From f29895e6a1664f206860bd07a2408c034ac598f8 Mon Sep 17 00:00:00 2001
From: Finance-781 <islashires@gmail.com>
Date: Sun, 12 Apr 2020 06:30:36 +1200
Subject: [PATCH] Initial commit

---
 .gitattributes                                |     2 +
 LICENSE.md                                    |    21 +
 README.md                                     |   110 +
 alg/asac/ASAC.py                              |   116 +
 alg/asac/Data_Generation_X.py                 |    74 +
 alg/asac/Data_Generation_Y.py                 |    98 +
 alg/asac/Main_Synthetic_Exp1.py               |   130 +
 alg/asac/Predictor_G.py                       |    91 +
 alg/asac/README.md                            |    20 +
 alg/asac/doc/3_6.pdf                          |   Bin 0 -> 1086517 bytes
 alg/asac/initpath_alg.py                      |    11 +
 alg/asac/test_asac.py                         |    61 +
 alg/asac/tutorial_asac.ipynb                  |   235 +
 ...ial_for_Attentive_State-space_Models.ipynb |   667 +
 alg/attentivess/data/make_data.py             |   111 +
 alg/attentivess/images/comparison.png         |   Bin 0 -> 87158 bytes
 alg/attentivess/models/SeqModels.py           |  1615 +
 alg/autoprognosis/README.md                   |    46 +
 alg/autoprognosis/autoprognosis.py            |   302 +
 alg/autoprognosis/autoprognosis_predict.py    |   103 +
 alg/autoprognosis/autoprognosis_report.py     |   160 +
 alg/autoprognosis/doc/AP_summary.pdf          |   Bin 0 -> 1045189 bytes
 alg/autoprognosis/initpath_ap.py              |    13 +
 alg/autoprognosis/model.py                    |  1271 +
 alg/autoprognosis/models/classifiers.py       |   735 +
 alg/autoprognosis/models/imputers.py          |   429 +
 alg/autoprognosis/models/preprocessors.py     |   262 +
 alg/autoprognosis/pipelines/basePipeline.py   |   198 +
 alg/autoprognosis/test_autoprognosis.py       |   156 +
 .../tutorial_autoprognosis_api.ipynb          |   189 +
 .../tutorial_autoprognosis_cli.ipynb          |    96 +
 alg/c3t_budgets/+func/C3T_Budget.m            |   233 +
 alg/c3t_budgets/+func/C3T_Budget_E.m          |   218 +
 alg/c3t_budgets/+func/EI.m                    |    13 +
 alg/c3t_budgets/+func/UCB_ind.m               |     7 +
 alg/c3t_budgets/+func/alpha_func.m            |    10 +
 alg/c3t_budgets/+func/gen_patients.m          |    11 +
 alg/c3t_budgets/README.txt                    |     5 +
 alg/c3t_budgets/run_main.m                    |   188 +
 .../README.md                                 |    18 +
 .../initpath_alg.py                           |    11 +
 .../make_data.py                              |    91 +
 .../models/causal_models.py                   |   604 +
 .../test_models.py                            |   108 +
 .../utils/metrics.py                          |    23 +
 .../CRN_decoder_evaluate.py                   |   260 +
 .../CRN_encoder_evaluate.py                   |   102 +
 .../CRN_model.py                              |   474 +
 alg/counterfactual_recurrent_network/LICENSE  |    21 +
 .../README.md                                 |    45 +
 .../test_crn.py                               |    81 +
 .../utils/cancer_simulation.py                |   933 +
 .../utils/evaluation_utils.py                 |   159 +
 .../utils/flip_gradient.py                    |    32 +
 alg/deephit/README.md                         |    34 +
 alg/deephit/class_DeepHit.py                  |   205 +
 alg/deephit/get_main.py                       |   182 +
 alg/deephit/import_data.py                    |   135 +
 alg/deephit/initpath_alg.py                   |    12 +
 alg/deephit/main_RandomSearch.py              |   192 +
 alg/deephit/summarize_results.py              |   259 +
 alg/deephit/test_deephit.py                   |   100 +
 alg/deephit/utils_eval.py                     |   142 +
 alg/deephit/utils_network.py                  |   104 +
 alg/dgp_survival/README.md                    |    19 +
 alg/dgp_survival/dgp.py                       |   116 +
 alg/dgp_survival/initpath_alg.py              |    11 +
 alg/dgp_survival/model/DeepGP.py              |   327 +
 alg/dgp_survival/tutorial_dgp_survival.ipynb  |    79 +
 alg/dgp_survival/utils/metrics.py             |    37 +
 alg/dklite/README.md                          |    18 +
 alg/dklite/data/ihdp_simulation.pickle        |   Bin 0 -> 166501 bytes
 alg/dklite/model.py                           |   393 +
 alg/dklite/tutorial_dklite.ipynb              |   158 +
 alg/dklite/utils_.py                          |   109 +
 alg/dpbag/DPBag_Final.py                      |   227 +
 alg/dpbag/DPBag_Tutorial.ipynb                |   203 +
 alg/dpbag/data/adult.data                     | 32562 ++++++++++++++++
 alg/dpbag/data/adult.test                     | 16282 ++++++++
 alg/dpbag/data_loading.py                     |   155 +
 alg/dpbag/main.py                             |    99 +
 alg/dpbag/readme.txt                          |    34 +
 alg/dynamic_disease_network_ddp/LICENSE       |     9 +
 alg/dynamic_disease_network_ddp/README.md     |    39 +
 .../data/model_test_ev50_big.pkl              |   Bin 0 -> 21191 bytes
 .../data/test_ev50_big.pkl                    |   Bin 0 -> 26092521 bytes
 .../data_loader.py                            |   188 +
 alg/dynamic_disease_network_ddp/models.py     |   665 +
 .../requirements.txt                          |     3 +
 alg/dynamic_disease_network_ddp/simulation.py |   142 +
 .../tutorial.ipynb                            |   373 +
 alg/gain/create_missing.py                    |   107 +
 alg/gain/gain.py                              |   391 +
 alg/gain/gain_ana.py                          |   156 +
 alg/gain/initpath_alg.py                      |    12 +
 alg/gain/readme.md                            |    29 +
 alg/gain/test_gain.py                         |   184 +
 alg/gain/tutorial_gain.ipynb                  |   119 +
 alg/ganite/README.md                          |    10 +
 alg/ganite/data_preprocessing_ganite.py       |   169 +
 alg/ganite/ganite.py                          |   369 +
 alg/ganite/ganite_ana.py                      |    76 +
 alg/ganite/initpath_alg.py                    |    12 +
 alg/ganite/test_ganite.py                     |   152 +
 alg/ganite/tutorial_ganite.ipynb              |    87 +
 alg/gcit/GCIT.py                              |   321 +
 alg/gcit/LICENSE                              |    21 +
 alg/gcit/README.md                            |    14 +
 alg/gcit/ccle_experiments/README.md           |    14 +
 alg/gcit/ccle_experiments/ccle_experiment.py  |   223 +
 alg/gcit/ccle_experiments/initpath_alg.py     |    11 +
 alg/gcit/initpath_alg.py                      |    11 +
 alg/gcit/test_gcit.py                         |    63 +
 alg/gcit/tutorial_gcit.ipynb                  |   155 +
 alg/gcit/utils.py                             |   321 +
 alg/invase/data_generation.py                 |   170 +
 alg/invase/initpath_alg.py                    |    12 +
 alg/invase/invase.py                          |   523 +
 alg/invase/invase_ana.py                      |    60 +
 alg/invase/invase_plot.py                     |    89 +
 alg/invase/readme.md                          |    19 +
 alg/invase/test_invase.py                     |   115 +
 alg/invase/tutorial_invase.ipynb              |   128 +
 alg/knockoffgan/KnockoffGAN.py                |   357 +
 alg/knockoffgan/README.md                     |    18 +
 alg/knockoffgan/gen_data.r                    |    67 +
 alg/knockoffgan/initpath_alg.py               |    11 +
 alg/knockoffgan/knockoffgan.r                 |   149 +
 alg/knockoffgan/test_knockoffgan.py           |   159 +
 alg/knockoffgan/tutorial_knockoffgan.ipynb    |   145 +
 alg/pategan/PATE_GAN.py                       |   226 +
 alg/pategan/README.md                         |    20 +
 alg/pategan/initpath_alg.py                   |    12 +
 alg/pategan/pategan.py                        |   129 +
 alg/pategan/tutorial_pategan.ipynb            |   153 +
 alg/smsdkl/Evaluate.py                        |   168 +
 alg/smsdkl/README.md                          |    13 +
 alg/smsdkl/data/household_power.pickle        |   Bin 0 -> 2213793 bytes
 alg/smsdkl/data_load.py                       |    41 +
 alg/smsdkl/model.py                           |   374 +
 alg/smsdkl/test_smsdkl.py                     |    93 +
 ...-_Introduction_to_Meijer_G-functions.ipynb |   296 +
 ...x_functions_using_Meijer_G-functions.ipynb |   523 +
 .../3-_Building_Symbolic_Metamodels.ipynb     |   224 +
 alg/symbolic_metamodeling/README.md           |     3 +
 .../data/absenteeism.csv                      |   741 +
 alg/symbolic_metamodeling/images/FigA1.png    |   Bin 0 -> 61274 bytes
 alg/symbolic_metamodeling/images/FigB1.png    |   Bin 0 -> 233856 bytes
 alg/symbolic_metamodeling/images/FigB2.png    |   Bin 0 -> 102046 bytes
 .../pysymbolic/algorithms/metamodeling.py     |   556 +
 .../algorithms/symbolic_expressions.py        |   134 +
 .../algorithms/symbolic_metamodeling.py       |   348 +
 .../benchmarks/synthetic_datasets.py          |   127 +
 .../benchmarks/univariate_functions.py        |    50 +
 .../pysymbolic/models/special_functions.py    |   164 +
 .../utilities/instancewise_metrics.py         |    62 +
 .../pysymbolic/utilities/performance.py       |    56 +
 .../pysymbolic/utilities/visualiation.py      |    32 +
 alg/test_alg.py                               |   139 +
 alg/timegan/data/GOOGLE_BIG.csv               |  3686 ++
 alg/timegan/data_loading.py                   |   100 +
 alg/timegan/main.py                           |   116 +
 .../metrics/discriminative_score_metrics.py   |   162 +
 .../metrics/predictive_score_metrics.py       |   129 +
 alg/timegan/metrics/visualization_metrics.py  |   108 +
 alg/timegan/readme.txt                        |    40 +
 alg/timegan/requirements.txt                  |     2 +
 alg/timegan/tgan.py                           |   371 +
 alg/timegan/tutorial_timegan.ipynb            |   236 +
 cfg/install_packages.r                        |    26 +
 cfg/requirements.txt                          |    30 +
 doc/install.md                                |    63 +
 init/initpath.py                              |     6 +
 util/data_loader_mlab.py                      |   237 +
 util/utilmlab.py                              |   294 +
 175 files changed, 79921 insertions(+)
 create mode 100644 .gitattributes
 create mode 100644 LICENSE.md
 create mode 100644 README.md
 create mode 100644 alg/asac/ASAC.py
 create mode 100644 alg/asac/Data_Generation_X.py
 create mode 100644 alg/asac/Data_Generation_Y.py
 create mode 100644 alg/asac/Main_Synthetic_Exp1.py
 create mode 100644 alg/asac/Predictor_G.py
 create mode 100644 alg/asac/README.md
 create mode 100644 alg/asac/doc/3_6.pdf
 create mode 100644 alg/asac/initpath_alg.py
 create mode 100644 alg/asac/test_asac.py
 create mode 100644 alg/asac/tutorial_asac.ipynb
 create mode 100644 alg/attentivess/Tutorial_for_Attentive_State-space_Models.ipynb
 create mode 100644 alg/attentivess/data/make_data.py
 create mode 100644 alg/attentivess/images/comparison.png
 create mode 100644 alg/attentivess/models/SeqModels.py
 create mode 100644 alg/autoprognosis/README.md
 create mode 100644 alg/autoprognosis/autoprognosis.py
 create mode 100644 alg/autoprognosis/autoprognosis_predict.py
 create mode 100644 alg/autoprognosis/autoprognosis_report.py
 create mode 100644 alg/autoprognosis/doc/AP_summary.pdf
 create mode 100644 alg/autoprognosis/initpath_ap.py
 create mode 100644 alg/autoprognosis/model.py
 create mode 100644 alg/autoprognosis/models/classifiers.py
 create mode 100644 alg/autoprognosis/models/imputers.py
 create mode 100644 alg/autoprognosis/models/preprocessors.py
 create mode 100644 alg/autoprognosis/pipelines/basePipeline.py
 create mode 100644 alg/autoprognosis/test_autoprognosis.py
 create mode 100644 alg/autoprognosis/tutorial_autoprognosis_api.ipynb
 create mode 100644 alg/autoprognosis/tutorial_autoprognosis_cli.ipynb
 create mode 100644 alg/c3t_budgets/+func/C3T_Budget.m
 create mode 100644 alg/c3t_budgets/+func/C3T_Budget_E.m
 create mode 100644 alg/c3t_budgets/+func/EI.m
 create mode 100644 alg/c3t_budgets/+func/UCB_ind.m
 create mode 100644 alg/c3t_budgets/+func/alpha_func.m
 create mode 100644 alg/c3t_budgets/+func/gen_patients.m
 create mode 100644 alg/c3t_budgets/README.txt
 create mode 100644 alg/c3t_budgets/run_main.m
 create mode 100644 alg/causal_multitask_gaussian_processes_ite/README.md
 create mode 100644 alg/causal_multitask_gaussian_processes_ite/initpath_alg.py
 create mode 100644 alg/causal_multitask_gaussian_processes_ite/make_data.py
 create mode 100644 alg/causal_multitask_gaussian_processes_ite/models/causal_models.py
 create mode 100644 alg/causal_multitask_gaussian_processes_ite/test_models.py
 create mode 100644 alg/causal_multitask_gaussian_processes_ite/utils/metrics.py
 create mode 100644 alg/counterfactual_recurrent_network/CRN_decoder_evaluate.py
 create mode 100644 alg/counterfactual_recurrent_network/CRN_encoder_evaluate.py
 create mode 100644 alg/counterfactual_recurrent_network/CRN_model.py
 create mode 100644 alg/counterfactual_recurrent_network/LICENSE
 create mode 100644 alg/counterfactual_recurrent_network/README.md
 create mode 100644 alg/counterfactual_recurrent_network/test_crn.py
 create mode 100644 alg/counterfactual_recurrent_network/utils/cancer_simulation.py
 create mode 100644 alg/counterfactual_recurrent_network/utils/evaluation_utils.py
 create mode 100644 alg/counterfactual_recurrent_network/utils/flip_gradient.py
 create mode 100644 alg/deephit/README.md
 create mode 100644 alg/deephit/class_DeepHit.py
 create mode 100644 alg/deephit/get_main.py
 create mode 100644 alg/deephit/import_data.py
 create mode 100644 alg/deephit/initpath_alg.py
 create mode 100644 alg/deephit/main_RandomSearch.py
 create mode 100644 alg/deephit/summarize_results.py
 create mode 100644 alg/deephit/test_deephit.py
 create mode 100644 alg/deephit/utils_eval.py
 create mode 100644 alg/deephit/utils_network.py
 create mode 100644 alg/dgp_survival/README.md
 create mode 100644 alg/dgp_survival/dgp.py
 create mode 100644 alg/dgp_survival/initpath_alg.py
 create mode 100644 alg/dgp_survival/model/DeepGP.py
 create mode 100644 alg/dgp_survival/tutorial_dgp_survival.ipynb
 create mode 100644 alg/dgp_survival/utils/metrics.py
 create mode 100644 alg/dklite/README.md
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 create mode 100644 alg/dklite/model.py
 create mode 100644 alg/dklite/tutorial_dklite.ipynb
 create mode 100644 alg/dklite/utils_.py
 create mode 100644 alg/dpbag/DPBag_Final.py
 create mode 100644 alg/dpbag/DPBag_Tutorial.ipynb
 create mode 100644 alg/dpbag/data/adult.data
 create mode 100644 alg/dpbag/data/adult.test
 create mode 100644 alg/dpbag/data_loading.py
 create mode 100644 alg/dpbag/main.py
 create mode 100644 alg/dpbag/readme.txt
 create mode 100644 alg/dynamic_disease_network_ddp/LICENSE
 create mode 100644 alg/dynamic_disease_network_ddp/README.md
 create mode 100644 alg/dynamic_disease_network_ddp/data/model_test_ev50_big.pkl
 create mode 100644 alg/dynamic_disease_network_ddp/data/test_ev50_big.pkl
 create mode 100644 alg/dynamic_disease_network_ddp/data_loader.py
 create mode 100644 alg/dynamic_disease_network_ddp/models.py
 create mode 100644 alg/dynamic_disease_network_ddp/requirements.txt
 create mode 100644 alg/dynamic_disease_network_ddp/simulation.py
 create mode 100644 alg/dynamic_disease_network_ddp/tutorial.ipynb
 create mode 100644 alg/gain/create_missing.py
 create mode 100644 alg/gain/gain.py
 create mode 100644 alg/gain/gain_ana.py
 create mode 100644 alg/gain/initpath_alg.py
 create mode 100644 alg/gain/readme.md
 create mode 100644 alg/gain/test_gain.py
 create mode 100644 alg/gain/tutorial_gain.ipynb
 create mode 100644 alg/ganite/README.md
 create mode 100644 alg/ganite/data_preprocessing_ganite.py
 create mode 100644 alg/ganite/ganite.py
 create mode 100644 alg/ganite/ganite_ana.py
 create mode 100644 alg/ganite/initpath_alg.py
 create mode 100644 alg/ganite/test_ganite.py
 create mode 100644 alg/ganite/tutorial_ganite.ipynb
 create mode 100644 alg/gcit/GCIT.py
 create mode 100644 alg/gcit/LICENSE
 create mode 100644 alg/gcit/README.md
 create mode 100644 alg/gcit/ccle_experiments/README.md
 create mode 100644 alg/gcit/ccle_experiments/ccle_experiment.py
 create mode 100644 alg/gcit/ccle_experiments/initpath_alg.py
 create mode 100644 alg/gcit/initpath_alg.py
 create mode 100644 alg/gcit/test_gcit.py
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 create mode 100644 alg/gcit/utils.py
 create mode 100644 alg/invase/data_generation.py
 create mode 100644 alg/invase/initpath_alg.py
 create mode 100644 alg/invase/invase.py
 create mode 100644 alg/invase/invase_ana.py
 create mode 100644 alg/invase/invase_plot.py
 create mode 100644 alg/invase/readme.md
 create mode 100644 alg/invase/test_invase.py
 create mode 100644 alg/invase/tutorial_invase.ipynb
 create mode 100644 alg/knockoffgan/KnockoffGAN.py
 create mode 100644 alg/knockoffgan/README.md
 create mode 100644 alg/knockoffgan/gen_data.r
 create mode 100644 alg/knockoffgan/initpath_alg.py
 create mode 100644 alg/knockoffgan/knockoffgan.r
 create mode 100644 alg/knockoffgan/test_knockoffgan.py
 create mode 100644 alg/knockoffgan/tutorial_knockoffgan.ipynb
 create mode 100644 alg/pategan/PATE_GAN.py
 create mode 100644 alg/pategan/README.md
 create mode 100644 alg/pategan/initpath_alg.py
 create mode 100644 alg/pategan/pategan.py
 create mode 100644 alg/pategan/tutorial_pategan.ipynb
 create mode 100644 alg/smsdkl/Evaluate.py
 create mode 100644 alg/smsdkl/README.md
 create mode 100644 alg/smsdkl/data/household_power.pickle
 create mode 100644 alg/smsdkl/data_load.py
 create mode 100644 alg/smsdkl/model.py
 create mode 100644 alg/smsdkl/test_smsdkl.py
 create mode 100644 alg/symbolic_metamodeling/1-_Introduction_to_Meijer_G-functions.ipynb
 create mode 100644 alg/symbolic_metamodeling/2-_Metamodeling_of_univariate_black-box_functions_using_Meijer_G-functions.ipynb
 create mode 100644 alg/symbolic_metamodeling/3-_Building_Symbolic_Metamodels.ipynb
 create mode 100644 alg/symbolic_metamodeling/README.md
 create mode 100644 alg/symbolic_metamodeling/data/absenteeism.csv
 create mode 100644 alg/symbolic_metamodeling/images/FigA1.png
 create mode 100644 alg/symbolic_metamodeling/images/FigB1.png
 create mode 100644 alg/symbolic_metamodeling/images/FigB2.png
 create mode 100644 alg/symbolic_metamodeling/pysymbolic/algorithms/metamodeling.py
 create mode 100644 alg/symbolic_metamodeling/pysymbolic/algorithms/symbolic_expressions.py
 create mode 100644 alg/symbolic_metamodeling/pysymbolic/algorithms/symbolic_metamodeling.py
 create mode 100644 alg/symbolic_metamodeling/pysymbolic/benchmarks/synthetic_datasets.py
 create mode 100644 alg/symbolic_metamodeling/pysymbolic/benchmarks/univariate_functions.py
 create mode 100644 alg/symbolic_metamodeling/pysymbolic/models/special_functions.py
 create mode 100644 alg/symbolic_metamodeling/pysymbolic/utilities/instancewise_metrics.py
 create mode 100644 alg/symbolic_metamodeling/pysymbolic/utilities/performance.py
 create mode 100644 alg/symbolic_metamodeling/pysymbolic/utilities/visualiation.py
 create mode 100644 alg/test_alg.py
 create mode 100644 alg/timegan/data/GOOGLE_BIG.csv
 create mode 100644 alg/timegan/data_loading.py
 create mode 100644 alg/timegan/main.py
 create mode 100644 alg/timegan/metrics/discriminative_score_metrics.py
 create mode 100644 alg/timegan/metrics/predictive_score_metrics.py
 create mode 100644 alg/timegan/metrics/visualization_metrics.py
 create mode 100644 alg/timegan/readme.txt
 create mode 100644 alg/timegan/requirements.txt
 create mode 100644 alg/timegan/tgan.py
 create mode 100644 alg/timegan/tutorial_timegan.ipynb
 create mode 100644 cfg/install_packages.r
 create mode 100644 cfg/requirements.txt
 create mode 100644 doc/install.md
 create mode 100644 init/initpath.py
 create mode 100644 util/data_loader_mlab.py
 create mode 100644 util/utilmlab.py

diff --git a/.gitattributes b/.gitattributes
new file mode 100644
index 00000000..dfe07704
--- /dev/null
+++ b/.gitattributes
@@ -0,0 +1,2 @@
+# Auto detect text files and perform LF normalization
+* text=auto
diff --git a/LICENSE.md b/LICENSE.md
new file mode 100644
index 00000000..15a969a1
--- /dev/null
+++ b/LICENSE.md
@@ -0,0 +1,21 @@
+# License
+
+Copyright 2019, 2020, ML-AIM
+
+The ML-AIM software is released under the [3-Clause BSD license](https://opensource.org/licenses/BSD-3-Clause) unless mentioned otherwise by the respective algorithms.
+
+## BSD-3-Clause
+
+
+Copied from https://opensource.org/licenses/BSD-3-Clause at 2020-02-08:
+
+Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
+
+1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
+
+2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
+
+3. Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
diff --git a/README.md b/README.md
new file mode 100644
index 00000000..05ff26c7
--- /dev/null
+++ b/README.md
@@ -0,0 +1,110 @@
+# ML-AIM: Machine Learning and Artificial Intelligence for Medicine
+
+This repository contains the implementations of algorithms developed
+by the [ML-AIM](http://www.vanderschaar-lab.com) Laboratory.
+
+1. [AutoPrognosis](https://icml.cc/Conferences/2018/Schedule?showEvent=2050): Automated Clinical Prognostic Modeling, ICML 2018 [software](alg/autoprognosis)
+2. [GAIN](http://proceedings.mlr.press/v80/yoon18a.html): a GAN based missing data imputation algorithm, ICML 2018 [software](alg/gain)
+3. [INVASE](https://openreview.net/forum?id=BJg_roAcK7): an Actor-critic model based instance wise feature selection algorithm, ICLR 2019 [software](alg/invase)
+4. [GANITE](https://openreview.net/forum?id=ByKWUeWA-): a GAN based algorithm for estimating individualized treatment effects, ICLR 2018 [software](alg/ganite)
+5. [DeepHit](http://medianetlab.ee.ucla.edu/papers/AAAI_2018_DeepHit): a Deep Learning Approach to Survival Analysis with Competing Risks, AAAI 2018 [software](alg/deephit)
+6. [PATE-GAN](https://openreview.net/forum?id=S1zk9iRqF7): Generating Synthetic Data with Differential Privacy Guarantees, ICLR 2019 [software](alg/pategan)
+7. [KnockoffGAN](https://openreview.net/pdf?id=ByeZ5jC5YQ): generating knockoffs for feature selection using generative adversarial networks, ICLR 2019 [software](alg/knockoffgan)
+8. [Causal Multi-task Gaussian Processes](https://papers.nips.cc/paper/6934-bayesian-inference-of-individualized-treatment-effects-using-multi-task-gaussian-processes.pdf): Bayesian Inference of Individualized Treatment Effects using Multi-task Gaussian Processes, NIPS 2017 [software](alg/causal_multitask_gaussian_processes_ite)
+9. [Limits of Estimating Heterogeneous Treatment Effects:Guidelines for Practical Algorithm Design](http://proceedings.mlr.press/v80/alaa18a/alaa18a.pdf)[software](alg/causal_multitask_gaussian_processes_ite)
+10. [ASAC](https://arxiv.org/abs/1906.06796): Active Sensing using Actor-Critic Models, MLHC 2019 [software](alg/asac)
+11. [DGPSurvival](https://papers.nips.cc/paper/6827-deep-multi-task-gaussian-processes-for-survival-analysis-with-competing-risks.pdf): Deep Multi-task Gaussian Processes for Survival Analysis with Competing Risks, NIPS 2018 [software](alg/dgp_survival)
+12. [Symbolic Metamodeling](https://papers.nips.cc/paper/9308-demystifying-black-box-models-with-symbolic-metamodels) Demystifying Black-box Models with Symbolic Metamodels, NeurIPS 2019 [software](alg/symbolic_metamodeling)
+13. [DPBAG](https://papers.nips.cc/paper/8684-differentially-private-bagging-improved-utility-and-cheaper-privacy-than-subsample-and-aggregate) Differentially Private Bagging: Improved utility and cheaper privacy than subsample-and-aggregate, NeurIPS 2019 [software](alg/dpbag)
+14. [TimeGAN](https://papers.nips.cc/paper/8789-time-series-generative-adversarial-networks) Time-series Generative Adversarial Networks, NeurIPS 2019 [software](alg/timegan)
+15. [Attentiveness](https://papers.nips.cc/paper/9311-attentive-state-space-modeling-of-disease-progression) Attentive State-Space Modeling of Disease Progression, NeurIPS 2019 [software](alg/attentivess)
+16. [GCIT](https://arxiv.org/pdf/1907.04068.pdf): Conditional Independence Testing with Generative Adversarial Networks, NeurIPS 2019 [software](alg/gcit)
+17. [Counterfactual Recurrent Network](https://openreview.net/forum?id=BJg866NFvB): Estimating counterfactual treatment outcomes over time through adversarially balanced representations, ICLR 2020 [software](alg/counterfactual_recurrent_network)
+18. [C3T Budget](https://arxiv.org/abs/2001.02463): Contextual constrained learning for dose-finding clinical trials, AISTATS 2020 [software](alg/c3t_budgets)
+19. [DKLITE](https://arxiv.org/abs/2001.04754): Learning Overlapping Representations for the Estimation of Individualized Treatment Effects, AISTATS 2020 [software](alg/dklite)
+20. [Dynamic disease network ddp](https://arxiv.org/abs/2001.02585): Learning Dynamic and Personalized Comorbidity Networks from Event Data using Deep Diffusion Processes, AISTATS 2020 [software](alg/dynamic_disease_network_ddp)
+21. [SMS-DKL](https://arxiv.org/abs/2001.03898): Stepwise Model Selection for Sequence Prediction via Deep Kernel Learning, AISTATS 2020 [software](alg/smsdkl)
+
+Prepared for release and maintained by AvdSchaar
+
+Please send comments and suggestions to mihaelaucla@gmail.com
+
+## Citations
+
+Please cite the [ML-AIM repository](https://bitbucket.org/mvdschaar/mlforhealthlabpub) and or the applicable papers if you use the software.
+
+## License
+
+Copyright 2019, 2020, ML-AIM
+
+The ML-AIM software is released under the [3-Clause BSD license](https://opensource.org/licenses/BSD-3-Clause) unless mentioned otherwise by the respective algorithms.
+
+## [Installation instructions](doc/install.md)
+
+See doc/install.md for installation instructions
+
+## Tutorials and or examples
+
+* AutoPrognosis:
+--  alg/autoprognosis/tutorial_autoprognosis_api.ipynb
+--  alg/autoprognosis/tutorial_autoprognosis_cli.ipynb
+* GAIN: alg/gain/tutorial_gain.ipynb
+* INVASE: alg/invase/tutorial_invase.ipynb
+* GANITE: alg/ganite/tutorial_ganite.ipynb
+* PATE-GAN: alg/pategan/tutorial_pategan.ipynb
+* KnockoffGAN: alg/knockoffgan/tutorial_knockoffgan.ipynb
+* ASAC: alg/asac/tutorial_asac.ipynb
+* DGPSurvival: alg/dgp_survival/tutorial_dgp.ipynb
+* Symbolic Metamodeling:
+-- alg/symbolic_metamodeling/1-_Introduction_to_Meijer_G-functions.ipynb
+-- alg/symbolic_metamodeling/2-_Metamodeling_of_univariate_black-box_functions_using_Meijer_G-functions.ipynb
+-- alg/symbolic_metamodeling/3-_Building_Symbolic_Metamodels.ipynb
+* Differentially Private Bagging: alg/dpbag/DPBag_Tutorial.ipynb
+* Time-series Generative Adversarial Networks: alg/timegan/tutorial_timegan.ipynb
+* Attentive State-Space Modeling of Disease Progression: alg/attentivess/Tutorial_for_Attentive_State-space_Models.ipynb
+* Conditional Independence Testing with Generative Adversarial Networks: alg/gcit/tutorial_gcit.ipynb
+* DKLITE: alg/dklite/tutorial_dklite.ipynb
+* SMS-DKL: alg/smsdkl/test_smsdkl.py
+
+### [Presentation Autoprognosis](https://www.youtube.com/watch?v=d1uEATa0qIo)
+
+You can find a presentation by Prof. van der Schaar describing AutoPrognosis here: https://www.youtube.com/watch?v=d1uEATa0qIo
+
+## Version history
+
+- version 1.7: February 27, 2020: SMS-DKL
+- version 1.6: February 24, 2020: DKLITE and dynamic disease network ddp
+- version 1.5: February 23, 2020: C3T Budget
+- version 1.4: February 3, 2020: Counterfactual Recurrent Network
+- version 1.3: December 7, 2019: Conditional Independence Testing with Generative Adversarial Networks
+- version 1.1: November 30, 2019: Attentive State-Space Modeling
+- version 1.0: November 4, 2019: Differentially Private Bagging and Time-series Generative Adversarial Networks
+- version 0.9: October 25, 2019: Symbolic Metamodeling
+- version 0.8: September 29, 2019: DGP Survival
+- version 0.7: September 20, 2019: ASAC
+- version 0.6: August 5, 2019: Causal Multi-task Gaussian Processes
+- version 0.5: July 24, 2019: KnockoffGAN
+- version 0.4: June 18, 2019: Deephit and PATE-GAN
+
+## References
+1. [AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization with Structured Kernel Learning](https://icml.cc/Conferences/2018/Schedule?showEvent=2050)
+2. [Prognostication and Risk Factors for Cystic Fibrosis via Automated Machine Learning](https://www.nature.com/articles/s41598-018-29523-2)
+3. [Cardiovascular Disease Risk Prediction using Automated Machine Learning: A Prospective Study of 423,604 UK Biobank Participants](https://www.ncbi.nlm.nih.gov/pubmed/31091238)
+4. [GAIN: Missing Data Imputation using Generative Adversarial Nets](http://proceedings.mlr.press/v80/yoon18a.html)
+5. [INVASE: Instance-wise Variable Selection using Neural Networks](https://openreview.net/forum?id=BJg_roAcK7)
+6. [GANITE: Estimation of Individualized Treatment Effects using Generative Adversarial Nets](https://openreview.net/forum?id=ByKWUeWA-)
+7. [KnockoffGAN](https://openreview.net/pdf?id=ByeZ5jC5YQ): generating knockoffs for feature selection using generative adversarial networks
+8. [Bayesian Inference of Individualized Treatment Effects using Multi-task Gaussian Processes](https://papers.nips.cc/paper/6934-bayesian-inference-of-individualized-treatment-effects-using-multi-task-gaussian-processes.pdf)
+9. [Limits of Estimating Heterogeneous Treatment Effects:Guidelines for Practical Algorithm Design](http://proceedings.mlr.press/v80/alaa18a/alaa18a.pdf)
+10. [ASAC](https://arxiv.org/abs/1906.06796) Active Sensing using Actor-Critic Models
+11. [DGPSurvival](https://papers.nips.cc/paper/6827-deep-multi-task-gaussian-processes-for-survival-analysis-with-competing-risks.pdf): Deep Multi-task Gaussian Processes for Survival Analysis with Competing Risks
+12. [GCIT](https://arxiv.org/pdf/1907.04068.pdf): Conditional Independence Testing with Generative Adversarial Networks
+13. [Counterfactual Recurrent Network](https://openreview.net/forum?id=BJg866NFvB): Estimating counterfactual treatment outcomes over time through adversarially balanced representations
+14. [C3T Budget](https://arxiv.org/abs/2001.02463): Contextual constrained learning for dose-finding clinical trials
+15. [SMS-DKL](https://arxiv.org/abs/2001.03898): Stepwise Model Selection for Sequence Prediction via Deep Kernel Learning
+16. Dua, D. and Graff, C. (2019). [UCI Machine Learning Repository](http://archive.ics.uci.edu/ml). Irvine, CA: University of California, School of Information and Computer Science.
+17. Scikit-learn: Machine Learning in Python, Pedregosa et al., JMLR 12, pp. 2825-2830, 2011.
+18. [TensorFlow](tensorflow.org): Large-scale machine learning on heterogeneous systems, 2015. Software available from tensorflow.org.
+19. [GPyOpt](http://github.com/SheffieldML/GPyOpt): A Bayesian Optimization framework in python
+20. [scikit-survival](https://github.com/sebp/scikit-survival) survival analysis built on top of scikit-learn
+21. [3-Clause BSD license](https://opensource.org/licenses/BSD-3-Clause)
diff --git a/alg/asac/ASAC.py b/alg/asac/ASAC.py
new file mode 100644
index 00000000..fa913fc3
--- /dev/null
+++ b/alg/asac/ASAC.py
@@ -0,0 +1,116 @@
+'''
+ASAC (Active Sensing using Actor-Critic Model) (12/18/2018)
+Active Sensing Function
+'''
+
+#%% Necessary Packages
+import tensorflow as tf
+import numpy as np
+
+#%% ASAC Function
+'''
+Inputs: 
+  - trainX, train Y (training set)
+  - testX: testing features
+  - cost: measurement costs
+  
+Outputs:
+  - Selected training samples
+  - Selected testing samples
+'''
+
+
+def ASAC(
+        trainX,
+        trainY,
+        testX,
+        cost,
+        iterations=5001,
+        learning_rate=0.01):
+
+    ##### Initialization on the Graph
+    tf.reset_default_graph()
+
+    # Network Parameters
+    seq_length = len(trainX[0][:,0])
+    data_dim = len(trainX[0][0,:])
+    hidden_dim1 = 5
+    hidden_dim2 = 5
+    output_dim1 = data_dim
+    output_dim2 = 1
+    # learning_rate = 0.01
+    
+    #%% Preprocessing
+    New_trainX = list()
+    for i in range(len(trainX)):
+        Temp = trainX[i].copy()
+        Temp[1:,:] = Temp[:(seq_length-1),:] 
+        Temp[0,:] = np.zeros([data_dim])
+        
+        New_trainX.append(Temp)
+        
+    New_testX = list()
+    for i in range(len(testX)):
+        Temp = testX[i].copy()
+        Temp[1:,:] = Temp[:(seq_length-1),:] 
+        Temp[0,:] = np.zeros([data_dim])
+        
+        New_testX.append(Temp)
+    
+    #%% Network Building
+    # input place holders
+    
+    New_X = tf.placeholder(tf.float32, [None, seq_length, data_dim])
+    X = tf.placeholder(tf.float32, [None, seq_length, data_dim])
+    Y = tf.placeholder(tf.float32, [None, seq_length])
+    
+    # build a LSTM network
+    cell1 = tf.contrib.rnn.BasicLSTMCell(num_units=hidden_dim1, state_is_tuple=True, activation=None, name = 'cell1')
+    outputs1, _states1 = tf.nn.dynamic_rnn(cell1, New_X, dtype=tf.float32)
+    Mask = tf.contrib.layers.fully_connected(outputs1, output_dim1, activation_fn=tf.sigmoid)  # We use the last cell's output
+    New_Mask = tf.maximum(Mask-0.499,0)
+    New_Mask = New_Mask * 10000
+    New_Mask = tf.minimum(New_Mask,1)
+    
+    cell2 = tf.contrib.rnn.BasicLSTMCell(num_units=hidden_dim2, state_is_tuple=True, activation=tf.tanh, name = 'cell2')
+    outputs2, _states2 = tf.nn.dynamic_rnn(cell2, X * New_Mask, dtype=tf.float32)
+    Y_pred = tf.contrib.layers.fully_connected(outputs2, output_dim2, activation_fn=None)  # We use the last cell's output
+        
+    # cost/loss
+    loss1 = tf.reduce_sum(tf.square(tf.reshape(Y_pred, [-1,seq_length]) - Y))   # sum of the squares
+    loss2 = tf.reduce_sum(New_Mask * cost)
+    loss = loss1 + 0.0001 * loss2
+    # optimizer
+    optimizer = tf.train.AdamOptimizer(learning_rate)
+    train = optimizer.minimize(loss)
+    
+    #%% Sessions    
+    sess = tf.Session()
+        
+    # Initialization
+    sess.run(tf.global_variables_initializer())
+    
+    #%% Training step
+    for i in range(iterations):
+        _, step_loss1, step_loss2 = sess.run([train, loss1, loss2], feed_dict={X: trainX, Y: trainY, New_X: New_trainX})
+        
+        if i % 1000 == 0:
+            print('step: ' + str(i) + ', Loss1: ' + str(step_loss1) + ', Loss2: ' + str(step_loss2))
+            
+    #%% Test step
+    train_mask = sess.run(Mask, feed_dict = {X: trainX, New_X: New_trainX})
+    test_mask = sess.run(Mask, feed_dict = {X: testX, New_X: New_testX})
+    
+    #%% Output
+    # Selected Training / Testing Samples
+    
+    Final_train_mask = list()
+    Final_test_mask = list()
+    
+    for i in range(len(trainX)):
+        Final_train_mask.append(np.round(train_mask[i,:,:]))        
+    
+    for i in range(len(testX)):
+        Final_test_mask.append(np.round(test_mask[i,:,:]))        
+        
+    return Final_train_mask, Final_test_mask
diff --git a/alg/asac/Data_Generation_X.py b/alg/asac/Data_Generation_X.py
new file mode 100644
index 00000000..4880ff08
--- /dev/null
+++ b/alg/asac/Data_Generation_X.py
@@ -0,0 +1,74 @@
+# Necessary Packages
+import numpy as np
+
+#%% AR(1) Generation. 
+'''
+X_t = coef * X_t-1 + n 
+n ~ N(0, sigma^2)
+sigma = np.sqrt(margin*(1-coef*coef)) 
+Therefore, Marginal distribution is N(0, margin)
+
+Inputs
+- n: Number of samples
+- p: Number of features
+- phi: Autoregressiveness
+- margin: Std of the normal distribution 
+'''
+def AR_Gauss_X1 (n, d, t, phi, sigma):
+
+    # Initialization
+    Output_X = list()
+                
+    # For each sample
+    for i in range(n):
+        
+        Temp_Output_X = np.zeros([t,d])
+        
+        # For each feature
+        for j in range(d):
+        
+            for k in range(t):
+              
+                # Starting feature
+                if (k == 0):            
+                    Temp_Output_X[k,j] = np.random.normal(0,sigma)
+                                
+                # AR(1) Generation
+                else:                
+                    Temp_Output_X[k,j] = phi[j] * Temp_Output_X[k-1,j] + (1-phi[j])*np.random.normal(0,sigma)
+    
+        Output_X.append(Temp_Output_X)    
+    
+    return Output_X
+  
+#%% 
+def AR_Gauss_X2 (n, d, t, phi, sigma, gamma):
+
+    # Initialization
+    Output_X = list()
+                
+    # For each sample
+    for i in range(n):
+        
+        Temp_Output_X = np.zeros([t,2*d])
+        
+        # For each feature
+        for j in range(d):
+        
+            for k in range(t):
+              
+                # Starting feature
+                if (k == 0):            
+                    Temp_Output_X[k,j] = np.random.normal(0,sigma)
+                                
+                # AR(1) Generation
+                else:                
+                    Temp_Output_X[k,j] = phi[j] * Temp_Output_X[k-1,j] + (1-phi[j])*np.random.normal(0,sigma)
+                
+                Temp_Output_X[k,d+j] = Temp_Output_X[k,j] + np.random.normal(0,gamma)       
+        
+    
+        Output_X.append(Temp_Output_X)    
+    
+    return Output_X
+  
\ No newline at end of file
diff --git a/alg/asac/Data_Generation_Y.py b/alg/asac/Data_Generation_Y.py
new file mode 100644
index 00000000..16bd2209
--- /dev/null
+++ b/alg/asac/Data_Generation_Y.py
@@ -0,0 +1,98 @@
+# -*- coding: utf-8 -*-
+
+import numpy as np
+
+#%% Corresponding Y generation
+def Syn_Generation_Y1(X, W, sigma):
+    
+    # No of samples
+    n = len(X) 
+    t = len(X[0][:,0])
+    
+    # Initialization
+    Output_Y = list()
+    
+    for i in range(n):
+        Temp_X = X[i]
+        Temp_Y = np.zeros([t,])
+        for j in range(t):
+            Temp_Y[j] =  np.exp(-np.abs(np.sum(W * Temp_X[j,:]))) + np.random.normal(loc = 0, scale = sigma)
+            
+        Output_Y.append(Temp_Y)    
+    
+    return Output_Y
+  
+  
+  #%% Corresponding Y generation
+def Syn_Generation_Y2(X, W, sigma):
+    
+    # No of samples
+    n = len(X) 
+    t = len(X[0][:,0])
+    d = int(len(X[0][0,:])/2)
+    
+    # Initialization
+    Output_Y = list()
+    
+    for i in range(n):
+        Temp_X = X[i]
+        Temp_Y = np.zeros([t,])
+        for j in range(t):
+            Temp_Y[j] =  np.exp(-np.abs(np.sum(W * Temp_X[j,:d]))) + np.random.normal(loc = 0, scale = sigma)
+            
+        Output_Y.append(Temp_Y)
+    
+    
+    return Output_Y
+  
+#%% Corresponding Y generation
+def Syn_Generation_Y3(X, W, sigma, eta):
+    
+    # No of samples
+    n = len(X) 
+    t = len(X[0][:,0])
+    d = int(len(X[0][0,:])/2)
+    
+    # Initialization
+    Output_Y = list()
+    
+    for i in range(n):
+        Temp_X = X[i]
+        Temp_Y = np.zeros([t,])
+        for j in range(t):
+            Temp_Y[j] =  np.exp(-np.abs(np.sum(W * Temp_X[j,:d]))) + np.random.normal(loc = 0, scale = sigma)
+            
+            
+        Output_Y.append(Temp_Y)
+    
+    
+    #%% Cost Generation
+    
+    Output_C = list()
+    Output_G = list()
+    
+    for i in range(n):
+        Temp = X[i].copy()
+        Temp_Y = Output_Y[i]
+        Temp_G = X[i].copy()
+        
+        for j in range(t):
+            if (Temp_Y[j] < 0.5):
+                Temp[j,:] = np.asarray([1,1,1,1,1,1,1,1,1,1,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2])
+                Temp_G[j,:] = np.asarray([0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0])
+            else:
+                Temp[j,:] = eta * np.asarray([1,1,1,1,1,1,1,1,1,1,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2])
+                Temp_G[j,:] = np.asarray([1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1])
+                
+        Output_C.append(Temp)
+        Output_G.append(Temp_G)
+    
+    return Output_Y, Output_C, Output_G
+  
+  
+  
+  
+  
+  
+  
+  
diff --git a/alg/asac/Main_Synthetic_Exp1.py b/alg/asac/Main_Synthetic_Exp1.py
new file mode 100644
index 00000000..059c53d1
--- /dev/null
+++ b/alg/asac/Main_Synthetic_Exp1.py
@@ -0,0 +1,130 @@
+'''
+ASAC (Active Sensing using Actor-Critic Model) (12/18/2018)
+Experiment 1 on Synthetic Data (Cost vs Selection) 
+'''
+
+#%% Necessary Packages
+import numpy as np
+from tqdm import tqdm
+from sklearn.metrics import mean_squared_error
+import argparse
+import json
+
+#%% Function Call
+# X, Y Generation
+'''
+X: Generated from AR_Gauss
+Y: Generated from SYN1
+'''
+from Data_Generation_X import AR_Gauss_X1
+from Data_Generation_Y import Syn_Generation_Y1
+
+# ASAC
+from ASAC import ASAC
+
+# Predictor after selection
+from Predictor_G import Predictor_G
+
+#%% Parameters
+# n: No of samples, 
+# d: No of dimensions, 
+# t: No of time stamps, 
+# Iteration_No: Experiment iterations
+# cost_coef: cost of each features
+
+
+def main_exp1(cost_coef, Iteration_No, niter, learning_rate):
+  
+    # Parameters
+    n = 10000
+    d = 10
+    t = 9
+    
+    # Phi and W for X Generation    
+    phi = np.asarray([0,0.1,0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9])
+    W = np.asarray([0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1])
+    
+    # X, Y Variance
+    sigma_X = 1
+    sigma_Y = 0.1       
+    
+    # Given Cost
+    cost = cost_coef * np.asarray([1,1,1,1,1,1,1,1,1,1])
+        
+    # Output Initialization
+    Output = np.zeros([Iteration_No,(d+1)])
+    print(Iteration_No)
+
+    #%% Iterations
+    for it in tqdm(range(Iteration_No)):
+        
+        # Data Generation
+        trainX = AR_Gauss_X1 (n, d, t, phi, sigma_X)            
+        testX = AR_Gauss_X1 (n, d, t, phi, sigma_X) 
+        
+        trainY = Syn_Generation_Y1(trainX, W, sigma_Y)
+        testY = Syn_Generation_Y1(testX, W, sigma_Y)
+                  
+        #%% ASAC
+        '''
+        Inputs: trainX, trainY, testX, cost
+        Outputs: selected features in training and testing set
+        '''
+        trainG_hat, testG_hat = ASAC(trainX, trainY, testX, cost, niter) 
+        
+        # Prediction after selection
+        testY_hat = Predictor_G(trainX, testX, trainY, trainG_hat, testG_hat, niter)   
+            
+        #%% Performance Metrics     
+        
+        Temp_TPR  = np.zeros([d,])
+        Temp_RMSE = 0        
+            
+        for i in range(n):
+            
+            for mm in range(d):
+                
+                Temp_TPR[mm] = Temp_TPR[mm] + np.sum(testG_hat[i][:,mm])
+                    
+            Temp_RMSE = Temp_RMSE + (mean_squared_error(testY[i],testY_hat[i]))
+            
+        for mm in range(d):
+            Output[it,mm]  = Temp_TPR[mm]  / float(n*t)
+                
+        Output[it,d] = np.sqrt(Temp_RMSE / float(n))  
+      
+    return Output
+
+
+def init_arg():
+    parser = argparse.ArgumentParser()
+    parser.add_argument("-n", "--numexp", default=10, type=int)
+    parser.add_argument("--it", default=5001, type=int)
+    parser.add_argument("--lr", default=0.01, type=float)
+    return parser.parse_args()
+
+
+if __name__ == '__main__':
+
+    args = init_arg()
+    cost_coef_lst = [2, 4, 6, 8, 10]
+    Iteration_No = args.numexp
+    niter = args.it
+    learning_rate = args.lr
+    result_lst = []
+    for cost_coef in cost_coef_lst:
+
+        # Run Main Function
+        Output = main_exp1(cost_coef, Iteration_No, niter, learning_rate)
+
+        # Print Results
+        selected_ratio = np.round(np.mean(Output[:, :10], axis=0), 3)
+        print('Results with # experiments {} Cost {} : Selected Ratio: {}'.format(
+            Iteration_No, cost_coef, selected_ratio))
+        rmse = np.round(np.mean(Output[:, 10], axis=0), 3)
+        print('RMSE: {:0.3f}'.format(rmse))
+        result_lst.append((cost_coef, selected_ratio, rmse))
+    print('final results:')
+    for cost_coef, selected_ratio, rmse in result_lst:
+        print('coef {:0.3f} ratio:{} rmse:{:.3f} {}'.format(
+            cost_coef, cost_coef/cost_coef_lst[0], rmse, selected_ratio))
diff --git a/alg/asac/Predictor_G.py b/alg/asac/Predictor_G.py
new file mode 100644
index 00000000..a4a681f6
--- /dev/null
+++ b/alg/asac/Predictor_G.py
@@ -0,0 +1,91 @@
+'''
+ASAC (Active Sensing using Actor-Critic Model) (12/18/2018)
+Prediction Function only with Selected Samples
+'''
+
+#%% Necessary packages
+import tensorflow as tf
+
+#%% Prediction Function
+'''
+Inputs: 
+  - trainX, train Y (training set)
+  - testX: testing features
+  - trainG: mask vector for selected training samples
+  - trainG: mask vector for selected testing samples
+  
+Outputs:
+  - Prediction results on testing set
+'''
+
+def Predictor_G (trainX, testX, trainY, trainG, testG, iterations=5001): 
+  
+    # Initialization on the Graph
+    tf.reset_default_graph()
+
+    #%% Preprocessing
+    Train_No = len(trainY)
+    Test_No = len(trainY)
+
+    New_trainX = list()
+    for i in range(Train_No):
+        Temp = trainX[i]
+        Temp = Temp * trainG[i]
+        
+        New_trainX.append(Temp)
+        
+    New_testX = list()
+    for i in range(Test_No):
+        Temp = testX[i]
+        Temp = Temp * testG[i]
+        
+        New_testX.append(Temp)
+
+    #%% Network Parameters
+    seq_length = len(New_trainX[0][:,0])
+    data_dim = len(New_trainX[0][0,:])
+    hidden_dim = 5
+    output_dim = 1
+    learning_rate = 0.01
+    
+    #%% Network Build
+    # input place holders
+    X = tf.placeholder(tf.float32, [None, seq_length, data_dim])
+    Y = tf.placeholder(tf.float32, [None, seq_length])
+    
+    # build a LSTM network
+    cell = tf.contrib.rnn.BasicLSTMCell(num_units=hidden_dim, state_is_tuple=True, activation=tf.tanh)
+    outputs, _states = tf.nn.dynamic_rnn(cell, X, dtype=tf.float32)
+    Y_pred = tf.contrib.layers.fully_connected(outputs, output_dim, activation_fn=None)  # We use the last cell's output
+    
+    # cost/loss
+    loss = tf.reduce_sum(tf.square(tf.reshape(Y_pred, [-1,seq_length]) - Y))  # sum of the squares
+    # optimizer
+    optimizer = tf.train.AdamOptimizer(learning_rate)
+    train = optimizer.minimize(loss)
+        
+    #%% Sessions    
+    sess = tf.Session()
+        
+    # Initialization
+    sess.run(tf.global_variables_initializer())
+    
+    #%% Training step
+    for i in range(iterations):
+        _, step_loss = sess.run([train, loss], feed_dict={X: New_trainX, Y: trainY})
+        
+        if i % 100 == 0:
+            print("[step: {}] loss: {}".format(i, step_loss))
+    
+    # Test step
+    test_predict = sess.run(Y_pred, feed_dict={X: New_testX})
+
+    #%% Output
+    
+    Final = list()
+    
+    for i in range(len(testX)):
+        Final.append(test_predict[i,:,0])
+        
+    return Final
+    
diff --git a/alg/asac/README.md b/alg/asac/README.md
new file mode 100644
index 00000000..69d067ef
--- /dev/null
+++ b/alg/asac/README.md
@@ -0,0 +1,20 @@
+# ASAC
+
+Written by Jinsung Yoon
+Date: Dec 18th 2018
+ASAC: Active Sensing using Actor-Critic Models
+Reference: J. Yoon, J. Jordon, M. van der Schaar, "ASAC: Active Sensing using Actor-Critic Models," Machine Learning for Healthcare Conference (MLHC), 2019.
+Paper Link: https://arxiv.org/abs/1906.06796
+Contact: jsyoon0823@g.ucla.edu
+
+
+```
+ASAC.py: # implements ASAC, Given time-series sequences, provide sequentially selected temporal features
+         # Input: Time-series, Output: Binary time-series selection features
+```
+
+## Usage
+```
+python3 Main_Synthetic_Exp1.py  # replicates Experiment 1 on Synthetic Dataset (Time-dependency vs Measurement rate)
+```
+
diff --git a/alg/asac/doc/3_6.pdf b/alg/asac/doc/3_6.pdf
new file mode 100644
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literal 0
HcmV?d00001

diff --git a/alg/asac/initpath_alg.py b/alg/asac/initpath_alg.py
new file mode 100644
index 00000000..c6272959
--- /dev/null
+++ b/alg/asac/initpath_alg.py
@@ -0,0 +1,11 @@
+def init_sys_path():
+    import os
+    import sys
+    depth = 2
+    path = os.path.dirname(os.path.realpath(__file__))
+    for d in range(depth):
+        path = os.path.join(path, os.pardir)
+    proj_dir = os.path.abspath(path)
+    sys.path.append(os.path.join(proj_dir, 'init'))
+    import initpath
+    initpath.platform_init_path(proj_dir)
diff --git a/alg/asac/test_asac.py b/alg/asac/test_asac.py
new file mode 100644
index 00000000..1894363a
--- /dev/null
+++ b/alg/asac/test_asac.py
@@ -0,0 +1,61 @@
+'''
+Example/Test script for ASAC
+'''
+import sys
+import os
+import argparse
+import json
+from pathlib import Path
+import initpath_alg
+initpath_alg.init_sys_path()
+import utilmlab
+
+
+def init_arg():
+    parser = argparse.ArgumentParser()
+    parser.add_argument('--exe', help='python interpreter to use')
+    parser.add_argument('--it', default=5000, type=int)
+    parser.add_argument('--projdir')
+    parser.add_argument("-n", "--numexp", default=10, type=int)
+    return parser.parse_args()
+
+
+if __name__ == '__main__':
+
+    args = init_arg()
+
+    numexp = args.numexp
+
+    proj_dir = utilmlab.get_proj_dir() \
+        if args.projdir is None else args.projdir
+
+    alg = 'asac'
+
+    if args.exe is not None:
+        python_exe = args.exe
+    else:
+        python_exe = 'python' if sys.version_info[0] < 3 else 'python3'
+
+    niter = args.it
+    version = 1
+
+    resdir = '{}/result/{}/v_{}/h_{}'.format(
+        proj_dir,
+        alg,
+        version,
+        os.environ['HOSTNAME'] if 'HOSTNAME' in os.environ else 'unknown')
+
+    utilmlab.ensure_dir(resdir)
+
+    logger = utilmlab.init_logger(resdir, 'log_test_{}.txt'.format(alg))
+
+    result_lst = []
+
+    script = Path('{}/alg/asac/Main_Synthetic_Exp1.py'.format(proj_dir))
+
+    utilmlab.exe_cmd(
+        logger,
+        '{} {} {}'.format(
+            python_exe,
+            script,
+            '--it {} -n {}'.format(niter, numexp)))
diff --git a/alg/asac/tutorial_asac.ipynb b/alg/asac/tutorial_asac.ipynb
new file mode 100644
index 00000000..21ae55fe
--- /dev/null
+++ b/alg/asac/tutorial_asac.ipynb
@@ -0,0 +1,235 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Tutorial ASAC\n",
+    "\n",
+    "    \n",
+    " ## Active Sensing using Actor-Critic Models"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "This tutorial shows how to use ASAC to do active sensing. Follow link [ASAC](https://static1.squarespace.com/static/59d5ac1780bd5ef9c396eda6/t/5d4736c0f352bf000130a3c2/1564948163734/Yoon.pdf) for more details. We are using the synthetic dataset (used in Section 4.3.1) as an example."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Load Necessary Packages and Functions"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#%% Necessary Packages\n",
+    "import numpy as np\n",
+    "from tqdm import tqdm\n",
+    "from sklearn.metrics import mean_squared_error\n",
+    "\n",
+    "#%% Function Call\n",
+    "# X, Y Generation\n",
+    "'''\n",
+    "X: Generated from AR_Gauss\n",
+    "Y: Generated from SYN1\n",
+    "'''\n",
+    "from Data_Generation_X import AR_Gauss_X1\n",
+    "from Data_Generation_Y import Syn_Generation_Y1\n",
+    "\n",
+    "# ASAC\n",
+    "from ASAC import ASAC\n",
+    "\n",
+    "# Predictor after selection\n",
+    "from Predictor_G import Predictor_G"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Data Generation Parameters Assign"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    " # Parameters\n",
+    "n = 10000\n",
+    "d = 10\n",
+    "t = 9\n",
+    "    \n",
+    "# Phi and W for X Generation    \n",
+    "phi = np.asarray([0,0.1,0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9])\n",
+    "W = np.asarray([0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1])\n",
+    "    \n",
+    "# X, Y Variance\n",
+    "sigma_X = 1\n",
+    "sigma_Y = 0.1       "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Data Generation"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "trainX = AR_Gauss_X1 (n, d, t, phi, sigma_X)            \n",
+    "testX = AR_Gauss_X1 (n, d, t, phi, sigma_X) \n",
+    "        \n",
+    "trainY = Syn_Generation_Y1(trainX, W, sigma_Y)\n",
+    "testY = Syn_Generation_Y1(testX, W, sigma_Y)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Cost Value Define"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "cost_coef = 2\n",
+    "cost = cost_coef * np.asarray([1,1,1,1,1,1,1,1,1,1])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Run ASAC \n",
+    "\n",
+    "Inputs: trainX, trainY, testX, cost\n",
+    "Outputs: selected features in training and testing set"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "trainG_hat, testG_hat = ASAC(trainX, trainY, testX, cost) "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Run Predictive Model only with Selected Features"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "testY_hat = Predictor_G(trainX, testX, trainY, trainG_hat, testG_hat)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Performance Measure"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "Output = np.zeros([(2*d+1)])\n",
+    "\n",
+    "Temp_TPR  = np.zeros([d,])\n",
+    "Temp_RMSE = 0        \n",
+    "            \n",
+    "for i in range(n):\n",
+    "            \n",
+    "    for mm in range(d):\n",
+    "                \n",
+    "        Temp_TPR[mm] = Temp_TPR[mm] + np.sum(testG_hat[i][:,mm])\n",
+    "                    \n",
+    "    Temp_RMSE = Temp_RMSE + (mean_squared_error(testY[i],testY_hat[i]))\n",
+    "            \n",
+    "    for mm in range(d):\n",
+    "        Output[mm]  = Temp_TPR[mm]  / float(n*t)\n",
+    "                \n",
+    "    Output[d] = np.sqrt(Temp_RMSE / float(n))  "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Print Performance"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "print('Results with Cost '+str(cost_coef) + ' :')\n",
+    "print('Selected Ratio: ')\n",
+    "print(np.round(Output[:10],3))\n",
+    "        \n",
+    "print('RMSE: ')\n",
+    "print(Output[10])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/alg/attentivess/Tutorial_for_Attentive_State-space_Models.ipynb b/alg/attentivess/Tutorial_for_Attentive_State-space_Models.ipynb
new file mode 100644
index 00000000..f50f8540
--- /dev/null
+++ b/alg/attentivess/Tutorial_for_Attentive_State-space_Models.ipynb
@@ -0,0 +1,667 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Attentive State-space Models\n",
+    "\n",
+    "### A complete guide for using attentive state-space models for sequential, time-series data.\n",
+    "\n",
+    "This notebook is based on the paper *\"Attentive State-Space Modeling of Disease Progression\"* by *Ahmed M. Alaa* and *Mihaela van der Schaar* submitted to **NeurIPS 2019**. In this paper, we develop a deep probabilistic model that learns accurate and interpretable structured representations for disease trajectories. Unlike Markovian state-space models, in which the dynamics are memoryless, our model uses an attention mechanism to create \"memoryful\" dynamics, whereby attention weights determine the dependence of future disease states on past medical history. In what follows, we briefly explain the basic API for the Python (Tensorflow) implementation of the model, and provide examples for how to use."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### A brief explanation of the model\n",
+    "\n",
+    "An attentive state-space model is a deep probabilistic model that capitalizes on both the interpretable structured representations of probabilistic models and the predictive strength of deep learning methods. The model uses a state-space representation to segment an observable trajectory into hidden states. But unlike conventional state-space models, which are predominantly Markovian, we use RNNs to capture more complex state dynamics as shown in the figure below.\n",
+    "\n",
+    "![](images/comparison.png)\n",
+    "\n",
+    "**Sequential data models.** (a) Graphical model for an RNN. Diamonds denote a deterministic representation, (b) Graphical model for an HMM: circles denote probabilistic states, (c) Graphical depiction of an attentive state space model. With a slight abuse of graphical model notation, thickness of arrows reflect attention weights. Because the attention mechanism can be made arbitrarily complex, our model can capture complex dynamics while maintaining its structural interpretability. The attention mechanism is implemented via a sequence-to-sequence RNN architecture."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Setting up the experiment "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "In what follows, we use a synthetic dataset to train an attentive state-space model and display the learned model parameters. Before we start, we need to import two libraries:\n",
+    "\n",
+    "- **data.make_data**: the file containing the synthetic data generation model.\n",
+    "- **models.SeqModels**: the file containing the attentive state-space model."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from data.make_data import generate_trajectory\n",
+    "from models.SeqModels import attentive_state_space_model as attentive_state_space\n",
+    "\n",
+    "import numpy as np"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We start by drawing random, variable-sized trajectories from the synthetic data model using the function **generate_trajectory** as follows"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "X_observations, true_states = generate_trajectory(num_states=3, \n",
+    "                                                  Num_observations=10, \n",
+    "                                                  Num_samples=5000, \n",
+    "                                                  Max_seq=30, \n",
+    "                                                  Min_seq=3, \n",
+    "                                                  alpha=100,\n",
+    "                                                  reverse_mode=False)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The synthetic data model uses hidden states to generate observations. The return variables **X_observations** and **true_states** correspond to the observable variables and the hidden state trajectories. Our model is given only the observable data, and should be able to learn the underlying state trajectory that generated the data. The synthetic data generation function takes the following 6 arguments:\n",
+    "\n",
+    "- **num_states:** The cardinality of the hidden state space.\n",
+    "- **Num_observations:** The number of observable variables (i.e., emissions, or features) that are associated with each state.\n",
+    "- **Num_samples:** The total number of state trajectories to simulate.\n",
+    "- **Max_seq, Min_seq:** The minimum and maximum number of obervations per trajectory. For each trajectory, the sequence length is drawn from a uniform distribution [Min_seq, Max_seq]\n",
+    "- **alpha:** This is a real number that determines the extent of \"memory\" in the state trajectory. The contribution of each state realized at time $t$ (for a sequence of length $T$) on the current state transition is proportion to $e^{-\\alpha (T-t)}$. Hence, the effect of alpha can be understood through the following extreme cases:\n",
+    "\n",
+    "    1. $\\alpha$ = $\\infty$: Then only the current state determines the next state. This corresponds to a Markov model where transitions are completely memorlyess. Here we set $\\alpha=100$ which makes it very close to a Markov chain.\n",
+    "    \n",
+    "    2. $\\alpha$ = $0$: In this case, all previous states are equally important, in which cases the model needs to attend to very old state realizations in order to predict future state transitions. \n",
+    "\n",
+    "\n",
+    "- **reverse_mode:** This is a boolean that determines whether the importance is higher for more recent or older state realizations. When it is set to *True*, the importance of previous states are set to $e^{-\\alpha (t-T)}$. In this case, setting $\\alpha$ = $\\infty$ makes the initial state the only factor that determines all state transitions, irrespective of any inetrmediate states.\n",
+    "\n",
+    "The observations are determined by state-dependent Gaussian distributions, the parameters of which can also be changed, but we will not need to change these during this Tutorial."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Visualizing the true data trajectories"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Both the variables **X_observations** and **true_states** are in the forms of lists, the size of which correspond to the number of trajectories that we simulated. Each list contains a variable-length sequence of observations and states. Let us see whatsequence of states is realized in the first trajectory:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "trajectory_index = 0\n",
+    "\n",
+    "true_states[trajectory_index]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Because we set the state-space to contain only three states, the true states can take on values in the set $\\{0,1,2\\}$. Now let us visualize the first trajectory by overlaying the hidden states and the observable variables in one plot."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from matplotlib import pyplot as plt\n",
+    "get_ipython().magic('matplotlib inline')\n",
+    "\n",
+    "fig, ax1 = plt.subplots()\n",
+    "\n",
+    "t = list(range(len(true_states[trajectory_index])))\n",
+    "\n",
+    "color = 'tab:red'\n",
+    "ax1.set_xlabel('Time step')\n",
+    "ax1.set_ylabel('Observations', color=color)\n",
+    "ax1.plot(t, X_observations[trajectory_index], color=color, linewidth=5, alpha=0.2)\n",
+    "ax1.tick_params(axis='y', labelcolor=color)\n",
+    "\n",
+    "ax2 = ax1.twinx()  \n",
+    "\n",
+    "color = 'tab:blue'\n",
+    "ax2.set_ylabel('Hidden states', color=color)  \n",
+    "ax2.step(t, true_states[trajectory_index], color=color, linewidth=5)\n",
+    "ax2.tick_params(axis='y', labelcolor=color)\n",
+    "ax2.set_yticks([0, 1, 2])\n",
+    "\n",
+    "fig.tight_layout()  \n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Here, the blue plot reflects the underlying hidden states that generates the observations, and as we can see, the states modulate the distribution of the observable variables (red). The attentive state-space model should be able to do the following:\n",
+    "\n",
+    "- Learn an underlying representation for the data in terms of a state space and emission distribution.\n",
+    "- Predict the state and observations trajectories.\n",
+    "- Uncover the memory dynamics underlying the state transitions.\n",
+    "- Generate synthetic samples that mimic those of the original data distribution."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Training attentive state-space models"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We first instantiate an attentive state space model object as follows:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "model = attentive_state_space(num_states=3,\n",
+    "                              maximum_seq_length=30, \n",
+    "                              input_dim=10, \n",
+    "                              rnn_type='LSTM',\n",
+    "                              latent=True,\n",
+    "                              generative=True,\n",
+    "                              num_iterations=50, \n",
+    "                              num_epochs=3, \n",
+    "                              batch_size=100, \n",
+    "                              learning_rate=5*1e-4, \n",
+    "                              num_rnn_hidden=100, \n",
+    "                              num_rnn_layers=1,\n",
+    "                              dropout_keep_prob=None,\n",
+    "                              num_out_hidden=100, \n",
+    "                              num_out_layers=1)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The attentive state-space model takes on the following arguments:\n",
+    "\n",
+    "- **num_states**: The number of states in the state space.\n",
+    "- **maximum_seq_length**: The maximum allowable length for any trajectory in the training data. \n",
+    "- **input_dim**: The number of observations/features in every time step.\n",
+    "- **rnn_type**: The type of RNN used in model and inference networks. Select from (LSTM, GRU, RNN)\n",
+    "- **latent, generative**: (Redundant) Whether state labels are provided, and whether the model is generative (can sample trajectories).\n",
+    "- **num_iterations, num_epochs, batch_size, learning_rate**: Variational inference learning parameters.\n",
+    "- **num_rnn_hidden, num_rnn_layers**: Number of hidden states/layers of all RNNs in the model.\n",
+    "- **dropout_keep_prob**: Whether dropout is used for regularization.\n",
+    "- **num_out_hidden, num_out_layers**: Number of hidden states/layers of output layers."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "To train the model, we provide a simple sklearn-like API where the model is fit by simply providing the list of observations to the fit method of the attentative state-space object as follows:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "model.fit(X_observations)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Now that the model is trained, we display the parameters of the representation it learned. The initial state and transition probabilities can be recovered by inspecting the attributes of **model** as follows:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "model.initial_probabilities"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The initial distribution exactly matches that of the synthetic model, which has an initial state distribution of [0.5, 0.3, 0.2]. The baseline state transition matrix of the attentive state-space models is given by:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "model.transition_matrix"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The emission distributions for all states are assumed to be Gaussian. The mean and covariance parameters of the three states can be recovered as follows:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "model.state_means.T "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "model.state_covars"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Predicting state trajectories via attentive state-space models"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "To use our model for prediction, we again provide an sklearn-like API where the model issues prediction by simply providing the list of observations to the predict method of the attentative state-space object as follows:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "state_inference, expected_observations, attention = model.predict([X_observations[0]])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The predict method retrieves three different variables: \n",
+    "\n",
+    "- **state_inference**: This is the posterior distribution over the \"future\" states given previous observations, i.e. $P(X_{t+1}| X_t,.\\,.\\,., X_0)$. For the returned vector, every element corresponds to a time step $t$, and the values is the distribution of the future states (for the next time step $t+1$). \n",
+    "- **expected_observations**: The expected values of the observation in the next time step $t+1$.\n",
+    "- **attention**: The attention weights assigned to all previous hidden states to issue the current prediction."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The maximum a posteriori (MAP) estimates of the inferred states can be obtained by picking the most likely state per time step as follows:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "np.argmax(state_inference[trajectory_index], axis=1)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "In what follows, we visually compare the MAP state estimates with the true states:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "fig, ax1 = plt.subplots()\n",
+    "\n",
+    "trajectory_index = 0\n",
+    "\n",
+    "t = list(range(len(true_states[trajectory_index])))\n",
+    "\n",
+    "color = 'tab:red'\n",
+    "ax1.set_xlabel('time (s)')\n",
+    "ax1.set_ylabel('MAP state estimate', color=color)\n",
+    "ax1.plot(t, np.argmax(state_inference[trajectory_index], axis=1), color=color, linewidth=5)\n",
+    "ax1.tick_params(axis='y', labelcolor=color)\n",
+    "ax1.set_yticks([0, 1, 2])\n",
+    "\n",
+    "ax2 = ax1.twinx()  \n",
+    "\n",
+    "color = 'tab:blue'\n",
+    "ax2.set_ylabel('True states', color=color)  \n",
+    "ax2.step(t, true_states[trajectory_index], color=color, linewidth=5)\n",
+    "ax2.tick_params(axis='y', labelcolor=color)\n",
+    "ax2.set_yticks([0, 1, 2])\n",
+    "\n",
+    "fig.tight_layout()  \n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We also visually compare the expected observation estimates with the true observations:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "fig, ax1 = plt.subplots()\n",
+    "\n",
+    "t = list(range(len(true_states[trajectory_index])))\n",
+    "\n",
+    "color = 'tab:red'\n",
+    "ax1.set_xlabel('Time step')\n",
+    "ax1.set_ylabel('True observations', color=color)\n",
+    "ax1.plot(t, X_observations[trajectory_index], color=color, linewidth=5, alpha=0.2)\n",
+    "ax1.tick_params(axis='y', labelcolor=color)\n",
+    "\n",
+    "ax2 = ax1.twinx()  \n",
+    "\n",
+    "color = 'tab:blue'\n",
+    "ax2.set_ylabel('Predicted average observations', color=color)  \n",
+    "ax2.plot(t, expected_observations[trajectory_index], color=color, linewidth=5, alpha=0.1)\n",
+    "ax2.tick_params(axis='y', labelcolor=color)\n",
+    "ax2.set_yticks([0, 1, 2])\n",
+    "\n",
+    "fig.tight_layout()  \n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Visualizing the attention weights over time"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Now, in what follows, we visualize the attention weights materializing at every time-step for the trajectory above. As we can see, because the true underlying model is Markovian, we can see that the biggest attention weight is almost always placed on the most recent time-step."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import seaborn as sns\n",
+    "\n",
+    "Attention_weights = []\n",
+    "\n",
+    "for w in range(len(attention[0])):\n",
+    "    \n",
+    "    Attention_weights.append(np.vstack((attention[0][w], np.zeros((len(attention[0][-1]) - len(attention[0][w]),1)))))\n",
+    "\n",
+    "\n",
+    "Attention_weights = np.array(Attention_weights).reshape((len(attention[0][-1]), len(attention[0][-1])))[:state_inference[0].shape[0], :state_inference[0].shape[0]]\n",
+    "\n",
+    "mask = np.zeros_like(Attention_weights)\n",
+    "\n",
+    "mask[np.triu_indices_from(mask)] = True\n",
+    "\n",
+    "with sns.axes_style(\"white\"):\n",
+    "    ax = sns.heatmap(Attention_weights, mask=mask, vmax=.3, square=True)\n",
+    "    ax.set_ylabel('Chronological time')\n",
+    "    ax.set_xlabel('Previous time steps')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Sampling from the (generative) attentive state-space model"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Because our model is generative, we can also sample new (synthetic) trajectories from the model. This means that our model can be used for generating synthetic data. To sample from the trained model, we can use the **sample** API as follows:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "sampled_states, sampled_obervations  = model.sample(trajectory_length=5)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "In the above, the **trajectory_length** parameter decides the number of states materializing in the sampled sequence. In what follows, we visualize the sampled states and observations."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from matplotlib import pyplot as plt\n",
+    "get_ipython().magic('matplotlib inline')\n",
+    "\n",
+    "fig, ax1 = plt.subplots()\n",
+    "\n",
+    "t = list(range(len(sampled_states)))\n",
+    "\n",
+    "color = 'tab:red'\n",
+    "ax1.set_xlabel('Time step')\n",
+    "ax1.set_ylabel('Sampled observations', color=color)\n",
+    "ax1.plot(t, sampled_obervations[0], color=color, linewidth=5, alpha=0.2)\n",
+    "ax1.tick_params(axis='y', labelcolor=color)\n",
+    "\n",
+    "ax2 = ax1.twinx()  \n",
+    "\n",
+    "color = 'tab:blue'\n",
+    "ax2.set_ylabel('Sampled hidden states', color=color)  \n",
+    "ax2.step(t, sampled_states, color=color, linewidth=5)\n",
+    "ax2.tick_params(axis='y', labelcolor=color)\n",
+    "ax2.set_yticks([0, 1, 2])\n",
+    "\n",
+    "fig.tight_layout()  \n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## What is the effect of memory on the attention mechanism?"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Now we look at a different synthetic datasets where we use the reverse mode of the generative synthetic model to assign bigger importance weight on older states. We take an extreme case where the initial states controls all state transitions along the trajectory (see the earlier explanation for the synthetic data.)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "X_observations_new, true_states_new = generate_trajectory(num_states=3, \n",
+    "                                                          Num_observations=10, \n",
+    "                                                          Num_samples=5000, \n",
+    "                                                          Max_seq=30, \n",
+    "                                                          Min_seq=3, \n",
+    "                                                          alpha=100,\n",
+    "                                                          reverse_mode=True)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We then fit a new model on this new dataset..."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "model_new = attentive_state_space(num_states=3,\n",
+    "                                  maximum_seq_length=30, \n",
+    "                                  input_dim=10, \n",
+    "                                  rnn_type='LSTM',\n",
+    "                                  latent=True,\n",
+    "                                  generative=True,\n",
+    "                                  num_iterations=50, \n",
+    "                                  num_epochs=3, \n",
+    "                                  batch_size=100, \n",
+    "                                  learning_rate=5*1e-4, \n",
+    "                                  num_rnn_hidden=100, \n",
+    "                                  num_rnn_layers=1,\n",
+    "                                  dropout_keep_prob=None,\n",
+    "                                  num_out_hidden=100, \n",
+    "                                  num_out_layers=1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "model_new.fit(X_observations_new)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "state_inference_new, expected_observations_new, attention_new = model_new.predict([X_observations_new[0]])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Now let us visualize the attention weights materializing over time for the new model..."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import seaborn as sns\n",
+    "\n",
+    "Attention_weights = []\n",
+    "\n",
+    "for w in range(len(attention_new[0])):\n",
+    "    \n",
+    "    Attention_weights.append(np.vstack((attention_new[0][w], np.zeros((len(attention_new[0][-1]) - len(attention_new[0][w]),1)))))\n",
+    "\n",
+    "\n",
+    "Attention_weights = np.array(Attention_weights).reshape((len(attention_new[0][-1]), len(attention_new[0][-1])))[:state_inference[0].shape[0], :state_inference[0].shape[0]]\n",
+    "\n",
+    "mask = np.zeros_like(Attention_weights)\n",
+    "\n",
+    "mask[np.triu_indices_from(mask)] = True\n",
+    "\n",
+    "with sns.axes_style(\"white\"):\n",
+    "    ax = sns.heatmap(Attention_weights, mask=mask, vmax=.3, square=True)\n",
+    "    ax.set_ylabel('Chronological time')\n",
+    "    ax.set_xlabel('Previous time steps')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "As we can see, unlike in the previous case, here we have most of the attention weights assigned to the older states! Thus, our attentive state-space model learned the underlying state dynamics in an unsupervised fashion on the basis of the observed data."
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/alg/attentivess/data/make_data.py b/alg/attentivess/data/make_data.py
new file mode 100644
index 00000000..610d3d75
--- /dev/null
+++ b/alg/attentivess/data/make_data.py
@@ -0,0 +1,111 @@
+
+# Copyright (c) 2019, Ahmed M. Alaa
+# Licensed under the BSD 3-clause license (see LICENSE.txt)
+
+
+from __future__ import absolute_import, division, print_function
+
+import collections
+import hashlib
+import numbers
+import itertools
+import functools
+import sets
+import inspect
+import pickle
+
+from sklearn.model_selection import *
+from sklearn.metrics import *
+
+import tensorflow as tf
+from tensorflow.contrib.rnn import PhasedLSTMCell, MultiRNNCell, BasicRNNCell
+from tensorflow.python.ops import rnn_cell, rnn
+from tensorflow.python.eager import context
+from tensorflow.python.framework import constant_op, dtypes, ops, tensor_shape, tensor_util   
+from tensorflow.python.layers import base as base_layer
+from tensorflow.python.ops import * 
+from tensorflow.python.platform import tf_logging as logging
+from tensorflow.python.training import checkpointable
+from tensorflow.python.util import nest
+from tensorflow.python.util.tf_export import tf_export
+
+import pandas as pd
+import numpy as np
+from sklearn.mixture import GaussianMixture
+
+from matplotlib import pyplot as plt
+get_ipython().magic('matplotlib inline')
+
+import warnings
+warnings.filterwarnings("ignore")
+
+import os
+from pathlib import Path
+import shutil
+
+
+def get_attention_weights(seqlength, alpha, reverse_mode):
+
+    init_weights = np.exp(-alpha * np.array(range(seqlength)))
+
+    if reverse_mode:
+
+        weights_ = init_weights / np.sum(init_weights)
+
+    else:
+
+        weights_ = np.flip(init_weights / np.sum(init_weights))
+        
+    return weights_ 
+
+
+def generate_trajectory(num_states=3, 
+                        Num_observations=10, 
+                        Num_samples=1000, 
+                        Max_seq=20, 
+                        Min_seq=3,
+                        alpha=1,
+                        reverse_mode=False,
+                        P_trans = np.array([[0.9, 0.1, 0.06], 
+                                            [0.6, 0.1, 0.3], 
+                                            [0.1, 0.8, 0.1]]),
+                        P_0=[0.5, 0.3, 0.2],
+                        mu_=[-10, 5, 10],
+                        var_=[0.5, 1, 1.5]):
+    
+    X_  = []
+    S_  = []
+    a_  = []
+    
+    for k in range(Num_samples):
+    
+        seq_len = np.random.randint(Min_seq, Max_seq)
+        S_new   = []
+        a_new   = []
+        X_new   = []
+    
+        for u in range(seq_len):
+        
+            if u == 0:
+            
+                S_new.append(np.random.choice(num_states, 1, p=P_0)[0])
+            
+            else:
+            
+                weights_    = get_attention_weights(u + 1, alpha, reverse_mode)            
+                P_trans_new = np.sum(np.array([P_trans[S_new[m], :] * weights_[m] for m in range(len(S_new))]), axis=0)
+                P_trans_new = P_trans_new/np.sum(P_trans_new)
+            
+                S_new.append(np.random.choice(num_states, 1, p=P_trans_new)[0])
+                a_new.append(weights_)
+            
+            X_new.append((mu_[S_new[-1]] + var_[S_new[-1]] * np.random.normal(0, 1, (1, Num_observations))).reshape(-1,))
+            
+    
+        S_.append(S_new)
+        a_.append(a_new)
+        X_.append(np.array(X_new))
+     
+    return X_, S_       
+
+
diff --git a/alg/attentivess/images/comparison.png b/alg/attentivess/images/comparison.png
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diff --git a/alg/attentivess/models/SeqModels.py b/alg/attentivess/models/SeqModels.py
new file mode 100644
index 00000000..d90e8273
--- /dev/null
+++ b/alg/attentivess/models/SeqModels.py
@@ -0,0 +1,1615 @@
+
+# Copyright (c) 2019, Ahmed M. Alaa
+# Licensed under the BSD 3-clause license (see LICENSE.txt)
+
+
+from __future__ import absolute_import, division, print_function
+
+import collections
+import hashlib
+import numbers
+import itertools
+import functools
+import sets
+import inspect
+import pickle
+
+from sklearn.model_selection import *
+from sklearn.metrics import *
+
+import os
+from pathlib import Path
+import shutil
+
+os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3' 
+
+import tensorflow as tf
+from tensorflow.contrib.rnn import PhasedLSTMCell, MultiRNNCell, BasicRNNCell
+from tensorflow.python.ops import rnn_cell, rnn
+from tensorflow.python.eager import context
+from tensorflow.python.framework import constant_op, dtypes, ops, tensor_shape, tensor_util   
+from tensorflow.python.layers import base as base_layer
+from tensorflow.python.ops import * 
+from tensorflow.python.platform import tf_logging as logging
+from tensorflow.python.training import checkpointable
+from tensorflow.python.util import nest
+from tensorflow.python.util.tf_export import tf_export
+
+import pandas as pd
+import numpy as np
+from sklearn.mixture import GaussianMixture
+
+import warnings
+warnings.filterwarnings("ignore")
+
+from sklearn.preprocessing import StandardScaler, MinMaxScaler
+from scipy.stats import multivariate_normal
+from hmmlearn import hmm
+
+
+class HMM:
+    
+    def __init__(self, num_states):
+        
+        self.num_states = num_states
+        self.hmm_model  = hmm.GaussianHMM(n_components=num_states)
+        
+        
+    def fit(self, X_obs):
+        
+        X_obser = [[list(X_obs[u][k,:]) for k in range(len(X_obs[u]))] for u in range(len(X_obs))]
+        X_obs_  = np.concatenate(X_obser)
+
+        lengths = [len(X_obs[k]) for k in range(len(X_obs))]
+        
+        self.hmm_model.fit(X_obs_, lengths)
+        
+        
+    def predict(self, X_new):
+        
+        preds       = np.concatenate([self.hmm_model.predict(X_new[k]) for k in range(len(X_new))])
+        predictions = [np.sum(np.concatenate([(self.hmm_model.transmat_[preds[k],u] * self.hmm_model.means_[u]).reshape((1,-1)) for u in range(self.num_states)]), axis=0).reshape((1,-1)) for k in range(len(preds))] 
+        
+        return np.concatenate(predictions)
+        
+
+
+@tf_export("nn.rnn_cell.MultiRNNCell")
+class MultiPhasedLSTMCell(MultiRNNCell):
+    
+    """RNN cell composed sequentially of multiple simple cells.
+
+    Example:
+
+    ```python
+    num_units = [128, 64]
+    cells = [BasicLSTMCell(num_units=n) for n in num_units]
+    stacked_rnn_cell = MultiRNNCell(cells)
+    ```
+    """
+
+    def __init__(self, cells, state_is_tuple=True):
+        
+        """Create a RNN cell composed sequentially of a number of RNNCells.
+
+        Args:
+          cells: list of RNNCells that will be composed in this order.
+          state_is_tuple: If True, accepted and returned states are n-tuples, where
+            `n = len(cells)`.  If False, the states are all
+            concatenated along the column axis.  This latter behavior will soon be
+            deprecated.
+
+        Raises:
+          ValueError: if cells is empty (not allowed), or at least one of the cells
+            returns a state tuple but the flag `state_is_tuple` is `False`.
+        """
+        super(MultiRNNCell, self).__init__()
+        
+        if not cells:
+            raise ValueError("Must specify at least one cell for MultiRNNCell.")
+        if not nest.is_sequence(cells):
+            raise TypeError("cells must be a list or tuple, but saw: %s." % cells)
+
+        self._cells = cells
+        for cell_number, cell in enumerate(self._cells):
+        
+            # Add Checkpointable dependencies on these cells so their variables get
+            # saved with this object when using object-based saving.
+            if isinstance(cell, checkpointable.CheckpointableBase):
+                # TODO(allenl): Track down non-Checkpointable callers.
+                self._track_checkpointable(cell, name="cell-%d" % (cell_number,))
+                self._state_is_tuple = state_is_tuple
+            
+            if not state_is_tuple:
+                if any(nest.is_sequence(c.state_size) for c in self._cells):
+                    raise ValueError("Some cells return tuples of states, but the flag "
+                                     "state_is_tuple is not set.  State sizes are: %s"
+                                     % str([c.state_size for c in self._cells]))
+
+    @property
+    def state_size(self):
+        if self._state_is_tuple:
+            return tuple(cell.state_size for cell in self._cells)
+        else:
+            return sum([cell.state_size for cell in self._cells])
+
+    @property
+    def output_size(self):
+        return self._cells[-1].output_size
+
+    def zero_state(self, batch_size, dtype):
+        with ops.name_scope(type(self).__name__ + "ZeroState", values=[batch_size]):
+            if self._state_is_tuple:
+                return tuple(cell.zero_state(batch_size, dtype) for cell in self._cells)
+            else:
+                # We know here that state_size of each cell is not a tuple and
+                # presumably does not contain TensorArrays or anything else fancy
+                return super(MultiRNNCell, self).zero_state(batch_size, dtype)
+
+    def call(self, inputs, state):
+        """Run this multi-layer cell on inputs, starting from state."""
+        cur_state_pos = 0
+
+        times         = inputs[0]
+        cur_inp       = inputs[1]
+        
+        new_states    = []
+    
+        for i, cell in enumerate(self._cells):
+            with vs.variable_scope("cell_%d" % i):
+                if self._state_is_tuple:
+                    if not nest.is_sequence(state):
+                        raise ValueError("Expected state to be a tuple of length %d, but received: %s" %(len(self.state_size), state))
+                    cur_state = state[i]
+                else:
+                    cur_state = array_ops.slice(state, [0, cur_state_pos],
+                                      [-1, cell.state_size])
+                    cur_state_pos += cell.state_size
+                
+                cur_inp, new_state = cell((times, cur_inp), cur_state)
+                new_states.append(new_state)
+
+        new_states = (tuple(new_states) if self._state_is_tuple else array_ops.concat(new_states, 1))
+
+        return cur_inp, new_states
+
+
+
+
+def lazy_property(function):
+    attribute = '_' + function.__name__
+
+    @property
+    @functools.wraps(function)
+    def wrapper(self):
+        if not hasattr(self, attribute):
+            setattr(self, attribute, function(self))
+        return getattr(self, attribute)
+    return wrapper
+
+
+def padd_data(X, padd_length):
+    
+    X_padded      = []
+    
+    for k in range(len(X)):
+        
+        if X[k].shape[0] < padd_length:
+            
+            if len(X[k].shape) > 1:
+                X_padded.append(np.array(np.vstack((np.array(X[k]), 
+                                                    np.zeros((padd_length-X[k].shape[0],X[k].shape[1]))))))
+            else:
+                X_padded.append(np.array(np.vstack((np.array(X[k]).reshape((-1,1)),
+                                                    np.zeros((padd_length-X[k].shape[0],1))))))
+                
+        else:
+            
+            if len(X[k].shape) > 1:
+                X_padded.append(np.array(X[k]))
+            else:
+                X_padded.append(np.array(X[k]).reshape((-1,1)))
+  
+
+    X_padded      = np.array(X_padded)
+
+    return X_padded
+
+
+def flatten_sequences_to_numpy(sequence_list):
+    
+    seqLists   = [list(itertools.chain.from_iterable(sequence_list[k].tolist())) for k in range(len(sequence_list))]
+    flat_seqs  = np.array(list(itertools.chain.from_iterable(seqLists)))
+    
+    return flat_seqs
+
+
+def state_to_array(state_index, number_of_states):
+    
+    state_array = np.zeros(number_of_states)
+    state_array[state_index] = 1
+    
+    return state_array
+    
+    
+
+def get_transitions(state_array, num_states):
+    
+    trans_matrix = np.zeros((num_states, num_states))
+    each_state   = [np.sum((state_array==k)*1) for k in range(num_states)]
+    
+    for k in range(num_states):
+        
+        where_states       = np.where(state_array==k)[0]
+        where_states_      = where_states[where_states < len(state_array) - 1]
+        
+        after_states       = [state_array[where_states_[k] + 1] for k in range(len(where_states_))]
+        trans_matrix[k, :] = np.array([(np.where(np.array(after_states)==k))[0].shape[0] for k in range(num_states)])
+        
+    return trans_matrix, each_state
+
+
+class attentive_state_space_model:
+    
+    '''
+    Class for the "Attentive state space model" implementation. Based on the paper: 
+    "Attentive state space model for disease progression" by Ahmed M. Alaa and Mihaela van der Schaar.
+    
+    ** Key arguments **
+    
+    :param maximum_seq_length: Maximum allowable length for any trajectory in the training data. 
+    :param input_dim: Dimensionality of the observations (emissions).
+    :param num_states: Cardinality of the state space.
+    :param inference_network: Configuration of the inference network. Default is: 'Seq2SeqAttention'.
+    :param rnn_type: Type of RNN cells to use in the inference network. Default is 'LSTM'.
+    :param unsupervised: Boolean for whether the model is supervised or unsupervised. Default is True. 
+                         Supervised is NOT IMPLEMENTED.
+    :param generative: Boolean for whether to enable sampling from the model. 
+    :param irregular: Whether the trajectories are in continuous time. NOT IMPLEMENTED.
+    :param multitask: Boolean for whether multi-task output layers are used in inference network. NOT IMPLEMENTED
+    :param num_iterations: Number of iterations for the stochastic variational inference algorithm.
+    :param num_epochs: Number of epochs for the stochastic variational inference algorithm.
+    :param batch_size: Size of the batch subsampled from the training data.
+    :param learning_rate: Learning rate for the ADAM optimizer. (TO DO: enable selection of the optimizer)
+    :param num_rnn_hidden: Size of the RNN layers used in the inference network.
+    :param num_rnn_layers: Number of RNN layers used in the inference network.
+    :param dropout_keep_prob: Dropout probability. Default is None.
+    :param num_out_hidden: Size of output layer in inference network.
+    :param num_out_layers: Size of output layer in inference network.
+
+    ** Key attributes **
+    
+    After fitting the model, the key model parameters are stored in the following attributes:
+    
+    :attr states_mean: Mean of each observation in each of the num_states states.
+    :attr states_covars: Covariance matrices of observations.
+    :attr transition_matrix: Baseline Markov transition matrix for the attentive state space.
+    :attr intial probabilities: Initial distribution of states averaged accross all trajectories in training data.
+    
+    ** Key methods **
+    
+    Three key methods are implemented in the API:
+    
+    :method fit: Takes a list of observations and fits an attentive state space model in an unsupervised fashion.
+    :method predict: Takes a new observation and returns three variables:
+                     - Prediction of the next state at every time step.
+                     - Expected observation at the next time tep.
+                     - List of attention weights assigned to previous states at every time step.
+    :method sample: This method samples synthetic trajectories from the model.
+
+    '''
+    
+    def __init__(self, 
+                 maximum_seq_length, 
+                 input_dim, 
+                 num_states=3,
+                 inference_network='Seq2SeqAttention', 
+                 rnn_type='LSTM',
+                 unsupervised=True,
+                 generative=True,
+                 irregular=False,
+                 multitask=False,
+                 input_name="Input", 
+                 output_name="Output",
+                 model_name="SeqModel",
+                 num_iterations=50, 
+                 num_epochs=10, 
+                 batch_size=100, 
+                 learning_rate=5*1e-4, 
+                 num_rnn_hidden=100, 
+                 num_rnn_layers=1,
+                 dropout_keep_prob=None,
+                 num_out_hidden=100, 
+                 num_out_layers=1,
+                 verbosity=True,
+                 **kwargs
+                ):
+        
+        # Set all model variables
+
+        self.maximum_seq_length = maximum_seq_length 
+        self.input_dim          = input_dim
+        self.num_states         = num_states
+        self.inference_network  = inference_network
+        self.rnn_type           = rnn_type
+        self.unsupervised       = unsupervised
+        self.generative         = generative
+        self.irregular          = irregular
+        self.multitask          = multitask
+        self.input_name         = input_name 
+        self.output_name        = output_name 
+        self.model_name         = model_name
+        self.num_iterations     = num_iterations
+        self.num_epochs         = num_epochs
+        self.batch_size         = batch_size
+        self.learning_rate      = learning_rate
+        self.num_rnn_hidden     = num_rnn_hidden
+        self.num_rnn_layers     = num_rnn_layers
+        self.dropout_keep_prob  = dropout_keep_prob
+        self.num_out_hidden     = num_out_hidden
+        self.num_out_layers     = num_out_layers
+        self.verbosity          = verbosity
+        
+        
+        self.build_attentive_inference_network()
+        
+        tf.reset_default_graph()
+        
+        self.build_attentive_inference_graph()
+        
+        
+    
+    def build_attentive_inference_network(self):
+        
+        # replace this with dictionary style indexing
+        
+        model_options_names     = ['RNN','LSTM','GRU','PhasedLSTM']
+        
+        optimizer_options_names = []
+        
+        
+        model_options   = [BasicRNNCell(self.num_rnn_hidden), 
+                           rnn_cell.LSTMCell(self.num_rnn_hidden), 
+                           rnn_cell.GRUCell(self.num_rnn_hidden), 
+                           PhasedLSTMCell(self.num_rnn_hidden)]
+        
+        self._rnn_model = model_options[np.where(np.array(model_options_names)==self.rnn_type)[0][0]]
+        
+        if self.dropout_keep_prob is not None:
+            
+            self._rnn_model = tf.nn.rnn_cell.DropoutWrapper(self._rnn_model, output_keep_prob=self.dropout_keep_prob)
+        
+        self._Losses = []
+        
+
+    def build_attentive_inference_graph(self):
+        
+        self.observation = tf.placeholder(tf.float32, 
+                                     [None, self.maximum_seq_length, self.input_dim], 
+                                     name=self.input_name)
+            
+        self.state_guess = tf.placeholder(tf.float32, 
+                                     [None, self.maximum_seq_length, self.num_states]) 
+        
+        if self.irregular:
+            
+            self.times      = tf.placeholder(tf.float32, [None, self.maximum_seq_length, 1])
+            self.rnn_input  = (self.times, self.observation)
+        
+        else:
+            
+            self.rnn_input  = self.observation
+
+            
+    @lazy_property
+    def length(self):
+        
+        used   = tf.sign(tf.reduce_max(tf.abs(self.observation), reduction_indices=2))
+        length = tf.reduce_sum(used, reduction_indices=1)
+        length = tf.cast(length, tf.int32)
+        
+        return length
+
+    @lazy_property
+    def forward(self):
+        
+        self.attentive_inference_network_inputs()
+        
+        # Recurrent network.   
+        if self.inference_network != 'Seq2SeqAttention': 
+            
+            rnn_output, _  = rnn.dynamic_rnn(self._rnn_model, 
+                                             self.rnn_input_, 
+                                             dtype=tf.float32, 
+                                             sequence_length=self.length_,)
+        else:
+            
+            try:
+                
+                tf.nn.seq2seq = tf.contrib.legacy_seq2seq
+                tf.nn.rnn_cell = tf.contrib.rnn
+                tf.nn.rnn_cell.GRUCell = tf.contrib.rnn.GRUCell
+
+                if self.verbosity:
+                    
+                    print("TensorFlow version : >= 1.0")
+            
+            except: 
+            
+                print("TensorFlow version : 0.12")
+            
+            if self.verbosity:
+                
+                print("---------------------------")
+            
+            self.enc_inp    = [self.rnn_input_[:, t, :] for t in range(self.maximum_seq_length)]
+
+            self.dec_output = [tf.placeholder(tf.float32, shape=(None, 1), 
+                                              name="dec_output_".format(t)) for t in range(self.maximum_seq_length)]
+
+            self.dec_inp    = [tf.zeros_like(self.enc_inp[0], dtype=np.float32, name="GO")] + self.enc_inp[:-1] 
+
+            self.cells = []
+    
+            for i in range(self.num_rnn_layers):
+                
+                with tf.variable_scope('RNN_{}'.format(i)):
+                    
+                    self.cells.append(tf.nn.rnn_cell.LSTMCell(self.num_rnn_hidden))
+            
+            
+            self.cell  = tf.nn.rnn_cell.MultiRNNCell(self.cells)
+            self.dec_outputs, self.dec_memory = tf.nn.seq2seq.basic_rnn_seq2seq(self.enc_inp, self.dec_inp, self.cell) 
+            
+            self.weight_dec, self.bias_dec = self._weight_and_bias(self.num_rnn_hidden, 1, ["w_dec", "b_dec"])
+            
+            self.seq2seq_attn = [(tf.matmul(i, self.weight_dec) + self.bias_dec) for i in self.dec_outputs]
+            self.seq2seq_attn = tf.nn.softmax(tf.reshape(tf.stack(self.seq2seq_attn), 
+                                                         [-1, self.maximum_seq_length, 1]), axis=1)
+            
+        
+        # Softmax layer.
+        self.combiner_func_weight, self.combiner_func_bias = self._weight_and_bias(self.input_dim, 
+                                                                                   self.num_out_hidden, 
+                                                                                   ["w_0", "b_0"])
+        
+        self.weight, self.bias     = self._weight_and_bias(self.num_out_hidden, 
+                                                           self.num_states, 
+                                                           ["w", "b"])
+            
+        # Flatten to apply same weights to all time steps.
+        
+        if self.inference_network not in ['RETAIN', 'Seq2SeqAttention']: 
+            
+            rnn_output  = tf.reshape(rnn_output, [-1, self.num_out_hidden])
+            
+            forward     = tf.nn.softmax(tf.matmul(rnn_output, self.weight) + self.bias)
+        
+        elif self.inference_network == 'RETAIN':
+            
+            self.weight_a, self.bias_a = self._weight_and_bias(self.num_out_hidden, 1, ["w_a", "b_a"])
+            
+            rnn_output      = tf.reshape(rnn_output, [-1, self.num_out_hidden])
+            
+            self.attention  = tf.nn.softmax(tf.reshape(tf.matmul(rnn_output, self.weight_a) + self.bias_a, 
+                                                       [-1, self.maximum_seq_length, 1]), axis=1)
+            
+
+            attn_mask       = tf.expand_dims(tf.sign(tf.reduce_max(tf.abs(self.rnn_input_), reduction_indices=2)), axis=2)
+            masked_attn     = tf.multiply(attn_mask, self.attention)
+            attn_norms      = tf.expand_dims(tf.tile(tf.reduce_sum(masked_attn, axis=1), [1, self.maximum_seq_length]), axis=2)
+            self.attention  = masked_attn/attn_norms
+            self.attention_ = tf.tile(self.attention, [1, 1, self.input_dim])
+            self.context    = tf.reduce_sum(tf.multiply(self.attention_, self.rnn_input_), reduction_indices=1)
+            
+            context_layer   = tf.matmul(self.context, self.combiner_func_weight ) + self.combiner_func_bias
+            forward         = tf.nn.softmax(tf.matmul(context_layer, self.weight) + self.bias)
+        
+        elif self.inference_network == 'Seq2SeqAttention':
+            
+            self.attention  = self.seq2seq_attn
+            
+            attn_mask       = tf.expand_dims(tf.sign(tf.reduce_max(tf.abs(self.rnn_input_), reduction_indices=2)), axis=2)            
+            masked_attn     = tf.multiply(attn_mask, self.attention)
+            attn_norms      = tf.expand_dims(tf.tile(tf.reduce_sum(masked_attn, axis=1), [1, self.maximum_seq_length]), axis=2)
+            self.attention  = masked_attn/attn_norms
+            self.attention_ = tf.tile(self.attention, [1, 1, self.input_dim])
+            self.context    = tf.reduce_sum(tf.multiply(self.attention_, self.rnn_input_), reduction_indices=1)
+            context_layer   = tf.matmul(self.context, self.combiner_func_weight ) + self.combiner_func_bias
+            forward         = tf.nn.softmax(tf.matmul(context_layer, self.weight) + self.bias)
+
+        forward         = tf.reshape(forward, [-1, self.maximum_seq_length, self.num_states])
+        
+        self.predicted  = forward
+        self.predicted  = tf.identity(self.predicted, name=self.output_name)
+        
+        return forward
+
+    
+    def attentive_inference_network_inputs(self):
+        
+        if self.inference_network in ['RETAIN', 'Seq2SeqAttention']: 
+            
+            self.num_samples = tf.shape(self.observation)[0] 
+             
+            Lengths_         = np.repeat(self.length, self.maximum_seq_length)
+            
+            conv_data        = tf.reshape(tf.tile(self.observation, [1, self.maximum_seq_length, 1]), 
+                                          [self.maximum_seq_length * self.num_samples, 
+                                           self.maximum_seq_length, self.input_dim])
+            
+            conv_mask_       = tf.ones([self.maximum_seq_length, self.maximum_seq_length], tf.float32)
+            
+            conv_mask        = tf.tile(tf.expand_dims(tf.tile(tf.matrix_band_part(conv_mask_, -1, 0), 
+                                                              [self.num_samples, 1]), 2), 
+                                                              [1, 1, self.input_dim])
+            
+            masked_data   = tf.multiply(conv_data, conv_mask)
+            
+            Seq_lengths_  = tf.tile(tf.range(1, self.maximum_seq_length + 1, 1), [self.num_samples])
+            
+            if self.inference_network == 'RETAIN':
+            
+                self.rnn_input_  = tf.reverse_sequence(masked_data, batch_axis=0, seq_dim=1, 
+                                                       seq_lengths=Seq_lengths_, seq_axis=None)
+            else:
+                
+                self.rnn_input_  = masked_data
+                
+            
+            used         = tf.sign(tf.reduce_max(tf.abs(self.rnn_input_), reduction_indices=2))
+            length       = tf.reduce_sum(used, reduction_indices=1)
+            self.length_ = tf.cast(length, tf.int32)
+
+            
+        else:    
+            
+            self.rnn_input_ = self.rnn_input
+            self.length_    = self.length
+
+            
+    @lazy_property
+    def ELBO(self):
+
+        mask                = tf.sign(tf.reduce_max(tf.abs(self.observation), reduction_indices=2))
+        flat_mask           = tf.reshape(mask, [-1,1])
+        
+        flat_state_guess    = tf.reshape(self.state_guess, [-1, self.num_states])      
+        flat_forward        = tf.reshape(self.forward, [-1, self.num_states])
+
+        likelihood_loss     = tf.reduce_sum(-1*(flat_state_guess * tf.log(flat_forward)))
+        
+        self.mask           = mask
+        
+        # Average over actual sequence lengths. << Did I forget masking padded ELBOs? >>
+        likelihood_loss     /= tf.reduce_sum(tf.cast(self.length, tf.float32),reduction_indices=0)
+        
+        return likelihood_loss        
+            
+        
+    def initialize_hidden_states(self, X):
+        
+        self.init_states = GaussianMixture(n_components=self.num_states, 
+                                           covariance_type='full')
+        
+        self.init_states.fit(np.concatenate(X).reshape((-1, self.input_dim))) 
+        
+        
+    def get_likelihood(self, X, pred):
+        
+        likelihoods_ = []
+        
+        #for u in range(X.shape[0]):
+    
+            #likel_ = np.log(np.array([multivariate_normal.pdf(X[u,:], self.state_means[k], self.state_covars[k])*pred[u,k] for k in range(self.num_states)]))
+        #    likel_ = np.array([multivariate_normal.logpdf(X[u,:], self.state_means[k], self.state_covars[k])*pred[u,k] for k in range(self.num_states)])
+        
+        #likel_ = [np.array([multivariate_normal.logpdf(X[u,:], self.state_means[k], self.state_covars[k])*pred[u,k] for k in range(self.num_states)]) for u in range(X.shape[0])]
+        #likelihoods_  = np.array(likel_)
+        
+        #Faster vectorized implementation
+ 
+        XX    = X.reshape((-1, self.input_dim))
+        
+        lks_  = np.array([multivariate_normal.logpdf(XX, self.state_means[k], self.state_covars[k]).reshape((-1,1))*pred[:,k].reshape((-1,1)) for k in range(self.num_states)])
+
+        likelihoods_  = lks_
+        
+        return np.mean(likelihoods_[np.isfinite(likelihoods_)])
+    
+    
+    def sample_posterior_states(self, q_posterior):
+        
+        sampled_list = [state_to_array(np.random.choice(self.num_states, 1, p=q_posterior[k,:])[0], self.num_states) for k in range(q_posterior.shape[0])]
+        self.state_trajectories = np.array(sampled_list)
+    
+    def fit(self, X, T=None):
+        
+        self.state_trajectories_ = []
+        
+        self.initialize_hidden_states(X)
+
+        state_inferences_init  = [np.argmax(self.init_states.predict_proba(X[k]), axis=1) for k in range(len(X))]
+        self.all_states        = state_inferences_init
+
+        for v in range(len(state_inferences_init)):
+            
+            state_list = [state_to_array(state_inferences_init[v][k], self.num_states) for k in range(len(state_inferences_init[v]))]
+            delayed_traject = np.vstack((np.array(state_list)[1:, :], np.array(state_list)[-1, :]))
+            
+            self.state_trajectories_.append(delayed_traject)
+            
+            
+        self.normalizer   = StandardScaler()
+        self.normalizer.fit(np.concatenate(X))
+
+        self.X_normalized  = []
+
+        for k in range(len(X)):
+            
+            self.X_normalized.append(self.normalizer.transform(X[k])) 
+    
+
+        self.stochastic_variational_inference(self.X_normalized)
+
+        
+    def stochastic_variational_inference(self, X, T=None):
+        
+        X_, state_update = padd_data(X, self.maximum_seq_length), padd_data(self.state_trajectories_, self.maximum_seq_length)
+        
+        if T is not None:
+            T_   = padd_data(T, self.maximum_seq_length)
+            
+            
+        # Baseline transition matrix
+
+        initial_states = np.array([self.all_states[k][0] for k in range(len(self.all_states))])
+        init_probs     = [np.where(initial_states==k)[0].shape[0] / len(initial_states) for k in range(self.num_states)]
+
+        transits   = np.zeros((self.num_states, self.num_states))
+        each_state = np.zeros(self.num_states)
+
+        for _ in range(len(self.all_states)):
+    
+            new_trans, new_each_state = get_transitions(self.all_states[_], self.num_states)
+    
+            transits   += new_trans
+            each_state += new_each_state
+    
+        for _ in range(self.num_states):
+    
+            transits[_, :] = transits[_, :] / each_state[_]
+            transits[_, :] = transits[_, :] / np.sum(transits[_, :])
+    
+        self.initial_probabilities = np.array(init_probs)
+        self.transition_matrix     = np.array(transits)
+        
+        # -----------------------------------------------------------
+        # Observational distribution
+        # -----------------------------------------------------------
+        
+        self.state_means  = self.init_states.means_
+        self.state_covars = self.init_states.covariances_    
+        
+        
+        sess = tf.InteractiveSession()
+        
+        opt      = tf.train.AdamOptimizer(learning_rate=self.learning_rate).minimize(self.ELBO)
+        init     = tf.global_variables_initializer()
+        
+        sess.run(init)
+
+        saver = tf.train.Saver()
+        
+        for epoch in range(self.num_epochs):
+                
+            for _ in range(self.num_iterations):
+                
+                batch_samples = np.random.choice(list(range(X_.shape[0])), size=self.batch_size, replace=False)
+                batch_train   = X_[batch_samples,:,:]
+                batch_states  = state_update[batch_samples,:,:]
+                
+                train_dict    = {self.observation : batch_train,
+                                 self.state_guess : batch_states}
+                
+                batch_preds   = sess.run(self.forward, feed_dict=train_dict)
+                
+                # sample and update posterior states
+                self.sample_posterior_states(batch_preds.reshape((-1, self.num_states)))
+
+                sess.run(opt, feed_dict=train_dict)
+                
+                Loss = sess.run(self.ELBO, feed_dict=train_dict)
+                
+                log_likelihood_ = np.array([self.get_likelihood(batch_train[k,:,:], batch_preds[k,:,:]) for k in range(batch_train.shape[0])]) 
+                log_likelihood_ = np.sum(log_likelihood_)/self.batch_size
+                
+                self._Losses.append(log_likelihood_)
+ 
+                # Verbosity function
+    
+                if self.verbosity:
+            
+                    print('Epoch %d \t----- \tBatch %d \t----- \tLog-Likelihood %10.6e' % (epoch, _, log_likelihood_))
+                
+        
+        # Save model
+        saver.save(sess, "./mlaimRNN_model") 
+        
+        if os.path.exists("attentive_state_space"):
+            
+            shutil.rmtree("attentive_state_space")
+        
+        tf.saved_model.simple_save(sess, export_dir='attentive_state_space', inputs={"myInput": self.observation}, 
+                                   outputs={"myOutput": self.predicted})    
+        
+           
+
+    def predict(self, X):
+        
+        X_normalized  = []
+
+        for k in range(len(X)):
+            
+            X_normalized.append(self.normalizer.transform(X[k])) 
+        
+        with tf.Session() as sess:
+            
+            saver           = tf.train.import_meta_graph("mlaimRNN_model.meta")
+            saver.restore(sess, tf.train.latest_checkpoint('./'))
+            
+            preds_lengths   = [len(X_normalized[k]) for k in range(len(X_normalized))]
+            
+            X_pred          = padd_data(X_normalized, padd_length=self.maximum_seq_length)
+            pred_dict       = {self.observation  : X_pred}
+            
+            prediction_     = sess.run(self.forward, pred_dict).reshape([-1, self.maximum_seq_length, self.num_states])         
+
+            preds_          = []
+            obs_            = []
+            
+            for k in range(len(X)):
+                
+                preds_.append(prediction_[k, 0 : preds_lengths[k]])
+                obs_.append(self.get_observations(preds_[-1]))
+
+            if self.inference_network in ['RETAIN', 'Seq2SeqAttention']:
+                
+                
+                attn_                  = sess.run(self.attention, pred_dict) 
+                attn_per_patient       = [attn_[u * self.maximum_seq_length : u * self.maximum_seq_length + self.maximum_seq_length, :, :] for u in range(len(X))]
+                attn_lists_per_patient = [[attn_per_patient[u][k, 0 : k + 1, :] for k in range(self.maximum_seq_length)] for u in range(len(X))]
+                
+                all_preds_             = (preds_, obs_, attn_lists_per_patient)    
+
+            else:
+                
+                all_preds_             = (preds_, obs_) 
+
+                
+        return all_preds_ 
+    
+    
+    def get_observations(self, preds):
+        
+        pred_obs     = []
+    
+        for v in range(preds.shape[0]):
+        
+            observations = np.zeros(self.input_dim)
+    
+            for k in range(self.num_states):
+            
+                observations += self.state_means[k] * preds[v, k] 
+    
+            pred_obs.append(observations) 
+    
+    
+        return np.array(pred_obs)
+    
+    
+    def sample(self, trajectory_length=5):
+        
+        initial_state    = np.random.choice(self.num_states, 1, 
+                                            p=self.initial_probabilities)[0]
+    
+        State_trajectory      = [initial_state]
+        first_observation     = np.random.multivariate_normal(self.state_means[initial_state], 
+                                                              self.state_covars[initial_state]) 
+    
+        Obervation_trajectory = [first_observation.reshape((1,-1))]
+    
+        for _ in range(trajectory_length):
+        
+            next_state_pred  = self.predict(Obervation_trajectory)[0][0][0]
+            next_state       = np.random.choice(self.num_states, 1, p=next_state_pred)[0]
+        
+            State_trajectory.append(next_state)
+        
+            next_observation = np.random.multivariate_normal(self.state_means[next_state], 
+                                                         self.state_covars[next_state]).reshape((1,-1))
+        
+        
+            Obervation_trajectory[0] = np.vstack((Obervation_trajectory[0], next_observation))
+        
+    
+        return State_trajectory, Obervation_trajectory   
+    
+    
+    @staticmethod
+    def _weight_and_bias(in_size, out_size, wnames):
+    
+        weight = tf.get_variable(wnames[0], 
+                                 shape=[in_size, out_size], 
+                                 initializer=tf.contrib.layers.xavier_initializer())
+        
+        bias   = tf.get_variable(wnames[1], 
+                                 shape=[out_size], 
+                                 initializer=tf.contrib.layers.xavier_initializer())
+        
+        return weight, bias
+        
+
+
+
+class SeqModel:
+    
+    '''
+    Parent class for all RNN models.
+
+    '''
+    
+    def __init__(self, 
+                 maximum_seq_length, 
+                 input_dim, 
+                 output_dim=1,
+                 model_type='RNN',
+                 rnn_type='RNN',
+                 latent=False,
+                 generative=False,
+                 irregular=False,
+                 multitask=False,
+                 prediction_mode='Sequence_labeling',
+                 input_name="Input", 
+                 output_name="Output",
+                 model_name="SeqModel",
+                 num_iterations=20, 
+                 num_epochs=10, 
+                 batch_size=100, 
+                 learning_rate=0.0005, 
+                 num_rnn_hidden=200, 
+                 num_rnn_layers=1,
+                 dropout_keep_prob=None,
+                 num_out_hidden=200, 
+                 num_out_layers=1,
+                 **kwargs
+                ):
+        
+        # Set all model variables
+
+        self.maximum_seq_length = maximum_seq_length 
+        self.input_dim          = input_dim
+        self.output_dim         = output_dim
+        self.model_type         = model_type
+        self.rnn_type           = rnn_type
+        self.latent             = latent
+        self.generative         = generative
+        self.irregular          = irregular
+        self.multitask          = multitask
+        self.prediction_mode    = prediction_mode
+        self.input_name         = input_name 
+        self.output_name        = output_name 
+        self.model_name         = model_name
+        self.num_iterations     = num_iterations
+        self.num_epochs         = num_epochs
+        self.batch_size         = batch_size
+        self.learning_rate      = learning_rate
+        self.num_rnn_hidden     = num_rnn_hidden
+        self.num_rnn_layers     = num_rnn_layers
+        self.dropout_keep_prob  = dropout_keep_prob
+        self.num_out_hidden     = num_out_hidden
+        self.num_out_layers     = num_out_layers
+        
+        
+        self.build_rnn_model()
+        tf.reset_default_graph()
+        self.build_rnn_graph()
+        
+        
+    
+    def build_rnn_model(self):
+        
+        # replace this with dictionary style indexing
+        
+        model_options_names     = ['RNN','LSTM','GRU','PhasedLSTM']
+        
+        optimizer_options_names = []
+        
+        
+        model_options   = [BasicRNNCell(self.num_rnn_hidden), rnn_cell.LSTMCell(self.num_rnn_hidden), 
+                                   rnn_cell.GRUCell(self.num_rnn_hidden), PhasedLSTMCell(self.num_rnn_hidden)]
+        
+        self._rnn_model = model_options[np.where(np.array(model_options_names)==self.rnn_type)[0][0]]
+        
+        if self.dropout_keep_prob is not None:
+            
+            self._rnn_model = tf.nn.rnn_cell.DropoutWrapper(self._rnn_model, output_keep_prob=self.dropout_keep_prob)
+        
+        self._Losses = []
+        
+
+    def build_rnn_graph(self):
+        
+        self.data   = tf.placeholder(tf.float32, 
+                                     [None, self.maximum_seq_length, self.input_dim], 
+                                     name=self.input_name)
+            
+        self.target = tf.placeholder(tf.float32, 
+                                     [None, self.maximum_seq_length, self.output_dim]) 
+        
+        if self.irregular:
+            
+            self.times      = tf.placeholder(tf.float32, [None, self.maximum_seq_length, 1])
+            self.rnn_input  = (self.times, self.data)
+        
+        else:
+            
+            self.rnn_input  = self.data 
+
+            
+    @lazy_property
+    def length(self):
+        
+        used   = tf.sign(tf.reduce_max(tf.abs(self.data), reduction_indices=2))
+        length = tf.reduce_sum(used, reduction_indices=1)
+        length = tf.cast(length, tf.int32)
+        
+        return length
+
+    @lazy_property
+    def prediction(self):
+        
+        self.process_rnn_inputs()
+        
+        # Recurrent network.   
+        if self.model_type != 'Seq2SeqAttention': 
+            
+            rnn_output, _  = rnn.dynamic_rnn(self._rnn_model, 
+                                             self.rnn_input_, 
+                                             dtype=tf.float32, 
+                                             sequence_length=self.length_,)
+        else:
+            
+            try:
+                
+                tf.nn.seq2seq = tf.contrib.legacy_seq2seq
+                tf.nn.rnn_cell = tf.contrib.rnn
+                tf.nn.rnn_cell.GRUCell = tf.contrib.rnn.GRUCell
+                print("TensorFlow version : >= 1.0")
+            
+            except: 
+            
+                print("TensorFlow version : 0.12")
+            
+            self.enc_inp    = [self.rnn_input_[:, t, :] for t in range(self.maximum_seq_length)]
+
+            self.dec_output = [tf.placeholder(tf.float32, shape=(None, 1), 
+                                              name="dec_output_".format(t)) for t in range(self.maximum_seq_length)]
+
+            self.dec_inp    = [tf.zeros_like(self.enc_inp[0], dtype=np.float32, name="GO")] + self.enc_inp[:-1] 
+
+            self.cells = []
+    
+            for i in range(self.num_rnn_layers):
+                
+                with tf.variable_scope('RNN_{}'.format(i)):
+                    
+                    self.cells.append(tf.nn.rnn_cell.GRUCell(self.num_rnn_hidden))
+            
+            
+            self.cell  = tf.nn.rnn_cell.MultiRNNCell(self.cells)
+            self.dec_outputs, self.dec_memory = tf.nn.seq2seq.basic_rnn_seq2seq(self.enc_inp, self.dec_inp, self.cell) 
+            
+            self.weight_dec, self.bias_dec = self._weight_and_bias(self.num_rnn_hidden, self.output_dim, ["w_dec", "b_dec"])
+            
+            self.seq2seq_attn = [(tf.matmul(i, self.weight_dec) + self.bias_dec) for i in self.dec_outputs]
+            self.seq2seq_attn = tf.nn.softmax(tf.reshape(tf.stack(self.seq2seq_attn), 
+                                                         [-1, self.maximum_seq_length, 1]), axis=1)
+            
+        
+        # Softmax layer.
+        self.weight_0, self.bias_0 = self._weight_and_bias(self.input_dim, 
+                                                           self.num_out_hidden, 
+                                                           ["w_0", "b_0"])
+        
+        self.weight, self.bias     = self._weight_and_bias(self.num_out_hidden, 
+                                                           self.output_dim, 
+                                                           ["w", "b"])
+            
+        # Flatten to apply same weights to all time steps.
+        
+        if self.model_type not in ['RETAIN', 'Seq2SeqAttention']: 
+            
+            rnn_output  = tf.reshape(rnn_output, [-1, self.num_out_hidden])
+            
+            prediction  = tf.nn.softmax(tf.matmul(rnn_output, self.weight) + self.bias)
+        
+        elif self.model_type == 'RETAIN':
+            
+            self.weight_a, self.bias_a = self._weight_and_bias(self.num_out_hidden, 1, ["w_a", "b_a"])
+            
+            rnn_output      = tf.reshape(rnn_output, [-1, self.num_out_hidden])
+            
+            self.attention  = tf.nn.softmax(tf.reshape(tf.matmul(rnn_output, self.weight_a) + self.bias_a, 
+                                                       [-1, self.maximum_seq_length, 1]), axis=1)
+            
+            attn_mask       = tf.expand_dims(tf.sign(tf.reduce_max(tf.abs(self.rnn_input_), reduction_indices=2)), axis=2)
+            masked_attn     = tf.multiply(attn_mask, self.attention)
+            attn_norms      = tf.expand_dims(tf.tile(tf.reduce_sum(masked_attn, axis=1), [1, self.maximum_seq_length]), axis=2)
+            self.attention  = masked_attn/attn_norms
+            self.attention_ = tf.tile(self.attention, [1, 1, self.input_dim])
+            self.context    = tf.reduce_sum(tf.multiply(self.attention_, self.rnn_input_), reduction_indices=1)
+            context_layer   = tf.matmul(self.context, self.weight_0) + self.bias_0
+            prediction      = tf.nn.softmax(tf.matmul(context_layer, self.weight) + self.bias)
+        
+        elif self.model_type == 'Seq2SeqAttention':
+            
+            self.attention  = self.seq2seq_attn
+            
+            attn_mask       = tf.expand_dims(tf.sign(tf.reduce_max(tf.abs(self.rnn_input_), reduction_indices=2)), axis=2)
+            masked_attn     = tf.multiply(attn_mask, self.attention)
+            attn_norms      = tf.expand_dims(tf.tile(tf.reduce_sum(masked_attn, axis=1), [1, self.maximum_seq_length]), axis=2)
+            self.attention  = masked_attn/attn_norms
+            self.attention_ = tf.tile(self.attention, [1, 1, self.input_dim])
+            self.context    = tf.reduce_sum(tf.multiply(self.attention_, self.rnn_input_), reduction_indices=1)
+            context_layer   = tf.matmul(self.context, self.weight_0) + self.bias_0
+            prediction      = tf.nn.softmax(tf.matmul(context_layer, self.weight) + self.bias)
+
+        prediction      = tf.reshape(prediction, [-1, self.maximum_seq_length, self.output_dim])
+        self.predicted  = prediction
+        self.predicted  = tf.identity(self.predicted, name=self.output_name)
+        
+        return prediction
+
+    
+    def process_rnn_inputs(self):
+        
+        if self.model_type in ['RETAIN', 'Seq2SeqAttention']: 
+            
+            self.num_samples = tf.shape(self.data)[0]
+             
+            Lengths_         = np.repeat(self.length, self.maximum_seq_length)
+            
+            conv_data        = tf.reshape(tf.tile(self.data, [1, self.maximum_seq_length, 1]), 
+                                          [self.maximum_seq_length * self.num_samples, 
+                                           self.maximum_seq_length, self.input_dim])
+            
+            conv_mask_       = tf.ones([self.maximum_seq_length, self.maximum_seq_length], tf.float32)
+            
+            conv_mask        = tf.tile(tf.expand_dims(tf.tile(tf.matrix_band_part(conv_mask_, -1, 0), 
+                                                              [self.num_samples, 1]), 2), 
+                                                              [1, 1, self.input_dim])
+            
+            masked_data   = tf.multiply(conv_data, conv_mask)
+            
+            Seq_lengths_  = tf.tile(tf.range(1, self.maximum_seq_length + 1, 1), [self.num_samples])
+            
+            if self.model_type == 'RETAIN':
+            
+                self.rnn_input_  = tf.reverse_sequence(masked_data, batch_axis=0, seq_dim=1, 
+                                                       seq_lengths=Seq_lengths_, seq_axis=None)
+            else:
+                
+                self.rnn_input_  = masked_data
+                
+            
+            used         = tf.sign(tf.reduce_max(tf.abs(self.rnn_input_), reduction_indices=2))
+            length       = tf.reduce_sum(used, reduction_indices=1)
+            self.length_ = tf.cast(length, tf.int32)
+            
+            self.target_ = tf.tile(self.target, [self.maximum_seq_length, 1, 1]) 
+            
+        else:    
+            
+            self.rnn_input_ = self.rnn_input
+            self.target_    = self.target 
+            self.length_    = self.length
+
+    @lazy_property
+    def loss(self):
+        
+        # Compute cross entropy for each frame.
+        cross_entropy  = tf.reduce_sum(-1*(self.target * tf.log(self.prediction) + (1-self.target)*(tf.log(1-self.prediction))),
+                                       reduction_indices=2) 
+
+        mask           = tf.sign(tf.reduce_max(tf.abs(self.data), reduction_indices=2))
+        cross_entropy *= mask
+        self.mask      = mask
+        
+        # Average over actual sequence lengths.
+        cross_entropy  = tf.reduce_sum(cross_entropy, reduction_indices=1)
+        cross_entropy /= tf.cast(self.length, tf.float32)
+        
+        return tf.reduce_mean(cross_entropy)
+        
+    
+    
+    def train(self, X, Y, T=None):
+        
+        X_, Y_   = padd_data(X, self.maximum_seq_length), padd_data(Y, self.maximum_seq_length)
+        
+        if T is not None:
+            T_   = padd_data(T, self.maximum_seq_length)
+        
+        
+        sess = tf.InteractiveSession()
+        
+        opt      = tf.train.AdamOptimizer(learning_rate=self.learning_rate).minimize(self.loss)
+        init     = tf.global_variables_initializer()
+        
+        sess.run(init)
+
+        saver = tf.train.Saver()
+        
+        for epoch in range(self.num_epochs):
+                
+            for _ in range(self.num_iterations):
+                
+                batch_samples = np.random.choice(list(range(X_.shape[0])), size=self.batch_size, replace=False)
+                batch_train   = X_[batch_samples,:,:]
+                batch_targets = Y_[batch_samples,:,:] 
+                
+                if T is not None:
+                    batch_times = T_[batch_samples,:,:]
+                    
+                    train_dict  = {self.data   : batch_train,
+                                   self.target : batch_targets,
+                                   self.times  : batch_times}
+                else:
+                    
+                    train_dict  = {self.data   : batch_train,
+                                   self.target : batch_targets}
+                
+                
+                sess.run(opt, feed_dict=train_dict)
+                
+                Loss          = sess.run(self.loss, feed_dict=train_dict)
+                
+                self._Losses.append(Loss)
+ 
+                # Visualize function
+                print('Epoch {} \t----- \tBatch {} \t----- \tLoss {}'.format(epoch, _, self._Losses[-1]))
+  
+        # change names
+        saver.save(sess, "./mlaimRNN_model") 
+        
+        if os.path.exists("modelgraph"):
+            
+            shutil.rmtree("modelgraph")
+        
+        tf.saved_model.simple_save(sess, export_dir='modelgraph', inputs={"myInput": self.data}, 
+                                   outputs={"myOutput": self.predicted})    
+        
+            
+    def predict(self, X, T=None):
+        
+        with tf.Session() as sess:
+            
+            saver           = tf.train.import_meta_graph("mlaimRNN_model.meta")
+            saver.restore(sess, tf.train.latest_checkpoint('./'))
+            
+            preds_lengths   = [len(X[k]) for k in range(len(X))]
+            
+            X_pred          = padd_data(X, padd_length=self.maximum_seq_length)
+            
+            if T is not None:
+                T_pred      = padd_data_enforce(T, padd_length=self.maximum_seq_length)
+                pred_dict   = {self.data   : X_pred, self.times   : T_pred}
+            else:
+                pred_dict   = {self.data   : X_pred}
+            
+            prediction_     = sess.run(self.prediction, pred_dict).reshape([-1, self.maximum_seq_length, 1])         
+
+            preds_          = []
+            
+            for k in range(len(X)):
+                
+                preds_.append(prediction_[k, 0 : preds_lengths[k]])
+                
+                
+            if self.model_type in ['RETAIN', 'Seq2SeqAttention']: 
+                
+                attn_                  = sess.run(self.attention, pred_dict) 
+                attn_per_patient       = [attn_[u * self.maximum_seq_length : u * self.maximum_seq_length + self.maximum_seq_length, :, :] for u in range(len(X))]
+                attn_lists_per_patient = [[attn_per_patient[u][k, 0 : k + 1, :] for k in range(self.maximum_seq_length)] for u in range(len(X))]
+                
+                preds_                 = (preds_, attn_lists_per_patient)
+            
+        return preds_    
+    
+    
+    def evaluate(self, preds, Y_test):
+        
+        flat_preds   = flatten_sequences_to_numpy(preds)
+        flat_Y_test  = np.array(list(itertools.chain.from_iterable([Y_test[k].tolist() for k in range(len(Y_test))])))
+        
+        _performance = roc_auc_score(flat_Y_test, flat_preds)
+        
+        return _performance
+    
+    @staticmethod
+    def _weight_and_bias(in_size, out_size, wnames):
+    
+        weight = tf.get_variable(wnames[0], shape=[in_size, out_size], initializer=tf.contrib.layers.xavier_initializer())
+        bias   = tf.get_variable(wnames[1], shape=[out_size], initializer=tf.contrib.layers.xavier_initializer())
+        
+        return weight, bias
+        
+
+
+class sequence_prediction:
+    
+    '''
+    Parent class for all RNN models.
+
+    '''
+    
+    def __init__(self, 
+                 maximum_seq_length, 
+                 input_dim, 
+                 model_type='RNN',
+                 rnn_type='RNN',
+                 input_name="Input", 
+                 output_name="Output",
+                 model_name="SeqModel",
+                 num_iterations=20, 
+                 num_epochs=10, 
+                 batch_size=100, 
+                 learning_rate=0.0005, 
+                 num_rnn_hidden=200, 
+                 num_rnn_layers=1,
+                 dropout_keep_prob=None,
+                 num_out_hidden=200, 
+                 num_out_layers=1,
+                 verbosity=True,
+                 **kwargs
+                ):
+        
+        # Set all model variables
+
+        self.maximum_seq_length = maximum_seq_length 
+        self.input_dim          = input_dim
+        self.output_dim         = input_dim
+        self.model_type         = model_type
+        self.rnn_type           = rnn_type
+        
+        self.input_name         = input_name 
+        self.output_name        = output_name 
+        self.model_name         = model_name
+        self.num_iterations     = num_iterations
+        self.num_epochs         = num_epochs
+        self.batch_size         = batch_size
+        self.learning_rate      = learning_rate
+        self.num_rnn_hidden     = num_rnn_hidden
+        self.num_rnn_layers     = num_rnn_layers
+        self.dropout_keep_prob  = dropout_keep_prob
+        self.num_out_hidden     = num_out_hidden
+        self.num_out_layers     = num_out_layers
+        self.verbosity          = verbosity
+        
+        
+        self.build_rnn_model()
+        tf.reset_default_graph()
+        self.build_rnn_graph()
+        
+        
+    
+    def build_rnn_model(self):
+        
+        # replace this with dictionary style indexing
+        
+        model_options_names     = ['RNN','LSTM','GRU','PhasedLSTM']
+        
+        optimizer_options_names = []
+        
+        
+        model_options   = [BasicRNNCell(self.num_rnn_hidden), rnn_cell.LSTMCell(self.num_rnn_hidden), 
+                                   rnn_cell.GRUCell(self.num_rnn_hidden), PhasedLSTMCell(self.num_rnn_hidden)]
+        
+        self._rnn_model = model_options[np.where(np.array(model_options_names)==self.rnn_type)[0][0]]
+        
+        if self.dropout_keep_prob is not None:
+            
+            self._rnn_model = tf.nn.rnn_cell.DropoutWrapper(self._rnn_model, output_keep_prob=self.dropout_keep_prob)
+        
+        self._Losses = []
+        
+
+    def build_rnn_graph(self):
+        
+        self.data   = tf.placeholder(tf.float32, 
+                                     [None, self.maximum_seq_length, self.input_dim], 
+                                     name=self.input_name)
+            
+        self.target = tf.placeholder(tf.float32, 
+                                     [None, self.maximum_seq_length, self.output_dim]) 
+        
+            
+        self.rnn_input  = self.data 
+
+            
+    @lazy_property
+    def length(self):
+        
+        used   = tf.sign(tf.reduce_max(tf.abs(self.data), reduction_indices=2))
+        length = tf.reduce_sum(used, reduction_indices=1)
+        length = tf.cast(length, tf.int32)
+        
+        return length
+
+    @lazy_property
+    def prediction(self):
+        
+        self.process_rnn_inputs()
+        
+        # Recurrent network.   
+        if self.model_type != 'Seq2SeqAttention': 
+            
+            rnn_output, _  = rnn.dynamic_rnn(self._rnn_model, 
+                                             self.rnn_input_, 
+                                             dtype=tf.float32, 
+                                             sequence_length=self.length_,)
+        else:
+            
+            try:
+                
+                tf.nn.seq2seq = tf.contrib.legacy_seq2seq
+                tf.nn.rnn_cell = tf.contrib.rnn
+                tf.nn.rnn_cell.GRUCell = tf.contrib.rnn.GRUCell
+                print("TensorFlow version : >= 1.0")
+            
+            except: 
+            
+                print("TensorFlow version : 0.12")
+            
+            self.enc_inp    = [self.rnn_input_[:, t, :] for t in range(self.maximum_seq_length)]
+
+            self.dec_output = [tf.placeholder(tf.float32, shape=(None, 1), 
+                                              name="dec_output_".format(t)) for t in range(self.maximum_seq_length)]
+
+            self.dec_inp    = [tf.zeros_like(self.enc_inp[0], dtype=np.float32, name="GO")] + self.enc_inp[:-1] 
+
+            self.cells = []
+    
+            for i in range(self.num_rnn_layers):
+                
+                with tf.variable_scope('RNN_{}'.format(i)):
+                    
+                    self.cells.append(tf.nn.rnn_cell.GRUCell(self.num_rnn_hidden))
+            
+            
+            self.cell  = tf.nn.rnn_cell.MultiRNNCell(self.cells)
+            self.dec_outputs, self.dec_memory = tf.nn.seq2seq.basic_rnn_seq2seq(self.enc_inp, self.dec_inp, self.cell) 
+            
+            self.weight_dec, self.bias_dec = self._weight_and_bias(self.num_rnn_hidden, self.output_dim, ["w_dec", "b_dec"])
+            
+            self.seq2seq_attn = [(tf.matmul(i, self.weight_dec) + self.bias_dec) for i in self.dec_outputs]
+            self.seq2seq_attn = tf.nn.softmax(tf.reshape(tf.stack(self.seq2seq_attn), 
+                                                         [-1, self.maximum_seq_length, 1]), axis=1)
+            
+        
+        # Softmax layer.
+        self.weight_0, self.bias_0 = self._weight_and_bias(self.input_dim, 
+                                                           self.num_out_hidden, 
+                                                           ["w_0", "b_0"])
+        
+        self.weight, self.bias     = self._weight_and_bias(self.num_out_hidden, 
+                                                           self.output_dim, 
+                                                           ["w", "b"])
+            
+        # Flatten to apply same weights to all time steps.
+        
+        if self.model_type not in ['RETAIN', 'Seq2SeqAttention']: 
+            
+            rnn_output  = tf.reshape(rnn_output, [-1, self.num_out_hidden])
+            
+            prediction  = tf.matmul(rnn_output, self.weight) + self.bias
+        
+        elif self.model_type == 'RETAIN':
+            
+            self.weight_a, self.bias_a = self._weight_and_bias(self.num_out_hidden, 1, ["w_a", "b_a"])
+            
+            rnn_output      = tf.reshape(rnn_output, [-1, self.num_out_hidden])
+            
+            self.attention  = tf.nn.softmax(tf.reshape(tf.matmul(rnn_output, self.weight_a) + self.bias_a, 
+                                                       [-1, self.maximum_seq_length, 1]), axis=1)
+            
+            attn_mask       = tf.expand_dims(tf.sign(tf.reduce_max(tf.abs(self.rnn_input_), reduction_indices=2)), axis=2)
+            masked_attn     = tf.multiply(attn_mask, self.attention)
+            attn_norms      = tf.expand_dims(tf.tile(tf.reduce_sum(masked_attn, axis=1), [1, self.maximum_seq_length]), axis=2)
+            self.attention  = masked_attn #/attn_norms
+            self.attention_ = tf.tile(self.attention, [1, 1, self.input_dim])
+            self.context    = tf.reduce_sum(tf.multiply(self.attention_, self.rnn_input_), reduction_indices=1)
+            context_layer   = tf.matmul(self.context, self.weight_0) + self.bias_0
+            prediction      = tf.matmul(context_layer, self.weight) + self.bias
+        
+        elif self.model_type == 'Seq2SeqAttention':
+            
+            self.attention  = self.seq2seq_attn
+            
+            attn_mask       = tf.expand_dims(tf.sign(tf.reduce_max(tf.abs(self.rnn_input_), reduction_indices=2)), axis=2)
+            masked_attn     = tf.multiply(attn_mask, self.attention)
+            attn_norms      = tf.expand_dims(tf.tile(tf.reduce_sum(masked_attn, axis=1), [1, self.maximum_seq_length]), axis=2)
+            self.attention  = masked_attn/attn_norms
+            self.attention_ = tf.tile(self.attention, [1, 1, self.input_dim])
+            self.context    = tf.reduce_sum(tf.multiply(self.attention_, self.rnn_input_), reduction_indices=1)
+            context_layer   = tf.matmul(self.context, self.weight_0) + self.bias_0
+            prediction      = tf.matmul(context_layer, self.weight) + self.bias
+
+        prediction      = tf.reshape(prediction, [-1, self.maximum_seq_length, self.output_dim])
+        self.predicted  = prediction
+        self.predicted  = tf.identity(self.predicted, name=self.output_name)
+        
+
+        return prediction
+
+    
+    def process_rnn_inputs(self):
+        
+        if self.model_type in ['RETAIN', 'Seq2SeqAttention']: 
+            
+            self.num_samples = tf.shape(self.data)[0]
+             
+            Lengths_         = np.repeat(self.length, self.maximum_seq_length)
+            
+            conv_data        = tf.reshape(tf.tile(self.data, [1, self.maximum_seq_length, 1]), 
+                                          [self.maximum_seq_length * self.num_samples, 
+                                           self.maximum_seq_length, self.input_dim])
+            
+            conv_mask_       = tf.ones([self.maximum_seq_length, self.maximum_seq_length], tf.float32)
+            
+            conv_mask        = tf.tile(tf.expand_dims(tf.tile(tf.matrix_band_part(conv_mask_, -1, 0), 
+                                                              [self.num_samples, 1]), 2), 
+                                                              [1, 1, self.input_dim])
+            
+            masked_data   = tf.multiply(conv_data, conv_mask)
+            
+            Seq_lengths_  = tf.tile(tf.range(1, self.maximum_seq_length + 1, 1), [self.num_samples])
+            
+            if self.model_type == 'RETAIN':
+            
+                self.rnn_input_  = tf.reverse_sequence(masked_data, batch_axis=0, seq_dim=1, 
+                                                       seq_lengths=Seq_lengths_, seq_axis=None)
+            else:
+                
+                self.rnn_input_  = masked_data
+                
+            
+            used         = tf.sign(tf.reduce_max(tf.abs(self.rnn_input_), reduction_indices=2))
+            length       = tf.reduce_sum(used, reduction_indices=1)
+            self.length_ = tf.cast(length, tf.int32)
+            
+            self.target_ = tf.tile(self.target, [self.maximum_seq_length, 1, 1]) 
+            
+        else:    
+            
+            self.rnn_input_ = self.rnn_input
+            self.target_    = self.target 
+            self.length_    = self.length
+
+    @lazy_property
+    def loss(self):
+
+        MSE            = (self.target - self.prediction)**2
+        
+        return tf.reduce_mean(MSE) 
+        
+    
+    def fit(self, X):
+        
+        self.normalizer   = MinMaxScaler()
+        self.normalizer.fit(np.concatenate(X))
+
+        self.X_normalized  = []
+        self.Y_normalized  = []
+
+        for k in range(len(X)):
+            
+            self.X_normalized.append(self.normalizer.transform(X[k])[:len(X[k])-1,:]) 
+            self.Y_normalized.append(self.normalizer.transform(X[k])[1:,:]) 
+        
+        
+        X_  = padd_data(self.X_normalized, self.maximum_seq_length)
+        Y_  = padd_data(self.Y_normalized, self.maximum_seq_length)
+        
+        sess = tf.InteractiveSession()
+        
+        opt      = tf.train.AdamOptimizer(learning_rate=self.learning_rate).minimize(self.loss)
+        init     = tf.global_variables_initializer()
+        
+        sess.run(init)
+
+        saver = tf.train.Saver()
+        
+        for epoch in range(self.num_epochs):
+                
+            for _ in range(self.num_iterations):
+                
+                batch_samples = np.random.choice(list(range(X_.shape[0])), size=self.batch_size, replace=False)
+                batch_train   = X_[batch_samples,:,:]
+                batch_targets = Y_[batch_samples,:,:]
+                    
+                train_dict    = {self.data   : batch_train,
+                                 self.target : batch_targets}
+                
+                
+                sess.run(opt, feed_dict=train_dict)
+                
+                Loss          = sess.run(self.loss, feed_dict=train_dict)
+                
+                self._Losses.append(Loss)
+ 
+                # Visualize function
+                if self.verbosity:
+                    print('Epoch {} \t----- \tBatch {} \t----- \tLoss {}'.format(epoch, _, self._Losses[-1]))
+  
+        # change names
+        saver.save(sess, "./mlaimRNN_model") 
+        
+        if os.path.exists("modelgraph"):
+            
+            shutil.rmtree("modelgraph")
+        
+        tf.saved_model.simple_save(sess, export_dir='modelgraph', inputs={"myInput": self.data}, 
+                                   outputs={"myOutput": self.predicted})    
+        
+            
+    def predict(self, X, T=None):
+        
+        with tf.Session() as sess:
+            
+            saver           = tf.train.import_meta_graph("mlaimRNN_model.meta")
+            saver.restore(sess, tf.train.latest_checkpoint('./'))
+            
+            preds_lengths   = [len(X[k]) for k in range(len(X))]
+
+            self.X_normalized  = []
+
+
+            for k in range(len(X)):
+            
+                self.X_normalized.append(self.normalizer.transform(X[k])[:len(X[k])-1,:]) 
+
+            
+            X_pred          = padd_data(self.X_normalized, padd_length=self.maximum_seq_length)
+
+            pred_dict       = {self.data   : X_pred}
+            
+            prediction_     = sess.run(self.prediction, pred_dict).reshape([-1, self.maximum_seq_length, self.output_dim])         
+
+            preds_          = []
+            
+            for k in range(len(X)):
+                
+                preds_.append(prediction_[k, 0 : preds_lengths[k], :])
+                
+                
+            if self.model_type in ['RETAIN', 'Seq2SeqAttention']: 
+                
+                attn_                  = sess.run(self.attention, pred_dict) 
+                attn_per_patient       = [attn_[u * self.maximum_seq_length : u * self.maximum_seq_length + self.maximum_seq_length, :, :] for u in range(len(X))]
+                attn_lists_per_patient = [[attn_per_patient[u][k, 0 : k + 1, :] for k in range(self.maximum_seq_length)] for u in range(len(X))]
+                
+                preds_                 = (preds_, attn_lists_per_patient)
+            
+        return preds_    
+    
+    
+    @staticmethod
+    def _weight_and_bias(in_size, out_size, wnames):
+    
+        weight = tf.get_variable(wnames[0], shape=[in_size, out_size], initializer=tf.contrib.layers.xavier_initializer())
+        bias   = tf.get_variable(wnames[1], shape=[out_size], initializer=tf.contrib.layers.xavier_initializer())
+        
+        return weight, bias
+        
diff --git a/alg/autoprognosis/README.md b/alg/autoprognosis/README.md
new file mode 100644
index 00000000..caf777a7
--- /dev/null
+++ b/alg/autoprognosis/README.md
@@ -0,0 +1,46 @@
+# AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization with Structured Kernel Learning 
+
+[AutoPrognosis](https://icml.cc/Conferences/2018/Schedule?showEvent=2050): A system for
+automating the design of predictive modeling pipelines tailored for
+clinical prognosis.
+
+See <project_dir>/doc/install.md for installation instructions
+
+## [Video Presentation Autoprognosis](https://www.youtube.com/watch?v=d1uEATa0qIo)
+
+You can find a presentation by Prof. van der Schaar describing AutoPrognosis here:
+https://www.youtube.com/watch?v=d1uEATa0qIo
+
+## [Slides Autoprognosis](doc/AP_summary.pdf)
+
+## Usage
+
+```
+python3 autoprognosis.py -i <data.csv> --target <response variable> -o <outdir>  [ -n <num_sample> --it <num_iterations> ]
+```
+
+The results can be found in two json files: <outdir>/result.json and <outdir>report.json. They can be shown with:
+
+```
+python3 autoprognosis_report.py -i <outdir>
+```
+See also jupyter notebooks tutorial_autoprognosis_*.ipynb
+
+## Examples
+
+```
+mkdir result  # directory where the results generated by autoprognosis are stored
+python3 autoprognosis.py -i ../../data/spambase.csv.gz --target label -o result --acquisitiontype MPI
+python3 autoprognosis_report.py -i result --verbose 0  # --verbose 1 sorts by classifiers *and* parameters
+```
+
+## Known issues
+
+- Acquisition function LCB generates excesive warnings "The set cost
+  function is ignored! LCB acquisition does not make sense with
+  cost.". This can be ignored.
+
+## References
+1. [AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization with Structured Kernel Learning](https://arxiv.org/abs/1802.07207)
+2. [Prognostication and Risk Factors for Cystic Fibrosis via Automated Machine Learning](https://www.nature.com/articles/s41598-018-29523-2)
+3. [Cardiovascular Disease Risk Prediction using Automated Machine Learning: A Prospective Study of 423,604 UK Biobank Participants](https://www.ncbi.nlm.nih.gov/pubmed/31091238)
diff --git a/alg/autoprognosis/autoprognosis.py b/alg/autoprognosis/autoprognosis.py
new file mode 100644
index 00000000..deb69e56
--- /dev/null
+++ b/alg/autoprognosis/autoprognosis.py
@@ -0,0 +1,302 @@
+import model
+import argparse
+import numpy as np
+import json
+import pandas as pd
+import os
+import pickle
+import time
+import initpath_ap
+initpath_ap.init_sys_path()
+import utilmlab
+
+
+def init_arg():
+    parser = argparse.ArgumentParser()
+    parser.add_argument("-o", help="output directory")
+    parser.add_argument(
+        "-n",
+        default=0,
+        type=int,
+        help="maximum number of samples")
+    parser.add_argument(
+        "--nstage",
+        default=1,
+        type=int,
+        help=""
+        "size of pipeline: 0: auto (selects imputation when missing data is detected)"
+        "1: only classifiers, "
+        "2: feature processesing + clf, "
+        "3: imputers + feature processors and clf")
+    parser.add_argument("--dataset")
+    parser.add_argument("-i", help='input data in csv format')
+    parser.add_argument(
+        "--target",
+        help='name of response var when using csv as input')
+    parser.add_argument(
+        "--separator",
+        default=',',
+        help="separator csv file")
+    parser.add_argument("--metric", default='aucroc')
+    parser.add_argument("--verbose", default=0, type=int)
+    parser.add_argument(
+        "--pmiss",
+        default=0,
+        type=float,
+        help='missing rate when introducing nans')
+    parser.add_argument(
+        "--xtr",
+        default=0,
+        type=int,
+        help="private/adhoc/not supported parameter to"
+        " temporally control internal behavior")
+    parser.add_argument("--usegain", default=0, type=int)
+    parser.add_argument(
+        "--it",
+        default=20,
+        type=int,
+        help='number of iterations')
+    parser.add_argument(
+        "--ensemble",
+        default=1,
+        type=int,
+        help='include ensembles when fitting')
+    parser.add_argument("--ensemblesize", default=3, type=int)
+    parser.add_argument("--model", help="filename to save model")
+    parser.add_argument(
+        "--cv",
+        type=int,
+        default=5,
+        help="number of cross validation folds")
+    parser.add_argument(
+        "--acquisitiontype",
+        default='LCB',
+        help="[LCB, MPI, EI], LCB is prefered but generates warnings")
+    return parser.parse_args()
+
+
+def impute_gain(x, odir):
+    python_exe = 'python3'
+    script = '{}/gain/gain.py'.format(utilmlab.get_proj_dir())
+    fn_i = '{}/xmissing.csv.gz'.format(odir)
+    fn_o = '{}/ximputed.csv'.format(odir)
+    x.to_csv(fn_i, compression='gzip', index=False)
+    if os.path.isfile(fn_o):
+        os.remove(fn_o) 
+    utilmlab.exe_cmd(
+        logger,
+        '{} {} -i {} -o {} --testall 1'.format(
+            python_exe,
+            script,
+            fn_i,
+            fn_o))
+    return pd.read_csv(fn_o)
+
+
+if __name__ == '__main__':
+    version = '0.40'
+    args = init_arg()
+    nCV = args.cv
+    model.set_xtr_arg(args.xtr)
+    niter = args.it
+    nsample = args.n
+    use_gain = args.usegain
+    odir = args.o if args.o is not None else '.'
+    fn_json = '{}/result.json'.format(odir)
+    fn_report_json = '{}/report.json'.format(odir)
+    fn_model = args.model
+    acquisition_type = args.acquisitiontype
+
+    sep = args.separator
+    verbose = args.verbose
+
+    if not os.path.isdir(odir):
+        print("error: output directory \"{}\" does not exist".format(odir))
+        assert 0
+
+    logger = utilmlab.init_logger(
+        odir,
+        'log_ap.txt',
+        use_show=True if args.verbose else False)
+
+    model.logger = logger
+    metric = args.metric
+    ds = args.dataset
+    is_ensemble = args.ensemble
+    ensemble_size = args.ensemblesize
+
+    # hack: space marker: some tools cannot deal with spaces with are part of
+    # the name
+    ds = ds.replace('@', ' ') if ds is not None else ds
+    
+    nmax_model = args.nstage
+    model.nmax_model = nmax_model
+    fn_i = args.i
+    label = args.target
+    p_miss = args.pmiss
+
+    logger.info('autoprognosis version'.format(version))
+    logger.info('ds:{} stages:{} n:{} metric:{} pmiss:{} it:{} '
+                'model:{} aqt:{}'.format(
+                    ds, nmax_model, nsample,
+                    metric, p_miss, niter, fn_model,
+                    acquisition_type))
+
+    logger.info('{}'.format(args))
+    if ds is not None and os.path.isfile(
+            '{}/util/datasets.py'.format(
+                utilmlab.get_proj_dir())):
+        import datasets
+        X_, Y_ = datasets.load_dataset(ds)
+    else:
+        assert fn_i is not None
+        assert label is not None
+        logger.info('loading {} lbl:{} sep:{}'.format(
+            fn_i, label, sep))
+        df = pd.read_csv(fn_i, sep=sep)
+        features = list(df.columns)
+        assert label in features
+        features.remove(label)
+        assert len(df)
+        assert len(features) > 1
+        X_ = df[features]
+        Y_ = df[label]
+
+    if p_miss:
+        X_ = pd.DataFrame(
+            utilmlab.introduce_missing(X_, p_miss),
+            columns=X_.columns)
+
+    if nsample:
+        nnan_x = utilmlab.df_get_num_na(X_)
+        logger.info('+shape: x:{} y:{} nan: x:{} ({})'.format(
+            X_.shape,
+            Y_.shape,
+            nnan_x,
+            nnan_x/float(np.prod(X_.shape))
+        ))
+        X_ = X_.iloc[:nsample, :]
+        Y_ = Y_[:nsample]
+
+    nnan_x = utilmlab.df_get_num_na(X_)
+    logger.info('shape: x:{} y:{} #{} nan: x:{} ({:0.3f})'.format(
+        X_.shape,
+        Y_.shape,
+        len(set(Y_)),
+        nnan_x,
+        nnan_x/np.prod(X_.shape)))
+
+    if nnan_x and use_gain:
+        X_ = impute_gain(X_, odir)
+        nnan_x = utilmlab.df_get_num_na(X_)
+        logger.info('nan (after gain):{}'.format(nnan_x))
+
+    # if nnan_x and 0 < nmax_model and nmax_model < 3:
+    #     X_ = X_.fillna(X_.mean())
+    #     logger.critical(
+    #         'warning: nan (missing values) detected and no'
+    #         'imputation selecting, using mean imputation:{}'.format(nnan_x))
+    #     time.sleep(2)
+    #     nnan_x = utilmlab.df_get_num_na(X_)
+    #     assert nnan_x == 0
+
+    exe_time_start = time.time()
+
+    AP_mdl = model.AutoPrognosis_Classifier(
+        CV=nCV,
+        num_iter=niter,
+        kernel_freq=100,
+        ensemble=is_ensemble,
+        ensemble_size=ensemble_size,
+        Gibbs_iter=100,
+        burn_in=50,
+        num_components=3,
+        metric=metric,
+        isnan=True if utilmlab.df_get_num_na(X_) else False,
+        acquisition_type=acquisition_type)
+
+    if False:
+        logger.info('+ap:evaluate_clf')
+        Output, d = model.evaluate_clf(
+            X_,
+            Y_,
+            AP_mdl,
+            n_folds=nCV,
+            visualize=True)
+        logger.info('-ap:evaluate_clf')
+        logger.info('+')
+        for idx, el in enumerate(AP_mdl.scores_):
+            logger.info('{} {:0.3f} {}'.format(
+                idx, float(el), AP_mdl.eva_prop_[idx]))
+        eva_prop_lst = sorted(
+            AP_mdl.eva_prop_, key=lambda el: el[metric], reverse=True)
+        logger.info(' -')
+        for idx, el in enumerate(eva_prop_lst):
+            logger.info('{} {}'.format(idx, el))
+        logger.info('-')
+
+        fn_result_clf = '{}/result_clf.json'.format(odir)
+        with open(fn_result_clf, "w") as fp:
+            json.dump({'result_clf': eva_prop_lst}, fp)
+
+    assert is_ensemble == True
+
+    Output, Output_ens, score_d, last_model_fitted, eva_prop_lst \
+        = model.evaluate_ens(
+            X_,
+            Y_,
+            AP_mdl,
+            n_folds=nCV,
+            visualize=False)
+
+    AP_mdl = last_model_fitted
+
+    if verbose:
+        logger.info(' - Scores')
+        for idx, el in enumerate(AP_mdl.scores_):
+            logger.info('{} {:0.3f} {}'.format(
+                idx, float(el), eva_prop_lst[-1][idx]))
+        logger.info(' - sorted props')
+        eva_prop_lst_last = sorted(
+            eva_prop_lst[-1], key=lambda el: el[metric], reverse=True)
+        for idx, el in enumerate(eva_prop_lst_last):
+            logger.info('{} {}'.format(idx, el))
+        logger.info('-')
+    fn_result_clf = '{}/result_clf.json'.format(odir)
+    with open(fn_result_clf, "w") as fp:
+        json.dump({'result_clf': eva_prop_lst}, fp)
+    
+    score_d['time_exe'] = time.time() - exe_time_start
+
+    with open(fn_json, "w") as fp:
+        json.dump(score_d, fp)
+
+    report_d = AP_mdl.APReport()
+    report_d['classes'] = list(set(Y_))
+    report_d['features'] = list(X_.columns)
+    report_d['samples'] = len(Y_)
+
+    with open(fn_report_json, "w") as fp:
+        json.dump(report_d, fp)
+
+    logger.debug('**Final Cross-validation score: ** {}'.format(str(Output)))
+    logger.debug('**Final Cross-validation score with ensembles: ** {}'.format(
+        str(Output_ens)))
+    for ky in ['clf', 'clf_ens']:
+        logger.debug(' evaluateAUC_ens: {} aucroc {:0.4f} #({})'.format(
+            ky,
+            np.mean(score_d[ky]['roc_lst']),
+            len(score_d['clf']['roc_lst'])))
+        logger.debug(' evaluateAUC_ens: {} aucprc {:0.4f} #({})'.format(
+            ky,
+            np.mean(score_d[ky]['prc_lst']),
+            len(score_d[ky]['prc_lst'])))
+    logger.info('-evaluateAUC_ens {} {} {:0.1f}s'.format(
+        Output,
+        Output_ens,
+        score_d['time_exe']))
+
+    if fn_model is not None:
+        with open(fn_model, "wb") as fp:
+            logger.info('saving model {}'.format(fn_model))
+            pickle.dump(AP_mdl, fp)
diff --git a/alg/autoprognosis/autoprognosis_predict.py b/alg/autoprognosis/autoprognosis_predict.py
new file mode 100644
index 00000000..372009c5
--- /dev/null
+++ b/alg/autoprognosis/autoprognosis_predict.py
@@ -0,0 +1,103 @@
+import pickle
+import model
+import argparse
+import pandas as pd
+import sklearn.metrics as metrics
+import numpy as np
+import initpath_ap
+import json
+initpath_ap.init_sys_path()
+import utilmlab
+import logging
+import os
+
+
+from rpy2.robjects import r
+import rpy2.robjects.numpy2ri
+import rpy2.robjects.packages as rpackages
+rpy2.robjects.numpy2ri.activate()
+
+
+def init_r_system():
+    r('require("missForest")')
+    r('require("MICE")')
+    r('require("EMB")')
+    r('require("Amelia")')
+    r('require("matrix_completion")')
+    r('require("softImpute")')
+
+
+def init_arg():
+    parser = argparse.ArgumentParser()
+    parser.add_argument("-i")
+    parser.add_argument("-o")
+    parser.add_argument("--startsample", type=int)
+    parser.add_argument("--target")
+    parser.add_argument("--model")
+    parser.add_argument(
+        "--separator",
+        default=',',
+        help="separator to use when writing to csv file")
+    parser.add_argument(
+        "--evaluate",
+        help="evaluate and write results to a json file")
+    return parser.parse_args()
+
+
+if __name__ == '__main__':
+
+    init_r_system()
+    
+    args = init_arg()
+    fn = args.model
+    fn_i = args.i
+    fn_o = args.o
+    lbl = args.target
+    fn_eva = args.evaluate
+    start_sample = args.startsample
+    sep = args.separator
+    
+    if fn_o is not None:
+        logger = utilmlab.init_logger(
+            os.path.dirname(fn_o),
+            'log_predict_ap.txt')
+    else:
+        logger = logging.getLogger()
+
+    eva = model.evaluate()
+    eva.set_metric('aucprc')
+
+    assert os.path.isfile(fn) and os.path.isfile(fn_i)
+    
+    with open(fn, "rb") as fp:
+        AP_mdl = pickle.load(fp)
+
+    df = pd.read_csv(fn_i, sep=sep)
+
+    if start_sample is not None:
+        df = df[start_sample:]
+    features = list(df.columns)
+    features.remove(lbl)
+    X_ = df[features]
+    Y_ = df[lbl]
+
+    Y_hat0, Y_hat1 = AP_mdl.predict(X_)
+
+    assert np.array_equal(Y_hat0, Y_hat1)
+
+    if fn_eva is not None:
+        eva_d = {
+            'aucroc': eva.roc_auc_score(Y_, Y_hat0),
+            'aucprc': eva.average_precision_score(Y_, Y_hat0),
+            'accuracy': eva.accuracy_score(Y_, None, Y_hat0)
+        }
+        logger.info('evaluation:{}'.format(eva_d))
+        with open(fn_eva, "w") as fp:
+            json.dump(eva_d, fp)
+        
+    if fn_o is not None:
+        logger.info('saving:{}'.format(fn_o))
+        df = pd.DataFrame(
+            Y_hat0,
+            columns=['{}_{}'.format(lbl, idx) for idx in range(Y_hat0.shape[1])])
+        df.to_csv(fn_o, sep=sep)
diff --git a/alg/autoprognosis/autoprognosis_report.py b/alg/autoprognosis/autoprognosis_report.py
new file mode 100644
index 00000000..5640975c
--- /dev/null
+++ b/alg/autoprognosis/autoprognosis_report.py
@@ -0,0 +1,160 @@
+import numpy as np
+import json
+import argparse
+from collections import defaultdict
+import initpath_ap
+initpath_ap.init_sys_path()
+import utilmlab
+
+
+def pretty_name(ky):
+    pretty_name_d = {
+        'best_score_single_clf': 'best score single clf (while fitting)',
+        'best_score_single_pipeline': 'best score single pipeline (while fitting)',
+        'ensemble_score': 'best ensemble score (while fittng)',
+        'classes': 'classes dataset'
+    }
+    return pretty_name_d[ky] if ky in pretty_name_d.keys() else ky
+
+
+def pretty_val(val):
+    return '{:0.3f}'.format(val) if isinstance(val, float) else val
+
+
+def generate_report(
+        logger,
+        score_d,
+        report_d,
+        clf_d,
+        verbose):
+
+    clf_pretty_name = {
+        'clf': 'classifier',
+        'clf_ens': 'ensemble'
+    }
+    score_pretty_name = {
+        'roc_lst': 'aucroc',
+        'prc_lst': 'aucprc'
+    }
+    logger.info('Score')
+    logger.info('')
+    for ky in ['clf', 'clf_ens']:
+        for ky1 in ['roc_lst', 'prc_lst']:
+            logger.info('{:15s} {} {:0.3f}'.format(
+                clf_pretty_name[ky],
+                score_pretty_name[ky1],
+                np.mean(score_d[ky][ky1])))
+    logger.info('')
+    logger.info('Report')
+    logger.info('')
+    for ky in report_d.keys():
+        if ky in ['kernel_members']:
+            for ky1 in report_d[ky]:
+                logger.info('{:45s} {} {}'.format(
+                    pretty_name(ky),
+                    pretty_name(ky1),
+                    pretty_val(report_d[ky][ky1])))
+        else:
+            logger.info('{:45s} {}'.format(
+                pretty_name(ky),
+                pretty_val(report_d[ky])))
+
+    eva_lst_all = list()
+    for ky in clf_d.keys():
+        for idx, lst in enumerate(clf_d[ky]):
+            for el in lst:
+                eva_lst_all.append((idx, el))
+
+    opt_metric = report_d['optimisation_metric']
+    logger.info(eva_lst_all[0])
+    logger.info('sort by {}'.format(opt_metric))
+    logger.info('# {}'.format(len(eva_lst_all)))
+    lst = sorted(
+        eva_lst_all, key=lambda el: el[1][opt_metric], reverse=True)
+    clf_hyper_d = defaultdict(list)
+    for el in lst:
+        ky = 'hyperparameter_properties'
+        if ky in el[1].keys():
+            hyper_par = el[1][ky]
+            model_par = str()
+            for el1 in hyper_par:
+                ky1 = 'hyperparameters'
+                if ky1 in el1.keys():
+                    hyper_par = el1[ky1]
+                    model_par += hyper_par['model']
+                else:
+                    model_par += el1['name']
+            if not verbose:
+                # if not verbose group performance clf by name not by parameters
+                model_par = el1['name']
+            clf_hyper_d[model_par].append(el)
+
+    logger.info('# {}'.format(len(clf_hyper_d.keys())))
+    clf_lst = list()
+    for el in clf_hyper_d.keys():
+        # logger.info('{}'.format(el))
+        aucroc_lst = list()
+        aucprc_lst = list()
+        for el1 in clf_hyper_d[el]:
+            if 'initial' in el1[1]['name']:
+                continue
+            aucprc_lst.append(el1[1]['aucprc'])
+            aucroc_lst.append(el1[1]['aucroc'])
+        # logger.info('{:50s} {} {:0.3f} {:0.3f}'.format(el, len(aucroc_lst), np.mean(aucroc_lst), np.mean(aucprc_lst)))
+        clf_lst.append((
+            el,
+            len(aucroc_lst),
+            np.mean(aucroc_lst),
+            np.mean(aucprc_lst)))
+
+    sort_ky_num = 2 if opt_metric == 'aucroc' else 3
+    
+    clf_lst = sorted(
+        clf_lst, key=lambda el: el[sort_ky_num], reverse=True)
+    logger.info('')
+    logger.info('Average performance per classifier (ignoring hyperparameters):')
+    logger.info('')
+    for idx, el in enumerate(clf_lst):
+        logger.info('{:3d} {:50s} {:3d} {:0.3f} {:0.3f}'.format(idx, el[0], el[1], el[2], el[3]))
+    logger.info('')
+        
+    if verbose:
+        for el in lst[:verbose]:
+            logger.info('{} {}'.format(el[0], el[1]))
+    
+
+def init_arg():
+    parser = argparse.ArgumentParser()
+    parser.add_argument(
+        '-i',
+        help='autoprognosis output directory with results')
+    parser.add_argument(
+        '--verbose',
+        type=int,
+        default=0,
+        help='if not 0 show performance clf grouped by hyperparameters, otherwise grouped by clf name'
+    )
+    return parser.parse_args()
+
+
+if '__main__' == __name__:
+    args = init_arg()
+    assert args.i is not None
+    odir = args.i
+    verbose = args.verbose
+    logger = utilmlab.init_logger(odir, "log_report_ap.txt")
+    fn_json = '{}/result.json'.format(odir)
+    with open(fn_json, "r") as fp:
+        score_d = json.load(fp)
+    fn_json = '{}/result_clf.json'.format(odir)
+    with open(fn_json, "r") as fp:
+        clf_d = json.load(fp)
+    fn_report_json = '{}/report.json'.format(odir)
+    with open(fn_report_json, "r") as fp:
+        report_d = json.load(fp)
+    generate_report(
+        logger,
+        score_d,
+        report_d,
+        clf_d,
+        verbose)
diff --git a/alg/autoprognosis/doc/AP_summary.pdf b/alg/autoprognosis/doc/AP_summary.pdf
new file mode 100644
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diff --git a/alg/autoprognosis/initpath_ap.py b/alg/autoprognosis/initpath_ap.py
new file mode 100644
index 00000000..f33a64cc
--- /dev/null
+++ b/alg/autoprognosis/initpath_ap.py
@@ -0,0 +1,13 @@
+
+def init_sys_path():
+    import os
+    import sys
+    proj_dir = os.path.abspath(
+        os.path.join(
+            os.path.join(
+                os.path.dirname(os.path.realpath(__file__)),
+                os.pardir),
+            os.pardir))
+    sys.path.append(os.path.join(proj_dir, 'init'))
+    import initpath
+    initpath.platform_init_path(proj_dir)
diff --git a/alg/autoprognosis/model.py b/alg/autoprognosis/model.py
new file mode 100644
index 00000000..75348ba1
--- /dev/null
+++ b/alg/autoprognosis/model.py
@@ -0,0 +1,1271 @@
+import numpy as np
+from sklearn.model_selection import StratifiedKFold
+from pivottablejs import pivot_ui
+import warnings
+import GPyOpt
+import GPy
+from IPython.display import Markdown, display, Image
+import logging
+import copy
+import time
+from tqdm import tnrange
+from models.imputers import missForest, matrix_completion, mean, median
+from models.imputers import most_frequent
+from models.classifiers import RandomForest, RandomForestClassifier
+from models.classifiers import GradientBoosting, GradientBoostingClassifier
+from models.classifiers import XGboost, Adaboost, Bagging, BernNaiveBayes
+from models.classifiers import BernoulliNB, GaussNaiveBayes
+from models.classifiers import MultinomialNaiveBayes, MultinomialNB
+from models.classifiers import LogisticReg
+from models.classifiers import Percept, DecisionTrees, DecisionTreeClassifier
+from models.classifiers import QDA_, LDA_, KNN, LinearSVM, NeuralNet
+from models.classifiers import classifier_set_xtr_arg, classifier_get_xtr_arg
+from models.preprocessors import Scaler, MinMaxScaler, UniformTransform
+from models.preprocessors import GaussianTransform, FeatureNormalizer
+from models.preprocessors import GaussProjection, PrincipalComponentAnalysis
+from pipelines.basePipeline import basePipeline
+import sys
+if not sys.warnoptions:
+    warnings.simplefilter("ignore")
+import initpath_ap
+initpath_ap.init_sys_path()
+import utilmlab
+
+
+def is_ipython():
+    try:
+        __IPYTHON__
+        return True
+    except NameError:
+        return False
+
+
+class evaluate:
+    ''' 
+    wrapper class: returns the score as set by the user.
+    '''
+    def __init__(self):
+
+        self.m_metric = None
+        self.m_metric_allowed = ['aucprc', 'aucroc']
+
+    def set_metric(self, metric):
+        
+        assert metric in self.m_metric_allowed
+        self.m_metric = metric
+
+    def get_metric(self):
+        assert self.m_metric is not None
+        return self.m_metric
+    
+    def score(self, y_test, y_pred, y_pred_proba):
+
+        assert y_test is not None
+        assert y_pred_proba is not None
+        if self.m_metric == 'aucprc':
+            score_val = self.average_precision_score(y_test, y_pred_proba)
+        elif self.m_metric == 'aucroc':
+            score_val = self.roc_auc_score(y_test, y_pred_proba)
+        else:
+            assert 0
+        logger.debug('evaluate:{:0.5f}'.format(score_val))
+        return score_val
+    
+    def score_proba(self, y_test, y_pred_proba):
+
+        assert y_test is not None
+        assert y_pred_proba is not None
+
+        return self.score(y_test, None, y_pred_proba)
+
+    def roc_auc_score(self, y_test, y_pred_proba):
+
+        return utilmlab.evaluate_auc(y_test, y_pred_proba)[0]
+    
+    def average_precision_score(self, y_test, y_pred_proba):
+
+        return utilmlab.evaluate_auc(y_test, y_pred_proba)[1]
+
+    def accuracy_score(self, y_true, y_pred, y_pred_proba):
+        y_hat = np.argmax(y_pred_proba, axis=1)
+        return sum(y_true == y_hat) / float(len(y_true))
+
+
+def set_xtr_arg(xtr):
+    global model_xtr_arg
+    model_xtr_arg = xtr
+    classifier_set_xtr_arg(xtr)
+
+
+def show_xtr_arg():
+    print(model_xtr_arg)
+    print(classifier_get_xtr_arg())
+    
+
+def get_xtr_arg():
+    return model_xtr_arg
+
+    
+def printmd(string):
+    global gis_ipython
+    if gis_ipython:
+        display(Markdown(string))
+    logger.info('{}'.format(string))
+
+
+class AutoPrognosis_Classifier:
+    
+    def __init__(
+            self,
+            CV=5,
+            num_iter=100,
+            kernel_freq=10,
+            ensemble=True,
+            ensemble_size=10,
+            Gibbs_iter=100,
+            burn_in=50,
+            num_components=3,
+            is_nan=True,
+            metric='aucroc',
+            acquisition_type='LCB',
+            **kwargs):
+
+        eva.set_metric(metric)
+        self.is_pred_proba = True
+        self.acquisition_type = acquisition_type
+        self.is_nan = is_nan
+        self.num_iter       = num_iter
+        self.x_opt          = 0
+        self.CV             = CV
+        
+        self.Gibbs_iter     = Gibbs_iter
+        self.burn_in        = burn_in
+        self.num_components = num_components
+        self.kernel_freq    = kernel_freq 
+        self.ensemble_size  = ensemble_size
+        self.ensemble       = ensemble
+
+        self.model_         = []
+        self.models_        = []
+        self.scores_        = []
+        
+        self.model_names    = ['Random Forest', 'Gradient Boosting', 'XGBoost', 'Adaboost', 'Bagging', 'Bernoulli Naive Bayes',
+                               'Gauss Naive Bayes', 'Multinomial Naive Bayes', 'Logistic Regression','Perceptron',
+                               'Decision Trees','QDA','LDA','KNN','Linear SVM', 'Neural Network']
+        
+        
+        self.initialize_hyperparameter_map()
+        self.name = 'autoprognosis_clf'
+        self.exe_start_time = time.time()
+        
+    def initialize_hyperparameter_map(self):
+        self.modind         = [0,1,2,3,4,5,7,8,9,10,13,14,15] # indexes of models with hyperparam
+        self.noHyp          = [6,11,12]                       # indexes of models without hyperparam
+        self.hypMAP         = [[1,2],[3,4,5],[6,7,8],[9,10],[11,12,13,14],[15],[],[16],
+                               [17,18,19],[20,21],[22],[],[],[23,24,25,26],[27],[28,29,30,31]]
+        
+    def get_model(self,dom_,comp_no,comp_map,x_next):
+        
+        imputers_ = [
+            [],
+            [missForest()],
+            [mean()],
+            [median()],
+            [most_frequent()]
+        ]
+        
+        preprocessors_= [
+            [],
+            [MinMaxScaler()],
+            [UniformTransform()],
+            [PrincipalComponentAnalysis()]
+        ]
+
+        if get_xtr_arg() < 1:
+
+            imputers_.append([matrix_completion()])
+            
+            # WA: bagging with base estimator cannot handle negative values
+            preprocessors_.append([Scaler()])
+            preprocessors_.append([GaussProjection()])
+            preprocessors_.append([GaussianTransform()])
+            preprocessors_.append([FeatureNormalizer()])
+
+            
+        select_imp = np.random.randint(
+            1 if self.is_nan else 0,
+            len(imputers_)-1)
+        select_pre = np.random.randint(0, len(preprocessors_)-1)        
+        
+        # Create hyper-parameter dictionary
+        #----------------------------------
+        base_     = [DecisionTreeClassifier(), RandomForestClassifier(), BernoulliNB(), MultinomialNB(), 
+                     GradientBoostingClassifier()]
+        LR_solvs  = ['newton-cg', 'lbfgs', 'liblinear', 'sag', 'saga']
+        ppens     = ['l2','l1','elasticnet']
+        dtcr      = ['gini','entropy']
+        knnalgs   = ['auto','ball_tree','kd_tree','brute']
+        knnwgs    = ['uniform','distance']
+        svmpen    = ['l2','l1']
+        nnsolvers = ['lbfgs','sgd','adam']
+        nnactiv   = ['identity','logistic','tanh','relu']
+        crit_     = ['gini','entropy']
+        
+        # Unpack model names
+        #----------------------------------            
+        domain_list = [dom_[k]['name'] for k in range(len(dom_))]
+        pivot_ = domain_list.index('classifier')
+        mdl_index = comp_map[comp_no][int(x_next[pivot_])]
+
+        # Create a list of model instantiations
+        #--------------------------------------
+        if mdl_index==0:
+    
+            model = RandomForest(n_estimators=int(x_next[domain_list.index('RandomForest.ntrees')]),
+                                 criterion=crit_[int(x_next[domain_list.index('RandomForest.criterion')])])
+        
+        elif mdl_index==1:
+            
+            model = GradientBoosting(n_estimators=int(x_next[domain_list.index('GradientBoosting.n_estimators')]),
+                                     learning_rate=x_next[domain_list.index('GradientBoosting.learning_rate')],
+                                     max_depth=int(x_next[domain_list.index('GradientBoosting.max_depth')]))
+        
+        elif mdl_index==2:
+            
+            model = XGboost(n_estimators=int(x_next[domain_list.index('XGboost.n_estimators')]),       
+                            learning_rate=x_next[domain_list.index('XGboost.learning_rate')],
+                            max_depth=int(x_next[domain_list.index('XGboost.max_depth')]))
+            
+        elif mdl_index==3:
+            
+            model = Adaboost(n_estimators=int(x_next[domain_list.index('Adaboost.n_estimators')]),
+                             learning_rate=x_next[domain_list.index('Adaboost.learning_rate')])
+            
+        elif mdl_index==4:
+            
+            model = Bagging(n_estimators=int(x_next[domain_list.index('Bagging.n_estimators')]),
+                            max_samples=x_next[domain_list.index('Bagging.max_samples')],
+                            max_features=1.0,#x_next[domain_list.index('Bagging.max_features')],
+                            base_estimator=base_[int(x_next[domain_list.index('Bagging.base_estimator')])])
+            
+        elif mdl_index==5:
+            
+            model = BernNaiveBayes(alpha=x_next[domain_list.index('BernoullinNaiveBayes.alpha')]) 
+            
+        elif mdl_index==6:
+            
+            model = GaussNaiveBayes()
+            
+        elif mdl_index==7:
+            
+            model = MultinomialNaiveBayes(alpha=x_next[domain_list.index('MultinomialNaiveBayes.alpha')])
+            
+        elif mdl_index==8:
+            
+            model = LogisticReg(C=x_next[domain_list.index('LogisticRegression.C')],
+                                solver=LR_solvs[int(x_next[domain_list.index('LogisticRegression.solver')])],
+                                max_iter=int(x_next[domain_list.index('LogisticRegression.max_iter')]))
+            
+        elif mdl_index==9:
+            
+            model = Percept(alpha=x_next[domain_list.index('Perceptron.alpha')],
+                            penalty=ppens[int(x_next[domain_list.index('Perceptron.penalty')])])     
+            
+        elif mdl_index==10:
+            
+            model = DecisionTrees(criterion=dtcr[int(x_next[domain_list.index('DecisionTrees.criterion')])])
+            
+        elif mdl_index==11:
+            
+            model = QDA_() 
+
+        elif mdl_index==12:
+            
+            model = LDA_()
+
+        elif mdl_index==13:
+            
+            model = KNN(p=int(x_next[domain_list.index('KNN.p')]),
+                        algorithm=knnalgs[int(x_next[domain_list.index('KNN.algorithm')])],
+                        weights=knnwgs[int(x_next[domain_list.index('KNN.weights')])],
+                        n_neighbors=int(x_next[domain_list.index('KNN.n_neighbors')]))
+            
+        elif mdl_index==14:
+            
+            model = LinearSVM(penalty=svmpen[int(x_next[domain_list.index('LinearSVM.penalty')])])
+
+        elif mdl_index==15:
+            
+            model = NeuralNet(num_layers=int(x_next[domain_list.index('NeuralNet.num_layers')]),
+                              num_units=int(x_next[domain_list.index('NeuralNet.num_units')]),
+                              solver=nnsolvers[int(x_next[domain_list.index('NeuralNet.solver')])],
+                              activation=nnactiv[int(x_next[domain_list.index('NeuralNet.activation')])])
+        
+        model_list_base = imputers_[select_imp] + preprocessors_[select_pre] + [model]
+
+        if nmax_model:
+            model_list = model_list_base[-nmax_model:]
+        else:
+            # auto
+            model_list = list()
+            if self.is_nan:
+                model_list.append(model_list_base[0]) # add imputer
+            model_list.append(model_list_base[-1]) # add clf
+            
+        model = basePipeline(model_list=model_list)
+        return model
+    
+    
+    def get_opt_domain(self):
+
+        assert 0
+        
+        # Define domains for classifier sets
+        base_models_ = [RandomForest(),GradientBoosting(),XGboost(),Adaboost(),Bagging(),BernNaiveBayes(),
+                        GaussNaiveBayes(),MultinomialNaiveBayes(),LogisticReg(),Percept(),DecisionTrees(),
+                        QDA_(),LDA_(),KNN(),LinearSVM(),NeuralNet()]
+        
+        domain_      = [{'name': 'classifier', 'type': 'categorical', 
+                         'domain': (0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15),'dimensionality': 1}]
+        
+        for bmodel_ in base_models_:
+            domain_  = domain_ + bmodel_.get_hyperparameter_space()
+
+        dim_         = len(domain_)
+    
+        return domain_, dim_
+    
+    
+    def evaluate_CV_objective(self, X_in, Y_in, modraw_):
+        
+        mod_back = modraw_
+
+        #mod_back.fit(X_in, Y_in)
+
+        rval_eva = evaluate_clf(X_in.copy(), Y_in.copy(), copy.deepcopy(modraw_), n_folds = self.CV)
+        logger.info('CV_objective:{}'.format(rval_eva))
+        f = -1*rval_eva[0][0]
+        return f, mod_back, rval_eva[1]
+  
+    #----------------------
+    
+    def load_initial_model(self):
+        # [RF 0 (1,2),GBM 1 (3,4,5),XGB 2 (6,7,8),Ada 3 (9,10),Bag 4 (11,12,13,14), BNB 5 (15), 
+        # GNB 6 [], MNB 7 (16), LR 8 (17,18,19), Perc 9 (20,21), DT 10 (22), QDA_ 11 (),
+        # LDA_ 12 (), KNN 13 (23,24,25,26), LSVM 14 (27), NN 15 (28,29,30,31)]
+        
+        init_assigns = [[1,0,0],[1,0,0],[1,0,0],[1,0,0],[1,0,0],[1,0,0],[1,0,0],[1,0,0],
+                        [0,1,0],[0,1,0],[0,1,0],[0,1,0],[0,1,0],[0,1,0],[0,1,0],[0,1,0],
+                        [0,0,1],[0,0,1],[0,0,1],[0,0,1],[0,0,1],[0,0,1],[0,0,1],[0,0,1],[0,0,1],[0,0,1],[0,0,1],
+                        [0,1,0],[0,1,0],[0,1,0],[0,1,0]]
+        
+        X_inits      = [np.array([[1,100,6,0.1,100,6,0.1,100,0,2,100,0,0]]),
+                        np.array([[0,1,1,100,1,1,0,100,1]]),
+                        np.array([[0,1,0,0,0,30,0,1,0,1,0,100]])]
+        
+        return X_inits, init_assigns  
+    
+    def BO_(self,domains_,X_step,Y_step):
+        
+        bo_steps = []
+        x_next   = []
+        GP_      = []
+        
+        for u in range(len(domains_)):
+            
+            # GPyOpt.methods.BayesianOptimization(
+            #     None,
+            #     domain=domains_[u],
+            #     X=X_step[u],
+            #     Y=Y_step[u],
+            #     acquisition_type='LCB')
+
+            bo_steps.append(GPyOpt.methods.BayesianOptimization(
+                f=None, domain=domains_[u], X=X_step[u],
+                Y=Y_step[u],
+                acquisition_type=self.acquisition_type,
+                model_type='GP', exact_feval=True,
+                cost_withGradients=None
+            ))
+
+            x_next.append(bo_steps[-1].suggest_next_locations()[0])
+            GP_.append(bo_steps[-1].model.model)
+
+        return x_next, GP_
+    
+    
+    def BO_ens(self,domains_,X_step,Y_step,constr_):
+        
+        bo_steps = []
+        x_next   = []
+        GP_      = []
+        
+        for u in range(len(domains_)):
+
+            bo_steps.append(GPyOpt.methods.BayesianOptimization(
+                f=None,
+                domain=domains_[u],
+                constraints=constr_, 
+                X=X_step[u],
+                Y=Y_step[u],
+                acquisition_type=self.acquisition_type, 
+                model_type='GP',
+                exact_feval=True,
+                cost_withGradients=None
+            ))
+            
+            x_next.append(bo_steps[-1].suggest_next_locations()[0])
+            GP_.append(bo_steps[-1].model.model)    
+        
+        return x_next, GP_
+    
+    def fit(self, X, Y):
+
+        # -------------------------------------------
+        # Initial decomposition and hyper-parameters
+        # -------------------------------------------
+        X_inits, self._assigns          = self.load_initial_model()
+        domains_, dummy_, self.compons_ = get_clustered_domains(self.modind,self.hypMAP,self.noHyp,self._assigns)
+        self.domains_                   = domains_
+
+        # -------------------------------------------
+        # Obtain initial BO objective
+        # -------------------------------------------
+        Y_inits      = [np.array([self.evaluate_CV_objective(X.copy(), Y.copy(), self.get_model(domains_[k],k,self.compons_,X_inits[k][0]))[0]]).reshape((1,1)) for k in range(len(X_inits))] 
+        
+        X_step       = X_inits
+        Y_step       = Y_inits
+        self.scores_ = list(Y_inits[0])
+
+        eva_prop_ = list([{
+            'name': 'initial',
+            eva.get_metric(): -float(self.scores_[0])
+        }])  # element 0
+
+        assert len(self.scores_) == len(eva_prop_)
+        
+        # -------------------------------------------
+        # Initialize BO iterations counter
+        # -------------------------------------------        
+        current_iter = 0
+
+        time_start_fit = time.time()
+        assert len(self.model_) == 0
+        for i in tnrange(self.num_iter, desc='BO progress'):
+            x_next, GP_ = self.BO_(self.domains_,X_step,Y_step)
+            self.GP_    = GP_
+            y_next      = []
+            for u in range(self.num_components):
+
+                self.models_.append(self.get_model(self.domains_[u],u,self.compons_,x_next[u]))
+                rval_model = self.get_model(self.domains_[u],u,self.compons_,x_next[u])
+
+                y_next_, modb_, eva_prp = self.evaluate_CV_objective(X.copy(), Y.copy(), rval_model)
+
+                eva_prp['iter'] = current_iter
+                eva_prp['component_idx'] = u
+                eva_prp['hyperparameter_properties'] = rval_model.get_properties()
+                eva_prp['model'] = str(rval_model)
+
+                y_next.append(y_next_)
+                
+                self.models_.append(modb_)
+                
+                X_step[u] = np.vstack((X_step[u], x_next[u]))
+                Y_step[u] = np.vstack((Y_step[u], y_next_))
+                self.scores_.append(y_next_) 
+                eva_prop_.append(eva_prp)
+                assert len(self.scores_) == len(eva_prop_)
+            current_iter += 1
+
+            time_fit = time.time() - time_start_fit
+            time_fold = (self.num_iter) * (time_fit/current_iter)
+            time_iter_info = '{:0.0f}s ({:0.0f}s) ({:0.0f}s)'.format(
+                time_fit,
+                time_fit/current_iter,
+                time_fold)
+            
+            ### Update Kernel
+
+            if (np.mod(i,self.kernel_freq) == 0) and (i != 0):
+                
+                msg_  = "Iteration number: " + str(current_iter) + " " + time_iter_info + " ||--------------------------- ** Updating kernel ** ---------------------------||                                      "  
+
+                logger.warning('{}'.format(msg_))
+                
+                self.merged_domain_, self.X_merged, self.Y_merged = merge_domains(self.domains_, X_step, Y_step, self.compons_)
+                Decomposed_kern, Gposter_                         = self.Kernel_decomposition([self.X_merged], [self.Y_merged], [self.merged_domain_])            
+                self.Gposter_                                     = Gposter_
+                self.kernel_merged_domain_                        = self.merged_domain_
+                self.domains_ , dummy_dims, self.compons_         = get_clustered_domains(self.modind, self.hypMAP, self.noHyp, Gposter_)
+                X_step, Y_step                                    = split_domain(self.domains_, self.merged_domain_, self.compons_, self.X_merged, self.Y_merged)
+                self.X_step  = X_step
+                self.Y_step  = Y_step
+                
+            ##########
+            
+            else:
+
+                display_msg = " "
+            
+                for u in range(self.num_components):
+                
+                    display_msg = display_msg + "[[" + self.get_model(self.domains_[u],u,self.compons_,x_next[u]).name + "]]" + ", " 
+                
+                best_ = str(np.min(np.array([np.min(self.GP_[u].Y) for u in range(self.num_components)]))) 
+            
+                msg_  = "Iteration number: " + str(current_iter) + " " + time_iter_info + ", Current pipelines: " + display_msg  + "BO objective: " + str(best_)
+
+                logger.warning('{}'.format(msg_))
+
+        self.X_step  = X_step
+        self.Y_step  = Y_step
+
+        #self.x_opts_ = [X_step[u][np.argmin(self.GP_[u].Y)] for u in range(self.num_components)]
+        #self.y_opts_ = np.array([np.min(self.GP_[u].Y) for u in range(self.num_components)])
+        #best_comp    = np.argmin(self.y_opts_)
+        #self.x_opt   = self.x_opts_[best_comp]
+        
+        #self.model = self.get_model(self.domains_[best_comp],best_comp,self.compons_,self.x_opt)
+        
+        self.merged_domain_, self.X_merged, self.Y_merged = merge_domains(self.domains_, X_step, Y_step, self.compons_)
+        dummy_x, final_GPmodel                            = self.BO_([self.merged_domain_],[self.X_merged], [self.Y_merged])
+        self.GPmodel_                                     = final_GPmodel
+        self.x_opt                                        = self.X_merged[np.argmin(final_GPmodel[0].Y)]
+        self.model = self.get_model(self.merged_domain_, 0, [list(range(len(self.modind)+len(self.noHyp)))], self.x_opt)
+        
+        
+        printmd("\r{0}".format("**The best model is: **"+self.model.name))
+        self.model.fit(X.copy(), Y.copy())
+        
+        if self.ensemble:
+            self.ensemble_score = 0
+            printmd("\r{0}".format(" |||| Now building the ensemble..."))
+            self.ensemble_models, self.ensemble_weights = self.get_ensemble_(X.copy(), Y.copy(), CV_=5)
+            #self.ensemble_models, self.ensemble_weights = self.build_ensemble_(X, Y, CV_=5)
+
+            printmd("\r{0}".format("**Ensemble: **"+ str([self.ensemble_models[k].name for k in range(len(self.ensemble_models))])))
+            printmd("\r{0}".format("**Ensemble weights: **"+ str(self.ensemble_weights))) 
+            
+            best_score      = float(np.min(np.array(self.scores_)))
+
+            logger.info('score:{:0.3f} {} ensemble score:{} {}'.format(
+                best_score,
+                self.model.name,
+                str(self.ensemble_score),
+                str([self.ensemble_models[k].name for k in range(len(self.ensemble_models))])))
+
+            if self.ensemble_score < best_score:
+                
+                printmd("\r{0}".format("**The ensemble helps!**"))
+            
+            else:  
+                
+                printmd("\r{0}".format("**The ensemble did not help.**"))
+        return eva_prop_
+    #----------------------    
+        
+    def predict(self,X):
+
+        pred      = self.model.predict(X)
+
+        #W         = self.get_weights()
+        #bigpreds_ = [self.models_[k].predict(X)*W[k] for k in range(self.num_iter)] 
+        pred_ens  = pred#np.sum(np.array(bigpreds_),axis=0) 
+
+        return pred, pred_ens
+    
+    #----------------------
+    
+    def get_ensemble(self,X_, Y_label):
+    
+        ensemble_size  = self.ensemble_size 
+        BO_num_iter    = 30
+        x_opts_        = self.X_merged[np.argsort(np.array(self.GPmodel_[0].Y),axis=0)[0:ensemble_size]]
+    
+        pulled_models_ = [self.get_model(self.merged_domain_, 0, [list(range(len(self.modind)+len(self.noHyp)))], x_opts_[mm_].reshape(x_opts_[mm_].shape[1],)) for mm_ in range(len(x_opts_))]
+
+        for k in range(len(pulled_models_)): 
+
+            pulled_models_[k].fit(X_.copy(),Y_label)
+    
+    
+        ens_domain     = [{'name': 'W'+str(k), 'type': 'continuous', 'domain': (0,1),'dimensionality': 1} for k in range(ensemble_size)]
+    
+    
+        X_inits      = (1/ensemble_size)*np.ones((1,ensemble_size))
+        assert 0
+        Y_inits      = evaluate_ensemble(X_, Y_label, pulled_models_, X_inits, 'AUC')         
+        X_step_ens   = X_inits
+        Y_step_ens   = np.array([Y_inits]).reshape(1,1)
+        y_next       = []
+
+        for i in range(BO_num_iter):
+     
+            x_next, GP_ens = self.BO_([ens_domain], [X_step_ens], [Y_step_ens])
+            x_next         = x_next/np.sum(x_next)
+            y_next_        = evaluate_ensemble(X_, Y_label, pulled_models_, x_next, 'AUC')
+            y_next.append(y_next_)                  
+            X_step_ens = np.vstack((X_step_ens, x_next))
+            Y_step_ens = np.vstack((Y_step_ens, y_next_))
+            
+
+        ensemble_weights = X_step_ens[np.argmin(GP_ens[0].Y)]       
+    
+        return pulled_models_, ensemble_weights 
+    
+    def get_ensemble_(self,X_, Y_label, CV_):
+    
+        ensemble_size  = self.ensemble_size 
+        BO_num_iter    = 30
+        x_opts_        = self.X_merged[np.argsort(np.array(self.GPmodel_[0].Y),axis=0)[0:ensemble_size]]
+    
+        ens_models_    = [self.get_model(self.merged_domain_, 0, [list(range(len(self.modind)+len(self.noHyp)))], x_opts_[mm_].reshape(x_opts_[mm_].shape[1],)) for mm_ in range(len(x_opts_))]
+        pulled_models_ = [[self.get_model(self.merged_domain_, 0, [list(range(len(self.modind)+len(self.noHyp)))], x_opts_[mm_].reshape(x_opts_[mm_].shape[1],))]*CV_ for mm_ in range(len(x_opts_))]
+        skf_           = StratifiedKFold(n_splits=CV_) 
+        X_test_        = []
+        Y_test_        = []
+        X_train_       = []
+        Y_train_       = []
+                
+        for train_index, test_index in skf_.split(X_, Y_label):
+            
+            X_train_.append(X_.loc[X_.index[train_index]])
+            Y_train_.append(Y_label.loc[Y_label.index[train_index]])
+            X_test_.append(X_.loc[X_.index[test_index]])
+            Y_test_.append(Y_label.loc[Y_label.index[test_index]])
+        
+        for k in range(len(pulled_models_)):
+            
+            ens_models_[k].fit(X_.copy(), Y_label.copy())
+            ee            = 0
+            pulled_models_init = list()
+            for idx in range(CV_):
+                pulled_models_init.append(copy.deepcopy(pulled_models_[k][idx]))
+            for uu in range(CV_):
+                # ee            = 0
+                pulled_models_[k][uu] = pulled_models_init[uu]
+                pulled_models_[k][uu].fit(X_train_[uu].copy(),Y_train_[uu].copy())
+                ee           += 1
+        
+        ens_domain     = [{'name': 'W'+str(k), 'type': 'continuous', 'domain': (0,1),'dimensionality': 1} for k in range(ensemble_size)]
+    
+    
+        X_inits      = (1/ensemble_size)*np.ones((1,ensemble_size))
+        Y_inits      = evaluate_ensemble_(X_test_, Y_test_, pulled_models_, X_inits, 'AUC')         
+        X_step_ens   = X_inits
+        Y_step_ens   = np.array([Y_inits]).reshape(1,1)
+        y_next       = [Y_inits]
+
+        for i in range(BO_num_iter):
+            x_next, GP_ens = self.BO_([ens_domain], [X_step_ens], [Y_step_ens])
+            x_next         = x_next/np.sum(x_next)
+            y_next_        = evaluate_ensemble_(X_test_, Y_test_, pulled_models_, x_next, 'AUC')
+            y_next.append(y_next_)                  
+            X_step_ens = np.vstack((X_step_ens, x_next))
+            Y_step_ens = np.vstack((Y_step_ens, y_next_))
+        
+        self.ensemble_score = np.min(np.array(y_next))
+        ensemble_weights    = X_step_ens[np.argmin(GP_ens[0].Y)]
+
+        return ens_models_, ensemble_weights 
+    
+    
+    def build_ensemble_(self,X_, Y_label, CV_):
+    
+        ensemble_size  = self.ensemble_size 
+        BO_num_iter    = 50
+        #x_opts_        = self.X_merged[np.unique(np.argsort(np.array(self.GPmodel_[0].Y),axis=0),return_index=True)[1][0:ensemble_size]]    
+        
+        x_opts_        = self.X_merged[np.argsort(np.array(self.GPmodel_[0].Y),axis=0)[0:ensemble_size]]    
+    
+        ens_models_    = [self.get_model(self.merged_domain_, 0, [list(range(len(self.modind)+len(self.noHyp)))], x_opts_[mm_].reshape(x_opts_[mm_].shape[1],)) for mm_ in range(len(x_opts_))]
+        pulled_models_ = [[self.get_model(self.merged_domain_, 0, [list(range(len(self.modind)+len(self.noHyp)))], x_opts_[mm_].reshape(x_opts_[mm_].shape[1],))]*CV_ for mm_ in range(len(x_opts_))]
+        
+        #ens_models_    = [self.get_model(self.merged_domain_, 0, [list(range(len(self.modind)+len(self.noHyp)))], x_opts_[mm_]) for mm_ in range(len(x_opts_))]
+        #pulled_models_ = [[self.get_model(self.merged_domain_, 0, [list(range(len(self.modind)+len(self.noHyp)))], x_opts_[mm_])]*CV_ for mm_ in range(len(x_opts_))]
+        skf_           = StratifiedKFold(n_splits=CV_) 
+        X_test_        = []
+        Y_test_        = []
+        X_train_       = []
+        Y_train_       = []
+                
+        for train_index, test_index in skf_.split(X_, Y_label):
+            
+            X_train_.append(X_.loc[X_.index[train_index]])
+            Y_train_.append(Y_label.loc[Y_label.index[train_index]])
+            X_test_.append(X_.loc[X_.index[test_index]])
+            Y_test_.append(Y_label.loc[Y_label.index[test_index]])
+        
+        for k in range(len(pulled_models_)):
+            
+            ens_models_[k].fit(X_, Y_label)
+            
+            for uu in range(CV_):
+                ee            = 0
+                pulled_models_[k][ee].fit(X_train_[ee],Y_train_[ee])
+                ee           += 1
+        
+        ens_domain     = [{'name': 'W'+str(k), 'type': 'continuous', 'domain': (0,1),'dimensionality': 1} for k in range(ensemble_size)]
+    
+    
+        X_inits      = (1/ensemble_size)*np.ones((1,ensemble_size))
+        Y_inits      = evaluate_ensemble_(X_test_, Y_test_, pulled_models_, X_inits, 'AUC')         
+        X_step_ens   = X_inits
+        Y_step_ens   = np.array([Y_inits]).reshape(1,1)
+        y_next       = []
+
+        for i in range(BO_num_iter):
+            x_next, GP_ens = self.BO_ens([ens_domain], [X_step_ens], [Y_step_ens], get_ensemble_constraints(ensemble_size))
+            x_next         = x_next/np.sum(x_next)
+            y_next_        = evaluate_ensemble_(X_test_.copy(), Y_test_.copy(), pulled_models_, x_next, 'AUC')
+            y_next.append(y_next_)                  
+            X_step_ens = np.vstack((X_step_ens, x_next))
+            Y_step_ens = np.vstack((Y_step_ens, y_next_))
+             
+        ensemble_weights    = X_step_ens[np.argmin(GP_ens[0].Y)]       
+    
+        return ens_models_, ensemble_weights 
+    
+
+    def get_weights(self):
+    
+        #mu_   = self.GP_.model.model.predict(self.GP_.model.model.X)[0]
+        #vr_   = self.GP_.model.model.predict(self.GP_.model.model.X)[1]
+
+        #M_    = -np.repeat(mu_, len(mu_), axis=1) + np.transpose(np.repeat(mu_, len(mu_), axis=1))
+        #V_    = np.sqrt(np.repeat(vr_, len(vr_), axis=1) + np.transpose(np.repeat(vr_, len(vr_), axis=1)))
+        #Args_ = norm.cdf(np.divide(M_,V_))
+        #W_    = [np.prod(Args_[u, [x for x in range(len(Args_[u,:])) if x != u]]) for u in range(len(Args_))] 
+        W     = np.array([-1*(self.scores_[k]<0)*self.scores_[k] for k in range(len(self.scores_))])
+        W_    = (W-np.min(W))/np.sum((W-np.min(W)))
+
+        return W_
+    
+    
+    def Kernel_decomposition(self,dataX,dataY,domn_):
+
+        num_hyperparams  = len(domn_[0])-1
+        M                = self.num_components
+        alphas_          = [10]*M
+        init_assign      = [np.argmax(self._assigns[k])+1 for k in range(len(self._assigns))]
+        Late_assign      = [init_assign]
+        Gibbs_iters      = self.Gibbs_iter
+        Burn_in          = self.burn_in 
+        GibbsPoster      = []
+    
+        dummy_x, GPmodel = self.BO_(domn_, dataX, dataY)
+        
+        for g in range(Gibbs_iters):
+            for h in range(num_hyperparams):
+                Gumbel_dummy          = np.random.gumbel(size=M)
+                Temp_assigns          = np.repeat(np.array(Late_assign[-1]), M, axis=0).reshape(num_hyperparams,M).T
+                Temp_assigns[:,h]     = np.array(list(range(M)))+1
+                Gram_matxs            = [get_GPy_logLikelhood(dataX[0],dataY[0],get_Gibbs_kernel_(GPmodel[0], M, list(Temp_assigns[m,:]))) for m in range(M)]
+                A_m                   = [[np.sum((Temp_assigns[k,:]==m+1)*1) for m in range(M)] for k in range(M)]
+                Gumbal_max_vec        = Gumbel_dummy + Gram_matxs + 0.5*(num_hyperparams+1)*np.log(2*np.pi) + np.log(np.diag(np.matrix(A_m))+alphas_)  
+                z_assign              = np.argmax(Gumbal_max_vec) 
+                Temp_Late_assign      = Late_assign[-1].copy()
+                Temp_Late_assign[h]   = z_assign + 1
+                Late_assign.append(Temp_Late_assign)
+            
+        Late_assign_      = Late_assign[Burn_in:][::num_hyperparams]        
+        GibbsPoster       = [[len(np.where(np.array(Late_assign_)[:,k]==m+1)[0])/len(np.array(Late_assign_)[:,k]) for m in range(M)] for k in range(num_hyperparams)]
+    
+        final_assignments = [int(np.argmax(np.array(GibbsPoster[u]))+1) for u in range(len(GibbsPoster))]
+        M_                = len(np.unique(final_assignments))
+        Decomposed_kern   = get_Gibbs_kernel_(GPmodel[0],M_,final_assignments) 
+    
+        return Decomposed_kern, GibbsPoster
+        
+        # Visualization
+        
+    def visualize_data(self,X):
+            
+        return pivot_ui(X)
+        
+    def APReport(self):
+
+        report_d = dict()
+        
+        best_score = float(np.min(np.array(self.scores_)))
+
+        report_d['best_score_single_pipeline'] = -best_score
+        report_d['model_names_single_pipeline'] = self.model.name
+        report_d['ensemble_score'] = -float(self.ensemble_score)
+        report_d['ensemble_pipelines'] = [self.ensemble_models[u].name for u in range(self.ensemble_size)]
+        report_d['ensemble_pipelines_weight'] = [self.ensemble_weights[u] for u in range(self.ensemble_size)]
+        report_d['optimisation_metric'] = eva.get_metric()
+        report_d['hyperparameter_properties'] = self.model.get_properties()
+        report_d['acquisition_type'] = self.acquisition_type
+
+        logger.info('score:{:0.3f} {} ensemble score:{:0.3f} {}'.format(
+            best_score,
+            self.model.name,
+            self.ensemble_score,
+            str([self.ensemble_models[k].name for k in range(len(self.ensemble_models))])))
+
+        if self.ensemble_score < best_score:
+            logger.info("**The ensemble helps!**")
+        else:  
+            logger.info("**The ensemble did not help.**")
+
+        printmd("\r{0}".format("***Ensemble Report***"))
+        printmd("\r{0}".format("**----------------------**"))
+    
+        for u in range(self.ensemble_size):
+        
+            printmd("\r{0}".format("**Rank"+ str(u) +":   "+ self.ensemble_models[u].name+",   Ensemble weight: "+ str(self.ensemble_weights[u]) +"**")) # print picture and colored text
+            printmd("\r{0}".format("**----------------------**"))
+            print(self.ensemble_models[u].__dict__)
+            logger.info('ensemble_models dict:{}'.format(self.ensemble_models[u].__dict__))
+            printmd("\r{0}".format("**_____________________________________________**"))
+            printmd("\r{0}".format(self.ensemble_models[u].explained))
+            if self.ensemble_models[u].image_name is not None:
+                i = Image(filename=self.ensemble_models[u].image_name,width=self.ensemble_models[u].image_size[0],height=self.ensemble_models[u].image_size[1])
+                display(i,width=self.ensemble_models[u].image_size[0],height=self.ensemble_models[u].image_size[1])
+            else:
+                logger.debug('warning:no image_name')
+
+        printmd("\r{0}".format("**----------------------**"))
+        printmd("\r{0}".format("***Kernel Report***"))
+
+        report_d['kernel_members'] = dict()
+        for k in range(self.num_components):
+            report_d['kernel_members'][k] = [self.model_names[self.compons_[k][m]] for m in range(len(self.compons_[k]))]
+            printmd("\r{0}".format("**Component"+" "+str(k)+"**"))
+            printmd("\r{0}".format("**Members:"+" "+str([self.model_names[self.compons_[k][m]] for m in range(len(self.compons_[k]))])+"**")) 
+            print(self.GP_[k].kern)
+            logger.info('GP kern:{}'.format(self.GP_[k].kern))
+        return report_d
+
+
+# In[141]:
+
+def predict_ens(X, models_, W):
+        
+    bigpreds_ = [models_[k].predict(X)*W[0][k] for k in range(len(models_))] 
+    pred_ens  = np.sum(np.array(bigpreds_),axis=0) 
+
+    return pred_ens
+
+def evaluate_ensemble(X, Y, models_, W, metric):
+
+    assert 0
+    
+    score_ens = -1*roc_auc_score(Y,predict_ens(X, models_, W)) 
+    
+    return score_ens
+    
+    #----------------------
+def predict_ens_(X, models_, W):
+
+    # logger.info('predict_ens_{}'.format(models_))
+    # for k in range(len(models_)):
+    #     pred = models_[k].predict(X)
+    #     logger.info('pred {}'.format(pred.shape))
+    #     logger.info('W0 {}'.format(W[0]))
+    
+    bigpreds_ = [models_[k].predict(X)*W[0][k] for k in range(len(models_))] 
+    pred_ens  = np.sum(np.array(bigpreds_),axis=0) 
+
+    return pred_ens
+
+def evaluate_ensemble_(X, Y, models_, W, metric):
+
+    logger.info('evaluate_ensemble_ {} w:{}'.format(metric, W))
+    
+    pulmodels_ = [[models_[k][m] for k in range(len(models_))] for m in range(len(models_[0]))]
+    score_ens_roc       = np.mean(np.array([-1*eva.roc_auc_score  (np.array(Y[m]).reshape((len(Y[m]),1)),predict_ens_(X[m], pulmodels_[m], W)) for m in range(len(pulmodels_))]))
+    score_ens_metric    = np.mean(np.array([-1*eva.score_proba(np.array(Y[m]).reshape((len(Y[m]),1)),predict_ens_(X[m], pulmodels_[m], W)) for m in range(len(pulmodels_))])) 
+    if False:
+        logger.info('old score (roc)')
+        score_ens  = score_ens_roc
+    else:
+        logger.info('new score (via cli)')
+        score_ens  = score_ens_metric
+    logger.info('-evaluate_ensemble_ {:0.4f} {:0.4f} {:0.4f}'.format(score_ens, score_ens_roc, score_ens_metric))
+    return score_ens
+    
+    #----------------------   
+    
+def get_ensemble_constraints(ens_size):
+    
+    
+    stems_ = 'x[:,0]'
+
+    for uu_ in range(ens_size-1):
+    
+        stems_ = stems_ + ' + x[:,' + str(uu_+1) + ']'
+
+    cnstrs_ = '(' + stems_ + ')' 
+    
+
+    ens_constraints = [{'name': 'constr_1','constraint': cnstrs_ + ' - 1 - 0.0001'},
+                       {'name': 'constr_2','constraint': '1 - ' + cnstrs_ + ' - 0.0001'}]
+
+    return ens_constraints
+    
+
+def evaluate_clf(X, Y, model_input, n_folds, visualize=False):
+
+    metric_      = np.zeros(n_folds)
+    indx         = 0
+    skf          = StratifiedKFold(n_splits=n_folds)
+    
+    score_roc_lst = list()
+    score_prc_lst = list()
+
+    is_pred_proba = True
+    
+    if hasattr(model_input, 'get_is_pred_proba'):
+        is_pred_proba = model_input.get_is_pred_proba()
+
+    for train_index, test_index in skf.split(X, Y):
+
+        X_train  = X.loc[X.index[train_index]].copy()
+        Y_train  = Y.loc[Y.index[train_index]].copy()
+        X_test   = X.loc[X.index[test_index]].copy()
+        Y_test   = Y.loc[Y.index[test_index]].copy()
+
+        assert set(Y_train) == set(Y_test)
+        nnan = 0
+
+        model = copy.deepcopy(model_input)
+
+        if is_pred_proba:
+            logger.info('+fit {} {}'.format(X_train.shape,list(set(np.ravel(Y_train)))))
+            model.fit(X_train, Y_train)
+            preds            = model.predict(X_test)
+            nnan = sum(np.ravel(np.isnan(preds)))
+
+        # metric_[indx]    = roc_auc_score(Y_test, preds)
+        # metric_[indx]    = average_precision_score(Y_test, preds)
+
+        if nnan:
+            logger.info('nan preds:{} ratio:{} ratio:{}'.format(
+                nnan,
+                nnan/float(len(np.ravel(np.isnan(preds)))),
+                nnan/len(preds)
+            ))
+            logger.info(
+                'warning: nan in predictions, cannot calculate score'
+                ': use low score instead, model:{}'.format(model.name))
+            score_roc, score_prc = 0.5, 0.0
+        elif not is_pred_proba:
+            logger.info(
+                'warning: clf has no probabilities'
+                ': use low score instead, model:{}'.format(model.name))
+            score_roc, score_prc = 0.5, 0.0
+        else:
+            # score_roc = metrics.roc_auc_score(Y_test, preds)
+            # score_prc = metrics.average_precision_score(Y_test, preds)
+            score_roc = eva.roc_auc_score(Y_test, preds)
+            score_prc = eva.average_precision_score(Y_test, preds)
+
+        score_roc_lst.append(score_roc)
+        score_prc_lst.append(score_prc)
+
+        metric_to_score = {
+            'aucprc': score_prc,
+            'aucroc': score_roc
+        }
+        metric_[indx] = eva.score_proba(Y_test, preds) if is_pred_proba and not nnan else metric_to_score[eva.get_metric()]
+        logger.info('{} metric_{}'.format(indx, metric_))
+        
+        if visualize:
+            printmd("\r{0}".format("**Cross-validation score: **"+ str(metric_[indx])))
+            print("---------------------------------------------------------")
+        
+        indx          += 1
+    
+    Output = (metric_.mean(), 1.96*np.std(metric_)/np.sqrt(len(metric_))) 
+    
+    if visualize:
+        printmd("\r{0}".format("**Final Cross-validation score: **"+ str(Output)))
+        print("---------------------------------------------------------")
+
+    roc = float(np.mean(score_roc_lst))
+    prc = float(np.mean(score_prc_lst))
+    logger.info(' evaluate_clf::aucroc {:0.4f} #({}) {}'.format(
+        roc,
+        len(score_roc_lst),
+        model.name))
+    logger.info(' evaluate_clf::aucprc {:0.4f} #({}) {}'.format(
+        prc,
+        len(score_prc_lst),
+        model.name
+    ))
+    eva_prop = {
+        'aucprc': prc,
+        'aucroc': roc,
+        'name': model.name,
+        'cv': n_folds
+    }
+    logger.info('-evaluate_clf {} {}'.format(Output, eva_prop))
+    return Output, eva_prop
+
+
+def evaluate_ens(X, Y, model_input, n_folds, visualize=False):
+    
+    logger.info('+evaluate_ens shape x:{} y:{}'.format(X.shape, Y.shape))
+    logger.info('nan x:{} {}'.format(
+        sum(np.ravel(np.isnan(X))),
+        sum(np.ravel(np.isnan(X)))/len(np.ravel(X))))
+
+    metric_      = np.zeros(n_folds)
+    metric_ens   = np.zeros(n_folds)
+    indx         = 0
+    skf          = StratifiedKFold(n_splits=n_folds)
+    start_fold   = 0
+
+    score_d = dict()
+    score_d['clf']  = dict()
+    score_d['clf_ens']  = dict()
+
+    score_d['clf']['roc_lst'] = list()
+    score_d['clf_ens']['roc_lst'] = list()
+    score_d['clf']['prc_lst'] = list()
+    score_d['clf_ens']['prc_lst'] = list()
+    eva_prop_lst = []
+    for train_index, test_index in skf.split(X, Y):
+
+        X_train  = X.loc[X.index[train_index]]
+        Y_train  = Y.loc[Y.index[train_index]]
+        X_test   = X.loc[X.index[test_index]]
+        Y_test   = Y.loc[Y.index[test_index]]
+        
+        if indx >= start_fold:
+
+            model = copy.deepcopy(model_input)  # start with the initial model
+
+            eva_prop = model.fit(X_train, Y_train)
+            eva_prop_lst.append(eva_prop)
+
+            preds             = model.predict(X_test)[0]
+            #preds_ens        = model.predict(X_test)[1]
+
+            preds_ens         = predict_ens(X_test, model.ensemble_models, [model.ensemble_weights])
+        
+            # metric_[indx]     = roc_auc_score(Y_test, preds)
+            # metric_ens[indx]  = roc_auc_score(Y_test, preds_ens)
+            
+            # metric_[indx]     = average_precision_score(Y_test, preds)
+            # metric_ens[indx]  = average_precision_score(Y_test, preds_ens)
+
+            score_d['clf']['roc_cur'] = eva.roc_auc_score(Y_test, preds)
+            score_d['clf_ens']['roc_cur'] = eva.roc_auc_score(Y_test, preds_ens)
+
+            score_d['clf']['prc_cur'] = eva.average_precision_score(Y_test, preds)
+            score_d['clf_ens']['prc_cur'] = eva.average_precision_score(Y_test, preds_ens)
+
+            score_d['clf']['roc_lst'].append(score_d['clf']['roc_cur'])
+            score_d['clf_ens']['roc_lst'].append(score_d['clf_ens']['roc_cur'])
+            score_d['clf']['prc_lst'].append(score_d['clf']['prc_cur'])
+            score_d['clf_ens']['prc_lst'].append(score_d['clf_ens']['prc_cur'])
+
+            metric_[indx] = eva.score_proba(Y_test, preds)
+            metric_ens[indx]  = eva.score_proba(Y_test, preds_ens)
+
+            if visualize:
+                printmd("\r{0}".format("**Cross-validation score: **"+ str(metric_[indx])))
+                printmd("\r{0}".format("**Cross-validation score with ensembles: **"+ str(metric_ens[indx])))
+                print("---------------------------------------------------------")
+        
+        indx          += 1
+    
+    Output     = (metric_.mean(),1.96*np.std(metric_)/np.sqrt(len(metric_))) 
+    Output_ens = (metric_ens.mean(),1.96*np.std(metric_ens)/np.sqrt(len(metric_ens))) 
+    
+    if visualize:
+        printmd("\r{0}".format("**Final Cross-validation score: **"+ str(Output)))
+        printmd("\r{0}".format("**Final Cross-validation score with ensembles: **"+ str(Output_ens)))
+        print("---------------------------------------------------------")
+
+    return Output, Output_ens, score_d, model, eva_prop_lst
+
+
+# In[143]:
+
+def get_Gibbs_kernel_(APmodel,M,assignments):
+
+    assignments = np.array(assignments)
+    baseKernels = GPy.kern.Matern52(input_dim=1,active_dims=[0],variance = APmodel.kern.variance[0], lengthscale = APmodel.kern.lengthscale[0])
+    newKernels  = [baseKernels] + [GPy.kern.Matern52(input_dim=len(list(np.where(assignments==m+1)[0])), active_dims=list(np.where(assignments==m+1)[0]),variance = APmodel.kern.variance[0], lengthscale = APmodel.kern.lengthscale[0]) for m in range(M)]
+    FinalKernel = [] #
+    
+    for k in range(len(newKernels)):
+        if newKernels[k].input_dim > 0 and type(FinalKernel)==list:
+            FinalKernel = newKernels[k]
+        elif newKernels[k].input_dim > 0 and type(FinalKernel)!=list:
+            FinalKernel = FinalKernel + newKernels[k] 
+        
+    return FinalKernel
+
+def get_GPy_logLikelhood(dataX,dataY,Kernel_in):
+    
+    return GPy.models.GPRegression(dataX, dataY, kernel=Kernel_in).log_likelihood()
+    
+
+
+# In[144]:
+
+def get_clustered_domains(modind,hypMAP,noHyp,assigns):
+        
+    # Define domains for classifier sets
+    #[RF 0 (1,2),GBM 1 (3,4,5),XGB 2 (6,7,8),Ada 3 (9,10),Bag 4 (11,12,13,14), BNB 5 (15), 
+    # GNB 6 [], MNB 7 (16), LR 8 (17,18,19), Perc 9 (20,21), DT 10 (22), QDA_ 11 (),
+    # LDA_ 12 (), KNN 13 (23,24,25,26), LSVM 14 (27), NN 15 (28,29,30,31)]
+    
+    GibbScores_  = [np.mean(np.array([assigns[hypMAP[modind[m]][k]-1] for k in range(len(hypMAP[modind[m]]))]),axis=0) for m in range(len(modind))]
+    num_clusters = len(assigns[0])
+    chunk_size   = int(np.floor(len(modind)/num_clusters))
+    
+    model_indxs  = [[]]*num_clusters
+    dims_        = [[]]*num_clusters
+    cumulat_     = []
+    
+    for nc_ in range(num_clusters):
+        
+        if nc_ == 0:
+            model_indxs[nc_] = list(np.argsort(np.array(GibbScores_)[:,nc_])[::-1])[:chunk_size]
+            cumulat_         = cumulat_ + model_indxs[nc_] 
+        else:
+            remaining_models = np.argsort(np.array(GibbScores_)[:,nc_])[::-1]
+            remaining_indxs  = [remaining_models[k] for k in range(len(remaining_models)) if remaining_models[k] not in cumulat_]
+            
+            if nc_ < num_clusters-1:
+                model_indxs[nc_] = remaining_indxs[:chunk_size]  
+            else:
+                model_indxs[nc_] = remaining_indxs 
+            
+            cumulat_         = cumulat_ + model_indxs[nc_]
+            
+    model_indexes     = [[modind[model_indxs[nn][kk]] for kk in range(len(model_indxs[nn]))] for nn in range(len(model_indxs))]       
+    model_indexes[-1] = model_indexes[-1] + noHyp
+    
+    base_models_      = [RandomForest(),GradientBoosting(),XGboost(),Adaboost(),Bagging(),BernNaiveBayes(),
+                         GaussNaiveBayes(),MultinomialNaiveBayes(),LogisticReg(),Percept(),DecisionTrees(),
+                         QDA_(),LDA_(),KNN(),LinearSVM(),NeuralNet()]
+    
+    component_maps     = [model_indexes[k] for k in range(num_clusters)]
+    domains_           = [[{'name': 'classifier', 'type': 'categorical', 'domain': tuple(range(len(model_indexes[k]))),'dimensionality': 1}] for k in range(num_clusters)]
+            
+    for nums_cl in range(num_clusters): 
+        for mm_ in range(len(model_indexes[nums_cl])):
+            logger.info("base_hyper_parameter_space {}".format(base_models_[model_indexes[nums_cl][mm_]].get_hyperparameter_space()))
+            domains_[nums_cl]  = domains_[nums_cl] + base_models_[model_indexes[nums_cl][mm_]].get_hyperparameter_space()
+        
+        dims_[nums_cl]         = len(domains_[nums_cl])
+    
+    return domains_ , dims_, component_maps        
+
+
+def merge_domains(doms_,X_s,Y_s,modelcompons_):
+    
+    merged_doms_ = [{'name': 'classifier', 'type': 'categorical',
+                     'domain': tuple(range(np.sum([len(modelcompons_[k]) for k in range(len(modelcompons_))]))),
+                     'dimensionality': 1}]
+    
+    for k in range(len(doms_)):
+        
+        merged_doms_ = merged_doms_ + doms_[k][1:] 
+        
+    T            = len(X_s[0])
+    NumHyp       = len(merged_doms_)
+    X_merged     = [] 
+    Y_merged     = [] 
+    
+    for tt in range(T):
+        
+        X_temp = [] 
+        
+        for mm in range(len(doms_)):
+ 
+            X_temp = X_temp + list(X_s[mm][tt][1:])
+                
+        
+        Xbig_temp      = np.repeat(np.array(X_temp).reshape(len(X_temp),1),len(X_s),axis=1).T
+        Xbig_temp_     = np.array([modelcompons_[k][int(X_s[k][tt][0])] for k in range(len(X_s))])
+        Xbig_temp      = np.hstack((Xbig_temp_.reshape(len(Xbig_temp_),1),Xbig_temp))
+        
+        X_merged.append(Xbig_temp)        
+        Y_merged.append(np.array([Y_s[k][tt] for k in range(len(X_s))]))
+        
+    
+    X_merged_final = X_merged[0]
+    Y_merged_final = Y_merged[0]
+
+    for u in range(1,len(Y_merged)):
+
+        X_merged_final = np.vstack((X_merged_final,X_merged[u]))
+        Y_merged_final = np.vstack((Y_merged_final,Y_merged[u]))
+        
+
+    return merged_doms_,X_merged_final,Y_merged_final
+
+
+# In[146]:
+
+def split_domain(doms_, dom_merged, comp_map, X_m, Y_m):
+    
+    X_s = [[]]*len(doms_)
+    Y_s = [[]]*len(doms_)
+    
+    # map of models to classifier index
+    dom_lists = [dom_merged[k]['name'] for k in range(len(dom_merged))]
+    hyperlist = [[dom_lists.index(doms_[uu_][u]['name']) for u in range(len(doms_[uu_]))] for uu_ in range(len(doms_))]
+    
+    for u in range(len(X_m)):
+        relevant_comp = np.where(np.array([(X_m[u][0] in comp_map[k])*1 for k in range(len(comp_map))])==1)[0][0] 
+        X_coded       = [comp_map[relevant_comp].index(X_m[u][0])] + list(X_m[u][hyperlist[relevant_comp][1:]])
+        
+        if len(X_s[relevant_comp]) == 0:
+            
+            X_s[relevant_comp] = [X_coded]
+            Y_s[relevant_comp] = list(Y_m[u])
+        
+        else:    
+            
+            X_s[relevant_comp].append(X_coded)
+            Y_s[relevant_comp] = Y_s[relevant_comp] + list(Y_m[u])
+            
+    Y_s_    = [[Y_s[u][k] for k in range(len(Y_s[u]))] for u in range(len(Y_s))]   
+
+    
+    max_dim = np.max(np.array([len(X_s[k]) for k in range(len(X_s))]))  
+    XX__s   = [[]]*len(doms_)
+    YY__s   = [[]]*len(doms_)
+    
+    for u in range(len(X_s)):
+        
+        XX_s     = np.repeat(np.array(X_s[u]),np.floor(max_dim/np.array(X_s[u]).shape[0]),axis=0)
+        YY_s     = np.repeat(np.array(Y_s_[u]),np.floor(max_dim/np.array(X_s[u]).shape[0]),axis=0)
+        
+        if XX_s.shape[0] < max_dim:
+
+            X_remain = np.repeat(XX_s[XX_s.shape[0]-1,:].reshape(1,len(XX_s[XX_s.shape[0]-1,:])),max_dim-XX_s.shape[0],axis=0)
+            Y_remain = YY_s[XX_s.shape[0]-1]*np.ones(max_dim-XX_s.shape[0])
+            
+            XX_s     = np.vstack((XX_s,X_remain))
+            YY_s     = np.vstack((YY_s.reshape(len(YY_s),1),Y_remain.reshape(len(Y_remain),1)))
+            XX__s[u] = XX_s
+            YY__s[u] = YY_s.reshape((max_dim,1))
+            
+        else:
+            
+            XX__s[u] = XX_s[0:max_dim]
+            YY__s[u] = YY_s[0:max_dim].reshape((max_dim,1))
+            
+            
+    return XX__s, YY__s
+
+
+eva = evaluate()
+
+logger = logging.getLogger()
+logging.basicConfig(level=logging.WARNING, format='%(message)s')
+
+nmax_model = 0
+model_xtr_arg = 0
+gis_ipython = is_ipython()
diff --git a/alg/autoprognosis/models/classifiers.py b/alg/autoprognosis/models/classifiers.py
new file mode 100644
index 00000000..e2cbb90f
--- /dev/null
+++ b/alg/autoprognosis/models/classifiers.py
@@ -0,0 +1,735 @@
+
+# Copyright (c) 2019, Ahmed M. Alaa
+# Licensed under the BSD 3-clause license (see LICENSE.txt)
+
+from __future__ import absolute_import, division, print_function
+
+import logging
+import numpy as np
+
+from sklearn.ensemble import RandomForestClassifier, AdaBoostClassifier, GradientBoostingClassifier, BaggingClassifier
+from sklearn.naive_bayes import GaussianNB, BernoulliNB, MultinomialNB
+from sklearn.discriminant_analysis import QuadraticDiscriminantAnalysis, LinearDiscriminantAnalysis
+from xgboost import XGBClassifier
+from sklearn.neural_network import MLPClassifier
+from sklearn.neighbors import KNeighborsClassifier
+from sklearn.svm import SVC, LinearSVC
+from sklearn.tree import DecisionTreeClassifier
+from sklearn.linear_model import Perceptron, LogisticRegression
+
+from rpy2.robjects import r
+import rpy2.robjects.numpy2ri
+import rpy2.robjects.packages as rpackages
+rpy2.robjects.numpy2ri.activate()
+
+import warnings
+warnings.filterwarnings("ignore")
+
+
+logger = logging.getLogger()
+
+classifier_xtr_arg = 0
+
+
+def classifier_set_xtr_arg(xtr):
+    global classifier_xtr_arg
+    classifier_xtr_arg = xtr
+
+
+def classifier_get_xtr_arg():
+    return classifier_xtr_arg
+
+
+class baseClassifier:
+    """ A parent class for all classification estimators. Particular classif. models will inherit from this class."""
+    # methods
+    def __init__(self):
+
+        self.model_type = 'classifier'
+        
+    def fit(self, X, Y):
+
+        logging.info(' fit::clf {} {}'.format(X.shape, list(set(np.ravel(Y)))))
+
+        if self.name in [
+                'MultinomialNaiveBayes',
+                'GaussianNaiveBayes',
+                'BernoullinNaiveBayes']:
+
+            self.model.fit(np.abs(X), Y)
+
+        else:
+
+            self.model.fit(X, Y)    
+
+    def predict(self,X): 
+
+        if self.is_pred_proba:
+            # preds_ = self.model.predict_proba(X)[:,1]
+            preds_ = self.model.predict_proba(X)
+        else:
+            preds_ = self.model.predict(X)
+        
+        return preds_    
+    
+
+class RandomForest(baseClassifier): 
+    """ Random forest classifier model."""
+    
+    def __init__(self,
+                 n_estimators=100,
+                 criterion='gini'):
+        
+        super().__init__()
+   
+        self.n_estimators  = n_estimators
+        self.criterion     = criterion
+        self.name          = 'Random Forest'
+        self.is_pred_proba = True
+        self.model         = RandomForestClassifier(n_estimators=self.n_estimators,criterion=self.criterion)
+        
+        self.explained     = "*Random forests or random decision forests are an ensemble learning method for classification, regression and other tasks, that operate by constructing a multitude of decision trees at training time and outputting the class that is the mode of the classes (classification) or mean prediction (regression) of the individual trees.*"
+        self.image_name    = "RanForest.png"
+        self.image_size    = (750,750)
+
+        # ****Model hyper-parameters****
+        # ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+        # ((n_estimators)) : integer, positive, default: 100
+        # ((criterion))    : “gini” | “entropy” 
+        # ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+    
+    def get_hyperparameter_space(self):
+        
+        hyp_   = [{'name': 'RandomForest.ntrees', 'type': 'discrete', 'domain': tuple(range(10,1000)),'dimensionality': 1},
+                  {'name': 'RandomForest.criterion', 'type': 'categorical', 'domain': (0,1),'dimensionality': 1}]
+
+        return hyp_   
+        
+    def get_properties(self):
+        return {
+            'name': self.name,
+            'hyperparameters': {
+                'model': str(self.model)
+            }
+        }
+
+
+
+class GradientBoosting(baseClassifier): 
+    """ Gradient Boosting classification model."""
+    
+    def __init__(self,
+                 n_estimators=100,
+                 learning_rate=0.1,
+                 max_depth=6):
+        
+        super().__init__()
+   
+        self.n_estimators  = n_estimators
+        self.learning_rate = learning_rate
+        self.max_depth     = max_depth
+        self.is_pred_proba = True
+        self.name          = 'Gradient Boosting'
+        self.model         = GradientBoostingClassifier(n_estimators=self.n_estimators,
+                                                        learning_rate=self.learning_rate,max_depth=self.max_depth)
+        
+        
+        self.explained     = "*Gradient boosting is a machine learning technique for regression and classification problems, which produces a prediction model in the form of an ensemble of weak prediction models, typically decision trees. It builds the model in a stage-wise fashion like other boosting methods do, and it generalizes them by allowing optimization of an arbitrary differentiable loss function..*"
+        self.image_name    = "GBM.png"
+        self.image_size    = (1000,1000)
+        
+        # ****Model hyper-parameters****
+        # ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+        # ((n_estimators)) : integer, positive, default: 100
+        # Number of decision tree estimators
+        # ((max_depth)), ((learning_rate)) 
+        # ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+    
+    def get_hyperparameter_space(self):
+        
+        hyp_ = [{'name': 'GradientBoosting.n_estimators', 'type': 'discrete', 'domain': tuple(range(10,500)),'dimensionality': 1},
+                {'name': 'GradientBoosting.max_depth', 'type': 'discrete', 'domain': tuple(range(1,10)),'dimensionality': 1},
+                {'name': 'GradientBoosting.learning_rate', 'type': 'continuous', 'domain': (0.005,0.5),'dimensionality': 1}]
+        return hyp_   
+        
+    def get_properties(self):
+        return {
+            'name': self.name,
+            'hyperparameters': {
+                'model': str(self.model)
+            }
+        }
+
+
+
+class XGboost(baseClassifier): 
+    """ XGBoost classification model."""
+    
+    def __init__(self,
+                 n_estimators=100,
+                 learning_rate=0.1,
+                 max_depth=6):
+        
+        super().__init__()
+   
+        self.n_estimators  = n_estimators
+        self.learning_rate = learning_rate
+        self.max_depth     = max_depth
+        self.name          = 'XGBoost'
+        self.is_pred_proba = True
+        self.model         = XGBClassifier(n_estimators=self.n_estimators,
+                                           learning_rate=self.learning_rate,max_depth=self.max_depth)
+        
+        self.explained     = "*GBoost is an open-source software library which provides the gradient boosting framework for C++, Java, Python, R, and Julia.*"
+        self.image_name    = "XGBoost.png"
+        self.image_size    = (500,500)
+        
+        # ****Model hyper-parameters****
+        # ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+        # ((n_estimators)) : integer, positive, default: 100
+        # ((max_depth)), ((learning_rate)) 
+        # ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+    
+    def get_hyperparameter_space(self):
+        
+        hyp_ = [{'name': 'XGboost.n_estimators', 'type': 'discrete', 'domain': tuple(range(10,500)),'dimensionality': 1},
+                {'name': 'XGboost.max_depth', 'type': 'discrete', 'domain': tuple(range(1,10)),'dimensionality': 1},
+                {'name': 'XGboost.learning_rate', 'type': 'continuous', 'domain': (0.005,0.5),'dimensionality': 1}]
+        return hyp_   
+        
+    def get_properties(self):
+        return {
+            'name': self.name,
+            'hyperparameters': {
+                'model': str(self.model)
+            }
+        }
+
+
+class Adaboost(baseClassifier): 
+    """ AdaBoost classification model."""
+    
+    def __init__(self,
+                 n_estimators=100,
+                 learning_rate=1):
+        
+        super().__init__()
+   
+        self.n_estimators  = n_estimators
+        self.learning_rate = learning_rate
+        self.name          = 'AdaBoost'
+        self.is_pred_proba = True
+        self.model         = AdaBoostClassifier(n_estimators=self.n_estimators,
+                                                learning_rate=self.learning_rate)
+        
+        self.explained     = "*AdaBoost, short for Adaptive Boosting, is a machine learning meta-algorithm formulated by Yoav Freund and Robert Schapire, who won the 2003 Gödel Prize for their work. It can be used in conjunction with many other types of learning algorithms to improve performance. The output of the other learning algorithms ('weak learners') is combined into a weighted sum that represents the final output of the boosted classifier. AdaBoost is adaptive in the sense that subsequent weak learners are tweaked in favor of those instances misclassified by previous classifiers.*"
+        self.image_name    = "AdaBoost.png"
+        self.image_size    = (500,500)
+        
+        # ****Model hyper-parameters****
+        # ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+        # ((n_estimators)) : integer, positive, default: 100
+        # ((learning_rate)): default = 1.0 
+        # ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+    
+    def get_hyperparameter_space(self):
+        
+        hyp_ = [{'name': 'Adaboost.n_estimators', 'type': 'discrete', 'domain': tuple(range(10,5000)),'dimensionality': 1},
+                {'name': 'Adaboost.learning_rate', 'type': 'continuous', 'domain': (0.005,5),'dimensionality': 1}]
+        return hyp_
+    
+    def get_properties(self):
+        return {
+            'name': self.name,
+            'hyperparameters': {
+                'model': str(self.model)
+            }
+        }
+
+
+
+class Bagging(baseClassifier): 
+    """ Bagging classification model."""
+    
+    def __init__(self,
+                 base_estimator=None,
+                 max_samples=1.0,
+                 max_features=1.0,
+                 n_estimators=100):
+        
+        super().__init__()
+        logger.info('Bagging::init be:{} ms:{} mf:{} nest:{}'.format(base_estimator, max_samples, max_features, n_estimators))
+        self.n_estimators   = n_estimators
+        self.max_samples    = max_samples
+        self.name           = 'Bagging'
+        self.max_features   = max_features
+        self.base_estimator = None if classifier_get_xtr_arg() < 1 else base_estimator # LogisticRegression()#base_estimator
+        self.is_pred_proba  = True
+        self.model          = BaggingClassifier(
+            n_estimators=self.n_estimators,
+            max_features=self.max_features,
+            max_samples=self.max_samples,
+            base_estimator=self.base_estimator
+        )
+        
+        self.explained     = "*Bootstrap aggregating, also called bagging, is a machine learning ensemble meta-algorithm designed to improve the stability and accuracy of machine learning algorithms used in statistical classification and regression. It also reduces variance and helps to avoid overfitting. Although it is usually applied to decision tree methods, it can be used with any type of method. Bagging is a special case of the model averaging approach.*"
+        self.image_name    = "Bagging.png"
+        self.image_size    = (500, 500)
+        
+        # ****Model hyper-parameters****
+        # ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+        # ((n_estimators)) : integer, positive, default: 100
+        # ((max_samples)): maximum number of samples for each estimator, default 1.0
+        # Default base estimator is decision trees
+        # ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+    
+    def get_hyperparameter_space(self):
+        
+        hyp_ = [{'name': 'Bagging.n_estimators', 'type': 'discrete', 'domain': tuple(range(10,5000)),'dimensionality': 1},
+                # {'name': 'Bagging.max_samples', 'type': 'continuous', 'domain': (0.005,1),'dimensionality': 1},
+                {'name': 'Bagging.max_samples', 'type': 'continuous', 'domain': (0.01,1),'dimensionality': 1},
+                {'name': 'Bagging.max_features', 'type': 'continuous', 'domain': (0.005,1),'dimensionality': 1},
+                {'name': 'Bagging.base_estimator', 'type': 'categorical', 'domain': (0,1,2,3,4),'dimensionality': 1}]
+        return hyp_
+
+    def get_properties(self):
+        return {
+            'name': self.name,
+            'hyperparameters': {
+                'model': str(self.model)
+            }
+        }
+
+
+class BernNaiveBayes(baseClassifier): 
+    """ Bernoulli Naive Bayes classification model."""
+    
+    def __init__(self,alpha=1.0): 
+        super().__init__()
+         
+        self.alpha          = alpha    
+        self.is_pred_proba  = True
+        self.model          = BernoulliNB(alpha=self.alpha)
+        self.name           = 'BernoullinNaiveBayes'
+        
+        self.explained     = "*A Naive Bayes classifiers are a family of simple probabilistic classifiers based on applying Bayes theorem with strong (naive) independence assumptions between the features.*"
+        self.image_name    = "BernoullinNaiveBayes.png"
+        self.image_size    = (500,500)
+        
+        # ****Model hyper-parameters****
+        # ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+        # alpha = Additive (Laplace/Lidstone) smoothing parameter (0 for no smoothing).
+        # ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+    
+    def get_hyperparameter_space(self):
+        
+        hyp_ = [{'name': 'BernoullinNaiveBayes.alpha', 'type': 'continuous', 'domain': (0.005,5),'dimensionality': 1}]
+        
+        return hyp_   
+
+    def get_properties(self):
+        return {
+            'name': self.name,
+            'hyperparameters': {
+                'model': str(self.model)
+            }
+        }
+
+
+class GaussNaiveBayes(baseClassifier):  
+    """ Gaussian Naive Bayes classification model."""
+    
+    def __init__(self): 
+        super().__init__()
+   
+        self.is_pred_proba = True
+        self.model      = GaussianNB()
+        self.name       = 'GaussianNaiveBayes' 
+        
+        self.explained     = "*A Naive Bayes classifiers are a family of simple probabilistic classifiers based on applying Bayes theorem with strong (naive) independence assumptions between the features.*"
+        self.image_name    = "BernoullinNaiveBayes.png"
+        self.image_size    = (500,500)
+        
+        # ****Model hyper-parameters****
+        # ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+        # None
+        # ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+    
+    def get_hyperparameter_space(self):
+        
+        hyp_ = []
+        
+        return hyp_   
+
+    def get_properties(self):
+        return {
+            'name': self.name,
+            'hyperparameters': {
+                'model': str(self.model)
+            }
+        }
+
+
+class MultinomialNaiveBayes(baseClassifier): 
+    """ Multinomial Naive Bayes classification model."""
+    
+    def __init__(self,alpha=1.0): 
+        super().__init__()
+   
+        self.alpha      = alpha 
+        self.is_pred_proba = True
+        self.model      = MultinomialNB(alpha=self.alpha)
+        self.name       = 'MultinomialNaiveBayes' 
+        
+        self.explained     = "*A Naive Bayes classifiers are a family of simple probabilistic classifiers based on applying Bayes theorem with strong (naive) independence assumptions between the features.*"
+        self.image_name    = "BernoullinNaiveBayes.png"
+        self.image_size    = (500,500)
+        
+        # ****Model hyper-parameters****
+        # ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+        # alpha = Additive (Laplace/Lidstone) smoothing parameter (0 for no smoothing).
+        # ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+    
+    def get_hyperparameter_space(self):
+        
+        hyp_ = [{'name': 'MultinomialNaiveBayes.alpha', 'type': 'continuous', 'domain': (0.005,5),'dimensionality': 1}]
+        
+        return hyp_ 
+
+    def get_properties(self):
+        return {
+            'name': self.name,
+            'hyperparameters': {
+                'model': str(self.model)
+            }
+        }
+
+
+class LogisticReg(baseClassifier): 
+    """ Logistic Regression classification model."""
+    
+    def __init__(self,
+                 C=1.0,
+                 solver='lbfgs',
+                 max_iter=100):
+        
+        super().__init__()
+   
+        self.C          = C 
+        self.max_iter   = max_iter 
+        self.solver     = solver
+        self.is_pred_proba = True
+        self.model      = LogisticRegression(C=self.C,solver=self.solver,max_iter=self.max_iter)
+        self.name       = 'LogisticRegression'
+        
+        self.explained     = "*A statistical model that is usually taken to apply to a binary dependent variable. In regression analysis, logistic regression or logit regression is estimating the parameters of a logistic model. More formally, a logistic model is one where the log-odds of the probability of an event is a linear combination of independent or predictor variables.*"
+        self.image_name    = "LogisticRegression.png"
+        self.image_size    = (500,500)
+        
+        # ****Model hyper-parameters****
+        # ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+        # C        = Inverse of regularization strength;
+        #            must be a positive float. Like in support vector machines, smaller values specify stronger regularization.
+        # solver   = {‘newton-cg’, ‘lbfgs’, ‘liblinear’, ‘sag’, ‘saga’}
+        # max_iter = 100 default
+        # ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+    
+    def get_hyperparameter_space(self):
+        
+        hyp_ = [{'name': 'LogisticRegression.C', 'type': 'continuous', 'domain': (0.005,10),'dimensionality': 1},
+                {'name': 'LogisticRegression.solver', 'type': 'categorical', 'domain': (0,1,2,3,4),'dimensionality': 1},
+                {'name': 'LogisticRegression.max_iter', 'type': 'discrete', 'domain': (0,500),'dimensionality': 1}]
+        
+        return hyp_ 
+
+    def get_properties(self):
+        return {
+            'name': self.name,
+            'hyperparameters': {
+                'model': str(self.model)
+            }
+        }
+
+
+
+class Percept(baseClassifier): 
+    """ Perceptron classification model (1 layer neural networks)."""
+    
+    def __init__(self,
+                 penalty='l2',
+                 alpha=0.0001
+                 ):
+        
+        super().__init__()
+   
+        self.penalty    = penalty 
+        self.alpha      = alpha 
+        self.is_pred_proba = False
+        self.model      = Perceptron(penalty=self.penalty ,alpha=self.alpha)
+        self.name       = 'Perceptron'
+        
+        self.explained     = "*The perceptron is an algorithm for supervised learning of binary classifiers (functions that can decide whether an input, represented by a vector of numbers, belongs to some specific class or not).*"
+        self.image_name    = "Perceptron.png"
+        self.image_size    = (500,500)
+        
+        # ****Model hyper-parameters****
+        # ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+        # alpha    = regularizer factor
+        # penalty  = {‘l2’ or ‘l1’ or ‘elasticnet’}
+        # ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+    
+    def get_hyperparameter_space(self):
+        
+        hyp_ = [{'name': 'Perceptron.alpha', 'type': 'continuous', 'domain': (0.00005,0.001),'dimensionality': 1},
+                {'name': 'Perceptron.penalty', 'type': 'categorical', 'domain': (0,1,2),'dimensionality': 1}]
+        
+        return hyp_ 
+
+    def get_properties(self):
+        return {
+            'name': self.name,
+            'hyperparameters': {
+                'model': str(self.model)
+            }
+        }
+
+
+class DecisionTrees(baseClassifier): 
+    """ Decision Tree classification model."""
+    
+    def __init__(self,criterion='gini'):
+        
+        super().__init__()
+   
+        self.criterion  = criterion 
+        self.is_pred_proba = False
+        self.model      = DecisionTreeClassifier(criterion=self.criterion)
+        self.name       = 'DecisionTrees'
+        
+        self.explained     = "*A decision tree is a decision support tool that uses a tree-like graph or model of decisions and their possible consequences, including chance event outcomes, resource costs, and utility. It is one way to display an algorithm that only contains conditional control statements.*"
+        self.image_name    = "DecisionTrees.png"
+        self.image_size    = (500,500)
+        
+        # ****Model hyper-parameters****
+        # ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+        # criterion = 'gini' or 'entropy'
+        # ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+    
+    def get_hyperparameter_space(self):
+        
+        hyp_ = [{'name': 'DecisionTrees.criterion', 'type': 'categorical', 'domain': (0,1),'dimensionality': 1}]
+        
+        return hyp_ 
+
+    def get_properties(self):
+        return {
+            'name': self.name,
+            'hyperparameters': {
+                'model': str(self.model)
+            }
+        }
+
+
+class QDA_(baseClassifier): 
+    """ Quadratic Discriminant Analysis classification model."""
+    
+    def __init__(self):
+        
+        super().__init__()
+   
+        self.is_pred_proba = True
+        self.model      = QuadraticDiscriminantAnalysis()
+        self.name       = 'QDA'
+        
+        self.explained     = "*The perceptron is an algorithm for supervised learning of binary classifiers (functions that can decide whether an input, represented by a vector of numbers, belongs to some specific class or not).*"
+        self.image_name    = "Perceptron.png"
+        self.image_size    = (500,500)
+        
+        # ****Model hyper-parameters****
+        # ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+        # None
+        # ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+    
+    def get_hyperparameter_space(self):
+        
+        hyp_ = []
+        
+        return hyp_ 
+
+    def get_properties(self):
+        return {
+            'name': self.name,
+            'hyperparameters': {
+                'model': str(self.model)
+            }
+        }
+
+
+class LDA_(baseClassifier): 
+    """ Linear Discriminant Analysis classification model."""
+    
+    def __init__(self):
+        
+        super().__init__()
+   
+        self.is_pred_proba = True
+        self.model      = LinearDiscriminantAnalysis()
+        self.name       = 'LDA'
+        
+        self.explained     = "*The perceptron is an algorithm for supervised learning of binary classifiers (functions that can decide whether an input, represented by a vector of numbers, belongs to some specific class or not).*"
+        self.image_name    = "Perceptron.png"
+        self.image_size    = (500,500)
+        
+        # ****Model hyper-parameters****
+        # ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+        # None
+        # ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+    
+    def get_hyperparameter_space(self):
+        
+        hyp_ = []
+        
+        return hyp_ 
+
+    def get_properties(self):
+        return {
+            'name': self.name,
+            'hyperparameters': {
+                'model': str(self.model)
+            }
+        }
+
+
+class KNN(baseClassifier): 
+    """ K nearest neighbor classification model."""
+    
+    def __init__(self,
+                 n_neighbors=5,
+                 weights='uniform',
+                 algorithm='auto',
+                 leaf_size=30,
+                 p=2
+                 ):
+        
+        super().__init__()
+   
+        self.n_neighbors = n_neighbors
+        self.weights     = weights
+        self.algorithm   = algorithm
+        self.leaf_size   = leaf_size
+        self.p           = p
+        self.is_pred_proba= True
+        self.model       = KNeighborsClassifier(n_neighbors=self.n_neighbors,weights=self.weights,
+                                                algorithm=self.algorithm,leaf_size=self.leaf_size,p=self.p)
+        self.name        = 'KNN'
+        
+        # ****Model hyper-parameters****
+        # ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+        # n_neighbors : Number of neighbors , int, optional (default = 5)
+        # weights : str or callable, optional (default = ‘uniform’ also 'distance')
+        # algorithm : {‘auto’, ‘ball_tree’, ‘kd_tree’, ‘brute’}
+        # leaf_size : int, optional (default = 30)
+        # p : integer 1 or 2, optional (default = 2)
+        # ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+    
+    def get_hyperparameter_space(self):
+        
+        hyp_ = [{'name': 'KNN.p', 'type': 'discrete', 'domain': (1,2),'dimensionality': 1},
+                {'name': 'KNN.algorithm', 'type': 'categorical', 'domain': (0,1,2,3),'dimensionality': 1},
+                {'name': 'KNN.weights', 'type': 'categorical', 'domain': (0,1),'dimensionality': 1},
+                {'name': 'KNN.n_neighbors', 'type': 'discrete', 'domain': (1,50),'dimensionality': 1}]
+        
+        return hyp_ 
+
+    def get_properties(self):
+        return {
+            'name': self.name,
+            'hyperparameters': {
+                'model': str(self.model)
+            }
+        }
+
+
+class LinearSVM(baseClassifier): 
+    """ Linear SVM classification model."""
+    
+    def __init__(self,penalty='l2'): 
+        super().__init__()
+   
+        self.penalty    = penalty 
+        self.is_pred_proba = False
+        self.model      = LinearSVC(penalty=self.penalty,dual=False)
+        self.name       = 'LinearSVM'
+        
+        self.explained     = "*The perceptron is an algorithm for supervised learning of binary classifiers (functions that can decide whether an input, represented by a vector of numbers, belongs to some specific class or not).*"
+        self.image_name    = "Perceptron.png"
+        self.image_size    = (500,500)
+        
+        # ****Model hyper-parameters****
+        # ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+        # penalty  = {‘l2’ or ‘l1’}
+        # ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+    
+    def get_hyperparameter_space(self):
+        
+        hyp_ = [{'name': 'LinearSVM.penalty', 'type': 'categorical', 'domain': (0,1),'dimensionality': 1}]
+        
+        return hyp_ 
+
+    def get_properties(self):
+        return {
+            'name': self.name,
+            'hyperparameters': {
+                'model': str(self.model)
+            }
+        }
+
+
+class NeuralNet(baseClassifier): 
+    """ Neural network classification model."""
+    
+    def __init__(self,
+                 num_layers=2,
+                 num_units=100,
+                 activation='relu',
+                 solver='adam'
+                 ):
+        
+        super().__init__()
+   
+        self.hidden_layer_sizes = tuple([num_units for k in range(num_layers)])
+        self.activation         = activation
+        self.solver             = solver
+        self.is_pred_proba      = True
+        self.model              = MLPClassifier(hidden_layer_sizes=self.hidden_layer_sizes,activation=self.activation,
+                                                solver=self.solver)
+        self.name               = 'NeuralNet'
+        
+        self.explained     = "*Artificial neural networks (ANNs) or connectionist systems are computing systems vaguely inspired by the biological neural networks that constitute animal brains. Such systems learn to perform tasks by considering examples, generally without being programmed with any task-specific rules.*"
+        self.image_name    = "NeuralNet.png"
+        self.image_size    = (500,500)
+        
+        # ****Model hyper-parameters****
+        # ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+        # hidden_layer_sizes : tuple, length = n_layers - 2, default (100,)
+        # activation : {‘identity’, ‘logistic’, ‘tanh’, ‘relu’}, default ‘relu’
+        # solver : {‘lbfgs’, ‘sgd’, ‘adam’}, default ‘adam’
+        # ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+    
+    def get_hyperparameter_space(self):
+        
+        hyp_ = [{'name': 'NeuralNet.num_layers', 'type': 'discrete', 'domain': (1,2),'dimensionality': 1},
+                {'name': 'NeuralNet.num_units', 'type': 'discrete', 'domain': (50,200),'dimensionality': 1},
+                {'name': 'NeuralNet.solver', 'type': 'categorical', 'domain': (0,1,2),'dimensionality': 1},
+                {'name': 'NeuralNet.activation', 'type': 'categorical', 'domain': (0,1,2,3),'dimensionality': 1}]
+        
+        return hyp_ 
+
+    def get_properties(self):
+        return {
+            'name': self.name,
+            'hyperparameters': {
+                'model': str(self.model)
+            }
+        }
+
diff --git a/alg/autoprognosis/models/imputers.py b/alg/autoprognosis/models/imputers.py
new file mode 100644
index 00000000..86fb215f
--- /dev/null
+++ b/alg/autoprognosis/models/imputers.py
@@ -0,0 +1,429 @@
+
+# Copyright (c) 2019, Ahmed M. Alaa
+# Licensed under the BSD 3-clause license (see LICENSE.txt)
+
+from __future__ import absolute_import, division, print_function
+
+import numpy as np
+
+from sklearn import preprocessing
+
+from rpy2.robjects import r
+import rpy2.robjects.numpy2ri
+import rpy2.robjects.packages as rpackages
+rpy2.robjects.numpy2ri.activate()
+
+import warnings
+warnings.filterwarnings("ignore")
+
+
+class baseImputer:
+    """
+    Base class for constructing an imputation method on the pipeline. Default imputer is the mean imputation strategy.
+    Includes R wrappers for various imputation methods.
+    
+    Available imputers:
+    ------------------
+    sk-learn: mean, median and most frequent imputation strategies.
+    R wrappers: MICE, bootstrapped EMB (from AMELIA package), missForest, matrix completion.
+    
+    Attributes:
+    ----------
+    _hyperparameters: a dictionary of hyperparameters for the class instance along with their current values.
+    _mode: the selected imputation algorithm for this class instance.
+    model: imputation model object.
+    
+    Methods:
+    -------
+    fit: a method for imputing missing data using the selected algorithm and hyperparameters
+    
+    """
+
+    def __init__(self,**kwargs):
+        """
+        Class constructor. 
+        Initialize an Imputer object. 
+    
+        :_mode: imputation algorithm (options: 'mean', 'median', 'most_frequent', 'missForest', 'MICE', 'EMB', 'matrix_completion')
+        :_hyperparameters: hyper-parameter setting for the imputer 
+        
+        """ 
+        self._model_list       = ['mean', 'median', 'most_frequent', 'missForest', 'MICE', 'EMB', 'matrix_completion']
+        self._hyperparameters  = {} 
+        self._mode             = 'mean' 
+        self.MI                = False   # multiple-imputation flag, default is FALSE
+        self.package_dict      = {'missForest': 'missForest', 'MICE': 'mice',
+                                  'EMB': 'Amelia', 'matrix_completion': 'softImpute'}
+        self.kwargs            = kwargs
+
+        self.is_init_r_system = False
+        
+        # Set defaults and catch exceptions
+        self.__acceptable_keys_list = ['_mode', '_hyperparameters']
+        
+        try:
+            if(len(kwargs) > 0):
+                
+                [self.__setattr__(key, kwargs.get(key)) for key in self.__acceptable_keys_list]
+            
+            #if self._mode not in self._model_list:
+                
+                #raise ValueError("Unrecognized imputation model! Default mean imputation will be used.")
+        
+        except ValueError as valerr:
+            
+            print(valerr)
+            self._hyperparameters  = {} 
+            self._mode             = 'mean'
+        
+        # Set imputation model object
+        
+        self.set_model()
+        self.set_hyperparameters()
+        
+        
+    def set_model(self):
+        """
+        Creates an imputation model object and assigns it to the "model" attribute.
+        
+        """
+        
+        if self._mode in ['mean','median','most_frequent']:
+            
+            self.model   = preprocessing.Imputer(strategy=self._mode)
+        
+        else:    
+            self.collect_Rpackage_imputation_()
+            
+            r_verbose_library = 'library(' + self.package_dict[self._mode] + ')'
+            
+            # invoke relevant R library
+            r(r_verbose_library)
+            
+            # Create an imputation object, fill it with some toy data
+            _r_init_commands = {'missForest': 'missForest(data.frame(Data = matrix(c(2, 4, 4, 1, 5, 7))))', 
+                                'MICE': 'mice(data = data.frame(Data = matrix(c(2, 4, NaN, 1, 5, 7), nrow=3, ncol=2)))', 
+                                'EMB': 'amelia(data.frame(Data = matrix(c(2, 4, NaN, 1, 5, 7))), m=5, parallel = "multicore", noms = "Species")',
+                                'matrix_completion': 'softImpute(matrix(rnorm(200*50),200,50)%*%matrix(rnorm(50*100),50,100)+matrix(rnorm(200*100),200,100)/5,rank=2,lambda=0)'}
+
+            r('if (!sink.number()) { sink(file="sinkr.txt")}')  # shut up missForest
+
+            r('model <-' + _r_init_commands[self._mode])
+            
+            self.model   = r.model
+            
+    
+    def set_hyperparameters(self):
+        """
+        Set the imputation model hyper-parameters.
+        
+        """  
+        
+        hyper_dict   = {'mean': [], 'median': [], 'most_frequent': [], 
+                        'MICE': ['Number of Multiple Imputations'], 'missForest': ['Number of Trees'],
+                        'EMB': ['Number of Multiple Imputations'], 'matrix_completion': ['Max Rank', 'Lambda']}
+        
+        _hyp__input  = (self.kwargs.__contains__('_hyperparameters')) # Hyperparameters input FLAG
+        
+        default_dict = {'MICE': {'Number of Multiple Imputations': 5},
+                        'missForest': {'Number of Trees': 100},
+                        'EMB': {'Number of Multiple Imputations': 5},
+                        'matrix_completion': {'Max Rank': 2, 'Lambda': 0}}
+        
+        missing_hyp     = []
+        missing_flg     = False
+        self.hyper_dict = hyper_dict 
+        
+        # cleanup inputs by deleting wrongly provided hyperparameters
+        
+        if _hyp__input:
+            
+            hyper_keys = list(self._hyperparameters.keys())
+            
+            # clean wrong inputs
+            
+            for u in range(len(hyper_keys)):
+                
+                if hyper_keys[u] not in hyper_dict[self._mode]:
+                    self._hyperparameters.pop(hyper_keys[u], None)
+            
+            for u in range(len(hyper_dict[self._mode])):
+                
+                if hyper_dict[self._mode][u] not in hyper_keys:
+                    missing_hyp.append(hyper_dict[self._mode][u])
+                    missing_flg = True
+        else:
+            missing_hyp = hyper_dict[self._mode]
+            missing_flg = True
+            
+        # set defaults if no input provided
+        
+        if self._mode in ['mean','median','most_frequent']:
+            self._hyperparameters  = {}
+            
+        elif missing_flg:
+            
+            # create an empty hyperparameters dictionary 
+            self._hyperparameters = dict.fromkeys(hyper_dict[self._mode])
+            
+            for v in range(len(missing_hyp)):
+                self._hyperparameters[missing_hyp[v]] = default_dict[self._mode][missing_hyp[v]]
+            
+    def collect_Rpackage_imputation_(self):
+        """
+        Creates an R wrapper for imputation alorithms (MICE, EMB, missForest, matrix_completion). 
+        Searches the R packages required, installs them, and assign a model instance in an R object to
+        "model" attribute.
+        
+        """  
+        r_verbose    = 'require("' + self.package_dict[self._mode] + '")'
+    
+        if (r(r_verbose)==0): # Check whether the grf package is installed, if not, install it.
+            
+            # import R's utility package
+            utils    = rpackages.importr('utils')
+            
+            # select a CRAN mirror for R packages
+            utils.chooseCRANmirror(ind=1)
+            utils.install_packages(self.package_dict[self._mode])
+            
+    def get_r_command(self, r_names_dict):
+        """
+        Build the syntax for the imputation R command to execute in the R object.
+        
+        :r_names_dict: names of R variables.
+        """  
+        if self._mode == 'MICE':
+            
+            [rpy2.robjects.r.assign(r_names_dict['MICE'][indx], self._hyperparameters[indx]) for indx in self.hyper_dict['MICE']] 
+            r_command =  'X <- as.matrix(complete(mice(data = X,  m=' + r_names_dict['MICE']['Number of Multiple Imputations'] + ')))'
+        
+        elif self._mode == 'missForest':
+            
+            [rpy2.robjects.r.assign(r_names_dict['missForest'][indx], self._hyperparameters[indx]) for indx in self.hyper_dict['missForest']] 
+            r_command =  'X <- missForest(X, ntree=' + r_names_dict['missForest']['Number of Trees'] + ')$ximp'
+         
+        elif self._mode == 'matrix_completion':
+            
+            [rpy2.robjects.r.assign(r_names_dict['matrix_completion'][indx], self._hyperparameters[indx]) for indx in self.hyper_dict['matrix_completion']] 
+            r_command =  'X <- complete(X,softImpute(X, rank.max = ' + r_names_dict['matrix_completion']['Max Rank'] + ', lambda =' + r_names_dict['matrix_completion']['Lambda'] + '))'
+        
+        elif self._mode == 'EMB':
+            
+            [rpy2.robjects.r.assign(r_names_dict['EMB'][indx], self._hyperparameters[indx]) for indx in self.hyper_dict['EMB']] 
+            r_command =  'X <- amelia(X, m=' + r_names_dict['EMB']['Number of Multiple Imputations'] + ')'
+            
+        return r_command        
+        
+    def fit(self, X):
+        """
+        Impute missing data using the current instance of the imputation model. 
+        
+        :X: Input features with missing data.
+        """  
+        
+        X = np.array(X)
+        
+        # export the data into the r object
+        if self._mode in ['mean','median','most_frequent']:
+            
+            X = self.model.fit_transform(X)
+        
+        else:
+            
+            r_names_dict = {'MICE': {'Number of Multiple Imputations': 'mi'}, 'missForest': {'Number of Trees': 'num_trees'},
+                            'EMB': {'Number of Multiple Imputations': 'mi'}, 'matrix_completion': {'Max Rank': 'rank', 'Lambda':'lambda'}}
+            
+            rpy2.robjects.r.assign('X', X)
+            r_command    = self.get_r_command(r_names_dict)
+
+            self.init_r_sytem()
+            
+            r(r_command)
+            X            = r.X
+        
+        return X
+
+    def init_r_sytem(self):
+
+        if not self.is_init_r_system:
+            self.collect_Rpackage_imputation_()
+            self.is_init_r_system = True
+
+
+class MICE:
+    """ Multiple imputation via chained equations model."""
+    
+    
+    def __init__(self, num_impute=1): 
+
+        self.model_type    = 'imputer'
+        self.name          = 'MICE'
+        self.MI            = bool(num_impute > 1)
+        self.num_impute    = num_impute
+        self.model         = baseImputer(_mode=self.name, 
+                                         _hyperparameters={'Number of Multiple Imputations': self.num_impute})
+        
+    def fit_transform(self, X):
+        
+        return self.model.fit(X)
+        
+    def get_hyperparameter_space(self):
+            
+        hyp_               = [{'name': 'MICE.numimpute', 
+                               'type': 'discrete', 'domain': tuple(range(1,10)), 
+                               'dimensionality': 1}]
+        
+        return hyp_         
+
+
+
+class missForest:
+    """ missForest imputation algorithm."""
+    
+    
+    def __init__(self, num_trees=50): 
+        
+        self.model_type    = 'imputer'
+        self.name          = 'missForest'
+        self.MI            = False
+        self.num_trees     = num_trees
+        self.model         = baseImputer(_mode=self.name, 
+                                         _hyperparameters={'Number of Trees': self.num_trees})
+        
+    def fit_transform(self, X):
+        
+        return self.model.fit(X)
+        
+    def get_hyperparameter_space(self):
+            
+        hyp_               = [{'name': 'missForest.ntrees', 
+                               'type': 'discrete', 'domain': tuple(range(10,1000)), 
+                               'dimensionality': 1}]
+        
+        return hyp_ 
+
+
+
+class EMB:
+    """ Bootsrapped EM imputation algorithm."""
+    
+    
+    def __init__(self, num_impute=1): 
+        
+        self.model_type    = 'imputer'
+        self.name          = 'EMB'
+        self.MI            = bool(num_impute > 1)
+        self.num_impute    = num_impute
+        self.model         = baseImputer(_mode=self.name, 
+                                         _hyperparameters={'Number of Multiple Imputations': self.num_impute})
+        
+    def fit_transform(self, X):
+        
+        return self.model.fit(X)
+        
+    def get_hyperparameter_space(self):
+            
+        hyp_               = [{'name': 'EMB.numimpute', 
+                               'type': 'discrete', 'domain': tuple(range(1,10)), 
+                               'dimensionality': 1}]
+        
+        return hyp_ 
+
+
+class matrix_completion:
+    """ Matrix completion imputation algorithm."""
+    
+    
+    def __init__(self, Max_rank=2, Lambda=0): 
+        
+        self.model_type    = 'imputer'
+        self.name          = 'matrix_completion'
+        self.MI            = False
+        self.Lambda        = Lambda
+        self.Max_rank      = Max_rank
+        self.model         = baseImputer(_mode=self.name, 
+                                         _hyperparameters={'Max Rank': self.Max_rank, 'Lambda': self.Lambda})
+        
+        
+    def fit_transform(self, X):
+        
+        return self.model.fit(X)
+        
+    def get_hyperparameter_space(self):
+            
+        hyp_               = [{'name': 'mcompletion.maxrank', 
+                               'type': 'discrete', 'domain': tuple(range(2,10)), 
+                               'dimensionality': 1}, {'name': 'Lambda', 
+                               'type': 'discrete', 'domain': tuple(range(0,5)), 
+                               'dimensionality': 1}]
+        
+        return hyp_ 
+
+
+
+class mean:
+    """ Mean imputation algorithm."""
+    
+    
+    def __init__(self): 
+        
+        self.model_type    = 'imputer'
+        self.name          = 'mean'
+        self.MI            = False
+        self.model         = baseImputer(_mode=self.name)
+        
+    def fit_transform(self, X):
+        
+        return self.model.fit(X)
+        
+    def get_hyperparameter_space(self):
+            
+        hyp_               = []
+        
+        return hyp_
+    
+
+class median:
+    """ Median imputation algorithm."""
+    
+    
+    def __init__(self): 
+        
+        self.model_type    = 'imputer'
+        self.name          = 'median'
+        self.MI            = False
+        self.model         = baseImputer(_mode=self.name)
+        
+    def fit_transform(self, X):
+        
+        return self.model.fit(X)
+        
+    def get_hyperparameter_space(self):
+            
+        hyp_               = []
+        
+        return hyp_     
+    
+    
+class most_frequent:
+    """ Most frequent imputation algorithm."""
+    
+    
+    def __init__(self): 
+        
+        self.model_type    = 'imputer'
+        self.name          = 'most_frequent'
+        self.MI            = False
+        self.model         = baseImputer(_mode=self.name)
+        
+    def fit_transform(self, X):
+        
+        return self.model.fit(X)
+        
+    def get_hyperparameter_space(self):
+            
+        hyp_               = []
+        
+        return hyp_         
+
diff --git a/alg/autoprognosis/models/preprocessors.py b/alg/autoprognosis/models/preprocessors.py
new file mode 100644
index 00000000..cfcece54
--- /dev/null
+++ b/alg/autoprognosis/models/preprocessors.py
@@ -0,0 +1,262 @@
+
+# Copyright (c) 2019, Ahmed M. Alaa
+# Licensed under the BSD 3-clause license (see LICENSE.txt)
+
+from __future__ import absolute_import, division, print_function
+
+import io
+import json
+import os
+import sys
+
+import pandas as pd
+import numpy as np
+import scipy
+
+from sklearn import preprocessing, random_projection
+from sklearn.preprocessing import PolynomialFeatures
+from sklearn.feature_selection import SelectKBest, chi2, VarianceThreshold
+#SelectFdr, SelectFpr, SelectFwe, SelectPercentile, SelectFromModel
+from sklearn.decomposition import PCA
+from sklearn.cluster import FeatureAgglomeration
+
+from rpy2.robjects import r
+import rpy2.robjects.numpy2ri
+import rpy2.robjects.packages as rpackages
+rpy2.robjects.numpy2ri.activate()
+
+import warnings
+warnings.filterwarnings("ignore")
+
+
+
+class basePreprocessors:
+    
+    """ A parent class for all preprocessors. Particular preprocessors. models will inherit from this class."""
+    
+    def __init__(self):
+        
+        self.model_type    = 'preprocessor'
+        
+    def fit_transform(self, X, Y=None):
+        
+        if Y is None:
+            
+            X_transformed = self.model.fit_transform(X)
+        
+        else:
+            
+            X_transformed = self.model.fit_transform(X, Y)
+        
+        return X_transformed    
+     
+    
+class Scaler(basePreprocessors): 
+    """ Scaler model."""
+    
+    def __init__(self):
+        
+        super().__init__()
+   
+        self.name          = 'Scaler'
+        self.model         = preprocessing.StandardScaler()
+        self.takes_label   = False
+    
+    def get_hyperparameter_space(self):
+        
+        hyp_   = []
+
+        return hyp_ 
+    
+    
+class MinMaxScaler(basePreprocessors): 
+    """ Min-max scaler model."""
+    
+    def __init__(self):
+        
+        super().__init__()
+   
+        self.name          = 'Min-max Scaler'
+        self.model         = preprocessing.MinMaxScaler()
+        self.takes_label   = False
+        
+    def get_hyperparameter_space(self):
+        
+        hyp_   = []
+
+        return hyp_     
+    
+            
+class MaxAbsScaler(basePreprocessors): 
+    """ Max-abs scaler model."""
+    
+    def __init__(self):
+        
+        super().__init__()
+   
+        self.name          = 'Max-abs Scaler'
+        self.model         = preprocessing.MaxAbsScaler()
+        self.takes_label   = False
+        
+    def get_hyperparameter_space(self):
+        
+        hyp_   = []
+
+        return hyp_         
+        
+        
+class UniformTransform(basePreprocessors): 
+    """ Uniform-Transformer scaler model."""
+    
+    def __init__(self):
+        
+        super().__init__()
+   
+        self.name          = 'Uniform Transformer'
+        self.model         = preprocessing.QuantileTransformer()
+        self.takes_label   = False
+        
+    def get_hyperparameter_space(self):
+        
+        hyp_   = []
+
+        return hyp_         
+                
+        
+class GaussianTransform(basePreprocessors): 
+    """ Gaussian-Transformer scaler model."""
+    
+    def __init__(self):
+        
+        super().__init__()
+   
+        self.name          = 'Gaussian Transformer'
+        self.model         = preprocessing.QuantileTransformer(output_distribution='normal')
+        self.takes_label   = False
+        
+    def get_hyperparameter_space(self):
+        
+        hyp_   = []
+
+        return hyp_           
+
+    
+class FeatureNormalizer(basePreprocessors): 
+    """ L2 normalization model for every sample."""
+    
+    def __init__(self):
+        
+        super().__init__()
+   
+        self.name          = 'Normalization'
+        self.model         = preprocessing.Normalizer()
+        self.takes_label   = False
+        
+    def get_hyperparameter_space(self):
+        
+        hyp_   = []
+
+        return hyp_    
+    
+    
+class PolynomialTransform(basePreprocessors): 
+    """ Model for generating polynomial features."""
+    
+    def __init__(self, ndegree=2):
+        
+        super().__init__()
+   
+        self.name          = 'Polynomial features'
+        self.ndegree       = ndegree
+        self.model         = PolynomialFeatures(ndegree)
+        self.takes_label   = False
+        
+    def get_hyperparameter_space(self):
+        
+        hyp_   = [{'name': 'PolynomialFeatures.ndegree', 'type': 'discrete', 'domain': tuple(range(2,5)),'dimensionality': 1}]
+
+        return hyp_  
+    
+    
+class GaussProjection(basePreprocessors): 
+    """ Gaussian random projections."""
+    
+    def __init__(self, maxcomponents=5, ncomponents=2):
+        
+        super().__init__()
+   
+        self.name          = 'Gaussian random projections'
+        self.ncomponents   = ncomponents
+        self.maxcomponents = maxcomponents
+        self.model         = random_projection.GaussianRandomProjection(n_components=ncomponents)
+        self.takes_label   = False
+        
+    def get_hyperparameter_space(self):
+        
+        hyp_   = [{'name': 'GaussProjection.ncomponents', 'type': 'discrete', 
+                   'domain': tuple(range(2,self.maxcomponents)),'dimensionality': 1}]
+
+        return hyp_      
+    
+    
+class PrincipalComponentAnalysis(basePreprocessors): 
+    """ PCA dimensionality reduction."""
+    
+    def __init__(self, maxcomponents=5, ncomponents=2):
+        
+        super().__init__()
+   
+        self.name          = 'PCA'
+        self.ncomponents   = ncomponents
+        self.maxcomponents = maxcomponents
+        self.model         = PCA(n_components=ncomponents)
+        self.takes_label   = False
+        
+    def get_hyperparameter_space(self):
+        
+        hyp_   = [{'name': 'PCA.ncomponents', 'type': 'discrete', 
+                   'domain': tuple(range(2, self.maxcomponents)),'dimensionality': 1}]
+
+        return hyp_       
+
+    
+class FeatureSelectionVariance(basePreprocessors): 
+    """ Feature selection based on variance threshold for dimensionality reduction."""
+    
+    def __init__(self, threshold=0.001):
+        
+        super().__init__()
+   
+        self.name          = 'Feature selection by variance threshold'
+        self.threshold     = threshold
+        self.model         = VarianceThreshold(threshold=threshold)
+        self.takes_label   = False
+        
+    def get_hyperparameter_space(self):
+        
+        hyp_   = [{'name': 'FeatureSelectionVariance.threshold', 'type': 'continuous', 
+                   'domain': (0,1), 'dimensionality': 1}]
+
+        return hyp_     
+    
+    
+class FeatureSelection(basePreprocessors): 
+    """ Select K best dimensionality reduction."""
+    
+    def __init__(self, maxfeatures=5, nfeatures=2):
+        
+        super().__init__()
+   
+        self.name          = 'SelectKBest'
+        self.nfeatures     = nfeatures
+        self.maxfeatures   = maxfeatures
+        self.model         = SelectKBest(chi2, k=nfeatures)
+        self.takes_label   = True
+        
+    def get_hyperparameter_space(self):
+        
+        hyp_   = [{'name': 'SelectKBest.nfeatures', 'type': 'discrete', 
+                   'domain': tuple(range(2, self.maxfeatures)),'dimensionality': 1}]
+
+        return hyp_       
+
diff --git a/alg/autoprognosis/pipelines/basePipeline.py b/alg/autoprognosis/pipelines/basePipeline.py
new file mode 100644
index 00000000..e3d89c11
--- /dev/null
+++ b/alg/autoprognosis/pipelines/basePipeline.py
@@ -0,0 +1,198 @@
+
+# Copyright (c) 2019, Ahmed M. Alaa
+# Licensed under the BSD 3-clause license (see LICENSE.txt)
+
+from __future__ import absolute_import
+import itertools
+import warnings
+import time
+import logging
+import numpy as np
+warnings.filterwarnings("ignore")
+
+logger = logging.getLogger()
+
+
+class basePipeline:
+    
+    """
+    Base class for pipeline objects.
+
+    """
+
+    def __init__(self, 
+                 analysis_mode=None,
+                 analysis_type=None, 
+                 model_list=None,
+                 hyperparameter_list=None,
+                 **kwargs):
+
+        self.model_list = model_list
+        self.explained = '-todo: explain basepipeline-'
+        self.image_name = None
+        self.classes = None
+        if self.model_list is not None:
+
+            self.num_stages      = len(self.model_list)
+            self.pipeline_stages = [self.model_list[k].model_type for k in range(len(self.model_list))]
+
+            self.name = '[ '
+            self.explained = '[ '
+            for u in range(self.num_stages):
+
+                if hasattr(self.model_list[u], 'explained'):
+                    self.explained += self.model_list[u].explained
+                self.name += self.model_list[u].name
+
+                if u != self.num_stages-1:
+
+                    self.name += ', '
+                    self.explained += ', '
+
+            self.name = self.name + ' ]'
+            self.explained += ' ]'
+        
+        self.analysis_mode       = analysis_mode
+        self.analysis_type       = analysis_type
+        
+        # check this is a valid pipeline
+        # self.set_hyperparameters
+        # order pipeline stages for fit and predict
+    
+    def CHECK_VALIDITY(self, pipeline):
+        
+        self.VALIDITY_FLAG = True
+        mandatory_stages   = ['classifier']
+        
+        stage_unique       = len(np.unique(np.array(self.pipeline_stages))) < len(self.pipeline_stages)
+        mandatory_stage    = True
+        
+        if not (stage_unique and mandatory_stage):
+            
+            self.VALIDITY_FLAG = False
+    
+        return self.VALIDITY_FLAG
+    
+
+    def fit(self, X, Y, **kwargs):
+        
+        """
+        Fit the selected algorithm to the training data.
+        Parameters
+        ----------
+        X : array-like training data with shape = (n_samples, n_features)
+        Y : array-like labels/targets/resposes
+        
+        **kwargs: extra inputs may be needed for analysis types other than classification and regression.
+        
+        Returns
+        -------
+        All the stages in the pipeline are fit with (X, Y) if the pipeline stage has attribute "fit" 
+        and (X) only if the pipeline stage has attribute "fit_transform"
+            
+        """
+        fit_start = time.time()
+        
+        X_temp = X
+
+        logger.info('+basepipeline::fit y:{},{} {} nstages:{} {} prop:{}'.format(
+            len(Y),
+            list(set(np.ravel(Y))),
+            self.name,
+            self.num_stages,
+            self.pipeline_stages,
+            self.get_properties()))
+
+        for u in range(self.num_stages):
+
+            if hasattr(self.model_list[u], 'fit_transform'): # This should be just a transform
+
+                X_temp = np.array(self.model_list[u].fit_transform(X_temp)).copy()
+
+            else:
+
+                self.model_list[u].fit(X_temp, Y)
+
+            if self.pipeline_stages[u] == 'classifier':
+
+                classes = list(self.model_list[u].model.classes_)
+                logger.debug('clf classes:{} ordered:{}'.format(classes, sorted(classes)))
+                assert sorted(classes) == classes # this assumption must hold for multiclass when calculating the score
+            
+        logger.info('-basepipeline::fit {:0.0f}s'.format(time.time() - fit_start))
+
+
+
+    def predict(self, X):
+        
+        """
+        
+        Predict the target output using the selected model.
+        Parameters
+        ----------
+        X     : array-like testing input with shape = (n_samples, n_features)
+
+        Returns
+        -------
+        Y_pred: Predicted target with shape=(n_samples,) 
+            
+        """
+        X_temp = X
+        
+        for u in range(self.num_stages):
+            
+            if hasattr(self.model_list[u], 'fit_transform'):
+
+                X_temp = self.model_list[u].fit_transform(X_temp)
+            
+            else:
+ 
+                X_temp = self.model_list[u].predict(X_temp)
+        
+        Y_pred = X_temp 
+
+        return Y_pred
+
+
+    def get_hyperparameter_space(self):
+        
+        """
+        
+        Return the hyperparameter space for the pipeline object.
+        
+        Returns
+        -------
+        hyp_ : The standardized hyperparameter dictionary following the same format as the base models.
+               This dictionary object will be passed to the Bayesian optimization function.
+        
+        """
+        
+        hyp_= []
+        
+        if self.model_list is not None:
+            
+            for model_ in self.model_list:
+                
+                if hasattr(model_, 'get_hyperparameter_space'):
+                    
+                    hyp_.append(model_.get_hyperparameter_space())
+            
+            
+            hyp_ = list(itertools.chain.from_iterable(hyp_))
+            
+        return hyp_
+
+    def get_is_pred_proba(self):
+        print(self.name)
+        for u in range(self.num_stages):
+            if self.pipeline_stages[u] == 'classifier':
+                return self.model_list[u].is_pred_proba
+        
+    def get_properties(self):
+        name_lst = list()
+        for u in range(self.num_stages):
+            if hasattr(self.model_list[u], 'get_properties'): 
+                name_lst.append(self.model_list[u].get_properties())
+            else:
+                name_lst.append({'name': self.model_list[u].name})
+        return name_lst
diff --git a/alg/autoprognosis/test_autoprognosis.py b/alg/autoprognosis/test_autoprognosis.py
new file mode 100644
index 00000000..94f54757
--- /dev/null
+++ b/alg/autoprognosis/test_autoprognosis.py
@@ -0,0 +1,156 @@
+'''
+Example/Test script for autoprognosis
+'''
+from subprocess import call
+import sys
+import os
+import argparse
+import re
+import json
+from pathlib import Path
+import initpath_ap
+initpath_ap.init_sys_path()
+import utilmlab
+import tempfile
+from sklearn.datasets import load_breast_cancer
+from sklearn.datasets import fetch_covtype
+import pandas as pd
+
+
+def set_filenames(odir):
+    utilmlab.ensure_dir(odir)
+    fn_csv = '{}/data.csv.gz'.format(odir)
+    return fn_csv
+
+
+def init_arg():
+    parser = argparse.ArgumentParser()
+    parser.add_argument('--exe', help='python interpreter to use')
+    parser.add_argument('--projdir')
+    parser.add_argument('--verbose', type=int, default=0)
+    parser.add_argument('--it', type=int, default=20)
+    parser.add_argument('--nstage', type=int, default=0)
+    return parser.parse_args()
+
+
+def get_temp_filename():
+    f_tmp = tempfile.NamedTemporaryFile()  # need a temporally filename
+    f_tmp.close()
+    return f_tmp.name
+
+
+if __name__ == '__main__':
+
+    args = init_arg()
+
+    fn_model = get_temp_filename()
+
+    verbose = args.verbose
+    niter = args.it
+    nstage = args.nstage
+
+    if args.exe is not None:
+        python_exe = args.exe
+    else:
+        python_exe = 'python' if sys.version_info[0] < 3 else 'python3'
+
+    version = 1
+
+    resdir = '{}/result/autoprognosis/v_{}/h_{}'.format(
+        utilmlab.get_proj_dir(),
+        version,
+        os.environ['HOSTNAME'] if 'HOSTNAME' in os.environ else 'unknown')
+
+    utilmlab.ensure_dir(resdir)
+
+    logger = utilmlab.init_logger(resdir, 'log_test_autoprognosis.txt')
+
+    result_all_d = dict()
+
+    for dataset, nsample, sep in [
+            ('bc', 0, ','), 
+            ('cover', 5000, ';')]:
+    
+        odir = '{}/misc/dataset_{}'.format(resdir, dataset)
+
+        fn_csv = set_filenames(odir)
+
+        proj_dir = utilmlab.get_proj_dir() if args.projdir is None \
+            else args.projdir
+        script = Path('{}/alg/autoprognosis/autoprognosis.py'.format(proj_dir))
+        script_report = Path(
+            '{}/alg/autoprognosis/autoprognosis_report.py'.format(
+                proj_dir))
+        script_predict = Path(
+            '{}/alg/autoprognosis/autoprognosis_predict.py'.format(
+                proj_dir))
+
+        if dataset == 'bc':
+            # from sklearn: A copy of UCI ML Breast
+            # Cancer Wisconsin (Diagnostic) dataset
+            x, y = load_breast_cancer(return_X_y=True)
+        elif dataset == 'cover':
+            x, y = fetch_covtype(return_X_y=True)
+        else:
+            assert 0
+        lbl = 'target'
+        df = pd.DataFrame(x)
+        df[lbl] = y
+        df.to_csv(fn_csv, index=False, compression='gzip', sep=sep)
+
+        utilmlab.exe_cmd(
+            logger,
+            '{} {} -i {} --target {} -o {} --verbose {} --it {} -n {} --separator {}'.format(
+                python_exe,
+                script,
+                fn_csv,
+                lbl,
+                resdir,
+                verbose,
+                niter,
+                nsample,
+                sep
+            ))
+
+        utilmlab.exe_cmd(
+            logger,
+            '{} {} -i {} -o {} --verbose {} --it {} --target {} --model {} --separator {}'
+            ' --nstage {} -n {}'.format(
+                python_exe,
+                script,
+                fn_csv,
+                resdir,
+                verbose,
+                niter,
+                lbl,
+                fn_model,
+                sep,
+                nstage,
+                nsample,
+            ))
+
+        fn_evaluate = '{}/eva.json'.format(resdir)
+        fn_ocsv = '{}/predict.csv'.format(resdir)
+        utilmlab.exe_cmd(
+            logger,
+            '{} {} -i {} --target {} --model {} --evaluate {} -o {} --separator {}'.format(
+                python_exe,
+                script_predict,
+                fn_csv,
+                lbl,
+                fn_model,
+                fn_evaluate,
+                fn_ocsv,
+                sep
+            ))
+
+        fn = '{}/result.json'.format(resdir)
+        with open(fn) as f:
+            result_d = json.load(f)
+        print(result_d)
+        os.unlink(fn_model)
+
+        fn = '{}/report.json'.format(resdir)
+        with open(fn) as f:
+            report_d = json.load(f)
+        print(report_d)
diff --git a/alg/autoprognosis/tutorial_autoprognosis_api.ipynb b/alg/autoprognosis/tutorial_autoprognosis_api.ipynb
new file mode 100644
index 00000000..efab168e
--- /dev/null
+++ b/alg/autoprognosis/tutorial_autoprognosis_api.ipynb
@@ -0,0 +1,189 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## AutoPrognosis API Tutorial\n",
+    "\n",
+    "A demonstration for AP functionality and operation"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "This tutorial shows how to use [Autoprognosis](https://arxiv.org/abs/1802.07207). We are using the UCI Spam dataset.\n",
+    "\n",
+    "See [installation instructions](../../doc/install.md) to install the dependencies.\n",
+    "\n",
+    "Load dataset and show the first five samples:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import initpath_ap\n",
+    "initpath_ap.init_sys_path()\n",
+    "import utilmlab\n",
+    "\n",
+    "df = pd.read_csv('{}/spambase.csv.gz'.format(utilmlab.get_data_dir()))  # get UCI spam dataset\n",
+    "target = 'label'\n",
+    "features = list(df.columns)\n",
+    "features.remove(target)\n",
+    "\n",
+    "X_ = df[features]\n",
+    "Y_ = df[target]\n",
+    "\n",
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Import the AutoPrognosis library"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import model"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Run the model with few iterations"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "metric = 'aucprc'\n",
+    "acquisition_type = 'MPI' # default and prefered is LCB but this generates excessive warnings, MPI is a good compromise.\n",
+    "AP_mdl   = model.AutoPrognosis_Classifier(\n",
+    "    metric=metric, CV=5, num_iter=3, kernel_freq=100, ensemble=True,\n",
+    "    ensemble_size=3, Gibbs_iter=100, burn_in=50, num_components=3, \n",
+    "    acquisition_type=acquisition_type)\n",
+    "\n",
+    "AP_mdl.fit(X_, Y_)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Computing model predictions"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "##### ~~~First element in the output is the predictions of a single model, the second element is the prediction of the ensemble~~~"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "AP_mdl.predict(X_)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Compute performance via multi-fold cross-validation"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "model.evaluate_ens(X_, Y_, AP_mdl, n_folds=5, visualize=True)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Visualize data..."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "AP_mdl.visualize_data(X_)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Visualize the model..."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "AP_mdl.APReport()"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.2"
+  },
+  "widgets": {
+   "state": {
+    "ae2247bc9bce48eb8029f99a63977bc7": {
+     "views": [
+      {
+       "cell_index": 6
+      }
+     ]
+    }
+   },
+   "version": "1.2.0"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/alg/autoprognosis/tutorial_autoprognosis_cli.ipynb b/alg/autoprognosis/tutorial_autoprognosis_cli.ipynb
new file mode 100644
index 00000000..3ede13cd
--- /dev/null
+++ b/alg/autoprognosis/tutorial_autoprognosis_cli.ipynb
@@ -0,0 +1,96 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Tutorial Autoprognosis\n",
+    "\n",
+    "## Automated Clinical Prognostic Modeling \n",
+    "\n",
+    "This tutorial shows how to use [Autoprognosis](https://arxiv.org/abs/1802.07207). We are using the UCI spam dataset.\n",
+    "\n",
+    "See [installation instructions](../../doc/install.md) to install the dependencies.\n",
+    "\n",
+    "Load dataset and show the first five samples:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import initpath_ap\n",
+    "initpath_ap.init_sys_path()\n",
+    "import utilmlab\n",
+    "\n",
+    "fn_csv = '{}/spambase.csv.gz'.format(utilmlab.get_data_dir())\n",
+    "df = pd.read_csv(fn_csv)  # get UCI spam dataset\n",
+    "target = 'label'\n",
+    "\n",
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Run autoprognosis for a number of iterations"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "python_exe = 'python3' # on some platforms the name of the python3.6 executable is python or python3.6\n",
+    "odir = \".\"   # output directory\n",
+    "verboselevel = 0  \n",
+    "niter = 3  # number of interations\n",
+    "nstage = 1 # number of components in the pipeline: 1:classifiers, 2:feature processing + classifier: 3:imputation + ...\n",
+    "acquisition_type = 'MPI' # default and prefered is LCB but this generates excessive warnings, MPI is a good compromise.\n",
+    "!python3 autoprognosis.py -i {fn_csv} -o {odir} --target {target} --verbose {verboselevel} --nstage 1 --it  {niter} --acquisitiontype {acquisition_type}"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Display results"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "!{python_exe} autoprognosis_report.py -i {odir}"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.2"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/alg/c3t_budgets/+func/C3T_Budget.m b/alg/c3t_budgets/+func/C3T_Budget.m
new file mode 100644
index 00000000..ff8eff6e
--- /dev/null
+++ b/alg/c3t_budgets/+func/C3T_Budget.m
@@ -0,0 +1,233 @@
+function [rec, cum_eff, cum_tox, cum_s, typeI, typeII, q_mse] = ...
+    C3T_Budget(T, B, S, K, pats, arr_rate, tox_thre, eff_thre, p_true, q_true, opt_ind)
+% C3T_Budget  Simulated trial with C3T-Budget
+%   Input
+%     T        : time-horizon
+%     B        : budget
+%     S        : number of subgroups
+%     K        : number of doses
+%     pats     : generated patients arrivals
+%     arr_rate : patients arrival rate
+%     tox_thre : toxicity threshold
+%     eff_thre : efficacy threshold
+%     p_true   : toxicity probabilities
+%     q_true   : efficacy probabilities
+%     opt_ind  : MTD doses
+%   Output
+%     rec      : dose recommendation
+%     cum_eff  : cumulative efficacy
+%     cum_tox  : cumulative toxicity
+%     cum_s    : cumulative recruitment of each subgroup
+%     typeI    : type-I error for dose safety
+%     typeII   : type-II error for dose safety
+%     q_mse    : mean squared error of efficacy
+
+% output
+rec = zeros(S, K+1);
+cum_s = zeros(S, T);
+cum_eff = zeros(1, B);
+cum_tox = zeros(1, B);
+rec_err = zeros(1, S);
+typeI = zeros(1, S);
+typeII = zeros(1, S);
+q_mse = zeros(S, K, T);
+
+
+% define variables and parameters
+arrive_dist = arr_rate / sum(arr_rate);
+
+eff_temp = 0;
+tox_temp = 0;
+
+a0 = 1 / 2; % initialize a
+a_max = 1;
+c = 0.5;
+delta = 1 / B * S * ones(1, S);
+
+eff_w = 0.6;
+
+
+% calculate dose level for each subgroup
+d_func = @(x)1 / 2 .* log((1 + x)./(1 - x));
+toxicity = @(x, a)((tanh(x) + 1) / 2).^a;
+d = zeros(S, K);
+for s = 1:S
+    d(s, :) = d_func((p_true(s, :).^(1 / a0) .* 2. - 1));
+end
+
+t = 1; %trial
+b = 0; %budget
+
+s_arrive = zeros(1, S);
+n_choose = zeros(S, K); %number of selection
+p_hat = zeros(S, K); %estimated toxicity
+q_bar = zeros(S, K); %estimated efficacy
+q_hat = zeros(S, K); %estimated efficacy
+
+alpha = zeros(1, S);
+D = zeros(S, K);
+a_hat = zeros(S, T); %estimated overall a
+ak_hat = ones(S, K) * a0; % estimated individual a
+
+
+% variables for expected improvement
+q_a = ones(S, K);
+q_b = ones(S, K);
+q_ei = zeros(S, K);
+q_ei_opt = zeros(S, K, T);
+g_ei_p = zeros(S, T);
+
+
+I = zeros(1, T);
+X = zeros(1, T);
+Y = zeros(1, T);
+H = pats;
+Z = zeros(1, T);
+
+while t <= T && b < B
+    for s = 1:S
+        [~, I_est] = max(n_choose(s, :));
+        a_hat(s, t) = ak_hat(s, I_est);
+    end
+    q_ei_opt(:, :, t) = q_ei;
+    q_mse(:, :, t) = abs(q_true-q_bar).^2;
+
+    curr_s = H(t);
+    s_arrive(curr_s) = s_arrive(curr_s) + 1;
+
+    if s_arrive(H(t)) < K + 1 % initialize
+        I(t) = mod(s_arrive(H(t))-1, K) + 1;
+        n_choose(curr_s, I(t)) = 1;
+        X(t) = rand() <= q_true(curr_s, I(t));
+        eff_temp = eff_temp + X(t);
+        Y(t) = rand() <= p_true(I(t));
+        tox_temp = tox_temp + Y(t);
+        q_bar(curr_s, I(t)) = X(t);
+        q_a(curr_s, I(t)) = q_a(curr_s, I(t)) + X(t);
+        q_b(curr_s, I(t)) = q_b(curr_s, I(t)) + 1 - X(t);
+        for k = 1:K
+            q_hat(curr_s, k) = func.UCB_ind(q_bar(curr_s, k), c, n_choose(curr_s, k), sum(n_choose(curr_s, :)));
+        end
+        q_ei(curr_s, I(t)) = func.EI(q_a(curr_s, I(t)), q_b(curr_s, I(t)));
+        p_hat(curr_s, I(t)) = Y(t);
+        Z(t) = 1;
+        b = b + 1;
+        cum_eff(b) = eff_temp;
+        cum_tox(b) = tox_temp;
+    else
+        rho = (B - b) / (T - t + 1);
+        table = zeros(S, 4);
+        for s = 1:S
+            alpha(s) = func.alpha_func(d(s, :), K, delta(s), sum(n_choose(s, :))); % calculate alpha
+            D(s, :) = toxicity(d(s, :), a_hat(s, t)) <= tox_thre; % available set
+
+            [Ix, Ii] = max(q_hat(s, :).*D(s, :));
+            if q_bar(s, Ii) * eff_w + Ix * (1 - eff_w) >= eff_thre
+                table(s, 1) = q_ei(s, Ii);
+            else
+                table(s, 1) = 0;
+            end
+            g_ei_p(s, t) = q_ei(s, Ii);
+            table(s, 2) = q_hat(s, Ii);
+        end
+        table(:, 3) = 1:S;
+        table(:, 4) = arrive_dist;
+        table = sortrows(table, [1, 2], 'descend');
+
+        tilde_s = 1;
+        tmp_dist = table(tilde_s, 4);
+        while tmp_dist <= rho && tilde_s < S
+            tilde_s = tilde_s + 1;
+            tmp_dist = tmp_dist + table(tilde_s, 4);
+        end
+        tilde_s = tilde_s - 1;
+
+        % LP solution
+        dose_prob = zeros(S, 1);
+        if tilde_s > 0
+            dose_prob(table(1:tilde_s, 3)) = 1;
+            dose_prob(table(tilde_s+1, 3)) = (rho - sum(table(1:tilde_s, 4))) / table(tilde_s+1, 4);
+            if tilde_s + 2 <= S
+                dose_prob(table(tilde_s+2:end, 3)) = 0;
+            end
+        end
+
+        % determine to skip or not
+        if dose_prob(curr_s) >= rand() % take dose
+            [~, Ii] = max(q_hat(curr_s, :).*D(curr_s, :));
+            I(t) = Ii(1);
+            X(t) = rand() <= q_true(curr_s, I(t));
+            eff_temp = eff_temp + X(t);
+            Y(t) = rand() <= p_true(curr_s, I(t));
+            tox_temp = tox_temp + Y(t);
+            q_bar(curr_s, I(t)) = (q_bar(curr_s, I(t)) * n_choose(curr_s, I(t)) + X(t)) / (n_choose(curr_s, I(t)) + 1);
+            p_hat(curr_s, I(t)) = (p_hat(curr_s, I(t)) * n_choose(curr_s, I(t)) + Y(t)) / (n_choose(curr_s, I(t)) + 1);
+            n_choose(curr_s, I(t)) = n_choose(curr_s, I(t)) + 1;
+            Z(t) = 1;
+            b = b + 1;
+            q_a(curr_s, I(t)) = q_a(curr_s, I(t)) + X(t);
+            q_b(curr_s, I(t)) = q_b(curr_s, I(t)) + 1 - X(t);
+            for k = 1:K
+                q_hat(curr_s, k) = func.UCB_ind(q_bar(curr_s, k), c, n_choose(curr_s, k), sum(n_choose(curr_s, :)));
+            end
+            q_ei(curr_s, I(t)) = func.EI(q_a(curr_s, I(t)), q_b(curr_s, I(t)));
+            cum_eff(b) = eff_temp;
+            cum_tox(b) = tox_temp;
+        else % skip patient
+            X(t) = -1;
+            Y(t) = -1;
+            Z(t) = 0;
+        end
+
+    end
+    if I(t) ~= 0
+        ak_hat(curr_s, I(t)) = log(p_hat(curr_s, I(t))) / log((tanh(d(curr_s, I(t))) + 1)/2);
+        if ak_hat(curr_s, I(t)) > a_max
+            ak_hat(curr_s, I(t)) = a_max;
+        end
+    end
+    t = t + 1;
+end
+
+
+% recommendation and observe results
+a_hat_fin = zeros(1, S);
+p_out = zeros(S, K);
+
+for s = 1:S
+    [~, I_est] = max(n_choose(s, :));
+    a_hat_fin(s) = ak_hat(s, I_est);
+    p_out(s, :) = toxicity(d(s, :), a_hat_fin(s));
+    [Ix, Ii] = max(q_bar(s, :).*(p_out(s, :) <= tox_thre));
+    if Ix >= eff_thre
+        rec(s, Ii) = 1;
+    else
+        rec(s, K+1) = 1;
+        Ii = K + 1;
+    end
+    if Ii ~= opt_ind(s)
+        rec_err(s) = 1;
+    end
+    for i = 1:K
+        if p_true(s, i) <= tox_thre && p_out(s, i) > tox_thre
+            typeI(s) = typeI(s) + 1;
+        else
+            if p_true(s, i) > tox_thre && p_out(s, i) <= tox_thre
+                typeII(s) = typeII(s) + 1;
+            end
+        end
+    end
+end
+
+if t <= T
+    q_mse(:, :, t:T) = repmat(q_mse(:, :, t-1), [1, 1, T - t + 1]);
+end
+
+for tau = 1:t - 1
+    if X(tau) > -1
+        cum_s(H(tau), tau:end) = cum_s(H(tau), tau:end) + 1;
+    end
+end
+
+typeI = typeI / K;
+typeII = typeII / K;
diff --git a/alg/c3t_budgets/+func/C3T_Budget_E.m b/alg/c3t_budgets/+func/C3T_Budget_E.m
new file mode 100644
index 00000000..76456842
--- /dev/null
+++ b/alg/c3t_budgets/+func/C3T_Budget_E.m
@@ -0,0 +1,218 @@
+function [rec, cum_eff, cum_tox, cum_s, typeI, typeII, q_mse] = ...
+    C3T_Budget_E(T, B, S, K, pats, arr_rate, tox_thre, eff_thre, p_true, q_true, opt_ind)
+% C3T_Budget_E  Simulated trial with C3T-Budget-E
+%   Input
+%     T        : time-horizon
+%     B        : budget
+%     S        : number of subgroups
+%     K        : number of doses
+%     pats     : generated patients arrivals
+%     arr_rate : patients arrival rate
+%     tox_thre : toxicity threshold
+%     eff_thre : efficacy threshold
+%     p_true   : toxicity probabilities
+%     q_true   : efficacy probabilities
+%     opt_ind  : MTD doses
+%   Output
+%     rec      : dose recommendation
+%     cum_eff  : cumulative efficacy
+%     cum_tox  : cumulative toxicity
+%     cum_s    : cumulative recruitment of each subgroup
+%     typeI    : type-I error for dose safety
+%     typeII   : type-II error for dose safety
+%     q_mse    : mean squared error of efficacy
+
+% output
+rec = zeros(S, K+1);
+cum_s = zeros(S, T);
+cum_eff = zeros(1, B);
+cum_tox = zeros(1, B);
+rec_err = zeros(1, S);
+typeI = zeros(1, S);
+typeII = zeros(1, S);
+q_mse = zeros(S, K, T);
+
+
+% define variables and parameters
+arrive_dist = arr_rate / sum(arr_rate);
+
+eff_temp = 0;
+tox_temp = 0;
+
+a0 = 1 / 2; % initialize a
+a_max = 1;
+c = 0.5;
+delta = 1 / B * S * ones(1, S);
+
+eff_w = 0.6;
+
+
+% calculate dose level for each subgroup
+d_func = @(x)1 / 2 .* log((1 + x)./(1 - x));
+toxicity = @(x, a)((tanh(x) + 1) / 2).^a;
+d = zeros(S, K);
+for s = 1:S
+    d(s, :) = d_func((p_true(s, :).^(1 / a0) .* 2. - 1));
+end
+
+t = 1; % trial
+b = 0; % budget
+
+s_arrive = zeros(1, S);
+n_choose = zeros(S, K); % number of selection
+p_hat = zeros(S, K); % estimated toxicity
+q_bar = zeros(S, K); % estimated efficacy
+q_hat = zeros(S, K); % estimated efficacy
+
+alpha = zeros(1, S);
+D = zeros(S, K);
+a_hat = zeros(S, T); % estimated overall a
+ak_hat = ones(S, K) * a0; % estimated individual a
+
+I = zeros(1, T);
+X = zeros(1, T);
+Y = zeros(1, T);
+H = pats;
+Z = zeros(1, T);
+
+while t <= T && b < B
+    for s = 1:S
+        [~, I_est] = max(n_choose(s, :));
+        a_hat(s, t) = ak_hat(s, I_est);
+    end
+
+    q_mse(:, :, t) = abs(q_true-q_bar).^2;
+
+    curr_s = H(t);
+    s_arrive(curr_s) = s_arrive(curr_s) + 1;
+
+    if s_arrive(H(t)) < K + 1 % initialize
+        I(t) = s_arrive(H(t));
+        n_choose(curr_s, I(t)) = 1;
+        X(t) = binornd(1, q_true(curr_s, I(t)));
+        eff_temp = eff_temp + X(t);
+        Y(t) = binornd(1, p_true(I(t)));
+        tox_temp = tox_temp + Y(t);
+        q_bar(curr_s, I(t)) = X(t);
+        for k = 1:K
+            q_hat(curr_s, k) = func.UCB_ind(q_bar(curr_s, k), c, n_choose(curr_s, k), sum(n_choose(curr_s, :)));
+        end
+        p_hat(curr_s, I(t)) = Y(t);
+        Z(t) = 1;
+        b = b + 1;
+        cum_eff(b) = eff_temp;
+        cum_tox(b) = tox_temp;
+    else
+        rho = (B - b) / (T - t + 1);
+        table = zeros(S, 3);
+        for s = 1:S
+            alpha(s) = func.alpha_func(d(s, :), K, delta(s), sum(n_choose(s, :))); % calculate alpha
+            D(s, :) = toxicity(d(s, :), a_hat(s, t)) <= tox_thre; % available set
+
+            [Ix, Ii] = max(q_hat(s, :).*D(s, :));
+
+            if q_bar(s, Ii) * eff_w + Ix * (1 - eff_w) >= eff_thre
+                table(s, 1) = Ix;
+            else
+                table(s, 1) = 0;
+            end
+        end
+        table(:, 2) = 1:S;
+        table(:, 3) = arrive_dist;
+        table = sortrows(table, 'descend');
+
+        tilde_s = 1;
+        tmp_dist = table(tilde_s, 3);
+        while tmp_dist <= rho && tilde_s < S
+            tilde_s = tilde_s + 1;
+            tmp_dist = tmp_dist + table(tilde_s, 3);
+        end
+        tilde_s = tilde_s - 1;
+
+        % LP solution
+        dose_prob = zeros(S, 1);
+        if tilde_s > 0
+            dose_prob(table(1:tilde_s, 2)) = 1;
+            dose_prob(table(tilde_s+1, 2)) = (rho - sum(table(1:tilde_s, 3))) / table(tilde_s+1, 3);
+            if tilde_s + 2 <= S
+                dose_prob(table(tilde_s+2:end, 2)) = 0;
+            end
+        end
+
+        % determine to skip or not
+        if dose_prob(curr_s) >= rand() % take dose
+            [~, Ii] = max(q_hat(curr_s, :).*D(curr_s, :));
+            I(t) = Ii(1);
+            X(t) = binornd(1, q_true(curr_s, I(t)));
+            eff_temp = eff_temp + X(t);
+            Y(t) = binornd(1, p_true(curr_s, I(t)));
+            tox_temp = tox_temp + Y(t);
+            q_bar(curr_s, I(t)) = (q_bar(curr_s, I(t)) * n_choose(curr_s, I(t)) + X(t)) / (n_choose(curr_s, I(t)) + 1);
+            p_hat(curr_s, I(t)) = (p_hat(curr_s, I(t)) * n_choose(curr_s, I(t)) + Y(t)) / (n_choose(curr_s, I(t)) + 1);
+            n_choose(curr_s, I(t)) = n_choose(curr_s, I(t)) + 1;
+            Z(t) = 1;
+            b = b + 1;
+            for k = 1:K
+                q_hat(curr_s, k) = func.UCB_ind(q_bar(curr_s, k), c, n_choose(curr_s, k), sum(n_choose(curr_s, :)));
+            end
+            cum_eff(b) = eff_temp;
+            cum_tox(b) = tox_temp;
+        else % skip patient
+            X(t) = -1;
+            Y(t) = -1;
+            Z(t) = 0;
+        end
+
+    end
+    if I(t) ~= 0
+        ak_hat(curr_s, I(t)) = log(p_hat(curr_s, I(t))) / log((tanh(d(curr_s, I(t))) + 1)/2);
+        if ak_hat(curr_s, I(t)) > a_max
+            ak_hat(curr_s, I(t)) = a_max;
+        end
+    end
+    t = t + 1;
+end
+
+
+% recommendation and observe results
+a_hat_fin = zeros(1, S);
+p_out = zeros(S, K);
+
+for s = 1:S
+    [~, I_est] = max(n_choose(s, :));
+    a_hat_fin(s) = ak_hat(s, I_est);
+    p_out(s, :) = toxicity(d(s, :), a_hat_fin(s));
+    [Ix, Ii] = max(q_bar(s, :).*(p_out(s, :) <= tox_thre));
+    if Ix >= eff_thre
+        rec(s, Ii) = 1;
+    else
+        rec(s, K+1) = 1;
+        Ii = K + 1;
+    end
+    if Ii ~= opt_ind(s)
+        rec_err(s) = 1;
+    end
+    for i = 1:K
+        if p_true(s, i) <= tox_thre && p_out(s, i) > tox_thre
+            typeI(s) = typeI(s) + 1;
+        else
+            if p_true(s, i) > tox_thre && p_out(s, i) <= tox_thre
+                typeII(s) = typeII(s) + 1;
+            end
+        end
+    end
+end
+
+
+if t <= T
+    q_mse(:, :, t:T) = repmat(q_mse(:, :, t-1), [1, 1, T - t + 1]);
+end
+
+for tau = 1:t - 1
+    if X(tau) > -1
+        cum_s(H(tau), tau:end) = cum_s(H(tau), tau:end) + 1;
+    end
+end
+
+typeI = typeI / K;
+typeII = typeII / K;
diff --git a/alg/c3t_budgets/+func/EI.m b/alg/c3t_budgets/+func/EI.m
new file mode 100644
index 00000000..4026abae
--- /dev/null
+++ b/alg/c3t_budgets/+func/EI.m
@@ -0,0 +1,13 @@
+function [value] = EI(a, b)
+alpha = 0.05;
+
+intv = betainv(1-alpha/2, a, b) - betainv(alpha/2, a, b);
+intv_on = betainv(1-alpha/2, a+1, b) - betainv(alpha/2, a+1, b);
+intv_off = betainv(1-alpha/2, a, b+1) - betainv(alpha/2, a, b+1);
+
+intv_on = max(0, intv-intv_on);
+intv_off = max(0, intv-intv_off);
+
+value = (a * intv_on + b * intv_off) / (a + b);
+
+end
\ No newline at end of file
diff --git a/alg/c3t_budgets/+func/UCB_ind.m b/alg/c3t_budgets/+func/UCB_ind.m
new file mode 100644
index 00000000..78a3b1df
--- /dev/null
+++ b/alg/c3t_budgets/+func/UCB_ind.m
@@ -0,0 +1,7 @@
+function [ ucb ] = UCB_ind( p_hat , c , n , ln)
+upperbound = 2;
+
+value = p_hat + (c*log(ln)/n)^(1/2);
+ucb = min( value, upperbound );
+
+end
\ No newline at end of file
diff --git a/alg/c3t_budgets/+func/alpha_func.m b/alg/c3t_budgets/+func/alpha_func.m
new file mode 100644
index 00000000..be31a9ce
--- /dev/null
+++ b/alg/c3t_budgets/+func/alpha_func.m
@@ -0,0 +1,10 @@
+function alpha = alpha_func(d, K, x, t)
+
+C_k = -log((tanh(d) + 1)/2);
+
+C1 = min(abs(C_k));
+
+C1_bar = (1 / C1)^(2 / 3) / 30;
+alpha = C1_bar * K * (log(2*K/x) / (2 * t))^(3 / 4);
+
+end
diff --git a/alg/c3t_budgets/+func/gen_patients.m b/alg/c3t_budgets/+func/gen_patients.m
new file mode 100644
index 00000000..33f127dc
--- /dev/null
+++ b/alg/c3t_budgets/+func/gen_patients.m
@@ -0,0 +1,11 @@
+function [patients] = gen_patients(T, arrive_rate)
+
+arrive_dist = arrive_rate / sum(arrive_rate);
+
+arrive_dist = [0, arrive_dist];
+arrive_dist_cum = cumsum(arrive_dist);
+patients_gen = rand(1, T);
+pat_idx = 1:length(arrive_dist) - 1;
+[~, inds] = histc(patients_gen, arrive_dist_cum);
+
+patients = pat_idx(inds);
diff --git a/alg/c3t_budgets/README.txt b/alg/c3t_budgets/README.txt
new file mode 100644
index 00000000..c1374a35
--- /dev/null
+++ b/alg/c3t_budgets/README.txt
@@ -0,0 +1,5 @@
+Implementation of C3T-Budgets (C3T-Budget and C3T-Budget-E) in 'Contextual constrained learning for dose-finding clinical trials', AISTATS 2020.
+
+Developed in MATLAB R2019b.
+
+Please run "run_main.m"
\ No newline at end of file
diff --git a/alg/c3t_budgets/run_main.m b/alg/c3t_budgets/run_main.m
new file mode 100644
index 00000000..55043f43
--- /dev/null
+++ b/alg/c3t_budgets/run_main.m
@@ -0,0 +1,188 @@
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+% Implementation of C3T-Budgets
+% 'Contextual constrained learning for dose-finding clinical trials'
+% AISTATS 2020
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+
+clear
+
+rng('default') % for reproducibility
+
+rep = 500; % number of simulated trials
+K = 6; % number of doses
+B = 400; % budget
+T = 1200; % time-horizon
+
+tox_thre = 0.35; % toxicity threshold
+eff_thre = 0.2; % efficacy threshold
+
+S = 3; % num of subgroups
+arr_rate = [5, 4, 3];
+
+% p q true values
+p_true = [0.01, 0.01, 0.05, 0.15, 0.20, 0.45; ...
+          0.01, 0.05, 0.15, 0.20, 0.45, 0.60; ...
+          0.01, 0.05, 0.15, 0.20, 0.45, 0.60];
+q_true = [0.01, 0.02, 0.05, 0.10, 0.10, 0.10; ...
+          0.10, 0.20, 0.30, 0.50, 0.60, 0.65; ...
+          0.20, 0.50, 0.60, 0.80, 0.84, 0.85];
+
+opt = [7; 4; 4]; % optimal doses
+
+p_rec = zeros(S, T, rep);
+
+alg_no = 2;
+names = char('Algorithm', 'C3T-Budget', 'C3T-Budget-E');
+out = struct('names', names, ...
+    'rec', zeros(alg_no, S, K+1), ...
+    'cum_eff', zeros(alg_no, B), ...
+    'cum_tox', zeros(alg_no, B), ...
+    'cum_s', zeros(alg_no, S, T, rep), ...
+    'typeI', zeros(alg_no, S), ...
+    'typeII', zeros(alg_no, S), ...
+    'q_mse', zeros(alg_no, S, K, T));
+
+for i = 1:rep
+    % patients arrival generation
+    pats = func.gen_patients(T, arr_rate);
+    for tau = 1:T
+        p_rec(pats(tau), tau:end, i) = p_rec(pats(tau), tau:end, i) + 1;
+    end
+
+    % C3T-Budget
+    [rec, cum_eff, cum_tox, cum_s, typeI, typeII, q_mse] = ...
+        func.C3T_Budget(T, B, S, K, pats, arr_rate, tox_thre, eff_thre, p_true, q_true, opt);
+    out.rec(1, :, :) = squeeze(out.rec(1, :, :)) + rec;
+    out.cum_eff(1, :) = out.cum_eff(1, :) + cum_eff;
+    out.cum_tox(1, :) = out.cum_tox(1, :) + cum_tox;
+    out.cum_s(1, :, :, i) = squeeze(out.cum_s(1, :, :, i)) + cum_s;
+    out.typeI(1, :) = out.typeI(1, :) + typeI;
+    out.typeII(1, :) = out.typeII(1, :) + typeII;
+    out.q_mse(1, :, :, :) = squeeze(out.q_mse(1, :, :, :)) + q_mse;
+
+    % C3T-Budget-E
+    [rec, cum_eff, cum_tox, cum_s, typeI, typeII, q_mse] = ...
+        func.C3T_Budget_E(T, B, S, K, pats, arr_rate, tox_thre, eff_thre, p_true, q_true, opt);
+    out.rec(2, :, :) = squeeze(out.rec(2, :, :)) + rec;
+    out.cum_eff(2, :) = out.cum_eff(2, :) + cum_eff;
+    out.cum_tox(2, :) = out.cum_tox(2, :) + cum_tox;
+    out.cum_s(2, :, :, i) = squeeze(out.cum_s(2, :, :, i)) + cum_s;
+    out.typeI(2, :) = out.typeI(2, :) + typeI;
+    out.typeII(2, :) = out.typeII(2, :) + typeII;
+    out.q_mse(2, :, :, :) = squeeze(out.q_mse(2, :, :, :)) + q_mse;
+end
+
+
+% print results
+rec_error = zeros(alg_no, S);
+for i = 1:alg_no
+    for s = 1:S
+        k = 1:K + 1;
+        k(opt(s)) = [];
+        rec_error(i, s) = sum(out.rec(i, s, k)/rep);
+    end
+end
+fprintf("== Recommended dose error rates ==============\n");
+fprintf("%s |  SG1  |  SG2  |  SG3  | Total |\n", out.names(1, :));
+for i = 1:alg_no
+    fprintf("%s | %.3f | %.3f | %.3f | %.3f |\n", ...
+        out.names(i+1, :), rec_error(i, 1), rec_error(i, 2), rec_error(i, 3), mean(rec_error(i, :)));
+end
+fprintf("\n");
+
+typeI = mean(out.typeI/rep, 2);
+typeII = mean(out.typeII/rep, 2);
+fprintf("== Safe dose estimation error rates ===========\n");
+fprintf("%s |  Type-I  |  Type-II |  Total   |\n", out.names(1, :));
+for i = 1:alg_no
+    fprintf("%s |  %.4f  |  %.4f  |  %.4f  |\n", ...
+        out.names(i+1, :), typeI(i), typeII(i), (typeI(i) + typeII(i))/2);
+end
+fprintf("\n");
+
+efficacy = out.cum_eff(:, end) / B / rep;
+toxicity = out.cum_tox(:, end) / B / rep;
+fprintf("== Efficacy and toxicity per patient =======\n");
+fprintf("%s |   Efficacy   |   Toxicity   |\n", out.names(1, :));
+for i = 1:alg_no
+    fprintf("%s |    %.4f    |    %.4f    |\n", ...
+        out.names(i+1, :), efficacy(i), toxicity(i));
+end
+fprintf("\n");
+
+% plot
+figure();
+subplot(2, 3, 1);
+plot(squeeze(mean(out.cum_s(1, 1, :, :), 4)), '-r', 'linewidth', 1.5);
+hold on;
+plot(squeeze(mean(out.cum_s(2, 1, :, :), 4)), '-b', 'linewidth', 1.5);
+plot(1:B, mean(p_rec(1, 1:B, :), 3)', '-k', 'linewidth', 1.5);
+plot(B+1:T, mean(p_rec(1, B+1:T, :), 3)', '--k', 'linewidth', 1.5);
+hold off;
+legend({'C3T-Budget', 'C3T-Budget-E', '\pi_s'}, 'fontsize', 10); title('Subgroup 1')
+set(gca, 'Box', 'on');
+ylim([0, 400]);
+ylabel('Number of patients');
+grid on;
+xlim([0, 1200]);
+subplot(2, 3, 2);
+plot(squeeze(mean(out.cum_s(1, 2, :, :), 4)), '-r', 'linewidth', 1.5);
+hold on;
+plot(squeeze(mean(out.cum_s(2, 2, :, :), 4)), '-b', 'linewidth', 1.5);
+plot(1:B, mean(p_rec(2, 1:B, :), 3)', '-k', 'linewidth', 1.5);
+plot(B+1:T, mean(p_rec(2, B+1:T, :), 3)', '--k', 'linewidth', 1.5);
+hold off;
+set(gca, 'Box', 'on');
+ylim([0, 400]);
+ylabel('Number of patients');
+grid on;
+xlim([0, 1200]);
+title('Subgroup 2')
+subplot(2, 3, 3);
+plot(squeeze(mean(out.cum_s(1, 3, :, :), 4)), '-r', 'linewidth', 1.5);
+hold on;
+plot(squeeze(mean(out.cum_s(2, 3, :, :), 4)), '-b', 'linewidth', 1.5);
+plot(1:B, mean(p_rec(3, 1:B, :), 3)', '-k', 'linewidth', 1.5);
+plot(B+1:T, mean(p_rec(3, B+1:T, :), 3)', '--k', 'linewidth', 1.5);
+hold off;
+set(gca, 'Box', 'on');
+ylim([0, 400]);
+ylabel('Number of patients');
+grid on;
+xlim([0, 1200]);
+title('Subgroup 3')
+
+subplot(2, 3, 4);
+plot(squeeze(mean(out.q_mse(1, 1, 1:5, :), 3))'/500, '-r', 'linewidth', 1.5);
+hold on;
+plot(squeeze(mean(out.q_mse(2, 1, 1:5, :), 3))'/500, '-b', 'linewidth', 1.5);
+hold off;
+set(gca, 'Box', 'on');
+legend({'C3T-Budget', 'C3T-Budget-E'}, 'fontsize', 10);
+ylim([0, 0.1]);
+ylabel('MSE');
+grid on;
+xlim([0, 1200]);
+xlabel('Time');
+subplot(2, 3, 5);
+plot(squeeze(out.q_mse(1, 2, 4, :))'/500, '-r', 'linewidth', 1.5);
+hold on;
+plot(squeeze(out.q_mse(2, 2, 4, :))'/500, '-b', 'linewidth', 1.5);
+hold off;
+set(gca, 'Box', 'on');
+ylim([0, 0.1]);
+ylabel('MSE');
+grid on;
+xlim([0, 1200]);
+xlabel('Time');
+subplot(2, 3, 6);
+plot(squeeze(out.q_mse(1, 3, 4, :))'/500, '-r', 'linewidth', 1.5);
+hold on;
+plot(squeeze(out.q_mse(2, 3, 4, :))'/500, '-b', 'linewidth', 1.5);
+hold off;
+set(gca, 'Box', 'on');
+ylim([0, 0.1]);
+ylabel('MSE');
+grid on;
+xlim([0, 1200]);
+xlabel('Time');
diff --git a/alg/causal_multitask_gaussian_processes_ite/README.md b/alg/causal_multitask_gaussian_processes_ite/README.md
new file mode 100644
index 00000000..4a2c2924
--- /dev/null
+++ b/alg/causal_multitask_gaussian_processes_ite/README.md
@@ -0,0 +1,18 @@
+# Bayesian Inference of Individualized Treatment Effects using Multi-task Gaussian Processes
+
+## Dependencies
+
+This implementation requires the IHDP dataset introduced in [3].
+
+## Usage
+
+```
+python test_models.py -n "number of experiments" -t "test data ratio" -m "mode" [ -o <result.json> ]
+```
+
+The argument "mode" can be set to "NSGP" or "CMGP".
+
+## References
+1. [Bayesian Inference of Individualized Treatment Effects using Multi-task Gaussian Processes](https://papers.nips.cc/paper/6934-bayesian-inference-of-individualized-treatment-effects-using-multi-task-gaussian-processes.pdf)
+2. [Limits of Estimating Heterogeneous Treatment Effects:Guidelines for Practical Algorithm Design](http://proceedings.mlr.press/v80/alaa18a/alaa18a.pdf)
+3. J. L. Hill. Bayesian Nonparametric Modeling for Causal Inference. Journal of Computational and Graphical Statistics, 2012.
diff --git a/alg/causal_multitask_gaussian_processes_ite/initpath_alg.py b/alg/causal_multitask_gaussian_processes_ite/initpath_alg.py
new file mode 100644
index 00000000..c6272959
--- /dev/null
+++ b/alg/causal_multitask_gaussian_processes_ite/initpath_alg.py
@@ -0,0 +1,11 @@
+def init_sys_path():
+    import os
+    import sys
+    depth = 2
+    path = os.path.dirname(os.path.realpath(__file__))
+    for d in range(depth):
+        path = os.path.join(path, os.pardir)
+    proj_dir = os.path.abspath(path)
+    sys.path.append(os.path.join(proj_dir, 'init'))
+    import initpath
+    initpath.platform_init_path(proj_dir)
diff --git a/alg/causal_multitask_gaussian_processes_ite/make_data.py b/alg/causal_multitask_gaussian_processes_ite/make_data.py
new file mode 100644
index 00000000..efe8e271
--- /dev/null
+++ b/alg/causal_multitask_gaussian_processes_ite/make_data.py
@@ -0,0 +1,91 @@
+
+# Copyright (c) 2019, Ahmed M. Alaa
+# Licensed under the BSD 3-clause license (see LICENSE.txt)
+
+import pandas as pd
+import numpy as np
+
+
+def draw_ihdp_data(fn_data):
+    
+    # Read the covariates and treatment assignments from the original study
+    # ----------------------------------------------------------------------
+    Raw_Data       = pd.read_csv(fn_data)
+    X              = np.array(Raw_Data[['X5','X6','X7','X8','X9','X10',
+                                        'X11','X12','X13','X14','X15',
+                                        'X16','X17','X18','X19','X20',
+                                        'X21','X22','X23','X24','X25',
+                                        'X26','X27','X28','X29']])
+    W              = np.array(Raw_Data['Treatment'])
+    
+    # Sample random coefficients
+    # --------------------------
+    coeffs_        = [0, 0.1, 0.2, 0.3, 0.4]
+    BetaB_c        = np.random.choice(coeffs_, size=6, replace=True, p=[0.5,0.125,0.125,0.125,0.125])
+    BetaB_d        = np.random.choice(coeffs_, size=19, replace=True, p=[0.6, 0.1, 0.1, 0.1,0.1])
+    BetaB          = np.hstack((BetaB_d,BetaB_c))
+
+    # Simulating the two response surfaces 
+    # ------------------------------------
+    Y_0            = np.random.normal(size=len(X)) + np.exp(np.dot(X + 0.5, BetaB))
+    Y_1            = np.random.normal(size=len(X)) + np.dot(X, BetaB)
+    
+    AVG            = np.mean(Y_1[W==1] - Y_0[W==1])
+    Y_1            = Y_1 - AVG + 4
+    
+    TE             = np.dot(X, BetaB) - AVG + 4 - np.exp(np.dot(X + 0.5, BetaB))
+    Y              = np.transpose(np.array([W, (1-W)*Y_0 + W*Y_1, TE]))
+
+    # Prepare the output dataset 
+    # --------------------------
+    DatasetX       = pd.DataFrame(X,columns='X1 X2 X3 X4 X5 X6 X7 X8 X9 X10 X11 X12 X13 X14 X15 X16 X17 X18 X19 X20 X21 X22 X23 X24 X25'.split())
+    DatasetY       = pd.DataFrame(Y,columns='Treatment Response TE'.split())
+    Dataset        = DatasetX.join(DatasetY)
+    
+    Dataset['Y_0'] = Y_0
+    Dataset['Y_1'] = Y_1
+    
+    return Dataset
+
+
+def sample_IHDP(fn_data, test_frac=0.2):
+    
+    Dataset     = draw_ihdp_data(fn_data)
+    
+    num_samples = len(Dataset)
+    train_size  = int(np.floor(num_samples * (1 - test_frac)))
+
+    train_index = list(np.random.choice(range(num_samples), train_size, replace=False))
+    test_index  = list(set(list(range(num_samples))) - set(train_index))
+    
+    feat_name   = 'X1 X2 X3 X4 X5 X6 X7 X8 X9 X10 X11 X12 X13 X14 X15 X16 X17 X18 X19 X20 X21 X22 X23 X24 X25'
+    
+    Data_train  = Dataset.loc[Dataset.index[train_index]]
+    Data_test   = Dataset.loc[Dataset.index[test_index]]
+    
+    X_train       = np.array(Data_train[feat_name.split()])
+    W_train       = np.array(Data_train['Treatment'])
+    Y_train       = np.array(Data_train['Response'])
+    T_true_train  = np.array(Data_train['TE'])
+    Y_cf_train    = np.array(Data_train['Treatment'] * Data_train['Y_0'] + (1- Data_train['Treatment']) * Data_train['Y_1'])
+
+    Y_0_train     = np.array(Data_train['Y_0'])
+    Y_1_train     = np.array(Data_train['Y_1'])
+    
+    X_test        = np.array(Data_test[feat_name.split()])
+    W_test        = np.array(Data_test['Treatment'])
+    Y_test        = np.array(Data_test['Response'])
+    T_true_test   = np.array(Data_test['TE'])
+    Y_cf_test     = np.array(Data_test['Treatment'] * Data_test['Y_0'] + (1- Data_test['Treatment']) * Data_test['Y_1'])
+
+    Y_0_test      = np.array(Data_test['Y_0'])
+    Y_1_test      = np.array(Data_test['Y_1']) 
+
+    train_data    = (X_train, W_train, Y_train, Y_0_train, Y_1_train, Y_cf_train, T_true_train)
+    test_data     = (X_test, W_test, Y_test, Y_0_test, Y_1_test, Y_cf_test, T_true_test)
+    
+    return train_data, test_data 
+
+
+
+
diff --git a/alg/causal_multitask_gaussian_processes_ite/models/causal_models.py b/alg/causal_multitask_gaussian_processes_ite/models/causal_models.py
new file mode 100644
index 00000000..2774394d
--- /dev/null
+++ b/alg/causal_multitask_gaussian_processes_ite/models/causal_models.py
@@ -0,0 +1,604 @@
+
+# Copyright (c) 2019, Ahmed M. Alaa
+# Licensed under the BSD 3-clause license (see LICENSE.txt)
+
+import pandas as pd
+import numpy as np
+import GPy
+
+import numpy as np
+from sklearn.neighbors import KNeighborsRegressor
+import warnings
+warnings.filterwarnings("ignore")
+
+
+from GPy import Model, Param
+import scipy
+from GPy.core import GP
+from GPy import likelihoods
+from GPy import kern
+from GPy import util
+from GPy.inference.latent_function_inference.posterior import PosteriorExact as Posterior
+from GPy.util.linalg import pdinv, dpotrs, tdot
+from GPy.util import diag
+import numpy as np
+from GPy.inference.latent_function_inference import LatentFunctionInference
+log_2_pi = np.log(2*np.pi)
+
+class RiskEmpiricalBayes(LatentFunctionInference):
+    """
+    An object for inference when the likelihood is Gaussian.
+
+    The function self.inference returns a Posterior object, which summarizes
+    the posterior.
+
+    For efficiency, we sometimes work with the cholesky of Y*Y.T. To save repeatedly recomputing this, we cache it.
+
+    """
+    def __init__(self):
+        pass#self._YYTfactor_cache = caching.cache()
+
+    def to_dict(self):
+        """
+        Convert the object into a json serializable dictionary.
+
+        Note: It uses the private method _save_to_input_dict of the parent.
+
+        :return dict: json serializable dictionary containing the needed information to instantiate the object
+        """
+
+        input_dict          = super(ExactGaussianInference, self)._save_to_input_dict()
+        input_dict["class"] = "GPy.inference.latent_function_inference.exact_gaussian_inference.ExactGaussianInference"
+        
+        return input_dict
+
+
+    def inference(self, 
+                  kern, 
+                  X, 
+                  W, 
+                  likelihood, 
+                  Y, 
+                  mean_function=None, 
+                  Y_metadata=None, 
+                  K=None, 
+                  variance=None, 
+                  Z_tilde=None):
+        """
+        Returns a Posterior class containing essential quantities of the posterior
+        """
+
+        if mean_function is None:
+            m = 0
+        else:
+            m = mean_function.f(X)
+
+        if variance is None:
+            variance = likelihood.gaussian_variance(Y_metadata)
+
+        YYT_factor = Y-m
+
+        if K is None:
+            K = kern.K(X)
+    
+        Ky = K.copy()
+        
+        diag.add(Ky, variance+1e-8)
+
+        Wi, LW, LWi, W_logdet = pdinv(Ky)
+
+        alpha, _ = dpotrs(LW, YYT_factor, lower=1)
+
+        log_marginal = 0.5*(-Y.size * log_2_pi - Y.shape[1] * W_logdet - np.sum(alpha * YYT_factor))
+        
+        if Z_tilde is not None:
+            # This is a correction term for the log marginal likelihood
+            # In EP this is log Z_tilde, which is the difference between the
+            # Gaussian marginal and Z_EP
+            log_marginal += Z_tilde
+
+        dL_dK = 0.5 * (tdot(alpha) - Y.shape[1] * Wi)
+
+        dL_dthetaL = likelihood.exact_inference_gradients(np.diag(dL_dK), Y_metadata)
+        
+        posterior_ = Posterior(woodbury_chol=LW, woodbury_vector=alpha, K=K)
+
+        return posterior_, log_marginal, {'dL_dK':dL_dK, 'dL_dthetaL':dL_dthetaL, 'dL_dm':alpha}, W_logdet
+
+
+
+class risk_based_empirical_bayes_GP(GP):
+    """
+    Gaussian Process model for Causal Inference
+
+    This is a thin wrapper around the models.GP class, with a set of sensible defaults
+
+    :param X_list: list of input observations corresponding to each output
+    :type X_list: list of numpy arrays
+    :param Y_list: list of observed values related to the different noise models
+    :type Y_list: list of numpy arrays
+    :param kernel: a GPy kernel ** Coregionalized, defaults to RBF ** Coregionalized
+    :type kernel: None | GPy.kernel defaults
+    :likelihoods_list: a list of likelihoods, defaults to list of Gaussian likelihoods
+    :type likelihoods_list: None | a list GPy.likelihoods
+    :param name: model name
+    :type name: string
+    :param W_rank: number tuples of the corregionalization parameters 'W' (see coregionalize kernel documentation)
+    :type W_rank: integer
+    :param kernel_name: name of the kernel
+    :type kernel_name: string
+    """
+    def __init__(self, 
+                 X_list, 
+                 Y_list, 
+                 W, 
+                 kernel=None, 
+                 likelihoods_list=None, 
+                 name='GPCR', 
+                 W_rank=1, 
+                 kernel_name='coreg'):
+
+        #Input and Output
+        X,Y,self.output_index = util.multioutput.build_XY(X_list,Y_list)
+        Ny                    = len(Y_list)
+        self.opt_trajectory   = []
+        self.PEHE_trajectory  = []
+        self.MSE_trajectory   = []
+        self.treatment_assign = W
+        
+        self.logdetK          = 0
+        
+        #Kernel
+        if kernel is None:
+            kernel = kern.RBF(X.shape[1]-1)
+            
+            kernel = util.multioutput.ICM(input_dim=X.shape[1]-1, num_outputs=Ny, kernel=kernel, W_rank=1,name=kernel_name)
+
+        #Likelihood
+        likelihood = util.multioutput.build_likelihood(Y_list,self.output_index,likelihoods_list)
+
+        super(CMGP, self).__init__(X, Y, kernel, likelihood, 
+                                   inference_method=RiskEmpiricalBayes(), Y_metadata={'output_index':self.output_index})
+        
+        
+        self.X     = Param("input", X)
+
+    def parameters_changed(self):
+        """
+        Method that is called upon any changes to :class:`~GPy.core.parameterization.param.Param` variables within the model.
+        In particular in the GP class this method re-performs inference, recalculating the posterior and log marginal likelihood and gradients of the model
+
+        """
+        self.posterior, self._log_marginal_likelihood, self.grad_dict, self.logdetK = self.inference_method.inference(self.kern, self.X, self.treatment_assign, self.likelihood, self.Y_normalized, self.mean_function, self.Y_metadata)
+        self.opt_trajectory.append(self._log_marginal_likelihood)
+        
+        # Invoke predict and compute our loss function
+        W_0_locs     = [k for k in range(len(self.treatment_assign)) if (self.treatment_assign[k]== 0)]
+        W_1_locs     = [k for k in range(len(self.treatment_assign)) if (self.treatment_assign[k]== 1)]
+        
+        X_0_locs     = [self.X[k] for k in W_0_locs]
+        X_1_locs     = [self.X[k] for k in W_1_locs]
+        
+        X_0          = np.array(np.hstack([self.X, np.zeros_like(self.X[:,1].reshape((len(self.X[:,1]),1)))]))
+        X_1          = np.array(np.hstack([self.X, np.ones_like(self.X[:,1].reshape((len(self.X[:,1]),1)))]))
+        
+        X_0_shape    = X_0.shape
+        X_1_shape    = X_1.shape
+        
+        noise_dict_0 = {'output_index': X_0[:,X_0_shape[1]-1].reshape((X_0_shape[0],1)).astype(int)}
+        noise_dict_1 = {'output_index': X_1[:,X_1_shape[1]-1].reshape((X_1_shape[0],1)).astype(int)}
+        
+        mu_0         = np.array(list(self.predict(X_0, Y_metadata = noise_dict_0)[0]))
+        mu_1         = np.array(list(self.predict(X_1, Y_metadata = noise_dict_1)[0]))
+                
+        var_0        = self.predict(X_0, Y_metadata = noise_dict_0)[1]
+        var_1        = self.predict(X_1, Y_metadata = noise_dict_1)[1]
+        
+        Y_est             = np.zeros((len(self.Y),1))
+        Var_est           = np.zeros((len(self.Y),1))
+        
+        Y_est[W_0_locs]   = mu_0[W_0_locs] 
+        Y_est[W_1_locs]   = mu_1[W_1_locs] 
+        
+        Var_est[W_0_locs] = var_1[W_0_locs]
+        Var_est[W_1_locs] = var_0[W_1_locs]
+        
+        regularizer_term  = 0#0.0001
+        
+        self.PEHE         = np.sqrt(np.mean((Y_est-self.Y)**2 + Var_est)) + regularizer_term*self.logdetK
+        self.MSE          = np.sqrt(np.mean((Y_est-self.Y)**2)) + regularizer_term*self.logdetK
+        
+        self.PEHE_trajectory.append(np.sqrt(np.mean((Y_est-self.Y)**2 + Var_est)))
+        self.MSE_trajectory.append(np.sqrt(np.mean((Y_est-self.Y)**2)))
+        
+        #-----------------------------------------------------------------
+        self.likelihood.update_gradients(self.grad_dict['dL_dthetaL'])
+        self.kern.update_gradients_full(self.grad_dict['dL_dK'], self.X)
+        
+        if self.mean_function is not None:
+            self.mean_function.update_gradients(self.grad_dict['dL_dm'], self.X)
+
+        
+    def log_likelihood_adjusted(self):
+        """
+        The log marginal likelihood of the model, :math:`p(\mathbf{y})`, this is the objective function of the model being optimised
+        """
+
+        return self.PEHE   
+    
+    
+    def objective_function_adjusted(self): 
+        """ 
+        The objective function for the given algorithm. 
+   
+        This function is the true objective, which wants to be minimized.  
+        Note that all parameters are already set and in place, so you just need  
+        to return the objective function here. 
+   
+        For probabilistic models this is the negative log_likelihood 
+        (including the MAP prior), so we return it here. If your model is not  
+        probabilistic, just return your objective here! 
+        """
+        
+        return -float(self.PEHE)
+
+
+class CMGP:
+    """
+    An implementation of various Gaussian models for Causal inference building on GPy.
+    
+    """
+#----------------------------------------------------------------
+#----------------------------------------------------------------
+# This method implements the class constructor, automatically
+# invoked for every class instance
+#----------------------------------------------------------------
+    def __init__(self, mode="CMGP", **kwargs):
+        """
+        Class constructor. 
+        Initialize a GP object for causal inference. 
+    
+        :mod: ['VirtualTwin'], ['Counterfactual'] or ['Multitask'], default is ['VirtualTwin']
+        :dim: the dimension of the input. Default is 1
+        :kern: ['Matern'] or ['RBF'], Default is the Radial Basis Kernel
+        :mkern: For multitask models, can select from IMC and LMC models, default is IMC  
+        """ 
+        # %%%%%%%%%%%%%%%%%
+        # **Set defaults**
+        # %%%%%%%%%%%%%%%%%
+        self.mod_list   = ['VirtualTwin','Counterfactual','Multitask']
+        self.kern_list  = ['RBF','Matern']
+        self.mkern_list = ['ICM','LCM']
+        self.mod        = self.mod_list[2]
+        self.dim        = 1
+        self.kern       = self.kern_list[0]
+        self.mkern      = self.mkern_list[0]
+        self.mode       = mode   
+        self.Bayesian   = True
+        self.Confidence = True
+        # ~~~~~~~~~~~~~~~~~~~~~~~
+        # ** Read input arguments
+        # ~~~~~~~~~~~~~~~~~~~~~~~
+        if kwargs.__contains__('mod'):
+            self.mod   = kwargs['mod']
+        if kwargs.__contains__('dim'):
+            self.dim   = kwargs['dim']
+        if kwargs.__contains__('kern'):
+            self.kern  = kwargs['kern']
+        if (kwargs.__contains__('mkern')) and (self.mod == self.mod_list[2]):
+            self.mkern = kwargs['mkern']
+        # ++++++++++++++++++++++++++++++++++++++++++    
+        # ** catch exceptions ** handle wrong inputs 
+        # ++++++++++++++++++++++++++++++++++++++++++        
+        try:
+            if (self.dim < 1) or (type(self.dim) != int):
+                raise ValueError('Invalid value for the input dimension! Input dimension has to be a positive integer.')
+            if (self.mod not in self.mod_list) or (self.kern not in self.kern_list) or (self.mkern not in self.mkern_list):
+                raise ValueError('Invalid input!')
+            if (kwargs.__contains__('mkern')) and (self.mod != 'Multitask'):
+                raise ValueError('Invalid input! Multitask kernels are valid only for the Multitask mode')
+                
+        except ValueError:
+            if (self.mod not in self.mod_list):
+                raise ValueError('Invalid input: The provided mode is undefined for class GaussianProcess_Model.')
+            elif (self.kern not in self.kern_list):
+                raise ValueError('Invalid input: The provided kernel is undefined for class GaussianProcess_Model.')
+            elif (self.mkern not in self.mkern_list):
+                raise ValueError('Invalid input: The provided Multitask kernel is undefined for class GaussianProcess_Model.')     
+            else:
+                raise ValueError('Invalid input for GaussianProcess_Model!')     
+        else:
+            #*************************************************************************
+            # Initialize the kernels and likelihoods depending on the specified model
+            #*************************************************************************
+            if (self.mod == self.mod_list[0]):
+                
+                del self.mkern
+                
+                if(self.kern == self.kern_list[0]): 
+                    self.ker0   = GPy.kern.RBF(input_dim = self.dim,ARD=True)
+                    self.ker1   = GPy.kern.RBF(input_dim = self.dim,ARD=True)
+                else:    
+                    self.ker0   = GPy.kern.Matern32(input_dim = self.dim,ARD=True)
+                    self.ker1   = GPy.kern.Matern32(input_dim = self.dim,ARD=True)
+                    
+                self.lik0       = GPy.likelihoods.Gaussian()
+                self.lik1       = GPy.likelihoods.Gaussian()
+                
+            elif (self.mod == self.mod_list[1]):
+                del self.mkern
+                
+                if(self.kern == self.kern_list[0]):
+                    self.ker    = GPy.kern.RBF(input_dim = self.dim + 1,ARD=True)
+                else:    
+                    self.ker    = GPy.kern.Matern32(input_dim = self.dim + 1,ARD=True)
+                    
+                self.lik        = GPy.likelihoods.Gaussian() 
+                
+            elif (self.mod == self.mod_list[2]): # edit this later   
+                if(self.kern == self.kern_list[0]):
+                    base_kernel = GPy.kern.RBF(input_dim = self.dim,ARD=True)
+                    self.ker    = GPy.util.multioutput.ICM(self.dim,2,base_kernel,W_rank=1,W=None,kappa=None,name='ICM')
+                else:    
+                    self.ker    = GPy.kern.Matern32(input_dim = self.dim)
+                    
+                self.lik        = GPy.likelihoods.Gaussian()
+#-----------------------------------------------------------------------------------------------------------
+# This method optimizes the model hyperparameters using the factual samples for the treated and control arms
+#------------------------------------------------------------------------------------------------------------ 
+# ** Note ** all inputs to this method are positional arguments
+#---------------------------------------------------------------
+    def fit(self, X, Y, W):
+        """
+        Optimizes the model hyperparameters using the factual samples for the treated and control arms.
+        X has to be an N x dim matrix. 
+        
+        :X: The input covariates
+        :Y: The corresponding outcomes
+        :W: The treatment assignments
+        """  
+        # -----------------------------------------------------------------
+        # Inputs: X (the features), Y (outcomes), W (treatment assignments)
+        # X has to be an N x dim matrix. 
+        # -----------------------------------------------------------------
+        # Situate the data in a pandas data frame
+        # ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+        Dataset       = pd.DataFrame(X)
+        Dataset['Y']  = Y
+        Dataset['W']  = W
+        Xshape        = np.array(X).shape
+        Yshape        = np.array(Y).shape
+        W_comp        = Dataset.loc[Dataset['W'] != 1, 'W']
+        
+        self.X_train  = np.array(X)
+        
+        if (self.dim > 1):
+            Feature_names = list(range(self.dim))
+        else:
+            Feature_names = 0
+        #~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+        # Catch exceptions: handle errors in the input sizes, size mismatches, or undefined
+        # treatment assignments
+        #----------------------
+        #try:
+        #    if (Xshape[1] != self.dim) or (Yshape[1] != 1) or (Xshape[0] != Yshape[0]) or (len(W_comp)>0):
+        #        raise ValueError('Invalid Inputs!')
+        #except ValueError:
+        #    if (Xshape[1] != self.dim):
+        #        raise ValueError('Invalid input: Dimension of input covariates do not match the model dimensions')
+        #    elif (Yshape[1] != 1):
+        #        raise ValueError('Invalid input: Outcomes must be formatted in a 1D vector.')
+        #    elif (Xshape[0] != Yshape[0]):
+        #        raise ValueError('Invalid input: Outcomes and covariates do not have the same number of samples.')     
+        #    elif (len(W_comp)>0):
+        #        raise ValueError('Invalid input: Treatment assignment vector has non-binary values.')     
+        #else:
+            #~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+        if(self.mod == self.mod_list[0]):
+            Dataset0   = Dataset[Dataset['W']==0].copy()
+            Dataset1   = Dataset[Dataset['W']==1].copy()
+            # Extract data for the first model
+            # `````````````````````````````````````````````````````````````````
+            X0         = np.reshape(np.array(Dataset0[Feature_names].copy()),(len(Dataset0),self.dim))
+            y0         = np.reshape(np.array(Dataset0['Y'].copy()),(len(Dataset0),1))
+            # Extract data for the second model
+            # `````````````````````````````````````````````````````````````````
+            X1         = np.reshape(np.array(Dataset1[Feature_names].copy()),(len(Dataset1),self.dim))
+            y1         = np.reshape(np.array(Dataset1['Y'].copy()),(len(Dataset1),1))
+            
+            self.model = [GPy.core.GP(X0, y0, kernel = self.ker0, likelihood = self.lik0),
+                          GPy.core.GP(X1, y1, kernel = self.ker1, likelihood = self.lik1)]
+            self.model[0].optimize(messages=False,max_f_eval = 1000)
+            self.model[1].optimize(messages=False,max_f_eval = 1000)
+            #~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~    
+        elif(self.mod == self.mod_list[1]):    
+            #X          = np.array(Dataset[[Feature_names,'W']])
+            X          = np.array(Dataset[Feature_names+['W']])
+            y          = np.reshape(np.array(Dataset['Y']),(len(np.array(Dataset['Y'])),1))
+            self.model = GPy.core.GP(X, y, kernel = self.ker, likelihood = self.lik)
+            self.model.optimize(messages=False,max_f_eval = 1000)
+            #~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 
+        elif(self.mod == self.mod_list[2]):
+            Dataset0   = Dataset[Dataset['W']==0].copy()
+            Dataset1   = Dataset[Dataset['W']==1].copy()
+            # Extract data for the first learning task (control population)
+            # `````````````````````````````````````````````````````````````````
+            X0         = np.reshape(Dataset0[Feature_names].copy(),(len(Dataset0),self.dim))
+            y0         = np.reshape(np.array(Dataset0['Y'].copy()),(len(Dataset0),1))
+            # Extract data for the second learning task (treated population)
+            # `````````````````````````````````````````````````````````````````
+            X1         = np.reshape(Dataset1[Feature_names].copy(),(len(Dataset1),self.dim))
+            y1         = np.reshape(np.array(Dataset1['Y'].copy()),(len(Dataset1),1))
+            # Create an instance of a GPy Coregionalization model
+            # `````````````````````````````````````````````````````````````````
+            K0         = GPy.kern.Matern32(self.dim, ARD=True) #GPy.kern.RBF(self.dim, ARD=True) 
+            K1         = GPy.kern.Matern32(self.dim)#, ARD=True) #GPy.kern.RBF(self.dim, ARD=True) 
+            
+            K0         = GPy.kern.RBF(self.dim, ARD=True) 
+            K1         = GPy.kern.RBF(self.dim, ARD=True) 
+            
+            #K0         = GPy.kern.MLP(self.dim, ARD=True) 
+            #K1         = GPy.kern.MLP(self.dim, ARD=True) 
+            
+            #K0         = GPy.kern.Spline(input_dim=self.dim) 
+            #K1         = GPy.kern.Spline(input_dim=self.dim) 
+            
+            
+            kernel_dict = {"CMGP": GPy.util.multioutput.LCM(input_dim=self.dim,num_outputs=2,kernels_list=[K0, K1]),
+                           "NSGP": GPy.util.multioutput.ICM(input_dim=self.dim,num_outputs=2,kernel=K0)}
+            
+            #self.model = risk_based_empirical_bayes_GP(X_list = [X0,X1], Y_list = [y0,y1], W=W, 
+            #                                           kernel = kernel_dict[self.mode])
+            
+            self.model = GPy.models.GPCoregionalizedRegression(X_list = [X0, X1], Y_list = [y0, y1], 
+                                                               kernel = kernel_dict[self.mode])
+            
+            #self.initialize_hyperparameters(X, Y, W)
+
+            try:
+
+                self.model.optimize('bfgs', max_iters=500)
+    
+            except np.linalg.LinAlgError as err:
+
+                print("Covariance matrix not invertible.")
+
+            
+            
+            #~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 
+#-----------------------------------------------------------------------------------------------------------
+# This method Infers the treatment effect for a certain set of input covariates
+#------------------------------------------------------------------------------------------------------------ 
+# ** Note ** all inputs to this method are positional arguments
+# This method returns the predicted ITE and posterior variance
+# but does not store them in self
+#---------------------------------------------------------------
+    def predict(self, X):
+        """
+        Infers the treatment effect for a certain set of input covariates. 
+        Returns the predicted ITE and posterior variance.
+        
+        :X: The input covariates at which the outcomes need to be predicted
+        """
+        # ```````````````````*\ Get input size /*``````````````````````````
+        # ---------------------------------------------------------------- 
+        Xshape             = np.array(X).shape
+        # `````````````````````````````````````````````````````````````````
+        if (self.mod == self.mod_list[0]): 
+
+            Y_est_0, var_0 = self.model[0].predict(X)
+            Y_est_1, var_1 = self.model[1].predict(X)
+            TE_est         = Y_est_1 - Y_est_0
+            var_all        = var_0 + var_1
+        # ----------------------------------------------------------------    
+        elif (self.mod == self.mod_list[1]):
+            
+            W0             = np.reshape([0]*Xshape[0],(Xshape[0],1))
+            W1             = np.reshape([1]*Xshape[0],(Xshape[0],1))
+            X_new_0        = np.hstack((np.reshape(np.array(X),(Xshape[0],self.dim)),W0))
+            X_new_1        = np.hstack((np.reshape(np.array(X),(Xshape[0],self.dim)),W1))
+            Y_est_0, var_0 = self.model.predict(X_new_0)
+            Y_est_1, var_1 = self.model.predict(X_new_1)
+            TE_est         = Y_est_1 - Y_est_0
+            var_all        = var_0 + var_1 # correct this
+        # ----------------------------------------------------------------     
+        elif (self.mod == self.mod_list[2]):
+            
+            if self.dim == 1:
+                X_           = X[:,None]
+                X_0          = np.hstack([X_, np.reshape(np.array([0]*len(X)),(len(X),1))])
+                X_1          = np.hstack([X_, np.reshape(np.array([1]*len(X)),(len(X),1))])
+                noise_dict_0 = {'output_index': X_0[:,1:].astype(int)}
+                noise_dict_1 = {'output_index': X_1[:,1:].astype(int)}
+                Y_est_0      = self.model.predict(X_0, Y_metadata = noise_dict_0)[0]
+                Y_est_1      = self.model.predict(X_1, Y_metadata = noise_dict_1)[0]
+                
+            else:
+                
+                X_0          = np.array(np.hstack([X, np.zeros_like(X[:,1].reshape((len(X[:,1]),1)))]))
+                X_1          = np.array(np.hstack([X, np.ones_like(X[:,1].reshape((len(X[:,1]),1)))]))
+                X_0_shape    = X_0.shape
+                X_1_shape    = X_1.shape
+                noise_dict_0 = {'output_index': X_0[:,X_0_shape[1]-1].reshape((X_0_shape[0],1)).astype(int)}
+                noise_dict_1 = {'output_index': X_1[:,X_1_shape[1]-1].reshape((X_1_shape[0],1)).astype(int)}
+                Y_est_0      = np.array(list(self.model.predict(X_0, Y_metadata = noise_dict_0)[0]))
+                Y_est_1      = np.array(list(self.model.predict(X_1, Y_metadata = noise_dict_1)[0]))
+                
+                var_0        = self.model.predict(X_0, Y_metadata = noise_dict_0)
+                var_1        = self.model.predict(X_1, Y_metadata = noise_dict_1)
+                
+            TE_est       = Y_est_1 - Y_est_0
+
+        return TE_est, Y_est_0, Y_est_1
+#-----------------------------------------------------------------------------------------------------------
+#----------------------------------------------------------------------------------------------------------- 
+# This method initializes the model's hyper-parameters before passing to the optimizer
+# Now working only for the multi-task model
+#------------------------------------------------------------------------------------------------------------ 
+    def initialize_hyperparameters(self, X, Y, W): 
+        """
+        Initializes the multi-tasking model's hyper-parameters before passing to the optimizer
+        
+        :X: The input covariates
+        :Y: The corresponding outcomes
+        :W: The treatment assignments
+        """
+        # -----------------------------------------------------------------------------------
+        # Output Parameters:
+        # -----------------
+        # :Ls0, Ls1: length scale vectors for treated and control, dimensions match self.dim
+        # :s0, s1: noise variances for the two kernels
+        # :a0, a1: diagonal elements of correlation matrix 0 
+        # :b0, b1: off-diagonal elements of correlation matrix 1 
+        # -----------------------------------------------------------------------------------
+        Dataset       = pd.DataFrame(X)
+        Dataset['Y']  = Y
+        Dataset['W']  = W
+        Xshape        = np.array(X).shape
+        Yshape        = np.array(Y).shape
+
+        if (self.dim > 1):
+            Feature_names = list(range(self.dim))
+        else:
+            Feature_names = 0
+        
+        if (self.mod == self.mod_list[2]):
+            Dataset0        = Dataset[Dataset['W']==0]
+            Dataset1        = Dataset[Dataset['W']==1]
+            neigh0          = KNeighborsRegressor(n_neighbors=10)
+            neigh1          = KNeighborsRegressor(n_neighbors=10)
+            neigh0.fit(Dataset0[Feature_names], Dataset0['Y'])
+            neigh1.fit(Dataset1[Feature_names], Dataset1['Y'])
+            Dataset['Yk0']  = neigh0.predict(Dataset[Feature_names])
+            Dataset['Yk1']  = neigh1.predict(Dataset[Feature_names])
+            Dataset0['Yk0'] = Dataset.loc[Dataset['W']==0,'Yk0']
+            Dataset0['Yk1'] = Dataset.loc[Dataset['W']==0,'Yk1']
+            Dataset1['Yk0'] = Dataset.loc[Dataset['W']==1,'Yk0']
+            Dataset1['Yk1'] = Dataset.loc[Dataset['W']==1,'Yk1']
+            #`````````````````````````````````````````````````````
+            a0       = np.sqrt(np.mean((Dataset0['Y']-np.mean(Dataset0['Y']))**2))
+            a1       = np.sqrt(np.mean((Dataset1['Y']-np.mean(Dataset1['Y']))**2))
+            b0       = np.mean((Dataset['Yk0']-np.mean(Dataset['Yk0']))*(Dataset['Yk1']-np.mean(Dataset['Yk1'])))/(a0*a1)
+            b1       = b0
+            s0       = np.sqrt(np.mean((Dataset0['Y']-Dataset0['Yk0'])**2))/a0
+            s1       = np.sqrt(np.mean((Dataset1['Y']-Dataset1['Yk1'])**2))/a1
+            #`````````````````````````````````````````````````````
+            self.model.sum.ICM0.rbf.lengthscale = 10*np.ones(self.dim)
+            self.model.sum.ICM1.rbf.lengthscale = 10*np.ones(self.dim)
+            
+            self.model.sum.ICM0.rbf.variance    = 1
+            self.model.sum.ICM1.rbf.variance    = 1
+            self.model.sum.ICM0.B.W[0]          = b0 
+            self.model.sum.ICM0.B.W[1]          = b0
+            
+            self.model.sum.ICM1.B.W[0]          = b1 
+            self.model.sum.ICM1.B.W[1]          = b1
+            
+            self.model.sum.ICM0.B.kappa[0]      = a0**2
+            self.model.sum.ICM0.B.kappa[1]      = 1e-4
+            self.model.sum.ICM1.B.kappa[0]      = 1e-4 
+            self.model.sum.ICM1.B.kappa[1]      = a1**2
+            
+            self.model.mixed_noise.Gaussian_noise_0.variance = s0**2
+            self.model.mixed_noise.Gaussian_noise_1.variance = s1**2
+
diff --git a/alg/causal_multitask_gaussian_processes_ite/test_models.py b/alg/causal_multitask_gaussian_processes_ite/test_models.py
new file mode 100644
index 00000000..eea645fa
--- /dev/null
+++ b/alg/causal_multitask_gaussian_processes_ite/test_models.py
@@ -0,0 +1,108 @@
+
+# Copyright (c) 2019, Ahmed M. Alaa
+# Licensed under the BSD 3-clause license (see LICENSE.txt)
+
+from __future__ import absolute_import, division, print_function
+
+import numpy as np
+import time
+import argparse
+import sys
+import os
+import json
+
+from make_data import sample_IHDP
+from utils.metrics import compute_PEHE, mean_confidence_interval
+from models.causal_models import CMGP
+import initpath_alg
+initpath_alg.init_sys_path()
+import utilmlab
+
+
+def run_experiment(fn_data, mode="CMGP", test_frac=0.1):
+    
+    train_data, test_data                   = sample_IHDP(fn_data, test_frac=test_frac)
+    X_train, W_train, Y_train, T_true_train = train_data[0], train_data[1], train_data[2], train_data[6]
+    X_test,  T_true_test                    = test_data[0], test_data[6] 
+    
+    model = CMGP(dim=25, mode=mode)
+
+    model.fit(X_train, Y_train, W_train)
+    
+    TE_est_test  = model.predict(X_test)[0]
+    TE_est_train = model.predict(X_train)[0]
+    
+    PEHE_train = compute_PEHE(TE_est_train, T_true_train)
+    PEHE_test  = compute_PEHE(TE_est_test, T_true_test)
+    
+    return PEHE_train, PEHE_test
+
+
+
+def main(args, fn_data):
+
+    PEHE_train_ = [] 
+    PEHE_test_ = []
+    results_d = {}
+ 
+    time_start = time.time()
+
+    for _ in range(args.num_exp):
+        
+        pehe_train_curr, pehe_test_curr = run_experiment(fn_data, mode=args.mode, test_frac=args.test_frac)
+        
+        PEHE_train_.append(pehe_train_curr)
+        PEHE_test_.append(pehe_test_curr)
+    
+        print("Experiment: %d (train) \tPEHE: %.3f \t--- (test) \tPEHE: %.3f \t---" % (_, pehe_train_curr, pehe_test_curr))    
+    
+        # on purpose results are calculated within the loop so intermediate results become available while the experiment is ongoing
+
+        results_d['train'] = PEHE_train_
+        results_d['test'] = PEHE_test_
+
+        PEHE_train_np = np.array(PEHE_train_)[~np.isnan(np.array(PEHE_train_))]
+        PEHE_test_np  = np.array(PEHE_test_)[~np.isnan(np.array(PEHE_test_))]
+
+        time_exe = time.time() - time_start
+    
+        results_d['PEHE_train'] = mean_confidence_interval(PEHE_train_np)
+        results_d['PEHE_test'] = mean_confidence_interval(PEHE_test_np)
+
+        results_d['time_exe'] = time_exe
+        if args.o is not None:
+            with open(args.o, 'w') as fp:
+                json.dump(results_d, fp)
+        
+    print('exe time {:0.0f}s'.format(time_exe))
+    print("Final results|| Train PEHE = %.3f +/- %.3f --- Test PEHE = %.3f +/- %.3f" % (mean_confidence_interval(PEHE_train_np)[0],
+                                                                                        mean_confidence_interval(PEHE_train_np)[1],
+                                                                                        mean_confidence_interval(PEHE_test_np)[0],
+                                                                                        mean_confidence_interval(PEHE_test_np)[1]))
+    return results_d
+
+
+if __name__ == '__main__':
+
+    parser = argparse.ArgumentParser(
+        description="Causal Multi-task Gaussian Processes")
+
+    parser.add_argument("-n", "--num-exp", default=10, type=int)
+    parser.add_argument("-m", "--mode", default="CMGP", type=str)
+    parser.add_argument("-t", "--test-frac", default=0.1, type=float)
+    parser.add_argument("-o")
+
+    args = parser.parse_args()
+
+    fn_data = '{}/ihdp/ihdp_covariates.csv'.format(utilmlab.get_data_dir())
+
+    if not os.path.isfile(fn_data):
+        print('Error: this implementation requires the IHDP dataset'
+              ', please refer to the README.md for more details.')
+        sys.exit(0)
+
+    results_d = main(args, fn_data)
+
+    if args.o is not None:
+        with open(args.o, 'w') as fp:
+            json.dump(results_d, fp)
diff --git a/alg/causal_multitask_gaussian_processes_ite/utils/metrics.py b/alg/causal_multitask_gaussian_processes_ite/utils/metrics.py
new file mode 100644
index 00000000..4e81088b
--- /dev/null
+++ b/alg/causal_multitask_gaussian_processes_ite/utils/metrics.py
@@ -0,0 +1,23 @@
+
+# Copyright (c) 2019, Ahmed M. Alaa
+# Licensed under the BSD 3-clause license (see LICENSE.txt)
+
+import pandas as pd
+import numpy as np
+import scipy
+
+def compute_PEHE(T_true, T_est):
+    
+    return np.sqrt(np.mean((T_true.reshape((-1,1)) - T_est.reshape((-1,1)))**2))
+
+
+def mean_confidence_interval(data, confidence=0.95):
+ 
+    a     = 1.0 * np.array(data)
+    n     = len(a)
+    m, se = np.mean(a), scipy.stats.sem(a)
+    h     = se * scipy.stats.t.ppf((1 + confidence) / 2., n-1)
+    
+    return m, h
+    
+
diff --git a/alg/counterfactual_recurrent_network/CRN_decoder_evaluate.py b/alg/counterfactual_recurrent_network/CRN_decoder_evaluate.py
new file mode 100644
index 00000000..4fd62303
--- /dev/null
+++ b/alg/counterfactual_recurrent_network/CRN_decoder_evaluate.py
@@ -0,0 +1,260 @@
+'''
+Title: Estimating counterfactual treatment outcomes over time through adversarially balanced representations
+Authors: Ioana Bica, Ahmed M. Alaa, James Jordon, Mihaela van der Schaar
+International Conference on Learning Representations (ICLR) 2020
+
+Last Updated Date: January 15th 2020
+Code Author: Ioana Bica (ioana.bica95@gmail.com)
+'''
+
+import logging
+import pickle
+import numpy as np
+
+from utils.evaluation_utils import get_processed_data, get_mse_at_follow_up_time, \
+    load_trained_model, write_results_to_file
+from CRN_model import CRN_Model
+
+
+def fit_CRN_decoder(dataset_train, dataset_val, model_name, model_dir,
+                    encoder_hyperparams_file, decoder_hyperparams_file,
+                    b_hyperparam_opt):
+    logging.info("Fitting CRN decoder.")
+
+    _, length, num_covariates = dataset_train['current_covariates'].shape
+    num_treatments = dataset_train['current_treatments'].shape[-1]
+    num_outputs = dataset_train['outputs'].shape[-1]
+    num_inputs = dataset_train['current_covariates'].shape[-1] + dataset_train['current_treatments'].shape[-1]
+
+    params = {'num_treatments': num_treatments,
+              'num_covariates': num_covariates,
+              'num_outputs': num_outputs,
+              'max_sequence_length': length,
+              'num_epochs': 100}
+
+    hyperparams = dict()
+    num_simulations = 30
+    best_validation_mse = 1000000
+
+    with open(encoder_hyperparams_file, 'rb') as handle:
+        encoder_best_hyperparams = pickle.load(handle)
+
+    if b_hyperparam_opt:
+        logging.info("Performing hyperparameter optimization.")
+        for simulation in range(num_simulations):
+            logging.info("Simulation {} out of {}".format(simulation + 1, num_simulations))
+
+            # The first rnn hidden state in the decoder is initialized with the balancing representation
+            # outputed by the encoder.
+            hyperparams['rnn_hidden_units'] = encoder_best_hyperparams['br_size']
+
+            hyperparams['br_size'] = int(np.random.choice([0.5, 1.0, 2.0, 3.0, 4.0]) * num_inputs)
+            hyperparams['fc_hidden_units'] = int(np.random.choice([0.5, 1.0, 2.0, 3.0, 4.0]) * (hyperparams['br_size']))
+            hyperparams['learning_rate'] = np.random.choice([0.01, 0.001, 0.0001])
+            hyperparams['batch_size'] = np.random.choice([256, 512, 1024])
+            hyperparams['rnn_keep_prob'] = np.random.choice([0.7, 0.8, 0.9])
+
+            logging.info("Current hyperparams used for training \n {}".format(hyperparams))
+            model = CRN_Model(params, hyperparams, b_train_decoder=True)
+            model.train(dataset_train, dataset_val, model_name, model_dir)
+            validation_mse, _ = model.evaluate_predictions(dataset_val)
+
+            if (validation_mse < best_validation_mse):
+                logging.info(
+                    "Updating best validation loss | Previous best validation loss: {} | Current best validation loss: {}".format(
+                        best_validation_mse, validation_mse))
+                best_validation_mse = validation_mse
+                best_hyperparams = hyperparams.copy()
+
+            logging.info("Best hyperparams: \n {}".format(best_hyperparams))
+
+        write_results_to_file(decoder_hyperparams_file, best_hyperparams)
+
+    else:
+        # The rnn_hidden_units needs to be the same as the encoder br_size.
+        logging.info("Using default hyperparameters")
+        best_hyperparams = {
+            'br_size': 18,
+            'rnn_keep_prob': 0.9,
+            'fc_hidden_units': 36,
+            'batch_size': 1024,
+            'learning_rate': 0.001,
+            'rnn_hidden_units': encoder_best_hyperparams['br_size']}
+
+        write_results_to_file(decoder_hyperparams_file, best_hyperparams)
+
+    model = CRN_Model(params, best_hyperparams, b_train_decoder=True)
+    model.train(dataset_train, dataset_val, model_name, model_dir)
+
+
+def process_seq_data(data_map, states, projection_horizon):
+    """
+    Split the sequences in the training data to train the decoder.
+    """
+
+    outputs = data_map['outputs']
+    sequence_lengths = data_map['sequence_lengths']
+    active_entries = data_map['active_entries']
+    current_treatments = data_map['current_treatments']
+    previous_treatments = data_map['previous_treatments']
+    current_covariates = data_map['current_covariates']
+
+    num_patients, num_time_steps, num_features = outputs.shape
+
+    num_seq2seq_rows = num_patients * num_time_steps
+
+    seq2seq_state_inits = np.zeros((num_seq2seq_rows, states.shape[-1]))
+    seq2seq_previous_treatments = np.zeros((num_seq2seq_rows, projection_horizon, previous_treatments.shape[-1]))
+    seq2seq_current_treatments = np.zeros((num_seq2seq_rows, projection_horizon, current_treatments.shape[-1]))
+    seq2seq_current_covariates = np.zeros((num_seq2seq_rows, projection_horizon, current_covariates.shape[-1]))
+    seq2seq_outputs = np.zeros((num_seq2seq_rows, projection_horizon, outputs.shape[-1]))
+    seq2seq_active_entries = np.zeros((num_seq2seq_rows, projection_horizon, active_entries.shape[-1]))
+    seq2seq_sequence_lengths = np.zeros(num_seq2seq_rows)
+
+    total_seq2seq_rows = 0  # we use this to shorten any trajectories later
+
+    for i in range(num_patients):
+
+        sequence_length = int(sequence_lengths[i])
+
+        for t in range(1, sequence_length):  # shift outputs back by 1
+            seq2seq_state_inits[total_seq2seq_rows, :] = states[i, t - 1, :]  # previous state output
+
+            max_projection = min(projection_horizon, sequence_length - t)
+
+            seq2seq_active_entries[total_seq2seq_rows, :max_projection, :] = active_entries[i, t:t + max_projection, :]
+            seq2seq_previous_treatments[total_seq2seq_rows, :max_projection, :] = previous_treatments[i,
+                                                                                  t - 1:t + max_projection - 1, :]
+            seq2seq_current_treatments[total_seq2seq_rows, :max_projection, :] = current_treatments[i,
+                                                                                 t:t + max_projection, :]
+            seq2seq_outputs[total_seq2seq_rows, :max_projection, :] = outputs[i, t:t + max_projection, :]
+            seq2seq_sequence_lengths[total_seq2seq_rows] = max_projection
+            seq2seq_current_covariates[total_seq2seq_rows, :max_projection, :] = current_covariates[i,
+                                                                                 t:t + max_projection, :]
+
+            total_seq2seq_rows += 1
+
+    # Filter everything shorter
+    seq2seq_state_inits = seq2seq_state_inits[:total_seq2seq_rows, :]
+    seq2seq_previous_treatments = seq2seq_previous_treatments[:total_seq2seq_rows, :, :]
+    seq2seq_current_treatments = seq2seq_current_treatments[:total_seq2seq_rows, :, :]
+    seq2seq_current_covariates = seq2seq_current_covariates[:total_seq2seq_rows, :, :]
+    seq2seq_outputs = seq2seq_outputs[:total_seq2seq_rows, :, :]
+    seq2seq_active_entries = seq2seq_active_entries[:total_seq2seq_rows, :, :]
+    seq2seq_sequence_lengths = seq2seq_sequence_lengths[:total_seq2seq_rows]
+
+    # Package outputs
+    seq2seq_data_map = {
+        'init_state': seq2seq_state_inits,
+        'previous_treatments': seq2seq_previous_treatments,
+        'current_treatments': seq2seq_current_treatments,
+        'current_covariates': seq2seq_current_covariates,
+        'outputs': seq2seq_outputs,
+        'sequence_lengths': seq2seq_sequence_lengths,
+        'active_entries': seq2seq_active_entries,
+        'unscaled_outputs': seq2seq_outputs * data_map['output_stds'] + data_map['output_means'],
+        'output_means': data_map['output_means'],
+        'output_stds': data_map['output_stds'],
+    }
+
+    return seq2seq_data_map
+
+
+def process_counterfactual_seq_test_data(test_data, data_map, states, projection_horizon):
+    sequence_lengths = test_data['sequence_lengths']
+
+    outputs = data_map['outputs']
+    current_treatments = data_map['current_treatments']
+    previous_treatments = data_map['previous_treatments']
+    current_covariates = data_map['current_covariates']
+
+    num_patient_points = outputs.shape[0]
+    sequence_lengths = sequence_lengths - 1
+
+    seq2seq_state_inits = np.zeros((num_patient_points, states.shape[-1]))
+    seq2seq_previous_treatments = np.zeros((num_patient_points, projection_horizon, previous_treatments.shape[-1]))
+    seq2seq_current_treatments = np.zeros((num_patient_points, projection_horizon, current_treatments.shape[-1]))
+    seq2seq_current_covariates = np.zeros((num_patient_points, projection_horizon, current_covariates.shape[-1]))
+    seq2seq_outputs = np.zeros((num_patient_points, projection_horizon, outputs.shape[-1]))
+    seq2seq_active_entries = np.zeros((num_patient_points, projection_horizon, 1))
+    seq2seq_sequence_lengths = np.zeros(num_patient_points)
+
+    for i in range(num_patient_points):
+        seq_length = int(sequence_lengths[i])
+        seq2seq_state_inits[i] = states[i, seq_length - 1]
+        seq2seq_active_entries[i] = np.ones(shape=(projection_horizon, 1))
+        seq2seq_previous_treatments[i] = previous_treatments[i, seq_length - 1:seq_length + projection_horizon - 1, :]
+        seq2seq_current_treatments[i] = current_treatments[i, seq_length:seq_length + projection_horizon, :]
+        seq2seq_outputs[i] = outputs[i, seq_length: seq_length + projection_horizon, :]
+        seq2seq_sequence_lengths[i] = projection_horizon
+        seq2seq_current_covariates[i] = np.repeat([current_covariates[i, seq_length - 1]], projection_horizon, axis=0)
+
+    # Package outputs
+    seq2seq_data_map = {
+        'init_state': seq2seq_state_inits,
+        'previous_treatments': seq2seq_previous_treatments,
+        'current_treatments': seq2seq_current_treatments,
+        'current_covariates': seq2seq_current_covariates,
+        'outputs': seq2seq_outputs,
+        'sequence_lengths': seq2seq_sequence_lengths,
+        'active_entries': seq2seq_active_entries,
+        'unscaled_outputs': seq2seq_outputs * data_map['output_stds'] + data_map['output_means'],
+        'output_means': data_map['output_means'],
+        'output_stds': data_map['output_stds'],
+        'patient_types': test_data['patient_types'],
+        'patient_ids_all_trajectories': test_data['patient_ids_all_trajectories'],
+        'patient_current_t': test_data['patient_current_t']
+    }
+
+    return seq2seq_data_map
+
+
+def test_CRN_decoder(pickle_map, max_projection_horizon, projection_horizon, models_dir,
+                     encoder_model_name, encoder_hyperparams_file,
+                     decoder_model_name, decoder_hyperparams_file,
+                     b_decoder_hyperparm_tuning):
+    training_data = pickle_map['training_data']
+    validation_data = pickle_map['validation_data']
+    scaling_data = pickle_map['scaling_data']
+    training_processed = get_processed_data(training_data, scaling_data)
+    validation_processed = get_processed_data(validation_data, scaling_data)
+
+    encoder_model = load_trained_model(validation_processed, encoder_hyperparams_file, encoder_model_name, models_dir)
+    training_br_states = encoder_model.get_balancing_reps(training_processed)
+    validation_br_states = encoder_model.get_balancing_reps(validation_processed)
+
+    training_seq_processed = process_seq_data(training_processed, training_br_states, max_projection_horizon)
+    validation_seq_processed = process_seq_data(validation_processed, validation_br_states, max_projection_horizon)
+
+    fit_CRN_decoder(dataset_train=training_seq_processed, dataset_val=validation_seq_processed,
+                    model_dir=models_dir,
+                    model_name=decoder_model_name, encoder_hyperparams_file=encoder_hyperparams_file,
+                    decoder_hyperparams_file=decoder_hyperparams_file, b_hyperparam_opt=b_decoder_hyperparm_tuning)
+
+    test_data_seq_actions = pickle_map['test_data_seq']
+    test_processed = get_processed_data(pickle_map['test_data_seq'], scaling_data)
+    encoder_model = load_trained_model(test_processed, encoder_hyperparams_file, encoder_model_name,
+                                       models_dir)
+    test_br_states = encoder_model.get_balancing_reps(test_processed)
+    test_br_outputs = encoder_model.get_predictions(test_processed)
+
+    test_seq_processed = process_counterfactual_seq_test_data(test_data_seq_actions, test_processed, test_br_states,
+                                                              projection_horizon)
+    CRN_deocoder = load_trained_model(test_seq_processed, decoder_hyperparams_file, decoder_model_name, models_dir,
+                                      b_decoder_model=True)
+
+    seq_predictions = CRN_deocoder.get_autoregressive_sequence_predictions(test_data_seq_actions, test_processed,
+                                                                           test_br_states, test_br_outputs,
+                                                                           projection_horizon)
+    seq_predictions = seq_predictions * test_seq_processed['output_stds'] + test_seq_processed['output_means']
+
+    # During the simulation some trajectories in the test set have nan values. These were removed when
+    # computing the test metric. This only happens for the test set where we generate counterfactuals under different
+    # treatment plans.
+    nan_idx = np.unique(np.where(np.isnan(test_seq_processed['unscaled_outputs']))[0])
+    not_nan = np.array([i for i in range(seq_predictions.shape[0]) if i not in nan_idx])
+    mse = get_mse_at_follow_up_time(seq_predictions[not_nan], test_seq_processed['unscaled_outputs'][not_nan],
+                                    test_seq_processed['active_entries'][not_nan])
+
+    rmse = np.sqrt(mse[projection_horizon - 1]) / 1150 * 100  # Max tumour volume = 1150
+    return rmse
diff --git a/alg/counterfactual_recurrent_network/CRN_encoder_evaluate.py b/alg/counterfactual_recurrent_network/CRN_encoder_evaluate.py
new file mode 100644
index 00000000..18c039bf
--- /dev/null
+++ b/alg/counterfactual_recurrent_network/CRN_encoder_evaluate.py
@@ -0,0 +1,102 @@
+'''
+Title: Estimating counterfactual treatment outcomes over time through adversarially balanced representations
+Authors: Ioana Bica, Ahmed M. Alaa, James Jordon, Mihaela van der Schaar
+International Conference on Learning Representations (ICLR) 2020
+
+Last Updated Date: January 15th 2020
+Code Author: Ioana Bica (ioana.bica95@gmail.com)
+'''
+
+import logging
+import numpy as np
+
+from CRN_model import CRN_Model
+from utils.evaluation_utils import write_results_to_file, load_trained_model, get_processed_data
+
+
+
+def fit_CRN_encoder(dataset_train, dataset_val, model_name, model_dir, hyperparams_file,
+                    b_hyperparam_opt):
+    _, length, num_covariates = dataset_train['current_covariates'].shape
+    num_treatments = dataset_train['current_treatments'].shape[-1]
+    num_outputs = dataset_train['outputs'].shape[-1]
+    num_inputs = dataset_train['current_covariates'].shape[-1] + dataset_train['current_treatments'].shape[-1]
+
+    params = {'num_treatments': num_treatments,
+              'num_covariates': num_covariates,
+              'num_outputs': num_outputs,
+              'max_sequence_length': length,
+              'num_epochs': 100}
+
+    hyperparams = dict()
+    num_simulations = 50
+    best_validation_mse = 1000000
+
+    if b_hyperparam_opt:
+        logging.info("Performing hyperparameter optimization")
+        for simulation in range(num_simulations):
+            logging.info("Simulation {} out of {}".format(simulation + 1, num_simulations))
+
+            hyperparams['rnn_hidden_units'] = int(np.random.choice([0.5, 1.0, 2.0, 3.0, 4.0]) * num_inputs)
+            hyperparams['br_size'] = int(np.random.choice([0.5, 1.0, 2.0, 3.0, 4.0]) * num_inputs)
+            hyperparams['fc_hidden_units'] = int(np.random.choice([0.5, 1.0, 2.0, 3.0, 4.0]) * (hyperparams['br_size']))
+            hyperparams['learning_rate'] = np.random.choice([0.01, 0.001])
+            hyperparams['batch_size'] = np.random.choice([64, 128, 256])
+            hyperparams['rnn_keep_prob'] = np.random.choice([0.7, 0.8, 0.9])
+
+            logging.info("Current hyperparams used for training \n {}".format(hyperparams))
+            model = CRN_Model(params, hyperparams)
+            model.train(dataset_train, dataset_val, model_name, model_dir)
+            validation_mse, _ = model.evaluate_predictions(dataset_val)
+
+            if (validation_mse < best_validation_mse):
+                logging.info(
+                    "Updating best validation loss | Previous best validation loss: {} | Current best validation loss: {}".format(
+                        best_validation_mse, validation_mse))
+                best_validation_mse = validation_mse
+                best_hyperparams = hyperparams.copy()
+
+            logging.info("Best hyperparams: \n {}".format(best_hyperparams))
+
+        write_results_to_file(hyperparams_file, best_hyperparams)
+
+    else:
+        logging.info("Using default hyperparameters")
+        best_hyperparams = {
+            'rnn_hidden_units': 24,
+            'br_size': 12,
+            'fc_hidden_units': 36,
+            'learning_rate': 0.01,
+            'batch_size': 128,
+            'rnn_keep_prob': 0.9}
+        logging.info("Best hyperparams: \n {}".format(best_hyperparams))
+        write_results_to_file(hyperparams_file, best_hyperparams)
+
+    model = CRN_Model(params, best_hyperparams)
+    model.train(dataset_train, dataset_val, model_name, model_dir)
+
+
+
+def test_CRN_encoder(pickle_map, models_dir,
+                     encoder_model_name, encoder_hyperparams_file,
+                     b_encoder_hyperparm_tuning):
+
+    training_data = pickle_map['training_data']
+    validation_data = pickle_map['validation_data']
+    test_data = pickle_map['test_data']
+    scaling_data = pickle_map['scaling_data']
+
+    training_processed = get_processed_data(training_data, scaling_data)
+    validation_processed = get_processed_data(validation_data, scaling_data)
+    test_processed = get_processed_data(test_data, scaling_data)
+
+    fit_CRN_encoder(dataset_train=training_processed, dataset_val=validation_processed,
+                    model_name=encoder_model_name, model_dir=models_dir,
+                    hyperparams_file=encoder_hyperparams_file, b_hyperparam_opt=b_encoder_hyperparm_tuning)
+
+    CRN_encoder = load_trained_model(validation_processed, encoder_hyperparams_file, encoder_model_name, models_dir)
+    mean_mse, mse = CRN_encoder.evaluate_predictions(test_processed)
+
+    rmse = (np.sqrt(np.mean(mse))) / 1150 * 100  # Max tumour volume = 1150
+
+    return rmse
diff --git a/alg/counterfactual_recurrent_network/CRN_model.py b/alg/counterfactual_recurrent_network/CRN_model.py
new file mode 100644
index 00000000..50092cc6
--- /dev/null
+++ b/alg/counterfactual_recurrent_network/CRN_model.py
@@ -0,0 +1,474 @@
+'''
+Title: Estimating counterfactual treatment outcomes over time through adversarially balanced representations
+Authors: Ioana Bica, Ahmed M. Alaa, James Jordon, Mihaela van der Schaar
+International Conference on Learning Representations (ICLR) 2020
+
+Last Updated Date: January 15th 2020
+Code Author: Ioana Bica (ioana.bica95@gmail.com)
+'''
+
+
+import tensorflow as tf
+from tensorflow.contrib.rnn import LSTMCell, DropoutWrapper
+from tensorflow.python.ops import rnn
+
+from utils.flip_gradient import flip_gradient
+import numpy as np
+import os
+
+import logging
+
+
+class CRN_Model:
+    def __init__(self, params, hyperparams, b_train_decoder=False):
+        self.num_treatments = params['num_treatments']
+        self.num_covariates = params['num_covariates']
+        self.num_outputs = params['num_outputs']
+        self.max_sequence_length = params['max_sequence_length']
+        self.num_epochs = params['num_epochs']
+
+        self.br_size = hyperparams['br_size']
+        self.rnn_hidden_units = hyperparams['rnn_hidden_units']
+        self.fc_hidden_units = hyperparams['fc_hidden_units']
+        self.batch_size = hyperparams['batch_size']
+        self.rnn_keep_prob = hyperparams['rnn_keep_prob']
+        self.learning_rate = hyperparams['learning_rate']
+
+        self.b_train_decoder = b_train_decoder
+
+        tf.reset_default_graph()
+
+        self.current_covariates = tf.placeholder(tf.float32, [None, self.max_sequence_length, self.num_covariates])
+
+        # Initial previous treatment needs to consist of zeros (this is done when building the feed dictionary)
+        self.previous_treatments = tf.placeholder(tf.float32, [None, self.max_sequence_length, self.num_treatments])
+        self.current_treatments = tf.placeholder(tf.float32, [None, self.max_sequence_length, self.num_treatments])
+        self.outputs = tf.placeholder(tf.float32, [None, self.max_sequence_length, self.num_outputs])
+        self.active_entries = tf.placeholder(tf.float32, [None, self.max_sequence_length, self.num_outputs])
+
+        self.init_state = None
+        if (self.b_train_decoder):
+            self.init_state = tf.placeholder(tf.float32, [None, self.rnn_hidden_units])
+
+        self.alpha = tf.placeholder(tf.float32, [])  # Gradient reversal scalar
+
+    def build_balancing_representation(self):
+        self.rnn_input = tf.concat([self.current_covariates, self.previous_treatments], axis=-1)
+        self.sequence_length = self.compute_sequence_length(self.rnn_input)
+
+        rnn_cell = DropoutWrapper(LSTMCell(self.rnn_hidden_units, state_is_tuple=False),
+                                  output_keep_prob=self.rnn_keep_prob,
+                                  state_keep_prob=self.rnn_keep_prob,
+                                  variational_recurrent=True,
+                                  dtype=tf.float32)
+
+        decoder_init_state = None
+        if (self.b_train_decoder):
+            decoder_init_state = tf.concat([self.init_state, self.init_state], axis=-1)
+
+        rnn_output, _ = rnn.dynamic_rnn(
+            rnn_cell,
+            self.rnn_input,
+            initial_state=decoder_init_state,
+            dtype=tf.float32,
+            sequence_length=self.sequence_length)
+
+        # Flatten to apply same weights to all time steps.
+        rnn_output = tf.reshape(rnn_output, [-1, self.rnn_hidden_units])
+        balancing_representation = tf.layers.dense(rnn_output, self.br_size, activation=tf.nn.elu)
+
+        return balancing_representation
+
+    def build_treatment_assignments_one_hot(self, balancing_representation):
+        balancing_representation_gr = flip_gradient(balancing_representation, self.alpha)
+
+        treatments_network_layer = tf.layers.dense(balancing_representation_gr, self.fc_hidden_units,
+                                                   activation=tf.nn.elu)
+        treatment_logit_predictions = tf.layers.dense(treatments_network_layer, self.num_treatments, activation=None)
+        treatment_prob_predictions = tf.nn.softmax(treatment_logit_predictions)
+
+        return treatment_prob_predictions
+
+    def build_outcomes(self, balancing_representation):
+        current_treatments_reshape = tf.reshape(self.current_treatments, [-1, self.num_treatments])
+
+        outcome_network_input = tf.concat([balancing_representation, current_treatments_reshape], axis=-1)
+        outcome_network_layer = tf.layers.dense(outcome_network_input, self.fc_hidden_units,
+                                                activation=tf.nn.elu)
+        outcome_predictions = tf.layers.dense(outcome_network_layer, self.num_outputs, activation=None)
+
+        return outcome_predictions
+
+    def train(self, dataset_train, dataset_val, model_name, model_folder):
+        self.balancing_representation = self.build_balancing_representation()
+        self.treatment_prob_predictions = self.build_treatment_assignments_one_hot(self.balancing_representation)
+        self.predictions = self.build_outcomes(self.balancing_representation)
+
+        self.loss_treatments = self.compute_loss_treatments_one_hot(target_treatments=self.current_treatments,
+                                                                    treatment_predictions=self.treatment_prob_predictions,
+                                                                    active_entries=self.active_entries)
+        self.loss_outcomes = self.compute_loss_predictions(self.outputs, self.predictions, self.active_entries)
+        self.loss = self.loss_outcomes + self.loss_treatments
+        optimizer = self.get_optimizer()
+
+        # Setup tensorflow
+        tf_device = 'gpu'
+        if tf_device == "cpu":
+            tf_config = tf.ConfigProto(log_device_placement=False, device_count={'GPU': 0})
+        else:
+            tf_config = tf.ConfigProto(log_device_placement=False, device_count={'GPU': 1})
+            tf_config.gpu_options.allow_growth = True
+
+        self.sess = tf.Session(config=tf_config)
+        self.sess.run(tf.global_variables_initializer())
+        self.sess.run(tf.local_variables_initializer())
+
+        for epoch in range(self.num_epochs):
+            p = float(epoch) / float(self.num_epochs)
+            alpha_current = 2. / (1. + np.exp(-10. * p)) - 1
+
+            iteration = 0
+            for (batch_current_covariates, batch_previous_treatments, batch_current_treatments, batch_init_state,
+                 batch_outputs, batch_active_entries) in self.gen_epoch(dataset_train, batch_size=self.batch_size):
+                feed_dict = self.build_feed_dictionary(batch_current_covariates, batch_previous_treatments,
+                                                       batch_current_treatments, batch_init_state, batch_outputs,
+                                                       batch_active_entries,
+                                                       alpha_current)
+
+                _, training_loss, training_loss_outcomes, training_loss_treatments = self.sess.run(
+                    [optimizer, self.loss, self.loss_outcomes, self.loss_treatments],
+                    feed_dict=feed_dict)
+
+                iteration += 1
+
+            logging.info(
+                "Epoch {} out of {} | total loss = {} | outcome loss = {} | "
+                "treatment loss = {} | current alpha = {} ".format(epoch + 1, self.num_epochs, training_loss,
+                                                                   training_loss_outcomes,
+                                                                   training_loss_treatments, alpha_current))
+
+        # Validation loss
+        validation_loss, validation_loss_outcomes, \
+        validation_loss_treatments = self.compute_validation_loss(dataset_val)
+
+        validation_mse, _ = self.evaluate_predictions(dataset_val)
+
+        logging.info(
+            "Epoch {} Summary| Validation total loss = {} | Validation outcome loss = {} | Validation treatment loss {} | Validation mse = {}".format(
+                epoch, validation_loss, validation_loss_outcomes, validation_loss_treatments, validation_mse))
+
+        checkpoint_name = model_name + "_final"
+        self.save_network(self.sess, model_folder, checkpoint_name)
+
+    def load_model(self, model_name, model_folder):
+        self.balancing_representation = self.build_balancing_representation()
+        self.treatment_prob_predictions = self.build_treatment_assignments_one_hot(self.balancing_representation)
+        self.predictions = self.build_outcomes(self.balancing_representation)
+
+        tf_device = 'gpu'
+        if tf_device == "cpu":
+            tf_config = tf.ConfigProto(log_device_placement=False, device_count={'GPU': 0})
+        else:
+            tf_config = tf.ConfigProto(log_device_placement=False, device_count={'GPU': 1})
+            tf_config.gpu_options.allow_growth = True
+
+        self.sess = tf.Session(config=tf_config)
+        self.sess.run(tf.global_variables_initializer())
+        checkpoint_name = model_name + "_final"
+        self.load_network(self.sess, model_folder, checkpoint_name)
+
+    def build_feed_dictionary(self, batch_current_covariates, batch_previous_treatments,
+                              batch_current_treatments, batch_init_state,
+                              batch_outputs=None, batch_active_entries=None,
+                              alpha_current=1.0, lr_current=0.01, training_mode=True):
+        batch_size = batch_previous_treatments.shape[0]
+        zero_init_treatment = np.zeros(shape=[batch_size, 1, self.num_treatments])
+        new_batch_previous_treatments = np.concatenate([zero_init_treatment, batch_previous_treatments], axis=1)
+
+        if training_mode:
+            if self.b_train_decoder:
+                feed_dict = {self.current_covariates: batch_current_covariates,
+                             self.previous_treatments: batch_previous_treatments,
+                             self.current_treatments: batch_current_treatments,
+                             self.init_state: batch_init_state,
+                             self.outputs: batch_outputs,
+                             self.active_entries: batch_active_entries,
+                             self.alpha: alpha_current}
+
+            else:
+                feed_dict = {self.current_covariates: batch_current_covariates,
+                             self.previous_treatments: new_batch_previous_treatments,
+                             self.current_treatments: batch_current_treatments,
+                             self.outputs: batch_outputs,
+                             self.active_entries: batch_active_entries,
+                             self.alpha: alpha_current}
+        else:
+            if self.b_train_decoder:
+                feed_dict = {self.current_covariates: batch_current_covariates,
+                             self.previous_treatments: batch_previous_treatments,
+                             self.current_treatments: batch_current_treatments,
+                             self.init_state: batch_init_state,
+                             self.alpha: alpha_current}
+            else:
+                feed_dict = {self.current_covariates: batch_current_covariates,
+                             self.previous_treatments: new_batch_previous_treatments,
+                             self.current_treatments: batch_current_treatments,
+                             self.alpha: alpha_current}
+
+        return feed_dict
+
+    def gen_epoch(self, dataset, batch_size, training_mode=True):
+        dataset_size = dataset['current_covariates'].shape[0]
+        num_batches = int(dataset_size / batch_size) + 1
+
+        for i in range(num_batches):
+            if (i == num_batches - 1):
+                batch_samples = range(dataset_size - batch_size, dataset_size)
+            else:
+                batch_samples = range(i * batch_size, (i + 1) * batch_size)
+
+            if training_mode:
+                batch_current_covariates = dataset['current_covariates'][batch_samples, :, :]
+                batch_previous_treatments = dataset['previous_treatments'][batch_samples, :, :]
+                batch_current_treatments = dataset['current_treatments'][batch_samples, :, :]
+                batch_outputs = dataset['outputs'][batch_samples, :, :]
+                batch_active_entries = dataset['active_entries'][batch_samples, :, :]
+
+                batch_init_state = None
+                if self.b_train_decoder:
+                    batch_init_state = dataset['init_state'][batch_samples, :]
+
+                yield (batch_current_covariates, batch_previous_treatments, batch_current_treatments, batch_init_state,
+                       batch_outputs, batch_active_entries)
+            else:
+                batch_current_covariates = dataset['current_covariates'][batch_samples, :, :]
+                batch_previous_treatments = dataset['previous_treatments'][batch_samples, :, :]
+                batch_current_treatments = dataset['current_treatments'][batch_samples, :, :]
+
+                batch_init_state = None
+                if self.b_train_decoder:
+                    batch_init_state = dataset['init_state'][batch_samples, :]
+
+                yield (batch_current_covariates, batch_previous_treatments, batch_current_treatments, batch_init_state)
+
+    def compute_validation_loss(self, dataset):
+        validation_losses = []
+        validation_losses_outcomes = []
+        validation_losses_treatments = []
+
+        dataset_size = dataset['current_covariates'].shape[0]
+        if (dataset_size > 10000):
+            batch_size = 10000
+        else:
+            batch_size = dataset_size
+
+        for (batch_current_covariates, batch_previous_treatments, batch_current_treatments, batch_init_state,
+             batch_outputs, batch_active_entries) in self.gen_epoch(dataset, batch_size=batch_size):
+            feed_dict = self.build_feed_dictionary(batch_current_covariates, batch_previous_treatments,
+                                                   batch_current_treatments, batch_init_state, batch_outputs,
+                                                   batch_active_entries)
+
+            validation_loss, validation_loss_outcomes, validation_loss_treatments = self.sess.run(
+                [self.loss, self.loss_outcomes, self.loss_treatments],
+                feed_dict=feed_dict)
+
+            validation_losses.append(validation_loss)
+            validation_losses_outcomes.append(validation_loss_outcomes)
+            validation_losses_treatments.append(validation_loss_treatments)
+
+        validation_loss = np.mean(np.array(validation_losses))
+        validation_loss_outcomes = np.mean(np.array(validation_losses_outcomes))
+        validation_loss_treatments = np.mean(np.array(validation_losses_treatments))
+
+        return validation_loss, validation_loss_outcomes, validation_loss_treatments
+
+    def get_balancing_reps(self, dataset):
+        logging.info("Computing balancing representations.")
+
+        dataset_size = dataset['current_covariates'].shape[0]
+        balancing_reps = np.zeros(
+            shape=(dataset_size, self.max_sequence_length, self.br_size))
+
+        dataset_size = dataset['current_covariates'].shape[0]
+        if (dataset_size > 10000): # Does not fit into memory
+            batch_size = 10000
+        else:
+            batch_size = dataset_size
+
+        num_batches = int(dataset_size / batch_size) + 1
+
+        batch_id = 0
+        num_samples = 50
+        for (batch_current_covariates, batch_previous_treatments,
+             batch_current_treatments, batch_init_state) in self.gen_epoch(dataset, batch_size=batch_size,
+                                                                           training_mode=False):
+            feed_dict = self.build_feed_dictionary(batch_current_covariates, batch_previous_treatments,
+                                                   batch_current_treatments, batch_init_state, training_mode=False)
+
+            # Dropout samples
+            total_predictions = np.zeros(
+                shape=(batch_size, self.max_sequence_length, self.br_size))
+
+            for sample in range(num_samples):
+                br_outputs = self.sess.run(self.balancing_representation, feed_dict=feed_dict)
+                br_outputs = np.reshape(br_outputs,
+                                        newshape=(-1, self.max_sequence_length, self.br_size))
+                total_predictions += br_outputs
+
+            total_predictions /= num_samples
+
+            if (batch_id == num_batches - 1):
+                batch_samples = range(dataset_size - batch_size, dataset_size)
+            else:
+                batch_samples = range(batch_id * batch_size, (batch_id + 1) * batch_size)
+
+            batch_id += 1
+            balancing_reps[batch_samples] = total_predictions
+
+        return balancing_reps
+
+    def get_predictions(self, dataset):
+        logging.info("Performing one-step-ahed prediction.")
+        dataset_size = dataset['current_covariates'].shape[0]
+
+        predictions = np.zeros(
+            shape=(dataset_size, self.max_sequence_length, self.num_outputs))
+
+        dataset_size = dataset['current_covariates'].shape[0]
+        if (dataset_size > 10000):
+            batch_size = 10000
+        else:
+            batch_size = dataset_size
+
+        num_batches = int(dataset_size / batch_size) + 1
+
+        batch_id = 0
+        num_samples = 50
+        for (batch_current_covariates, batch_previous_treatments,
+             batch_current_treatments, batch_init_state) in self.gen_epoch(dataset, batch_size=batch_size,
+                                                                           training_mode=False):
+            feed_dict = self.build_feed_dictionary(batch_current_covariates, batch_previous_treatments,
+                                                   batch_current_treatments, batch_init_state, training_mode=False)
+
+            # Dropout samples
+            total_predictions = np.zeros(
+                shape=(batch_size, self.max_sequence_length, self.num_outputs))
+
+            for sample in range(num_samples):
+                predicted_outputs = self.sess.run(self.predictions, feed_dict=feed_dict)
+                predicted_outputs = np.reshape(predicted_outputs,
+                                               newshape=(-1, self.max_sequence_length, self.num_outputs))
+                total_predictions += predicted_outputs
+
+            total_predictions /= num_samples
+
+            if (batch_id == num_batches - 1):
+                batch_samples = range(dataset_size - batch_size, dataset_size)
+            else:
+                batch_samples = range(batch_id * batch_size, (batch_id + 1) * batch_size)
+
+            batch_id += 1
+            predictions[batch_samples] = total_predictions
+
+        return predictions
+
+    def get_autoregressive_sequence_predictions(self, test_data, data_map, encoder_states, encoder_outputs,
+                                                projection_horizon):
+        logging.info("Performing multi-step ahead prediction.")
+        current_treatments = data_map['current_treatments']
+        previous_treatments = data_map['previous_treatments']
+
+        sequence_lengths = test_data['sequence_lengths'] - 1
+        num_patient_points = current_treatments.shape[0]
+
+        current_dataset = dict()
+        current_dataset['current_covariates'] = np.zeros(shape=(num_patient_points, projection_horizon,
+                                                                test_data['current_covariates'].shape[-1]))
+        current_dataset['previous_treatments'] = np.zeros(shape=(num_patient_points, projection_horizon,
+                                                                 test_data['previous_treatments'].shape[-1]))
+        current_dataset['current_treatments'] = np.zeros(shape=(num_patient_points, projection_horizon,
+                                                                test_data['current_treatments'].shape[-1]))
+        current_dataset['init_state'] = np.zeros((num_patient_points, encoder_states.shape[-1]))
+
+        predicted_outputs = np.zeros(shape=(num_patient_points, projection_horizon,
+                                            test_data['outputs'].shape[-1]))
+
+        for i in range(num_patient_points):
+            seq_length = int(sequence_lengths[i])
+            current_dataset['init_state'][i] = encoder_states[i, seq_length - 1]
+            current_dataset['current_covariates'][i, 0, 0] = encoder_outputs[i, seq_length - 1]
+            current_dataset['previous_treatments'][i] = previous_treatments[i,
+                                                        seq_length - 1:seq_length + projection_horizon - 1, :]
+            current_dataset['current_treatments'][i] = current_treatments[i, seq_length:seq_length + projection_horizon,
+                                                       :]
+
+        for t in range(0, projection_horizon):
+            print(t)
+            predictions = self.get_predictions(current_dataset)
+            for i in range(num_patient_points):
+                predicted_outputs[i, t] = predictions[i, t]
+                if (t < projection_horizon - 1):
+                    current_dataset['current_covariates'][i, t + 1, 0] = predictions[i, t, 0]
+
+        test_data['predicted_outcomes'] = predicted_outputs
+
+        return predicted_outputs
+
+    def compute_loss_treatments_one_hot(self, target_treatments, treatment_predictions, active_entries):
+        treatment_predictions = tf.reshape(treatment_predictions, [-1, self.max_sequence_length, self.num_treatments])
+        cross_entropy_loss = tf.reduce_sum(
+            (- target_treatments * tf.log(treatment_predictions + 1e-8)) * active_entries) \
+                             / tf.reduce_sum(active_entries)
+        return cross_entropy_loss
+
+    def compute_loss_predictions(self, outputs, predictions, active_entries):
+        predictions = tf.reshape(predictions, [-1, self.max_sequence_length, self.num_outputs])
+        mse_loss = tf.reduce_sum(tf.square(outputs - predictions) * active_entries) \
+                   / tf.reduce_sum(active_entries)
+
+        return mse_loss
+
+    def evaluate_predictions(self, dataset):
+        predictions = self.get_predictions(dataset)
+        unscaled_predictions = predictions * dataset['output_stds'] \
+                               + dataset['output_means']
+        unscaled_predictions = np.reshape(unscaled_predictions,
+                                          newshape=(-1, self.max_sequence_length, self.num_outputs))
+        unscaled_outputs = dataset['unscaled_outputs']
+        active_entries = dataset['active_entries']
+
+        mse = self.get_mse_at_follow_up_time(unscaled_predictions, unscaled_outputs, active_entries)
+        mean_mse = np.mean(mse)
+        return mean_mse, mse
+
+    def get_mse_at_follow_up_time(self, prediction, output, active_entires):
+        mses = np.sum(np.sum((prediction - output) ** 2 * active_entires, axis=-1), axis=0) \
+               / active_entires.sum(axis=0).sum(axis=-1)
+        return mses
+
+    def get_optimizer(self):
+        optimizer = tf.train.AdamOptimizer(self.learning_rate).minimize(self.loss)
+        return optimizer
+
+    def compute_sequence_length(self, sequence):
+        used = tf.sign(tf.reduce_max(tf.abs(sequence), axis=2))
+        length = tf.reduce_sum(used, axis=1)
+        length = tf.cast(length, tf.int32)
+
+        return length
+
+    def save_network(self, tf_session, model_dir, checkpoint_name):
+        saver = tf.train.Saver(max_to_keep=100000)
+        vars = 0
+        for v in tf.global_variables():
+            vars += np.prod(v.get_shape().as_list())
+
+        save_path = saver.save(tf_session, os.path.join(model_dir, "{0}.ckpt".format(checkpoint_name)))
+        logging.info("Model saved to: {0}".format(save_path))
+
+    def load_network(self, tf_session, model_dir, checkpoint_name):
+        load_path = os.path.join(model_dir, "{0}.ckpt".format(checkpoint_name))
+        logging.info('Restoring model from {0}'.format(load_path))
+
+        saver = tf.train.Saver()
+        saver.restore(tf_session, load_path)
diff --git a/alg/counterfactual_recurrent_network/LICENSE b/alg/counterfactual_recurrent_network/LICENSE
new file mode 100644
index 00000000..ce115ec2
--- /dev/null
+++ b/alg/counterfactual_recurrent_network/LICENSE
@@ -0,0 +1,21 @@
+MIT License
+
+Copyright (c) 2020 Ioana Bica
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
diff --git a/alg/counterfactual_recurrent_network/README.md b/alg/counterfactual_recurrent_network/README.md
new file mode 100644
index 00000000..28b6945e
--- /dev/null
+++ b/alg/counterfactual_recurrent_network/README.md
@@ -0,0 +1,45 @@
+# [Estimating counterfactual treatment outcomes over time through adversarially balanced representations](https://openreview.net/forum?id=BJg866NFvB)
+
+### Ioana Bica, Ahmed M. Alaa, James Jordon, Mihaela van der Schaar
+
+#### International Conference on Learning Representations (ICLR) 2020
+
+Last Updated Date: January 15th 2020
+
+Code Author: Ioana Bica (ioana.bica95@gmail.com)
+
+The CRN (Counterfactual Recurrent Network) estimates the effects of treatments assigned over time. The CRN model consists of an encoder performing one-step ahead prediction of treatment responses and a decoder estimating the effects of sequences of treatments. 
+
+Outputs:
+
+   - RMSE for one-step-ahead prediction.  
+   
+   - RMSE for five-step-ahead prediction. 
+   
+   - Trained encoder and decoder models. 
+
+The CRN uses data from a Pharmacokinetic-Pharmacodynamic model of tumour growth which 
+which is a bio-mathematical model that simulates the combined effects of 
+chemotherapy and radiotherapy in non-small cell lung cancer patients
+(Geng et al 2017, https://www.nature.com/articles/s41598-017-13646-z). The same simulation model was used by Lim et al. 2018 
+(https://papers.nips.cc/paper/7977-forecasting-treatment-responses-over-time-using-recurrent-marginal-structural-networks.pdf)
+We adopt their implementation from: https://github.com/sjblim/rmsn_nips_2018 and extend it to incorporate counterfactual outcomes. 
+
+The chemo_coeff and radio_coeff in the simulation specify the amount of time-dependent confounding
+for the chemotherapy and radiotherapy applications. The results in the paper were obtained by varying the
+chemo_coeff and radio_coeff, and thus obtaining different datasets. For gamma=chemo_coeff=radio_coeff in {1, 2, 3, 4, 5} there are results for both one-step-ahead 
+prediction and sequence prediction in the paper (Figure 4).
+
+The synthetic dataset for each setting of chemo_coeff and radio_coeff is over 1GB in size, which is why it is re-generated every time the code is run. 
+
+### To test the Counterfactual Recurrent Network, run (this will use a default settings of hyperparameters):
+
+python test_crn.py --chemo_coeff=2 --radio_coeff=2 --model_name=crn_test_2
+
+### To perform hyperparameter optimization and test the Counterfactual Recurrent Network , run:
+
+python test_crn.py --chemo_coeff=2 --radio_coeff=2 --model_name=crn_test_2 --b_encoder_hyperparm_tuning=True --b_decoder_hyperparm_tuning=True
+
+For the results in the paper, hyperparameter optimization was run (this can take about 8 hours on an
+NVIDIA Tesla K80 GPU). 
+ 
diff --git a/alg/counterfactual_recurrent_network/test_crn.py b/alg/counterfactual_recurrent_network/test_crn.py
new file mode 100644
index 00000000..3ad102d3
--- /dev/null
+++ b/alg/counterfactual_recurrent_network/test_crn.py
@@ -0,0 +1,81 @@
+'''
+Title: Estimating counterfactual treatment outcomes over time through adversarially balanced representations
+Authors: Ioana Bica, Ahmed M. Alaa, James Jordon, Mihaela van der Schaar
+International Conference on Learning Representations (ICLR) 2020
+
+Last Updated Date: January 15th 2020
+Code Author: Ioana Bica (ioana.bica95@gmail.com)
+'''
+
+
+import os
+import argparse
+import logging
+
+from CRN_encoder_evaluate import test_CRN_encoder
+from CRN_decoder_evaluate import test_CRN_decoder
+from utils.cancer_simulation import get_cancer_sim_data
+
+
+def init_arg():
+    parser = argparse.ArgumentParser()
+    parser.add_argument("--chemo_coeff", default=4, type=int)
+    parser.add_argument("--radio_coeff", default=4, type=int)
+    parser.add_argument("--results_dir", default='results')
+    parser.add_argument("--model_name", default="crn_test_4")
+    parser.add_argument("--b_encoder_hyperparm_tuning", default=False)
+    parser.add_argument("--b_decoder_hyperparm_tuning", default=False)
+    return parser.parse_args()
+
+
+if __name__ == '__main__':
+
+    args = init_arg()
+
+    if not os.path.exists(args.results_dir):
+        os.mkdir(args.results_dir)
+
+    logging.basicConfig(format='%(levelname)s:%(message)s', level=logging.INFO)
+    pickle_map = get_cancer_sim_data(chemo_coeff=args.chemo_coeff, radio_coeff=args.radio_coeff, b_load=False,
+                                          b_save=False, model_root=args.results_dir)
+
+    encoder_model_name = 'encoder_' + args.model_name
+    encoder_hyperparams_file = '{}/{}_best_hyperparams.txt'.format(args.results_dir, encoder_model_name)
+
+    models_dir = '{}/crn_models'.format(args.results_dir)
+    if not os.path.exists(models_dir):
+        os.mkdir(models_dir)
+
+    rmse_encoder = test_CRN_encoder(pickle_map=pickle_map, models_dir=models_dir,
+                                    encoder_model_name=encoder_model_name,
+                                    encoder_hyperparams_file=encoder_hyperparams_file,
+                                    b_encoder_hyperparm_tuning=args.b_encoder_hyperparm_tuning)
+
+
+    decoder_model_name = 'decoder_' + args.model_name
+    decoder_hyperparams_file = '{}/{}_best_hyperparams.txt'.format(args.results_dir, decoder_model_name)
+
+    """
+    The counterfactual test data for a sequence of treatments in the future was simulated for a 
+    projection horizon of 5 timesteps. 
+   
+    """
+
+    max_projection_horizon = 5
+    projection_horizon = 5
+    
+    rmse_decoder = test_CRN_decoder(pickle_map=pickle_map, max_projection_horizon=max_projection_horizon,
+                                    projection_horizon=projection_horizon,
+                                    models_dir=models_dir,
+                                    encoder_model_name=encoder_model_name,
+                                    encoder_hyperparams_file=encoder_hyperparams_file,
+                                    decoder_model_name=decoder_model_name,
+                                    decoder_hyperparams_file=decoder_hyperparams_file,
+                                    b_decoder_hyperparm_tuning=args.b_decoder_hyperparm_tuning)
+
+    logging.info("Chemo coeff {} | Radio coeff {}".format(args.chemo_coeff, args.radio_coeff))
+    print("RMSE for one-step-ahead prediction.")
+    print(rmse_encoder)
+
+    print("Results for 5-step-ahead prediction.")
+    print(rmse_decoder)
diff --git a/alg/counterfactual_recurrent_network/utils/cancer_simulation.py b/alg/counterfactual_recurrent_network/utils/cancer_simulation.py
new file mode 100644
index 00000000..0b6c732d
--- /dev/null
+++ b/alg/counterfactual_recurrent_network/utils/cancer_simulation.py
@@ -0,0 +1,933 @@
+"""
+CODE ADAPTED FROM: https://github.com/sjblim/rmsn_nips_2018
+
+[Treatment Effects with RNNs] cancer_simulation
+Created on 2/4/2018 8:14 AM
+
+Medically realistic data simulation for small-cell lung cancer based on Geng et al 2017.
+URL: https://www.nature.com/articles/s41598-017-13646-z
+
+Notes:
+- Simulation time taken to be in days
+
+"""
+
+import logging
+import numpy as np
+import os
+import pickle
+import pandas as pd
+import matplotlib.pyplot as plt
+from scipy.stats import truncnorm  # we need to sample from truncated normal distributions
+
+
+# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+# Simulation Constants
+
+# Spherical calculations - tumours assumed to be spherical per Winer-Muram et al 2002.
+# URL: https://pubs.rsna.org/doi/10.1148/radiol.2233011026?url_ver=Z39.88-2003&rfr_id=ori%3Arid%3Acrossref.org&rfr_dat=cr_pub%3Dpubmed
+def calc_volume(diameter):
+    return 4.0 / 3.0 * np.pi * (diameter / 2.0) ** 3.0
+
+
+def calc_diameter(volume):
+    return ((volume / (4.0 / 3.0 * np.pi)) ** (1.0 / 3.0)) * 2.0
+
+
+# Tumour constants per
+tumour_cell_density = 5.8 * 10.0 ** 8.0  # cells per cm^3
+tumour_death_threshold = calc_volume(13)  # assume spherical
+
+# Patient cancer stage. (mu, sigma, lower bound, upper bound) - for lognormal dist
+tumour_size_distributions = {'I': (1.72, 4.70, 0.3, 5.0),
+                             'II': (1.96, 1.63, 0.3, 13.0),
+                             'IIIA': (1.91, 9.40, 0.3, 13.0),
+                             'IIIB': (2.76, 6.87, 0.3, 13.0),
+                             'IV': (3.86, 8.82, 0.3, 13.0)}  # 13.0 is the death condition
+
+# Observations of stage proportions taken from Detterbeck and Gibson 2008
+# - URL: http://www.jto.org/article/S1556-0864(15)33353-0/fulltext#cesec50\
+cancer_stage_observations = {'I': 1432,
+                             "II": 128,
+                             "IIIA": 1306,
+                             "IIIB": 7248,
+                             "IV": 12840}
+
+
+# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+# Simulation Functions
+
+def get_confounding_params(num_patients, chemo_coeff, radio_coeff):
+    """
+
+    Get original simulation parameters, and add extra ones to control confounding
+
+    :param num_patients:
+    :param chemo_coeff: Bias on action policy for chemotherapy assignments
+    :param radio_activation_group: Bias on action policy for chemotherapy assignments
+    :return:
+    """
+
+    basic_params = get_standard_params(num_patients)
+    patient_types = basic_params['patient_types']
+    tumour_stage_centres = [s for s in cancer_stage_observations if 'IIIA' not in s]
+    tumour_stage_centres.sort()
+
+    d_max = calc_diameter(tumour_death_threshold)
+    basic_params['chemo_sigmoid_intercepts'] = np.array([d_max / 2.0 for i in patient_types])
+    basic_params['radio_sigmoid_intercepts'] = np.array([d_max / 2.0 for i in patient_types])
+
+    basic_params['chemo_sigmoid_betas'] = np.array([chemo_coeff / d_max for i in patient_types])
+    basic_params['radio_sigmoid_betas'] = np.array([radio_coeff / d_max for i in patient_types])
+
+    return basic_params
+
+
+def get_standard_params(num_patients):  # additional params
+    """
+    Simulation parameters from the Nature article + adjustments for static variables
+
+    :param num_patients:
+    :return: simulation_parameters
+    """
+
+    # Adjustments for static variables
+    possible_patient_types = [1, 2, 3]
+    patient_types = np.random.choice(possible_patient_types,
+                                     num_patients)
+    chemo_mean_adjustments = np.array([0.0 if i < 3 else 0.1 for i in patient_types])
+    radio_mean_adjustments = np.array([0.0 if i > 1 else 0.1 for i in patient_types])
+
+    total = 0
+    for k in cancer_stage_observations:
+        total += cancer_stage_observations[k]
+    cancer_stage_proportions = {k: float(cancer_stage_observations[k]) / float(total) for k in
+                                cancer_stage_observations}
+
+    # remove possible entries
+    possible_stages = list(tumour_size_distributions.keys())
+    possible_stages.sort()
+
+    initial_stages = np.random.choice(possible_stages, num_patients,
+                                      p=[cancer_stage_proportions[k] for k in possible_stages])
+
+    # Get info on patient stages and initial volumes
+    output_initial_diam = []
+    patient_sim_stages = []
+    for stg in possible_stages:
+        count = np.sum((initial_stages == stg) * 1)
+
+        mu, sigma, lower_bound, upper_bound = tumour_size_distributions[stg]
+
+        # Convert lognorm bounds in to standard normal bounds
+        lower_bound = (np.log(lower_bound) - mu) / sigma
+        upper_bound = (np.log(upper_bound) - mu) / sigma
+
+        logging.info(("Simulating initial volumes for stage {} " +
+                      " with norm params: mu={}, sigma={}, lb={}, ub={}").format(
+            stg,
+            mu,
+            sigma,
+            lower_bound,
+            upper_bound))
+
+        norm_rvs = truncnorm.rvs(lower_bound, upper_bound,
+                                 size=count)  # truncated normal for realistic clinical outcome
+
+        initial_volume_by_stage = np.exp((norm_rvs * sigma) + mu)
+        output_initial_diam += list(initial_volume_by_stage)
+        patient_sim_stages += [stg for i in range(count)]
+
+    # Fixed params
+    K = calc_volume(30)  # carrying capacity given in cm, so convert to volume
+    alpha_beta_ratio = 10
+    alpha_rho_corr = 0.87
+
+    # Distributional parameters for dynamics
+    parameter_lower_bound = 0.0
+    parameter_upper_bound = np.inf
+    rho_params = (7 * 10 ** -5, 7.23 * 10 ** -3)
+    alpha_params = (0.0398, 0.168)
+    beta_c_params = (0.028, 0.0007)
+
+    # Get correlated simulation paramters (alpha, beta, rho) which respects bounds
+    alpha_rho_cov = np.array([[alpha_params[1] ** 2,
+                               alpha_rho_corr * alpha_params[1] * rho_params[1]],
+                              [alpha_rho_corr * alpha_params[1] * rho_params[1],
+                               rho_params[1] ** 2]])
+
+    alpha_rho_mean = np.array([alpha_params[0], rho_params[0]])
+
+    simulated_params = []
+
+    while len(simulated_params) < num_patients:  # Keep on simulating till we get the right number of params
+
+        param_holder = np.random.multivariate_normal(alpha_rho_mean, alpha_rho_cov, size=num_patients)
+
+        for i in range(param_holder.shape[0]):
+
+            # Ensure that all params fulfill conditions
+            if param_holder[i, 0] > parameter_lower_bound and param_holder[i, 1] > parameter_lower_bound:
+                simulated_params.append(param_holder[i, :])
+
+        logging.info("Got correlated params for {} patients".format(len(simulated_params)))
+
+    simulated_params = np.array(simulated_params)[:num_patients, :]  # shorten this back to normal
+    alpha_adjustments = alpha_params[0] * radio_mean_adjustments
+    alpha = simulated_params[:, 0] + alpha_adjustments
+    rho = simulated_params[:, 1]
+    beta = alpha / alpha_beta_ratio
+
+    # Get the remaining indep params
+    logging.info("Simulating beta c parameters")
+    beta_c_adjustments = beta_c_params[0] * chemo_mean_adjustments
+    beta_c = beta_c_params[0] + beta_c_params[1] * truncnorm.rvs(
+        (parameter_lower_bound - beta_c_params[0]) / beta_c_params[1],
+        (parameter_upper_bound - beta_c_params[0]) / beta_c_params[1],
+        size=num_patients) + beta_c_adjustments
+
+    output_holder = {'patient_types': patient_types,
+                     'initial_stages': np.array(patient_sim_stages),
+                     'initial_volumes': calc_volume(np.array(output_initial_diam)),  # assumed spherical with diam
+                     'alpha': alpha,
+                     'rho': rho,
+                     'beta': beta,
+                     'beta_c': beta_c,
+                     'K': np.array([K for i in range(num_patients)]),
+                     }
+    # np.random.exponential(expected_treatment_delay, num_patients),
+
+    # Randomise output params
+    logging.info("Randomising outputs")
+    idx = [i for i in range(num_patients)]
+    np.random.shuffle(idx)
+
+    output_params = {}
+    for k in output_holder:
+        output_params[k] = output_holder[k][idx]
+
+    return output_params
+
+
+def simulate(simulation_params, num_time_steps, assigned_actions=None):
+    """
+    Core routine to generate simulation paths
+
+    :param simulation_params:
+    :param num_time_steps:
+    :param assigned_actions:
+    :return:
+    """
+
+    total_num_radio_treatments = 1
+    total_num_chemo_treatments = 1
+
+    radio_amt = np.array([2.0 for i in range(total_num_radio_treatments)])  # Gy
+    radio_days = np.array([i + 1 for i in range(total_num_radio_treatments)])
+    chemo_amt = [5.0 for i in range(total_num_chemo_treatments)]
+    chemo_days = [(i + 1) * 7 for i in range(total_num_chemo_treatments)]
+
+    # sort this
+    chemo_idx = np.argsort(chemo_days)
+    chemo_amt = np.array(chemo_amt)[chemo_idx]
+    chemo_days = np.array(chemo_days)[chemo_idx]
+
+    drug_half_life = 1  # one day half life for drugs
+
+    # Unpack simulation parameters
+    initial_stages = simulation_params['initial_stages']
+    initial_volumes = simulation_params['initial_volumes']
+    alphas = simulation_params['alpha']
+    rhos = simulation_params['rho']
+    betas = simulation_params['beta']
+    beta_cs = simulation_params['beta_c']
+    Ks = simulation_params['K']
+    patient_types = simulation_params['patient_types']
+    window_size = simulation_params['window_size']  # controls the lookback of the treatment assignment policy
+
+    # Coefficients for treatment assignment probabilities
+    chemo_sigmoid_intercepts = simulation_params['chemo_sigmoid_intercepts']
+    radio_sigmoid_intercepts = simulation_params['radio_sigmoid_intercepts']
+    chemo_sigmoid_betas = simulation_params['chemo_sigmoid_betas']
+    radio_sigmoid_betas = simulation_params['radio_sigmoid_betas']
+
+    num_patients = initial_stages.shape[0]
+
+    # Commence Simulation
+    cancer_volume = np.zeros((num_patients, num_time_steps))
+    chemo_dosage = np.zeros((num_patients, num_time_steps))
+    radio_dosage = np.zeros((num_patients, num_time_steps))
+    chemo_application_point = np.zeros((num_patients, num_time_steps))
+    radio_application_point = np.zeros((num_patients, num_time_steps))
+    sequence_lengths = np.zeros(num_patients)
+    death_flags = np.zeros((num_patients, num_time_steps))
+    recovery_flags = np.zeros((num_patients, num_time_steps))
+    chemo_probabilities = np.zeros((num_patients, num_time_steps))
+    radio_probabilities = np.zeros((num_patients, num_time_steps))
+
+    noise_terms = 0.01 * np.random.randn(num_patients,
+                                         num_time_steps)  # 5% cell variability
+    recovery_rvs = np.random.rand(num_patients, num_time_steps)
+
+    chemo_application_rvs = np.random.rand(num_patients, num_time_steps)
+    radio_application_rvs = np.random.rand(num_patients, num_time_steps)
+
+    # Run actual simulation
+    for i in range(num_patients):
+        if (i%200 == 0):
+            logging.info("Simulating patient {} of {}".format(i, num_patients))
+        noise = noise_terms[i]
+
+        # initial values
+        cancer_volume[i, 0] = initial_volumes[i]
+        alpha = alphas[i]
+        beta = betas[i]
+        beta_c = beta_cs[i]
+        rho = rhos[i]
+        K = Ks[i]
+
+        # Setup cell volume
+        b_death = False
+        b_recover = False
+        for t in range(0, num_time_steps - 1):
+
+            current_chemo_dose = 0.0
+            previous_chemo_dose = 0.0 if t == 0 else chemo_dosage[i, t - 1]
+
+            # Action probabilities + death or recovery simulations
+            cancer_volume_used = cancer_volume[i, max(t - window_size, 0):t + 1]
+            cancer_diameter_used = np.array(
+                [calc_diameter(vol) for vol in cancer_volume_used]).mean()  # mean diameter over 15 days
+            cancer_metric_used = cancer_diameter_used
+
+            # probabilities
+            if assigned_actions is not None:
+                chemo_prob = assigned_actions[i, t, 0]
+                radio_prob = assigned_actions[i, t, 1]
+            else:
+
+                radio_prob = (1.0 / (1.0 + np.exp(- radio_sigmoid_betas[i]
+                                                  * (cancer_metric_used - radio_sigmoid_intercepts[i]))))
+                chemo_prob = (1.0 / (1.0 + np.exp(- chemo_sigmoid_betas[i] *
+                                                  (cancer_metric_used - chemo_sigmoid_intercepts[i]))))
+            chemo_probabilities[i, t] = chemo_prob
+            radio_probabilities[i, t] = radio_prob
+
+            # Action application
+            if radio_application_rvs[i, t] < radio_prob:
+                radio_application_point[i, t] = 1
+                radio_dosage[i, t] = radio_amt[0]
+
+            if chemo_application_rvs[i, t] < chemo_prob:
+                # Apply chemo treatment
+                chemo_application_point[i, t] = 1
+                current_chemo_dose = chemo_amt[0]
+
+            # Update chemo dosage
+            chemo_dosage[i, t] = previous_chemo_dose * np.exp(-np.log(2) / drug_half_life) + current_chemo_dose
+
+            cancer_volume[i, t + 1] = cancer_volume[i, t] * (1 +
+                                                             + rho * np.log(K / cancer_volume[i, t])
+                                                             - beta_c * chemo_dosage[i, t]
+                                                             - (alpha * radio_dosage[i, t] + beta * radio_dosage[
+                        i, t] ** 2)
+                                                             + noise[t])  # add noise to fit residuals
+
+            if cancer_volume[i, t + 1] > tumour_death_threshold:
+                cancer_volume[i, t + 1] = tumour_death_threshold
+                break  # patient death
+
+            # recovery threshold as defined by the previous stuff
+            if recovery_rvs[i, t + 1] < np.exp(-cancer_volume[i, t + 1] * tumour_cell_density):
+                cancer_volume[i, t + 1] = 0
+                break
+
+        # Package outputs
+        sequence_lengths[i] = int(t + 1)
+
+    outputs = {'cancer_volume': cancer_volume,
+               'chemo_dosage': chemo_dosage,
+               'radio_dosage': radio_dosage,
+               'chemo_application': chemo_application_point,
+               'radio_application': radio_application_point,
+               'chemo_probabilities': chemo_probabilities,
+               'radio_probabilities': radio_probabilities,
+               'sequence_lengths': sequence_lengths,
+               'patient_types': patient_types
+               }
+
+    return outputs
+
+
+def simulate_counterfactual_test_data(simulation_params, num_time_steps, assigned_actions=None):
+    """
+    Core routine to generate simulation test paths to asses all of the counterfactuals.
+
+    :param simulation_params:
+    :param num_time_steps:
+    :param assigned_actions:
+    :return:
+    """
+    np.random.seed(100)
+
+    total_num_radio_treatments = 1
+    total_num_chemo_treatments = 1
+
+    num_treatments = 4  # No treatment/Chemotherapy/Radiotherapy/Chemotherapy + Radiotherapy
+
+    radio_amt = np.array([2.0 for i in range(total_num_radio_treatments)])  # Gy
+    radio_days = np.array([i + 1 for i in range(total_num_radio_treatments)])
+    chemo_amt = [5.0 for i in range(total_num_chemo_treatments)]
+    chemo_days = [(i + 1) * 7 for i in range(total_num_chemo_treatments)]
+
+    # sort this
+    chemo_idx = np.argsort(chemo_days)
+    chemo_amt = np.array(chemo_amt)[chemo_idx]
+    chemo_days = np.array(chemo_days)[chemo_idx]
+
+    drug_half_life = 1  # one day half life for drugs
+
+    # Unpack simulation parameters
+    initial_stages = simulation_params['initial_stages']
+    initial_volumes = simulation_params['initial_volumes']
+    alphas = simulation_params['alpha']
+    rhos = simulation_params['rho']
+    betas = simulation_params['beta']
+    beta_cs = simulation_params['beta_c']
+    Ks = simulation_params['K']
+    patient_types = simulation_params['patient_types']
+    window_size = simulation_params['window_size']  # controls the lookback of the treatment assignment policy
+
+    # Coefficients for treatment assignment probabilities
+    chemo_sigmoid_intercepts = simulation_params['chemo_sigmoid_intercepts']
+    radio_sigmoid_intercepts = simulation_params['radio_sigmoid_intercepts']
+    chemo_sigmoid_betas = simulation_params['chemo_sigmoid_betas']
+    radio_sigmoid_betas = simulation_params['radio_sigmoid_betas']
+
+    num_patients = initial_stages.shape[0]
+
+    num_test_points = num_patients * num_time_steps * num_treatments
+
+    # Commence Simulation
+    cancer_volume = np.zeros((num_test_points, num_time_steps))
+    chemo_application_point = np.zeros((num_test_points, num_time_steps))
+    radio_application_point = np.zeros((num_test_points, num_time_steps))
+    sequence_lengths = np.zeros(num_test_points)
+    patient_types_all_trajectories = np.zeros(num_test_points)
+
+    test_idx = 0
+
+    # Run actual simulation
+    for i in range(num_patients):
+
+        if (i%200 == 0):
+            logging.info("Simulating patient {} of {}".format(i, num_patients))
+
+        noise = 0.01 * np.random.randn(num_time_steps)  # 5% cell variability
+        recovery_rvs = np.random.rand(num_time_steps)
+
+        # initial values
+        factual_cancer_volume = np.zeros(num_time_steps)
+        factual_chemo_dosage = np.zeros(num_time_steps)
+        factual_radio_dosage = np.zeros(num_time_steps)
+        factual_chemo_application_point = np.zeros(num_time_steps)
+        factual_radio_application_point = np.zeros(num_time_steps)
+        factual_chemo_probabilities = np.zeros(num_time_steps)
+        factual_radio_probabilities = np.zeros(num_time_steps)
+
+        chemo_application_rvs = np.random.rand(num_time_steps)
+        radio_application_rvs = np.random.rand(num_time_steps)
+
+        factual_cancer_volume[0] = initial_volumes[i]
+
+        alpha = alphas[i]
+        beta = betas[i]
+        beta_c = beta_cs[i]
+        rho = rhos[i]
+        K = Ks[i]
+
+        for t in range(0, num_time_steps - 1):
+
+            # Factual treatments and outcomes
+            current_chemo_dose = 0.0
+            previous_chemo_dose = 0.0 if t == 0 else factual_chemo_dosage[t - 1]
+
+            # Action probabilities + death or recovery simulations
+            cancer_volume_used = cancer_volume[i, max(t - window_size, 0):t + 1]
+            cancer_diameter_used = np.array(
+                [calc_diameter(vol) for vol in cancer_volume_used]).mean()  # mean diameter over 15 days
+            cancer_metric_used = cancer_diameter_used
+
+            # probabilities
+            radio_prob = (1.0 / (1.0 + np.exp(-radio_sigmoid_betas[i]
+                                              * (cancer_metric_used - radio_sigmoid_intercepts[i]))))
+            chemo_prob = (1.0 / (1.0 + np.exp(- chemo_sigmoid_betas[i] *
+                                              (cancer_metric_used - chemo_sigmoid_intercepts[i]))))
+
+            factual_chemo_probabilities[t] = chemo_prob
+            factual_radio_probabilities[t] = radio_prob
+
+            # Action application
+            if radio_application_rvs[t] < radio_prob:
+                factual_radio_application_point[t] = 1
+                factual_radio_dosage[t] = radio_amt[0]
+
+            if chemo_application_rvs[t] < chemo_prob:
+                factual_chemo_application_point[t] = 1
+                current_chemo_dose = chemo_amt[0]
+
+            # Update chemo dosage
+            factual_chemo_dosage[t] = previous_chemo_dose * np.exp(-np.log(2) / drug_half_life) + current_chemo_dose
+
+            # Factual treatments and outcomes
+            factual_cancer_volume[t + 1] = factual_cancer_volume[t] * (1 + rho * np.log(K / factual_cancer_volume[t])
+                                                                       - beta_c * factual_chemo_dosage[t] - (
+                                                                               alpha * factual_radio_dosage[
+                                                                           t] + beta * factual_radio_dosage[t] ** 2)
+                                                                       + noise[t + 1])  # add noise to fit residuals
+
+            factual_cancer_volume[t + 1] = np.clip(factual_cancer_volume[t + 1], 0, tumour_death_threshold)
+
+            # Popoulate arrays
+            cancer_volume[test_idx] = factual_cancer_volume
+            chemo_application_point[test_idx] = factual_chemo_application_point
+            radio_application_point[test_idx] = factual_radio_application_point
+            patient_types_all_trajectories[test_idx] = patient_types[i]
+            sequence_lengths[test_idx] = int(t) + 1
+            test_idx = test_idx + 1
+
+            # Counterfactual treatments and outcomes
+            treatment_options = [(0, 0), (0, 1), (1, 0), (1, 1)]  # First = chemo; second = radio
+
+            for treatment_option in treatment_options:
+                if (factual_chemo_application_point[t] == treatment_option[0] and factual_radio_application_point[t] ==
+                        treatment_option[1]):
+                    # This represents the factual treatment which was already considered
+                    continue
+                current_chemo_dose = 0.0
+                counterfactual_radio_dosage = 0.0
+                counterfactual_chemo_application_point = 0
+                counterfactual_radio_application_point = 0
+
+                if treatment_option[0] == 1:
+                    counterfactual_chemo_application_point = 1
+                    current_chemo_dose = chemo_amt[0]
+
+                if treatment_option[1] == 1:
+                    counterfactual_radio_application_point = 1
+                    counterfactual_radio_dosage = radio_amt[0]
+
+                counterfactual_chemo_dosage = previous_chemo_dose * np.exp(
+                    -np.log(2) / drug_half_life) + current_chemo_dose
+
+                counterfactual_cancer_volume = factual_cancer_volume[t] * (
+                        1 + rho * np.log(K / factual_cancer_volume[t])
+                        - beta_c * counterfactual_chemo_dosage - (
+                                alpha * counterfactual_radio_dosage + beta * counterfactual_radio_dosage ** 2)
+                        + noise[t + 1])
+
+                cancer_volume[test_idx][:t + 2] = np.append(factual_cancer_volume[:t + 1],
+                                                            [counterfactual_cancer_volume])
+                chemo_application_point[test_idx][:t + 1] = np.append(factual_chemo_application_point[:t],
+                                                                      [counterfactual_chemo_application_point])
+                radio_application_point[test_idx][:t + 1] = np.append(factual_radio_application_point[:t],
+                                                                      [counterfactual_radio_application_point])
+                patient_types_all_trajectories[test_idx] = patient_types[i]
+                sequence_lengths[test_idx] = int(t) + 1
+                test_idx = test_idx + 1
+
+            if (factual_cancer_volume[t + 1] >= tumour_death_threshold) or \
+                    recovery_rvs[t] <= np.exp(-factual_cancer_volume[t + 1] * tumour_cell_density):
+                break
+
+    outputs = {'cancer_volume': cancer_volume[:test_idx],
+               'chemo_application': chemo_application_point[:test_idx],
+               'radio_application': radio_application_point[:test_idx],
+               'sequence_lengths': sequence_lengths[:test_idx],
+               'patient_types': patient_types_all_trajectories[:test_idx]
+               }
+
+    print("Call to simulate counterfactuals data")
+
+    return outputs
+
+
+def simulate_sequence_test(simulation_params, num_time_steps, projection_horizon, treatment_options):
+    """
+    Core routine to generate simulation test paths to asses all of the counterfactuals.
+
+    :param simulation_params:
+    :param num_time_steps:
+    :param assigned_actions:
+    :return:
+    """
+
+    np.random.seed(100)
+
+    total_num_radio_treatments = 1
+    total_num_chemo_treatments = 1
+
+    radio_amt = np.array([2.0 for i in range(total_num_radio_treatments)])  # Gy
+    radio_days = np.array([i + 1 for i in range(total_num_radio_treatments)])
+    chemo_amt = [5.0 for i in range(total_num_chemo_treatments)]
+    chemo_days = [(i + 1) * 7 for i in range(total_num_chemo_treatments)]
+
+    # sort this
+    chemo_idx = np.argsort(chemo_days)
+    chemo_amt = np.array(chemo_amt)[chemo_idx]
+    chemo_days = np.array(chemo_days)[chemo_idx]
+
+    drug_half_life = 1  # one day half life for drugs
+
+    # Unpack simulation parameters
+    initial_stages = simulation_params['initial_stages']
+    initial_volumes = simulation_params['initial_volumes']
+    alphas = simulation_params['alpha']
+    rhos = simulation_params['rho']
+    betas = simulation_params['beta']
+    beta_cs = simulation_params['beta_c']
+    Ks = simulation_params['K']
+    patient_types = simulation_params['patient_types']
+    window_size = simulation_params['window_size']  # controls the lookback of the treatment assignment policy
+
+    # Coefficients for treatment assignment probabilities
+    chemo_sigmoid_intercepts = simulation_params['chemo_sigmoid_intercepts']
+    radio_sigmoid_intercepts = simulation_params['radio_sigmoid_intercepts']
+    chemo_sigmoid_betas = simulation_params['chemo_sigmoid_betas']
+    radio_sigmoid_betas = simulation_params['radio_sigmoid_betas']
+
+    num_patients = initial_stages.shape[0]
+
+    num_test_points = 2 * num_patients * num_time_steps * projection_horizon
+
+    # Commence Simulation
+    cancer_volume = np.zeros((num_test_points, num_time_steps + projection_horizon))
+    chemo_application_point = np.zeros((num_test_points, num_time_steps + projection_horizon))
+    radio_application_point = np.zeros((num_test_points, num_time_steps + projection_horizon))
+    sequence_lengths = np.zeros(num_test_points)
+    patient_types_all_trajectories = np.zeros(num_test_points)
+    patient_ids_all_trajectories = np.zeros(num_test_points)
+    patient_current_t = np.zeros(num_test_points)
+
+    test_idx = 0
+
+    # Run actual simulation
+    for i in range(num_patients):
+
+        if (i%200 == 0):
+            logging.info("Simulating patient {} of {}".format(i, num_patients))
+
+        noise = 0.01 * np.random.randn(num_time_steps + 20)  # 5% cell variability
+        recovery_rvs = np.random.rand(num_time_steps)
+
+        # initial values
+        factual_cancer_volume = np.zeros(num_time_steps)
+        factual_chemo_dosage = np.zeros(num_time_steps)
+        factual_radio_dosage = np.zeros(num_time_steps)
+        factual_chemo_application_point = np.zeros(num_time_steps)
+        factual_radio_application_point = np.zeros(num_time_steps)
+        factual_chemo_probabilities = np.zeros(num_time_steps)
+        factual_radio_probabilities = np.zeros(num_time_steps)
+
+        chemo_application_rvs = np.random.rand(num_time_steps)
+        radio_application_rvs = np.random.rand(num_time_steps)
+
+        factual_cancer_volume[0] = initial_volumes[i]
+
+        alpha = alphas[i]
+        beta = betas[i]
+        beta_c = beta_cs[i]
+        rho = rhos[i]
+        K = Ks[i]
+
+        for t in range(0, num_time_steps - 1):
+
+            # Factual treatments and outcomes
+            current_chemo_dose = 0.0
+            previous_chemo_dose = 0.0 if t == 0 else factual_chemo_dosage[t - 1]
+
+            # Action probabilities + death or recovery simulations
+            cancer_volume_used = cancer_volume[i, max(t - window_size, 0):t + 1]
+            cancer_diameter_used = np.array(
+                [calc_diameter(vol) for vol in cancer_volume_used]).mean()  # mean diameter over 15 days
+            cancer_metric_used = cancer_diameter_used
+
+            # probabilities
+            radio_prob = (1.0 / (1.0 + np.exp(-radio_sigmoid_betas[i]
+                                              * (cancer_metric_used - radio_sigmoid_intercepts[i]))))
+            chemo_prob = (1.0 / (1.0 + np.exp(- chemo_sigmoid_betas[i] *
+                                              (cancer_metric_used - chemo_sigmoid_intercepts[i]))))
+
+            factual_chemo_probabilities[t] = chemo_prob
+            factual_radio_probabilities[t] = radio_prob
+
+            # Action application
+            if radio_application_rvs[t] < radio_prob:
+                factual_radio_application_point[t] = 1
+                factual_radio_dosage[t] = radio_amt[0]
+
+            if chemo_application_rvs[t] < chemo_prob:
+                factual_chemo_application_point[t] = 1
+                current_chemo_dose = chemo_amt[0]
+
+            # Update chemo dosage
+            factual_chemo_dosage[t] = previous_chemo_dose * np.exp(-np.log(2) / drug_half_life) + current_chemo_dose
+
+            # Factual treatments and outcomes
+            factual_cancer_volume[t + 1] = factual_cancer_volume[t] * (1 + rho * np.log(K / factual_cancer_volume[t])
+                                                                       - beta_c * factual_chemo_dosage[t] - (
+                                                                               alpha * factual_radio_dosage[
+                                                                           t] + beta * factual_radio_dosage[t] ** 2)
+                                                                       + noise[t + 1])  # add noise to fit residuals
+
+            factual_cancer_volume[t + 1] = np.clip(factual_cancer_volume[t + 1], 0, tumour_death_threshold)
+
+            for treatment_option in treatment_options:
+
+                counterfactual_cancer_volume = np.zeros(shape=(t + 1 + projection_horizon + 1))
+                counterfactual_chemo_application_point = np.zeros(shape=(t + 1 + projection_horizon))
+                counterfactual_radio_application_point = np.zeros(shape=(t + 1 + projection_horizon))
+                counterfactual_chemo_dosage = np.zeros(shape=(t + 1 + projection_horizon))
+                counterfactual_radio_dosage = np.zeros(shape=(t + 1 + projection_horizon))
+
+                counterfactual_cancer_volume[:t + 2] = factual_cancer_volume[:t + 2]
+                counterfactual_chemo_application_point[:t + 1] = factual_chemo_application_point[:t + 1]
+                counterfactual_radio_application_point[:t + 1] = factual_radio_application_point[:t + 1]
+                counterfactual_chemo_dosage[:t + 1] = factual_chemo_dosage[:t + 1]
+                counterfactual_radio_dosage[:t + 1] = factual_radio_dosage[:t + 1]
+
+                for projection_time in range(0, projection_horizon):
+
+                    current_t = t + 1 + projection_time
+                    previous_chemo_dose = counterfactual_chemo_dosage[current_t - 1]
+
+                    current_chemo_dose = 0.0
+                    counterfactual_radio_dosage[current_t] = 0.0
+                    if treatment_option[projection_time][0] == 1:
+                        counterfactual_chemo_application_point[current_t] = 1
+                        current_chemo_dose = chemo_amt[0]
+
+                    if treatment_option[projection_time][1] == 1:
+                        counterfactual_radio_application_point[current_t] = 1
+                        counterfactual_radio_dosage[current_t] = radio_amt[0]
+
+                    counterfactual_chemo_dosage[current_t] = previous_chemo_dose * np.exp(
+                        -np.log(2) / drug_half_life) + current_chemo_dose
+
+                    counterfactual_cancer_volume[current_t + 1] = counterfactual_cancer_volume[current_t] * \
+                                                                  (1 + rho * np.log(
+                                                                      K / (counterfactual_cancer_volume[
+                                                                               current_t] + 1e-07) + 1e-07)
+                                                                   - beta_c * counterfactual_chemo_dosage[current_t] - (
+                                                                           alpha * counterfactual_radio_dosage[
+                                                                       current_t] + beta *
+                                                                           counterfactual_radio_dosage[
+                                                                               current_t] ** 2)
+                                                                   + noise[current_t + 1])
+
+                if (np.isnan(counterfactual_cancer_volume).any()):
+                    continue
+
+                cancer_volume[test_idx][:t + 1 + projection_horizon + 1] = counterfactual_cancer_volume
+                chemo_application_point[test_idx][:t + 1 + projection_horizon] = counterfactual_chemo_application_point
+                radio_application_point[test_idx][:t + 1 + projection_horizon] = counterfactual_radio_application_point
+                patient_types_all_trajectories[test_idx] = patient_types[i]
+                patient_ids_all_trajectories[test_idx] = i
+                patient_current_t[test_idx] = t
+
+                sequence_lengths[test_idx] = int(t) + 2
+                test_idx = test_idx + 1
+
+            if (factual_cancer_volume[t + 1] >= tumour_death_threshold) or \
+                    recovery_rvs[t] <= np.exp(-factual_cancer_volume[t + 1] * tumour_cell_density):
+                break
+
+    outputs = {'cancer_volume': cancer_volume[:test_idx],
+               'chemo_application': chemo_application_point[:test_idx],
+               'radio_application': radio_application_point[:test_idx],
+               'sequence_lengths': sequence_lengths[:test_idx],
+               'patient_types': patient_types_all_trajectories[:test_idx],
+               'patient_ids_all_trajectories': patient_ids_all_trajectories[:test_idx],
+               'patient_current_t': patient_current_t[:test_idx],
+               }
+
+    print("Call to simulate counterfactuals data")
+
+    return outputs
+
+
+def get_scaling_params(sim):
+    real_idx = ['cancer_volume', 'chemo_dosage', 'radio_dosage']
+
+    # df = pd.DataFrame({k: sim[k] for k in real_idx})
+    means = {}
+    stds = {}
+    seq_lengths = sim['sequence_lengths']
+    for k in real_idx:
+        active_values = []
+        for i in range(seq_lengths.shape[0]):
+            end = int(seq_lengths[i])
+            active_values += list(sim[k][i, :end])
+
+        means[k] = np.mean(active_values)
+        stds[k] = np.std(active_values)
+
+    # Add means for static variables`
+    means['patient_types'] = np.mean(sim['patient_types'])
+    stds['patient_types'] = np.std(sim['patient_types'])
+
+    return pd.Series(means), pd.Series(stds)
+
+
+# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+# Plotting Functions
+
+
+def plot_treatments(patient):
+    df = pd.DataFrame({'N(t)': outputs['cancer_volume'][patient],
+                       'C(t)': outputs['chemo_application'][patient],
+                       'd(t)': outputs['radio_application'][patient],
+                       })
+    df = df[['N(t)', "C(t)", "d(t)"]]
+    df.plot(secondary_y=['C(t)', 'd(t)'])
+    plt.xlabel("$t$")
+    plt.show()
+
+
+def plot_sigmoid_function():
+    """
+    Simple plots to visualise probabilities of treatment assignments
+
+    :return:
+    """
+
+    # Profile of treatment application sigmoid
+    for coeff in [i for i in range(11)]:
+        tumour_death_threshold = calc_volume(13)
+        assigned_beta = coeff / tumour_death_threshold
+        assigned_interp = tumour_death_threshold / 2
+        idx = np.array([0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9])
+        volumes = idx * tumour_death_threshold
+
+        def sigmoid_fxn(volume, beta, intercept):
+            return (1.0 / (1.0 + np.exp(-beta * (volume - intercept))))
+
+        outputs[coeff] = pd.Series(sigmoid_fxn(volumes, assigned_beta, assigned_interp), index=idx)
+
+    df = pd.DataFrame(outputs)
+    df.plot()
+    plt.show()
+
+
+def get_cancer_sim_data(chemo_coeff, radio_coeff, b_load, b_save=False, seed=100, model_root='results', window_size=15):
+    if window_size == 15:
+        pickle_file = os.path.join(model_root, 'new_cancer_sim_{}_{}.p'.format(chemo_coeff, radio_coeff))
+    else:
+        pickle_file = os.path.join(model_root,
+                                   'new_cancer_sim_{}_{}_{}.p'.format(chemo_coeff, radio_coeff, window_size))
+
+    def _generate():
+        num_time_steps = 60  # about half a year
+        np.random.seed(seed)
+        num_patients = 10000
+
+        params = get_confounding_params(num_patients, chemo_coeff=chemo_coeff,
+                                            radio_coeff=radio_coeff)
+        params['window_size'] = window_size
+        training_data = simulate(params, num_time_steps)
+
+        params = get_confounding_params(int(num_patients / 10), chemo_coeff=chemo_coeff,
+                                            radio_coeff=radio_coeff)
+        params['window_size'] = window_size
+        validation_data = simulate(params, num_time_steps)
+
+        params = get_confounding_params(int(num_patients / 10), chemo_coeff=chemo_coeff,
+                                            radio_coeff=radio_coeff)
+        params['window_size'] = window_size
+        test_data_factuals = simulate(params, num_time_steps)
+        test_data_counterfactuals = simulate_counterfactual_test_data(params, num_time_steps)
+
+        params = get_confounding_params(int(num_patients / 10), chemo_coeff=chemo_coeff,
+                                            radio_coeff=radio_coeff)
+        params['window_size'] = window_size
+        treatment_options = np.array(
+            [[(1, 0), (0, 0), (0, 0), (0, 0), (0, 0)],
+             [(0, 0), (1, 0), (0, 0), (0, 0), (0, 0)],
+             [(0, 0), (0, 0), (1, 0), (0, 0), (0, 0)],
+             [(0, 0), (0, 0), (0, 0), (1, 0), (0, 0)],
+             [(0, 0), (0, 0), (0, 0), (0, 0), (1, 0)],
+             [(0, 1), (0, 0), (0, 0), (0, 0), (0, 0)],
+             [(0, 0), (0, 1), (0, 0), (0, 0), (0, 0)],
+             [(0, 0), (0, 0), (0, 1), (0, 0), (0, 0)],
+             [(0, 0), (0, 0), (0, 0), (0, 1), (0, 0)],
+             [(0, 0), (0, 0), (0, 0), (0, 0), (0, 1)]
+             ])
+        test_data_seq = simulate_sequence_test(params, num_time_steps, 5, treatment_options)
+
+        scaling_data = get_scaling_params(training_data)
+
+        pickle_map = {'chemo_coeff': chemo_coeff,
+                      'radio_coeff': radio_coeff,
+                      'num_time_steps': num_time_steps,
+                      'training_data': training_data,
+                      'validation_data': validation_data,
+                      'test_data': test_data_counterfactuals,
+                      'test_data_factuals': test_data_factuals,
+                      'test_data_seq': test_data_seq,
+                      'scaling_data': scaling_data,
+                      'window_size': window_size}
+
+        if b_save:
+            logging.info("Saving pickle map to {}".format(pickle_file))
+            pickle.dump(pickle_map, open(pickle_file, 'wb'))
+        return pickle_map
+
+    # Controls whether to regenerate the data, or load from a persisted file
+    if not b_load:
+        pickle_map = _generate()
+
+    else:
+        logging.info("Loading pickle map from {}".format(pickle_file))
+
+        try:
+            pickle_map = pickle.load(open(pickle_file, "rb"))
+
+        except IOError:
+            logging.info("Pickle file does not exist, regenerating: {}".format(pickle_file))
+            pickle_map = _generate()
+
+    return pickle_map
+
+
+
+# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+#  Run Simulation
+
+
+if __name__ == "__main__":
+    logging.basicConfig(format='%(levelname)s:%(message)s', level=logging.INFO)
+
+    np.random.seed(100)
+
+    num_time_steps = 60  # 6 month followup
+    num_patients = 200
+
+    simulation_params = get_confounding_params(num_patients, chemo_coeff=5.0, radio_coeff=5.0)
+    simulation_params['window_size'] = 15
+
+    projection_horizon = 5
+    treatment_options = np.array(
+        [[(1, 0), (0, 0), (0, 1), (0, 0), (0, 0)],
+         [(0, 0), (1, 0), (0, 1), (0, 0), (0, 0)]])
+
+    outputs = simulate(simulation_params, num_time_steps)
+
+    print(outputs['cancer_volume'][:10])
+    print(outputs['chemo_probabilities'][:10])
+    print(outputs['radio_probabilities'][:10])
+
+    # Plot patient
+    plot_treatments(90)
+    # plot_treatments(63)
+
+    print("fin")
diff --git a/alg/counterfactual_recurrent_network/utils/evaluation_utils.py b/alg/counterfactual_recurrent_network/utils/evaluation_utils.py
new file mode 100644
index 00000000..16e7ba25
--- /dev/null
+++ b/alg/counterfactual_recurrent_network/utils/evaluation_utils.py
@@ -0,0 +1,159 @@
+'''
+Code Author: Ioana Bica (ioana.bica95@gmail.com)
+'''
+
+import numpy as np
+import pandas as pd
+
+from CRN_model import CRN_Model
+
+import pickle
+
+
+def write_results_to_file(filename, data):
+    with open(filename, 'wb') as handle:
+        pickle.dump(data, handle, protocol=2)
+
+def append_results_to_file(filename, data):
+    with open(filename, 'a+b') as handle:
+        pickle.dump(data, handle, protocol=2)
+
+
+def load_trained_model(dataset_test, hyperparams_file, model_name, model_folder, b_decoder_model=False):
+    _, length, num_covariates = dataset_test['current_covariates'].shape
+    num_treatments = dataset_test['current_treatments'].shape[-1]
+    num_outputs = dataset_test['outputs'].shape[-1]
+
+    params = {'num_treatments': num_treatments,
+              'num_covariates': num_covariates,
+              'num_outputs': num_outputs,
+              'max_sequence_length': length,
+              'num_epochs': 100}
+
+    print("Loading best hyperparameters for model")
+    with open(hyperparams_file, 'rb') as handle:
+        best_hyperparams = pickle.load(handle)
+
+    model = CRN_Model(params, best_hyperparams)
+    if (b_decoder_model):
+        model = CRN_Model(params, best_hyperparams, b_train_decoder=True)
+
+    model.load_model(model_name=model_name, model_folder=model_folder)
+    return model
+
+
+def get_processed_data(raw_sim_data,
+                       scaling_params):
+    """
+    Create formatted data to train both encoder and seq2seq atchitecture.
+    """
+    mean, std = scaling_params
+
+    horizon = 1
+    offset = 1
+
+    mean['chemo_application'] = 0
+    mean['radio_application'] = 0
+    std['chemo_application'] = 1
+    std['radio_application'] = 1
+
+    input_means = mean[
+        ['cancer_volume', 'patient_types', 'chemo_application', 'radio_application']].values.flatten()
+    input_stds = std[['cancer_volume', 'patient_types', 'chemo_application', 'radio_application']].values.flatten()
+
+    # Continuous values
+    cancer_volume = (raw_sim_data['cancer_volume'] - mean['cancer_volume']) / std['cancer_volume']
+    patient_types = (raw_sim_data['patient_types'] - mean['patient_types']) / std['patient_types']
+
+    patient_types = np.stack([patient_types for t in range(cancer_volume.shape[1])], axis=1)
+
+    # Binary application
+    chemo_application = raw_sim_data['chemo_application']
+    radio_application = raw_sim_data['radio_application']
+    sequence_lengths = raw_sim_data['sequence_lengths']
+
+    # Convert treatments to one-hot encoding
+
+    treatments = np.concatenate(
+        [chemo_application[:, :-offset, np.newaxis], radio_application[:, :-offset, np.newaxis]], axis=-1)
+
+    one_hot_treatments = np.zeros(shape=(treatments.shape[0], treatments.shape[1], 4))
+    for patient_id in range(treatments.shape[0]):
+        for timestep in range(treatments.shape[1]):
+            if (treatments[patient_id][timestep][0] == 0 and treatments[patient_id][timestep][1] == 0):
+                one_hot_treatments[patient_id][timestep] = [1, 0, 0, 0]
+            elif (treatments[patient_id][timestep][0] == 1 and treatments[patient_id][timestep][1] == 0):
+                one_hot_treatments[patient_id][timestep] = [0, 1, 0, 0]
+            elif (treatments[patient_id][timestep][0] == 0 and treatments[patient_id][timestep][1] == 1):
+                one_hot_treatments[patient_id][timestep] = [0, 0, 1, 0]
+            elif (treatments[patient_id][timestep][0] == 1 and treatments[patient_id][timestep][1] == 1):
+                one_hot_treatments[patient_id][timestep] = [0, 0, 0, 1]
+
+    one_hot_previous_treatments = one_hot_treatments[:, :-1, :]
+
+    current_covariates = np.concatenate(
+        [cancer_volume[:, :-offset, np.newaxis], patient_types[:, :-offset, np.newaxis]], axis=-1)
+    outputs = cancer_volume[:, horizon:, np.newaxis]
+
+    output_means = mean[['cancer_volume']].values.flatten()[0]  # because we only need scalars here
+    output_stds = std[['cancer_volume']].values.flatten()[0]
+
+    print(outputs.shape)
+
+    # Add active entires
+    active_entries = np.zeros(outputs.shape)
+
+    for i in range(sequence_lengths.shape[0]):
+        sequence_length = int(sequence_lengths[i])
+        active_entries[i, :sequence_length, :] = 1
+
+    raw_sim_data['current_covariates'] = current_covariates
+    raw_sim_data['previous_treatments'] = one_hot_previous_treatments
+    raw_sim_data['current_treatments'] = one_hot_treatments
+    raw_sim_data['outputs'] = outputs
+    raw_sim_data['active_entries'] = active_entries
+
+    raw_sim_data['unscaled_outputs'] = (outputs * std['cancer_volume'] + mean['cancer_volume'])
+    raw_sim_data['input_means'] = input_means
+    raw_sim_data['inputs_stds'] = input_stds
+    raw_sim_data['output_means'] = output_means
+    raw_sim_data['output_stds'] = output_stds
+
+    return raw_sim_data
+
+
+def get_mse_at_follow_up_time(mean, output, active_entires):
+        mses = np.sum(np.sum((mean - output) ** 2 * active_entires, axis=-1), axis=0) \
+               / active_entires.sum(axis=0).sum(axis=-1)
+
+        return pd.Series(mses, index=[idx for idx in range(len(mses))])
+
+
+def train_BR_optimal_model(dataset_train, dataset_val, hyperparams_file, model_name, model_folder,
+                           b_decoder_model=False):
+    _, length, num_covariates = dataset_train['current_covariates'].shape
+    num_treatments = dataset_train['current_treatments'].shape[-1]
+    num_outputs = dataset_train['outputs'].shape[-1]
+
+    params = {'num_treatments': num_treatments,
+              'num_covariates': num_covariates,
+              'num_outputs': num_outputs,
+              'max_sequence_length': length,
+              'num_epochs': 100}
+
+    print("Loading best hyperparameters for model")
+    with open(hyperparams_file, 'rb') as handle:
+        best_hyperparams = pickle.load(handle)
+
+    print("Best Hyperparameters")
+    print(best_hyperparams)
+
+    if (b_decoder_model):
+        print(best_hyperparams)
+        model = CRN_Model(params, best_hyperparams, b_train_decoder=True)
+    else:
+        model = CRN_Model(params, best_hyperparams)
+    model.train(dataset_train, dataset_val, model_name=model_name, model_folder=model_folder)
+
+
+
diff --git a/alg/counterfactual_recurrent_network/utils/flip_gradient.py b/alg/counterfactual_recurrent_network/utils/flip_gradient.py
new file mode 100644
index 00000000..efb6e126
--- /dev/null
+++ b/alg/counterfactual_recurrent_network/utils/flip_gradient.py
@@ -0,0 +1,32 @@
+"""
+CODE ADAPTED FROM https://github.com/pumpikano/tf-dann/blob/master/flip_gradient.py
+"""
+
+from __future__ import absolute_import
+from __future__ import division
+from __future__ import print_function
+
+import tensorflow as tf
+from tensorflow.python.framework import ops
+
+
+class FlipGradientBuilder(object):
+    def __init__(self):
+        self.num_calls = 0
+
+    def __call__(self, x, alpha):
+        grad_name = "FlipGradient%d" % self.num_calls
+
+        @ops.RegisterGradient(grad_name)
+        def _flip_gradients(op, grad):
+            return [tf.negative(grad) * alpha]
+
+        g = tf.get_default_graph()
+        with g.gradient_override_map({"Identity": grad_name}):
+            y = tf.identity(x)
+
+        self.num_calls += 1
+        return y
+
+flip_gradient = FlipGradientBuilder()
+
diff --git a/alg/deephit/README.md b/alg/deephit/README.md
new file mode 100644
index 00000000..a3e396da
--- /dev/null
+++ b/alg/deephit/README.md
@@ -0,0 +1,34 @@
+# DeepHit
+Title: "DeepHit: A Deep Learning Approach to Survival Analysis with Competing Risks"
+
+Authors: Changhee Lee, William R. Zame, Jinsung Yoon, Mihaela van der Schaar
+
+- Reference: C. Lee, W. R. Zame, J. Yoon, M. van der Schaar, "Yoon, J. Jordon, M. van der Schaar, "DeepHit: A Deep Learning Approach to Survival Analysis with Competing Risks," AAAI Conference on Artificial Intelligence (AAAI), 2018
+- Paper: http://medianetlab.ee.ucla.edu/papers/AAAI_2018_DeepHit
+- Supplementary: http://medianetlab.ee.ucla.edu/papers/AAAI_2018_DeepHit_Appendix
+
+### Description of the code
+This code shows the modified implementation of DeepHit on Metabric (single risk) and Synthetic (competing risks) datasets.
+
+The detailed modifications are as follows:
+- Hyper-parameter opimization using random search is implemented
+- Residual connections are removed
+- The definition of the time-dependent C-index is changed; please refer to T.A. Gerds et al, "Estimating a Time-Dependent Concordance Index for Survival Prediction Models with Covariate Dependent Censoring," Stat Med., 2013
+- Set "EVAL_TIMES" to a list of evaluation times of interest for optimizating the network with respect these evaluation times.
+
+
+### Note
+This implementation reports the time-dependent concordance index (C-index) that
+is defined in (T. Gerds, 2013) as a measure of discriminative
+performance instead of that in (L. Antolini, 2005) which was
+originally reported in our paper. In particular, the time-dependent
+C-index in (L. Antollini, 2005) reports a single value by averaging
+the discriminative performance of a survival model over time
+horizons. However, the time-dependent C-index in (T. Gerds, 2013)
+provides different values based on the evaluation times and, thus,
+provides additive value if one is interested in specific (or
+prescribed) time horizons.
+
+References:
+T. Gerds et al, "Estimating a Time-Dependent Concordance Index for Survival Prediction Models with Covariate Dependent Censoring," Stat Med., 2013.
+L. Antolini et al, "A Time-Dependent Discrimination Index for Survival Data," Stat Med., 2005.
diff --git a/alg/deephit/class_DeepHit.py b/alg/deephit/class_DeepHit.py
new file mode 100644
index 00000000..bdcf1255
--- /dev/null
+++ b/alg/deephit/class_DeepHit.py
@@ -0,0 +1,205 @@
+'''
+This declare DeepHit architecture:
+
+INPUTS:
+    - input_dims: dictionary of dimension information
+        > x_dim: dimension of features
+        > num_Event: number of competing events (this does not include censoring label)
+        > num_Category: dimension of time horizon of interest, i.e., |T| where T = {0, 1, ..., T_max-1}
+                      : this is equivalent to the output dimension
+    - network_settings:
+        > h_dim_shared & num_layers_shared: number of nodes and number of fully-connected layers for the shared subnetwork
+        > h_dim_CS & num_layers_CS: number of nodes and number of fully-connected layers for the cause-specific subnetworks
+        > active_fn: 'relu', 'elu', 'tanh'
+        > initial_W: Xavier initialization is used as a baseline
+
+LOSS FUNCTIONS:
+    - 1. loglikelihood (this includes log-likelihood of subjects who are censored)
+    - 2. rankding loss (this is calculated only for acceptable pairs; see the paper for the definition)
+    - 3. calibration loss (this is to reduce the calibration loss; this is not included in the paper version)
+'''
+
+import numpy as np
+import tensorflow as tf
+import random
+
+from tensorflow.contrib.layers import fully_connected as FC_Net
+
+### user-defined functions
+import utils_network as utils
+
+_EPSILON = 1e-08
+
+
+
+##### USER-DEFINED FUNCTIONS
+def log(x):
+    return tf.log(x + _EPSILON)
+
+def div(x, y):
+    return tf.div(x, (y + _EPSILON))
+
+
+class Model_DeepHit:
+    def __init__(self, sess, name, input_dims, network_settings):
+        self.sess               = sess
+        self.name               = name
+
+        # INPUT DIMENSIONS
+        self.x_dim              = input_dims['x_dim']
+
+        self.num_Event          = input_dims['num_Event']
+        self.num_Category       = input_dims['num_Category']
+
+        # NETWORK HYPER-PARMETERS
+        self.h_dim_shared       = network_settings['h_dim_shared']
+        self.h_dim_CS           = network_settings['h_dim_CS']
+        self.num_layers_shared  = network_settings['num_layers_shared']
+        self.num_layers_CS      = network_settings['num_layers_CS']
+
+        self.active_fn          = network_settings['active_fn']
+        self.initial_W          = network_settings['initial_W']
+        self.reg_W              = tf.contrib.layers.l2_regularizer(scale=1.0)
+        self.reg_W_out          = tf.contrib.layers.l1_regularizer(scale=1.0)
+
+        self._build_net()
+
+
+    def _build_net(self):
+        with tf.variable_scope(self.name):
+            #### PLACEHOLDER DECLARATION
+            self.mb_size     = tf.placeholder(tf.int32, [], name='batch_size')
+            self.lr_rate     = tf.placeholder(tf.float32, [], name='learning_rate')
+            self.keep_prob   = tf.placeholder(tf.float32, [], name='keep_probability')   #keeping rate
+            self.a           = tf.placeholder(tf.float32, [], name='alpha')
+            self.b           = tf.placeholder(tf.float32, [], name='beta')
+            self.c           = tf.placeholder(tf.float32, [], name='gamma')
+
+            self.x           = tf.placeholder(tf.float32, shape=[None, self.x_dim], name='inputs')
+            self.k           = tf.placeholder(tf.float32, shape=[None, 1], name='labels')     #event/censoring label (censoring:0)
+            self.t           = tf.placeholder(tf.float32, shape=[None, 1], name='timetoevents')
+
+            self.fc_mask1    = tf.placeholder(tf.float32, shape=[None, self.num_Event, self.num_Category], name='mask1')  #for Loss 1
+            self.fc_mask2    = tf.placeholder(tf.float32, shape=[None, self.num_Category], name='mask2')  #for Loss 2 / Loss 3
+
+
+            ##### SHARED SUBNETWORK w/ FCNETS
+            shared_out = utils.create_FCNet(self.x, self.num_layers_shared, self.h_dim_shared, self.active_fn, self.h_dim_shared, self.active_fn, self.initial_W, self.keep_prob, self.reg_W)
+            last_x = self.x  #for residual connection
+
+            h = tf.concat([last_x, shared_out], axis=1)
+
+            #(num_layers_CS) layers for cause-specific (num_Event subNets)
+            out = []
+            for _ in range(self.num_Event):
+                cs_out = utils.create_FCNet(h, (self.num_layers_CS), self.h_dim_CS, self.active_fn, self.h_dim_CS, self.active_fn, self.initial_W, self.keep_prob, self.reg_W)
+                out.append(cs_out)
+            out = tf.stack(out, axis=1) # stack referenced on subject
+            out = tf.reshape(out, [-1, self.num_Event*self.h_dim_CS])
+            out = tf.nn.dropout(out, keep_prob=self.keep_prob)
+
+            out = FC_Net(out, self.num_Event * self.num_Category, activation_fn=tf.nn.softmax, 
+                         weights_initializer=self.initial_W, weights_regularizer=self.reg_W_out, scope="Output")
+            self.out = tf.reshape(out, [-1, self.num_Event, self.num_Category])
+
+
+            ##### GET LOSS FUNCTIONS
+            self.loss_Log_Likelihood()      #get loss1: Log-Likelihood loss
+            self.loss_Ranking()             #get loss2: Ranking loss
+            self.loss_Calibration()         #get loss3: Calibration loss
+
+            self.LOSS_TOTAL = self.a*self.LOSS_1 + self.b*self.LOSS_2 + self.c*self.LOSS_3
+            self.solver = tf.train.AdamOptimizer(learning_rate=self.lr_rate).minimize(self.LOSS_TOTAL)
+
+
+    ### LOSS-FUNCTION 1 -- Log-likelihood loss
+    def loss_Log_Likelihood(self):
+        I_1 = tf.sign(self.k)
+
+        #for uncenosred: log P(T=t,K=k|x)
+        tmp1 = tf.reduce_sum(tf.reduce_sum(self.fc_mask1 * self.out, reduction_indices=2), reduction_indices=1, keep_dims=True)
+        tmp1 = I_1 * log(tmp1)
+
+        #for censored: log \sum P(T>t|x)
+        tmp2 = tf.reduce_sum(tf.reduce_sum(self.fc_mask1 * self.out, reduction_indices=2), reduction_indices=1, keep_dims=True)
+        tmp2 = (1. - I_1) * log(tmp2)
+
+        self.LOSS_1 = - tf.reduce_mean(tmp1 + 1.0*tmp2)
+
+
+    ### LOSS-FUNCTION 2 -- Ranking loss
+    def loss_Ranking(self):
+        sigma1 = tf.constant(1.0, dtype=tf.float32)
+
+        eta = []
+        for e in range(self.num_Event):
+            one_vector = tf.ones_like(self.t, dtype=tf.float32)
+            I_2 = tf.cast(tf.equal(self.k, e+1), dtype = tf.float32) #indicator for event
+            I_2 = tf.diag(tf.squeeze(I_2))
+            tmp_e = tf.reshape(tf.slice(self.out, [0, e, 0], [-1, 1, -1]), [-1, self.num_Category]) #event specific joint prob.
+
+            R = tf.matmul(tmp_e, tf.transpose(self.fc_mask2)) #no need to divide by each individual dominator
+            # r_{ij} = risk of i-th pat based on j-th time-condition (last meas. time ~ event time) , i.e. r_i(T_{j})
+
+            diag_R = tf.reshape(tf.diag_part(R), [-1, 1])
+            R = tf.matmul(one_vector, tf.transpose(diag_R)) - R # R_{ij} = r_{j}(T_{j}) - r_{i}(T_{j})
+            R = tf.transpose(R)                                 # Now, R_{ij} (i-th row j-th column) = r_{i}(T_{i}) - r_{j}(T_{i})
+
+            T = tf.nn.relu(tf.sign(tf.matmul(one_vector, tf.transpose(self.t)) - tf.matmul(self.t, tf.transpose(one_vector))))
+            # T_{ij}=1 if t_i < t_j  and T_{ij}=0 if t_i >= t_j
+
+            T = tf.matmul(I_2, T) # only remains T_{ij}=1 when event occured for subject i
+
+            tmp_eta = tf.reduce_mean(T * tf.exp(-R/sigma1), reduction_indices=1, keep_dims=True)
+
+            eta.append(tmp_eta)
+        eta = tf.stack(eta, axis=1) #stack referenced on subjects
+        eta = tf.reduce_mean(tf.reshape(eta, [-1, self.num_Event]), reduction_indices=1, keep_dims=True)
+
+        self.LOSS_2 = tf.reduce_sum(eta) #sum over num_Events
+
+
+
+    ### LOSS-FUNCTION 3 -- Calibration Loss
+    def loss_Calibration(self):
+        eta = []
+        for e in range(self.num_Event):
+            one_vector = tf.ones_like(self.t, dtype=tf.float32)
+            I_2 = tf.cast(tf.equal(self.k, e+1), dtype = tf.float32) #indicator for event
+            tmp_e = tf.reshape(tf.slice(self.out, [0, e, 0], [-1, 1, -1]), [-1, self.num_Category]) #event specific joint prob.
+
+            r = tf.reduce_sum(tmp_e * self.fc_mask2, axis=0) #no need to divide by each individual dominator
+            tmp_eta = tf.reduce_mean((r - I_2)**2, reduction_indices=1, keep_dims=True)
+
+            eta.append(tmp_eta)
+        eta = tf.stack(eta, axis=1) #stack referenced on subjects
+        eta = tf.reduce_mean(tf.reshape(eta, [-1, self.num_Event]), reduction_indices=1, keep_dims=True)
+
+        self.LOSS_3 = tf.reduce_sum(eta) #sum over num_Events
+
+    
+    def get_cost(self, DATA, MASK, PARAMETERS, keep_prob, lr_train):
+        (x_mb, k_mb, t_mb) = DATA
+        (m1_mb, m2_mb) = MASK
+        (alpha, beta, gamma) = PARAMETERS
+        return self.sess.run(self.LOSS_TOTAL, 
+                             feed_dict={self.x:x_mb, self.k:k_mb, self.t:t_mb, self.fc_mask1: m1_mb, self.fc_mask2:m2_mb, 
+                                        self.a:alpha, self.b:beta, self.c:gamma, 
+                                        self.mb_size: np.shape(x_mb)[0], self.keep_prob:keep_prob, self.lr_rate:lr_train})
+
+    def train(self, DATA, MASK, PARAMETERS, keep_prob, lr_train):
+        (x_mb, k_mb, t_mb) = DATA
+        (m1_mb, m2_mb) = MASK
+        (alpha, beta, gamma) = PARAMETERS
+        return self.sess.run([self.solver, self.LOSS_TOTAL], 
+                             feed_dict={self.x:x_mb, self.k:k_mb, self.t:t_mb, self.fc_mask1: m1_mb, self.fc_mask2:m2_mb, 
+                                        self.a:alpha, self.b:beta, self.c:gamma, 
+                                        self.mb_size: np.shape(x_mb)[0], self.keep_prob:keep_prob, self.lr_rate:lr_train})
+    
+    def predict(self, x_test, keep_prob=1.0):
+        return self.sess.run(self.out, feed_dict={self.x: x_test, self.mb_size: np.shape(x_test)[0], self.keep_prob: keep_prob})
+
+    # def predict(self, x_test, MASK, keep_prob=1.0):
+    #     (m1_test, m2_test) = MASK
+    #     return self.sess.run(self.out, 
+    #                          feed_dict={self.x: x_test, self.rnn_mask1:m1_test, self.rnn_mask2:m2_test, self.keep_prob: keep_prob})
diff --git a/alg/deephit/get_main.py b/alg/deephit/get_main.py
new file mode 100644
index 00000000..98cc9d65
--- /dev/null
+++ b/alg/deephit/get_main.py
@@ -0,0 +1,182 @@
+'''
+This train DeepHit, and outputs the validation performance for random search.
+
+INPUTS:
+    - DATA = (data, time, label)
+    - MASK = (mask1, mask2)
+    - in_parser: dictionary of hyperparameters
+    - out_itr: the training/testing split indicator
+    - eval_time: None or a list (e.g. [12, 24, 36]) at which the validation of the network is performed
+    - MAX_VALUE: maximum validation value
+    - OUT_ITERATION: total number of training/testing splits
+    - seed: random seed for training/testing/validation
+
+OUTPUTS:
+    - the validation performance of the trained network
+    - save the trained network in the folder directed by "in_parser['out_path'] + '/itr_' + str(out_itr)"
+'''
+import numpy as np
+import tensorflow as tf
+import random
+import os
+
+from termcolor import colored
+from sklearn.model_selection import train_test_split
+from class_DeepHit import Model_DeepHit
+from utils_eval import c_index, brier_score, weighted_c_index, weighted_brier_score
+
+
+
+##### USER-DEFINED FUNCTIONS
+def log(x):
+    return tf.log(x + 1e-8)
+
+
+def div(x, y):
+    return tf.div(x, (y + 1e-8))
+
+
+def f_get_minibatch(mb_size, x, label, time, mask1, mask2):
+    idx = range(np.shape(x)[0])
+    idx = random.sample(idx, mb_size)
+
+    x_mb = x[idx, :].astype(np.float32)
+    k_mb = label[idx, :].astype(np.float32) # censoring(0)/event(1,2,..) label
+    t_mb = time[idx, :].astype(np.float32)
+    m1_mb = mask1[idx, :, :].astype(np.float32) #fc_mask
+    m2_mb = mask2[idx, :].astype(np.float32) #fc_mask
+    return x_mb, k_mb, t_mb, m1_mb, m2_mb
+
+
+def get_valid_performance(DATA, MASK, in_parser, out_itr, eval_time=None, MAX_VALUE = -99, OUT_ITERATION=5, seed=1234):
+    ##### DATA & MASK
+    (data, time, label)  = DATA
+    (mask1, mask2)       = MASK
+
+    x_dim                       = np.shape(data)[1]
+    _, num_Event, num_Category  = np.shape(mask1)  # dim of mask1: [subj, Num_Event, Num_Category]
+    
+    ACTIVATION_FN               = {'relu': tf.nn.relu, 'elu': tf.nn.elu, 'tanh': tf.nn.tanh}
+
+    ##### HYPER-PARAMETERS
+    mb_size                     = in_parser['mb_size']
+
+    iteration                   = in_parser['iteration']
+
+    keep_prob                   = in_parser['keep_prob']
+    lr_train                    = in_parser['lr_train']
+
+
+    alpha                       = in_parser['alpha']  #for log-likelihood loss
+    beta                        = in_parser['beta']  #for ranking loss
+    gamma                       = in_parser['gamma']  #for RNN-prediction loss
+    parameter_name              = 'a' + str('%02.0f' %(10*alpha)) + 'b' + str('%02.0f' %(10*beta)) + 'c' + str('%02.0f' %(10*gamma))
+
+    initial_W                   = tf.contrib.layers.xavier_initializer()
+
+
+    ##### MAKE DICTIONARIES
+    # INPUT DIMENSIONS
+    input_dims                  = { 'x_dim'         : x_dim,
+                                    'num_Event'     : num_Event,
+                                    'num_Category'  : num_Category}
+
+    # NETWORK HYPER-PARMETERS
+    network_settings            = { 'h_dim_shared'       : in_parser['h_dim_shared'],
+                                    'num_layers_shared'  : in_parser['num_layers_shared'],
+                                    'h_dim_CS'           : in_parser['h_dim_CS'],
+                                    'num_layers_CS'      : in_parser['num_layers_CS'],
+                                    'active_fn'          : ACTIVATION_FN[in_parser['active_fn']],
+                                    'initial_W'          : initial_W }
+
+
+    file_path_final = in_parser['out_path'] + '/itr_' + str(out_itr)
+
+    #change parameters...
+    if not os.path.exists(file_path_final + '/models/'):
+        os.makedirs(file_path_final + '/models/')
+
+
+    print (file_path_final + ' (a:' + str(alpha) + ' b:' + str(beta) + ' c:' + str(gamma) + ')' )
+
+    ##### CREATE DEEPFHT NETWORK
+    tf.reset_default_graph()
+
+    config = tf.ConfigProto()
+    config.gpu_options.allow_growth = True
+    sess = tf.Session(config=config)
+
+    model = Model_DeepHit(sess, "DeepHit", input_dims, network_settings)
+    saver = tf.train.Saver()
+
+    sess.run(tf.global_variables_initializer())
+
+
+    ### TRAINING-TESTING SPLIT
+    (tr_data,te_data, tr_time,te_time, tr_label,te_label, 
+     tr_mask1,te_mask1, tr_mask2,te_mask2)  = train_test_split(data, time, label, mask1, mask2, test_size=0.20, random_state=seed) 
+    
+
+    (tr_data,va_data, tr_time,va_time, tr_label,va_label, 
+     tr_mask1,va_mask1, tr_mask2,va_mask2)  = train_test_split(tr_data, tr_time, tr_label, tr_mask1, tr_mask2, test_size=0.20, random_state=seed) 
+    
+    max_valid = -99
+    stop_flag = 0
+
+    if eval_time is None:
+        eval_time = [int(np.percentile(tr_time, 25)), int(np.percentile(tr_time, 50)), int(np.percentile(tr_time, 75))]
+
+
+    ### TRAINING - MAIN
+    print( "MAIN TRAINING ...")
+    print( "EVALUATION TIMES: " + str(eval_time))
+
+    avg_loss = 0
+    for itr in range(iteration):
+        if stop_flag > 5: #for faster early stopping
+            break
+        else:
+            x_mb, k_mb, t_mb, m1_mb, m2_mb = f_get_minibatch(mb_size, tr_data, tr_label, tr_time, tr_mask1, tr_mask2)
+            DATA = (x_mb, k_mb, t_mb)
+            MASK = (m1_mb, m2_mb)
+            PARAMETERS = (alpha, beta, gamma)
+            _, loss_curr = model.train(DATA, MASK, PARAMETERS, keep_prob, lr_train)
+            avg_loss += loss_curr/1000
+                
+            if (itr+1)%1000 == 0:
+                print('|| ITR: ' + str('%04d' % (itr + 1)) + ' | Loss: ' + colored(str('%.4f' %(avg_loss)), 'yellow' , attrs=['bold']))
+                avg_loss = 0
+
+            ### VALIDATION  (based on average C-index of our interest)
+            if (itr+1)%1000 == 0:
+                ### PREDICTION
+                pred = model.predict(va_data)
+
+                ### EVALUATION
+                va_result1 = np.zeros([num_Event, len(eval_time)])
+
+                for t, t_time in enumerate(eval_time):
+                    eval_horizon = int(t_time)
+
+                    if eval_horizon >= num_Category:
+                        print('ERROR: evaluation horizon is out of range')
+                        va_result1[:, t] = va_result2[:, t] = -1
+                    else:
+                        risk = np.sum(pred[:,:,:(eval_horizon+1)], axis=2) #risk score until eval_time
+                        for k in range(num_Event):
+                            # va_result1[k, t] = c_index(risk[:,k], va_time, (va_label[:,0] == k+1).astype(int), eval_horizon) #-1 for no event (not comparable)
+                            va_result1[k, t] = weighted_c_index(tr_time, (tr_label[:,0] == k+1).astype(int), risk[:,k], va_time, (va_label[:,0] == k+1).astype(int), eval_horizon)
+                tmp_valid = np.mean(va_result1)
+
+
+                if tmp_valid >  max_valid:
+                    stop_flag = 0
+                    max_valid = tmp_valid
+                    print( 'updated.... average c-index = ' + str('%.4f' %(tmp_valid)))
+
+                    if max_valid > MAX_VALUE:
+                        saver.save(sess, file_path_final + '/models/model_itr_' + str(out_itr))
+                else:
+                    stop_flag += 1
+
+    return max_valid
diff --git a/alg/deephit/import_data.py b/alg/deephit/import_data.py
new file mode 100644
index 00000000..6b00d884
--- /dev/null
+++ b/alg/deephit/import_data.py
@@ -0,0 +1,135 @@
+'''
+This provide the dimension/data/mask to train/test the network.
+
+Once must construct a function similar to "import_dataset_SYNTHETIC":
+    - DATA FORMAT:
+        > data: covariates with x_dim dimension.
+        > label: 0: censoring, 1 ~ K: K competing(single) risk(s)
+        > time: time-to-event or time-to-censoring
+    - Based on the data, creat mask1 and mask2 that are required to calculate loss functions.
+'''
+import numpy as np
+import pandas as pd
+import initpath_alg
+initpath_alg.init_sys_path()
+import utilmlab
+
+
+
+##### DEFINE USER-FUNCTIONS #####
+def f_get_Normalization(X, norm_mode):
+    num_Patient, num_Feature = np.shape(X)
+
+    if norm_mode == 'standard': #zero mean unit variance
+        for j in range(num_Feature):
+            if np.std(X[:,j]) != 0:
+                X[:,j] = (X[:,j] - np.mean(X[:, j]))/np.std(X[:,j])
+            else:
+                X[:,j] = (X[:,j] - np.mean(X[:, j]))
+    elif norm_mode == 'normal': #min-max normalization
+        for j in range(num_Feature):
+            X[:,j] = (X[:,j] - np.min(X[:,j]))/(np.max(X[:,j]) - np.min(X[:,j]))
+    else:
+        print("INPUT MODE ERROR!")
+
+    return X
+
+### MASK FUNCTIONS
+'''
+    fc_mask2      : To calculate LOSS_1 (log-likelihood loss)
+    fc_mask3      : To calculate LOSS_2 (ranking loss)
+'''
+def f_get_fc_mask2(time, label, num_Event, num_Category):
+    '''
+        mask4 is required to get the log-likelihood loss
+        mask4 size is [N, num_Event, num_Category]
+            if not censored : one element = 1 (0 elsewhere)
+            if censored     : fill elements with 1 after the censoring time (for all events)
+    '''
+    mask = np.zeros([np.shape(time)[0], num_Event, num_Category]) # for the first loss function
+    for i in range(np.shape(time)[0]):
+        if label[i,0] != 0:  #not censored
+            mask[i,int(label[i,0]-1),int(time[i,0])] = 1
+        else: #label[i,2]==0: censored
+            mask[i,:,int(time[i,0]+1):] =  1 #fill 1 until from the censoring time (to get 1 - \sum F)
+    return mask
+
+
+def f_get_fc_mask3(time, meas_time, num_Category):
+    '''
+        mask5 is required calculate the ranking loss (for pair-wise comparision)
+        mask5 size is [N, num_Category].
+        - For longitudinal measurements:
+             1's from the last measurement to the event time (exclusive and inclusive, respectively)
+             denom is not needed since comparing is done over the same denom
+        - For single measurement:
+             1's from start to the event time(inclusive)
+    '''
+    mask = np.zeros([np.shape(time)[0], num_Category]) # for the first loss function
+    if np.shape(meas_time):  #lonogitudinal measurements
+        for i in range(np.shape(time)[0]):
+            t1 = int(meas_time[i, 0]) # last measurement time
+            t2 = int(time[i, 0]) # censoring/event time
+            mask[i,(t1+1):(t2+1)] = 1  #this excludes the last measurement time and includes the event time
+    else:                    #single measurement
+        for i in range(np.shape(time)[0]):
+            t = int(time[i, 0]) # censoring/event time
+            mask[i,:(t+1)] = 1  #this excludes the last measurement time and includes the event time
+    return mask
+
+
+def import_dataset_SYNTHETIC(norm_mode='standard'):
+    in_filename = '{}/synthetic/synthetic_comprisk.csv'.format(
+        utilmlab.get_data_dir())
+    df = pd.read_csv(in_filename, sep=',')
+    
+    label           = np.asarray(df[['label']])
+    time            = np.asarray(df[['time']])
+    data            = np.asarray(df.iloc[:,4:])
+    data            = f_get_Normalization(data, norm_mode)
+
+    num_Category    = int(np.max(time) * 1.2)  #to have enough time-horizon
+    num_Event       = int(len(np.unique(label)) - 1) #only count the number of events (do not count censoring as an event)
+
+    x_dim           = np.shape(data)[1]
+
+    mask1           = f_get_fc_mask2(time, label, num_Event, num_Category)
+    mask2           = f_get_fc_mask3(time, -1, num_Category)
+
+    DIM             = (x_dim)
+    DATA            = (data, time, label)
+    MASK            = (mask1, mask2)
+
+    return DIM, DATA, MASK
+
+
+def import_dataset_METABRIC(norm_mode='standard'):
+    in_filename1 = '{}/metabric/cleaned_features_final.csv'.format(
+        utilmlab.get_data_dir())
+    in_filename2 = '{}/metabric/label.csv'.format(
+        utilmlab.get_data_dir())
+
+    df1 = pd.read_csv(in_filename1, sep =',')
+    df2 = pd.read_csv(in_filename2, sep =',')
+
+    data  = np.asarray(df1)
+    data  = f_get_Normalization(data, norm_mode)
+    
+    time  = np.asarray(df2[['event_time']])
+    # time  = np.round(time/12.) #unit time = month
+    label = np.asarray(df2[['label']])
+
+    
+    num_Category    = int(np.max(time) * 1.2)        #to have enough time-horizon
+    num_Event       = int(len(np.unique(label)) - 1) #only count the number of events (do not count censoring as an event)
+
+    x_dim           = np.shape(data)[1]
+
+    mask1           = f_get_fc_mask2(time, label, num_Event, num_Category)
+    mask2           = f_get_fc_mask3(time, -1, num_Category)
+
+    DIM             = (x_dim)
+    DATA            = (data, time, label)
+    MASK            = (mask1, mask2)
+
+    return DIM, DATA, MASK
diff --git a/alg/deephit/initpath_alg.py b/alg/deephit/initpath_alg.py
new file mode 100644
index 00000000..20c5a003
--- /dev/null
+++ b/alg/deephit/initpath_alg.py
@@ -0,0 +1,12 @@
+def init_sys_path():
+    import os
+    import sys
+    proj_dir = os.path.abspath(
+        os.path.join(
+            os.path.join(
+                os.path.dirname(os.path.realpath(__file__)),
+                os.pardir),
+            os.pardir))
+    sys.path.append(os.path.join(proj_dir, 'init'))
+    import initpath
+    initpath.platform_init_path(proj_dir)
diff --git a/alg/deephit/main_RandomSearch.py b/alg/deephit/main_RandomSearch.py
new file mode 100644
index 00000000..73d9c8f2
--- /dev/null
+++ b/alg/deephit/main_RandomSearch.py
@@ -0,0 +1,192 @@
+'''
+This runs random search to find the optimized hyper-parameters using cross-validation
+
+INPUTS:
+    - OUT_ITERATION: # of training/testing splits
+    - RS_ITERATION: # of random search iteration
+    - data_mode: mode to select the time-to-event data from "import_data.py"
+    - seed: random seed for training/testing/validation splits
+    - EVAL_TIMES: list of time-horizons at which the performance is maximized; 
+                  the validation is performed at given EVAL_TIMES (e.g., [12, 24, 36])
+
+OUTPUTS:
+    - "hyperparameters_log.txt" is the output
+    - Once the hyper parameters are optimized, run "summarize_results.py" to get the final results.
+'''
+import os
+import time as tm
+import get_main
+import numpy as np
+import import_data as impt
+import argparse
+import copy
+import initpath_alg
+initpath_alg.init_sys_path()
+import utilmlab
+
+
+def init_arg():
+    parser = argparse.ArgumentParser()
+    parser.add_argument("--dataset", default="SYNTHETIC")
+    parser.add_argument("-o", default='.')
+    return parser.parse_args()
+
+
+# this saves the current hyperparameters
+def save_logging(dictionary, log_name):
+    with open(log_name, 'w') as f:
+        for key, value in dictionary.items():
+            f.write('%s:%s\n' % (key, value))
+
+
+# this open can calls the saved hyperparameters
+def load_logging(filename):
+    data = dict()
+    with open(filename) as f:
+        def is_float(input):
+            try:
+                num = float(input)
+            except ValueError:
+                return False
+            return True
+
+        for line in f.readlines():
+            if ':' in line:
+                key,value = line.strip().split(':', 1)
+                if value.isdigit():
+                    data[key] = int(value)
+                elif is_float(value):
+                    data[key] = float(value)
+                elif value == 'None':
+                    data[key] = None
+                else:
+                    data[key] = value
+            else:
+                pass # deal with bad lines of text here    
+    return data
+
+
+# this randomly select hyperparamters based on the given list of candidates
+def get_random_hyperparameters(out_path, iteration):
+    SET_BATCH_SIZE    = [32, 64, 128] #mb_size
+ 
+    SET_LAYERS        = [1,2,3,5] #number of layers
+    SET_NODES         = [50, 100, 200, 300] #number of nodes
+
+    SET_ACTIVATION_FN = ['relu', 'elu', 'tanh'] #non-linear activation functions
+
+    SET_ALPHA         = [0.1, 0.5, 1.0, 3.0, 5.0] #alpha values -> log-likelihood loss 
+    SET_BETA          = [0.1, 0.5, 1.0, 3.0, 5.0] #beta values -> ranking loss
+    SET_GAMMA         = [0.1, 0.5, 1.0, 3.0, 5.0] #gamma values -> calibration loss
+
+    new_parser = {'mb_size': SET_BATCH_SIZE[np.random.randint(len(SET_BATCH_SIZE))],
+
+                 # 'iteration': 50000,
+                 'iteration': iteration,
+
+                 'keep_prob': 0.6,
+                 'lr_train': 1e-4,
+
+                 'h_dim_shared': SET_NODES[np.random.randint(len(SET_NODES))],
+                 'h_dim_CS': SET_NODES[np.random.randint(len(SET_NODES))],
+                 'num_layers_shared':SET_LAYERS[np.random.randint(len(SET_LAYERS))],
+                 'num_layers_CS':SET_LAYERS[np.random.randint(len(SET_LAYERS))],
+                 'active_fn': SET_ACTIVATION_FN[np.random.randint(len(SET_ACTIVATION_FN))],
+
+                 'alpha':1.0, #default (set alpha = 1.0 and change beta and gamma)
+                 'beta':SET_BETA[np.random.randint(len(SET_BETA))],
+                 'gamma':0,   #default (no calibration loss)
+                 # 'alpha':SET_ALPHA[np.random.randint(len(SET_ALPHA))],
+                 # 'beta':SET_BETA[np.random.randint(len(SET_BETA))],
+                 # 'gamma':SET_GAMMA[np.random.randint(len(SET_GAMMA))],
+
+                 'out_path':out_path}
+    
+    return new_parser #outputs the dictionary of the randomly-chosen hyperparamters
+
+
+import argparse
+import pandas as pd
+
+
+def init_arg():
+    parser = argparse.ArgumentParser()
+    parser.add_argument("--dataset", default='SYNTHETIC')
+    parser.add_argument("-o")
+    parser.add_argument("--it", default=50000, type=int)
+    parser.add_argument("--itout", default=5, type=int)
+    parser.add_argument("--itrs", default=50, type=int)
+    return parser.parse_args()
+
+
+
+args = init_arg()
+
+odir = args.o
+logger = utilmlab.init_logger(odir, 'log_deephit.txt')
+
+##### MAIN SETTING
+OUT_ITERATION               = 5
+OUT_ITERATION               = args.itout
+RS_ITERATION                = args.itrs
+
+data_mode                   = args.dataset
+logger.info('data_mode:{}'.format(data_mode))
+seed                        = 1234
+iteration = args.it
+##### IMPORT DATASET
+'''
+    num_Category            = typically, max event/censoring time * 1.2 (to make enough time horizon)
+    num_Event               = number of evetns i.e. len(np.unique(label))-1
+    max_length              = maximum number of measurements
+    x_dim                   = data dimension including delta (num_features)
+    mask1, mask2            = used for cause-specific network (FCNet structure)
+
+    EVAL_TIMES              = set specific evaluation time horizons at which the validatoin performance is maximized. 
+    						  (This must be selected based on the dataset)
+
+'''
+if data_mode == 'SYNTHETIC':
+    (x_dim), (data, time, label), (mask1, mask2) = impt.import_dataset_SYNTHETIC(norm_mode = 'standard')
+    EVAL_TIMES = [12, 24, 36]
+elif data_mode == 'METABRIC':
+    (x_dim), (data, time, label), (mask1, mask2) = impt.import_dataset_METABRIC(norm_mode = 'standard')
+    EVAL_TIMES = [144, 288, 432] 
+else:
+    print('ERROR:  DATA_MODE NOT FOUND !!!')
+    assert 0
+
+DATA = (data, time, label)
+MASK = (mask1, mask2) #masks are required to calculate loss functions without for-loops.
+out_path      = data_mode + '/results/'
+
+out_path      = odir
+
+for itr in range(OUT_ITERATION):
+    
+    if not os.path.exists(out_path + '/itr_' + str(itr) + '/'):
+        os.makedirs(out_path + '/itr_' + str(itr) + '/')
+
+    max_valid = 0.
+    log_name = out_path + '/itr_' + str(itr) + '/hyperparameters_log.txt'
+
+    for r_itr in range(RS_ITERATION):
+        time_start_iter = tm.time()
+        logger.info('OUTER_ITERATION: ' + str(itr) + '({})'.format(
+            OUT_ITERATION))
+        logger.info('Random search... itr: ' + str(r_itr) + '({})'.format(
+            RS_ITERATION))
+        new_parser = get_random_hyperparameters(out_path, iteration)
+        logger.info('{}'.format(new_parser))
+
+        # get validation performance given the hyperparameters
+        tmp_max = get_main.get_valid_performance(copy.deepcopy(DATA), MASK, new_parser, itr, EVAL_TIMES, MAX_VALUE=max_valid)
+
+        if tmp_max > max_valid:
+            max_valid = tmp_max
+            max_parser = new_parser
+            save_logging(max_parser, log_name)  #save the hyperparameters if this provides the maximum validation performance
+
+        logger.info('Current best: ' + str(max_valid))
+        logger.info('time iter:{}s'.format(tm.time() - time_start_iter))
+        
diff --git a/alg/deephit/summarize_results.py b/alg/deephit/summarize_results.py
new file mode 100644
index 00000000..68dc2425
--- /dev/null
+++ b/alg/deephit/summarize_results.py
@@ -0,0 +1,259 @@
+import numpy as np
+import pandas as pd
+import tensorflow as tf
+import os
+import sys
+
+from termcolor import colored
+from tensorflow.contrib.layers import fully_connected as FC_Net
+from sklearn.metrics import brier_score_loss
+from sklearn.model_selection import train_test_split
+
+import import_data as impt
+import utils_network as utils
+
+from class_DeepHit import Model_DeepHit
+from utils_eval import c_index, brier_score, weighted_c_index, weighted_brier_score
+import argparse
+import initpath_alg
+initpath_alg.init_sys_path()
+import utilmlab
+
+
+def load_logging(filename):
+    data = dict()
+    with open(filename) as f:
+        def is_float(input):
+            try:
+                num = float(input)
+            except ValueError:
+                return False
+            return True
+
+        for line in f.readlines():
+            if ':' in line:
+                key,value = line.strip().split(':', 1)
+                if value.isdigit():
+                    data[key] = int(value)
+                elif is_float(value):
+                    data[key] = float(value)
+                elif value == 'None':
+                    data[key] = None
+                else:
+                    data[key] = value
+            else:
+                pass # deal with bad lines of text here    
+    return data
+
+
+def init_arg():
+    parser = argparse.ArgumentParser()
+    parser.add_argument("--dataset", default="SYNTHETIC")
+    parser.add_argument("-o", default='.')
+    parser.add_argument("--itout", default=5, type=int)
+    return parser.parse_args()
+
+
+##### MAIN SETTING
+
+args = init_arg()
+odir = args.o
+logger = utilmlab.init_logger(odir, 'log_deephit_sum.txt')
+
+OUT_ITERATION               = 5
+OUT_ITERATION               = args.itout
+
+data_mode                   = args.dataset # 'SYNTHETIC' #METABRIC, SYNTHETIC
+seed                        = 1234
+
+EVAL_TIMES                  = [12, 24, 36] # evalution times (for C-index and Brier-Score)
+
+
+##### IMPORT DATASET
+'''
+    num_Category            = max event/censoring time * 1.2 (to make enough time horizon)
+    num_Event               = number of evetns i.e. len(np.unique(label))-1
+    max_length              = maximum number of measurements
+    x_dim                   = data dimension including delta (num_features)
+    mask1, mask2            = used for cause-specific network (FCNet structure)
+'''
+if data_mode == 'SYNTHETIC':
+    (x_dim), (data, time, label), (mask1, mask2) = impt.import_dataset_SYNTHETIC(norm_mode = 'standard')
+    EVAL_TIMES  = [12, 24, 36]
+elif data_mode == 'METABRIC':
+    (x_dim), (data, time, label), (mask1, mask2) = impt.import_dataset_METABRIC(norm_mode = 'standard')
+    EVAL_TIMES  = [144, 288, 432]
+else:
+    print('ERROR:  DATA_MODE NOT FOUND !!!')
+
+_, num_Event, num_Category  = np.shape(mask1)  # dim of mask1: [subj, Num_Event, Num_Category]
+
+
+
+in_path = data_mode + '/results/'
+in_path = odir
+
+if not os.path.exists(in_path):
+    os.makedirs(in_path)
+
+
+FINAL1 = np.zeros([num_Event, len(EVAL_TIMES), OUT_ITERATION])
+FINAL2 = np.zeros([num_Event, len(EVAL_TIMES), OUT_ITERATION])
+
+
+for out_itr in range(OUT_ITERATION):
+    in_hypfile = in_path + '/itr_' + str(out_itr) + '/hyperparameters_log.txt'
+    in_parser = load_logging(in_hypfile)
+
+
+    ##### HYPER-PARAMETERS
+    mb_size                     = in_parser['mb_size']
+
+    iteration                   = in_parser['iteration']
+
+    keep_prob                   = in_parser['keep_prob']
+    lr_train                    = in_parser['lr_train']
+
+    h_dim_shared                = in_parser['h_dim_shared']
+    h_dim_CS                    = in_parser['h_dim_CS']
+    num_layers_shared           = in_parser['num_layers_shared']
+    num_layers_CS               = in_parser['num_layers_CS']
+
+    if in_parser['active_fn'] == 'relu':
+        active_fn                = tf.nn.relu
+    elif in_parser['active_fn'] == 'elu':
+        active_fn                = tf.nn.elu
+    elif in_parser['active_fn'] == 'tanh':
+        active_fn                = tf.nn.tanh
+    else:
+        print('Error!')
+
+
+    initial_W                   = tf.contrib.layers.xavier_initializer()
+
+    alpha                       = in_parser['alpha']  #for log-likelihood loss
+    beta                        = in_parser['beta']  #for ranking loss
+    gamma                       = in_parser['gamma']  #for RNN-prediction loss
+    parameter_name              = 'a' + str('%02.0f' %(10*alpha)) + 'b' + str('%02.0f' %(10*beta)) + 'c' + str('%02.0f' %(10*gamma))
+
+
+    ##### MAKE DICTIONARIES
+    # INPUT DIMENSIONS
+    input_dims                  = { 'x_dim'         : x_dim,
+                                    'num_Event'     : num_Event,
+                                    'num_Category'  : num_Category}
+
+    # NETWORK HYPER-PARMETERS
+    network_settings            = { 'h_dim_shared'         : h_dim_shared,
+                                    'h_dim_CS'          : h_dim_CS,
+                                    'num_layers_shared'    : num_layers_shared,
+                                    'num_layers_CS'    : num_layers_CS,
+                                    'active_fn'      : active_fn,
+                                    'initial_W'         : initial_W }
+
+
+    # for out_itr in range(OUT_ITERATION):
+    print ('ITR: ' + str(out_itr+1) + ' DATA MODE: ' + data_mode + ' (a:' + str(alpha) + ' b:' + str(beta) + ' c:' + str(gamma) + ')' )
+    ##### CREATE DEEPFHT NETWORK
+    tf.reset_default_graph()
+
+    config = tf.ConfigProto()
+    config.gpu_options.allow_growth = True
+    sess = tf.Session(config=config)
+
+    model = Model_DeepHit(sess, "DeepHit", input_dims, network_settings)
+    saver = tf.train.Saver()
+
+    sess.run(tf.global_variables_initializer())
+
+    ### TRAINING-TESTING SPLIT
+    (tr_data,te_data, tr_time,te_time, tr_label,te_label, 
+     tr_mask1,te_mask1, tr_mask2,te_mask2)  = train_test_split(data, time, label, mask1, mask2, test_size=0.20, random_state=seed) 
+
+    (tr_data,va_data, tr_time,va_time, tr_label,va_label, 
+     tr_mask1,va_mask1, tr_mask2,va_mask2)  = train_test_split(tr_data, tr_time, tr_label, tr_mask1, tr_mask2, test_size=0.20, random_state=seed) 
+    
+    ##### PREDICTION & EVALUATION
+    saver.restore(sess, in_path + '/itr_' + str(out_itr) + '/models/model_itr_' + str(out_itr))
+
+    ### PREDICTION
+    pred = model.predict(te_data)
+    
+    ### EVALUATION
+    result1, result2 = np.zeros([num_Event, len(EVAL_TIMES)]), np.zeros([num_Event, len(EVAL_TIMES)])
+
+    for t, t_time in enumerate(EVAL_TIMES):
+        eval_horizon = int(t_time)
+
+        if eval_horizon >= num_Category:
+            print( 'ERROR: evaluation horizon is out of range')
+            result1[:, t] = result2[:, t] = -1
+        else:
+            # calculate F(t | x, Y, t >= t_M) = \sum_{t_M <= \tau < t} P(\tau | x, Y, \tau > t_M)
+            risk = np.sum(pred[:,:,:(eval_horizon+1)], axis=2) #risk score until EVAL_TIMES
+            for k in range(num_Event):
+                # result1[k, t] = c_index(risk[:,k], te_time, (te_label[:,0] == k+1).astype(float), eval_horizon) #-1 for no event (not comparable)
+                # result2[k, t] = brier_score(risk[:,k], te_time, (te_label[:,0] == k+1).astype(float), eval_horizon) #-1 for no event (not comparable)
+                result1[k, t] = weighted_c_index(tr_time, (tr_label[:,0] == k+1).astype(int), risk[:,k], te_time, (te_label[:,0] == k+1).astype(int), eval_horizon) #-1 for no event (not comparable)
+                result2[k, t] = weighted_brier_score(tr_time, (tr_label[:,0] == k+1).astype(int), risk[:,k], te_time, (te_label[:,0] == k+1).astype(int), eval_horizon) #-1 for no event (not comparable)
+
+    FINAL1[:, :, out_itr] = result1
+    FINAL2[:, :, out_itr] = result2
+
+    ### SAVE RESULTS
+    row_header = []
+    for t in range(num_Event):
+        row_header.append('Event_' + str(t+1))
+
+    col_header1 = []
+    col_header2 = []
+    for t in EVAL_TIMES:
+        col_header1.append(str(t) + 'yr c_index')
+        col_header2.append(str(t) + 'yr B_score')
+
+    # c-index result
+    df1 = pd.DataFrame(result1, index = row_header, columns=col_header1)
+    df1.to_csv(in_path + '/result_CINDEX_itr' + str(out_itr) + '.csv')
+
+    # brier-score result
+    df2 = pd.DataFrame(result2, index = row_header, columns=col_header2)
+    df2.to_csv(in_path + '/result_BRIER_itr' + str(out_itr) + '.csv')
+
+    ### PRINT RESULTS
+    print('========================================================')
+    print('ITR: ' + str(out_itr+1) + ' DATA MODE: ' + data_mode + ' (a:' + str(alpha) + ' b:' + str(beta) + ' c:' + str(gamma) + ')' )
+    print('SharedNet Parameters: ' + 'h_dim_shared = '+str(h_dim_shared) + ' num_layers_shared = '+str(num_layers_shared) + 'Non-Linearity: ' + str(active_fn))
+    print('CSNet Parameters: ' + 'h_dim_CS = '+str(h_dim_CS) + ' num_layers_CS = '+str(num_layers_CS) + 'Non-Linearity: ' + str(active_fn)) 
+
+    print('--------------------------------------------------------')
+    print('- C-INDEX: ')
+    print(df1)
+    print('--------------------------------------------------------')
+    print('- BRIER-SCORE: ')
+    print(df2)
+    print('========================================================')
+
+
+    
+### FINAL MEAN/STD
+# c-index result
+df1_mean = pd.DataFrame(np.mean(FINAL1, axis=2), index = row_header, columns=col_header1)
+df1_std  = pd.DataFrame(np.std(FINAL1, axis=2), index = row_header, columns=col_header1)
+df1_mean.to_csv(in_path + '/result_CINDEX_FINAL_MEAN.csv')
+df1_std.to_csv(in_path + '/result_CINDEX_FINAL_STD.csv')
+
+# brier-score result
+df2_mean = pd.DataFrame(np.mean(FINAL2, axis=2), index = row_header, columns=col_header2)
+df2_std  = pd.DataFrame(np.std(FINAL2, axis=2), index = row_header, columns=col_header2)
+df2_mean.to_csv(in_path + '/result_BRIER_FINAL_MEAN.csv')
+df2_std.to_csv(in_path + '/result_BRIER_FINAL_STD.csv')
+
+
+### PRINT RESULTS
+print('========================================================')
+print('- FINAL C-INDEX: ')
+print(df1_mean)
+print('--------------------------------------------------------')
+print('- FINAL BRIER-SCORE: ')
+print(df2_mean)
+print('========================================================')
diff --git a/alg/deephit/test_deephit.py b/alg/deephit/test_deephit.py
new file mode 100644
index 00000000..ec1fc620
--- /dev/null
+++ b/alg/deephit/test_deephit.py
@@ -0,0 +1,100 @@
+'''
+Example/Test script for pategan.
+'''
+import sys
+import os
+import argparse
+import json
+from pathlib import Path
+import initpath_alg
+initpath_alg.init_sys_path()
+import utilmlab
+
+
+def init_arg():
+    parser = argparse.ArgumentParser()
+    parser.add_argument('--exe', help='python interpreter to use')
+    parser.add_argument('--it', default=10000, type=int)
+    parser.add_argument("--itout", type=int)
+    parser.add_argument("--itrs", type=int)
+    parser.add_argument('--projdir')
+    parser.add_argument('-o')
+    return parser.parse_args()
+
+
+if __name__ == '__main__':
+
+    args = init_arg()
+
+    proj_dir = utilmlab.get_proj_dir() \
+        if args.projdir is None else args.projdir
+
+    alg = 'deephit'
+
+    if args.exe is not None:
+        python_exe = args.exe
+    else:
+        python_exe = 'python' if sys.version_info[0] < 3 else 'python3'
+
+    niter = args.it
+    version = 1
+
+    if args.o is None:
+        odir = '{}/result/{}/v_{}/h_{}'.format(
+            proj_dir,
+            alg,
+            version,
+            os.environ['HOSTNAME'] if 'HOSTNAME' in os.environ else 'unknown')
+    else:
+        odir = args.o
+
+    utilmlab.ensure_dir(odir)
+
+    logger = utilmlab.init_logger(odir, 'log_test_{}.txt'.format(alg))
+
+    result_lst = []
+
+    dataset_lst = [
+        {
+            'dataset': 'SYNTHETIC',
+        }
+    ]
+
+    script = Path('{}/alg/deephit/main_RandomSearch.py'.format(proj_dir))
+    script_ana = Path('{}/alg/deephit/summarize_results.py'.format(proj_dir))
+
+    for args_d in dataset_lst:
+        cmd_arg = ' '.join([
+            '--{} {}'.format(el, args_d[el]) for el in args_d.keys()])
+
+        dataset = args_d['dataset']
+        
+        odir = '{}/dataset_{}'.format(
+            odir,
+            dataset)
+
+        utilmlab.ensure_dir(odir)
+
+        utilmlab.exe_cmd(
+            logger,
+            '{} {} {} {} {} {} {}'.format(
+                python_exe,
+                script,
+                cmd_arg,
+                '--it {}'.format(niter),
+                '-o {}'.format(odir),
+                '--itout {}'.format(
+                    args.itout) if args.itout is not None else '',
+                '--itrs {}'.format(
+                    args.itrs) if args.itrs is not None else ''))
+
+        utilmlab.exe_cmd(
+            logger,
+            '{} {} {} {} {}'.format(
+                python_exe,
+                script_ana,
+                cmd_arg,
+                '-o {}'.format(odir),
+                '--itout {}'.format(
+                    args.itout) if args.itout is not None else ''))
+        
diff --git a/alg/deephit/utils_eval.py b/alg/deephit/utils_eval.py
new file mode 100644
index 00000000..02d876b6
--- /dev/null
+++ b/alg/deephit/utils_eval.py
@@ -0,0 +1,142 @@
+'''
+This provide time-dependent Concordance index and Brier Score:
+    - Use weighted_c_index and weighted_brier_score, which are the unbiased estimates.
+    
+See equations and descriptions eq. (11) and (12) of the following paper:
+    - C. Lee, W. R. Zame, A. Alaa, M. van der Schaar, "Temporal Quilting for Survival Analysis", AISTATS 2019
+'''
+
+import numpy as np
+from lifelines import KaplanMeierFitter
+
+
+### C(t)-INDEX CALCULATION
+def c_index(Prediction, Time_survival, Death, Time):
+    '''
+        This is a cause-specific c(t)-index
+        - Prediction      : risk at Time (higher --> more risky)
+        - Time_survival   : survival/censoring time
+        - Death           :
+            > 1: death
+            > 0: censored (including death from other cause)
+        - Time            : time of evaluation (time-horizon when evaluating C-index)
+    '''
+    N = len(Prediction)
+    A = np.zeros((N,N))
+    Q = np.zeros((N,N))
+    N_t = np.zeros((N,N))
+    Num = 0
+    Den = 0
+    for i in range(N):
+        A[i, np.where(Time_survival[i] < Time_survival)] = 1
+        Q[i, np.where(Prediction[i] > Prediction)] = 1
+  
+        if (Time_survival[i]<=Time and Death[i]==1):
+            N_t[i,:] = 1
+
+    Num  = np.sum(((A)*N_t)*Q)
+    Den  = np.sum((A)*N_t)
+
+    if Num == 0 and Den == 0:
+        result = -1 # not able to compute c-index!
+    else:
+        result = float(Num/Den)
+
+    return result
+
+### BRIER-SCORE
+def brier_score(Prediction, Time_survival, Death, Time):
+    N = len(Prediction)
+    y_true = ((Time_survival <= Time) * Death).astype(float)
+
+    return np.mean((Prediction - y_true)**2)
+
+    # result2[k, t] = brier_score_loss(risk[:, k], ((te_time[:,0] <= eval_horizon) * (te_label[:,0] == k+1)).astype(int))
+
+
+##### WEIGHTED C-INDEX & BRIER-SCORE
+def CensoringProb(Y, T):
+
+    T = T.reshape([-1]) # (N,) - np array
+    Y = Y.reshape([-1]) # (N,) - np array
+
+    kmf = KaplanMeierFitter()
+    kmf.fit(T, event_observed=(Y==0).astype(int))  # censoring prob = survival probability of event "censoring"
+    G = np.asarray(kmf.survival_function_.reset_index()).transpose()
+    G[1, G[1, :] == 0] = G[1, G[1, :] != 0][-1]  #fill 0 with ZoH (to prevent nan values)
+    
+    return G
+
+
+### C(t)-INDEX CALCULATION: this account for the weighted average for unbaised estimation
+def weighted_c_index(T_train, Y_train, Prediction, T_test, Y_test, Time):
+    '''
+        This is a cause-specific c(t)-index
+        - Prediction      : risk at Time (higher --> more risky)
+        - Time_survival   : survival/censoring time
+        - Death           :
+            > 1: death
+            > 0: censored (including death from other cause)
+        - Time            : time of evaluation (time-horizon when evaluating C-index)
+    '''
+    G = CensoringProb(Y_train, T_train)
+
+    N = len(Prediction)
+    A = np.zeros((N,N))
+    Q = np.zeros((N,N))
+    N_t = np.zeros((N,N))
+    Num = 0
+    Den = 0
+    for i in range(N):
+        tmp_idx = np.where(G[0,:] >= T_test[i])[0]
+
+        if len(tmp_idx) == 0:
+            W = (1./G[1, -1])**2
+        else:
+            W = (1./G[1, tmp_idx[0]])**2
+
+        A[i, np.where(T_test[i] < T_test)] = 1. * W
+        Q[i, np.where(Prediction[i] > Prediction)] = 1. # give weights
+
+        if (T_test[i]<=Time and Y_test[i]==1):
+            N_t[i,:] = 1.
+
+    Num  = np.sum(((A)*N_t)*Q)
+    Den  = np.sum((A)*N_t)
+
+    if Num == 0 and Den == 0:
+        result = -1 # not able to compute c-index!
+    else:
+        result = float(Num/Den)
+
+    return result
+
+
+# this account for the weighted average for unbaised estimation
+def weighted_brier_score(T_train, Y_train, Prediction, T_test, Y_test, Time):
+    G = CensoringProb(Y_train, T_train)
+    N = len(Prediction)
+
+    W = np.zeros(len(Y_test))
+    Y_tilde = (T_test > Time).astype(float)
+
+    for i in range(N):
+        tmp_idx1 = np.where(G[0,:] >= T_test[i])[0]
+        tmp_idx2 = np.where(G[0,:] >= Time)[0]
+
+        if len(tmp_idx1) == 0:
+            G1 = G[1, -1]
+        else:
+            G1 = G[1, tmp_idx1[0]]
+
+        if len(tmp_idx2) == 0:
+            G2 = G[1, -1]
+        else:
+            G2 = G[1, tmp_idx2[0]]
+        W[i] = (1. - Y_tilde[i])*float(Y_test[i])/G1 + Y_tilde[i]/G2
+
+    y_true = ((T_test <= Time) * Y_test).astype(float)
+
+    return np.mean(W*(y_true - (1.-Prediction))**2)
+
+
diff --git a/alg/deephit/utils_network.py b/alg/deephit/utils_network.py
new file mode 100644
index 00000000..016802c6
--- /dev/null
+++ b/alg/deephit/utils_network.py
@@ -0,0 +1,104 @@
+'''
+First implemented: 01/25/2018
+  > For survival analysis on longitudinal dataset
+By CHANGHEE LEE
+
+Modifcation List:
+	- 08/07/2018: weight regularization for FC_NET is added
+'''
+
+import tensorflow as tf
+import numpy as np
+
+from tensorflow.contrib.layers import fully_connected as FC_Net
+
+
+### CONSTRUCT MULTICELL FOR MULTI-LAYER RNNS
+def create_rnn_cell(num_units, num_layers, keep_prob, RNN_type): 
+    '''
+        GOAL         : create multi-cell (including a single cell) to construct multi-layer RNN
+        num_units    : number of units in each layer
+        num_layers   : number of layers in MulticellRNN
+        keep_prob    : keep probabilty [0, 1]  (if None, dropout is not employed)
+        RNN_type     : either 'LSTM' or 'GRU'
+    '''
+    cells = []
+    for _ in range(num_layers):
+        if RNN_type == 'GRU':
+            cell = tf.contrib.rnn.GRUCell(num_units)
+        elif RNN_type == 'LSTM':
+            cell = tf.contrib.rnn.LSTMCell(num_units)
+        if not keep_prob is None:
+            cell = tf.contrib.rnn.DropoutWrapper(cell, output_keep_prob=keep_prob)
+        cells.append(cell)
+    cell = tf.contrib.rnn.MultiRNNCell(cells)
+    
+    return cell
+
+
+### EXTRACT STATE OUTPUT OF MULTICELL-RNNS
+def create_concat_state(state, num_layers, RNN_type):
+    '''
+        GOAL	     : concatenate the tuple-type tensor (state) into a single tensor
+        state        : input state is a tuple ofo MulticellRNN (i.e. output of MulticellRNN)
+                       consist of only hidden states h for GRU and hidden states c and h for LSTM
+        num_layers   : number of layers in MulticellRNN
+        RNN_type     : either 'LSTM' or 'GRU'
+    '''
+    for i in range(num_layers):
+        if RNN_type == 'LSTM':
+            tmp = state[i][1] ## i-th layer, h state for LSTM
+        elif RNN_type == 'GRU':
+            tmp = state[i] ## i-th layer, h state for GRU
+        else:
+            print('ERROR: WRONG RNN CELL TYPE')
+
+        if i == 0:
+            rnn_state_out = tmp
+        else:
+            rnn_state_out = tf.concat([rnn_state_out, tmp], axis = 1)
+    
+    return rnn_state_out
+
+
+### FEEDFORWARD NETWORK
+def create_FCNet(inputs, num_layers, h_dim, h_fn, o_dim, o_fn, w_init, keep_prob=1.0, w_reg=None):
+    '''
+        GOAL             : Create FC network with different specifications 
+        inputs (tensor)  : input tensor
+        num_layers       : number of layers in FCNet
+        h_dim  (int)     : number of hidden units
+        h_fn             : activation function for hidden layers (default: tf.nn.relu)
+        o_dim  (int)     : number of output units
+        o_fn             : activation function for output layers (defalut: None)
+        w_init           : initialization for weight matrix (defalut: Xavier)
+        keep_prob        : keep probabilty [0, 1]  (if None, dropout is not employed)
+    '''
+    # default active functions (hidden: relu, out: None)
+    if h_fn is None:
+        h_fn = tf.nn.relu
+    if o_fn is None:
+        o_fn = None
+
+    # default initialization functions (weight: Xavier, bias: None)
+    if w_init is None:
+        w_init = tf.contrib.layers.xavier_initializer() # Xavier initialization
+
+    for layer in range(num_layers):
+        if num_layers == 1:
+            out = FC_Net(inputs, o_dim, activation_fn=o_fn, weights_initializer=w_init, weights_regularizer=w_reg)
+        else:
+            if layer == 0:
+                h = FC_Net(inputs, h_dim, activation_fn=h_fn, weights_initializer=w_init, weights_regularizer=w_reg)
+                if not keep_prob is None:
+                    h = tf.nn.dropout(h, keep_prob=keep_prob)
+
+            elif layer > 0 and layer != (num_layers-1): # layer > 0:
+                h = FC_Net(h, h_dim, activation_fn=h_fn, weights_initializer=w_init, weights_regularizer=w_reg)
+                if not keep_prob is None:
+                    h = tf.nn.dropout(h, keep_prob=keep_prob)
+
+            else: # layer == num_layers-1 (the last layer)
+                out = FC_Net(h, o_dim, activation_fn=o_fn, weights_initializer=w_init, weights_regularizer=w_reg)
+
+    return out
\ No newline at end of file
diff --git a/alg/dgp_survival/README.md b/alg/dgp_survival/README.md
new file mode 100644
index 00000000..cede4065
--- /dev/null
+++ b/alg/dgp_survival/README.md
@@ -0,0 +1,19 @@
+## Deep Gaussian Processes for Survival Analysis
+
+Deep Multi-task Gaussian Processes for Survival Analysis with Competing Risks [paper](https://papers.nips.cc/paper/6827-deep-multi-task-gaussian-processes-for-survival-analysis-with-competing-risks.pdf)
+
+To run the "dpg.py" script, use the following commands:
+
+```
+python3 dpg.py -i <csv>  --target <event> --time <event time> [ -z "Prediction horizon" -n "number of epochs" -t "number of iterations" -b "batch size" -lr "learning rate" -c "number of causes" -d "number of hidden dimensions" --n-inducing "number of inducing points" ]
+```
+
+It is recommended to use the default settings.
+
+This sofware uses scikit-survival.
+
+1. Pölsterl, S., Navab, N., and Katouzian, A., Fast Training of Support Vector Machines for Survival Analysis. Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2015, Porto, Portugal, Lecture Notes in Computer Science, vol. 9285, pp. 243-259 (2015)
+
+2. Pölsterl, S., Navab, N., and Katouzian, A., An Efficient Training Algorithm for Kernel Survival Support Vector Machines. 4th Workshop on Machine Learning in Life Sciences, 23 September 2016, Riva del Garda, Italy
+
+3. Pölsterl, S., Gupta, P., Wang, L., Conjeti, S., Katouzian, A., and Navab, N., Heterogeneous ensembles for predicting survival of metastatic, castrate-resistant prostate cancer patients. F1000Research, vol. 5, no. 2676 (2016).
diff --git a/alg/dgp_survival/dgp.py b/alg/dgp_survival/dgp.py
new file mode 100644
index 00000000..db198da6
--- /dev/null
+++ b/alg/dgp_survival/dgp.py
@@ -0,0 +1,116 @@
+from __future__ import absolute_import, division, print_function
+
+import argparse
+import logging
+import numpy as np
+from utils.metrics import evaluate_performance
+from model.DeepGP import DGPSurv
+import pandas as pd
+
+
+def run_experiment(
+        prediction_horizon,
+        n_epochs,
+        n_iters,
+        batch_size,
+        lr,
+        n_causes,
+        layer_dim,
+        n_inducing,
+        fn_csv,
+        event_col_nm,
+        time_col_nm):
+
+    df = pd.read_csv(fn_csv)
+
+    train_size = int(0.7 * len(df))
+
+    train_indexes = np.random.choice(
+        list(range(len(df))),
+        train_size,
+        replace=False)
+    test_indexes = np.array(
+        list(set(list(range(len(df)))) - set(train_indexes)))
+
+    df_train = df.iloc[train_indexes]
+    df_test = df.iloc[test_indexes]
+
+    lbl_T = time_col_nm
+    lbl_c = event_col_nm
+
+    features = list(df.columns)
+    features.remove(lbl_T)
+    features.remove(lbl_c)
+
+    X_train = df_train[features]
+    T_train = df_train[lbl_T]
+    c_train = df_train[lbl_c]
+
+    X_test = df_test[features]
+    T_test = df_test[lbl_T]
+    c_test = df_test[lbl_c]
+
+    print('train: {} {}  {} test: {} {} {}'.format(
+        X_train.shape, T_train.shape, c_train.shape,
+        X_test.shape, T_test.shape, c_test.shape))
+
+    deepgp = DGPSurv(X_train, T_train, c_train, prediction_horizon=prediction_horizon, 
+                     layer_dim=layer_dim, num_inducing=n_inducing, num_causes=n_causes)
+
+    deepgp.train(num_epochs=n_epochs, num_iters=n_iters, batch_size=batch_size, learning_rate=lr)
+
+    y_pred = deepgp.predict_survival(X_test)
+    evaluate_performance(T_train, c_train, T_test, c_test, 1 - y_pred, prediction_horizon, 
+                         num_causes=n_causes)
+
+
+def main(args):
+
+    prediction_horizon = args.horizon
+    n_epochs           = args.n_epochs
+    n_iters            = args.n_iters
+    batch_size         = args.batch_size
+    lr                 = args.lr
+    n_causes           = args.n_causes
+    layer_dim          = args.layer_dim
+    n_inducing         = args.n_inducing
+    fn_csv             = args.i
+    event_nm           = args.target
+    time_nm            = args.time
+
+    run_experiment(
+        prediction_horizon,
+        n_epochs,
+        n_iters,
+        batch_size,
+        lr,
+        n_causes,
+        layer_dim,
+        n_inducing,
+        fn_csv,
+        event_nm,
+        time_nm)
+
+
+if __name__ == '__main__':
+
+    parser = argparse.ArgumentParser(description="Deep Gaussian processes for survival analysis")
+
+    parser.add_argument("-z", "--horizon", default=5*365, type=int, help="event horizon in days")
+    parser.add_argument("-n", "--n-epochs", default=5, type=int)
+    parser.add_argument("-t", "--n-iters", default=100, type=int)
+    parser.add_argument("-b", "--batch-size", default=1000, type=int)
+    parser.add_argument("-lr", "--lr", default=0.01, type=float)
+    parser.add_argument("-c", "--n-causes", default=1, type=int)
+    parser.add_argument("-d", "--layer-dim", default=5, type=int)
+    parser.add_argument("--n-inducing", default=100, type=int)
+    parser.add_argument("-i", help='input data in csv format')
+    parser.add_argument(
+        "--target",
+        help='name of event column when using csv as input')
+    parser.add_argument(
+        "--time",
+        help='name of event time in days when using csv as input')
+    args = parser.parse_args()
+
+    main(args)
diff --git a/alg/dgp_survival/initpath_alg.py b/alg/dgp_survival/initpath_alg.py
new file mode 100644
index 00000000..c6272959
--- /dev/null
+++ b/alg/dgp_survival/initpath_alg.py
@@ -0,0 +1,11 @@
+def init_sys_path():
+    import os
+    import sys
+    depth = 2
+    path = os.path.dirname(os.path.realpath(__file__))
+    for d in range(depth):
+        path = os.path.join(path, os.pardir)
+    proj_dir = os.path.abspath(path)
+    sys.path.append(os.path.join(proj_dir, 'init'))
+    import initpath
+    initpath.platform_init_path(proj_dir)
diff --git a/alg/dgp_survival/model/DeepGP.py b/alg/dgp_survival/model/DeepGP.py
new file mode 100644
index 00000000..f2cd60a7
--- /dev/null
+++ b/alg/dgp_survival/model/DeepGP.py
@@ -0,0 +1,327 @@
+# Copyright (c) 2019, Ahmed M. Alaa
+# Licensed under the BSD 3-clause license (see LICENSE.txt)
+
+from __future__ import absolute_import, division, print_function
+
+import argparse
+import logging
+import numpy as np
+import itertools
+import torch
+
+import pyro
+
+import pandas as pd
+from sklearn.linear_model import LogisticRegression
+from sklearn.preprocessing import StandardScaler
+from copy import deepcopy
+
+from sksurv.metrics import concordance_index_censored, cumulative_dynamic_auc, concordance_index_ipcw
+from sksurv.linear_model import CoxPHSurvivalAnalysis, CoxnetSurvivalAnalysis
+
+from lifelines.utils import concordance_index
+from lifelines import CoxPHFitter, KaplanMeierFitter
+
+from sklearn.metrics import roc_auc_score
+
+import warnings
+warnings.filterwarnings("ignore")
+
+from scipy.cluster.vq import kmeans2
+
+import torch
+import torch.nn as nn
+from torch.distributions.transforms import AffineTransform
+from torchvision import transforms
+
+import pyro
+import pyro.contrib.gp as gp
+import pyro.distributions as dist
+import pyro.infer as infer
+import pyro.infer.mcmc as mcmc
+from pyro.contrib import autoname
+from pyro.contrib.examples.util import get_data_loader
+
+from tqdm import tqdm
+
+pyro.set_rng_seed(0)
+
+
+def output_layer(constant, y):
+    
+    return 1 - 1/(1 + np.exp(-1 * constant * y))
+
+
+
+def sigmoid_calibrate_survival_predictions(model, y_input):
+    
+    min_const       = -100 
+    max_const       = 100 
+    num_contsts     = 10000 
+    
+    range_constants = np.linspace(min_const, max_const, num_contsts) 
+    range_vals      = [np.abs(np.mean(output_layer(constant=const_, y=y_input)) - model.offset_probability) for const_ in range_constants]
+    
+    return range_constants[np.argmin(np.array(range_vals))]
+    
+
+    
+class LinearT(nn.Module):
+    """Linear transform and transpose"""
+    def __init__(self, dim_in, dim_out):
+        
+        super(LinearT, self).__init__()
+        self.linear = nn.Linear(dim_in, dim_out, bias=False)
+
+    def forward(self, x):
+        return self.linear(x).t()
+
+
+class DGPSurv(gp.parameterized.Parameterized):
+    
+    def __init__(self, 
+                 X, 
+                 T,
+                 c,
+                 prediction_horizon,
+                 layer_dim=30, 
+                 num_causes=1,
+                 num_inducing=100,
+                 calibration_fraction=0.5,
+                 calibrate=False
+                ):
+        
+        super(DGPSurv, self).__init__()
+        
+        self.prediction_horizon   = prediction_horizon
+        self.calibrate            = calibrate
+        
+        # Refine inputs
+        inclusion_criteria = (T >= self.prediction_horizon) | (c!=0)
+        X_                 = np.array(X)[inclusion_criteria, :]
+        c_                 = np.array(((np.array(c)[inclusion_criteria]!=0) & (np.array(T)[inclusion_criteria] < self.prediction_horizon)) * np.array(c)[inclusion_criteria]) 
+        
+        # Set all model attributes
+        self.minmax_ = StandardScaler()
+
+        self.X  = torch.tensor(np.array(self.minmax_.fit_transform(X_))).float() 
+        self.T  = torch.tensor(np.array(T).astype(float) / 365).float()
+        self.c  = torch.tensor(np.array(c_).astype(float)).float()
+        
+        self.num_inducing = min(num_inducing, self.X.shape[0])
+        self.num_causes   = num_causes + 1
+        self.num_dim      = self.X.shape[1]
+        
+        self.Xu = torch.from_numpy(kmeans2(self.X.numpy(), self.num_inducing, minit='points')[0])
+
+        # handle erroneous settings for the model's parameters
+        
+        try:
+            
+            self.layer_dim = layer_dim 
+            
+            if self.layer_dim < 2:
+                raise ValueError("Bad inputs: number of intermediate dimensions must be greater than 2.")
+
+        except ValueError as ve:
+            print(ve)
+        
+        # computes the weight for mean function of the first layer using a PCA transformation
+        _, _, V = np.linalg.svd(self.X.numpy(), full_matrices=False)
+        W = torch.from_numpy(V[:self.layer_dim, :])
+
+        mean_fn                    = LinearT(self.num_dim, self.layer_dim)
+        mean_fn.linear.weight.data = W
+        mean_fn.linear.weight.requires_grad_(False)
+        
+        self.mean_fn = mean_fn
+        
+
+        # Initialize the first DGP layer
+        
+        linear         = torch.nn.Linear(self.num_dim, 20)
+        pyro_linear_fn = lambda x: pyro.module("linear", linear)(x)
+        kernel         = gp.kernels.Matern32(input_dim=self.num_dim, lengthscale=torch.tensor(1.))
+        warped_kernel  = gp.kernels.Warping(kernel, pyro_linear_fn)
+            
+        self.layer_0 = gp.models.VariationalSparseGP(self.X, None,  
+                                                     gp.kernels.Matern52(self.num_dim, 
+                                                                    variance=torch.tensor(1.), 
+                                                                    lengthscale=torch.ones(self.num_dim)), 
+                                                     #warped_kernel,
+                                                     Xu=self.Xu,
+                                                     likelihood=None,
+                                                     mean_function=self.mean_fn,
+                                                     latent_shape=torch.Size([self.layer_dim]))
+        
+        h  = self.mean_fn(self.X).t()
+        hu = self.mean_fn(self.Xu).t()
+
+        self.layer_1 = gp.models.VariationalSparseGP(h, 
+                                                     self.c,
+                                                     gp.kernels.Matern52(self.layer_dim, 
+                                                                    variance=torch.tensor(1.), 
+                                                                    lengthscale=torch.tensor(1.)),
+                                                     Xu=hu,
+                                                     likelihood=gp.likelihoods.MultiClass(num_classes=self.num_causes),
+                                                     latent_shape=torch.Size([self.num_causes]))                   
+
+        #self.layer_0.u_scale_tril = self.layer_0.u_scale_tril * 1e-5 
+        #self.layer_0.set_constraint("u_scale_tril", torch.distributions.constraints.lower_cholesky)
+        
+        if self.calibrate:
+    
+            self.kmf                  = KaplanMeierFitter()
+        
+            self.kmf.fit(T, event_observed=c)
+        
+            self.offset_probability   = self.kmf.survival_function_at_times(times=[self.prediction_horizon])._values[0]
+            self.calibration_fraction = calibration_fraction
+            
+        
+    @autoname.name_count
+    def model(self, X, c):
+                                  
+        self.layer_0.set_data(X, None)
+        
+        h_loc, h_var = self.layer_0.model()
+        h            = dist.Normal(h_loc, h_var.sqrt())()
+        
+        self.layer_1.set_data(h.t(), c)
+        self.layer_1.model()
+
+    @autoname.name_count
+    def guide(self, X, c):
+                                  
+        self.layer_0.guide()
+        self.layer_1.guide()
+
+    # make prediction
+    def forward(self, X_new):
+        
+        # because prediction is stochastic (due to Monte Carlo sample of hidden layer),
+        # we make 100 prediction and take the most common one (as in [4])
+        
+        pred           = []
+        num_MC_samples = 100
+        
+        for _ in range(num_MC_samples):
+                                  
+            h_loc, h_var = self.layer_0(X_new)
+            h            = dist.Normal(h_loc, h_var.sqrt())()
+            
+            f_loc, f_var = self.layer_1(h.t())
+
+            pred.append(f_loc) # change for multiclass
+
+        return torch.stack(pred).mode(dim=0)[0]
+    
+    def train(self, num_epochs=5, num_iters=60, batch_size=1000, learning_rate=0.01):
+        
+        optimizer = torch.optim.Adam(self.parameters(), lr=learning_rate)
+        loss_fn   = infer.TraceMeanField_ELBO().differentiable_loss 
+        
+        self.loss = []
+
+        for i in range(num_epochs):
+            
+            self.loss.append(self.train_update(optimizer, loss_fn, batch_size, num_iters, i))
+        
+        
+        self.loss = np.array(self.loss).reshape((-1, 1))
+        
+        
+        if self.calibrate:
+            
+            print("Calibrating the trained model...")
+        
+            calibration_indexes       = np.random.choice(list(range(self.X.shape[0])), int(np.ceil(self.calibration_fraction * self.X.shape[0]))) 
+            y_uncalibrated            = self.predict_survival(self.X[calibration_indexes, :].detach().numpy(), calibrate=1)
+            y_raw                     = np.log((1 - y_uncalibrated) / y_uncalibrated)
+        
+            self.calibration_constant = sigmoid_calibrate_survival_predictions(self, y_raw)
+        
+            print("Done training!")
+            
+        else: 
+            
+            self.calibration_constant = 1
+        
+    def train_update(self, optimizer, loss_fn, batch_size, num_iters, epoch):
+        
+        losses = []
+    
+        for _ in range(num_iters):
+                
+            batch_indexes  = np.random.choice(list(range(self.X.shape[0])), batch_size)
+            
+            features_      = self.X[batch_indexes, :]
+            event_censor   = self.c[batch_indexes]
+
+            features_      = features_.reshape(-1, self.X.shape[1])
+            
+            optimizer.zero_grad()
+        
+            loss = loss_fn(self.model, self.guide, features_, event_censor)
+            
+            losses.append(loss)
+            
+            loss.backward()
+            optimizer.step()
+
+        print("Train Epoch: {:2d} \t[Iteration: {:2d}] \tLoss: {:.6f}".format(epoch, _, loss))
+
+            
+        return losses     
+    
+
+    def predict_survival(self, X_new, calibrate=None):
+        
+        s_preds        = []
+        y_pred         = []
+        
+        index          = 0
+        base_size      = 1000
+        predictor_size = np.min((X_new.shape[0], base_size))
+        num_batches_   = int(np.ceil(X_new.shape[0] / predictor_size))
+        
+        if calibrate==None:
+            
+            calibration_factor = self.calibration_constant
+        
+        else:
+            
+            calibration_factor = calibrate
+            
+        
+        for u in range(num_batches_):
+        
+            if (u == (num_batches_ - 1)) and (np.mod(X_new.shape[0], predictor_size) > 0):
+            
+                X_curr  = np.array(X_new)[index: , :]
+        
+            else:
+            
+                X_curr  = np.array(X_new)[index: index + predictor_size, :]
+    
+            X_new_numpy = self.minmax_.transform(X_curr)
+            X_new_      = torch.tensor(X_new_numpy).float()  
+            
+            f_output    = self(X_new_).detach().numpy()
+            
+            if u == 0:
+                s_preds = f_output
+            else:
+                s_preds = np.hstack((s_preds, f_output))
+              
+            index += predictor_size
+   
+        
+        for v in range(self.num_causes):
+            
+            y_pred.append(output_layer(constant=calibration_factor, y=s_preds[v, :]))
+        
+        
+        y_pred = ((1 - np.array(y_pred)) / np.sum((1 - np.array(y_pred)), axis=0))
+
+        return y_pred
diff --git a/alg/dgp_survival/tutorial_dgp_survival.ipynb b/alg/dgp_survival/tutorial_dgp_survival.ipynb
new file mode 100644
index 00000000..7993d3ad
--- /dev/null
+++ b/alg/dgp_survival/tutorial_dgp_survival.ipynb
@@ -0,0 +1,79 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Example Deep Gaussian Processes for Survival Analysis\n",
+    "\n",
+    "\n",
+    "Deep Multi-task Gaussian Processes for Survival Analysis with Competing Risks [paper](https://papers.nips.cc/paper/6827-deep-multi-task-gaussian-processes-for-survival-analysis-with-competing-risks.pdf)\n",
+    "\n",
+    "This tutorial shows how to use DPG for survival analysis. We are using [The Veterans' Administration Lung Cancer Trial](http://lib.stat.cmu.edu/datasets/veteran) as an example. It is based upon an example from [scikit-survival](https://github.com/sebp/scikit-survival/blob/master/examples/00-introduction.ipynb). \n",
+    "\n",
+    "We need to transform this dataset into a csv file that can be processed by the model: Events needs to be converted to numbers: event 1=1, event 2=2, etc, and event time is in days."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from sksurv.datasets import load_veterans_lung_cancer\n",
+    "from sksurv.preprocessing import OneHotEncoder\n",
+    "import numpy as np\n",
+    "\n",
+    "data_x, data_y = load_veterans_lung_cancer()\n",
+    "\n",
+    "# convert categorical variables into numeric values.\n",
+    "data_x_numeric = OneHotEncoder().fit_transform(data_x)\n",
+    "\n",
+    "df = data_x_numeric\n",
+    "# events needs to be converted to numbers: event 1=1, event 2=2, etc, and event time is in days.\n",
+    "df['Status'] = np.where(data_y['Status'], 1, 0)\n",
+    "df['Survival_in_days'] = data_y['Survival_in_days']\n",
+    "df.to_csv('veterans_lung_cancer.csv', index=False)\n",
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Run DGP and calculate the c-index:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "event_horizon_days = 365*5  # 5 years\n",
+    "!python3 dgp.py -i 'veterans_lung_cancer.csv' --target 'Status' --time 'Survival_in_days' --horizon  {event_horizon_days}"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/alg/dgp_survival/utils/metrics.py b/alg/dgp_survival/utils/metrics.py
new file mode 100644
index 00000000..f03dc7ec
--- /dev/null
+++ b/alg/dgp_survival/utils/metrics.py
@@ -0,0 +1,37 @@
+# Copyright (c) 2019, Ahmed M. Alaa
+# Licensed under the BSD 3-clause license (see LICENSE.txt)
+
+import numpy as np
+
+from sksurv.metrics import cumulative_dynamic_auc, concordance_index_ipcw
+
+from lifelines.utils import concordance_index
+
+
+def evaluate_performance(T_train, c_train, T_test, c_test, prediction, time_horizon, 
+                         num_causes=2, cause_names=["Cause 1", "Cause 2"]):
+
+    Harell_c_index     = []
+    UNO_c_index        = []
+    dynamic_auc        = []
+
+    for _ in range(num_causes):
+
+        y_train = np.array([((c_train.loc[c_train.index[k]]== _ + 1), T_train.loc[T_train.index[k]]) for k in range(len(T_train))], dtype=[('Status', '?'), ('Survival_in_days', '<f8')])
+        y_test  = np.array([((c_test.loc[c_test.index[k]]== _ + 1), T_test.loc[T_test.index[k]]) for k in range(len(T_test))], dtype=[('Status', '?'), ('Survival_in_days', '<f8')])
+
+        Harell_c_index.append(concordance_index(T_test, prediction[_ + 1], event_observed=(c_test==(_+1))*1))
+        tau = max(y_train['Survival_in_days'])
+        ci_tau = concordance_index_ipcw(y_train, y_test, 1 - prediction[_ + 1], tau=tau)[0]
+
+        UNO_c_index.append(ci_tau)
+        try:
+            dynamic_auc_val = cumulative_dynamic_auc(y_train, y_test, 1 - prediction[_ + 1], times=[time_horizon])[0][0]
+        except ValueError:
+            print('*warning: exception while calculating dynamic_auc, dynamic_auc is not calculated*')
+            dynamic_auc_val = "-"
+        dynamic_auc.append(dynamic_auc_val)
+        print("--- Cause: {} -> [C-index: {:0.4f} ] [Dynamic AUC-ROC: {} ]".format(
+            cause_names[_],
+            UNO_c_index[-1],
+            '{:0.4f}'.format(dynamic_auc[-1]) if dynamic_auc[-1] != "-"  else "-"))
diff --git a/alg/dklite/README.md b/alg/dklite/README.md
new file mode 100644
index 00000000..1a5b8129
--- /dev/null
+++ b/alg/dklite/README.md
@@ -0,0 +1,18 @@
+# Learning Overlapping Representations for the Estimation of Individualized Treatment Effects
+
+This is a python implementation of the algorithm in the paper "Learning Overlapping Representations for the Estimation of Individualized Treatment Effects". The goal of this algorithm is to estimate Individualized Treatment Effect (ITE) from observational data.
+
+# Dependencies
+Python 3.6 or later and Tensorflow 1.14
+
+# First steps
+To get started, Tutorial.ipynb will walk you through the key components in DKLITE
+
+# Reference
+The IHDP data is simulated using the NPCI package [1]. The simulation details can be found in [2].
+
+
+[1] V. Dorie. Npci: Non-parametrics for causal inference. URL: https://github.com/vdorie/npci, 2016
+
+[2] Hill, Jennifer L. Bayesian nonparametric modeling for causal inference. Journal of Computational and Graphical Statistics,
+20(1), 2011
diff --git a/alg/dklite/data/ihdp_simulation.pickle b/alg/dklite/data/ihdp_simulation.pickle
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diff --git a/alg/dklite/model.py b/alg/dklite/model.py
new file mode 100644
index 00000000..9babf184
--- /dev/null
+++ b/alg/dklite/model.py
@@ -0,0 +1,393 @@
+import os
+os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'
+import tensorflow as tf
+import warnings
+warnings.filterwarnings("ignore")
+import logging
+logging.getLogger('tensorflow').disabled = True
+
+
+def L_cholesky(x, DD):
+
+    jitter = 1e-15
+
+    L_matrix = tf.cholesky(x + tf.constant(jitter,dtype=tf.float32) *tf.eye(DD, dtype=tf.float32))
+    return L_matrix
+
+
+class DKLITE(object):
+    def __init__(self, input_dim, num_sample, num_sample_u,num_hidden=256, num_layers =2, learning_rate=0.001,
+                 reg_var=50,reg_rec=25,output_dim=1,outcome_type='continuous'):
+
+
+        self.learning_rate = learning_rate
+        self.num_sample_u = num_sample_u
+        self.num_layers = num_layers
+        self.num_sample = num_sample
+        self.output_dim = output_dim
+        self.num_hidden = num_hidden
+        self.input_dim = input_dim
+        self.reg_var = reg_var
+        self.reg_rec = reg_rec
+        self.size_z = input_dim
+        self.ml_primal = {}
+        self.ker_inv = {}
+        self.params = {}
+        self.mean = {}
+        self.beta = {}
+        self.lam = {}
+        self.num = {}
+        self.r = {}
+
+        ''' Initialize parameter weight '''
+        self.params = self.initialize_weights()
+
+        self.mu = tf.reduce_mean(self.T)
+
+        zero_set = tf.where(self.T < 0.5)[:, 0]
+
+        one_set = tf.where(self.T > 0.5)[:, 0]
+
+        self.num['0'] = tf.reduce_sum(1 - self.T)
+        self.num['1'] = tf.reduce_sum(self.T)
+
+        self.Z_train, self.Prob_train_0,self.Prob_train_1  = self.Encoder(self.X)
+
+        self.Z_test, self.Prob_test_0, self.Prob_test_1 = self.Encoder(self.X_u)
+
+        self.Z = tf.concat([self.Z_train, self.Z_test], axis=0)
+
+        X_h = self.Decoder(self.Z)
+
+        #X_h_test = self.Decoder(self.Z_test)
+        #
+
+        self.loss_1 = tf.reduce_mean(tf.reduce_sum(tf.square(tf.concat([self.X,self.X_u],axis=0) - X_h), axis=1))
+
+
+        if outcome_type == 'continuous':
+
+
+            Z_0 = tf.gather(self.Z_train, zero_set)
+            Y_0 = tf.gather(self.Y, zero_set)
+
+            Z_1 = tf.gather(self.Z_train, one_set)
+            Y_1 = tf.gather(self.Y, one_set)
+
+            mean_0 = tf.reduce_mean(Y_0)
+            std_0 = tf.math.reduce_std(Y_0)
+            mean_1 = tf.reduce_mean(Y_1)
+            std_1 = tf.math.reduce_std(Y_1)
+
+            Y_0 = (Y_0-mean_0)/std_0
+            Y_1 = (Y_1 - mean_1) / std_1
+
+
+            self.GP_NN(Y_0, Z_0, 0)
+
+
+            self.GP_NN(Y_1, Z_1,1)
+
+
+
+
+            self.var_0 = tf.reduce_mean(tf.diag_part(tf.matmul(Z_1,tf.matmul(self.ker_inv['0'], tf.transpose(Z_1)))))/self.lam['0']
+
+
+
+            self.var_1 = tf.reduce_mean(tf.diag_part(tf.matmul(Z_0,tf.matmul(self.ker_inv['1'], tf.transpose(Z_0)))))/self.lam['1']
+
+
+            self.ele_var_0_tr = tf.diag_part(tf.matmul(self.Z_train,tf.matmul(self.ker_inv['0'], tf.transpose(self.Z_train))))/self.lam['0']
+            self.ele_var_1_tr = tf.diag_part(tf.matmul(self.Z_train,tf.matmul(self.ker_inv['1'], tf.transpose(self.Z_train))))/self.lam['1']
+
+            self.ele_var_0_te = tf.diag_part(tf.matmul(self.Z_test,tf.matmul(self.ker_inv['0'], tf.transpose(self.Z_test))))/self.lam['0']
+            self.ele_var_1_te = tf.diag_part(tf.matmul(self.Z_test,tf.matmul(self.ker_inv['1'], tf.transpose(self.Z_test))))/self.lam['1']
+
+
+            pred_tr_0 = tf.matmul(self.Z_train, self.mean['0'])*std_0 + mean_0
+            pred_tr_1 = tf.matmul(self.Z_train, self.mean['1'])*std_1 + mean_1
+            pred_te_0 = tf.matmul(self.Z_test, self.mean['0'])*std_0 + mean_0
+            pred_te_1 = tf.matmul(self.Z_test, self.mean['1'])*std_1 + mean_1
+
+
+            self.Y_train = tf.concat([pred_tr_0,pred_tr_1],axis=1)
+
+            self.Y_test = tf.concat([pred_te_0,pred_te_1],axis=1)
+
+
+            self.prediction_loss = self.ml_primal['0']+ self.ml_primal['1']+ self.reg_var *(self.var_0 + self.var_1)+ self.reg_rec * self.loss_1
+
+
+
+        elif outcome_type == 'binary':
+
+
+            Y_0 = tf.gather(self.Y, zero_set)
+            self.Prob_train_0_f = tf.gather(self.Prob_train_0, zero_set)
+            self.Prob_train_0_cf = tf.gather(self.Prob_train_0, one_set)
+
+
+            Y_1 = tf.gather(self.Y, one_set)
+            self.Prob_train_1_f = tf.gather(self.Prob_train_1, one_set)
+            self.Prob_train_1_cf = tf.gather(self.Prob_train_1, zero_set)
+
+
+
+
+            self.binary_loss_0 = -tf.reduce_mean(Y_0 * tf.log(self.Prob_train_0_f+1e-20) +(1-Y_0) * tf.log(1-self.Prob_train_0_f+1e-20))
+            self.binary_loss_1 = -tf.reduce_mean(Y_1 * tf.log(self.Prob_train_1_f+1e-20) +(1-Y_1) * tf.log(1-self.Prob_train_1_f+1e-20))
+
+
+
+            self.entropy_0 = tf.reduce_mean(self.Prob_train_0_cf*tf.log(self.Prob_train_0_cf) + (1-self.Prob_train_0_cf)*tf.log(1-self.Prob_train_0_cf))
+            self.entropy_1 = tf.reduce_mean(self.Prob_train_1_cf*tf.log(self.Prob_train_1_cf) + (1-self.Prob_train_1_cf)*tf.log(1-self.Prob_train_1_cf))
+            self.entropy_test = tf.reduce_mean(self.Prob_test_0*tf.log(self.Prob_test_0) + (1-self.Prob_test_0)*tf.log(1-self.Prob_test_0)) \
+                             + tf.reduce_mean(self.Prob_test_1*tf.log(self.Prob_test_1) + (1-self.Prob_test_1)*tf.log(1-self.Prob_test_1))
+
+
+            self.Y_train_0 = tf.cast(self.Prob_train_0>0.5,dtype=tf.float32)
+            self.Y_train_1 = tf.cast(self.Prob_train_1>0.5,dtype=tf.float32)
+            self.Y_test_0 = tf.cast(self.Prob_test_0>0.5,dtype=tf.float32)
+            self.Y_test_1 = tf.cast(self.Prob_test_1>0.5,dtype=tf.float32)
+
+            self.Y_train = tf.concat([self.Y_train_0,self.Y_train_1],axis=1)
+            self.Y_test = tf.concat([self.Y_test_0,self.Y_test_1], axis=1)
+
+
+            #self.entropy_0 + self.entropy_1+
+            self.prediction_loss = self.binary_loss_0 + self.binary_loss_1 + self.reg_var *(self.entropy_0+self.entropy_1+self.entropy_test)+ self.reg_rec * self.loss_1
+
+
+
+        else:
+
+            raise AssertionError('Error: wrong outcome type')
+
+
+
+        self.optimizer = tf.train.AdamOptimizer(learning_rate=self.learning_rate).minimize(self.prediction_loss)
+
+
+        self.sess = tf.Session()
+        self.sess.run(tf.global_variables_initializer())
+
+
+
+    def element_var(self, X, Y, T, X_u):
+
+        var_0_tr, var_1_tr,var_0_te, var_1_te = self.sess.run([self.ele_var_0_tr,self.ele_var_1_tr,self.ele_var_0_te,self.ele_var_1_te],
+                feed_dict={self.X: X, self.X_u: X_u, self.Y: Y, self.T: T})
+
+
+        return var_0_tr,var_1_tr,var_0_te,var_1_te
+
+
+
+
+
+    def embed(self, X, Y, T, X_u):
+
+        Z= self.sess.run(self.Z_train, feed_dict={self.X: X, self.X_u: X_u, self.Y: Y, self.T: T})
+
+        return Z
+
+
+
+
+    def fit(self, X, Y, T, X_u, num_iteration):
+
+
+        for i in range(num_iteration):
+
+            self.sess.run(self.optimizer, feed_dict={self.X: X, self.X_u: X_u, self.Y: Y, self.T: T})
+
+
+    def pred(self, X, Y, T, X_u):
+
+
+        Y_hat_train, Y_hat_test = self.sess.run([self.Y_train, self.Y_test], feed_dict={self.X: X, self.X_u: X_u, self.Y: Y, self.T: T})
+
+
+        return Y_hat_train, Y_hat_test
+
+
+
+
+    def destroy_graph(self):
+        tf.reset_default_graph()
+
+
+
+
+
+
+    def Encoder(self, X):
+
+        X_h = tf.nn.tanh(tf.matmul(X, self.params['e_w_in']) + self.params['e_b_in'])
+
+        for layer_i in range( self.num_layers):
+            X_h = tf.nn.tanh(tf.matmul(X_h, self.params['e_w_' + str(layer_i)])+self.params['e_b_' + str(layer_i)])
+
+        Z =  tf.nn.tanh(tf.matmul(X_h, self.params['e_w_' + str(self.num_layers)]) + self.params['e_b_' + str(self.num_layers)])
+
+        Prob_0 = tf.nn.sigmoid(tf.matmul(Z, self.params['e_w_out_0']) + self.params['e_b_out_0'])
+
+        Prob_1 = tf.nn.sigmoid(tf.matmul(Z, self.params['e_w_out_1']) + self.params['e_b_out_1'])
+
+        return Z, Prob_0, Prob_1
+
+
+
+
+    def Decoder(self,Z):
+
+        Z_pred = tf.nn.tanh(tf.matmul(Z, self.params['d_w_in']) + self.params['d_b_in'])
+
+        for layer_i in range(self.num_layers):
+            Z_pred = tf.nn.tanh(tf.matmul(Z_pred, self.params['d_w_' + str(layer_i)]) + self.params['d_b_' + str(layer_i)])
+
+        X_p = tf.matmul(Z_pred, self.params['d_w_' + str(self.num_layers)]) + self.params['d_b_' + str(self.num_layers)]
+
+        return X_p
+
+
+
+
+
+
+    def GP_NN(self, Y_f, Z_f,index):
+
+        self.beta[str(index)] = tf.nn.softplus(self.params['beta_' + str(index)])
+
+        self.lam[str(index)] = tf.nn.softplus(self.params['lambda_' + str(index)])
+
+        self.r[str(index)] = self.beta[str(index)] / self.lam[str(index)]
+
+        self.DD = tf.shape(Z_f)[1]
+
+
+        phi_phi = self.r[str(index)] * tf.matmul(tf.transpose(Z_f), Z_f)
+
+        Ker = phi_phi + tf.eye(self.DD, dtype=tf.float32)
+
+        L_matrix = L_cholesky(Ker, self.DD)
+
+        L_inv_reduce = tf.linalg.triangular_solve(L_matrix, rhs=tf.eye(self.DD, dtype=tf.float32))
+
+        L_y = tf.matmul(L_inv_reduce, tf.matmul(tf.transpose(Z_f), Y_f))
+
+        term1 = tf.constant(0.5, dtype=tf.float32) * self.beta[str(index)] * (tf.reduce_sum(tf.square(Y_f)) - self.r[str(index)] * tf.reduce_sum(tf.square(L_y)))
+
+        term2 = tf.reduce_sum(tf.log(tf.linalg.diag_part(L_matrix)))
+
+        term3 = -tf.constant(0.5, dtype=tf.float32) * tf.cast(self.num[str(index)], dtype=tf.float32) * tf.log(self.beta[str(index)])
+
+        self.ml_primal[str(index)] = (term1+ term2+ term3)/tf.cast(self.num[str(index)], dtype=tf.float32)
+
+        self.ker_inv[str(index)] = tf.matmul(tf.transpose(L_inv_reduce), L_inv_reduce)
+
+        self.mean[str(index)] = self.r[str(index)] * tf.matmul(tf.transpose(L_inv_reduce), L_y)
+
+
+
+    def initialize_weights(self):
+
+
+        self.X = tf.placeholder(tf.float32, [None, self.input_dim])
+
+        self.X_u = tf.placeholder(tf.float32, [None, self.input_dim])
+
+        self.Y = tf.placeholder(tf.float32, [None, 1])
+
+        self.T = tf.placeholder(tf.float32, [None, 1])
+
+
+
+        all_weights = {}
+
+        name_beta = 'beta_0'
+        all_weights[name_beta] = tf.Variable(0.00001*tf.ones([1,1],tf.float32),
+                                             name = name_beta, trainable=True)
+
+        name_lambda = 'lambda_0'
+        all_weights[name_lambda] = tf.Variable(0.00001*tf.ones([1,1],tf.float32),
+                                             name = name_lambda, trainable=True)
+
+        name_beta = 'beta_1'
+        all_weights[name_beta] = tf.Variable(0.00001*tf.ones([1,1],tf.float32),
+                                             name = name_beta, trainable=True)
+
+        name_lambda = 'lambda_1'
+        all_weights[name_lambda] = tf.Variable(0.00001*tf.ones([1,1],tf.float32),
+                                             name = name_lambda, trainable=True)
+
+
+
+        ''' Input layer of the encoder '''
+        name_wi = 'e_w_in'
+        all_weights[name_wi] = tf.get_variable(name=name_wi, shape=[self.input_dim, self.num_hidden], trainable=True)
+        name_bi = 'e_b_in'
+        all_weights[name_bi] = tf.get_variable(name=name_bi, shape=[self.num_hidden], trainable=True)
+
+
+        ''' Hidden layer of the encoder '''
+        for layer_i in range(self.num_layers):
+
+            name_wi = 'e_w_' + str(layer_i)
+            all_weights[name_wi ] = tf.get_variable(name =name_wi,  shape=[self.num_hidden,self.num_hidden],  trainable=True)
+
+            name_bi = 'e_b_' + str(layer_i)
+            all_weights[name_bi] = tf.get_variable(name =name_bi, shape = [self.num_hidden], trainable=True)
+
+        ''' Final layer of the encoder '''
+        name_wi = 'e_w_' + str(self.num_layers)
+        all_weights[name_wi] = tf.get_variable(name=name_wi, shape=[self.num_hidden, self.size_z], trainable=True)
+
+        name_bi = 'e_b_' + str(self.num_layers)
+        all_weights[name_bi] = tf.get_variable(name=name_bi, shape=[self.size_z], trainable=True)
+
+
+        name_wi = 'e_w_out_0'
+        all_weights[name_wi] = tf.get_variable(name=name_wi, shape=[self.size_z, self.output_dim], trainable=True)
+
+        name_bi = 'e_b_out_0'
+        all_weights[name_bi] = tf.get_variable(name=name_bi, shape=[self.output_dim], trainable=True)
+
+        name_wi = 'e_w_out_1'
+        all_weights[name_wi] = tf.get_variable(name=name_wi, shape=[self.size_z, self.output_dim], trainable=True)
+
+        name_bi = 'e_b_out_1'
+        all_weights[name_bi] = tf.get_variable(name=name_bi, shape=[self.output_dim], trainable=True)
+
+
+
+        ''' Input layer of the decoder '''
+        name_wi = 'd_w_in'
+        all_weights[name_wi] = tf.get_variable(name=name_wi, shape=[self.size_z, self.num_hidden],trainable=True)
+
+        name_bi = 'd_b_in'
+        all_weights[name_bi] = tf.get_variable(name=name_bi, shape=[self.num_hidden],trainable=True)
+
+
+        ''' Hidden layer of the decoder '''
+        for layer_i in range(self.num_layers):
+
+
+            name_wi = 'd_w_' + str(layer_i)
+            all_weights[name_wi ] = tf.get_variable(name =name_wi,  shape=[self.num_hidden,self.num_hidden],trainable=True)
+
+            name_bi = 'd_b_' + str(layer_i)
+            all_weights[name_bi] = tf.get_variable(name =name_bi, shape = [self.num_hidden],trainable=True)
+
+
+
+        ''' Final layer of the decoder '''
+        name_wi = 'd_w_' + str(self.num_layers)
+        all_weights[name_wi] = tf.get_variable(name=name_wi, shape=[self.num_hidden, self.input_dim],trainable=True)
+
+        name_bi = 'd_b_' + str(self.num_layers)
+        all_weights[name_bi] = tf.get_variable(name=name_bi, shape=[(self.input_dim)],trainable=True)
+
+
+        return all_weights
\ No newline at end of file
diff --git a/alg/dklite/tutorial_dklite.ipynb b/alg/dklite/tutorial_dklite.ipynb
new file mode 100644
index 00000000..36b90bee
--- /dev/null
+++ b/alg/dklite/tutorial_dklite.ipynb
@@ -0,0 +1,158 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Learning Overlapping Representations for the Estimation of Individualized Treatment Effects (AISTATS 2020)\n",
+    "\n",
+    "In this notebook, we show how to use DKLITE to estimate Individualized Treatment Effect (ITE) on an IHDP simulation. In the experiment, we demonstrate DKLITE can learn a smooth data representation via variance minimization, and leverage the predicted variance to improve prediction performance.\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from model import DKLITE\n",
+    "from utils_ import *\n",
+    "import pickle\n",
+    "\n",
+    "\n",
+    "''' Import a simluated IHDP data '''\n",
+    "X_train, Y_train, W_train, X_test, T_true_train, T_true_test =  pickle.load(open('data/ihdp_simulation.pickle', 'rb'))\n",
+    "\n",
+    "''' Compute the sample size of training and testing set '''\n",
+    "N_train,input_dim = np.shape(X_train)\n",
+    "N_test = np.shape(X_test)[0]\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Train DKLITE on the IHDP data and report the square root of PEHE"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\n",
+    "''' Model Training'''\n",
+    "model = DKLITE(input_dim=input_dim, num_sample=N_train, num_sample_u=N_test,num_hidden=50, outcome_type='continuous')\n",
+    "\n",
+    "model.fit(X_train, Y_train, W_train, X_test, 10000)\n",
+    "\n",
+    "\n",
+    "''' Predict the treated and control outcomes'''\n",
+    "Y_hat_train, Y_hat_test = model.pred(X_train, Y_train, W_train, X_test)\n",
+    "\n",
+    "\n",
+    "''' Compute the square root of PEHE'''\n",
+    "r_PEHE_train = compute_PEHE(Y_hat_train[:,1]-Y_hat_train[:,0],T_true_train)\n",
+    "\n",
+    "r_PEHE_test = compute_PEHE(Y_hat_test[:,1]-Y_hat_test[:,0], T_true_test)\n",
+    "\n",
+    "\n",
+    "\n",
+    "print('r-PEHE_train:', r_PEHE_train, 'r-PEHE_test:', r_PEHE_test)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Now we use T-SNE to compare compare the the raw data with the represented data via the feature map in DKLITE. We first show the embedded control and treated group, in purple and yellow, respectively. Then we show the heatmap w.r.t the predictive control outcomes."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "''' Visualize the T-SNE embedding of the raw data'''\n",
+    "plot_tnse_embedding(X_train, Y_train, W_train)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Now we demonstrate the predictive variance can improve the model performance by removing uncertain predictions. We remove the data points one by one according to their predictive variances from the largest to the smallest. As a comparison, we show the PEHE obtained by removing data according to true estimation error from the largest to the smallest. We demonstrate the predictive variance of DKLITE can improve model performance by removing the top 10% most uncertain prediction."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "''' Compute the data representation'''\n",
+    "Z_embedding = model.embed(X_train, Y_train, W_train, X_test)\n",
+    "\n",
+    "''' Visualize the T-SNE embedding of the data representation'''\n",
+    "plot_tnse_embedding(Z_embedding, Y_hat_train, W_train)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\n",
+    "\n",
+    "''' Compute the predictive variance of each input data '''\n",
+    "var_0_tr,var_1_tr,var_0_te,var_1_te = model.element_var(X_train, Y_train, W_train, X_test)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "error_ground_true, error_variance  = remove_uncertain_data(var_0_tr, var_1_tr, T_true_train, Y_hat_train)\n",
+    "\n",
+    "print('Error after removing data w.r.t predictive variance:',error_variance)\n",
+    "\n",
+    "print('Error after removing data w.r.t ground true error:',error_ground_true)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.10"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/alg/dklite/utils_.py b/alg/dklite/utils_.py
new file mode 100644
index 00000000..b89a517e
--- /dev/null
+++ b/alg/dklite/utils_.py
@@ -0,0 +1,109 @@
+from operator import itemgetter
+
+import matplotlib
+from matplotlib import cm as CM
+
+matplotlib.rcParams.update({'font.size': 16.5})
+import seaborn as sns
+sns.set_context(rc={"lines.linewidth": 3.00})
+import numpy as np
+from sklearn.manifold import TSNE
+import matplotlib.pyplot as plt
+from scipy.special import expit
+
+
+
+
+
+def compute_PEHE(T_true, T_est):
+
+    return np.sqrt(np.mean((T_true.reshape((-1, 1)) - T_est.reshape((-1, 1))) ** 2))
+
+
+def compute_PEHE_removal(T_true, T_est, index):
+
+
+    T_true1 = np.array(T_true)[[index]]
+    T_est1 = np.array(T_est)[[index]]
+
+    return np.sqrt(np.mean((T_true1.reshape((-1, 1)) - T_est1.reshape((-1, 1))) ** 2))
+
+
+
+
+def plot_tnse_embedding(X,Y,W):
+
+
+    W = np.squeeze(W)
+    tsne = TSNE(n_components=2, random_state=0)
+    tsne_embedding = tsne.fit_transform(X)
+
+
+    plt.figure(figsize=[6.5, 6])
+    plt.scatter(tsne_embedding[:, 0], tsne_embedding[:, 1], c=W, alpha=0.5)
+    plt.xlabel('Dim 1')
+    plt.ylabel('Dim 2')
+    plt.yticks([])
+    plt.xticks([])
+
+
+    plt.show()
+
+
+
+    plt.figure(figsize=[8, 6])
+    plt.scatter(tsne_embedding[:, 0], tsne_embedding[:, 1], c= Y[:,0], alpha=0.6, cmap=CM.jet)
+    cb = plt.colorbar()
+    plt.xlabel('Dim 1')
+    plt.ylabel('Dim 2')
+    plt.yticks([])
+    plt.xticks([])
+
+    plt.show()
+
+
+def remove_uncertain_data(var_0_tr, var_1_tr, T_true_train, Y_hat_train):
+
+
+    var_train = np.swapaxes(var_1_tr + var_0_tr, 0, 1)
+
+    residual = np.square(T_true_train.reshape((-1, 1)) - (Y_hat_train[:, 1] - Y_hat_train[:, 0]).reshape((-1, 1)))
+
+    mean_rmse1, mean_rmse2, indices, indices2, sorted_var = two_error(np.squeeze(residual), np.squeeze(var_train))
+
+    fraction = int(0.1*np.shape(mean_rmse1)[0])
+
+    return mean_rmse1[fraction], mean_rmse2[fraction]
+
+
+def two_error(residual, test_var):
+
+
+    indices, L_sorted = zip(*sorted(enumerate(residual), key=itemgetter(1)))
+    residual_order = list(L_sorted)
+
+    mean_rmse1 = []
+    for i in range(len(residual_order)):
+        alpha = residual_order[: len(residual_order) - i]
+        mean_rmse1.append(np.sqrt(np.mean(alpha)))
+
+    indices2, L_sorted = zip(*sorted(enumerate(test_var), key=itemgetter(1)))
+    residual_2 = [residual[i] for i in indices2]
+
+    mean_rmse2 = []
+    for i in range(len(residual_2)):
+        alpha = residual_2[: len(residual_2) - i]
+        mean_rmse2.append(np.sqrt(np.mean(alpha)))
+
+
+    return mean_rmse1, mean_rmse2, indices, indices2, L_sorted
+
+
+def index_select(test_var, percentage):
+
+    indices2, L_sorted = zip(*sorted(enumerate(test_var), key=itemgetter(1)))
+
+    return indices2[: len(test_var) - int(percentage*len(test_var))]
+
+
+
diff --git a/alg/dpbag/DPBag_Final.py b/alg/dpbag/DPBag_Final.py
new file mode 100644
index 00000000..0fe81529
--- /dev/null
+++ b/alg/dpbag/DPBag_Final.py
@@ -0,0 +1,227 @@
+'''
+2019 NeurIPS Submission
+Title: Differentially Private Bagging: Improved utility and cheaper privacy than subsample-and-aggregate
+Authors: James Jordon, Jinsung Yoon, Mihaela van der Schaar
+
+Last Updated Date: May 29th 2019
+Code Author: Jinsung Yoon (jsyoon0823@gmail.com)
+
+-----------------------------
+
+DPBAG Function
+- Use train and valid datasets to make Differentially Private Classification Model
+- Use test set to measure the performances
+
+Inputs
+- train, valid, test sets
+- Parameters (epsilon, delta, teacher_no, part number)
+
+Outputs
+- AUROC
+- AUPRC
+- Accuracy
+- Budget
+- Differentially Private Classification Model
+'''
+
+#%% Necessary Packages
+import numpy as np
+from sklearn.metrics import accuracy_score, roc_auc_score, average_precision_score
+from sklearn.linear_model import LogisticRegression
+
+#%% Function start
+
+def DPBag (x_train, y_train, x_valid, x_test, y_test, parameters):      
+  
+    # Parameters
+    No = len(x_train[:,0])
+                    
+    epsilon    = parameters['epsilon']
+    delta      = parameters['delta'] 
+    lamda      = parameters['lamda'] 
+    teacher_no = parameters['teacher_no'] 
+    part_no    = parameters['part_no']
+    
+    L = 80
+    # Initialize alpha
+    alpha = [[0 for i in range(No)] for j in range(L)]
+        
+    #%% Partition the data (Divide data into multiple partitions)
+
+    # Initialize partitions
+    Part_X = list()
+    Part_Y = list()
+    
+    # Save the partition number and teacher number for each sample
+    Part_Save = np.zeros([No, part_no, teacher_no])
+    
+    # For each partition
+    for p in range(part_no):
+          
+        Data_X = list()
+        Data_Y = list()
+        
+        # Divide them into multiple disjoint sets (# of teachers)
+        idx = np.random.permutation(No)
+        
+        for i in range(teacher_no):
+            
+            # Index of samples in each disjoint set
+            start_idx = i * int(No/teacher_no)
+            end_idx = (i+1) * int(No/teacher_no)
+            temp_idx = idx[start_idx:end_idx]
+            
+            # Divide the data
+            Data_X.append(x_train[temp_idx,:])
+            Data_Y.append(y_train[temp_idx])
+            
+            # Save the teacher number and partition number
+            Part_Save[temp_idx,p,i] = 1
+        
+        # Save each partition
+        Part_X.append(Data_X)
+        Part_Y.append(Data_Y)
+        
+    #%% Teacher Training    
+        
+    # Initialize teacher models
+    teacher_models = list()
+    
+    # For each partition
+    for p_idx in (range(part_no)):
+        
+        # Initialize teacher models for each partition
+        part_models = list()
+      
+        # For each teacher
+        for t_idx in (range(teacher_no)):
+              
+            # Load data for each teacher in each partition
+            x_temp = Part_X[p_idx][t_idx]
+            y_temp = Part_Y[p_idx][t_idx]
+            
+            # Train the teacher model
+            model = LogisticRegression()
+            model.fit(x_temp, y_temp)
+            
+            # Save the teacher model
+            part_models.append(model)
+                
+        # Save the teacher model in each partition
+        teacher_models.append(part_models)
+            
+    #%% Student Training
+    
+    # Initialize some parameters
+    # Tracking current epsilon
+    epsilon_hat = 0
+    # No of Privacy budget
+    mb_idx = 0
+    
+    # Set the public data
+    x_mb = x_valid[:No,:]
+    
+    # r_s initialize
+    r_mb = np.zeros([No,1])
+    
+    # Output Initialization (Accuracy, AUROC, AUPRC, Privacy Budget, DP Classification Model)
+    Output_ACC = list()
+    Output_AUC = list()
+    Output_APR = list()
+    Output_Budget = list()
+    Output_Model = list()
+
+    #%% Get all the n_c, n_c(x), and m(x) to speed up the algorithm
+    
+    # Tx_all (T_i,j(x)) Initialization
+    Tx_all = np.zeros([part_no, teacher_no, No])
+               
+    # Outputs of all teachers for public data
+    for p_idx in range(part_no):
+            
+        for t_idx in range(teacher_no):
+                  
+            teacher_pred_result_temp = teacher_models[p_idx][t_idx].predict_proba(x_mb)[:,1]          
+                    
+            # Save them to the T_i,j(x)
+            Tx_all[p_idx, t_idx, :] = np.reshape(1*(teacher_pred_result_temp>0.5), [-1])
+    
+    ## Compute nc_all (n_c)
+    nc_all = np.zeros([No,2])
+    
+    nc_all[:,0] = np.sum(1-Tx_all, axis = (0,1)) / part_no
+    nc_all[:,1] = np.sum(Tx_all, axis = (0,1)) / part_no
+    
+    # Compute ncx_all (n_c(x))
+    ncx_all = np.zeros([No, No, 2])    
+      
+    ncx_all[:,:,1] = np.einsum('npt,ptc -> nc', Part_Save, Tx_all) / part_no
+    ncx_all[:,:,0] = 1 - ncx_all[:,:,1]
+    
+    # Compute m(x) 
+    mx_all = np.max(ncx_all, axis = 2)
+
+    #%% Get access to the data until the epsilon is less than the threshold
+    
+    while ((epsilon_hat < epsilon) & (mb_idx < No)): 
+              
+        # PATE_lambda (x)
+        r_mb[mb_idx,0] = np.argmax([nc_all[mb_idx,0] + np.random.laplace(scale=1/lamda), nc_all[mb_idx,1] + np.random.laplace(scale=1/lamda)])    
+      
+        # Compute alpha    
+        for l_idx in range(L):
+                  
+            first_term  = (2 * ( (lamda*mx_all[:,mb_idx])**2 ) * (l_idx + 1) * (l_idx + 2)) 
+              
+            alpha[l_idx] = alpha[l_idx] + first_term
+        
+        # compute epsilon hat       
+        min_list = list()
+        
+        for l_idx in range(L):
+          
+            temp_min_list = (np.max(alpha[l_idx]) + np.log(1/delta)) / (l_idx+1)        
+            min_list.append(temp_min_list)
+                 
+        #%% If epsilon is 1,2,...,10
+               
+        if (int(epsilon_hat) < int(np.min(min_list))):
+        
+        #%% Student Training
+      
+            # Use entire data until int(epsilon_hat) < int(np.min(min_list))
+            s_x_train = x_mb[:mb_idx,:]
+            s_y_train = r_mb[:mb_idx,:]
+                            
+            # Train the DP classification model
+            model = LogisticRegression()
+            model.fit(s_x_train, s_y_train)
+            
+         #%% Evaluations
+            student_y_final = model.predict_proba(x_test)[:,1]
+            
+            student_pred_result = roc_auc_score (y_test, student_y_final)  
+            
+            print('Student AUC: ' +str(np.round(student_pred_result,4)) + ', Epsilon: ' + str(np.round(epsilon_hat)))
+            
+            Output_AUC.append(np.round(roc_auc_score (y_test, student_y_final),4))
+            Output_APR.append(np.round(average_precision_score (y_test, student_y_final),4))
+            Output_ACC.append(np.round(accuracy_score(y_test, student_y_final > 0.5),4))
+            Output_Budget.append(mb_idx+1)
+            Output_Model.append(model)
+            
+        #%% Epsilon, mb_update Update
+        
+        epsilon_hat = np.min(min_list)
+        
+        # The number of accessed samples
+        mb_idx = mb_idx + 1
+        
+        # Print current state (per 1000 accessed samples)
+        if (mb_idx % 1000 == 0):            
+            print('step: ' + str(mb_idx) + ', epsilon hat: ' + str(epsilon_hat))        
+  
+    # Return Accuracy, AUROC, AUPRC, Privacy Budget, and DP Classification Model
+    return Output_ACC, Output_AUC, Output_APR, Output_Budget, Output_Model
+        
+        
\ No newline at end of file
diff --git a/alg/dpbag/DPBag_Tutorial.ipynb b/alg/dpbag/DPBag_Tutorial.ipynb
new file mode 100644
index 00000000..12073369
--- /dev/null
+++ b/alg/dpbag/DPBag_Tutorial.ipynb
@@ -0,0 +1,203 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Tutorial DPBag\n",
+    "\n",
+    "## Differentially Private Bagging: Improved utility and cheaper privacy than subsample-and-aggregate"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "This tutorial shows how to use DPBag to achieve differentially private classification model. We are using the well known UCI adult dataset as an example."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Experiment Settings (Import necessary packages and functions)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#%% Necessary Packages\n",
+    "import numpy as np\n",
+    "from tqdm import tqdm\n",
+    "import pandas as pd\n",
+    "\n",
+    "#%% Functions\n",
+    "from DPBag_Final import DPBag\n",
+    "\n",
+    "# 1. Models\n",
+    "from data_loading import Data_Loading_Adult\n",
+    "\n",
+    "print('Finish importing necessary packages and functions')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Set parameters"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#%% Parameters\n",
+    "\n",
+    "# Select dataset\n",
+    "data_name = 'adult'\n",
+    "\n",
+    "# Number of iterations\n",
+    "Iterations = 2\n",
+    "\n",
+    "# Algorithm parameters\n",
+    "parameters = dict()\n",
+    "\n",
+    "parameters['epsilon'] = 5\n",
+    "parameters['delta'] = 1e-3\n",
+    "parameters['teacher_no'] = 50\n",
+    "parameters['lamda'] = float(2)/parameters['teacher_no']\n",
+    "parameters['part_no'] = 10\n",
+    "\n",
+    "print(data_name + ' dataset is selected')\n",
+    "print('parameters are ' + str(parameters))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Output Initialization"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Output initialization\n",
+    "Output_AUC = list()\n",
+    "Output_APR = list()\n",
+    "Output_ACC = list()\n",
+    "Output_Budget = list()\n",
+    "Output_Model = list()\n",
+    "\n",
+    "print('Finish Output Initialization')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Run DPBag algorithm"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\n",
+    "for itr in tqdm(range(Iterations)):\n",
+    "    \n",
+    "    # Load Data\n",
+    "    x_train, y_train, x_valid, y_valid, x_test, y_test = Data_Loading_Adult()\n",
+    "    \n",
+    "    print(data_name + ' Data Loaded')\n",
+    "    \n",
+    "    # DPBag Algorithm\n",
+    "    Temp_ACC, Temp_AUC, Temp_APR, Temp_Budget, Temp_Model = DPBag(x_train, y_train, x_valid, x_test, y_test, parameters)\n",
+    "    \n",
+    "    print('Finish DPBag Algorithm')\n",
+    "        \n",
+    "    # Gather performance metrics\n",
+    "    Output_ACC.append(Temp_ACC)\n",
+    "    Output_AUC.append(Temp_AUC)\n",
+    "    Output_APR.append(Temp_APR)\n",
+    "    Output_Budget.append(Temp_Budget)\n",
+    "    Output_Model.append(Temp_Model)\n",
+    "        "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Performance Table"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "dict_metrics = {'Epsilon':[i+1 for i in range(len(Output_ACC[0]))],\n",
+    "                'Accuracy': np.mean(Output_ACC,0),\n",
+    "                'AUROC': np.mean(Output_AUC,0),\n",
+    "                'AUPRC': np.mean(Output_APR,0),\n",
+    "                'Budget': np.mean(Output_Budget,0)}\n",
+    "\n",
+    "Output_Metric = pd.DataFrame(dict_metrics)\n",
+    "\n",
+    "# Print Final Metric\n",
+    "print(Output_Metric)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Differentially Private Classification Models"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "epsilon = 1\n",
+    "print(Output_Model[0][epsilon])"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
+
diff --git a/alg/dpbag/data/adult.data b/alg/dpbag/data/adult.data
new file mode 100644
index 00000000..e3cf049c
--- /dev/null
+++ b/alg/dpbag/data/adult.data
@@ -0,0 +1,32562 @@
+39, State-gov, 77516, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 2174, 0, 40, United-States, <=50K
+50, Self-emp-not-inc, 83311, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 13, United-States, <=50K
+38, Private, 215646, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+53, Private, 234721, 11th, 7, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+28, Private, 338409, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, Black, Female, 0, 0, 40, Cuba, <=50K
+37, Private, 284582, Masters, 14, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K
+49, Private, 160187, 9th, 5, Married-spouse-absent, Other-service, Not-in-family, Black, Female, 0, 0, 16, Jamaica, <=50K
+52, Self-emp-not-inc, 209642, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+31, Private, 45781, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 14084, 0, 50, United-States, >50K
+42, Private, 159449, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 5178, 0, 40, United-States, >50K
+37, Private, 280464, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 80, United-States, >50K
+30, State-gov, 141297, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, India, >50K
+23, Private, 122272, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+32, Private, 205019, Assoc-acdm, 12, Never-married, Sales, Not-in-family, Black, Male, 0, 0, 50, United-States, <=50K
+40, Private, 121772, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, ?, >50K
+34, Private, 245487, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male, 0, 0, 45, Mexico, <=50K
+25, Self-emp-not-inc, 176756, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+32, Private, 186824, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 28887, 11th, 7, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K
+43, Self-emp-not-inc, 292175, Masters, 14, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 45, United-States, >50K
+40, Private, 193524, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K
+54, Private, 302146, HS-grad, 9, Separated, Other-service, Unmarried, Black, Female, 0, 0, 20, United-States, <=50K
+35, Federal-gov, 76845, 9th, 5, Married-civ-spouse, Farming-fishing, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+43, Private, 117037, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 2042, 40, United-States, <=50K
+59, Private, 109015, HS-grad, 9, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+56, Local-gov, 216851, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K
+19, Private, 168294, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+54, ?, 180211, Some-college, 10, Married-civ-spouse, ?, Husband, Asian-Pac-Islander, Male, 0, 0, 60, South, >50K
+39, Private, 367260, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 80, United-States, <=50K
+49, Private, 193366, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+23, Local-gov, 190709, Assoc-acdm, 12, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 52, United-States, <=50K
+20, Private, 266015, Some-college, 10, Never-married, Sales, Own-child, Black, Male, 0, 0, 44, United-States, <=50K
+45, Private, 386940, Bachelors, 13, Divorced, Exec-managerial, Own-child, White, Male, 0, 1408, 40, United-States, <=50K
+30, Federal-gov, 59951, Some-college, 10, Married-civ-spouse, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+22, State-gov, 311512, Some-college, 10, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 15, United-States, <=50K
+48, Private, 242406, 11th, 7, Never-married, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, Puerto-Rico, <=50K
+21, Private, 197200, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+19, Private, 544091, HS-grad, 9, Married-AF-spouse, Adm-clerical, Wife, White, Female, 0, 0, 25, United-States, <=50K
+31, Private, 84154, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 38, ?, >50K
+48, Self-emp-not-inc, 265477, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 507875, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 43, United-States, <=50K
+53, Self-emp-not-inc, 88506, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 172987, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 50, United-States, <=50K
+49, Private, 94638, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+25, Private, 289980, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+57, Federal-gov, 337895, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 40, United-States, >50K
+53, Private, 144361, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 38, United-States, <=50K
+44, Private, 128354, Masters, 14, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+41, State-gov, 101603, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 271466, Assoc-voc, 11, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 43, United-States, <=50K
+25, Private, 32275, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, Other, Female, 0, 0, 40, United-States, <=50K
+18, Private, 226956, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, ?, <=50K
+47, Private, 51835, Prof-school, 15, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1902, 60, Honduras, >50K
+50, Federal-gov, 251585, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 55, United-States, >50K
+47, Self-emp-inc, 109832, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+43, Private, 237993, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K
+46, Private, 216666, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+35, Private, 56352, Assoc-voc, 11, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Puerto-Rico, <=50K
+41, Private, 147372, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 48, United-States, <=50K
+30, Private, 188146, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 5013, 0, 40, United-States, <=50K
+30, Private, 59496, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 2407, 0, 40, United-States, <=50K
+32, ?, 293936, 7th-8th, 4, Married-spouse-absent, ?, Not-in-family, White, Male, 0, 0, 40, ?, <=50K
+48, Private, 149640, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+42, Private, 116632, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K
+29, Private, 105598, Some-college, 10, Divorced, Tech-support, Not-in-family, White, Male, 0, 0, 58, United-States, <=50K
+36, Private, 155537, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 183175, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+53, Private, 169846, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K
+49, Self-emp-inc, 191681, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+25, ?, 200681, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+19, Private, 101509, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 32, United-States, <=50K
+31, Private, 309974, Bachelors, 13, Separated, Sales, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+29, Self-emp-not-inc, 162298, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 70, United-States, >50K
+23, Private, 211678, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+79, Private, 124744, Some-college, 10, Married-civ-spouse, Prof-specialty, Other-relative, White, Male, 0, 0, 20, United-States, <=50K
+27, Private, 213921, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, Mexico, <=50K
+40, Private, 32214, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+67, ?, 212759, 10th, 6, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 2, United-States, <=50K
+18, Private, 309634, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 22, United-States, <=50K
+31, Local-gov, 125927, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K
+18, Private, 446839, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+52, Private, 276515, Bachelors, 13, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Cuba, <=50K
+46, Private, 51618, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K
+59, Private, 159937, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 48, United-States, <=50K
+44, Private, 343591, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Female, 14344, 0, 40, United-States, >50K
+53, Private, 346253, HS-grad, 9, Divorced, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+49, Local-gov, 268234, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K
+33, Private, 202051, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K
+30, Private, 54334, 9th, 5, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+43, Federal-gov, 410867, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, >50K
+57, Private, 249977, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 286730, Some-college, 10, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+28, Private, 212563, Some-college, 10, Divorced, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 25, United-States, <=50K
+30, Private, 117747, HS-grad, 9, Married-civ-spouse, Sales, Wife, Asian-Pac-Islander, Female, 0, 1573, 35, ?, <=50K
+34, Local-gov, 226296, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K
+29, Local-gov, 115585, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+48, Self-emp-not-inc, 191277, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 60, United-States, >50K
+37, Private, 202683, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 48, United-States, >50K
+48, Private, 171095, Assoc-acdm, 12, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, England, <=50K
+32, Federal-gov, 249409, HS-grad, 9, Never-married, Other-service, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+76, Private, 124191, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+44, Private, 198282, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 60, United-States, >50K
+47, Self-emp-not-inc, 149116, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+20, Private, 188300, Some-college, 10, Never-married, Tech-support, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+29, Private, 103432, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+32, Self-emp-inc, 317660, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 40, United-States, >50K
+17, ?, 304873, 10th, 6, Never-married, ?, Own-child, White, Female, 34095, 0, 32, United-States, <=50K
+30, Private, 194901, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+31, Local-gov, 189265, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+42, Private, 124692, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 432376, Bachelors, 13, Never-married, Sales, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 65324, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+56, Self-emp-not-inc, 335605, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 1887, 50, Canada, >50K
+28, Private, 377869, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 4064, 0, 25, United-States, <=50K
+36, Private, 102864, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+53, Private, 95647, 9th, 5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 50, United-States, <=50K
+56, Self-emp-inc, 303090, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K
+49, Local-gov, 197371, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, >50K
+55, Private, 247552, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 56, United-States, <=50K
+22, Private, 102632, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 41, United-States, <=50K
+21, Private, 199915, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+40, Private, 118853, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K
+30, Private, 77143, Bachelors, 13, Never-married, Exec-managerial, Own-child, Black, Male, 0, 0, 40, Germany, <=50K
+29, State-gov, 267989, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+19, Private, 301606, Some-college, 10, Never-married, Other-service, Own-child, Black, Male, 0, 0, 35, United-States, <=50K
+47, Private, 287828, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K
+20, Private, 111697, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 1719, 28, United-States, <=50K
+31, Private, 114937, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+35, ?, 129305, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+39, Private, 365739, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 69621, Assoc-acdm, 12, Never-married, Sales, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K
+24, Private, 43323, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 1762, 40, United-States, <=50K
+38, Self-emp-not-inc, 120985, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 4386, 0, 35, United-States, <=50K
+37, Private, 254202, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K
+46, Private, 146195, Assoc-acdm, 12, Divorced, Tech-support, Not-in-family, Black, Female, 0, 0, 36, United-States, <=50K
+38, Federal-gov, 125933, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, Iran, >50K
+43, Self-emp-not-inc, 56920, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K
+27, Private, 163127, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 35, United-States, <=50K
+20, Private, 34310, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+49, Private, 81973, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, >50K
+61, Self-emp-inc, 66614, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 232782, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+19, Private, 316868, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, Mexico, <=50K
+45, Private, 196584, Assoc-voc, 11, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 1564, 40, United-States, >50K
+70, Private, 105376, Some-college, 10, Never-married, Tech-support, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 185814, HS-grad, 9, Never-married, Transport-moving, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K
+22, Private, 175374, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 24, United-States, <=50K
+36, Private, 108293, HS-grad, 9, Widowed, Other-service, Unmarried, White, Female, 0, 0, 24, United-States, <=50K
+64, Private, 181232, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 2179, 40, United-States, <=50K
+43, ?, 174662, Some-college, 10, Divorced, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+47, Local-gov, 186009, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 38, Mexico, <=50K
+34, Private, 198183, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+33, Private, 163003, Bachelors, 13, Never-married, Exec-managerial, Other-relative, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K
+21, Private, 296158, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+52, ?, 252903, HS-grad, 9, Divorced, ?, Not-in-family, White, Male, 0, 0, 45, United-States, >50K
+48, Private, 187715, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 46, United-States, <=50K
+23, Private, 214542, Bachelors, 13, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+71, Self-emp-not-inc, 494223, Some-college, 10, Separated, Sales, Unmarried, Black, Male, 0, 1816, 2, United-States, <=50K
+29, Private, 191535, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+42, Private, 228456, Bachelors, 13, Separated, Other-service, Other-relative, Black, Male, 0, 0, 50, United-States, <=50K
+68, ?, 38317, 1st-4th, 2, Divorced, ?, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+25, Private, 252752, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+44, Self-emp-inc, 78374, Masters, 14, Divorced, Exec-managerial, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K
+28, Private, 88419, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, England, <=50K
+45, Self-emp-not-inc, 201080, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+36, Private, 207157, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K
+39, Federal-gov, 235485, Assoc-acdm, 12, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K
+46, State-gov, 102628, Masters, 14, Widowed, Protective-serv, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+18, Private, 25828, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 16, United-States, <=50K
+66, Local-gov, 54826, Assoc-voc, 11, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+27, Private, 124953, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 1980, 40, United-States, <=50K
+28, State-gov, 175325, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K
+51, Private, 96062, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 1977, 40, United-States, >50K
+27, Private, 428030, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+28, State-gov, 149624, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+27, Private, 253814, HS-grad, 9, Married-spouse-absent, Sales, Unmarried, White, Female, 0, 0, 25, United-States, <=50K
+21, Private, 312956, HS-grad, 9, Never-married, Craft-repair, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+34, Private, 483777, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+18, Private, 183930, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 12, United-States, <=50K
+33, Private, 37274, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 65, United-States, <=50K
+44, Local-gov, 181344, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 38, United-States, >50K
+43, Private, 114580, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+30, Private, 633742, Some-college, 10, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 45, United-States, <=50K
+40, Private, 286370, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, >50K
+37, Federal-gov, 29054, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 42, United-States, >50K
+34, Private, 304030, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+41, Self-emp-not-inc, 143129, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+53, ?, 135105, Bachelors, 13, Divorced, ?, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+31, Private, 99928, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 50, United-States, <=50K
+58, State-gov, 109567, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 1, United-States, >50K
+38, Private, 155222, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 28, United-States, <=50K
+24, Private, 159567, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+41, Local-gov, 523910, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+47, Private, 120939, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 45, United-States, <=50K
+41, Federal-gov, 130760, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 24, United-States, <=50K
+23, Private, 197387, 5th-6th, 3, Married-civ-spouse, Transport-moving, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K
+36, Private, 99374, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+40, Federal-gov, 56795, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 14084, 0, 55, United-States, >50K
+35, Private, 138992, Masters, 14, Married-civ-spouse, Prof-specialty, Other-relative, White, Male, 7298, 0, 40, United-States, >50K
+24, Self-emp-not-inc, 32921, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 397317, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 1876, 40, United-States, <=50K
+19, ?, 170653, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 40, Italy, <=50K
+51, Private, 259323, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+42, Local-gov, 254817, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 1340, 40, United-States, <=50K
+37, State-gov, 48211, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 35, United-States, <=50K
+18, Private, 140164, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+36, Private, 128757, Bachelors, 13, Married-civ-spouse, Other-service, Husband, Black, Male, 7298, 0, 36, United-States, >50K
+35, Private, 36270, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+58, Self-emp-inc, 210563, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 15024, 0, 35, United-States, >50K
+17, Private, 65368, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 12, United-States, <=50K
+44, Local-gov, 160943, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+37, Private, 208358, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+35, Private, 153790, Some-college, 10, Never-married, Sales, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K
+60, Private, 85815, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K
+54, Self-emp-inc, 125417, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K
+37, Private, 635913, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, Black, Male, 0, 0, 60, United-States, >50K
+50, Private, 313321, Assoc-acdm, 12, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+38, Private, 182609, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, Poland, <=50K
+45, Private, 109434, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, <=50K
+25, Private, 255004, 10th, 6, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 197860, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+64, ?, 187656, 1st-4th, 2, Divorced, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+90, Private, 51744, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Male, 0, 2206, 40, United-States, <=50K
+54, Private, 176681, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 20, United-States, <=50K
+53, Local-gov, 140359, Preschool, 1, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+18, Private, 243313, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+60, ?, 24215, 10th, 6, Divorced, ?, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 10, United-States, <=50K
+66, Self-emp-not-inc, 167687, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 1409, 0, 50, United-States, <=50K
+75, Private, 314209, Assoc-voc, 11, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 20, Columbia, <=50K
+65, Private, 176796, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+35, Private, 538583, 11th, 7, Separated, Transport-moving, Not-in-family, Black, Male, 3674, 0, 40, United-States, <=50K
+41, Private, 130408, HS-grad, 9, Divorced, Sales, Unmarried, Black, Female, 0, 0, 38, United-States, <=50K
+25, Private, 159732, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K
+33, Private, 110978, Some-college, 10, Divorced, Craft-repair, Other-relative, Other, Female, 0, 0, 40, United-States, <=50K
+28, Private, 76714, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 55, United-States, >50K
+59, State-gov, 268700, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+40, State-gov, 170525, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K
+41, Private, 180138, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, Iran, >50K
+38, Local-gov, 115076, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 70, United-States, >50K
+23, Private, 115458, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 347890, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+41, Self-emp-not-inc, 196001, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 20, United-States, <=50K
+24, State-gov, 273905, Assoc-acdm, 12, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 50, United-States, <=50K
+20, ?, 119156, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+38, Private, 179488, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 1741, 40, United-States, <=50K
+56, Private, 203580, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 35, ?, <=50K
+58, Private, 236596, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, >50K
+32, Private, 183916, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 34, United-States, <=50K
+40, Private, 207578, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 1977, 60, United-States, >50K
+45, Private, 153141, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, ?, <=50K
+41, Private, 112763, Prof-school, 15, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K
+42, Private, 390781, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 40, United-States, <=50K
+59, Local-gov, 171328, 10th, 6, Widowed, Other-service, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K
+19, Local-gov, 27382, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+58, Private, 259014, Some-college, 10, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K
+42, Self-emp-not-inc, 303044, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Cambodia, >50K
+20, Private, 117789, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+32, Private, 172579, HS-grad, 9, Separated, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+45, Private, 187666, Assoc-voc, 11, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+50, Private, 204518, 7th-8th, 4, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 150042, Bachelors, 13, Divorced, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+45, Private, 98092, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K
+17, Private, 245918, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 12, United-States, <=50K
+59, Private, 146013, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 4064, 0, 40, United-States, <=50K
+26, Private, 378322, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+37, Self-emp-inc, 257295, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 75, Thailand, >50K
+19, ?, 218956, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 24, Canada, <=50K
+64, Private, 21174, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+33, Private, 185480, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+33, Private, 222205, HS-grad, 9, Married-civ-spouse, Craft-repair, Wife, White, Female, 0, 0, 40, United-States, >50K
+61, Private, 69867, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+17, Private, 191260, 9th, 5, Never-married, Other-service, Own-child, White, Male, 1055, 0, 24, United-States, <=50K
+50, Self-emp-not-inc, 30653, Masters, 14, Married-civ-spouse, Farming-fishing, Husband, White, Male, 2407, 0, 98, United-States, <=50K
+27, Local-gov, 209109, Masters, 14, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+30, Private, 70377, HS-grad, 9, Divorced, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+43, Private, 477983, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+44, Private, 170924, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 40, United-States, >50K
+35, Private, 190174, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+25, Private, 193787, Some-college, 10, Never-married, Tech-support, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+24, Private, 279472, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 7298, 0, 48, United-States, >50K
+22, Private, 34918, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 15, Germany, <=50K
+42, Local-gov, 97688, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 5178, 0, 40, United-States, >50K
+34, Private, 175413, Assoc-acdm, 12, Divorced, Sales, Unmarried, Black, Female, 0, 0, 45, United-States, <=50K
+60, Private, 173960, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 42, United-States, <=50K
+21, Private, 205759, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+57, Federal-gov, 425161, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 40, United-States, >50K
+41, Private, 220531, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K
+50, Private, 176609, Some-college, 10, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+25, Private, 371987, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+50, Private, 193884, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Ecuador, <=50K
+36, Private, 200352, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K
+31, Private, 127595, HS-grad, 9, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+29, Local-gov, 220419, Bachelors, 13, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 56, United-States, <=50K
+21, Private, 231931, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 45, United-States, <=50K
+27, Private, 248402, Bachelors, 13, Never-married, Tech-support, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+65, Private, 111095, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 16, United-States, <=50K
+37, Self-emp-inc, 57424, Bachelors, 13, Divorced, Sales, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K
+39, ?, 157443, Masters, 14, Married-civ-spouse, ?, Wife, Asian-Pac-Islander, Female, 3464, 0, 40, ?, <=50K
+24, Private, 278130, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 169469, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 80, United-States, <=50K
+48, Private, 146268, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 7688, 0, 40, United-States, >50K
+21, Private, 153718, Some-college, 10, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 25, United-States, <=50K
+31, Private, 217460, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, >50K
+55, Private, 238638, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 4386, 0, 40, United-States, >50K
+24, Private, 303296, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female, 0, 0, 40, Laos, <=50K
+43, Private, 173321, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+26, Private, 193945, Assoc-acdm, 12, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+46, Private, 83082, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 33, United-States, <=50K
+35, Private, 193815, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+41, Self-emp-inc, 34987, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 54, United-States, >50K
+26, Private, 59306, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 142897, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 7298, 0, 35, Taiwan, >50K
+19, ?, 860348, Some-college, 10, Never-married, ?, Own-child, Black, Female, 0, 0, 25, United-States, <=50K
+36, Self-emp-not-inc, 205607, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, Black, Female, 0, 0, 40, United-States, >50K
+22, Private, 199698, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 15, United-States, <=50K
+24, Private, 191954, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+77, Self-emp-not-inc, 138714, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 399087, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Other-relative, White, Female, 0, 0, 40, Mexico, <=50K
+29, Private, 423158, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+62, Private, 159841, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K
+39, Self-emp-not-inc, 174308, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+43, Private, 50356, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1485, 50, United-States, <=50K
+35, Private, 186110, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+29, Private, 200381, 11th, 7, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+76, Self-emp-not-inc, 174309, Masters, 14, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 10, United-States, <=50K
+63, Self-emp-not-inc, 78383, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 45, United-States, <=50K
+23, ?, 211601, Assoc-voc, 11, Never-married, ?, Own-child, Black, Female, 0, 0, 15, United-States, <=50K
+43, Private, 187728, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1887, 50, United-States, >50K
+58, Self-emp-not-inc, 321171, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+66, Private, 127921, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 2050, 0, 55, United-States, <=50K
+41, Private, 206565, Some-college, 10, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 45, United-States, <=50K
+26, Private, 224563, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+47, Private, 178686, Assoc-voc, 11, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+55, Local-gov, 98545, 10th, 6, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+53, Private, 242606, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+17, Private, 270942, 5th-6th, 3, Never-married, Other-service, Other-relative, White, Male, 0, 0, 48, Mexico, <=50K
+30, Private, 94235, HS-grad, 9, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+49, Private, 71195, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+19, Private, 104112, HS-grad, 9, Never-married, Sales, Unmarried, Black, Male, 0, 0, 30, Haiti, <=50K
+45, Private, 261192, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+26, Private, 94936, Assoc-acdm, 12, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 296478, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 40, United-States, >50K
+36, State-gov, 119272, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 7298, 0, 40, United-States, >50K
+33, Private, 85043, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K
+22, State-gov, 293364, Some-college, 10, Never-married, Protective-serv, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+43, Self-emp-not-inc, 241895, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K
+67, ?, 36135, 11th, 7, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 8, United-States, <=50K
+30, ?, 151989, Assoc-voc, 11, Divorced, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+56, Private, 101128, Assoc-acdm, 12, Married-spouse-absent, Other-service, Not-in-family, White, Male, 0, 0, 25, Iran, <=50K
+31, Private, 156464, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 25, United-States, <=50K
+33, Private, 117963, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+26, Private, 192262, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 111363, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+46, Local-gov, 329752, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 30, United-States, <=50K
+59, ?, 372020, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, >50K
+38, Federal-gov, 95432, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+65, Private, 161400, 11th, 7, Widowed, Other-service, Unmarried, Other, Male, 0, 0, 40, United-States, <=50K
+40, Private, 96129, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K
+42, Private, 111949, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 35, United-States, <=50K
+26, Self-emp-not-inc, 117125, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Portugal, <=50K
+36, Private, 348022, 10th, 6, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 24, United-States, <=50K
+62, Private, 270092, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+43, Private, 180609, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K
+43, Private, 174575, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 1564, 45, United-States, >50K
+22, Private, 410439, HS-grad, 9, Married-spouse-absent, Sales, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K
+28, Private, 92262, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+56, Self-emp-not-inc, 183081, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K
+22, Private, 362589, Assoc-acdm, 12, Never-married, Sales, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K
+57, Private, 212448, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, >50K
+39, Private, 481060, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+26, Federal-gov, 185885, Some-college, 10, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 15, United-States, <=50K
+17, Private, 89821, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 10, United-States, <=50K
+40, State-gov, 184018, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 38, United-States, >50K
+45, Private, 256649, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+44, Private, 160323, HS-grad, 9, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+20, Local-gov, 350845, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 10, United-States, <=50K
+33, Private, 267404, HS-grad, 9, Married-civ-spouse, Craft-repair, Wife, White, Female, 0, 0, 40, United-States, <=50K
+23, Private, 35633, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+46, Self-emp-not-inc, 80914, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+38, Private, 172927, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K
+54, Private, 174319, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+46, Private, 214955, 5th-6th, 3, Divorced, Craft-repair, Not-in-family, White, Female, 0, 2339, 45, United-States, <=50K
+25, Private, 344991, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+46, Private, 108699, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+36, Local-gov, 117312, Some-college, 10, Married-civ-spouse, Transport-moving, Wife, White, Female, 0, 0, 40, United-States, <=50K
+23, Private, 396099, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K
+29, Private, 134152, HS-grad, 9, Separated, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+44, Private, 162028, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 2415, 6, United-States, >50K
+19, Private, 25429, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 16, United-States, <=50K
+19, Private, 232392, HS-grad, 9, Never-married, Other-service, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+35, Private, 220098, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, >50K
+27, Private, 301302, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+46, Self-emp-not-inc, 277946, Assoc-acdm, 12, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+34, State-gov, 98101, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 45, ?, >50K
+34, Private, 196164, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+44, Private, 115562, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K
+45, Private, 96975, Some-college, 10, Divorced, Handlers-cleaners, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+20, ?, 137300, HS-grad, 9, Never-married, ?, Other-relative, White, Female, 0, 0, 35, United-States, <=50K
+25, Private, 86872, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K
+52, Self-emp-inc, 132178, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+20, Private, 416103, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 108574, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+50, State-gov, 288353, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K
+34, Private, 227689, Assoc-voc, 11, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 64, United-States, <=50K
+28, Private, 166481, 7th-8th, 4, Married-civ-spouse, Handlers-cleaners, Husband, Other, Male, 0, 2179, 40, Puerto-Rico, <=50K
+41, Private, 445382, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 65, United-States, >50K
+28, Private, 110145, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+46, Self-emp-not-inc, 317253, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 25, United-States, <=50K
+28, ?, 123147, Some-college, 10, Married-civ-spouse, ?, Wife, White, Female, 0, 1887, 40, United-States, >50K
+32, Private, 364657, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K
+41, Local-gov, 42346, Some-college, 10, Divorced, Other-service, Not-in-family, Black, Female, 0, 0, 24, United-States, <=50K
+24, Private, 241951, HS-grad, 9, Never-married, Handlers-cleaners, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+33, Private, 118500, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+46, Private, 188386, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 60, United-States, >50K
+31, State-gov, 1033222, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 92440, 12th, 8, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, >50K
+52, Private, 190762, 1st-4th, 2, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+30, Private, 426017, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 19, United-States, <=50K
+34, Local-gov, 243867, 11th, 7, Separated, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+34, State-gov, 240283, HS-grad, 9, Divorced, Transport-moving, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+20, Private, 61777, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 30, United-States, <=50K
+17, Private, 175024, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 2176, 0, 18, United-States, <=50K
+32, State-gov, 92003, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K
+29, Private, 188401, HS-grad, 9, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 228528, 10th, 6, Never-married, Craft-repair, Unmarried, White, Female, 0, 0, 35, United-States, <=50K
+25, Private, 133373, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K
+36, Federal-gov, 255191, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 1408, 40, United-States, <=50K
+23, Private, 204653, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 72, Dominican-Republic, <=50K
+63, Self-emp-inc, 222289, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+47, Local-gov, 287480, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+80, ?, 107762, HS-grad, 9, Widowed, ?, Not-in-family, White, Male, 0, 0, 24, United-States, <=50K
+17, ?, 202521, 11th, 7, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+40, Self-emp-not-inc, 204116, Bachelors, 13, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female, 2174, 0, 40, United-States, <=50K
+30, Private, 29662, Assoc-acdm, 12, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 25, United-States, >50K
+27, Private, 116358, Some-college, 10, Never-married, Craft-repair, Own-child, Asian-Pac-Islander, Male, 0, 1980, 40, Philippines, <=50K
+33, Private, 208405, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+34, Local-gov, 284843, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, Black, Male, 594, 0, 60, United-States, <=50K
+34, Local-gov, 117018, Some-college, 10, Never-married, Protective-serv, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+23, Private, 81281, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+42, Local-gov, 340148, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K
+29, Private, 363425, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+45, Private, 45857, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 28, United-States, <=50K
+24, Federal-gov, 191073, HS-grad, 9, Never-married, Armed-Forces, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+44, Private, 116632, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+27, Private, 405855, 9th, 5, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K
+20, Private, 298227, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+44, Private, 290521, HS-grad, 9, Widowed, Exec-managerial, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+51, Private, 56915, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K
+20, Private, 146538, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+17, ?, 258872, 11th, 7, Never-married, ?, Own-child, White, Female, 0, 0, 5, United-States, <=50K
+19, Private, 206399, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+45, Self-emp-inc, 197332, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, >50K
+60, Private, 245062, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+42, Private, 197583, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, ?, >50K
+44, Self-emp-not-inc, 234885, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, >50K
+40, Private, 72887, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, >50K
+30, Private, 180374, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K
+38, Private, 351299, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 50, United-States, <=50K
+23, Private, 54012, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K
+32, ?, 115745, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+44, Private, 116632, Assoc-acdm, 12, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+54, Local-gov, 288825, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+32, Private, 132601, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K
+50, Private, 193374, 1st-4th, 2, Married-spouse-absent, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 170070, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+37, Private, 126708, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 60, United-States, <=50K
+52, Private, 35598, HS-grad, 9, Divorced, Transport-moving, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 33983, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+49, Private, 192776, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 45, United-States, >50K
+30, Private, 118551, Bachelors, 13, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 16, United-States, >50K
+60, Private, 201965, Some-college, 10, Never-married, Prof-specialty, Unmarried, White, Male, 0, 0, 40, United-States, >50K
+22, ?, 139883, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 285020, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 303990, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+67, Private, 49401, Assoc-voc, 11, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K
+46, Private, 279196, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+17, Private, 211870, 9th, 5, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 6, United-States, <=50K
+22, Private, 281432, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+27, Private, 161155, 10th, 6, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 197904, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 35, United-States, <=50K
+33, Private, 111746, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, Portugal, <=50K
+43, Self-emp-not-inc, 170721, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 20, United-States, <=50K
+28, State-gov, 70100, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K
+41, Private, 193626, HS-grad, 9, Married-spouse-absent, Craft-repair, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+52, ?, 271749, 12th, 8, Never-married, ?, Other-relative, Black, Male, 594, 0, 40, United-States, <=50K
+25, Private, 189775, Some-college, 10, Married-spouse-absent, Adm-clerical, Own-child, Black, Female, 0, 0, 20, United-States, <=50K
+63, ?, 401531, 1st-4th, 2, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 35, United-States, <=50K
+59, Local-gov, 286967, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K
+45, Local-gov, 164427, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+38, Private, 91039, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 60, United-States, >50K
+40, Private, 347934, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+46, Federal-gov, 371373, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 32220, Assoc-acdm, 12, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K
+34, Private, 187251, HS-grad, 9, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 25, United-States, <=50K
+33, Private, 178107, Bachelors, 13, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+41, Private, 343121, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 36, United-States, <=50K
+20, Private, 262749, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 403107, 5th-6th, 3, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, El-Salvador, <=50K
+26, Private, 64293, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+72, ?, 303588, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 20, United-States, <=50K
+23, Local-gov, 324960, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, Poland, <=50K
+62, Local-gov, 114060, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+52, Private, 48925, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+58, Private, 180980, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 42, France, <=50K
+25, Private, 181054, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+24, Private, 388093, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+19, Private, 249609, Some-college, 10, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 8, United-States, <=50K
+43, Private, 112131, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+47, Local-gov, 543162, HS-grad, 9, Separated, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+39, Private, 91996, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+49, Private, 141944, Assoc-voc, 11, Married-spouse-absent, Handlers-cleaners, Unmarried, White, Male, 0, 1380, 42, United-States, <=50K
+53, ?, 251804, 5th-6th, 3, Widowed, ?, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K
+32, Private, 37070, Assoc-voc, 11, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+34, Private, 337587, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+28, Private, 189346, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+57, ?, 222216, Assoc-voc, 11, Widowed, ?, Unmarried, White, Female, 0, 0, 38, United-States, <=50K
+25, Private, 267044, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 20, United-States, <=50K
+20, ?, 214635, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 24, United-States, <=50K
+21, ?, 204226, Some-college, 10, Never-married, ?, Unmarried, White, Female, 0, 0, 35, United-States, <=50K
+34, Private, 108116, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+38, Self-emp-inc, 99146, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 80, United-States, >50K
+50, Private, 196232, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 50, United-States, >50K
+24, Local-gov, 248344, Some-college, 10, Divorced, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 50, United-States, <=50K
+37, Local-gov, 186035, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 45, United-States, >50K
+44, Private, 177905, Some-college, 10, Divorced, Machine-op-inspct, Unmarried, White, Male, 0, 0, 58, United-States, >50K
+28, Private, 85812, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, <=50K
+42, Private, 221172, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+74, Private, 99183, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 9, United-States, <=50K
+38, Self-emp-not-inc, 190387, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+44, Self-emp-not-inc, 202692, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+44, Private, 109339, 11th, 7, Divorced, Machine-op-inspct, Unmarried, Other, Female, 0, 0, 46, Puerto-Rico, <=50K
+26, Private, 108658, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 197202, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+41, Private, 101739, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 50, United-States, >50K
+67, Private, 231559, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 20051, 0, 48, United-States, >50K
+39, Local-gov, 207853, 12th, 8, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 50, United-States, <=50K
+57, Private, 190942, 1st-4th, 2, Widowed, Priv-house-serv, Not-in-family, Black, Female, 0, 0, 30, United-States, <=50K
+29, Private, 102345, Assoc-voc, 11, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+31, Self-emp-inc, 41493, Bachelors, 13, Never-married, Farming-fishing, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+34, ?, 190027, HS-grad, 9, Never-married, ?, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+44, Private, 210525, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 133937, Doctorate, 16, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 237903, Some-college, 10, Never-married, Handlers-cleaners, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+27, Private, 163862, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 201872, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K
+32, Private, 84179, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+58, Private, 51662, 10th, 6, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 8, United-States, <=50K
+35, Local-gov, 233327, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 259510, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 36, United-States, <=50K
+28, Private, 184831, Some-college, 10, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+46, Self-emp-not-inc, 245724, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+36, Self-emp-not-inc, 27053, HS-grad, 9, Separated, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+72, Private, 205343, 11th, 7, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+35, Private, 229328, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female, 0, 0, 40, United-States, <=50K
+33, Federal-gov, 319560, Assoc-voc, 11, Divorced, Craft-repair, Unmarried, Black, Female, 0, 0, 40, United-States, >50K
+69, Private, 136218, 11th, 7, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+35, Private, 54576, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 323069, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 20, ?, <=50K
+34, Private, 148291, HS-grad, 9, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 32, United-States, <=50K
+30, Private, 152453, 11th, 7, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+28, Private, 114053, Bachelors, 13, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K
+54, Private, 212960, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 35, United-States, >50K
+47, Private, 264052, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+24, Private, 82804, HS-grad, 9, Never-married, Handlers-cleaners, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+52, Self-emp-not-inc, 334273, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K
+20, Private, 27337, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 48, United-States, <=50K
+43, Self-emp-inc, 188436, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 5013, 0, 45, United-States, <=50K
+45, Private, 433665, 7th-8th, 4, Separated, Other-service, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K
+29, Self-emp-not-inc, 110663, HS-grad, 9, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+47, Private, 87490, Masters, 14, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 42, United-States, <=50K
+24, Private, 354351, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+51, Private, 95469, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+17, Private, 242718, 11th, 7, Never-married, Sales, Own-child, White, Male, 0, 0, 12, United-States, <=50K
+37, Private, 22463, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1977, 40, United-States, >50K
+27, Private, 158156, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 70, United-States, <=50K
+29, Private, 350162, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Male, 0, 0, 40, United-States, >50K
+18, ?, 165532, 12th, 8, Never-married, ?, Own-child, White, Male, 0, 0, 25, United-States, <=50K
+36, Self-emp-not-inc, 28738, Assoc-acdm, 12, Divorced, Sales, Unmarried, White, Female, 0, 0, 35, United-States, <=50K
+58, Local-gov, 283635, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+26, Self-emp-not-inc, 86646, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+65, ?, 195733, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 30, United-States, >50K
+57, Private, 69884, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+59, Private, 199713, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 181659, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+31, Self-emp-not-inc, 340939, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 197747, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 24, United-States, <=50K
+29, Private, 34292, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+18, Private, 156764, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+52, Private, 25826, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1887, 47, United-States, >50K
+57, Self-emp-inc, 103948, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 80, United-States, <=50K
+42, ?, 137390, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+55, ?, 105138, HS-grad, 9, Married-civ-spouse, ?, Wife, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K
+60, Private, 39352, 7th-8th, 4, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 48, United-States, >50K
+31, Private, 168387, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 40, Canada, >50K
+23, Private, 117789, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+27, Private, 267147, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+23, ?, 99399, Some-college, 10, Never-married, ?, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 25, United-States, <=50K
+42, Self-emp-not-inc, 214242, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 50, United-States, >50K
+25, Private, 200408, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Male, 2174, 0, 40, United-States, <=50K
+49, Private, 136455, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+32, Private, 239824, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+19, Private, 217039, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 28, United-States, <=50K
+60, Private, 51290, 7th-8th, 4, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+42, Local-gov, 175674, 9th, 5, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+35, Self-emp-not-inc, 194404, Assoc-acdm, 12, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+48, Private, 45612, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 37, United-States, <=50K
+51, Private, 410114, Masters, 14, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+29, Private, 182521, HS-grad, 9, Never-married, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K
+36, Local-gov, 339772, HS-grad, 9, Separated, Exec-managerial, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+17, Private, 169658, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 0, 21, United-States, <=50K
+52, Private, 200853, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 6849, 0, 60, United-States, <=50K
+24, Private, 247564, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 249909, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 50, United-States, <=50K
+26, Local-gov, 208122, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 1055, 0, 40, United-States, <=50K
+27, Private, 109881, Bachelors, 13, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+39, Private, 207824, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 60, United-States, <=50K
+30, Private, 369027, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 45, United-States, <=50K
+50, Self-emp-not-inc, 114117, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 32, United-States, <=50K
+52, Self-emp-inc, 51048, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K
+46, Private, 102388, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 45, United-States, >50K
+23, Private, 190483, Bachelors, 13, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+45, Private, 462440, 11th, 7, Widowed, Other-service, Not-in-family, Black, Female, 0, 0, 20, United-States, <=50K
+65, Private, 109351, 9th, 5, Widowed, Priv-house-serv, Unmarried, Black, Female, 0, 0, 24, United-States, <=50K
+29, Private, 34383, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 55, United-States, <=50K
+47, Private, 241832, 9th, 5, Married-spouse-absent, Handlers-cleaners, Unmarried, White, Male, 0, 0, 40, El-Salvador, <=50K
+30, Private, 124187, HS-grad, 9, Never-married, Farming-fishing, Own-child, Black, Male, 0, 0, 60, United-States, <=50K
+34, Private, 153614, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K
+38, Self-emp-not-inc, 267556, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 64, United-States, <=50K
+33, Private, 205469, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+49, Private, 268090, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 26, United-States, >50K
+47, Self-emp-not-inc, 165039, Some-college, 10, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+49, Local-gov, 120451, 10th, 6, Separated, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+43, Private, 154374, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 15024, 0, 60, United-States, >50K
+30, Private, 103649, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 40, United-States, >50K
+58, Self-emp-not-inc, 35723, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K
+19, Private, 262601, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 14, United-States, <=50K
+21, Private, 226181, Bachelors, 13, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 175697, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 60, United-States, >50K
+47, Self-emp-inc, 248145, 5th-6th, 3, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, Cuba, <=50K
+52, Self-emp-not-inc, 289436, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K
+26, Private, 75654, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K
+60, Private, 199378, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 160968, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 188563, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 5178, 0, 50, United-States, >50K
+31, Private, 55849, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+50, Self-emp-inc, 195322, Doctorate, 16, Separated, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+31, Local-gov, 402089, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+71, Private, 78277, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 15, United-States, <=50K
+58, ?, 158611, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 50, United-States, <=50K
+30, State-gov, 169496, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K
+20, Private, 130959, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+24, Private, 556660, HS-grad, 9, Never-married, Exec-managerial, Other-relative, White, Male, 4101, 0, 50, United-States, <=50K
+35, Private, 292472, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Taiwan, >50K
+38, State-gov, 143774, Some-college, 10, Separated, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+27, Private, 288341, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 32, United-States, <=50K
+29, State-gov, 71592, Some-college, 10, Never-married, Adm-clerical, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K
+70, ?, 167358, 9th, 5, Widowed, ?, Unmarried, White, Female, 1111, 0, 15, United-States, <=50K
+34, Private, 106742, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+44, Private, 219288, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K
+43, Private, 174524, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K
+44, Self-emp-not-inc, 335183, 12th, 8, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, >50K
+35, Private, 261293, Masters, 14, Never-married, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+27, Private, 111900, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+43, Local-gov, 194360, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K
+20, Private, 81145, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K
+42, Private, 341204, Assoc-acdm, 12, Divorced, Prof-specialty, Unmarried, White, Female, 8614, 0, 40, United-States, >50K
+27, State-gov, 249362, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 3411, 0, 40, United-States, <=50K
+42, Private, 247019, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, >50K
+20, ?, 114746, 11th, 7, Married-spouse-absent, ?, Own-child, Asian-Pac-Islander, Female, 0, 1762, 40, South, <=50K
+24, Private, 172146, 9th, 5, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 1721, 40, United-States, <=50K
+48, Federal-gov, 110457, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+17, ?, 80077, 11th, 7, Never-married, ?, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+17, Self-emp-not-inc, 368700, 11th, 7, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 10, United-States, <=50K
+33, Private, 182556, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+50, Self-emp-inc, 219420, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+22, Private, 240817, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 2597, 0, 40, United-States, <=50K
+17, Private, 102726, 12th, 8, Never-married, Other-service, Own-child, White, Male, 0, 0, 16, United-States, <=50K
+32, Private, 226267, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+31, Private, 125457, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+58, Self-emp-not-inc, 204021, HS-grad, 9, Widowed, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+29, Local-gov, 92262, HS-grad, 9, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 48, United-States, <=50K
+37, Private, 161141, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Portugal, >50K
+34, Self-emp-not-inc, 190290, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+23, Local-gov, 430828, Some-college, 10, Separated, Exec-managerial, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K
+18, State-gov, 59342, 11th, 7, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 5, United-States, <=50K
+34, Private, 136721, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+66, ?, 149422, 7th-8th, 4, Never-married, ?, Not-in-family, White, Male, 0, 0, 4, United-States, <=50K
+45, Local-gov, 86644, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 55, United-States, <=50K
+41, Private, 195124, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 35, Dominican-Republic, <=50K
+26, Private, 167350, HS-grad, 9, Never-married, Other-service, Other-relative, White, Male, 0, 0, 30, United-States, <=50K
+54, Local-gov, 113000, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 140027, Some-college, 10, Never-married, Machine-op-inspct, Own-child, Black, Female, 0, 0, 45, United-States, <=50K
+42, Private, 262425, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K
+20, Private, 316702, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+23, State-gov, 335453, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+25, ?, 202480, Assoc-acdm, 12, Never-married, ?, Other-relative, White, Male, 0, 0, 45, United-States, <=50K
+35, Private, 203628, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 60, United-States, >50K
+31, Private, 118710, Masters, 14, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 1902, 40, United-States, >50K
+30, Private, 189620, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, Poland, <=50K
+19, Private, 475028, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+36, Local-gov, 110866, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+31, Private, 243605, Bachelors, 13, Widowed, Sales, Unmarried, White, Female, 0, 1380, 40, Cuba, <=50K
+21, Private, 163870, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+31, Self-emp-not-inc, 80145, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+46, Private, 295566, Doctorate, 16, Divorced, Prof-specialty, Unmarried, White, Female, 25236, 0, 65, United-States, >50K
+44, Private, 63042, Bachelors, 13, Divorced, Exec-managerial, Own-child, White, Female, 0, 0, 50, United-States, >50K
+40, Private, 229148, 12th, 8, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, Jamaica, <=50K
+45, Private, 242552, Some-college, 10, Never-married, Sales, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+60, Private, 177665, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K
+18, Private, 208103, 11th, 7, Never-married, Other-service, Other-relative, White, Male, 0, 0, 25, United-States, <=50K
+28, Private, 296450, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 70282, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+36, Private, 271767, Bachelors, 13, Separated, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, ?, <=50K
+40, Private, 144995, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 4386, 0, 40, United-States, <=50K
+36, Local-gov, 382635, Bachelors, 13, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 35, Honduras, <=50K
+31, Private, 295697, HS-grad, 9, Separated, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+33, Private, 194141, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+19, State-gov, 378418, HS-grad, 9, Never-married, Tech-support, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+22, Private, 214399, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+34, Private, 217460, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+33, Private, 182556, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+41, Private, 125831, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 2051, 60, United-States, <=50K
+29, Private, 271328, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 4650, 0, 40, United-States, <=50K
+50, Local-gov, 50459, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 42, United-States, >50K
+42, Private, 162140, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 45, United-States, >50K
+43, Private, 177937, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, ?, >50K
+44, Private, 111502, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, <=50K
+20, Private, 299047, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+31, Private, 223212, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+65, Self-emp-not-inc, 118474, 11th, 7, Married-civ-spouse, Exec-managerial, Husband, White, Male, 9386, 0, 59, ?, >50K
+23, Private, 352139, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K
+55, Private, 173093, Some-college, 10, Divorced, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K
+26, Private, 181655, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 2377, 45, United-States, <=50K
+25, Private, 332702, Assoc-voc, 11, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+45, ?, 51164, Some-college, 10, Married-civ-spouse, ?, Wife, Black, Female, 0, 0, 40, United-States, <=50K
+35, Private, 234901, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 2407, 0, 40, United-States, <=50K
+36, Private, 131414, Some-college, 10, Never-married, Sales, Not-in-family, Black, Female, 0, 0, 36, United-States, <=50K
+43, State-gov, 260960, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K
+56, Private, 156052, HS-grad, 9, Widowed, Other-service, Unmarried, Black, Female, 594, 0, 20, United-States, <=50K
+42, Private, 279914, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K
+19, Private, 192453, Some-college, 10, Never-married, Other-service, Other-relative, White, Female, 0, 0, 25, United-States, <=50K
+55, Self-emp-not-inc, 200939, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 72, United-States, <=50K
+42, Private, 151408, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 14084, 0, 50, United-States, >50K
+26, Private, 112847, Assoc-voc, 11, Never-married, Tech-support, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+17, Private, 316929, 12th, 8, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+42, Local-gov, 126319, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K
+55, Private, 197422, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 7688, 0, 40, United-States, >50K
+32, Private, 267736, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+29, Private, 267034, 11th, 7, Never-married, Craft-repair, Own-child, Black, Male, 0, 0, 40, Haiti, <=50K
+46, State-gov, 193047, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 37, United-States, <=50K
+29, State-gov, 356089, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 40, United-States, >50K
+22, Private, 223515, Bachelors, 13, Never-married, Prof-specialty, Unmarried, White, Male, 0, 0, 20, United-States, <=50K
+58, Self-emp-not-inc, 87510, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 145111, HS-grad, 9, Never-married, Transport-moving, Unmarried, White, Male, 0, 0, 50, United-States, <=50K
+39, Private, 48093, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 31757, Assoc-voc, 11, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 38, United-States, <=50K
+54, Private, 285854, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K
+33, Local-gov, 120064, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+46, Federal-gov, 167381, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K
+37, Private, 103408, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+36, Private, 101460, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 18, United-States, <=50K
+59, Local-gov, 420537, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 38, United-States, >50K
+34, Local-gov, 119411, HS-grad, 9, Divorced, Protective-serv, Unmarried, White, Male, 0, 0, 40, Portugal, <=50K
+53, Self-emp-inc, 128272, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 70, United-States, >50K
+51, Private, 386773, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 55, United-States, >50K
+32, Private, 283268, 10th, 6, Separated, Other-service, Unmarried, White, Female, 0, 0, 42, United-States, <=50K
+31, State-gov, 301526, Some-college, 10, Married-spouse-absent, Other-service, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 151790, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 30, Germany, <=50K
+47, Self-emp-not-inc, 106252, Bachelors, 13, Divorced, Sales, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+32, Private, 188557, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 171114, Some-college, 10, Never-married, Farming-fishing, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K
+37, Private, 327323, 5th-6th, 3, Separated, Farming-fishing, Not-in-family, White, Male, 0, 0, 32, Guatemala, <=50K
+31, Private, 244147, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 55, United-States, <=50K
+37, Private, 280282, Assoc-voc, 11, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 24, United-States, >50K
+55, Private, 116442, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K
+23, Local-gov, 282579, Assoc-voc, 11, Divorced, Tech-support, Not-in-family, White, Male, 0, 0, 56, United-States, <=50K
+36, Private, 51838, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+34, Private, 73585, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, ?, <=50K
+43, Private, 226902, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+54, Private, 279129, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+43, State-gov, 146908, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, ?, <=50K
+28, Private, 196690, Assoc-voc, 11, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 1669, 42, United-States, <=50K
+40, Private, 130760, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+41, Self-emp-not-inc, 49572, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K
+40, Private, 237601, Bachelors, 13, Never-married, Sales, Not-in-family, Other, Female, 0, 0, 55, United-States, >50K
+42, Private, 169628, Some-college, 10, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 0, 38, United-States, <=50K
+61, Self-emp-not-inc, 36671, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 2352, 50, United-States, <=50K
+18, Private, 231193, 12th, 8, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+59, ?, 192130, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 16, United-States, <=50K
+21, ?, 149704, HS-grad, 9, Never-married, ?, Not-in-family, White, Female, 1055, 0, 40, United-States, <=50K
+48, Private, 102102, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 50, United-States, >50K
+41, Self-emp-inc, 32185, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K
+18, ?, 196061, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 33, United-States, <=50K
+23, Private, 211046, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 2463, 0, 40, United-States, <=50K
+60, Private, 31577, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, >50K
+22, Private, 162343, Some-college, 10, Never-married, Other-service, Other-relative, Black, Male, 0, 0, 20, United-States, <=50K
+61, Private, 128831, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 316688, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+46, Private, 90758, Masters, 14, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 35, United-States, >50K
+43, Private, 274363, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 40, England, >50K
+43, Private, 154538, Assoc-acdm, 12, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 106085, HS-grad, 9, Never-married, Other-service, Own-child, Black, Male, 0, 1721, 30, United-States, <=50K
+68, Self-emp-not-inc, 315859, 11th, 7, Never-married, Farming-fishing, Unmarried, White, Male, 0, 0, 20, United-States, <=50K
+31, Private, 51471, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 38, United-States, <=50K
+17, Private, 193830, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+32, Private, 231043, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 5178, 0, 48, United-States, >50K
+50, ?, 23780, Masters, 14, Married-spouse-absent, ?, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 169879, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 3103, 0, 47, United-States, >50K
+64, Private, 270333, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+20, Private, 138768, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+30, Private, 191571, HS-grad, 9, Separated, Other-service, Own-child, White, Female, 0, 0, 36, United-States, <=50K
+22, ?, 219941, Some-college, 10, Never-married, ?, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+43, Private, 94113, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+22, Private, 137510, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+17, Private, 32607, 10th, 6, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+47, Self-emp-not-inc, 93208, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 75, Italy, <=50K
+41, Private, 254440, Assoc-voc, 11, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K
+56, Private, 186556, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K
+64, Private, 169871, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K
+47, Private, 191277, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K
+48, Private, 167159, Assoc-voc, 11, Never-married, Adm-clerical, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 171871, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 46, United-States, <=50K
+29, Private, 154411, Assoc-voc, 11, Never-married, Tech-support, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 129227, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+32, Private, 110331, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1672, 60, United-States, <=50K
+57, Private, 34269, HS-grad, 9, Widowed, Transport-moving, Unmarried, White, Male, 0, 653, 42, United-States, >50K
+62, Private, 174355, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+39, Private, 680390, HS-grad, 9, Separated, Machine-op-inspct, Unmarried, White, Female, 0, 0, 24, United-States, <=50K
+43, Private, 233130, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K
+24, Self-emp-inc, 165474, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+42, ?, 257780, 11th, 7, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 15, United-States, <=50K
+53, Private, 194259, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 4386, 0, 40, United-States, >50K
+26, Private, 280093, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+73, Self-emp-not-inc, 177387, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+72, ?, 28929, 11th, 7, Widowed, ?, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K
+55, Private, 105304, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 499233, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+41, Private, 180572, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, >50K
+24, Private, 321435, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+63, Private, 86108, HS-grad, 9, Widowed, Farming-fishing, Not-in-family, White, Male, 0, 0, 6, United-States, <=50K
+17, Private, 198124, 11th, 7, Never-married, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+35, Private, 135162, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+51, Private, 146813, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+62, Local-gov, 291175, Bachelors, 13, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K
+55, Private, 387569, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 4386, 0, 40, United-States, >50K
+43, Private, 102895, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+40, Local-gov, 33274, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+37, Private, 86551, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+39, Private, 138192, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 118966, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 18, United-States, <=50K
+61, Private, 99784, Masters, 14, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, >50K
+26, Private, 90980, Assoc-voc, 11, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K
+46, Self-emp-not-inc, 177407, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K
+26, Private, 96467, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+48, State-gov, 327886, Doctorate, 16, Divorced, Prof-specialty, Own-child, White, Male, 0, 0, 50, United-States, >50K
+34, Private, 111567, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+34, Local-gov, 166545, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+59, Private, 142182, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, >50K
+34, Private, 188798, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+49, Private, 38563, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 56, United-States, >50K
+18, Private, 216284, 11th, 7, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+43, Private, 191547, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+48, Private, 285335, 11th, 7, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K
+28, Self-emp-inc, 142712, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 70, United-States, <=50K
+33, Private, 80945, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 309055, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K
+21, Private, 62339, 10th, 6, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+17, Private, 368700, 11th, 7, Never-married, Sales, Own-child, White, Male, 0, 0, 28, United-States, <=50K
+39, Private, 176186, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, >50K
+29, Self-emp-not-inc, 266855, Bachelors, 13, Separated, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+44, Private, 48087, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+24, Private, 121313, Some-college, 10, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 50, United-States, <=50K
+71, Self-emp-not-inc, 143437, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 10605, 0, 40, United-States, >50K
+51, Self-emp-not-inc, 160724, Bachelors, 13, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 2415, 40, China, >50K
+55, Private, 282753, 5th-6th, 3, Divorced, Other-service, Unmarried, Black, Male, 0, 0, 25, United-States, <=50K
+41, Private, 194636, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K
+23, Private, 153044, HS-grad, 9, Never-married, Handlers-cleaners, Unmarried, Black, Female, 0, 0, 7, United-States, <=50K
+38, Private, 411797, Assoc-voc, 11, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+39, Private, 117683, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K
+19, Private, 376540, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+49, Private, 72393, 9th, 5, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+32, Private, 270335, Bachelors, 13, Married-civ-spouse, Adm-clerical, Other-relative, White, Male, 0, 0, 40, Philippines, >50K
+27, Private, 96226, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 70, United-States, <=50K
+38, Private, 95336, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+33, Private, 258498, Some-college, 10, Married-civ-spouse, Craft-repair, Wife, White, Female, 0, 0, 60, United-States, <=50K
+63, ?, 149698, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 15, United-States, <=50K
+23, Private, 205865, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 28, United-States, <=50K
+33, Self-emp-inc, 155781, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, ?, <=50K
+54, Self-emp-not-inc, 406468, HS-grad, 9, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+29, Private, 177119, Assoc-voc, 11, Divorced, Tech-support, Not-in-family, White, Female, 2174, 0, 45, United-States, <=50K
+48, ?, 144397, Some-college, 10, Divorced, ?, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K
+35, Self-emp-not-inc, 372525, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 164170, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female, 0, 0, 40, India, <=50K
+37, Private, 183800, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 50, United-States, >50K
+42, Self-emp-not-inc, 177307, Prof-school, 15, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 65, United-States, >50K
+40, Private, 170108, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+47, Private, 341995, Some-college, 10, Divorced, Sales, Own-child, White, Male, 0, 0, 55, United-States, <=50K
+22, Private, 226508, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 50, United-States, <=50K
+30, Private, 87418, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+28, Private, 109165, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K
+63, Local-gov, 28856, 7th-8th, 4, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 55, United-States, <=50K
+51, Self-emp-not-inc, 175897, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 20, United-States, <=50K
+22, Private, 99697, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+27, ?, 90270, Assoc-acdm, 12, Married-civ-spouse, ?, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K
+35, Private, 152375, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+46, Private, 171550, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K
+37, Private, 211154, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 52, United-States, <=50K
+24, Private, 202570, Bachelors, 13, Never-married, Prof-specialty, Own-child, Black, Male, 0, 0, 15, United-States, <=50K
+37, Self-emp-not-inc, 168496, HS-grad, 9, Divorced, Handlers-cleaners, Own-child, White, Male, 0, 0, 10, United-States, <=50K
+53, Private, 68898, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 93235, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+38, Private, 278924, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 44, United-States, <=50K
+53, Self-emp-not-inc, 311020, 10th, 6, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K
+34, Private, 175878, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 543028, HS-grad, 9, Never-married, Sales, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+39, Private, 202027, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 45, United-States, >50K
+43, Private, 158926, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female, 0, 0, 50, South, <=50K
+67, Self-emp-inc, 76860, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, >50K
+81, Self-emp-not-inc, 136063, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 30, United-States, <=50K
+21, Private, 186648, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+23, Private, 257509, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K
+25, Private, 98155, Some-college, 10, Never-married, Transport-moving, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+42, Private, 274198, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 38, Mexico, <=50K
+38, Private, 97083, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 40, United-States, <=50K
+64, ?, 29825, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 5, United-States, <=50K
+32, Private, 262153, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 214738, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+51, Private, 138022, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K
+22, Private, 91842, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 42, United-States, <=50K
+33, Private, 373662, 1st-4th, 2, Married-spouse-absent, Priv-house-serv, Not-in-family, White, Female, 0, 0, 40, Guatemala, <=50K
+42, Private, 162003, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K
+19, ?, 52114, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 10, United-States, <=50K
+51, Local-gov, 241843, Preschool, 1, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 375871, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, Mexico, <=50K
+37, Private, 186934, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 3103, 0, 44, United-States, >50K
+37, Private, 176900, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 99, United-States, >50K
+47, Private, 21906, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K
+41, Private, 132222, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2415, 40, United-States, >50K
+33, Private, 143653, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 30, United-States, <=50K
+31, Private, 111567, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+31, Private, 78602, Assoc-acdm, 12, Divorced, Other-service, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K
+35, Private, 465507, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+38, Self-emp-inc, 196373, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+18, Private, 293227, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+20, Private, 241752, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+54, Local-gov, 166398, Some-college, 10, Divorced, Exec-managerial, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K
+40, Private, 184682, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+36, Self-emp-inc, 108293, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 1977, 45, United-States, >50K
+43, Private, 250802, Some-college, 10, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 35, United-States, <=50K
+44, Self-emp-not-inc, 325159, Some-college, 10, Divorced, Farming-fishing, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+44, State-gov, 174675, HS-grad, 9, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K
+43, Private, 227065, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 43, United-States, >50K
+51, Private, 269080, 7th-8th, 4, Widowed, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+18, Private, 177722, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+51, Private, 133461, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+41, Private, 239683, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 30, ?, <=50K
+44, Self-emp-inc, 398473, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 70, United-States, >50K
+33, Local-gov, 298785, 10th, 6, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+33, Self-emp-not-inc, 123424, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+42, Private, 176286, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+25, Private, 150062, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K
+32, Private, 169240, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K
+32, Private, 288273, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 70, Mexico, <=50K
+36, Private, 526968, 10th, 6, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+28, Private, 57066, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 323573, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+35, Self-emp-inc, 368825, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K
+55, Self-emp-not-inc, 189721, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 20, United-States, <=50K
+48, Private, 164966, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 40, India, >50K
+36, ?, 94954, Assoc-voc, 11, Widowed, ?, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+34, Private, 202046, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, >50K
+28, Private, 161538, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+67, Private, 105252, Bachelors, 13, Widowed, Exec-managerial, Not-in-family, White, Male, 0, 2392, 40, United-States, >50K
+37, Private, 200153, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+44, Private, 32185, HS-grad, 9, Never-married, Transport-moving, Unmarried, White, Male, 0, 0, 70, United-States, <=50K
+25, Private, 178326, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+21, Private, 255957, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 4101, 0, 40, United-States, <=50K
+40, State-gov, 188693, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, >50K
+78, Private, 182977, HS-grad, 9, Widowed, Other-service, Not-in-family, Black, Female, 2964, 0, 40, United-States, <=50K
+34, Private, 159929, HS-grad, 9, Divorced, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+49, Private, 123207, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 44, United-States, <=50K
+22, Private, 284317, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+23, ?, 184699, HS-grad, 9, Never-married, ?, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+60, Self-emp-not-inc, 154474, HS-grad, 9, Never-married, Farming-fishing, Unmarried, White, Male, 0, 0, 42, United-States, <=50K
+45, Local-gov, 318280, HS-grad, 9, Widowed, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+63, Private, 254907, Assoc-voc, 11, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+41, Private, 349221, HS-grad, 9, Never-married, Craft-repair, Own-child, Black, Female, 0, 0, 35, United-States, <=50K
+47, Private, 335973, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+44, Private, 126701, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+51, Private, 122159, Some-college, 10, Widowed, Prof-specialty, Not-in-family, White, Female, 3325, 0, 40, United-States, <=50K
+46, Private, 187370, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 1504, 40, United-States, <=50K
+41, Private, 194636, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+50, Self-emp-not-inc, 124793, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 30, United-States, <=50K
+47, Private, 192835, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, >50K
+35, Private, 290226, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+56, Private, 112840, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K
+45, Private, 89325, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+48, Federal-gov, 33109, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 58, United-States, >50K
+40, Private, 82465, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 2580, 0, 40, United-States, <=50K
+39, Self-emp-inc, 329980, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K
+20, Private, 148294, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+50, Private, 168212, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 65, United-States, >50K
+38, State-gov, 343642, HS-grad, 9, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K
+23, Local-gov, 115244, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 60, United-States, <=50K
+31, Private, 162572, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 16, United-States, <=50K
+58, Private, 356067, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+66, Private, 271567, HS-grad, 9, Separated, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+39, Self-emp-inc, 180804, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+54, Self-emp-not-inc, 123011, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 15024, 0, 52, United-States, >50K
+26, Private, 109186, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, Germany, <=50K
+51, Private, 220537, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+34, Private, 124827, Assoc-voc, 11, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+50, Private, 767403, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 3103, 0, 40, United-States, >50K
+42, Private, 118494, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 44, United-States, >50K
+38, Private, 173208, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 25, United-States, <=50K
+48, Private, 107373, 7th-8th, 4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 26973, Assoc-voc, 11, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 40, United-States, >50K
+51, Private, 191965, HS-grad, 9, Widowed, Other-service, Unmarried, White, Female, 0, 0, 32, United-States, <=50K
+22, Private, 122346, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+19, ?, 117201, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+41, Private, 198316, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, Japan, <=50K
+48, Local-gov, 123075, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, >50K
+42, Private, 209370, HS-grad, 9, Separated, Sales, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+34, Private, 33117, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 129042, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+56, Private, 169133, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 50, Yugoslavia, <=50K
+30, Private, 201624, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Black, Male, 0, 0, 45, ?, <=50K
+45, Private, 368561, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K
+48, Private, 207848, 10th, 6, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K
+48, Self-emp-inc, 138370, Masters, 14, Married-spouse-absent, Sales, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 50, India, <=50K
+31, Private, 93106, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+20, State-gov, 223515, Assoc-acdm, 12, Never-married, Other-service, Own-child, White, Male, 0, 1719, 20, United-States, <=50K
+27, Private, 389713, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 206365, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+76, ?, 431192, 7th-8th, 4, Widowed, ?, Not-in-family, White, Male, 0, 0, 2, United-States, <=50K
+19, ?, 241616, HS-grad, 9, Never-married, ?, Unmarried, White, Male, 0, 2001, 40, United-States, <=50K
+66, Self-emp-inc, 150726, 9th, 5, Married-civ-spouse, Exec-managerial, Husband, White, Male, 1409, 0, 1, ?, <=50K
+37, Private, 123785, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 75, United-States, <=50K
+34, Private, 289984, HS-grad, 9, Divorced, Priv-house-serv, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K
+34, ?, 164309, 11th, 7, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 8, United-States, <=50K
+90, Private, 137018, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+23, Private, 137994, Some-college, 10, Never-married, Machine-op-inspct, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+43, Private, 341204, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+44, Private, 167005, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 60, United-States, >50K
+24, Private, 34446, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 37, United-States, <=50K
+28, Private, 187160, Prof-school, 15, Divorced, Prof-specialty, Unmarried, White, Male, 0, 0, 55, United-States, <=50K
+64, ?, 196288, Assoc-acdm, 12, Never-married, ?, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+23, Private, 217961, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 74631, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+36, Private, 156667, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 50, United-States, >50K
+61, Private, 125155, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+53, Self-emp-not-inc, 263925, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, Canada, >50K
+30, Private, 296453, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 7298, 0, 40, United-States, >50K
+52, Self-emp-not-inc, 44728, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K
+38, Private, 193026, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Iran, <=50K
+32, Private, 87643, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+30, Self-emp-not-inc, 106742, 12th, 8, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 75, United-States, <=50K
+41, Private, 302122, Assoc-voc, 11, Divorced, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+49, Local-gov, 193960, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 40, United-States, >50K
+45, Private, 185385, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 47, United-States, >50K
+43, Self-emp-not-inc, 277647, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 35, United-States, <=50K
+61, Private, 128848, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 3471, 0, 40, United-States, <=50K
+54, Private, 377701, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 32, Mexico, <=50K
+34, Private, 157886, Assoc-acdm, 12, Separated, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+49, Private, 175958, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 80, United-States, >50K
+38, Private, 223004, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 199352, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 80, United-States, >50K
+36, Private, 29984, 12th, 8, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 181651, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K
+36, Private, 117312, Assoc-acdm, 12, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K
+22, Local-gov, 34029, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+38, Private, 132879, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1902, 40, United-States, >50K
+37, Private, 215310, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K
+48, State-gov, 55863, Doctorate, 16, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1902, 46, United-States, >50K
+17, Private, 220384, 11th, 7, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 15, United-States, <=50K
+19, Self-emp-not-inc, 36012, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+27, Private, 137645, Bachelors, 13, Never-married, Sales, Not-in-family, Black, Female, 0, 1590, 40, United-States, <=50K
+22, Private, 191342, Bachelors, 13, Never-married, Sales, Own-child, Asian-Pac-Islander, Male, 0, 0, 50, Taiwan, <=50K
+49, Private, 31339, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+43, State-gov, 227910, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K
+43, Private, 173728, Bachelors, 13, Separated, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+19, Local-gov, 167816, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+58, Self-emp-not-inc, 81642, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K
+41, Local-gov, 195258, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K
+31, Private, 232475, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 241259, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 118161, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 201954, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+42, Private, 150533, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 52, United-States, >50K
+38, Private, 412296, HS-grad, 9, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 28, United-States, <=50K
+41, Federal-gov, 133060, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+44, Self-emp-not-inc, 120539, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, >50K
+31, Private, 196025, Doctorate, 16, Married-spouse-absent, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 60, China, <=50K
+34, Private, 107793, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 163870, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+22, Self-emp-not-inc, 361280, Bachelors, 13, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Male, 0, 0, 20, India, <=50K
+62, Private, 92178, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+19, ?, 80710, HS-grad, 9, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+29, Self-emp-inc, 260729, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 1977, 25, United-States, >50K
+43, Private, 182254, Some-college, 10, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+68, ?, 140282, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 8, United-States, <=50K
+45, Self-emp-inc, 149865, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 60, United-States, >50K
+39, Self-emp-inc, 218184, 9th, 5, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1651, 40, Mexico, <=50K
+41, Private, 118619, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 50, United-States, <=50K
+34, Self-emp-not-inc, 196791, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 25, United-States, >50K
+34, Local-gov, 167999, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 33, United-States, <=50K
+31, Private, 51259, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 47, United-States, <=50K
+29, Private, 131088, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 25, United-States, <=50K
+41, Private, 118212, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 3103, 0, 40, United-States, >50K
+41, Private, 293791, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 55, United-States, <=50K
+35, Self-emp-inc, 289430, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, Mexico, >50K
+33, Private, 35378, Bachelors, 13, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 45, United-States, >50K
+37, State-gov, 60227, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K
+69, Private, 168139, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, <=50K
+34, Private, 290763, HS-grad, 9, Divorced, Handlers-cleaners, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+60, Self-emp-inc, 226355, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 2415, 70, ?, >50K
+36, Private, 51100, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+41, Private, 227644, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K
+58, Local-gov, 205267, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K
+53, Private, 288020, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Japan, <=50K
+29, Private, 140863, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K
+45, Federal-gov, 170915, HS-grad, 9, Divorced, Tech-support, Not-in-family, White, Female, 4865, 0, 40, United-States, <=50K
+34, State-gov, 50178, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 38, United-States, <=50K
+36, Private, 112497, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K
+48, Private, 95244, Some-college, 10, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K
+20, Private, 117606, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+35, Private, 89508, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K
+63, Federal-gov, 124244, HS-grad, 9, Widowed, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+41, Self-emp-not-inc, 154374, Some-college, 10, Divorced, Other-service, Unmarried, White, Male, 0, 0, 45, United-States, <=50K
+28, Private, 294936, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K
+30, Private, 347132, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+34, ?, 181934, HS-grad, 9, Divorced, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+31, Private, 316672, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K
+37, Private, 189382, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 38, United-States, <=50K
+42, ?, 184018, Some-college, 10, Divorced, ?, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 184307, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, Jamaica, >50K
+46, Self-emp-not-inc, 246212, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+35, Federal-gov, 250504, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 60, United-States, >50K
+27, Private, 138705, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 53, United-States, <=50K
+41, Private, 328447, 1st-4th, 2, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, Mexico, <=50K
+19, Private, 194608, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+20, Private, 230891, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+59, Federal-gov, 212448, HS-grad, 9, Widowed, Sales, Unmarried, White, Female, 0, 0, 40, Germany, <=50K
+40, Private, 214010, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 37, United-States, <=50K
+56, Self-emp-not-inc, 200235, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K
+33, Private, 354573, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 44, United-States, >50K
+30, Self-emp-inc, 205733, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K
+46, Private, 185041, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, <=50K
+61, Self-emp-inc, 84409, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 35, United-States, >50K
+50, Self-emp-inc, 293196, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 40, United-States, >50K
+25, Private, 241626, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+40, Private, 520586, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 39, United-States, <=50K
+24, ?, 35633, Some-college, 10, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, ?, <=50K
+51, Private, 302847, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 54, United-States, <=50K
+43, State-gov, 165309, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 117529, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 54, Mexico, <=50K
+46, Private, 106092, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+28, State-gov, 445824, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 50, United-States, >50K
+26, Private, 227332, Bachelors, 13, Never-married, Transport-moving, Unmarried, Asian-Pac-Islander, Male, 0, 0, 40, ?, <=50K
+20, Private, 275691, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 28, United-States, <=50K
+44, Private, 193459, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 3411, 0, 40, United-States, <=50K
+51, Private, 284329, HS-grad, 9, Widowed, Transport-moving, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 114691, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K
+54, Private, 96062, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K
+50, Private, 133963, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1977, 40, United-States, >50K
+33, Private, 178506, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+65, Private, 350498, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 10605, 0, 20, United-States, >50K
+22, ?, 131573, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 8, United-States, <=50K
+88, Self-emp-not-inc, 206291, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 182302, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+51, Private, 241346, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 43, United-States, <=50K
+50, Private, 157043, 11th, 7, Divorced, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+25, Private, 404616, Masters, 14, Married-civ-spouse, Farming-fishing, Not-in-family, White, Male, 0, 0, 99, United-States, >50K
+20, Private, 411862, Assoc-voc, 11, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+47, Private, 183013, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+58, ?, 169982, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, >50K
+22, Private, 188544, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+50, State-gov, 356619, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 48, United-States, >50K
+47, Private, 45857, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+24, Local-gov, 289886, 11th, 7, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 45, United-States, <=50K
+50, ?, 146015, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, >50K
+40, Private, 216237, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, >50K
+36, Private, 416745, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 202952, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+44, Private, 167725, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+51, ?, 165637, Masters, 14, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+59, Federal-gov, 43280, Some-college, 10, Never-married, Exec-managerial, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+65, Private, 118779, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 30, United-States, <=50K
+24, State-gov, 191269, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 65, United-States, <=50K
+27, Local-gov, 247507, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+51, Private, 239155, Assoc-voc, 11, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+48, Private, 182862, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+39, Private, 33886, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K
+28, Private, 444304, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K
+19, Private, 187161, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+49, Local-gov, 116892, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+51, Local-gov, 176813, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K
+59, Private, 151616, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, <=50K
+18, Private, 240747, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, Dominican-Republic, <=50K
+50, Private, 75472, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 4386, 0, 40, ?, <=50K
+45, Federal-gov, 320818, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 80, United-States, >50K
+30, Local-gov, 235271, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+37, Private, 166497, Bachelors, 13, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+44, Private, 344060, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+33, Private, 221196, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+61, Self-emp-inc, 113544, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+61, Local-gov, 321117, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 79619, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 42, United-States, >50K
+22, ?, 42004, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+36, Private, 135289, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, <=50K
+44, Self-emp-inc, 320984, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 5178, 0, 60, United-States, >50K
+37, Private, 203070, Some-college, 10, Separated, Adm-clerical, Own-child, White, Male, 0, 0, 62, United-States, <=50K
+31, Private, 32406, Some-college, 10, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 20, United-States, <=50K
+54, Private, 99185, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 45, United-States, >50K
+20, Private, 205839, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 16, United-States, <=50K
+63, ?, 150389, Bachelors, 13, Widowed, ?, Not-in-family, White, Female, 0, 0, 40, United-States, >50K
+48, Self-emp-not-inc, 243631, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male, 7688, 0, 40, United-States, >50K
+33, ?, 163003, HS-grad, 9, Divorced, ?, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 41, China, <=50K
+31, Private, 231263, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 4650, 0, 45, United-States, <=50K
+38, Private, 200818, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+45, Self-emp-not-inc, 247379, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+48, Private, 349151, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+53, Private, 22154, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+55, Private, 176317, HS-grad, 9, Widowed, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+38, Private, 22245, Masters, 14, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 72, ?, >50K
+29, Private, 236436, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+36, Private, 354078, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K
+42, Self-emp-not-inc, 166813, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K
+50, Private, 358740, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, England, <=50K
+75, Self-emp-not-inc, 208426, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, <=50K
+46, Private, 265266, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 40, United-States, >50K
+52, Federal-gov, 31838, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+27, Private, 175034, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+43, Private, 413297, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+31, Private, 106347, 11th, 7, Separated, Other-service, Not-in-family, Black, Female, 0, 0, 42, United-States, <=50K
+23, Private, 174754, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+34, Private, 441454, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K
+41, Self-emp-not-inc, 209344, HS-grad, 9, Married-civ-spouse, Sales, Other-relative, White, Female, 0, 0, 40, Cuba, <=50K
+31, Private, 185732, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+42, Private, 65372, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+35, Private, 33975, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, >50K
+55, Private, 326297, HS-grad, 9, Separated, Adm-clerical, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K
+36, State-gov, 194630, HS-grad, 9, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+65, Self-emp-not-inc, 167414, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 59, United-States, >50K
+38, Local-gov, 165799, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 12, United-States, <=50K
+62, Private, 192866, Some-college, 10, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+54, Self-emp-inc, 166459, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 60, United-States, >50K
+49, Private, 148995, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 190040, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K
+32, Private, 209432, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+51, Self-emp-inc, 229465, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K
+48, Self-emp-not-inc, 397466, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K
+30, Private, 283767, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, ?, <=50K
+52, Federal-gov, 202452, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 43, United-States, <=50K
+28, Self-emp-not-inc, 218555, Some-college, 10, Never-married, Transport-moving, Not-in-family, White, Male, 0, 1762, 40, United-States, <=50K
+29, Private, 128604, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K
+38, Private, 65466, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+57, Private, 141326, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+43, Federal-gov, 369468, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+37, State-gov, 136137, Some-college, 10, Separated, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 236770, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+53, Private, 89534, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 48, United-States, >50K
+69, ?, 195779, Assoc-voc, 11, Widowed, ?, Not-in-family, White, Female, 0, 0, 1, United-States, <=50K
+73, Private, 29778, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 37, United-States, <=50K
+22, Self-emp-inc, 153516, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+31, Private, 163594, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+38, Private, 189623, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1887, 40, United-States, >50K
+50, Self-emp-not-inc, 343748, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K
+37, Private, 387430, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 37, United-States, <=50K
+44, Local-gov, 409505, Bachelors, 13, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+47, Private, 200734, Bachelors, 13, Never-married, Exec-managerial, Unmarried, Black, Female, 0, 0, 45, United-States, <=50K
+27, Private, 115831, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 150296, Assoc-acdm, 12, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 80, United-States, <=50K
+25, Private, 323545, HS-grad, 9, Never-married, Tech-support, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+20, Private, 232577, Some-college, 10, Never-married, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+51, Local-gov, 152754, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+46, Private, 129007, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1977, 40, United-States, >50K
+67, Private, 171584, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 6514, 0, 7, United-States, >50K
+47, Private, 386136, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 35, United-States, <=50K
+42, Private, 342865, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+52, Private, 186785, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 1876, 50, United-States, <=50K
+42, Federal-gov, 158926, Assoc-acdm, 12, Divorced, Prof-specialty, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, >50K
+65, ?, 36039, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, >50K
+21, Private, 164019, Some-college, 10, Never-married, Farming-fishing, Own-child, Black, Male, 0, 0, 10, United-States, <=50K
+50, Private, 88926, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 5178, 0, 40, United-States, >50K
+46, Private, 188861, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+47, Self-emp-not-inc, 370119, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 50, United-States, >50K
+57, Private, 182062, 10th, 6, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 37238, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+50, Private, 421132, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+58, ?, 178660, 12th, 8, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+63, Self-emp-not-inc, 795830, 1st-4th, 2, Widowed, Other-service, Unmarried, White, Female, 0, 0, 30, El-Salvador, <=50K
+39, Private, 278403, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 65, United-States, <=50K
+46, Private, 279661, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 35, United-States, <=50K
+36, Private, 113397, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 280093, 5th-6th, 3, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1628, 50, United-States, <=50K
+21, Private, 236696, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 57, United-States, <=50K
+41, Private, 265266, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K
+44, Local-gov, 34935, Some-college, 10, Never-married, Other-service, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+22, Private, 58222, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+29, Federal-gov, 301010, Some-college, 10, Never-married, Armed-Forces, Not-in-family, Black, Male, 0, 0, 60, United-States, <=50K
+29, Private, 419721, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, Japan, <=50K
+58, Self-emp-inc, 186791, Some-college, 10, Married-civ-spouse, Transport-moving, Wife, White, Female, 0, 0, 40, United-States, >50K
+36, Self-emp-not-inc, 180686, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K
+30, Private, 209103, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 48, United-States, <=50K
+37, Private, 32668, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 43, United-States, >50K
+29, Private, 256956, Assoc-voc, 11, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 202203, 5th-6th, 3, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, Mexico, <=50K
+43, Private, 85995, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K
+49, Private, 125421, HS-grad, 9, Married-civ-spouse, Craft-repair, Wife, White, Female, 0, 0, 40, United-States, >50K
+45, Federal-gov, 283037, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 192932, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+20, ?, 244689, Some-college, 10, Never-married, ?, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K
+51, Private, 179646, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+32, Private, 509350, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 50, Canada, >50K
+24, Private, 96279, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+35, Private, 119098, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 40, United-States, >50K
+35, ?, 327120, Assoc-acdm, 12, Never-married, ?, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K
+41, State-gov, 144928, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+48, Private, 55237, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K
+61, Local-gov, 101265, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 1471, 0, 35, United-States, <=50K
+20, Private, 114874, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+27, Private, 190525, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, >50K
+55, Private, 121912, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 24, United-States, >50K
+39, Private, 83893, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+17, ?, 138507, 10th, 6, Never-married, ?, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+47, Private, 256522, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, ?, <=50K
+52, Private, 168381, HS-grad, 9, Widowed, Other-service, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, India, >50K
+24, Private, 293579, HS-grad, 9, Never-married, Sales, Own-child, Black, Female, 0, 0, 20, United-States, <=50K
+29, Private, 285290, 11th, 7, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+25, Private, 188488, HS-grad, 9, Never-married, Machine-op-inspct, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 324469, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+23, Private, 275244, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 35, United-States, <=50K
+57, Private, 265099, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K
+51, Private, 146767, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+33, Private, 40681, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 3674, 0, 16, United-States, <=50K
+39, Private, 174938, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 240124, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+71, Private, 269708, Bachelors, 13, Divorced, Tech-support, Own-child, White, Female, 2329, 0, 16, United-States, <=50K
+38, State-gov, 34180, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+28, State-gov, 225904, Prof-school, 15, Never-married, Prof-specialty, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+57, Private, 89392, Masters, 14, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+47, Private, 46857, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+59, State-gov, 105363, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 195105, HS-grad, 9, Never-married, Sales, Not-in-family, Other, Male, 0, 0, 40, United-States, <=50K
+35, Private, 184117, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+61, Self-emp-inc, 134768, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, Germany, >50K
+17, ?, 145886, 11th, 7, Never-married, ?, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+36, Private, 153078, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 60, ?, >50K
+62, ?, 225652, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 3411, 0, 50, United-States, <=50K
+34, Private, 467108, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, >50K
+32, Self-emp-inc, 199765, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 50, United-States, >50K
+42, Private, 173938, HS-grad, 9, Separated, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+39, Private, 191161, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+58, Private, 132606, 5th-6th, 3, Divorced, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+61, Self-emp-not-inc, 30073, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 1848, 60, United-States, >50K
+40, Private, 155190, 10th, 6, Never-married, Craft-repair, Other-relative, Black, Male, 0, 0, 55, United-States, <=50K
+31, Private, 42900, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 37, United-States, <=50K
+36, Private, 191161, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+23, Private, 181820, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 105974, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 41, United-States, <=50K
+52, Private, 146378, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+22, Private, 103440, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K
+51, Private, 203435, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, Italy, <=50K
+31, Federal-gov, 168312, Assoc-voc, 11, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+49, Self-emp-inc, 257764, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+49, Private, 171301, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female, 0, 0, 40, United-States, <=50K
+53, Federal-gov, 225339, Some-college, 10, Widowed, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+52, Private, 152234, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 99999, 0, 40, Japan, >50K
+20, Private, 444554, 10th, 6, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 403788, Assoc-acdm, 12, Never-married, Other-service, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+61, ?, 190997, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 6, United-States, <=50K
+43, Private, 221550, Masters, 14, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, Poland, <=50K
+46, Self-emp-inc, 98929, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 52, United-States, <=50K
+43, Local-gov, 169203, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+41, Private, 102332, HS-grad, 9, Divorced, Sales, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+44, Self-emp-not-inc, 230684, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 55, United-States, <=50K
+54, Private, 449257, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K
+65, Private, 198766, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 20051, 0, 40, United-States, >50K
+32, Private, 97429, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, Canada, <=50K
+25, Private, 208999, Some-college, 10, Separated, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 37072, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+25, Local-gov, 163101, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+19, Private, 119075, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 50, United-States, <=50K
+37, Self-emp-not-inc, 137314, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K
+45, Private, 127303, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 45, United-States, <=50K
+37, Private, 349116, HS-grad, 9, Never-married, Sales, Not-in-family, Black, Male, 0, 0, 44, United-States, <=50K
+40, Self-emp-not-inc, 266324, Some-college, 10, Divorced, Exec-managerial, Other-relative, White, Male, 0, 1564, 70, Iran, >50K
+19, ?, 194095, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+17, Private, 46496, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 5, United-States, <=50K
+27, Private, 29904, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+40, Local-gov, 289403, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 1887, 40, ?, >50K
+59, Private, 226922, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 1762, 30, United-States, <=50K
+19, Federal-gov, 234151, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+43, Private, 238287, 10th, 6, Never-married, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+42, Private, 230624, 10th, 6, Never-married, Transport-moving, Unmarried, White, Male, 0, 0, 40, United-States, >50K
+54, Private, 398212, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 5013, 0, 40, United-States, <=50K
+54, Self-emp-not-inc, 114758, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K
+51, Private, 246519, 10th, 6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 2105, 0, 45, United-States, <=50K
+50, Private, 137815, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, >50K
+40, Private, 260696, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+55, Private, 325007, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 25, United-States, <=50K
+50, Private, 113176, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+31, Private, 66815, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+42, ?, 51795, HS-grad, 9, Divorced, ?, Unmarried, Black, Female, 0, 0, 32, United-States, <=50K
+24, Private, 241523, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 45, United-States, >50K
+30, Private, 30226, 11th, 7, Divorced, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+39, Local-gov, 352628, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Wife, White, Female, 0, 0, 50, United-States, >50K
+37, Private, 143912, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+33, Private, 130021, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+48, Private, 329778, HS-grad, 9, Widowed, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+43, Self-emp-inc, 196945, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 78, Thailand, <=50K
+39, Private, 24342, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+53, Private, 34368, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+52, Self-emp-not-inc, 173839, 10th, 6, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K
+28, State-gov, 73211, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 20, United-States, <=50K
+32, Private, 86723, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 52, United-States, <=50K
+31, Private, 179186, Bachelors, 13, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 90, United-States, >50K
+31, Private, 127610, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K
+47, Private, 115070, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+19, ?, 172582, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 50, United-States, <=50K
+40, Private, 256202, Assoc-voc, 11, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+40, Private, 202872, Assoc-acdm, 12, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 45, United-States, <=50K
+41, Private, 184102, 11th, 7, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+53, Federal-gov, 130703, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+46, Private, 134727, 11th, 7, Divorced, Machine-op-inspct, Unmarried, Amer-Indian-Eskimo, Male, 0, 0, 43, Germany, <=50K
+45, Self-emp-inc, 36228, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 4386, 0, 35, United-States, >50K
+39, Private, 297847, 9th, 5, Married-civ-spouse, Other-service, Wife, Black, Female, 3411, 0, 34, United-States, <=50K
+19, Private, 213644, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+57, Private, 173796, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1887, 40, United-States, >50K
+49, Private, 147322, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, Peru, <=50K
+59, Private, 296253, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+32, Private, 180871, Assoc-voc, 11, Divorced, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, >50K
+18, ?, 169882, Some-college, 10, Never-married, ?, Own-child, White, Female, 594, 0, 15, United-States, <=50K
+35, State-gov, 211115, Some-college, 10, Never-married, Protective-serv, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+58, Self-emp-inc, 183870, 10th, 6, Married-civ-spouse, Transport-moving, Wife, White, Female, 0, 0, 40, United-States, <=50K
+28, Private, 441620, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 43, Mexico, <=50K
+36, Federal-gov, 218542, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K
+41, Self-emp-not-inc, 141327, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 35, United-States, <=50K
+47, Private, 67716, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+50, Self-emp-inc, 175339, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1672, 60, United-States, <=50K
+61, ?, 347089, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 16, United-States, <=50K
+36, Private, 336595, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+38, Private, 27997, Assoc-voc, 11, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+56, Self-emp-not-inc, 145574, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 1902, 60, United-States, >50K
+50, Private, 30447, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K
+45, Self-emp-not-inc, 256866, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 5013, 0, 40, United-States, <=50K
+44, Self-emp-not-inc, 120837, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 66, United-States, <=50K
+51, Private, 185283, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+44, Self-emp-inc, 229466, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+25, Private, 298225, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+60, Private, 185749, 11th, 7, Widowed, Transport-moving, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K
+17, ?, 333100, 10th, 6, Never-married, ?, Own-child, White, Male, 1055, 0, 30, United-States, <=50K
+49, Self-emp-inc, 125892, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+46, Private, 563883, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 60, United-States, >50K
+56, Private, 311249, HS-grad, 9, Widowed, Adm-clerical, Unmarried, Black, Female, 0, 0, 38, United-States, <=50K
+25, Private, 221757, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 3325, 0, 45, United-States, <=50K
+22, Private, 310152, Some-college, 10, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+76, ?, 211453, HS-grad, 9, Widowed, ?, Not-in-family, Black, Female, 0, 0, 2, United-States, <=50K
+41, Self-emp-inc, 94113, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K
+48, Self-emp-inc, 192945, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 40, United-States, >50K
+46, Private, 161508, 10th, 6, Never-married, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+30, Private, 177675, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+39, Private, 51100, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K
+40, Private, 100584, 10th, 6, Divorced, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K
+70, Federal-gov, 163003, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+35, Private, 67728, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 2051, 45, United-States, <=50K
+49, Private, 101320, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 75, United-States, <=50K
+24, Private, 42706, Assoc-voc, 11, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+40, Private, 228535, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 36, United-States, >50K
+61, Private, 120939, Prof-school, 15, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 5, United-States, >50K
+25, Private, 98283, Bachelors, 13, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K
+28, Local-gov, 216481, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+69, State-gov, 208869, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 11, United-States, <=50K
+22, Private, 207940, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 36, United-States, <=50K
+47, Private, 34248, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 38, United-States, <=50K
+38, Private, 83727, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 48, United-States, <=50K
+26, Private, 183077, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+17, Private, 197850, 11th, 7, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female, 0, 0, 24, United-States, <=50K
+33, Self-emp-not-inc, 235271, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+43, Self-emp-not-inc, 35236, HS-grad, 9, Married-spouse-absent, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+58, Private, 255822, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+53, Self-emp-inc, 263925, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 99999, 0, 40, United-States, >50K
+26, Private, 256263, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K
+43, Local-gov, 293535, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 40, United-States, >50K
+31, Private, 209448, 10th, 6, Married-civ-spouse, Farming-fishing, Husband, White, Male, 2105, 0, 40, Mexico, <=50K
+30, Private, 57651, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Male, 0, 2001, 42, United-States, <=50K
+25, Private, 174592, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+57, Federal-gov, 278763, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+37, Private, 175232, Masters, 14, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 60, United-States, >50K
+32, Private, 402812, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 48, United-States, <=50K
+26, Private, 101150, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 41, United-States, <=50K
+45, Private, 103538, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+53, State-gov, 156877, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 15024, 0, 35, United-States, >50K
+27, Private, 23940, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K
+28, Self-emp-inc, 210295, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K
+32, Private, 80058, 11th, 7, Divorced, Sales, Not-in-family, White, Male, 0, 0, 43, United-States, >50K
+35, Private, 187119, Bachelors, 13, Divorced, Sales, Not-in-family, White, Female, 0, 1980, 65, United-States, <=50K
+36, Self-emp-not-inc, 105021, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K
+19, Private, 225775, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+37, Self-emp-inc, 395831, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 80, United-States, >50K
+49, Private, 50282, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Male, 3325, 0, 45, United-States, <=50K
+20, Private, 32732, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+64, Self-emp-inc, 179436, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 55, United-States, >50K
+60, ?, 290593, Masters, 14, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 123253, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 42, United-States, <=50K
+58, State-gov, 48433, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+42, Private, 245317, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K
+20, Private, 431745, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 14, United-States, <=50K
+42, State-gov, 436006, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+25, Private, 224943, Some-college, 10, Married-spouse-absent, Prof-specialty, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K
+30, Self-emp-not-inc, 167990, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 65, United-States, >50K
+37, Self-emp-inc, 217054, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, >50K
+66, Self-emp-not-inc, 298834, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K
+59, Self-emp-inc, 125000, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, England, >50K
+44, Private, 123983, Bachelors, 13, Divorced, Other-service, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, China, <=50K
+46, Private, 155489, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 58, United-States, >50K
+59, Private, 284834, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 2885, 0, 30, United-States, <=50K
+25, Private, 212495, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 1340, 40, United-States, <=50K
+17, Local-gov, 32124, 9th, 5, Never-married, Other-service, Own-child, Black, Male, 0, 0, 9, United-States, <=50K
+47, Local-gov, 246891, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K
+47, State-gov, 141483, 9th, 5, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+30, Private, 31985, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+20, Private, 170800, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+26, Local-gov, 166295, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 2339, 55, United-States, <=50K
+20, Private, 231286, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 15, United-States, <=50K
+33, Private, 159322, HS-grad, 9, Divorced, Other-service, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+48, Private, 176026, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+52, Private, 118025, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 50, United-States, >50K
+37, Private, 26898, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 12, United-States, <=50K
+47, Private, 232628, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+40, Private, 85995, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K
+48, Private, 125421, Masters, 14, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, >50K
+49, Private, 245305, 10th, 6, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 42, United-States, >50K
+50, Private, 73493, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+30, Private, 197058, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+34, Private, 122116, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+43, Private, 75742, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 214731, 10th, 6, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, United-States, <=50K
+35, Private, 265954, HS-grad, 9, Separated, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+26, State-gov, 197156, HS-grad, 9, Divorced, Adm-clerical, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+62, Private, 162245, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1628, 70, United-States, <=50K
+39, Local-gov, 203070, HS-grad, 9, Separated, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+59, Local-gov, 165695, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+69, ?, 473040, 5th-6th, 3, Divorced, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 168107, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+17, Private, 163494, 10th, 6, Never-married, Sales, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+38, Private, 180342, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+41, Private, 122381, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1887, 50, United-States, >50K
+27, Private, 148069, 10th, 6, Never-married, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+23, Private, 200973, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+17, Private, 130806, 10th, 6, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 24, United-States, <=50K
+56, Private, 117148, 7th-8th, 4, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+24, Private, 213977, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+62, Private, 134768, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 40, ?, >50K
+44, Private, 139338, 12th, 8, Divorced, Transport-moving, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K
+23, Private, 315877, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+41, Self-emp-not-inc, 195124, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, ?, <=50K
+25, Private, 352057, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K
+21, Private, 236684, Some-college, 10, Never-married, Other-service, Other-relative, Black, Female, 0, 0, 8, United-States, <=50K
+18, Private, 208447, 12th, 8, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 6, United-States, <=50K
+45, Private, 149640, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+75, ?, 111177, Bachelors, 13, Widowed, ?, Not-in-family, White, Female, 25124, 0, 16, United-States, >50K
+51, Private, 154342, 7th-8th, 4, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K
+42, Federal-gov, 141459, HS-grad, 9, Separated, Other-service, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K
+47, Private, 111797, Some-college, 10, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 35, Outlying-US(Guam-USVI-etc), <=50K
+29, Private, 111900, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 78707, 11th, 7, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+43, Local-gov, 160574, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+20, ?, 174714, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 16, United-States, <=50K
+19, ?, 62534, Bachelors, 13, Never-married, ?, Own-child, Black, Female, 0, 0, 40, Jamaica, <=50K
+44, Private, 216907, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1848, 40, United-States, >50K
+24, Private, 198148, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+19, Private, 124265, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+49, ?, 261059, 10th, 6, Separated, ?, Own-child, White, Male, 2176, 0, 40, United-States, <=50K
+52, Private, 208137, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+38, Self-emp-not-inc, 257250, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 52, United-States, <=50K
+24, State-gov, 147253, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+32, Local-gov, 244268, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+72, ?, 213255, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 8, United-States, <=50K
+26, Private, 266912, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+31, Private, 169104, Bachelors, 13, Never-married, Sales, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, ?, <=50K
+29, Private, 200511, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K
+39, Private, 128715, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Male, 10520, 0, 40, United-States, >50K
+48, Self-emp-not-inc, 65535, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K
+40, Private, 103395, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K
+51, Private, 71046, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 45, Scotland, <=50K
+28, Self-emp-not-inc, 125442, HS-grad, 9, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 169188, HS-grad, 9, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+23, Private, 121471, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+65, Private, 207281, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 16, United-States, <=50K
+26, Local-gov, 46097, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+20, ?, 206671, Some-college, 10, Never-married, ?, Own-child, White, Male, 1055, 0, 50, United-States, <=50K
+55, Private, 98361, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 50, ?, >50K
+38, Self-emp-not-inc, 322143, Bachelors, 13, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 10, United-States, <=50K
+33, Private, 149184, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 60, United-States, >50K
+33, Local-gov, 119829, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 60, United-States, <=50K
+37, Private, 910398, Bachelors, 13, Never-married, Sales, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+19, Private, 176570, 11th, 7, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 60, United-States, <=50K
+24, Private, 216129, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+30, Private, 27207, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+57, State-gov, 68830, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+22, State-gov, 178818, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+57, Private, 236944, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, >50K
+46, State-gov, 273771, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K
+67, Private, 318533, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 35, United-States, <=50K
+35, ?, 451940, HS-grad, 9, Never-married, ?, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+47, Private, 102318, HS-grad, 9, Separated, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+39, Private, 379350, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+50, Private, 21095, Some-college, 10, Divorced, Other-service, Unmarried, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K
+58, Self-emp-not-inc, 211547, 12th, 8, Divorced, Sales, Not-in-family, White, Female, 0, 0, 52, United-States, <=50K
+36, Private, 85272, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 30, United-States, >50K
+45, Private, 46406, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 36, England, >50K
+54, Private, 53833, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K
+26, Private, 161007, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+60, Private, 53707, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+46, Private, 370119, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 60, United-States, >50K
+26, Private, 310907, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 35, United-States, <=50K
+32, Private, 375833, 11th, 7, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+38, Local-gov, 107513, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+48, Self-emp-not-inc, 58683, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 70, United-States, >50K
+44, Self-emp-not-inc, 179557, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 45, United-States, >50K
+37, Private, 70240, HS-grad, 9, Never-married, Other-service, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K
+44, Private, 147206, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 175548, HS-grad, 9, Never-married, Other-service, Not-in-family, Other, Female, 0, 0, 35, United-States, <=50K
+61, Self-emp-not-inc, 163174, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, >50K
+51, Private, 126010, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+52, Private, 147876, Bachelors, 13, Married-civ-spouse, Sales, Wife, White, Female, 15024, 0, 60, United-States, >50K
+45, Private, 428350, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 1740, 40, United-States, <=50K
+36, ?, 200904, Assoc-acdm, 12, Married-civ-spouse, ?, Wife, Black, Female, 0, 0, 21, Haiti, <=50K
+39, Private, 328466, 11th, 7, Married-civ-spouse, Other-service, Husband, White, Male, 2407, 0, 70, Mexico, <=50K
+67, Local-gov, 258973, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K
+40, State-gov, 345969, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+27, Private, 127796, 5th-6th, 3, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 35, Mexico, <=50K
+37, Private, 405723, 1st-4th, 2, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+57, Private, 175942, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+27, Private, 284196, 10th, 6, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+28, Private, 89718, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 2202, 0, 48, United-States, <=50K
+34, Self-emp-inc, 175761, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K
+54, Private, 206369, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 5178, 0, 50, United-States, >50K
+52, Private, 158993, HS-grad, 9, Divorced, Other-service, Other-relative, Black, Female, 0, 0, 38, United-States, <=50K
+42, Private, 285066, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K
+48, Private, 126754, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 40, United-States, >50K
+65, State-gov, 209280, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 6514, 0, 35, United-States, >50K
+55, Self-emp-not-inc, 52888, Prof-school, 15, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 10, United-States, <=50K
+71, Self-emp-inc, 133821, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 20, United-States, >50K
+33, Private, 240763, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+30, Private, 39054, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 119272, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K
+59, Private, 143372, 10th, 6, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+19, Private, 323421, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+36, Self-emp-not-inc, 136028, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 30, United-States, <=50K
+26, Self-emp-not-inc, 163189, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+34, Local-gov, 202729, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K
+41, Private, 421871, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, >50K
+44, Private, 120277, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 50, Italy, >50K
+26, ?, 211798, HS-grad, 9, Separated, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+47, Private, 198901, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, <=50K
+18, Private, 214617, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 16, United-States, <=50K
+55, Self-emp-not-inc, 179715, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 18, United-States, <=50K
+49, Local-gov, 107231, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 2002, 40, United-States, <=50K
+44, Private, 110355, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+43, Private, 184378, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+62, Private, 273454, 7th-8th, 4, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, Cuba, <=50K
+44, Private, 443040, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+39, ?, 71701, HS-grad, 9, Divorced, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+50, Self-emp-inc, 160151, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K
+35, Private, 107991, 11th, 7, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+52, Private, 94391, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+46, Private, 99835, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K
+44, Private, 43711, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 40, United-States, >50K
+43, Private, 83756, Some-college, 10, Never-married, Exec-managerial, Unmarried, White, Male, 0, 0, 50, United-States, <=50K
+51, Private, 120914, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 2961, 0, 40, United-States, <=50K
+20, Private, 180052, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+47, Private, 170846, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, Italy, >50K
+43, Private, 37937, Masters, 14, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 50, United-States, <=50K
+64, ?, 168340, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, ?, >50K
+24, Private, 38455, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+27, Federal-gov, 128059, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+32, Private, 420895, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 166744, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 12, United-States, <=50K
+26, Private, 238768, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 60, United-States, <=50K
+43, Private, 176270, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 60, United-States, >50K
+50, Private, 140592, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, United-States, <=50K
+20, Self-emp-not-inc, 211466, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 80, United-States, <=50K
+37, Private, 188540, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 45, United-States, >50K
+43, Private, 39581, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 45, United-States, <=50K
+37, Private, 171150, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 50, United-States, >50K
+53, Private, 117496, 9th, 5, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 36, Canada, <=50K
+44, Private, 145160, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+25, Private, 28520, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+17, Private, 103851, 11th, 7, Never-married, Adm-clerical, Own-child, White, Female, 1055, 0, 20, United-States, <=50K
+19, Private, 375077, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 50, United-States, <=50K
+53, State-gov, 281590, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 15024, 0, 40, United-States, >50K
+44, Private, 151504, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K
+51, Private, 415287, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 1902, 40, United-States, >50K
+49, Private, 32212, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 43, United-States, <=50K
+35, Private, 123606, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+44, Private, 202565, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+54, Private, 177927, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K
+37, Private, 256723, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K
+18, Private, 46247, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+24, Private, 266926, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 112031, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+22, ?, 376277, Some-college, 10, Divorced, ?, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+35, Private, 168817, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+56, Private, 187487, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, >50K
+32, ?, 158784, 7th-8th, 4, Widowed, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+24, Private, 67222, Bachelors, 13, Never-married, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 45, China, <=50K
+43, Private, 201723, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 40, United-States, >50K
+73, Private, 267408, HS-grad, 9, Widowed, Sales, Other-relative, White, Female, 0, 0, 15, United-States, <=50K
+47, Federal-gov, 168191, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, ?, <=50K
+49, Private, 105444, 12th, 8, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 39, United-States, <=50K
+38, Private, 156728, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+31, Private, 148600, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+39, Private, 19914, Some-college, 10, Divorced, Adm-clerical, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K
+42, Private, 190767, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+41, Private, 233955, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 45, China, >50K
+35, Private, 30381, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K
+38, Private, 187069, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K
+31, Private, 367314, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+51, Local-gov, 101119, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 70, United-States, <=50K
+38, Private, 86551, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 0, 0, 48, United-States, >50K
+40, Local-gov, 218995, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 42, United-States, >50K
+21, Private, 57711, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+44, Private, 303521, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+55, Private, 199067, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+29, Private, 247445, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+49, Private, 186078, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 50, United-States, >50K
+31, Private, 77634, Assoc-voc, 11, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 42, United-States, <=50K
+24, Private, 180060, Masters, 14, Never-married, Exec-managerial, Own-child, White, Male, 6849, 0, 90, United-States, <=50K
+46, Private, 56482, Some-college, 10, Never-married, Exec-managerial, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+26, Private, 314177, HS-grad, 9, Never-married, Sales, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+35, Private, 239755, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K
+27, Private, 377680, Assoc-voc, 11, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+64, Self-emp-not-inc, 134960, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 35, United-States, >50K
+26, Private, 294493, Bachelors, 13, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 32616, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 1719, 16, United-States, <=50K
+45, Private, 182655, Bachelors, 13, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 45, ?, >50K
+57, Local-gov, 52267, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 72, United-States, <=50K
+30, Private, 117963, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+45, Private, 98881, 11th, 7, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 32, United-States, <=50K
+50, Private, 196963, 7th-8th, 4, Divorced, Craft-repair, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+38, Private, 166988, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+43, Self-emp-not-inc, 193459, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K
+42, Private, 182342, Some-college, 10, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K
+32, Private, 496743, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 154781, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+27, Private, 219371, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+45, Private, 99179, 11th, 7, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+40, Private, 224910, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+38, Private, 304651, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+37, Private, 349689, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+60, Private, 106850, 10th, 6, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+53, Self-emp-not-inc, 196328, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 45, United-States, >50K
+25, Private, 169323, Bachelors, 13, Married-civ-spouse, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+47, Self-emp-not-inc, 162924, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 60, Japan, <=50K
+40, Self-emp-not-inc, 34037, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K
+51, ?, 167651, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+19, Private, 197384, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 10, United-States, <=50K
+42, Private, 251795, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 50, United-States, >50K
+65, ?, 266081, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+41, Private, 165309, Bachelors, 13, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+28, Private, 215873, 10th, 6, Never-married, Machine-op-inspct, Own-child, Black, Male, 0, 0, 45, United-States, <=50K
+46, Private, 133938, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Female, 27828, 0, 50, United-States, >50K
+49, Private, 159816, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 99999, 0, 20, United-States, >50K
+24, Private, 228424, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K
+32, Private, 195576, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+71, Private, 105200, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 6767, 0, 20, United-States, <=50K
+26, Private, 167350, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 3103, 0, 40, United-States, >50K
+29, Private, 52199, HS-grad, 9, Married-spouse-absent, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+50, Private, 171338, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 50, United-States, >50K
+51, Private, 120173, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 3103, 0, 50, United-States, >50K
+17, ?, 158762, 10th, 6, Never-married, ?, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+49, Private, 169818, HS-grad, 9, Married-civ-spouse, Other-service, Wife, Black, Female, 0, 0, 40, United-States, >50K
+31, Private, 288419, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 207546, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+59, Local-gov, 147707, HS-grad, 9, Widowed, Farming-fishing, Unmarried, White, Male, 0, 2339, 40, United-States, <=50K
+17, ?, 228373, 10th, 6, Never-married, ?, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+43, Private, 193882, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 40, United-States, >50K
+38, Private, 31033, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 7298, 0, 40, United-States, >50K
+37, Private, 272950, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 183523, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+39, Private, 238415, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+31, Private, 19302, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Male, 2202, 0, 38, United-States, <=50K
+42, Local-gov, 339671, Bachelors, 13, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female, 8614, 0, 45, United-States, >50K
+35, Local-gov, 103260, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 35, United-States, >50K
+39, Private, 79331, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 15024, 0, 40, United-States, >50K
+40, Private, 135056, Assoc-acdm, 12, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+66, Private, 142723, 5th-6th, 3, Married-spouse-absent, Handlers-cleaners, Unmarried, White, Female, 0, 0, 40, Puerto-Rico, <=50K
+30, Federal-gov, 188569, 9th, 5, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K
+43, Private, 57322, Assoc-acdm, 12, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+47, Private, 178309, 9th, 5, Never-married, Other-service, Unmarried, White, Female, 0, 0, 50, United-States, <=50K
+45, Private, 166107, Masters, 14, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K
+31, Private, 53042, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, Trinadad&Tobago, <=50K
+33, Private, 155343, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 3103, 0, 40, United-States, >50K
+32, Private, 35595, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 429507, Assoc-acdm, 12, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+50, Federal-gov, 159670, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+63, Private, 151210, 7th-8th, 4, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+28, Private, 186792, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 204640, Some-college, 10, Widowed, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+52, Private, 87205, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K
+38, Self-emp-inc, 112847, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, >50K
+41, Private, 107306, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 2174, 0, 40, United-States, <=50K
+50, State-gov, 211319, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K
+59, Private, 183606, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 205390, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 49, United-States, <=50K
+73, Local-gov, 232871, 7th-8th, 4, Married-civ-spouse, Protective-serv, Husband, White, Male, 2228, 0, 10, United-States, <=50K
+52, Self-emp-inc, 101017, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 38, United-States, <=50K
+57, Private, 114495, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K
+35, Private, 183898, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 50, United-States, >50K
+51, Private, 163921, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 56, United-States, >50K
+22, Private, 311764, 11th, 7, Widowed, Sales, Own-child, Black, Female, 0, 0, 35, United-States, <=50K
+49, Private, 188330, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+22, Private, 267174, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+46, Local-gov, 36228, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1902, 40, United-States, <=50K
+48, Private, 199739, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+52, Private, 185407, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, ?, <=50K
+43, State-gov, 206139, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, >50K
+25, Private, 282063, 7th-8th, 4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+31, Private, 332379, 7th-8th, 4, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+19, Private, 418324, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 36, United-States, <=50K
+19, ?, 263338, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 45, United-States, <=50K
+51, Private, 158948, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 84, United-States, >50K
+51, Private, 221532, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 40, United-States, >50K
+22, Self-emp-not-inc, 202920, HS-grad, 9, Never-married, Prof-specialty, Unmarried, White, Female, 99999, 0, 40, Dominican-Republic, >50K
+37, Local-gov, 118909, HS-grad, 9, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K
+19, Private, 286469, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+45, Private, 191914, HS-grad, 9, Divorced, Transport-moving, Unmarried, White, Female, 0, 0, 55, United-States, <=50K
+21, State-gov, 142766, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 10, United-States, <=50K
+52, Private, 198744, HS-grad, 9, Widowed, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+46, Local-gov, 272780, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 24, United-States, <=50K
+42, State-gov, 219553, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K
+56, Private, 261232, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 64292, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+58, Private, 312131, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+70, Private, 30713, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 30, United-States, <=50K
+30, Private, 246439, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+45, Private, 338105, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K
+23, Private, 228243, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 44, United-States, <=50K
+34, Local-gov, 62463, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1579, 40, United-States, <=50K
+38, Private, 31603, Bachelors, 13, Married-civ-spouse, Craft-repair, Wife, White, Female, 0, 0, 40, United-States, <=50K
+24, Private, 165054, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+53, Private, 121618, 7th-8th, 4, Never-married, Transport-moving, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K
+45, Federal-gov, 273194, HS-grad, 9, Never-married, Transport-moving, Not-in-family, Black, Male, 3325, 0, 40, United-States, <=50K
+21, ?, 163665, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+21, Private, 538319, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, Puerto-Rico, <=50K
+34, Private, 238246, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+32, Self-emp-inc, 244665, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 5178, 0, 45, United-States, >50K
+21, Private, 131811, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+63, ?, 231777, Masters, 14, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 30, United-States, <=50K
+23, Private, 156807, 9th, 5, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 36, United-States, <=50K
+28, Private, 236861, Bachelors, 13, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 50, United-States, <=50K
+29, Self-emp-not-inc, 229842, HS-grad, 9, Never-married, Transport-moving, Unmarried, Black, Male, 0, 0, 45, United-States, <=50K
+25, Local-gov, 190057, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+44, State-gov, 55076, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K
+18, Private, 152545, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 8, United-States, <=50K
+26, Private, 153434, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 24, United-States, <=50K
+47, Local-gov, 171095, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 35, United-States, >50K
+23, Private, 239322, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+46, Private, 138999, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+61, Local-gov, 95450, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 5178, 0, 50, United-States, >50K
+25, Private, 176520, HS-grad, 9, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+38, Local-gov, 72338, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, Asian-Pac-Islander, Male, 0, 0, 54, United-States, >50K
+60, ?, 386261, Bachelors, 13, Married-spouse-absent, ?, Unmarried, Black, Female, 0, 0, 15, United-States, <=50K
+23, Private, 235722, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K
+36, Federal-gov, 128884, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K
+46, Private, 187226, 9th, 5, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K
+32, Self-emp-not-inc, 298332, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K
+40, Private, 173607, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 226756, HS-grad, 9, Never-married, Adm-clerical, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+31, Private, 157887, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 65, United-States, >50K
+32, State-gov, 171111, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 37, United-States, <=50K
+21, Private, 126314, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 10, United-States, <=50K
+63, Private, 174018, Some-college, 10, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 40, United-States, >50K
+44, Private, 144778, Some-college, 10, Separated, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, >50K
+42, Self-emp-not-inc, 201522, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K
+23, ?, 22966, Bachelors, 13, Never-married, ?, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+30, Private, 399088, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+24, Private, 282202, HS-grad, 9, Never-married, Other-service, Unmarried, White, Male, 0, 0, 40, El-Salvador, <=50K
+42, Private, 102606, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K
+44, Self-emp-not-inc, 246862, HS-grad, 9, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, Italy, >50K
+27, Federal-gov, 508336, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, Black, Male, 0, 0, 48, United-States, <=50K
+27, Local-gov, 263431, Some-college, 10, Never-married, Exec-managerial, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 235733, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+68, Private, 107910, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+55, Self-emp-not-inc, 184425, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 99, United-States, >50K
+22, Self-emp-not-inc, 143062, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, Greece, <=50K
+25, Private, 199545, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 15, United-States, <=50K
+68, Self-emp-not-inc, 197015, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 45, United-States, <=50K
+62, Private, 149617, Some-college, 10, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 16, United-States, <=50K
+26, Private, 33610, HS-grad, 9, Divorced, Other-service, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 192002, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K
+68, Private, 67791, Some-college, 10, Widowed, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+42, Local-gov, 445382, Bachelors, 13, Separated, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, >50K
+45, Private, 112283, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K
+26, Private, 157249, 11th, 7, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 109872, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, <=50K
+23, Private, 119838, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 50, United-States, <=50K
+29, Private, 149943, Some-college, 10, Never-married, Other-service, Not-in-family, Other, Male, 0, 1590, 40, ?, <=50K
+65, Without-pay, 27012, 7th-8th, 4, Widowed, Farming-fishing, Unmarried, White, Female, 0, 0, 50, United-States, <=50K
+31, Private, 91666, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+26, Private, 270276, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+39, Private, 179271, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K
+44, Private, 161819, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K
+45, Local-gov, 339681, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 1506, 0, 45, United-States, <=50K
+26, Self-emp-not-inc, 219897, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+26, Private, 91683, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 35, United-States, <=50K
+36, Private, 188834, 9th, 5, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K
+38, Private, 187046, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+39, Private, 191807, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, White, Male, 0, 0, 48, United-States, <=50K
+52, Self-emp-inc, 179951, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+39, Private, 324420, 1st-4th, 2, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, Mexico, <=50K
+41, Self-emp-not-inc, 66632, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+42, Local-gov, 121718, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 60, United-States, >50K
+47, Private, 162034, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 70, United-States, <=50K
+28, Local-gov, 218990, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 46, United-States, <=50K
+25, Local-gov, 125863, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+35, Private, 225330, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+32, Private, 120426, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+38, Private, 119741, Masters, 14, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, >50K
+44, Private, 32000, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 18, United-States, >50K
+21, ?, 124242, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+27, Private, 278581, Bachelors, 13, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+30, Private, 230224, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 55, United-States, >50K
+30, Private, 204374, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 1741, 48, United-States, <=50K
+45, Private, 188386, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 1628, 45, United-States, <=50K
+20, Private, 164922, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+57, Private, 195176, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 80, United-States, <=50K
+43, Private, 166740, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K
+50, ?, 156008, 11th, 7, Married-civ-spouse, ?, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+28, Private, 162551, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Other-relative, Asian-Pac-Islander, Female, 0, 0, 48, China, <=50K
+25, Private, 211231, HS-grad, 9, Married-civ-spouse, Tech-support, Other-relative, White, Female, 0, 0, 48, United-States, >50K
+25, Private, 169990, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+90, Private, 221832, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K
+38, Local-gov, 255454, Bachelors, 13, Separated, Prof-specialty, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K
+35, Private, 28160, Bachelors, 13, Married-spouse-absent, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+50, State-gov, 159219, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, Canada, >50K
+26, Local-gov, 103148, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+39, Private, 165186, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 45, United-States, <=50K
+56, Private, 31782, 10th, 6, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+24, Local-gov, 249101, HS-grad, 9, Divorced, Protective-serv, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+46, Private, 243190, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 7688, 0, 40, United-States, >50K
+18, Local-gov, 153405, 11th, 7, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 25, United-States, <=50K
+37, Private, 329980, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2415, 60, United-States, >50K
+57, Private, 176079, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+43, State-gov, 218542, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+29, State-gov, 303446, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 25, Nicaragua, <=50K
+40, Private, 102606, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+44, Self-emp-not-inc, 483201, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+77, Local-gov, 144608, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 6, United-States, <=50K
+30, Private, 226013, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+21, Private, 165475, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+66, Private, 263637, 10th, 6, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 201495, 11th, 7, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+68, Private, 213720, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+64, Private, 170483, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K
+26, Private, 214303, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+32, Private, 190511, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+32, Private, 242150, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 38, United-States, <=50K
+51, Local-gov, 159755, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+50, Private, 147629, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 45, United-States, >50K
+49, Private, 268022, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+28, Private, 188711, Bachelors, 13, Never-married, Transport-moving, Unmarried, White, Male, 0, 0, 20, United-States, <=50K
+29, Private, 452205, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 36, United-States, <=50K
+21, Private, 260847, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+28, Private, 291374, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+55, Private, 189933, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+45, Self-emp-not-inc, 133969, HS-grad, 9, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 50, South, >50K
+35, Private, 330664, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+31, ?, 672412, 11th, 7, Separated, ?, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+26, Private, 122999, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 8614, 0, 40, United-States, >50K
+30, Private, 111415, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 55, Germany, <=50K
+33, Private, 217235, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 20, United-States, <=50K
+40, Private, 121956, Bachelors, 13, Married-spouse-absent, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 13550, 0, 40, Cambodia, >50K
+23, Private, 120172, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 343403, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+48, Self-emp-not-inc, 104790, 11th, 7, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, >50K
+39, Local-gov, 473547, 10th, 6, Divorced, Handlers-cleaners, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+53, Local-gov, 260106, Prof-school, 15, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+49, Federal-gov, 168232, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+31, Private, 348491, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+36, Private, 24106, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 3103, 0, 40, United-States, >50K
+60, Self-emp-inc, 197553, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 50, United-States, >50K
+29, Private, 421065, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K
+54, Self-emp-inc, 138852, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K
+28, ?, 169631, Assoc-acdm, 12, Married-AF-spouse, ?, Wife, White, Female, 0, 0, 3, United-States, <=50K
+34, Private, 379412, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+30, Private, 181992, Some-college, 10, Never-married, Sales, Not-in-family, Black, Female, 0, 0, 35, United-States, <=50K
+19, Private, 365640, HS-grad, 9, Never-married, Priv-house-serv, Not-in-family, White, Female, 0, 0, 45, ?, <=50K
+26, Private, 236564, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+47, Private, 363418, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 70, United-States, >50K
+50, Private, 112351, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 38, United-States, <=50K
+30, Private, 204704, Bachelors, 13, Never-married, Exec-managerial, Unmarried, White, Female, 0, 0, 45, United-States, >50K
+44, Private, 54611, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+49, Private, 128132, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K
+75, Self-emp-not-inc, 30599, Masters, 14, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+37, Private, 379522, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K
+51, State-gov, 196504, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 38, United-States, <=50K
+35, Private, 82552, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 35, United-States, <=50K
+28, Private, 104024, Some-college, 10, Never-married, Sales, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+66, Self-emp-not-inc, 293114, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 1409, 0, 40, United-States, <=50K
+72, Private, 74141, 9th, 5, Married-civ-spouse, Exec-managerial, Wife, Asian-Pac-Islander, Female, 0, 0, 48, United-States, >50K
+39, Private, 192337, Bachelors, 13, Separated, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+27, Private, 262478, HS-grad, 9, Never-married, Farming-fishing, Own-child, Black, Male, 0, 0, 30, United-States, <=50K
+57, Private, 185072, Some-college, 10, Never-married, Adm-clerical, Other-relative, Black, Female, 0, 0, 40, Jamaica, <=50K
+24, Private, 296045, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 2635, 0, 38, United-States, <=50K
+28, Private, 246595, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 70, United-States, <=50K
+23, Private, 54472, Some-college, 10, Married-spouse-absent, Other-service, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+31, Private, 331065, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 1408, 40, United-States, <=50K
+23, Private, 161708, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+31, Private, 264936, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+27, Local-gov, 113545, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+30, Private, 212237, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1740, 45, United-States, <=50K
+31, Private, 170430, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 80, ?, <=50K
+34, Private, 173806, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 4865, 0, 60, United-States, <=50K
+57, Federal-gov, 370890, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 2258, 40, United-States, <=50K
+39, Private, 505119, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, Cuba, >50K
+23, Private, 193089, 11th, 7, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+24, Local-gov, 33432, Assoc-acdm, 12, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K
+36, Private, 103110, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, England, <=50K
+32, Private, 160362, Some-college, 10, Divorced, Other-service, Other-relative, White, Male, 0, 0, 40, Nicaragua, <=50K
+35, Private, 204621, Assoc-acdm, 12, Divorced, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+36, Private, 35309, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+23, ?, 154373, Bachelors, 13, Never-married, ?, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+47, Private, 194772, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K
+35, Private, 154410, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+44, Federal-gov, 220563, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K
+32, State-gov, 253354, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K
+32, Private, 211699, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 1485, 40, United-States, >50K
+63, Self-emp-not-inc, 167501, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, White, Female, 20051, 0, 10, United-States, >50K
+34, Private, 229732, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+47, Private, 185465, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+27, Private, 335764, 11th, 7, Married-civ-spouse, Sales, Own-child, Black, Male, 0, 0, 35, United-States, <=50K
+23, Private, 460046, HS-grad, 9, Separated, Exec-managerial, Unmarried, White, Female, 0, 0, 42, United-States, <=50K
+19, ?, 33487, Some-college, 10, Never-married, ?, Other-relative, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K
+50, Private, 176924, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 38, United-States, <=50K
+49, State-gov, 213307, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 83893, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+23, Private, 194102, Bachelors, 13, Never-married, Exec-managerial, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+61, Private, 238611, 7th-8th, 4, Widowed, Other-service, Unmarried, Black, Female, 0, 0, 38, United-States, <=50K
+41, Private, 113597, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 16, United-States, <=50K
+27, Self-emp-not-inc, 208406, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K
+53, Private, 274528, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K
+17, Self-emp-not-inc, 60116, 10th, 6, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 10, United-States, <=50K
+23, ?, 196816, HS-grad, 9, Never-married, ?, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+53, Private, 166368, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 303954, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1848, 42, United-States, >50K
+24, Private, 99386, Bachelors, 13, Married-spouse-absent, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+22, Private, 188569, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+53, Private, 302868, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+18, Private, 283342, 11th, 7, Never-married, Other-service, Other-relative, Black, Male, 0, 0, 20, United-States, <=50K
+24, Private, 233777, Some-college, 10, Never-married, Sales, Unmarried, White, Male, 0, 0, 50, Mexico, <=50K
+20, Private, 170038, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+30, Local-gov, 261319, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+37, State-gov, 367237, Assoc-voc, 11, Never-married, Prof-specialty, Not-in-family, White, Male, 8614, 0, 40, United-States, >50K
+34, Private, 126838, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+19, Private, 354104, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+20, Private, 176321, 12th, 8, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, Mexico, <=50K
+47, Private, 85129, HS-grad, 9, Divorced, Other-service, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K
+20, ?, 376474, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 32, United-States, <=50K
+22, Private, 62507, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+42, Local-gov, 111252, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 40, United-States, >50K
+60, Private, 156889, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+32, Private, 549430, HS-grad, 9, Never-married, Priv-house-serv, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K
+46, Private, 29696, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+66, Private, 98837, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+37, Private, 86150, Bachelors, 13, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female, 0, 0, 30, United-States, >50K
+34, Private, 204991, Some-college, 10, Divorced, Exec-managerial, Own-child, White, Male, 0, 0, 44, United-States, <=50K
+45, Private, 371886, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 46, United-States, <=50K
+35, Private, 103605, 11th, 7, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K
+63, ?, 54851, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+51, Local-gov, 133050, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, United-States, >50K
+36, Local-gov, 126569, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K
+25, Federal-gov, 144259, HS-grad, 9, Never-married, Adm-clerical, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+51, Private, 161482, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 38, United-States, <=50K
+25, Self-emp-not-inc, 305449, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+19, Private, 125010, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 45, United-States, <=50K
+47, Private, 304133, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K
+59, Local-gov, 120617, HS-grad, 9, Separated, Protective-serv, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+34, Private, 157747, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+40, Private, 297396, Some-college, 10, Separated, Exec-managerial, Unmarried, White, Female, 0, 0, 60, United-States, <=50K
+42, Private, 121287, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+28, ?, 308493, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 17, Honduras, <=50K
+37, Private, 49115, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K
+51, Self-emp-inc, 208302, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 38, United-States, >50K
+25, Private, 304032, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 36, United-States, <=50K
+31, Federal-gov, 207301, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K
+37, Private, 123211, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 44, United-States, >50K
+42, Private, 33521, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K
+29, ?, 410351, Bachelors, 13, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 410034, Some-college, 10, Divorced, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+51, Private, 175339, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 47, United-States, >50K
+22, ?, 27937, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 36, United-States, <=50K
+49, Private, 168211, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1485, 40, United-States, >50K
+26, Private, 125680, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 16, Japan, <=50K
+56, Local-gov, 160829, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 46, United-States, <=50K
+52, Private, 266529, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K
+61, Self-emp-not-inc, 115023, Masters, 14, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 4, ?, <=50K
+47, State-gov, 224149, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, >50K
+52, Private, 150930, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 343699, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+43, Self-emp-inc, 172826, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 99999, 0, 55, United-States, >50K
+35, Private, 163392, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male, 0, 0, 40, ?, <=50K
+17, ?, 103810, 12th, 8, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+42, Private, 213821, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1887, 40, United-States, >50K
+26, Private, 211265, Some-college, 10, Married-spouse-absent, Craft-repair, Other-relative, Black, Female, 0, 0, 35, Dominican-Republic, <=50K
+58, Local-gov, 160586, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K
+66, Private, 146454, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 5556, 0, 40, United-States, >50K
+30, Private, 203277, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 60, United-States, >50K
+46, Private, 309895, Some-college, 10, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+45, Private, 26522, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 1902, 35, United-States, >50K
+57, Private, 103809, HS-grad, 9, Never-married, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+25, Private, 90291, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+21, State-gov, 181761, Some-college, 10, Never-married, Tech-support, Own-child, White, Female, 0, 0, 10, United-States, <=50K
+37, Private, 35330, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 1669, 55, United-States, <=50K
+45, Local-gov, 135776, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+61, ?, 188172, Doctorate, 16, Widowed, ?, Not-in-family, White, Female, 0, 0, 5, United-States, <=50K
+39, Private, 179579, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+42, Private, 193626, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 53, United-States, <=50K
+20, Private, 108887, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+23, Private, 199070, HS-grad, 9, Never-married, Protective-serv, Own-child, Black, Male, 0, 0, 16, United-States, <=50K
+25, Private, 441591, Bachelors, 13, Never-married, Tech-support, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+47, Private, 185254, 5th-6th, 3, Never-married, Priv-house-serv, Own-child, White, Female, 0, 0, 40, El-Salvador, <=50K
+24, Private, 109307, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 45, United-States, <=50K
+20, ?, 81853, Some-college, 10, Never-married, ?, Own-child, Asian-Pac-Islander, Female, 0, 0, 15, United-States, <=50K
+35, Private, 23621, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K
+44, Local-gov, 145178, HS-grad, 9, Married-civ-spouse, Other-service, Wife, Black, Female, 0, 0, 38, Jamaica, >50K
+47, State-gov, 30575, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K
+28, State-gov, 130620, 11th, 7, Separated, Adm-clerical, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, India, <=50K
+41, Local-gov, 22155, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 60, United-States, <=50K
+31, Private, 106437, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+27, Private, 79787, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K
+47, Private, 326857, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 5013, 0, 40, United-States, <=50K
+44, Private, 81853, HS-grad, 9, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K
+61, Private, 120933, Some-college, 10, Never-married, Priv-house-serv, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+42, Federal-gov, 153143, Some-college, 10, Divorced, Adm-clerical, Other-relative, White, Female, 0, 0, 40, Puerto-Rico, <=50K
+46, Private, 27669, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 28, United-States, <=50K
+46, Private, 105444, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+54, Local-gov, 169785, Masters, 14, Widowed, Prof-specialty, Unmarried, White, Female, 0, 0, 38, United-States, <=50K
+49, Private, 122493, HS-grad, 9, Widowed, Tech-support, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+56, Local-gov, 242670, Some-college, 10, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+52, Private, 54933, Masters, 14, Divorced, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+34, Private, 209317, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, Puerto-Rico, <=50K
+25, Self-emp-not-inc, 282631, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+18, Private, 98044, 11th, 7, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+58, Private, 187487, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+31, State-gov, 60186, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 75648, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K
+28, Private, 201175, 11th, 7, Never-married, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+30, Private, 19302, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K
+21, ?, 300812, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+44, Private, 146659, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1887, 35, United-States, >50K
+75, Private, 101887, 10th, 6, Widowed, Priv-house-serv, Not-in-family, White, Female, 0, 0, 70, United-States, <=50K
+66, ?, 117778, 11th, 7, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 60726, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+33, Self-emp-inc, 201763, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+57, Self-emp-inc, 119253, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 65, United-States, >50K
+47, Self-emp-not-inc, 121124, 5th-6th, 3, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, Italy, >50K
+41, Private, 220132, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 40, United-States, >50K
+21, Private, 60639, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 37, United-States, <=50K
+17, Private, 195262, 11th, 7, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 17, United-States, <=50K
+61, ?, 113544, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 55, United-States, <=50K
+47, ?, 331650, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 8, United-States, >50K
+22, Private, 100587, Some-college, 10, Never-married, Other-service, Own-child, Black, Female, 0, 0, 15, United-States, <=50K
+47, Private, 298130, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+45, Private, 242391, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+32, Self-emp-not-inc, 197867, Assoc-voc, 11, Divorced, Sales, Unmarried, White, Male, 0, 0, 50, United-States, <=50K
+59, Private, 151977, 10th, 6, Separated, Priv-house-serv, Not-in-family, Black, Female, 0, 0, 30, United-States, <=50K
+38, Private, 277347, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+33, Private, 125249, HS-grad, 9, Separated, Protective-serv, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+41, Private, 222142, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+51, Private, 270194, 9th, 5, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+42, Private, 169995, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 48, United-States, <=50K
+27, Private, 359155, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K
+60, Private, 123992, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+64, Local-gov, 266080, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+37, Private, 201531, Assoc-acdm, 12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K
+54, Self-emp-not-inc, 179704, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+36, Private, 393673, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 50, United-States, >50K
+34, Private, 244147, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, ?, >50K
+41, Self-emp-not-inc, 438696, Masters, 14, Divorced, Sales, Unmarried, White, Male, 0, 0, 5, United-States, >50K
+35, Self-emp-not-inc, 207568, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 75, United-States, <=50K
+63, Self-emp-inc, 54052, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 68, United-States, >50K
+46, Private, 187581, HS-grad, 9, Divorced, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+47, Self-emp-not-inc, 77102, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 353010, Bachelors, 13, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K
+29, Private, 54131, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+74, Federal-gov, 39890, Some-college, 10, Widowed, Transport-moving, Not-in-family, White, Female, 0, 0, 18, United-States, <=50K
+50, Private, 156877, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 70, United-States, >50K
+22, Private, 355686, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+48, Private, 300168, 12th, 8, Separated, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+30, Private, 488720, 9th, 5, Married-civ-spouse, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K
+32, Private, 157287, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+39, Private, 184659, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+49, Private, 214169, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+25, Private, 192149, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+50, Private, 137253, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K
+44, Private, 373050, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+65, Private, 90377, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 6767, 0, 60, United-States, <=50K
+28, Federal-gov, 183151, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 60, United-States, <=50K
+55, Private, 227158, Bachelors, 13, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+49, Local-gov, 34021, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 50, United-States, <=50K
+31, Private, 165148, HS-grad, 9, Separated, Exec-managerial, Unmarried, White, Female, 0, 0, 12, United-States, <=50K
+47, Private, 211668, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female, 0, 0, 40, United-States, >50K
+45, Private, 358886, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K
+35, Private, 47707, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+34, Self-emp-not-inc, 306982, Bachelors, 13, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 60, South, <=50K
+49, Local-gov, 52590, HS-grad, 9, Widowed, Protective-serv, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+39, ?, 179352, Some-college, 10, Divorced, ?, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+27, Private, 158156, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 42, United-States, <=50K
+42, Private, 70055, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+60, ?, 131852, 5th-6th, 3, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 30, United-States, >50K
+64, Self-emp-not-inc, 177825, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 1055, 0, 40, United-States, <=50K
+33, Private, 127215, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 48, United-States, >50K
+23, Private, 175183, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+45, Private, 142287, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+34, Private, 221324, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+53, Private, 227602, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 37, Mexico, <=50K
+22, Private, 228452, 10th, 6, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+57, State-gov, 39380, HS-grad, 9, Separated, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+20, ?, 96862, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 8, United-States, <=50K
+23, Private, 336360, 7th-8th, 4, Never-married, Craft-repair, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+31, Private, 257644, 11th, 7, Never-married, Transport-moving, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+23, State-gov, 235853, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 22, United-States, <=50K
+30, Private, 270577, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+32, Local-gov, 222900, Bachelors, 13, Separated, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, >50K
+42, Private, 99254, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 40, United-States, >50K
+51, Private, 224763, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, Cuba, <=50K
+59, Self-emp-not-inc, 174056, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 40, United-States, >50K
+36, Private, 127306, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+45, Private, 339506, HS-grad, 9, Never-married, Sales, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+35, Private, 178322, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, Germany, >50K
+33, Private, 189843, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+43, Private, 160815, Assoc-voc, 11, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+60, Private, 207665, HS-grad, 9, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 40, United-States, >50K
+37, State-gov, 160402, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K
+35, Private, 170263, Some-college, 10, Never-married, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+36, Private, 184659, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 52, United-States, <=50K
+38, Federal-gov, 338320, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 50, United-States, >50K
+54, Private, 101017, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+51, Private, 204322, Assoc-voc, 11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K
+45, Private, 241350, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K
+63, Federal-gov, 217994, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+51, Private, 128143, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+58, Self-emp-not-inc, 164065, Masters, 14, Divorced, Sales, Not-in-family, White, Male, 0, 0, 18, United-States, <=50K
+64, Local-gov, 78866, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+20, Private, 236769, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+44, Federal-gov, 239539, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, >50K
+39, Private, 34028, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 48, United-States, <=50K
+45, State-gov, 207847, Some-college, 10, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+44, Private, 175935, Doctorate, 16, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 55, United-States, >50K
+22, Federal-gov, 218445, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+63, Self-emp-inc, 215833, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+26, Private, 156976, Assoc-voc, 11, Separated, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+42, Self-emp-not-inc, 220647, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 45, United-States, <=50K
+20, Private, 218343, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+29, Private, 241431, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 7298, 0, 40, United-States, >50K
+38, Local-gov, 123983, Bachelors, 13, Never-married, Exec-managerial, Unmarried, Asian-Pac-Islander, Male, 0, 1741, 40, Vietnam, <=50K
+25, Private, 73289, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 408623, Bachelors, 13, Married-civ-spouse, Craft-repair, Other-relative, White, Male, 0, 0, 50, United-States, <=50K
+46, Private, 169180, Assoc-voc, 11, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+31, Private, 54929, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+24, Private, 306779, Assoc-voc, 11, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+43, Private, 159549, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+23, Private, 482082, 12th, 8, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 21, Mexico, <=50K
+32, Local-gov, 286101, HS-grad, 9, Never-married, Transport-moving, Unmarried, Black, Female, 0, 0, 37, United-States, <=50K
+44, Private, 167955, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Poland, <=50K
+40, Self-emp-not-inc, 209040, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 105017, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 27776, Assoc-voc, 11, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+19, Private, 242941, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 1602, 10, United-States, <=50K
+41, Private, 118853, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+48, Private, 119565, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 196827, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 1902, 40, United-States, <=50K
+47, Private, 275361, Assoc-acdm, 12, Widowed, Other-service, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+42, Private, 225193, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+17, Private, 329783, 10th, 6, Never-married, Sales, Other-relative, White, Female, 0, 0, 10, United-States, <=50K
+29, Local-gov, 107411, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 70, United-States, <=50K
+21, State-gov, 258490, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+18, ?, 120243, 11th, 7, Never-married, ?, Own-child, White, Male, 0, 0, 27, United-States, <=50K
+31, Private, 219509, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Mexico, >50K
+27, Local-gov, 29174, Bachelors, 13, Never-married, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+29, Private, 40083, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, Canada, <=50K
+23, Private, 87528, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+41, Private, 116379, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 55, Taiwan, >50K
+46, Local-gov, 216214, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, >50K
+34, Private, 268051, Some-college, 10, Married-civ-spouse, Protective-serv, Other-relative, Black, Female, 0, 0, 25, Haiti, <=50K
+42, Self-emp-not-inc, 121718, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 24, United-States, <=50K
+18, Private, 201901, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 1719, 15, United-States, <=50K
+46, Private, 109089, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 37, United-States, <=50K
+18, ?, 346382, 11th, 7, Never-married, ?, Own-child, White, Male, 0, 0, 15, United-States, <=50K
+52, Private, 284129, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+56, Private, 143030, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+21, Private, 212619, Assoc-voc, 11, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+22, Self-emp-not-inc, 199011, HS-grad, 9, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 20, United-States, <=50K
+31, Private, 118901, Bachelors, 13, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 45, United-States, <=50K
+41, Self-emp-not-inc, 129865, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 60, United-States, <=50K
+25, Private, 157900, Some-college, 10, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+43, Self-emp-not-inc, 349341, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+45, Private, 158685, HS-grad, 9, Separated, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+26, Private, 386585, Some-college, 10, Divorced, Tech-support, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+90, Private, 52386, Some-college, 10, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 35, United-States, <=50K
+45, Private, 246891, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1902, 40, United-States, >50K
+30, Private, 190385, Bachelors, 13, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, >50K
+42, Private, 37869, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 217807, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+53, Private, 149784, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 40, United-States, >50K
+64, State-gov, 201293, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K
+56, Private, 128764, 7th-8th, 4, Widowed, Transport-moving, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K
+42, Private, 27444, Some-college, 10, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+26, Private, 62438, Bachelors, 13, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, >50K
+31, Local-gov, 151726, Assoc-acdm, 12, Never-married, Adm-clerical, Own-child, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K
+40, Private, 29841, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K
+58, Private, 131608, Some-college, 10, Widowed, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+41, Private, 110562, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+58, Self-emp-inc, 190541, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 47, United-States, <=50K
+62, State-gov, 33142, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K
+65, Self-emp-inc, 139272, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 99999, 0, 60, United-States, >50K
+40, Private, 234633, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+45, Local-gov, 238386, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K
+22, Private, 460835, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 55, United-States, <=50K
+23, ?, 243190, Some-college, 10, Never-married, ?, Own-child, Asian-Pac-Islander, Male, 0, 0, 20, China, <=50K
+63, Federal-gov, 97855, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+39, Private, 77146, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 50, United-States, >50K
+37, Private, 200863, Some-college, 10, Widowed, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+25, ?, 41107, Bachelors, 13, Married-spouse-absent, ?, Not-in-family, White, Male, 0, 0, 40, Canada, <=50K
+56, Private, 77415, 11th, 7, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K
+32, Private, 236770, Some-college, 10, Divorced, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+53, Federal-gov, 173093, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, Asian-Pac-Islander, Female, 0, 1887, 40, Philippines, >50K
+32, Private, 235124, Assoc-voc, 11, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+23, Self-emp-not-inc, 282604, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 7688, 0, 60, United-States, >50K
+35, Private, 199288, 11th, 7, Separated, Transport-moving, Not-in-family, White, Male, 0, 0, 90, United-States, <=50K
+51, Private, 191659, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 65, United-States, >50K
+19, Private, 43285, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+41, Private, 160837, 11th, 7, Married-spouse-absent, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, Guatemala, <=50K
+22, Private, 230574, 10th, 6, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 25, United-States, <=50K
+23, Private, 176178, HS-grad, 9, Never-married, Tech-support, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+36, Private, 116358, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Taiwan, >50K
+27, ?, 253873, Some-college, 10, Divorced, ?, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K
+45, Private, 107787, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Canada, <=50K
+23, Self-emp-not-inc, 519627, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 25, Mexico, <=50K
+21, Private, 191460, 11th, 7, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+44, Private, 198282, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 40, United-States, >50K
+29, Private, 214858, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+36, Self-emp-not-inc, 64875, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 60, United-States, <=50K
+18, Private, 675421, 9th, 5, Never-married, Handlers-cleaners, Own-child, White, Male, 594, 0, 40, United-States, <=50K
+62, Self-emp-not-inc, 134768, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+25, Federal-gov, 207342, Some-college, 10, Never-married, Exec-managerial, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+34, Private, 64830, Assoc-acdm, 12, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+31, Private, 220066, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 14344, 0, 50, United-States, >50K
+37, Private, 82521, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 40, United-States, >50K
+33, Private, 176711, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, England, <=50K
+22, ?, 217421, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+28, Private, 111900, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 30, United-States, <=50K
+22, ?, 196943, Some-college, 10, Separated, ?, Own-child, White, Male, 0, 0, 25, United-States, <=50K
+47, Private, 481987, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, >50K
+67, ?, 184506, 11th, 7, Married-civ-spouse, ?, Husband, White, Male, 0, 419, 3, United-States, <=50K
+20, ?, 121313, 10th, 6, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 158420, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 70, United-States, <=50K
+26, Private, 256000, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 60, United-States, >50K
+36, Private, 183892, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 44, United-States, >50K
+28, Private, 42734, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 181773, HS-grad, 9, Never-married, Transport-moving, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+47, Private, 184945, Some-college, 10, Separated, Other-service, Not-in-family, Black, Female, 0, 0, 35, United-States, <=50K
+33, Private, 107248, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+34, Self-emp-inc, 215382, Masters, 14, Separated, Prof-specialty, Not-in-family, White, Female, 4787, 0, 40, United-States, >50K
+25, Private, 122999, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 758700, 9th, 5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 3781, 0, 50, Mexico, <=50K
+36, State-gov, 166606, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K
+61, Local-gov, 192060, Bachelors, 13, Separated, Prof-specialty, Not-in-family, White, Male, 0, 0, 30, ?, <=50K
+74, ?, 340939, 9th, 5, Married-civ-spouse, ?, Husband, White, Male, 3471, 0, 40, United-States, <=50K
+57, Private, 205708, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Poland, <=50K
+55, Private, 67450, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, England, <=50K
+20, Private, 242077, HS-grad, 9, Divorced, Sales, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+43, Private, 129573, HS-grad, 9, Never-married, Sales, Not-in-family, Black, Female, 0, 0, 44, United-States, <=50K
+54, Private, 181132, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, England, >50K
+25, Private, 212302, Some-college, 10, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+42, Private, 83411, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 1408, 40, United-States, <=50K
+23, ?, 148751, Some-college, 10, Never-married, ?, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+17, Private, 317681, 11th, 7, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 10, United-States, <=50K
+39, ?, 103986, HS-grad, 9, Never-married, ?, Not-in-family, White, Male, 0, 1590, 40, United-States, <=50K
+63, Private, 30602, 7th-8th, 4, Married-spouse-absent, Other-service, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K
+19, Private, 172893, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+56, Self-emp-inc, 211804, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 50, United-States, >50K
+33, Self-emp-not-inc, 312055, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K
+37, Private, 65390, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K
+27, Private, 200500, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K
+36, Local-gov, 241962, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+30, Self-emp-inc, 78530, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 65, Canada, >50K
+22, Private, 189950, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K
+35, Private, 111387, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 1579, 40, United-States, <=50K
+20, Private, 241951, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+18, Private, 343059, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+25, Private, 302465, 12th, 8, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 1741, 40, United-States, <=50K
+53, Private, 156843, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 1564, 54, United-States, >50K
+21, ?, 79728, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+19, Private, 55284, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+34, Private, 509364, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+32, State-gov, 117927, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+20, Private, 137651, Some-college, 10, Never-married, Machine-op-inspct, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K
+70, Private, 131060, 7th-8th, 4, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 25, United-States, <=50K
+57, Private, 346963, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+54, Private, 183611, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 3137, 0, 50, United-States, <=50K
+34, Private, 134737, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+48, Private, 36503, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+42, Private, 250121, 11th, 7, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K
+45, Private, 330535, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 3325, 0, 40, United-States, <=50K
+27, Private, 387776, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+51, Private, 41474, 10th, 6, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+36, Local-gov, 318972, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 65, United-States, <=50K
+33, Private, 86143, Some-college, 10, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K
+50, Private, 181139, Some-college, 10, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+44, Private, 326232, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Male, 0, 2547, 50, United-States, >50K
+39, Local-gov, 153976, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+55, Self-emp-not-inc, 59469, 9th, 5, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 25, United-States, <=50K
+24, Private, 127139, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+35, Private, 136343, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+32, Self-emp-not-inc, 350624, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+66, ?, 177351, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 2174, 40, United-States, >50K
+68, Private, 166149, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 2206, 30, United-States, <=50K
+29, Private, 121523, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K
+24, Self-emp-not-inc, 267396, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+61, Private, 83045, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 160449, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 44, United-States, >50K
+55, Self-emp-inc, 124137, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2415, 35, Greece, >50K
+20, ?, 287681, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 36, United-States, <=50K
+41, Private, 154194, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+36, Self-emp-not-inc, 295127, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 84, United-States, <=50K
+60, Private, 240521, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 40, United-States, >50K
+61, Self-emp-not-inc, 244087, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 52, United-States, >50K
+35, Private, 356250, Prof-school, 15, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 35, China, <=50K
+42, State-gov, 293791, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+26, Private, 44308, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+44, Local-gov, 210527, Some-college, 10, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+31, State-gov, 151763, Masters, 14, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K
+39, State-gov, 267581, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+20, Private, 100188, Some-college, 10, Never-married, Tech-support, Own-child, White, Female, 0, 0, 24, United-States, <=50K
+32, Self-emp-inc, 111746, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+32, Self-emp-not-inc, 171091, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+61, Private, 355645, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 20, Trinadad&Tobago, <=50K
+54, Local-gov, 137678, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+23, Private, 70894, Assoc-acdm, 12, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+19, Private, 171306, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 3, United-States, <=50K
+31, Private, 100997, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K
+35, Private, 63921, 5th-6th, 3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+29, Private, 32897, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K
+29, Local-gov, 251854, HS-grad, 9, Never-married, Protective-serv, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+25, Private, 345121, 10th, 6, Separated, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+46, Private, 86220, Bachelors, 13, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+35, Private, 172845, Assoc-voc, 11, Never-married, Other-service, Unmarried, White, Female, 0, 0, 30, United-States, <=50K
+20, Private, 171398, 10th, 6, Never-married, Sales, Not-in-family, Other, Male, 0, 0, 40, United-States, <=50K
+24, Self-emp-not-inc, 174391, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K
+48, Private, 207058, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 37, United-States, <=50K
+37, Private, 291251, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+60, Self-emp-not-inc, 224377, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+39, Private, 105813, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+29, Local-gov, 180916, Some-college, 10, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 38, United-States, <=50K
+31, Self-emp-not-inc, 122749, Assoc-voc, 11, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+38, Private, 31069, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 4386, 0, 40, United-States, >50K
+26, Self-emp-not-inc, 284343, Assoc-acdm, 12, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+64, Private, 319371, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 40, United-States, >50K
+46, Private, 174224, Assoc-voc, 11, Divorced, Protective-serv, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+69, ?, 183958, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 8, United-States, <=50K
+39, Private, 127772, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 3103, 0, 44, United-States, >50K
+48, Private, 80651, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K
+46, Private, 62793, HS-grad, 9, Divorced, Sales, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+42, Private, 191712, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 0, 1590, 40, United-States, <=50K
+39, Self-emp-not-inc, 237532, HS-grad, 9, Married-civ-spouse, Sales, Wife, Black, Female, 0, 0, 54, Dominican-Republic, >50K
+50, Federal-gov, 20179, Masters, 14, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K
+24, Private, 311376, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+30, Private, 432565, Assoc-voc, 11, Married-civ-spouse, Tech-support, Other-relative, White, Female, 0, 0, 40, Canada, >50K
+39, Self-emp-inc, 329980, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 2415, 60, United-States, >50K
+29, Self-emp-not-inc, 125190, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 342946, 11th, 7, Never-married, Transport-moving, Own-child, White, Female, 0, 0, 38, United-States, <=50K
+21, ?, 219835, Assoc-voc, 11, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 123429, 10th, 6, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+69, Self-emp-inc, 69209, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 3818, 0, 30, United-States, <=50K
+55, Private, 66356, HS-grad, 9, Separated, Handlers-cleaners, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+41, Private, 195897, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K
+44, Self-emp-inc, 153132, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 52, United-States, >50K
+18, Private, 230875, 11th, 7, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+74, Self-emp-not-inc, 92298, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 10, United-States, <=50K
+40, Private, 185145, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+27, Private, 297296, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+75, ?, 164849, 9th, 5, Married-civ-spouse, ?, Husband, Black, Male, 1409, 0, 5, United-States, <=50K
+55, Private, 145214, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+52, Self-emp-not-inc, 242341, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K
+54, Private, 240542, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 48, United-States, <=50K
+36, Private, 104772, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 48, United-States, <=50K
+76, ?, 152802, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 8, United-States, <=50K
+26, Private, 181666, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+18, Private, 415520, 11th, 7, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+38, Private, 258761, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+50, Private, 88842, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 7298, 0, 40, United-States, >50K
+19, ?, 356717, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+32, Private, 158438, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K
+57, Private, 206206, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+20, Private, 51816, HS-grad, 9, Never-married, Protective-serv, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+27, Private, 253814, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+31, Self-emp-not-inc, 161745, Bachelors, 13, Married-spouse-absent, Exec-managerial, Not-in-family, White, Male, 0, 1980, 60, United-States, <=50K
+60, Private, 162947, 5th-6th, 3, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, Puerto-Rico, <=50K
+52, Private, 163027, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 50, United-States, <=50K
+61, Private, 146788, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+57, Self-emp-not-inc, 73309, HS-grad, 9, Widowed, Craft-repair, Not-in-family, White, Male, 0, 0, 55, United-States, >50K
+19, ?, 143867, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+59, Self-emp-not-inc, 104216, Prof-school, 15, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 25, United-States, <=50K
+34, Self-emp-not-inc, 345705, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, >50K
+31, Private, 133770, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 50, United-States, >50K
+42, Private, 209392, HS-grad, 9, Divorced, Protective-serv, Not-in-family, Black, Male, 0, 0, 35, United-States, <=50K
+70, Private, 262345, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 6, United-States, <=50K
+47, Private, 277545, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 40, ?, >50K
+47, ?, 174525, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 3942, 0, 40, ?, <=50K
+29, Private, 490332, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, >50K
+27, Private, 211570, 11th, 7, Never-married, Handlers-cleaners, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K
+25, Private, 374918, 12th, 8, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K
+51, Private, 106728, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 5178, 0, 60, United-States, >50K
+28, Private, 173649, HS-grad, 9, Never-married, Other-service, Own-child, Black, Female, 0, 0, 40, ?, <=50K
+35, Private, 174597, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+36, Self-emp-not-inc, 233533, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, >50K
+54, ?, 169785, Masters, 14, Never-married, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+46, Private, 133169, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+52, Private, 198824, Assoc-voc, 11, Separated, Other-service, Unmarried, White, Female, 0, 0, 35, United-States, <=50K
+65, Private, 174056, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+43, Private, 188696, Assoc-voc, 11, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+41, Local-gov, 90692, HS-grad, 9, Divorced, Prof-specialty, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K
+34, Private, 271933, Bachelors, 13, Never-married, Exec-managerial, Other-relative, White, Female, 0, 1741, 45, United-States, <=50K
+47, Self-emp-not-inc, 102359, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 30, United-States, <=50K
+49, Federal-gov, 213668, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 56, United-States, >50K
+21, Private, 294789, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K
+20, Private, 157599, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K
+18, Local-gov, 134935, 12th, 8, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 466224, Some-college, 10, Never-married, Sales, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+34, Self-emp-not-inc, 111985, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+38, Private, 264627, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+24, Private, 213427, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 279015, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K
+47, Private, 165937, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, >50K
+27, Federal-gov, 188343, HS-grad, 9, Separated, Exec-managerial, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+63, Private, 158609, Assoc-voc, 11, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 8, United-States, <=50K
+34, Private, 193036, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, >50K
+25, Private, 198632, Some-college, 10, Married-spouse-absent, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+54, Private, 175912, HS-grad, 9, Widowed, Machine-op-inspct, Unmarried, White, Male, 914, 0, 40, United-States, <=50K
+19, ?, 192773, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+35, Private, 101387, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+24, Private, 60783, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 70, United-States, >50K
+26, Private, 183224, Some-college, 10, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female, 0, 0, 35, United-States, <=50K
+59, Local-gov, 100776, Assoc-voc, 11, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+43, Private, 57600, Doctorate, 16, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, ?, <=50K
+20, Private, 174063, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+41, Private, 306495, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K
+51, Private, 249741, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 93021, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Other, Female, 0, 0, 40, United-States, <=50K
+36, Private, 49626, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 63062, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 60, United-States, <=50K
+55, Private, 320835, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+22, Local-gov, 123727, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 21, United-States, <=50K
+58, State-gov, 110517, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 4064, 0, 40, India, <=50K
+43, Private, 149670, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 4064, 0, 15, United-States, <=50K
+39, Private, 172425, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 20, United-States, >50K
+40, Private, 216116, 9th, 5, Never-married, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, Haiti, <=50K
+46, Private, 174209, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+54, Federal-gov, 175083, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 20, United-States, <=50K
+19, Private, 129059, Some-college, 10, Never-married, Sales, Own-child, Black, Male, 0, 0, 30, United-States, <=50K
+24, Private, 121313, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+53, ?, 181317, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+24, State-gov, 166851, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 13, United-States, <=50K
+29, Self-emp-not-inc, 29616, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 65, United-States, <=50K
+56, Self-emp-inc, 105582, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 50, United-States, >50K
+54, ?, 124993, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, >50K
+21, ?, 148509, Some-college, 10, Never-married, ?, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+34, Private, 230246, 9th, 5, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 40, ?, <=50K
+56, Private, 117881, 11th, 7, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+34, Private, 203408, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 50, United-States, >50K
+19, Private, 446219, 10th, 6, Never-married, Sales, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+32, Self-emp-inc, 110331, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 65, United-States, >50K
+48, Private, 207946, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 52, United-States, <=50K
+67, ?, 45537, Masters, 14, Married-civ-spouse, ?, Husband, Black, Male, 0, 0, 40, United-States, >50K
+47, Private, 188330, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 25, United-States, <=50K
+52, Private, 147629, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, >50K
+40, Private, 153799, 1st-4th, 2, Married-spouse-absent, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, Dominican-Republic, <=50K
+28, Private, 203776, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+41, Private, 168071, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 50, United-States, >50K
+57, Private, 348430, 1st-4th, 2, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, Portugal, <=50K
+51, Private, 103407, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+26, ?, 152046, 11th, 7, Never-married, ?, Not-in-family, White, Female, 0, 0, 35, Germany, <=50K
+36, Private, 153205, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 45, ?, <=50K
+33, Private, 326104, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+46, Private, 238162, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K
+50, Private, 221336, HS-grad, 9, Divorced, Adm-clerical, Other-relative, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K
+33, Private, 180656, Some-college, 10, Married-spouse-absent, Craft-repair, Not-in-family, White, Male, 0, 0, 40, ?, <=50K
+77, Self-emp-not-inc, 145329, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 401, 0, 20, United-States, <=50K
+39, Private, 315776, Masters, 14, Never-married, Exec-managerial, Not-in-family, Black, Male, 8614, 0, 52, United-States, >50K
+67, ?, 150516, HS-grad, 9, Widowed, ?, Unmarried, White, Male, 0, 0, 3, United-States, <=50K
+35, Private, 325802, Assoc-acdm, 12, Divorced, Handlers-cleaners, Unmarried, White, Female, 0, 0, 24, United-States, <=50K
+23, Private, 133985, 10th, 6, Never-married, Craft-repair, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+37, Private, 269329, Assoc-voc, 11, Divorced, Prof-specialty, Not-in-family, White, Female, 8614, 0, 45, United-States, >50K
+41, Private, 183203, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K
+60, Private, 76127, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 35, United-States, >50K
+32, Private, 195891, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K
+56, Federal-gov, 162137, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K
+45, State-gov, 37672, Assoc-voc, 11, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+24, Private, 161708, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, >50K
+18, Private, 80616, 10th, 6, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 27, United-States, <=50K
+31, Private, 209276, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Other, Male, 0, 0, 40, United-States, <=50K
+21, ?, 34443, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 50, United-States, <=50K
+45, Private, 192835, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 55, United-States, >50K
+23, Private, 203240, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+45, State-gov, 102308, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+18, Private, 40829, 11th, 7, Never-married, Sales, Other-relative, Amer-Indian-Eskimo, Female, 0, 0, 25, United-States, <=50K
+25, Private, 60726, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 30, United-States, <=50K
+31, State-gov, 116677, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+19, Private, 57067, HS-grad, 9, Never-married, Machine-op-inspct, Other-relative, White, Male, 0, 0, 45, United-States, <=50K
+41, Private, 304906, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+74, Private, 101590, Prof-school, 15, Widowed, Adm-clerical, Not-in-family, Black, Female, 0, 0, 20, United-States, <=50K
+27, Private, 258102, 5th-6th, 3, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K
+23, Private, 241185, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+31, Private, 124827, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+40, Self-emp-inc, 76625, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+41, Federal-gov, 263339, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K
+25, Private, 135645, Masters, 14, Never-married, Sales, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K
+42, Private, 245626, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male, 0, 0, 60, United-States, <=50K
+24, Private, 210781, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+42, Private, 235786, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K
+45, Self-emp-not-inc, 160167, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 70, United-States, <=50K
+52, Federal-gov, 30731, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 40, United-States, >50K
+34, Private, 314375, Assoc-voc, 11, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 81528, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 60, United-States, <=50K
+54, Private, 182854, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+42, Federal-gov, 296798, 11th, 7, Never-married, Tech-support, Not-in-family, White, Male, 0, 1340, 40, United-States, <=50K
+32, Private, 194426, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 15024, 0, 40, United-States, >50K
+40, ?, 70645, Some-college, 10, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 20, United-States, <=50K
+55, Self-emp-inc, 141807, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K
+66, ?, 112871, 11th, 7, Never-married, ?, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+52, State-gov, 71344, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+21, State-gov, 341410, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K
+33, Private, 118941, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K
+52, ?, 159755, Assoc-voc, 11, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 50, United-States, >50K
+28, Private, 128509, 5th-6th, 3, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, ?, <=50K
+27, Self-emp-not-inc, 229125, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+42, Local-gov, 142756, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+27, Self-emp-inc, 243871, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 45, United-States, <=50K
+47, Private, 213140, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 40, United-States, >50K
+19, Private, 196857, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+46, Private, 138626, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+55, Self-emp-not-inc, 161334, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 25, Nicaragua, <=50K
+50, Private, 273536, 7th-8th, 4, Married-civ-spouse, Sales, Husband, Other, Male, 0, 0, 49, Dominican-Republic, <=50K
+32, Private, 115631, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 4101, 0, 50, United-States, <=50K
+28, Private, 185957, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K
+23, Private, 334357, HS-grad, 9, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+43, Private, 96102, Masters, 14, Married-spouse-absent, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+34, Private, 213226, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, Iran, >50K
+19, Private, 115248, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, Vietnam, <=50K
+37, Private, 185061, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 55, United-States, <=50K
+27, Private, 147638, Bachelors, 13, Never-married, Adm-clerical, Other-relative, Asian-Pac-Islander, Female, 0, 0, 40, Hong, <=50K
+18, Private, 280298, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 24, United-States, <=50K
+31, Private, 163516, Some-college, 10, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+49, Private, 277434, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K
+26, Federal-gov, 206983, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, Columbia, <=50K
+48, Private, 108993, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K
+39, Private, 288551, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+41, Private, 176069, HS-grad, 9, Separated, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+48, State-gov, 183486, Assoc-voc, 11, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 56, United-States, >50K
+40, Private, 163215, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 10520, 0, 40, United-States, >50K
+70, Private, 94692, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 70, United-States, >50K
+20, Private, 118462, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 43, United-States, <=50K
+38, Private, 407068, 5th-6th, 3, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 75, Mexico, <=50K
+37, Self-emp-not-inc, 243587, Some-college, 10, Separated, Other-service, Own-child, White, Female, 0, 0, 40, Cuba, <=50K
+49, Private, 23074, Some-college, 10, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, >50K
+51, Private, 237735, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 3103, 0, 40, United-States, >50K
+43, Private, 188291, 1st-4th, 2, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 284166, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+18, ?, 423460, 11th, 7, Never-married, ?, Own-child, White, Male, 0, 0, 36, United-States, <=50K
+23, Private, 287681, 7th-8th, 4, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 25, Mexico, <=50K
+34, Private, 509364, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+62, ?, 139391, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 24, United-States, <=50K
+33, Private, 91964, Some-college, 10, Never-married, Adm-clerical, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 117526, Some-college, 10, Never-married, Farming-fishing, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+64, Private, 91343, Some-college, 10, Widowed, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+26, Local-gov, 336969, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 28, El-Salvador, <=50K
+55, Private, 255364, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+61, Local-gov, 167670, Bachelors, 13, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 211494, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K
+78, Local-gov, 136198, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 15, United-States, <=50K
+27, Federal-gov, 409815, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+49, Private, 188823, HS-grad, 9, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K
+55, State-gov, 146326, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 45, United-States, >50K
+42, Private, 154374, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 58, United-States, <=50K
+22, ?, 216563, HS-grad, 9, Never-married, ?, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+61, Private, 197286, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+64, Self-emp-not-inc, 100722, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 5, United-States, <=50K
+46, Local-gov, 377622, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 145964, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 358636, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 2829, 0, 70, United-States, <=50K
+47, Private, 155489, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 7688, 0, 55, United-States, >50K
+18, Private, 57413, Some-college, 10, Divorced, Other-service, Own-child, White, Male, 0, 0, 15, United-States, <=50K
+48, Private, 320421, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K
+50, Self-emp-not-inc, 174752, HS-grad, 9, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+40, State-gov, 229364, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+56, Self-emp-not-inc, 157486, 10th, 6, Divorced, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 92682, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 4865, 0, 40, United-States, <=50K
+56, Federal-gov, 101338, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+18, Private, 132652, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+21, Private, 34616, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+40, Private, 218903, HS-grad, 9, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+27, Local-gov, 204098, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Other-relative, White, Male, 0, 0, 50, United-States, <=50K
+52, Self-emp-not-inc, 64045, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 45, United-States, >50K
+46, Private, 189763, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+23, Private, 26248, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+50, Private, 92079, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 45, United-States, >50K
+19, Private, 280071, Some-college, 10, Never-married, Machine-op-inspct, Other-relative, White, Male, 0, 0, 50, United-States, <=50K
+20, Private, 224059, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+39, Private, 185520, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 8614, 0, 40, United-States, >50K
+24, Private, 265567, 11th, 7, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+72, Private, 106890, Assoc-voc, 11, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+42, State-gov, 39586, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 20, United-States, >50K
+42, Private, 153132, Bachelors, 13, Divorced, Sales, Unmarried, White, Male, 0, 0, 45, ?, <=50K
+51, Private, 209912, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 50, United-States, <=50K
+39, Private, 144169, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+40, Local-gov, 50442, Some-college, 10, Never-married, Adm-clerical, Unmarried, Amer-Indian-Eskimo, Female, 2977, 0, 35, United-States, <=50K
+34, Private, 89644, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K
+19, Private, 275889, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, Mexico, <=50K
+26, Private, 231638, HS-grad, 9, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+45, Local-gov, 224474, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 4934, 0, 50, United-States, >50K
+28, Private, 355259, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, >50K
+30, Federal-gov, 68330, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+32, Private, 185410, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+19, Private, 87653, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+21, Private, 286853, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+54, Private, 96710, HS-grad, 9, Married-civ-spouse, Priv-house-serv, Other-relative, Black, Female, 0, 0, 20, United-States, <=50K
+62, Private, 160143, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 30, United-States, >50K
+25, Private, 186925, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 2597, 0, 48, United-States, <=50K
+49, Self-emp-inc, 109705, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 32, United-States, <=50K
+32, Private, 94235, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+26, Private, 225279, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 1602, 40, ?, <=50K
+37, Local-gov, 297449, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K
+58, Private, 205896, HS-grad, 9, Divorced, Sales, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+37, Private, 93717, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 7298, 0, 45, United-States, >50K
+41, Private, 194710, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+38, Private, 236391, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 40, United-States, >50K
+47, State-gov, 189123, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+42, Private, 358677, HS-grad, 9, Divorced, Other-service, Unmarried, Black, Male, 0, 0, 35, United-States, <=50K
+30, State-gov, 199539, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 1902, 40, United-States, <=50K
+43, Private, 128170, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 40, United-States, >50K
+34, Private, 231238, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+57, Private, 296152, Some-college, 10, Divorced, Exec-managerial, Other-relative, White, Female, 594, 0, 10, United-States, <=50K
+46, Private, 166003, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 281437, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 55, United-States, <=50K
+20, Private, 190231, 9th, 5, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 11, Nicaragua, <=50K
+47, Private, 122026, Assoc-voc, 11, Divorced, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+55, ?, 205527, HS-grad, 9, Divorced, ?, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K
+53, Self-emp-not-inc, 174102, 7th-8th, 4, Married-civ-spouse, Exec-managerial, Husband, White, Male, 4386, 0, 50, Greece, >50K
+43, Private, 125461, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 65, United-States, >50K
+80, Self-emp-not-inc, 184335, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 30, United-States, <=50K
+24, Private, 211345, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, Mexico, <=50K
+43, Local-gov, 147328, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 60, United-States, >50K
+22, Private, 222993, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 225978, Some-college, 10, Separated, Exec-managerial, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+48, Private, 121124, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+56, ?, 656036, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 25, United-States, <=50K
+34, ?, 346762, 11th, 7, Divorced, ?, Own-child, White, Male, 0, 0, 84, United-States, <=50K
+51, Private, 234057, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K
+24, Federal-gov, 306515, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+19, Private, 116562, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+34, Private, 171159, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 30, United-States, <=50K
+24, Private, 199011, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+41, Private, 443508, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 48, Canada, >50K
+24, Private, 29810, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K
+22, Local-gov, 238831, Some-college, 10, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+32, Federal-gov, 566117, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+41, Private, 255044, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K
+20, Private, 436253, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+31, Private, 300687, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+55, Private, 144071, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 18, United-States, >50K
+49, State-gov, 133917, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 1902, 60, ?, >50K
+26, Private, 188767, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+27, Self-emp-not-inc, 300777, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K
+35, Private, 26987, HS-grad, 9, Separated, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+40, Private, 174395, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 60, Greece, <=50K
+59, Private, 90290, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 34, United-States, <=50K
+61, Private, 183735, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K
+31, Private, 123273, HS-grad, 9, Never-married, Sales, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+43, Federal-gov, 186916, Masters, 14, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 60, United-States, >50K
+61, Private, 43554, 5th-6th, 3, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 2339, 40, United-States, <=50K
+54, Private, 178251, Assoc-acdm, 12, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 30, United-States, <=50K
+30, Private, 255885, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K
+20, Private, 64292, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+27, State-gov, 194773, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, Germany, <=50K
+44, Self-emp-inc, 133060, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+64, Private, 258006, Some-college, 10, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, Cuba, <=50K
+55, Private, 92215, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+34, Private, 33945, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 6849, 0, 55, United-States, <=50K
+61, Private, 153048, HS-grad, 9, Widowed, Sales, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+28, Private, 192200, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, ?, <=50K
+34, Private, 355571, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+47, Self-emp-inc, 139268, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 60, United-States, >50K
+26, Private, 34402, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+35, Private, 25955, 11th, 7, Never-married, Other-service, Unmarried, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K
+36, Private, 209609, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 38, United-States, <=50K
+47, Private, 168283, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+17, Private, 295488, 11th, 7, Never-married, Other-service, Own-child, Black, Female, 0, 0, 25, United-States, <=50K
+35, Private, 190895, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K
+33, Private, 164190, Masters, 14, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+25, Private, 216010, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K
+18, Private, 387568, 10th, 6, Never-married, Sales, Own-child, White, Male, 0, 0, 10, United-States, <=50K
+47, State-gov, 188386, Masters, 14, Separated, Prof-specialty, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K
+44, Private, 174491, HS-grad, 9, Widowed, Other-service, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K
+41, Private, 31221, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 30, United-States, <=50K
+30, Private, 272451, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+53, Self-emp-not-inc, 152652, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K
+53, Private, 104413, HS-grad, 9, Widowed, Other-service, Unmarried, Black, Female, 0, 0, 20, United-States, <=50K
+40, Private, 105936, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 5013, 0, 20, United-States, <=50K
+24, Private, 379066, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 2205, 24, United-States, <=50K
+27, Private, 214858, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+50, Private, 237735, 5th-6th, 3, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 37, Mexico, <=50K
+36, Private, 158592, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+41, Private, 237321, 1st-4th, 2, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, >50K
+41, Private, 23646, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+31, Private, 169240, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+32, Federal-gov, 454508, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 130356, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 48, United-States, <=50K
+22, Private, 427686, 10th, 6, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+18, Local-gov, 36411, 12th, 8, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+39, Private, 548510, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 30, United-States, <=50K
+38, Private, 187264, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 55, United-States, <=50K
+35, State-gov, 140752, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 325596, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+54, Self-emp-not-inc, 175804, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+36, Private, 107302, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K
+63, Local-gov, 41161, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, <=50K
+39, Private, 401832, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 48, United-States, <=50K
+57, Self-emp-not-inc, 353808, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K
+58, Self-emp-inc, 349910, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 50, United-States, >50K
+29, Private, 161478, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, Japan, <=50K
+17, Private, 400225, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+40, Private, 367533, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+69, Self-emp-not-inc, 69306, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 15, United-States, <=50K
+28, Private, 270366, 10th, 6, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+38, Private, 103751, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+44, Private, 75227, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 14084, 0, 40, United-States, >50K
+45, Local-gov, 132563, Prof-school, 15, Divorced, Prof-specialty, Unmarried, Black, Female, 0, 1726, 40, United-States, <=50K
+33, State-gov, 79580, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+41, Local-gov, 344624, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 1485, 40, United-States, >50K
+37, Self-emp-inc, 186359, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 60, United-States, >50K
+50, Private, 121685, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K
+48, Private, 75104, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K
+26, ?, 188343, HS-grad, 9, Never-married, ?, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+36, Private, 246449, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K
+21, Private, 85088, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 37, United-States, <=50K
+37, Private, 545483, Assoc-acdm, 12, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K
+20, State-gov, 243986, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+54, Self-emp-not-inc, 32778, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 30, United-States, <=50K
+28, Private, 369114, HS-grad, 9, Separated, Sales, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+27, Private, 217200, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 149220, Assoc-voc, 11, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+46, ?, 162034, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+28, ?, 157813, 11th, 7, Divorced, ?, Unmarried, White, Female, 0, 0, 58, Canada, <=50K
+17, ?, 179715, 10th, 6, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+40, Self-emp-not-inc, 335549, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 2444, 45, United-States, >50K
+47, Private, 102308, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+44, Private, 367749, 1st-4th, 2, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, El-Salvador, <=50K
+25, Private, 98281, 12th, 8, Never-married, Handlers-cleaners, Unmarried, White, Male, 0, 0, 43, United-States, <=50K
+35, Private, 115792, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, <=50K
+29, Private, 277788, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 25, United-States, <=50K
+30, Private, 103435, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 37646, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+56, Self-emp-not-inc, 385632, 7th-8th, 4, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+25, Self-emp-not-inc, 210278, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+28, Private, 335357, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+43, Self-emp-not-inc, 272165, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+47, Local-gov, 148995, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 60, United-States, >50K
+46, Self-emp-not-inc, 113434, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+41, State-gov, 132551, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 35, United-States, <=50K
+38, Federal-gov, 115433, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Wife, White, Female, 7688, 0, 33, United-States, >50K
+29, Private, 227890, HS-grad, 9, Never-married, Protective-serv, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K
+25, Private, 503012, 5th-6th, 3, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K
+56, Private, 250873, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+31, Private, 407930, 7th-8th, 4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 148187, 11th, 7, Never-married, Other-service, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 159322, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 334368, Some-college, 10, Separated, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+53, Private, 196328, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+45, Private, 270842, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, >50K
+71, Private, 235079, Preschool, 1, Widowed, Craft-repair, Unmarried, Black, Male, 0, 0, 10, United-States, <=50K
+65, ?, 327154, HS-grad, 9, Widowed, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+39, Private, 188391, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 50, United-States, >50K
+19, Federal-gov, 30559, HS-grad, 9, Married-AF-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, <=50K
+34, Local-gov, 255098, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+36, Private, 248010, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, <=50K
+40, Private, 174515, HS-grad, 9, Married-spouse-absent, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+90, Private, 171956, Some-college, 10, Separated, Adm-clerical, Own-child, White, Female, 0, 0, 40, Puerto-Rico, <=50K
+56, Private, 193130, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 16, United-States, <=50K
+21, Private, 108670, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+48, Private, 186172, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+45, Private, 348854, Some-college, 10, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 27, United-States, <=50K
+46, Private, 271828, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K
+64, Private, 148606, 10th, 6, Separated, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+29, Local-gov, 123983, Masters, 14, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, Taiwan, <=50K
+22, Private, 24896, HS-grad, 9, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 30, Germany, <=50K
+47, Private, 573583, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 48, Italy, >50K
+67, Self-emp-inc, 106175, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2392, 75, United-States, >50K
+43, Private, 307767, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+42, Private, 200574, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 59083, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 1672, 50, United-States, <=50K
+53, Private, 358056, 11th, 7, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+81, Private, 114670, 9th, 5, Widowed, Priv-house-serv, Not-in-family, Black, Female, 2062, 0, 5, United-States, <=50K
+33, Local-gov, 262042, HS-grad, 9, Divorced, Adm-clerical, Own-child, White, Female, 0, 1138, 40, United-States, <=50K
+17, Private, 206010, 12th, 8, Never-married, Other-service, Own-child, White, Female, 0, 0, 8, United-States, <=50K
+55, Self-emp-inc, 183869, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, ?, >50K
+28, Private, 159001, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+24, Private, 155818, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+40, Private, 96055, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 45, United-States, <=50K
+30, Local-gov, 131776, Masters, 14, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+24, Private, 228613, 11th, 7, Never-married, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+26, Private, 198163, Masters, 14, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, <=50K
+38, Private, 37028, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 38, United-States, <=50K
+30, Private, 177304, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K
+33, Private, 144064, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K
+40, Private, 146659, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K
+63, Self-emp-not-inc, 26904, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 98, United-States, <=50K
+23, Private, 238917, 7th-8th, 4, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 36, United-States, <=50K
+56, Private, 170148, HS-grad, 9, Divorced, Craft-repair, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K
+42, Self-emp-not-inc, 27821, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K
+40, Private, 220460, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Canada, <=50K
+49, Private, 101320, Assoc-acdm, 12, Married-civ-spouse, Sales, Wife, White, Female, 0, 1902, 40, United-States, >50K
+35, Private, 173858, HS-grad, 9, Married-spouse-absent, Craft-repair, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, ?, <=50K
+52, Private, 91048, HS-grad, 9, Divorced, Machine-op-inspct, Own-child, Black, Female, 0, 0, 35, United-States, <=50K
+28, Private, 298696, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+35, Private, 207202, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 70, United-States, <=50K
+21, ?, 230397, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 5, United-States, <=50K
+43, Self-emp-not-inc, 180599, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+32, ?, 199046, Assoc-voc, 11, Never-married, ?, Unmarried, White, Female, 0, 0, 2, United-States, <=50K
+29, Self-emp-not-inc, 132686, Prof-school, 15, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 50, Italy, >50K
+23, Private, 240063, Bachelors, 13, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 25, United-States, <=50K
+50, Local-gov, 177705, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 1740, 48, United-States, <=50K
+34, Private, 511361, Some-college, 10, Never-married, Other-service, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+19, Private, 89397, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+47, Private, 239439, 11th, 7, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female, 0, 0, 40, United-States, <=50K
+37, Self-emp-not-inc, 36989, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 76978, HS-grad, 9, Never-married, Sales, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K
+75, Private, 200068, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 35, United-States, >50K
+24, Private, 454941, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+28, State-gov, 107218, Bachelors, 13, Never-married, Tech-support, Own-child, Asian-Pac-Islander, Male, 0, 0, 20, United-States, <=50K
+17, Local-gov, 182070, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 16, United-States, <=50K
+31, Private, 176360, HS-grad, 9, Never-married, Craft-repair, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+31, Private, 452405, Preschool, 1, Never-married, Other-service, Other-relative, White, Female, 0, 0, 35, Mexico, <=50K
+18, ?, 297396, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 10, United-States, <=50K
+45, Private, 84790, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K
+31, Private, 186787, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 42, United-States, <=50K
+27, Private, 169662, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 42, United-States, >50K
+48, Private, 125933, Some-college, 10, Widowed, Exec-managerial, Unmarried, Black, Female, 0, 1669, 38, United-States, <=50K
+22, ?, 35448, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 22, United-States, <=50K
+34, Private, 225548, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 30, United-States, <=50K
+26, Private, 240842, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+53, Private, 103931, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+60, Private, 232618, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 35, United-States, >50K
+49, Local-gov, 288548, Masters, 14, Separated, Prof-specialty, Unmarried, White, Female, 0, 0, 50, United-States, <=50K
+40, Private, 220609, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+48, Self-emp-inc, 26145, 10th, 6, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 80, United-States, <=50K
+23, Private, 268525, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+68, ?, 133758, 7th-8th, 4, Widowed, ?, Not-in-family, Black, Male, 0, 0, 10, United-States, <=50K
+42, Private, 121264, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+37, Self-emp-not-inc, 29814, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 85, United-States, <=50K
+27, Private, 193701, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Female, 0, 0, 45, United-States, <=50K
+38, Private, 183279, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 44, United-States, >50K
+27, Private, 163942, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 35, Ireland, <=50K
+75, Private, 188612, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+49, Self-emp-inc, 102771, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 52, United-States, >50K
+27, Private, 85625, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K
+36, Self-emp-not-inc, 245090, Bachelors, 13, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 50, Mexico, <=50K
+36, Private, 131239, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 3103, 0, 45, United-States, >50K
+35, Private, 182074, HS-grad, 9, Divorced, Handlers-cleaners, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+36, Private, 187046, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+53, Private, 90624, 11th, 7, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+27, Private, 37933, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+34, Private, 182177, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 3325, 0, 35, United-States, <=50K
+61, Private, 716416, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 44, United-States, >50K
+29, Private, 190562, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Male, 0, 0, 56, United-States, <=50K
+40, State-gov, 141583, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K
+37, Private, 98941, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+22, Private, 201729, 9th, 5, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 30, United-States, <=50K
+43, Self-emp-inc, 175485, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+55, Self-emp-not-inc, 149168, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 30, United-States, <=50K
+28, Private, 115971, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+23, Private, 161708, Bachelors, 13, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+64, Local-gov, 244903, 11th, 7, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, >50K
+46, Private, 155664, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 112754, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+44, Private, 178385, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 48, India, <=50K
+20, Private, 44064, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 25, United-States, <=50K
+62, Self-emp-not-inc, 120939, Some-college, 10, Divorced, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+49, Private, 165134, Assoc-voc, 11, Never-married, Exec-managerial, Unmarried, White, Female, 0, 0, 35, Columbia, <=50K
+29, Private, 100405, 10th, 6, Married-civ-spouse, Farming-fishing, Wife, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K
+35, Self-emp-not-inc, 361888, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, Japan, <=50K
+39, Local-gov, 167864, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 30, United-States, <=50K
+39, Private, 202950, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+37, Private, 218188, HS-grad, 9, Divorced, Machine-op-inspct, Other-relative, White, Female, 0, 0, 32, United-States, <=50K
+38, Private, 234962, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 2829, 0, 30, Mexico, <=50K
+72, ?, 177226, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 8, United-States, <=50K
+31, Private, 259931, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+55, Private, 189528, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K
+38, Private, 34996, Some-college, 10, Separated, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+33, Private, 112584, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K
+25, Private, 117589, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+19, ?, 145234, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+37, Private, 267086, Assoc-voc, 11, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 52, United-States, <=50K
+49, Private, 44434, Some-college, 10, Divorced, Tech-support, Other-relative, White, Male, 0, 0, 35, United-States, <=50K
+26, Private, 96130, HS-grad, 9, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 181382, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 43, United-States, <=50K
+44, Self-emp-inc, 168845, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 60, United-States, <=50K
+37, Private, 271767, Masters, 14, Separated, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, >50K
+42, Private, 194636, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K
+64, State-gov, 194894, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Female, 4787, 0, 40, United-States, >50K
+28, Private, 132686, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K
+35, Self-emp-not-inc, 185848, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 4650, 0, 50, United-States, <=50K
+40, State-gov, 184378, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+55, Federal-gov, 270859, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+21, Private, 231866, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 65, United-States, <=50K
+49, Private, 36032, Some-college, 10, Never-married, Exec-managerial, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+51, State-gov, 172962, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+57, Private, 98350, Prof-school, 15, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 1902, 40, Philippines, >50K
+51, Private, 24185, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+38, Private, 53930, 10th, 6, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, ?, <=50K
+24, Private, 85088, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 1762, 32, United-States, <=50K
+45, Self-emp-not-inc, 94962, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, England, <=50K
+28, Private, 480861, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, <=50K
+42, Self-emp-inc, 187702, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2415, 60, United-States, >50K
+22, Private, 52262, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+28, State-gov, 52636, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+60, Private, 175273, HS-grad, 9, Widowed, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+31, Private, 327825, HS-grad, 9, Separated, Machine-op-inspct, Unmarried, White, Female, 0, 2238, 40, United-States, <=50K
+47, Private, 125892, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 75, United-States, >50K
+40, ?, 78255, HS-grad, 9, Divorced, ?, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K
+30, Private, 398827, HS-grad, 9, Married-AF-spouse, Adm-clerical, Husband, White, Male, 0, 0, 60, United-States, <=50K
+61, Private, 208919, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K
+71, Local-gov, 365996, Bachelors, 13, Widowed, Prof-specialty, Unmarried, White, Female, 0, 0, 6, United-States, <=50K
+42, Private, 307638, HS-grad, 9, Divorced, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+44, Local-gov, 33068, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K
+46, Self-emp-not-inc, 254291, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K
+50, Local-gov, 125417, Prof-school, 15, Never-married, Exec-managerial, Not-in-family, Black, Female, 0, 0, 52, United-States, >50K
+27, State-gov, 28848, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 9, United-States, <=50K
+40, ?, 273425, Assoc-voc, 11, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 15, United-States, <=50K
+21, Private, 194723, Some-college, 10, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 40, Mexico, <=50K
+25, Private, 195118, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 35, United-States, <=50K
+61, Private, 123273, 5th-6th, 3, Divorced, Transport-moving, Not-in-family, White, Male, 0, 1876, 56, United-States, <=50K
+54, Private, 220115, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+31, Private, 265706, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+53, Self-emp-not-inc, 279129, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 30, United-States, <=50K
+39, Self-emp-inc, 122742, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 55, United-States, >50K
+57, Self-emp-inc, 172654, Prof-school, 15, Married-civ-spouse, Transport-moving, Husband, White, Male, 15024, 0, 50, United-States, >50K
+48, Private, 119199, Bachelors, 13, Divorced, Sales, Unmarried, White, Female, 0, 0, 44, United-States, <=50K
+30, Private, 107793, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 56, United-States, >50K
+35, Private, 237943, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 60, United-States, <=50K
+42, Self-emp-not-inc, 64632, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K
+34, Self-emp-not-inc, 96245, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+59, Private, 361494, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+69, Local-gov, 122850, 10th, 6, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 20, United-States, <=50K
+29, Private, 173652, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+40, Private, 164663, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 98678, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 15, United-States, <=50K
+40, Private, 245529, Assoc-acdm, 12, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+43, Private, 55294, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 140583, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+41, Private, 79797, HS-grad, 9, Married-spouse-absent, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, Japan, >50K
+72, ?, 113044, HS-grad, 9, Widowed, ?, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+20, Private, 283499, Some-college, 10, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+41, Local-gov, 51111, Bachelors, 13, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+34, Private, 232475, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+48, Private, 176140, 11th, 7, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+27, Private, 301654, HS-grad, 9, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+35, Private, 376455, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 60, United-States, >50K
+28, ?, 192569, HS-grad, 9, Never-married, ?, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+27, Private, 229803, HS-grad, 9, Never-married, Craft-repair, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+20, Private, 337639, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+18, Private, 130849, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+32, Private, 296282, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 266645, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K
+23, State-gov, 110128, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 90196, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+40, State-gov, 40024, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 38, United-States, >50K
+35, Private, 144322, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+74, Self-emp-inc, 162340, Some-college, 10, Widowed, Exec-managerial, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 169069, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 113601, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+20, Self-emp-not-inc, 157145, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 2258, 10, United-States, <=50K
+44, Private, 111275, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 56, United-States, <=50K
+46, Local-gov, 102076, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 25, United-States, <=50K
+20, ?, 182117, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+51, Self-emp-not-inc, 145409, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 50, United-States, >50K
+40, Private, 190122, Some-college, 10, Separated, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+48, Private, 331482, Prof-school, 15, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 1977, 40, United-States, >50K
+60, Self-emp-not-inc, 170114, 9th, 5, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 1672, 84, United-States, <=50K
+48, Self-emp-inc, 193188, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+46, Local-gov, 267588, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 70, United-States, <=50K
+48, Self-emp-inc, 200471, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+22, ?, 175586, HS-grad, 9, Never-married, ?, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K
+24, Local-gov, 322658, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+45, State-gov, 263982, Some-college, 10, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+18, Private, 266287, 12th, 8, Never-married, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+39, Private, 278187, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+65, Self-emp-inc, 81413, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 2352, 65, United-States, <=50K
+22, Private, 221745, Some-college, 10, Divorced, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+20, Private, 140764, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+28, Private, 206351, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+46, Private, 176814, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 50, United-States, >50K
+42, Local-gov, 245307, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 48, United-States, >50K
+61, State-gov, 124971, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, ?, >50K
+28, Private, 119545, Some-college, 10, Married-civ-spouse, Exec-managerial, Own-child, White, Male, 7688, 0, 50, United-States, >50K
+18, Private, 179203, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+24, Federal-gov, 44075, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K
+45, Private, 178319, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 56, United-States, >50K
+24, Private, 219754, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+44, Private, 198316, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K
+20, Private, 168165, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+35, Private, 356838, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 2829, 0, 55, Poland, <=50K
+52, Self-emp-inc, 210736, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K
+25, Private, 173212, Assoc-acdm, 12, Never-married, Farming-fishing, Not-in-family, White, Male, 2354, 0, 45, United-States, <=50K
+19, Private, 130431, 5th-6th, 3, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 36, Mexico, <=50K
+35, ?, 169809, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 20, United-States, <=50K
+54, Private, 197481, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+21, Private, 155066, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 31290, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K
+42, Private, 54102, Assoc-voc, 11, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+19, Private, 181546, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+55, Private, 153484, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 50, United-States, >50K
+44, State-gov, 351228, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 131976, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 55, United-States, <=50K
+26, Private, 200639, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+64, Federal-gov, 267546, Assoc-acdm, 12, Separated, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, >50K
+41, Private, 179875, 11th, 7, Divorced, Other-service, Unmarried, Other, Female, 0, 0, 40, United-States, <=50K
+25, ?, 237865, Some-college, 10, Never-married, ?, Own-child, Black, Male, 0, 0, 40, ?, <=50K
+43, Private, 300528, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+45, Private, 67716, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 10520, 0, 48, United-States, >50K
+48, Federal-gov, 326048, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 44, United-States, >50K
+60, Private, 191188, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+45, Self-emp-not-inc, 32172, Some-college, 10, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+51, Private, 252903, 10th, 6, Married-civ-spouse, Sales, Husband, White, Male, 0, 1977, 40, United-States, >50K
+37, Federal-gov, 334314, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+22, Private, 83704, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+44, Private, 160574, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 65, United-States, >50K
+27, Private, 203776, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+47, Local-gov, 328610, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 295589, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 1977, 40, United-States, >50K
+40, Private, 174373, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+41, Private, 247752, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+32, ?, 199244, 10th, 6, Divorced, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+26, Private, 139992, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+47, Private, 95680, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K
+55, Self-emp-inc, 189933, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K
+38, Private, 498785, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+24, State-gov, 177526, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 15, United-States, <=50K
+64, Self-emp-not-inc, 150121, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 25, United-States, >50K
+56, Federal-gov, 130454, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+41, Private, 119079, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 49, United-States, >50K
+33, Private, 220939, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 7298, 0, 45, United-States, >50K
+33, Private, 94235, Prof-school, 15, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 42, United-States, >50K
+21, Private, 305874, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+59, Local-gov, 62020, HS-grad, 9, Widowed, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+58, Private, 235624, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, Germany, >50K
+43, Local-gov, 247514, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 275726, HS-grad, 9, Never-married, Craft-repair, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+45, Private, 72896, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+53, Local-gov, 110510, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 50, United-States, >50K
+41, Private, 173938, Prof-school, 15, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, ?, >50K
+27, Private, 200641, 10th, 6, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, Mexico, <=50K
+53, Private, 211654, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, ?, >50K
+38, Private, 242720, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, >50K
+31, Private, 111567, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 70, United-States, >50K
+41, Private, 179533, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 35, United-States, <=50K
+22, State-gov, 334693, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+43, Self-emp-not-inc, 198096, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K
+41, State-gov, 355756, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 19395, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Wife, White, Female, 0, 0, 35, United-States, <=50K
+41, Local-gov, 242586, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 208358, Prof-school, 15, Divorced, Prof-specialty, Not-in-family, White, Male, 99999, 0, 45, United-States, >50K
+49, Private, 160647, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K
+20, Private, 227943, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 45, United-States, <=50K
+58, Self-emp-not-inc, 197665, HS-grad, 9, Married-spouse-absent, Other-service, Unmarried, White, Female, 0, 0, 45, United-States, <=50K
+35, Self-emp-not-inc, 216129, 12th, 8, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 40, Trinadad&Tobago, <=50K
+30, Local-gov, 326104, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K
+21, Private, 57211, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 100219, Assoc-acdm, 12, Never-married, Machine-op-inspct, Unmarried, White, Male, 0, 0, 45, United-States, <=50K
+40, Private, 291192, HS-grad, 9, Widowed, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+54, State-gov, 93415, Bachelors, 13, Never-married, Prof-specialty, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, United-States, >50K
+35, Private, 191502, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K
+35, Private, 261382, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K
+40, Private, 170230, Bachelors, 13, Married-spouse-absent, Other-service, Not-in-family, White, Female, 0, 0, 40, ?, <=50K
+59, Private, 374924, HS-grad, 9, Separated, Sales, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+43, Self-emp-inc, 320984, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, <=50K
+39, Private, 338320, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, >50K
+51, Private, 135190, 7th-8th, 4, Separated, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 30, United-States, <=50K
+71, Private, 157909, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 2964, 0, 60, United-States, <=50K
+33, Private, 637222, 12th, 8, Divorced, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+28, Private, 430084, HS-grad, 9, Divorced, Other-service, Own-child, Black, Male, 0, 0, 35, United-States, <=50K
+30, Private, 125279, HS-grad, 9, Married-spouse-absent, Sales, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 221955, 5th-6th, 3, Married-spouse-absent, Farming-fishing, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K
+51, Self-emp-inc, 180195, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K
+39, Private, 208778, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, United-States, >50K
+62, Private, 81534, Some-college, 10, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, >50K
+37, Private, 325538, HS-grad, 9, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 60, ?, <=50K
+28, Private, 142264, 9th, 5, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 50, Dominican-Republic, <=50K
+23, Private, 128604, HS-grad, 9, Never-married, Sales, Own-child, Asian-Pac-Islander, Male, 0, 0, 48, South, <=50K
+39, Private, 277886, Bachelors, 13, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 30, United-States, <=50K
+50, Self-emp-inc, 100029, Bachelors, 13, Widowed, Sales, Unmarried, White, Male, 0, 0, 65, United-States, >50K
+31, Private, 169269, 7th-8th, 4, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+45, Local-gov, 160472, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 50, United-States, >50K
+23, ?, 123983, Bachelors, 13, Never-married, ?, Own-child, Other, Male, 0, 0, 40, United-States, <=50K
+47, Private, 297884, 10th, 6, Widowed, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+59, Private, 99131, HS-grad, 9, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 18, United-States, <=50K
+32, Private, 44392, Assoc-acdm, 12, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+82, ?, 29441, 7th-8th, 4, Widowed, ?, Not-in-family, White, Male, 0, 0, 5, United-States, <=50K
+49, Private, 199029, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 2415, 55, United-States, >50K
+74, Federal-gov, 181508, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Male, 0, 0, 17, United-States, <=50K
+22, Private, 190625, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+32, Private, 194740, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, Greece, <=50K
+34, Private, 27380, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, >50K
+59, Private, 160631, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, >50K
+36, Private, 224531, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+59, Private, 283005, 11th, 7, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+47, Self-emp-inc, 101926, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 70, United-States, >50K
+53, Local-gov, 135102, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 2002, 45, United-States, <=50K
+25, Self-emp-not-inc, 113436, Some-college, 10, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 35, United-States, <=50K
+44, Private, 248973, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, Black, Male, 0, 0, 65, United-States, <=50K
+57, Self-emp-not-inc, 225334, Prof-school, 15, Married-civ-spouse, Sales, Wife, White, Female, 15024, 0, 35, United-States, >50K
+42, Self-emp-not-inc, 157562, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 1902, 80, United-States, >50K
+58, Local-gov, 310085, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+39, Private, 129597, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 3464, 0, 40, United-States, <=50K
+32, ?, 53042, HS-grad, 9, Never-married, ?, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+45, Private, 204205, 7th-8th, 4, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K
+47, Private, 169324, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, Black, Female, 0, 0, 35, United-States, >50K
+52, ?, 134447, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 50, United-States, <=50K
+56, Self-emp-not-inc, 236731, 1st-4th, 2, Separated, Exec-managerial, Not-in-family, White, Male, 0, 0, 25, ?, <=50K
+52, Private, 141301, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+34, Private, 235124, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K
+36, Self-emp-not-inc, 367020, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K
+41, Private, 149102, HS-grad, 9, Married-spouse-absent, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Poland, <=50K
+30, Private, 423770, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, Mexico, <=50K
+44, Private, 211759, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Other, Male, 0, 0, 40, Puerto-Rico, <=50K
+17, ?, 110998, Some-college, 10, Never-married, ?, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K
+34, Private, 56883, Some-college, 10, Never-married, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+41, Private, 223062, Some-college, 10, Separated, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+29, Private, 406662, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 206600, 9th, 5, Never-married, Machine-op-inspct, Other-relative, White, Male, 0, 0, 48, Mexico, <=50K
+42, Local-gov, 147510, Bachelors, 13, Separated, Prof-specialty, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+48, Private, 235646, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 3103, 0, 40, United-States, >50K
+26, Private, 187577, Assoc-voc, 11, Never-married, Sales, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K
+64, Self-emp-inc, 132832, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 20051, 0, 40, ?, >50K
+46, Self-emp-inc, 278322, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K
+38, Private, 278924, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 50, United-States, >50K
+49, State-gov, 203039, 11th, 7, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 145651, Some-college, 10, Never-married, Sales, Own-child, Black, Female, 0, 0, 20, United-States, <=50K
+46, Local-gov, 144531, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, >50K
+30, Private, 91145, HS-grad, 9, Never-married, Handlers-cleaners, Unmarried, White, Male, 0, 0, 55, United-States, <=50K
+49, Self-emp-not-inc, 211762, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+47, ?, 111563, Assoc-voc, 11, Divorced, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+44, Private, 180985, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, ?, >50K
+31, Private, 207537, HS-grad, 9, Divorced, Craft-repair, Own-child, White, Male, 0, 1669, 50, United-States, <=50K
+19, Private, 417657, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 50, United-States, <=50K
+45, Private, 189890, Assoc-acdm, 12, Divorced, Prof-specialty, Unmarried, White, Female, 5455, 0, 38, United-States, <=50K
+34, Private, 223212, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1848, 40, Peru, >50K
+26, Private, 108658, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+38, Self-emp-not-inc, 190023, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K
+31, Private, 222130, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 43, United-States, <=50K
+36, Self-emp-inc, 164866, Assoc-acdm, 12, Separated, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+31, Private, 170983, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K
+30, Private, 186269, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 286026, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+30, Private, 403433, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Black, Male, 0, 0, 50, United-States, >50K
+21, ?, 224209, HS-grad, 9, Married-civ-spouse, ?, Wife, Black, Female, 0, 0, 30, United-States, <=50K
+73, Private, 123160, 10th, 6, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 10, United-States, <=50K
+38, Federal-gov, 99527, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+30, Private, 123178, 10th, 6, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+33, Private, 231043, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K
+52, Local-gov, 317733, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 40, United-States, >50K
+58, Private, 241056, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 46, United-States, <=50K
+34, Local-gov, 220066, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+35, Private, 180342, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+59, Federal-gov, 31840, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+45, Private, 183168, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+27, Private, 386036, Some-college, 10, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K
+31, Local-gov, 446358, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, Mexico, >50K
+45, Private, 28035, Some-college, 10, Never-married, Farming-fishing, Other-relative, White, Male, 0, 0, 50, United-States, <=50K
+40, Private, 282155, HS-grad, 9, Separated, Other-service, Other-relative, White, Female, 0, 0, 25, United-States, <=50K
+27, Private, 192384, Prof-school, 15, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+19, Private, 383637, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+29, Private, 457402, 5th-6th, 3, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 25, Mexico, <=50K
+34, Self-emp-inc, 80249, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 72, United-States, <=50K
+32, State-gov, 159537, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+49, Private, 240859, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Cuba, <=50K
+33, Private, 83446, 11th, 7, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, >50K
+74, ?, 29866, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 2, United-States, <=50K
+62, Private, 185503, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+39, Self-emp-not-inc, 68781, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+43, Private, 220589, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+22, Private, 51136, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K
+24, Private, 54560, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K
+76, ?, 28221, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, Canada, >50K
+25, Private, 201413, Some-college, 10, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+19, Private, 40425, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 28, United-States, <=50K
+31, Private, 189461, Assoc-acdm, 12, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 41, United-States, <=50K
+53, Private, 200576, 11th, 7, Divorced, Craft-repair, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+61, Private, 92691, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 3, United-States, <=50K
+47, Private, 664821, Bachelors, 13, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, El-Salvador, <=50K
+37, Private, 175130, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 45, United-States, <=50K
+50, Self-emp-not-inc, 391016, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+27, Private, 249315, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 44, United-States, <=50K
+58, Private, 111169, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+43, Private, 334946, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+39, Private, 352248, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 173804, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+56, Private, 155449, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K
+26, Private, 73689, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 55, United-States, <=50K
+23, Private, 227594, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 38, United-States, <=50K
+47, Private, 161676, 11th, 7, Never-married, Transport-moving, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+68, Private, 75913, 12th, 8, Widowed, Sales, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+47, Local-gov, 242552, Some-college, 10, Never-married, Protective-serv, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+45, Federal-gov, 352094, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 7688, 0, 40, Guatemala, >50K
+26, Private, 159732, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K
+20, Private, 131230, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 1590, 40, United-States, <=50K
+46, Private, 180695, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+37, Private, 189922, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 50, United-States, >50K
+37, Private, 409189, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+43, Private, 111252, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 42, United-States, <=50K
+59, Private, 294395, Masters, 14, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+39, Private, 172718, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+32, Private, 43403, Some-college, 10, Divorced, Farming-fishing, Not-in-family, White, Female, 0, 1590, 54, United-States, <=50K
+63, Private, 111963, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 16, United-States, <=50K
+45, Private, 247869, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K
+59, Private, 114032, Bachelors, 13, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+36, ?, 356838, 12th, 8, Never-married, ?, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+26, Private, 179633, HS-grad, 9, Never-married, Tech-support, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 19847, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+41, Private, 231689, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+26, Private, 209942, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+53, Private, 197492, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+33, Private, 262439, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 35, United-States, >50K
+46, Private, 283037, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+79, ?, 144533, HS-grad, 9, Widowed, ?, Not-in-family, Black, Female, 0, 0, 30, United-States, <=50K
+31, Private, 83446, HS-grad, 9, Widowed, Craft-repair, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+24, Private, 215443, HS-grad, 9, Separated, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+57, Local-gov, 268252, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 62, United-States, <=50K
+40, Private, 181015, HS-grad, 9, Separated, Other-service, Unmarried, White, Female, 0, 0, 47, United-States, <=50K
+41, Self-emp-inc, 139916, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, Other, Male, 0, 2179, 84, Mexico, <=50K
+20, Private, 195770, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 26, United-States, <=50K
+45, Private, 125194, 11th, 7, Never-married, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+27, Private, 58654, Assoc-voc, 11, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+36, Private, 252327, 5th-6th, 3, Married-spouse-absent, Craft-repair, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K
+30, Private, 116508, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Germany, <=50K
+36, Private, 166988, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K
+25, Private, 374163, HS-grad, 9, Married-spouse-absent, Farming-fishing, Not-in-family, Other, Male, 0, 0, 40, Mexico, <=50K
+30, ?, 96851, Some-college, 10, Never-married, ?, Not-in-family, White, Female, 0, 1719, 25, United-States, <=50K
+31, Private, 196788, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K
+49, Private, 186172, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 45, United-States, >50K
+26, Private, 245628, 11th, 7, Never-married, Handlers-cleaners, Unmarried, White, Male, 0, 0, 20, United-States, <=50K
+25, Private, 159732, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 129856, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+24, Private, 182812, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 3325, 0, 52, Dominican-Republic, <=50K
+41, Private, 314322, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+35, Private, 102976, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+57, Self-emp-inc, 42959, Bachelors, 13, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, >50K
+21, Private, 256356, 11th, 7, Never-married, Priv-house-serv, Other-relative, White, Female, 0, 0, 40, Mexico, <=50K
+29, Private, 136277, 10th, 6, Never-married, Other-service, Own-child, Black, Female, 0, 0, 32, United-States, <=50K
+36, Private, 284616, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 185554, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+51, Private, 138847, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+39, Private, 33487, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 84306, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 5013, 0, 50, United-States, <=50K
+40, Self-emp-not-inc, 223881, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 70, United-States, >50K
+61, Private, 149653, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K
+38, Private, 348739, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K
+20, ?, 235442, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+21, Private, 34506, HS-grad, 9, Separated, Other-service, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+40, Private, 346964, HS-grad, 9, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+46, Private, 192208, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+21, Private, 305874, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 54, United-States, <=50K
+35, Self-emp-not-inc, 462890, 10th, 6, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 50, United-States, <=50K
+39, Private, 89508, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+38, Self-emp-not-inc, 200153, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K
+30, Private, 179446, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+28, Private, 208965, 9th, 5, Never-married, Machine-op-inspct, Unmarried, Other, Male, 0, 0, 40, Mexico, <=50K
+32, Private, 40142, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+46, Self-emp-not-inc, 57452, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+40, Private, 327573, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+47, Private, 151267, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female, 15024, 0, 40, United-States, >50K
+44, Private, 265266, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 203836, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 3464, 0, 40, Columbia, <=50K
+51, ?, 163998, HS-grad, 9, Married-spouse-absent, ?, Not-in-family, White, Male, 0, 0, 20, United-States, >50K
+46, Self-emp-not-inc, 28281, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, >50K
+51, Private, 293196, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 60, Iran, >50K
+45, Private, 214627, Doctorate, 16, Widowed, Prof-specialty, Unmarried, White, Male, 15020, 0, 40, Iran, >50K
+20, Private, 368852, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+44, Private, 353396, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K
+33, Private, 161745, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 45, United-States, <=50K
+18, Private, 97963, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+61, Self-emp-inc, 156542, Prof-school, 15, Separated, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+50, State-gov, 198103, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+47, Federal-gov, 55377, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+34, Private, 173730, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+53, Private, 374588, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 60, United-States, <=50K
+39, Self-emp-not-inc, 174330, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+58, Private, 78141, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+66, ?, 190324, HS-grad, 9, Married-civ-spouse, ?, Husband, Black, Male, 0, 0, 18, United-States, <=50K
+26, Private, 31350, 11th, 7, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+41, Private, 243607, 5th-6th, 3, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+47, Local-gov, 134671, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 197023, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K
+52, Private, 117674, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+29, Private, 169815, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+43, Private, 598606, 9th, 5, Separated, Handlers-cleaners, Unmarried, Black, Female, 0, 0, 50, United-States, <=50K
+42, Federal-gov, 122861, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+35, Private, 166235, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 30, United-States, <=50K
+41, Private, 187821, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 2885, 0, 40, United-States, <=50K
+34, Private, 340940, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 7298, 0, 60, United-States, >50K
+52, Self-emp-not-inc, 194791, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+61, Private, 231323, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+39, Local-gov, 305597, HS-grad, 9, Separated, Exec-managerial, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+19, Private, 25429, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K
+46, State-gov, 192779, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 40, United-States, >50K
+39, Private, 346478, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+22, Private, 341368, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+30, State-gov, 295612, HS-grad, 9, Separated, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+40, Private, 168936, Assoc-voc, 11, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K
+43, Private, 218558, Bachelors, 13, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male, 3325, 0, 40, United-States, <=50K
+37, Private, 336598, 5th-6th, 3, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 36, Mexico, <=50K
+23, Private, 308205, Assoc-acdm, 12, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+39, Local-gov, 357173, Assoc-acdm, 12, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 59, United-States, <=50K
+54, Private, 457237, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+46, Self-emp-inc, 284799, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K
+20, Private, 179423, Some-college, 10, Never-married, Transport-moving, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+50, Self-emp-not-inc, 363405, Bachelors, 13, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 50, United-States, >50K
+17, Private, 139183, 10th, 6, Never-married, Sales, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+36, Private, 203482, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 112554, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K
+53, Private, 99476, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K
+50, Private, 93690, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K
+38, Private, 220585, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+63, Self-emp-not-inc, 194638, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 32, United-States, <=50K
+53, Private, 154785, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K
+40, ?, 162108, Bachelors, 13, Divorced, ?, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+23, Self-emp-inc, 214542, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+20, Private, 161922, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 43, United-States, <=50K
+46, Private, 207940, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, >50K
+28, Private, 259351, 10th, 6, Never-married, Other-service, Other-relative, Amer-Indian-Eskimo, Male, 0, 0, 40, Mexico, <=50K
+59, Private, 208395, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+41, Private, 116391, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+33, Private, 239781, Preschool, 1, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+56, Private, 174351, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Italy, <=50K
+50, Self-emp-not-inc, 44368, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 55, El-Salvador, >50K
+31, Local-gov, 188798, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+41, Private, 50122, Assoc-voc, 11, Divorced, Sales, Own-child, White, Male, 0, 0, 50, United-States, <=50K
+38, Private, 111398, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 7688, 0, 40, United-States, >50K
+25, State-gov, 152035, Assoc-acdm, 12, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+18, ?, 139003, HS-grad, 9, Never-married, ?, Other-relative, Other, Female, 0, 0, 12, United-States, <=50K
+49, Local-gov, 249289, Bachelors, 13, Divorced, Prof-specialty, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+39, Private, 257726, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+22, ?, 113175, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+21, Private, 151158, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+35, Private, 465326, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+21, ?, 356772, HS-grad, 9, Never-married, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+38, Private, 364782, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+55, Private, 198385, 7th-8th, 4, Widowed, Other-service, Unmarried, White, Female, 0, 0, 20, ?, <=50K
+31, Private, 329301, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K
+17, Self-emp-inc, 254859, 11th, 7, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+31, Private, 203488, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 7298, 0, 50, United-States, >50K
+25, Local-gov, 222800, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+39, Private, 96452, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K
+50, Private, 170050, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+38, Local-gov, 116580, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 20, United-States, >50K
+50, Private, 400004, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K
+63, Private, 183608, 10th, 6, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 194055, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K
+23, Private, 210443, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+18, Private, 43272, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+43, Local-gov, 108945, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 48, United-States, <=50K
+34, Private, 114691, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+18, Private, 304169, 11th, 7, Never-married, Sales, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+46, Private, 503923, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 4386, 0, 40, United-States, >50K
+35, Private, 340428, Bachelors, 13, Never-married, Sales, Unmarried, White, Female, 0, 0, 40, United-States, >50K
+46, State-gov, 106705, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K
+59, Private, 146391, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 7298, 0, 40, United-States, >50K
+31, Private, 235389, 7th-8th, 4, Never-married, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 30, Portugal, <=50K
+27, Private, 39665, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 37, United-States, <=50K
+41, Private, 113823, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, England, <=50K
+42, Private, 217826, HS-grad, 9, Never-married, Craft-repair, Own-child, Black, Male, 0, 0, 40, ?, <=50K
+55, Private, 349304, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+34, ?, 197688, HS-grad, 9, Never-married, ?, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+44, Private, 54507, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+26, Private, 117833, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 1669, 50, United-States, <=50K
+36, Private, 163396, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K
+69, Private, 88566, 9th, 5, Married-civ-spouse, Other-service, Husband, White, Male, 1424, 0, 35, United-States, <=50K
+33, Private, 323619, Some-college, 10, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+30, Private, 75755, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 148903, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 16, United-States, >50K
+25, Private, 40915, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, >50K
+21, Private, 182606, Some-college, 10, Never-married, Other-service, Own-child, Black, Male, 0, 0, 40, ?, <=50K
+18, Private, 131033, 11th, 7, Never-married, Other-service, Other-relative, Black, Male, 0, 0, 15, United-States, <=50K
+35, Self-emp-not-inc, 168475, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, >50K
+20, Private, 121568, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 50, United-States, <=50K
+26, Private, 139098, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 5013, 0, 40, United-States, <=50K
+46, Private, 357338, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 283268, Bachelors, 13, Never-married, Prof-specialty, Unmarried, White, Female, 0, 0, 36, United-States, <=50K
+40, Private, 572751, Prof-school, 15, Married-civ-spouse, Craft-repair, Husband, White, Male, 5178, 0, 40, Mexico, >50K
+40, Private, 315321, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 625, 52, United-States, <=50K
+31, Private, 120461, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+32, Self-emp-not-inc, 65278, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+23, Self-emp-not-inc, 208503, Some-college, 10, Divorced, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+25, Local-gov, 112835, Masters, 14, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 265038, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K
+18, Private, 89478, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+55, Private, 276229, HS-grad, 9, Widowed, Sales, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K
+52, Private, 366232, 9th, 5, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 40, Cuba, <=50K
+26, Private, 152035, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+37, Private, 205339, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+39, Private, 75995, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 45, United-States, <=50K
+62, Self-emp-not-inc, 192236, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, >50K
+19, ?, 188618, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+47, Private, 229737, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K
+51, Local-gov, 199688, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K
+55, Private, 52953, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+30, Private, 221043, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K
+59, Federal-gov, 115389, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 36, United-States, <=50K
+45, Self-emp-not-inc, 204205, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 65, United-States, <=50K
+52, Private, 338816, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 45, United-States, >50K
+21, Private, 197387, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+31, Private, 42485, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 55, United-States, <=50K
+29, Private, 367706, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+24, Private, 102493, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+17, Private, 263746, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 24, United-States, <=50K
+47, Private, 115358, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+46, Private, 189680, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+32, ?, 282622, HS-grad, 9, Divorced, ?, Unmarried, White, Female, 0, 0, 28, United-States, <=50K
+34, Private, 127651, 10th, 6, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 44, ?, <=50K
+63, Private, 230823, 12th, 8, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, Cuba, <=50K
+21, Private, 300812, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 25, United-States, <=50K
+18, Private, 174732, HS-grad, 9, Never-married, Other-service, Other-relative, Black, Male, 0, 0, 36, United-States, <=50K
+49, State-gov, 183710, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+81, Self-emp-not-inc, 137018, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+36, Self-emp-inc, 213008, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+47, Private, 357848, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+36, Private, 165799, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+39, Self-emp-not-inc, 188571, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K
+46, Private, 97883, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+43, Local-gov, 105862, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 1902, 40, United-States, >50K
+39, Local-gov, 57424, Bachelors, 13, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 35, United-States, <=50K
+29, Private, 151476, Some-college, 10, Separated, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+23, Private, 129583, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Black, Female, 0, 0, 16, United-States, <=50K
+57, Private, 180920, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 43, United-States, <=50K
+38, Self-emp-not-inc, 182416, HS-grad, 9, Never-married, Sales, Unmarried, Black, Female, 0, 0, 42, United-States, <=50K
+25, Private, 251915, Bachelors, 13, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+39, Local-gov, 187127, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 69045, Some-college, 10, Never-married, Sales, Not-in-family, Black, Male, 0, 0, 40, Jamaica, <=50K
+56, Private, 192869, Masters, 14, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1977, 44, United-States, >50K
+39, Private, 74163, 12th, 8, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+23, Private, 60847, Assoc-voc, 11, Never-married, Sales, Unmarried, White, Female, 0, 0, 60, United-States, <=50K
+17, ?, 213055, 11th, 7, Never-married, ?, Not-in-family, Other, Female, 0, 0, 20, United-States, <=50K
+67, Self-emp-not-inc, 116057, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 3273, 0, 16, United-States, <=50K
+41, Private, 82393, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 50, United-States, <=50K
+24, Local-gov, 134181, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 50, United-States, <=50K
+51, Private, 159910, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, Black, Male, 10520, 0, 40, United-States, >50K
+30, Self-emp-inc, 117570, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K
+47, Self-emp-inc, 214169, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 15024, 0, 40, United-States, >50K
+56, Private, 56331, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 32, United-States, <=50K
+51, Private, 35576, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K
+57, Self-emp-not-inc, 149168, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, <=50K
+34, Private, 157165, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+24, Private, 278130, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+57, Private, 257200, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 283122, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K
+23, Private, 580248, HS-grad, 9, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+35, Private, 230054, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+58, Private, 519006, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 52, United-States, <=50K
+19, ?, 37332, HS-grad, 9, Never-married, ?, Own-child, White, Female, 1055, 0, 12, United-States, <=50K
+19, ?, 365871, 7th-8th, 4, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K
+68, State-gov, 235882, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2377, 60, United-States, >50K
+43, Private, 336513, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 40, United-States, >50K
+17, Private, 115551, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+53, State-gov, 50048, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 50, United-States, >50K
+37, Self-emp-inc, 382802, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 99, United-States, >50K
+21, ?, 180303, Bachelors, 13, Never-married, ?, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 25, ?, <=50K
+63, Private, 106023, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+31, Private, 332379, Some-college, 10, Married-spouse-absent, Transport-moving, Unmarried, White, Male, 0, 0, 50, United-States, <=50K
+29, Private, 95465, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+43, Local-gov, 96102, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 1887, 40, United-States, >50K
+27, Private, 36440, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 65, United-States, >50K
+25, Self-emp-not-inc, 209384, HS-grad, 9, Never-married, Other-service, Other-relative, White, Male, 0, 0, 32, United-States, <=50K
+28, Private, 50814, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+54, Private, 143865, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 35, United-States, <=50K
+74, ?, 104661, Some-college, 10, Widowed, ?, Not-in-family, White, Female, 0, 0, 12, United-States, <=50K
+31, Local-gov, 50442, Some-college, 10, Never-married, Exec-managerial, Own-child, Amer-Indian-Eskimo, Female, 0, 0, 32, United-States, <=50K
+23, Private, 236601, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K
+19, Private, 100999, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+39, ?, 362685, Preschool, 1, Widowed, ?, Not-in-family, White, Female, 0, 0, 20, El-Salvador, <=50K
+61, Self-emp-not-inc, 32423, HS-grad, 9, Married-civ-spouse, Farming-fishing, Wife, White, Female, 22040, 0, 40, United-States, <=50K
+59, ?, 154236, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 7688, 0, 40, United-States, >50K
+27, Self-emp-inc, 153546, Assoc-voc, 11, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 36, United-States, >50K
+19, Private, 182355, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 20, United-States, <=50K
+23, ?, 191444, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+25, Local-gov, 44216, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 35, United-States, <=50K
+40, Private, 97688, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 48, United-States, >50K
+53, Private, 209022, 11th, 7, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 37, United-States, <=50K
+32, Private, 96016, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+72, Self-emp-not-inc, 52138, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2392, 25, United-States, >50K
+61, Private, 159046, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+42, Private, 138634, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+17, Private, 130125, 10th, 6, Never-married, Other-service, Own-child, Amer-Indian-Eskimo, Female, 1055, 0, 20, United-States, <=50K
+73, Private, 247355, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 16, Canada, <=50K
+41, Self-emp-not-inc, 227065, Some-college, 10, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 244771, Some-college, 10, Never-married, Machine-op-inspct, Own-child, Black, Female, 0, 0, 20, Jamaica, <=50K
+23, Private, 215616, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, Canada, <=50K
+65, Private, 386672, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 15, United-States, <=50K
+45, Self-emp-inc, 177543, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 50, United-States, <=50K
+52, Federal-gov, 617021, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, Black, Male, 7688, 0, 40, United-States, >50K
+24, Local-gov, 117109, Bachelors, 13, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 27, United-States, <=50K
+23, Private, 373550, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 19847, Some-college, 10, Divorced, Tech-support, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+26, Private, 189590, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+37, Self-emp-not-inc, 58343, HS-grad, 9, Divorced, Farming-fishing, Unmarried, White, Male, 0, 0, 56, United-States, <=50K
+17, Private, 354201, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 119422, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+52, Private, 363405, HS-grad, 9, Separated, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+63, Private, 181863, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 27, United-States, <=50K
+27, Private, 194472, HS-grad, 9, Never-married, Priv-house-serv, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K
+31, Private, 247328, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 3137, 0, 40, Mexico, <=50K
+71, Self-emp-not-inc, 130731, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+35, Private, 236910, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K
+44, Private, 378251, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 38, United-States, <=50K
+36, Private, 120760, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, China, <=50K
+22, Private, 203182, Bachelors, 13, Never-married, Exec-managerial, Other-relative, White, Female, 0, 0, 20, United-States, <=50K
+32, Private, 130304, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1485, 48, United-States, <=50K
+30, Local-gov, 352542, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+60, ?, 191024, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 197728, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+76, Private, 316185, 7th-8th, 4, Widowed, Protective-serv, Not-in-family, White, Female, 0, 0, 12, United-States, <=50K
+41, Private, 89226, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 292353, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male, 0, 0, 40, United-States, <=50K
+45, Private, 304570, 12th, 8, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male, 0, 0, 40, ?, <=50K
+32, Private, 180296, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+22, Private, 361487, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+39, Private, 218490, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1848, 40, United-States, >50K
+63, Self-emp-not-inc, 231777, Bachelors, 13, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 189832, Assoc-acdm, 12, Never-married, Transport-moving, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+61, Private, 232308, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+31, State-gov, 33308, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 333677, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, <=50K
+33, Private, 170651, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 1055, 0, 40, United-States, <=50K
+39, Private, 343403, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 36, United-States, <=50K
+53, Private, 166386, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Wife, Asian-Pac-Islander, Female, 0, 0, 40, China, <=50K
+26, Federal-gov, 48099, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+21, Private, 143062, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 32, United-States, <=50K
+18, Private, 104704, HS-grad, 9, Never-married, Adm-clerical, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+34, Private, 30497, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 60, United-States, >50K
+44, State-gov, 174325, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 7688, 0, 40, United-States, >50K
+31, Private, 286675, HS-grad, 9, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 50, United-States, <=50K
+44, Private, 59474, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K
+42, Private, 378384, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 60, United-States, >50K
+43, Private, 245842, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 44, Mexico, <=50K
+33, Private, 274222, Bachelors, 13, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 7688, 0, 38, United-States, >50K
+21, Private, 342575, Some-college, 10, Never-married, Sales, Own-child, Black, Female, 0, 0, 30, United-States, <=50K
+30, Private, 206051, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K
+55, Private, 234213, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K
+57, Private, 145189, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+37, Private, 233490, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+32, Private, 344129, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K
+62, Self-emp-not-inc, 171315, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K
+31, Self-emp-not-inc, 181485, Bachelors, 13, Never-married, Sales, Not-in-family, Black, Male, 0, 0, 40, United-States, >50K
+51, Private, 255412, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, France, >50K
+37, Private, 262409, Masters, 14, Divorced, Exec-managerial, Unmarried, White, Female, 0, 213, 45, United-States, <=50K
+45, Private, 199590, 5th-6th, 3, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 38, Mexico, <=50K
+47, Private, 84726, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+31, ?, 226883, HS-grad, 9, Divorced, ?, Own-child, White, Male, 0, 0, 75, United-States, <=50K
+75, Self-emp-not-inc, 184335, 11th, 7, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 30, United-States, <=50K
+43, Private, 102025, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Other, Male, 0, 0, 50, United-States, <=50K
+39, Private, 183898, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 60, Germany, >50K
+30, Private, 55291, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+27, Private, 150025, 5th-6th, 3, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, Guatemala, <=50K
+44, Private, 100584, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K
+53, Local-gov, 181755, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 35, United-States, >50K
+40, Private, 150528, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+18, Private, 107277, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+33, Private, 247205, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 40, England, <=50K
+20, Private, 291979, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 270985, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 50, United-States, <=50K
+48, Private, 62605, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+46, Self-emp-not-inc, 176863, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+51, Private, 53197, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+35, Self-emp-not-inc, 267776, HS-grad, 9, Never-married, Other-service, Other-relative, White, Female, 0, 0, 30, United-States, <=50K
+24, Private, 308205, 7th-8th, 4, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K
+30, Private, 306383, Some-college, 10, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+70, Private, 35494, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 30, United-States, <=50K
+26, Private, 291968, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 44, United-States, <=50K
+34, Private, 80933, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1672, 40, United-States, <=50K
+46, Private, 271828, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+70, Private, 121993, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 5, United-States, <=50K
+37, Local-gov, 31023, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+36, Self-emp-not-inc, 36425, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 35, United-States, <=50K
+23, Private, 407684, 9th, 5, Never-married, Machine-op-inspct, Other-relative, White, Female, 0, 0, 40, Mexico, <=50K
+28, Private, 241895, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 1628, 40, United-States, <=50K
+44, Self-emp-not-inc, 158555, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+58, Private, 140363, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 3325, 0, 30, United-States, <=50K
+53, Private, 123429, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K
+23, Private, 40060, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 290286, HS-grad, 9, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+21, ?, 249271, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+34, Local-gov, 106169, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+43, Private, 76487, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 437994, Some-college, 10, Never-married, Other-service, Other-relative, Black, Male, 0, 0, 20, United-States, <=50K
+41, Private, 113555, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male, 7298, 0, 50, United-States, >50K
+36, Private, 160120, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Vietnam, <=50K
+41, Local-gov, 343079, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1740, 20, United-States, <=50K
+27, Private, 406662, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 4416, 0, 40, United-States, <=50K
+42, Self-emp-not-inc, 37618, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K
+27, Private, 114158, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+41, Private, 115562, HS-grad, 9, Divorced, Protective-serv, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 353994, Bachelors, 13, Married-civ-spouse, Exec-managerial, Other-relative, Asian-Pac-Islander, Female, 0, 0, 40, China, >50K
+21, Private, 344891, Some-college, 10, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Male, 0, 0, 20, United-States, <=50K
+44, Private, 286750, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 50, United-States, >50K
+29, Private, 194197, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+19, Self-emp-not-inc, 206599, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 22, United-States, <=50K
+21, Local-gov, 596776, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, Guatemala, <=50K
+46, Private, 56841, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 112561, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K
+43, Private, 147110, Some-college, 10, Never-married, Adm-clerical, Unmarried, White, Male, 0, 0, 48, United-States, >50K
+54, Self-emp-inc, 175339, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+38, Private, 234901, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 60, United-States, >50K
+18, ?, 298133, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+50, Private, 217083, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K
+30, Private, 97757, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 36, United-States, >50K
+30, Private, 151868, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+28, Local-gov, 25864, HS-grad, 9, Never-married, Exec-managerial, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 35, United-States, <=50K
+26, Private, 109419, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+37, Federal-gov, 203070, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 43, United-States, <=50K
+32, Private, 107843, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 5178, 0, 50, United-States, >50K
+64, State-gov, 264544, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 5, United-States, >50K
+18, Private, 148644, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 28, United-States, <=50K
+30, Private, 125762, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 30, United-States, <=50K
+36, ?, 53606, Assoc-voc, 11, Married-civ-spouse, ?, Wife, White, Female, 3908, 0, 8, United-States, <=50K
+18, Private, 193741, 11th, 7, Never-married, Other-service, Other-relative, Black, Male, 0, 0, 30, United-States, <=50K
+27, Private, 588905, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+49, Private, 115613, 9th, 5, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+46, State-gov, 222374, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 43, United-States, >50K
+37, Private, 185359, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 173647, Some-college, 10, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 31166, HS-grad, 9, Divorced, Prof-specialty, Not-in-family, Other, Female, 0, 0, 30, Germany, <=50K
+22, ?, 517995, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 40, Mexico, <=50K
+25, Self-emp-not-inc, 189027, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 30, United-States, <=50K
+38, Private, 296125, HS-grad, 9, Separated, Priv-house-serv, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K
+32, ?, 640383, Bachelors, 13, Divorced, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+35, Private, 334291, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+56, Private, 318450, Masters, 14, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 80, United-States, >50K
+29, Private, 174163, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+41, Private, 119721, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K
+47, Private, 142719, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 162593, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K
+46, Self-emp-not-inc, 236852, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K
+28, Local-gov, 154863, HS-grad, 9, Never-married, Protective-serv, Other-relative, Black, Male, 0, 1876, 40, United-States, <=50K
+39, Private, 168894, Bachelors, 13, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 20, United-States, <=50K
+42, Self-emp-not-inc, 344920, Some-college, 10, Married-civ-spouse, Farming-fishing, Wife, White, Female, 0, 0, 50, United-States, <=50K
+39, Private, 33355, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 7298, 0, 48, United-States, >50K
+68, ?, 196782, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 30, United-States, <=50K
+37, Self-emp-inc, 291518, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 15024, 0, 55, United-States, >50K
+57, Private, 170244, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+22, Private, 369549, Some-college, 10, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 30, United-States, <=50K
+24, Private, 23438, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 30, United-States, >50K
+19, Private, 202673, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 50, United-States, <=50K
+55, Private, 171780, Assoc-acdm, 12, Divorced, Sales, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K
+37, Local-gov, 264503, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K
+37, Local-gov, 244341, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+28, Private, 209109, Bachelors, 13, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 50, United-States, <=50K
+27, Private, 187392, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+40, State-gov, 119578, Bachelors, 13, Never-married, Prof-specialty, Unmarried, White, Female, 0, 0, 20, United-States, <=50K
+51, Private, 195105, HS-grad, 9, Divorced, Priv-house-serv, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+52, Private, 101752, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 56, United-States, <=50K
+74, ?, 95825, Some-college, 10, Widowed, ?, Not-in-family, White, Female, 0, 0, 3, United-States, <=50K
+49, Self-emp-inc, 362654, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K
+20, ?, 29810, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+40, Federal-gov, 77332, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+80, Private, 87518, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 1816, 60, United-States, <=50K
+63, Private, 113324, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K
+63, Private, 96299, HS-grad, 9, Divorced, Transport-moving, Unmarried, White, Male, 0, 0, 45, United-States, >50K
+51, Private, 237729, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+23, Private, 200973, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+66, Self-emp-not-inc, 212456, HS-grad, 9, Widowed, Craft-repair, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K
+33, Self-emp-not-inc, 131568, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 66, United-States, <=50K
+49, Private, 185859, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 43, United-States, <=50K
+20, Private, 231981, Some-college, 10, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 32, United-States, <=50K
+33, Self-emp-inc, 117963, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 60, United-States, >50K
+26, Private, 78172, Some-college, 10, Married-AF-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K
+52, Private, 164135, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+33, Private, 171216, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+47, Private, 140664, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+23, Private, 249277, HS-grad, 9, Never-married, Exec-managerial, Own-child, Black, Male, 0, 0, 75, United-States, <=50K
+53, Federal-gov, 117847, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+19, Private, 52372, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+26, Federal-gov, 95806, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 3325, 0, 40, United-States, <=50K
+53, Private, 137428, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, >50K
+65, Private, 169047, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 10, United-States, <=50K
+68, Private, 339168, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 30, United-States, <=50K
+30, Private, 504725, 10th, 6, Never-married, Sales, Other-relative, White, Male, 0, 0, 18, Guatemala, <=50K
+28, Private, 132870, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+54, Local-gov, 135840, 10th, 6, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 45, United-States, <=50K
+30, Private, 35644, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 10, United-States, <=50K
+22, Private, 198148, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 50, United-States, <=50K
+25, Private, 220098, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+19, Private, 262515, 11th, 7, Never-married, Other-service, Other-relative, White, Male, 0, 0, 20, United-States, <=50K
+19, ?, 423863, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+32, Federal-gov, 111567, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+23, Private, 194096, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+51, Local-gov, 420917, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K
+25, Private, 197871, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 44, United-States, >50K
+46, Local-gov, 253116, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+38, Private, 206535, Some-college, 10, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 50, United-States, <=50K
+26, State-gov, 70447, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, >50K
+46, Private, 201217, HS-grad, 9, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+25, Private, 209970, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+20, Private, 196745, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 594, 0, 16, United-States, <=50K
+29, Local-gov, 175262, Masters, 14, Married-civ-spouse, Prof-specialty, Other-relative, White, Male, 0, 0, 35, United-States, <=50K
+51, Self-emp-inc, 304955, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+40, Private, 181265, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 52, United-States, <=50K
+24, Private, 200973, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+24, Self-emp-not-inc, 37440, Bachelors, 13, Never-married, Farming-fishing, Unmarried, White, Male, 0, 0, 50, United-States, <=50K
+31, Private, 395170, Assoc-voc, 11, Married-civ-spouse, Other-service, Wife, Amer-Indian-Eskimo, Female, 0, 0, 24, Mexico, <=50K
+54, ?, 32385, HS-grad, 9, Divorced, ?, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+34, Private, 353213, Assoc-acdm, 12, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+19, Private, 38619, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 66, United-States, <=50K
+21, Private, 177711, HS-grad, 9, Never-married, Transport-moving, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+21, Private, 190761, 10th, 6, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 70, United-States, <=50K
+23, Private, 27776, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 24, United-States, <=50K
+37, Federal-gov, 470663, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 71738, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 46, United-States, >50K
+57, Private, 74156, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 30, United-States, <=50K
+48, Private, 202467, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1485, 40, United-States, >50K
+24, Private, 123983, 11th, 7, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Vietnam, <=50K
+43, Private, 193494, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+32, ?, 169886, Bachelors, 13, Never-married, ?, Not-in-family, White, Female, 0, 0, 20, ?, <=50K
+40, Private, 130571, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+52, Self-emp-inc, 90363, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 35, United-States, >50K
+49, Private, 83444, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+45, Self-emp-not-inc, 239093, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male, 3137, 0, 40, United-States, <=50K
+62, Local-gov, 151369, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 56630, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+49, Private, 117095, HS-grad, 9, Separated, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+55, Federal-gov, 189985, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+20, ?, 34862, Some-college, 10, Never-married, ?, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 72, United-States, <=50K
+37, Self-emp-inc, 126675, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+43, State-gov, 199806, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+29, Private, 57596, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+44, Private, 103459, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, >50K
+28, Private, 282398, Some-college, 10, Separated, Tech-support, Unmarried, White, Male, 0, 0, 40, United-States, >50K
+38, Private, 298841, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+45, Private, 33300, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 1977, 50, United-States, >50K
+22, ?, 306031, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+19, Private, 306467, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+20, Private, 189888, 12th, 8, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+60, Private, 83861, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 117393, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+22, Private, 129934, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, ?, <=50K
+51, Private, 179010, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K
+31, Private, 375680, Bachelors, 13, Never-married, Prof-specialty, Unmarried, Black, Female, 0, 0, 40, ?, <=50K
+48, Private, 316101, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+43, Private, 293305, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1887, 40, United-States, >50K
+51, Local-gov, 175750, HS-grad, 9, Divorced, Transport-moving, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K
+41, Private, 121718, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 1848, 48, United-States, >50K
+62, ?, 94931, Assoc-voc, 11, Married-civ-spouse, ?, Husband, White, Male, 3411, 0, 40, United-States, <=50K
+50, State-gov, 229272, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, >50K
+46, Private, 142828, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, >50K
+54, Private, 22743, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 15024, 0, 60, United-States, >50K
+68, Private, 76371, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 45, United-States, >50K
+23, Self-emp-not-inc, 216129, Assoc-acdm, 12, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+49, Private, 107425, Masters, 14, Never-married, Sales, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+24, Private, 611029, 10th, 6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+30, Local-gov, 363032, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+38, Private, 170020, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 3137, 0, 45, United-States, <=50K
+34, Private, 137900, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+22, Private, 322674, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 23778, 7th-8th, 4, Separated, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+61, Private, 147845, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 31, United-States, <=50K
+36, Private, 175759, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+51, Self-emp-inc, 166459, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+43, Private, 128212, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Wife, Asian-Pac-Islander, Female, 0, 0, 40, Vietnam, >50K
+54, Federal-gov, 127455, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 48, United-States, >50K
+63, Private, 134699, HS-grad, 9, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K
+51, Private, 254230, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+63, Self-emp-not-inc, 159715, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+51, Local-gov, 116286, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K
+27, Private, 146719, HS-grad, 9, Divorced, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+35, Private, 361888, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K
+31, ?, 26553, Bachelors, 13, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 25, United-States, >50K
+46, Self-emp-not-inc, 32825, HS-grad, 9, Separated, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+53, Private, 225768, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, >50K
+26, Federal-gov, 393728, Some-college, 10, Divorced, Adm-clerical, Own-child, White, Male, 0, 0, 24, United-States, <=50K
+43, Private, 160369, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+39, Private, 191807, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 50, United-States, >50K
+50, Federal-gov, 176969, HS-grad, 9, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 1590, 40, United-States, <=50K
+54, Federal-gov, 33863, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+62, ?, 182687, Some-college, 10, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 45, United-States, >50K
+57, State-gov, 141459, Some-college, 10, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+19, ?, 174233, Some-college, 10, Never-married, ?, Own-child, Black, Male, 0, 0, 24, United-States, <=50K
+29, Local-gov, 95393, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+20, Private, 221095, HS-grad, 9, Never-married, Craft-repair, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K
+53, Private, 104501, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 55, United-States, >50K
+18, ?, 437851, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+22, ?, 131230, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 495888, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, El-Salvador, <=50K
+69, Private, 185691, 11th, 7, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 20, United-States, <=50K
+56, Private, 201822, 7th-8th, 4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 2002, 40, United-States, <=50K
+53, Local-gov, 549341, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 35, United-States, <=50K
+28, Private, 247445, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 199566, Bachelors, 13, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+33, Self-emp-inc, 139057, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 84, Taiwan, >50K
+48, Private, 185039, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 30, United-States, <=50K
+61, Private, 166124, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+49, Private, 82649, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 5013, 0, 45, United-States, <=50K
+48, Private, 109275, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 408328, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+51, Private, 186338, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+27, ?, 130856, Bachelors, 13, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+19, Private, 251579, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 14, United-States, <=50K
+47, Private, 76612, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K
+25, Private, 22546, Bachelors, 13, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 60, United-States, <=50K
+72, Private, 53684, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+29, Private, 183627, 11th, 7, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 73203, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+57, Private, 108426, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 48, England, <=50K
+50, Private, 116287, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 60, Columbia, <=50K
+45, Self-emp-inc, 145697, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 30, United-States, <=50K
+52, Private, 326156, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+53, Private, 201127, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 48, United-States, >50K
+36, Private, 250791, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 48, United-States, <=50K
+46, Private, 328216, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+20, Private, 400443, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+75, Private, 95985, 5th-6th, 3, Widowed, Other-service, Unmarried, Black, Male, 0, 0, 10, United-States, <=50K
+32, Local-gov, 127651, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+28, Private, 250679, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+53, Private, 103950, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+17, Private, 200199, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+46, State-gov, 295791, Assoc-voc, 11, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 38, United-States, <=50K
+39, Private, 191841, Assoc-acdm, 12, Separated, Prof-specialty, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+38, Private, 82622, Some-college, 10, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 160728, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 60, United-States, <=50K
+63, Local-gov, 109849, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Black, Female, 0, 0, 21, United-States, <=50K
+28, Private, 339897, 1st-4th, 2, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 43, Mexico, <=50K
+28, ?, 37215, Bachelors, 13, Never-married, ?, Own-child, White, Male, 0, 0, 45, United-States, <=50K
+49, Private, 371299, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 35, United-States, <=50K
+43, Private, 421837, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+38, Private, 29702, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+39, Private, 117381, HS-grad, 9, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 62, England, <=50K
+42, ?, 240027, HS-grad, 9, Divorced, ?, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+40, Private, 338740, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+45, ?, 28359, HS-grad, 9, Separated, ?, Unmarried, White, Female, 0, 0, 10, United-States, <=50K
+29, ?, 315026, HS-grad, 9, Divorced, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+24, Federal-gov, 314525, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 1741, 45, United-States, <=50K
+30, Private, 173005, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 50, United-States, >50K
+44, Private, 286750, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+40, Private, 163985, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 24, United-States, <=50K
+30, Private, 219318, HS-grad, 9, Never-married, Machine-op-inspct, Other-relative, White, Female, 0, 0, 35, Puerto-Rico, <=50K
+42, Private, 44121, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 1876, 40, United-States, <=50K
+52, Self-emp-not-inc, 103794, Assoc-voc, 11, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+42, Private, 310632, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, >50K
+39, Private, 153976, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 52, United-States, >50K
+43, Private, 174575, Some-college, 10, Divorced, Prof-specialty, Unmarried, White, Male, 0, 0, 45, United-States, <=50K
+62, Self-emp-not-inc, 82388, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 10566, 0, 40, United-States, <=50K
+30, Private, 207253, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, England, <=50K
+83, ?, 251951, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+39, Private, 746786, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K
+41, Private, 308296, HS-grad, 9, Married-civ-spouse, Transport-moving, Wife, White, Female, 0, 0, 20, United-States, <=50K
+49, Private, 101825, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1977, 40, United-States, >50K
+25, Private, 109009, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+48, Private, 413363, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 2002, 40, United-States, <=50K
+59, ?, 117751, Assoc-acdm, 12, Divorced, ?, Not-in-family, White, Male, 0, 0, 8, United-States, <=50K
+44, State-gov, 296326, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 208358, 9th, 5, Divorced, Handlers-cleaners, Not-in-family, White, Male, 4650, 0, 56, United-States, <=50K
+40, Private, 120277, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, Ireland, <=50K
+21, Private, 193219, HS-grad, 9, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 35, Jamaica, <=50K
+41, Private, 86399, Some-college, 10, Separated, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K
+24, Private, 215251, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+67, Self-emp-not-inc, 124470, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K
+24, Private, 228649, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 38, United-States, <=50K
+50, Self-emp-not-inc, 386397, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K
+48, Private, 96798, Masters, 14, Divorced, Sales, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+55, ?, 106707, Assoc-acdm, 12, Married-civ-spouse, ?, Husband, Black, Male, 0, 0, 20, United-States, >50K
+29, Private, 159768, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 3325, 0, 40, Ecuador, <=50K
+50, Private, 139464, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 36, Ireland, <=50K
+64, State-gov, 550848, 10th, 6, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+49, Private, 68505, 9th, 5, Divorced, Other-service, Not-in-family, Black, Male, 0, 0, 37, United-States, <=50K
+20, Private, 122215, HS-grad, 9, Never-married, Other-service, Own-child, Black, Male, 0, 0, 52, United-States, <=50K
+30, Private, 159442, HS-grad, 9, Separated, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+37, Private, 80638, Bachelors, 13, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 30, China, <=50K
+52, Private, 192390, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K
+22, Private, 191324, Some-college, 10, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 25, United-States, <=50K
+77, ?, 147284, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 14, United-States, <=50K
+19, State-gov, 73009, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 15, United-States, <=50K
+52, Private, 177858, HS-grad, 9, Divorced, Craft-repair, Other-relative, White, Male, 0, 0, 55, United-States, >50K
+42, Private, 163003, Bachelors, 13, Married-spouse-absent, Tech-support, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K
+35, Private, 95551, HS-grad, 9, Separated, Exec-managerial, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K
+27, Private, 125298, Some-college, 10, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 50, United-States, <=50K
+54, State-gov, 198186, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 38, United-States, <=50K
+37, Private, 295949, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1628, 40, United-States, <=50K
+37, Private, 182668, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 35, United-States, <=50K
+28, Private, 124905, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 30, United-States, <=50K
+63, Private, 171635, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+19, Private, 376240, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 42, United-States, <=50K
+28, Private, 157391, Bachelors, 13, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+23, ?, 114357, Some-college, 10, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+44, Private, 178134, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, >50K
+31, Private, 207201, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+35, Private, 124483, Bachelors, 13, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 50, ?, >50K
+64, Private, 102103, HS-grad, 9, Divorced, Priv-house-serv, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+40, Private, 92036, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K
+59, Local-gov, 236426, Assoc-acdm, 12, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+22, Private, 400966, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+40, Private, 404573, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 44, United-States, <=50K
+35, Private, 227571, 7th-8th, 4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+20, Private, 145917, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+35, Local-gov, 190226, HS-grad, 9, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 356555, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 48, United-States, <=50K
+28, Private, 66473, HS-grad, 9, Divorced, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+37, ?, 172256, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 20, United-States, <=50K
+72, ?, 118902, Doctorate, 16, Married-civ-spouse, ?, Husband, White, Male, 0, 2392, 6, United-States, >50K
+25, Self-emp-inc, 163039, Assoc-acdm, 12, Never-married, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+37, Private, 89559, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+19, ?, 35507, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 45, United-States, <=50K
+31, Private, 163303, Assoc-voc, 11, Divorced, Sales, Own-child, White, Female, 0, 0, 38, United-States, <=50K
+41, Private, 192712, HS-grad, 9, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+31, Private, 381153, 10th, 6, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K
+44, Private, 222434, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 34706, Some-college, 10, Never-married, Exec-managerial, Not-in-family, Black, Male, 0, 0, 47, United-States, <=50K
+57, Self-emp-not-inc, 47857, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K
+26, Private, 195216, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 12, United-States, <=50K
+44, Self-emp-inc, 103643, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 5013, 0, 60, Greece, <=50K
+29, Local-gov, 329426, HS-grad, 9, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 183612, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 40, United-States, >50K
+40, Private, 184105, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+21, Private, 211385, Assoc-acdm, 12, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 35, Jamaica, <=50K
+21, Private, 61777, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K
+34, Self-emp-not-inc, 320194, Prof-school, 15, Separated, Prof-specialty, Unmarried, White, Male, 0, 0, 48, United-States, >50K
+24, Private, 199444, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+28, Private, 312588, 10th, 6, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+35, Private, 168675, HS-grad, 9, Separated, Transport-moving, Own-child, White, Male, 0, 0, 50, United-States, <=50K
+35, Private, 87556, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+38, State-gov, 220421, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+44, Federal-gov, 404599, HS-grad, 9, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+39, Private, 99065, Bachelors, 13, Married-civ-spouse, Handlers-cleaners, Wife, White, Female, 0, 0, 40, Poland, >50K
+57, Local-gov, 109973, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+19, Private, 246652, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+29, Private, 57423, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, <=50K
+23, Private, 291248, HS-grad, 9, Never-married, Machine-op-inspct, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K
+50, Private, 163708, HS-grad, 9, Widowed, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+51, Self-emp-not-inc, 240358, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 20, United-States, <=50K
+28, Private, 25955, Assoc-voc, 11, Divorced, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K
+44, Private, 101593, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K
+29, Self-emp-not-inc, 227890, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+31, Private, 225053, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+27, Private, 228472, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K
+34, Private, 245378, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K
+50, Self-emp-inc, 156623, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 7688, 0, 50, Philippines, >50K
+27, Private, 35032, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K
+31, Private, 258849, Assoc-voc, 11, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+46, Private, 190115, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+39, Private, 63910, Some-college, 10, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K
+40, Private, 510072, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K
+28, Private, 210867, 11th, 7, Divorced, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+18, Private, 263024, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+51, Private, 306785, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+58, Self-emp-inc, 104333, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+66, Private, 340734, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+36, Self-emp-not-inc, 288585, HS-grad, 9, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female, 0, 0, 20, South, <=50K
+38, Private, 241765, 11th, 7, Divorced, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K
+25, Private, 111058, Assoc-acdm, 12, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 104662, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 22, United-States, <=50K
+90, Private, 313986, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+41, Local-gov, 52037, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+34, ?, 146589, HS-grad, 9, Never-married, ?, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+33, Private, 131776, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 914, 0, 40, Germany, <=50K
+33, Private, 254221, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+35, Private, 152909, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 45, United-States, >50K
+39, Self-emp-not-inc, 211785, HS-grad, 9, Never-married, Craft-repair, Own-child, Black, Female, 0, 0, 20, United-States, <=50K
+59, Private, 160362, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K
+19, Private, 387215, Some-college, 10, Never-married, Tech-support, Own-child, White, Male, 0, 1719, 16, United-States, <=50K
+39, Private, 187046, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 4064, 0, 38, United-States, <=50K
+19, ?, 208874, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 169631, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+52, Private, 202956, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+59, Self-emp-not-inc, 80467, HS-grad, 9, Divorced, Other-service, Own-child, White, Female, 0, 0, 24, United-States, <=50K
+28, Private, 407672, Some-college, 10, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+37, Private, 243425, HS-grad, 9, Divorced, Other-service, Other-relative, White, Female, 0, 0, 50, Peru, <=50K
+50, ?, 174964, 10th, 6, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 99, United-States, <=50K
+36, Private, 347491, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+34, Private, 146161, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K
+23, Private, 449432, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+19, ?, 175499, 11th, 7, Never-married, ?, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+33, Private, 288825, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 2258, 84, United-States, <=50K
+27, Local-gov, 134813, Masters, 14, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 52, United-States, <=50K
+31, Local-gov, 190401, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 260617, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 36, United-States, <=50K
+31, Private, 45604, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 54, United-States, <=50K
+59, Private, 67841, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K
+40, Local-gov, 244522, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 48, United-States, >50K
+19, Private, 430471, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+47, Private, 194698, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K
+34, Private, 94235, Bachelors, 13, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+57, Private, 188330, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 78, United-States, <=50K
+51, Local-gov, 146181, 9th, 5, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+21, Private, 177125, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K
+30, Self-emp-inc, 68330, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K
+46, Private, 95636, Some-college, 10, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+40, Private, 238329, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+52, Private, 416129, Preschool, 1, Married-civ-spouse, Other-service, Not-in-family, White, Male, 0, 0, 40, El-Salvador, <=50K
+23, Private, 285004, Bachelors, 13, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 50, Taiwan, <=50K
+90, ?, 256514, Bachelors, 13, Widowed, ?, Other-relative, White, Female, 991, 0, 10, United-States, <=50K
+25, Private, 186294, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+43, Private, 188786, Some-college, 10, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+38, State-gov, 31352, Some-college, 10, Divorced, Protective-serv, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, >50K
+22, Private, 197613, Assoc-voc, 11, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+33, Local-gov, 161942, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 1055, 0, 40, United-States, <=50K
+34, Private, 275438, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 5178, 0, 40, United-States, >50K
+65, Private, 361721, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 20, United-States, <=50K
+50, Private, 144968, HS-grad, 9, Never-married, Tech-support, Own-child, White, Male, 0, 0, 15, United-States, <=50K
+29, Private, 190539, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 6849, 0, 48, United-States, <=50K
+25, Private, 178037, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+54, Private, 306985, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+49, Private, 87928, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+44, Private, 242619, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 154165, 9th, 5, Divorced, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+25, Private, 511331, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K
+65, Local-gov, 221026, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 20, United-States, <=50K
+56, Self-emp-not-inc, 222182, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 45, United-States, <=50K
+39, Self-emp-not-inc, 126569, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 60, United-States, >50K
+23, Private, 202344, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+20, Private, 190423, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+24, Private, 238917, 5th-6th, 3, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, El-Salvador, <=50K
+41, Private, 221947, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 50, United-States, >50K
+40, Self-emp-inc, 37997, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K
+55, Private, 147098, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K
+38, Private, 278253, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 48, United-States, <=50K
+23, Private, 195411, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+44, Private, 76196, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K
+45, Private, 120131, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1887, 40, United-States, >50K
+20, Self-emp-not-inc, 186014, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 12, Germany, <=50K
+29, Private, 205903, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+43, State-gov, 125405, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 219838, 12th, 8, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+28, State-gov, 19395, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K
+31, Private, 223327, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+52, Private, 114062, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+36, Private, 95654, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 50, Iran, >50K
+38, Private, 177305, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+66, ?, 299616, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+63, Self-emp-not-inc, 117681, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 237651, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+33, State-gov, 150570, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+46, State-gov, 106705, Some-college, 10, Divorced, Prof-specialty, Unmarried, White, Female, 1506, 0, 50, United-States, <=50K
+20, ?, 174714, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+47, Self-emp-inc, 175958, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 3325, 0, 60, United-States, <=50K
+33, Private, 144064, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K
+66, ?, 107112, 7th-8th, 4, Never-married, ?, Other-relative, Black, Male, 0, 0, 30, United-States, <=50K
+20, Private, 54152, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 30, ?, <=50K
+28, Private, 152951, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+46, Private, 190487, HS-grad, 9, Divorced, Priv-house-serv, Unmarried, White, Female, 0, 0, 28, Ecuador, <=50K
+25, Private, 306666, Some-college, 10, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 45, United-States, <=50K
+37, Private, 195148, HS-grad, 9, Married-civ-spouse, Craft-repair, Own-child, White, Male, 3137, 0, 40, United-States, <=50K
+31, Self-emp-not-inc, 226624, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K
+49, Private, 157569, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+22, State-gov, 22966, Some-college, 10, Married-spouse-absent, Tech-support, Unmarried, White, Male, 0, 0, 20, United-States, <=50K
+52, Private, 379682, Assoc-voc, 11, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 20, United-States, >50K
+29, Private, 446559, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 50, United-States, <=50K
+18, Private, 41794, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+31, Local-gov, 90409, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 35, United-States, <=50K
+23, Private, 125491, Some-college, 10, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 35, Vietnam, <=50K
+27, ?, 129661, Assoc-voc, 11, Married-civ-spouse, ?, Wife, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, >50K
+54, Self-emp-not-inc, 104748, 10th, 6, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 65, United-States, <=50K
+50, Local-gov, 169182, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 49, Dominican-Republic, <=50K
+46, Private, 324655, Masters, 14, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 1902, 40, ?, >50K
+24, Private, 122272, Bachelors, 13, Never-married, Farming-fishing, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+17, ?, 114798, 11th, 7, Never-married, ?, Own-child, White, Female, 0, 0, 18, United-States, <=50K
+49, Self-emp-inc, 289707, HS-grad, 9, Separated, Other-service, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+54, Local-gov, 137691, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+41, Private, 84610, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 60, United-States, >50K
+49, Private, 166789, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+36, Local-gov, 348728, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+23, Private, 348092, HS-grad, 9, Never-married, Transport-moving, Own-child, Black, Male, 0, 0, 40, Haiti, <=50K
+63, Private, 154526, Some-college, 10, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+67, Private, 288371, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, Canada, >50K
+23, Private, 182342, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 244366, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+66, Private, 102423, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 30, United-States, <=50K
+25, Private, 259688, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+30, Private, 98733, Some-college, 10, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 20, United-States, <=50K
+35, Private, 174856, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 2885, 0, 40, United-States, <=50K
+67, Self-emp-not-inc, 141797, 7th-8th, 4, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 327202, 12th, 8, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+26, Private, 76996, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 38, United-States, <=50K
+34, Private, 260560, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 370990, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+18, Private, 129010, 12th, 8, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 10, United-States, <=50K
+21, Private, 452640, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+76, Self-emp-inc, 120796, 9th, 5, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+51, Federal-gov, 45334, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, Asian-Pac-Islander, Male, 0, 0, 70, ?, <=50K
+26, Private, 229523, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 56, United-States, <=50K
+18, Private, 127388, 12th, 8, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K
+18, ?, 395567, 11th, 7, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 119422, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 1672, 50, United-States, <=50K
+59, Private, 193895, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+55, Private, 163083, Bachelors, 13, Separated, Exec-managerial, Not-in-family, White, Male, 14084, 0, 45, United-States, >50K
+33, Self-emp-not-inc, 155343, Some-college, 10, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 72, United-States, <=50K
+25, Private, 73895, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 10, United-States, <=50K
+48, Private, 107682, HS-grad, 9, Widowed, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 10, United-States, <=50K
+64, Private, 321166, Bachelors, 13, Divorced, Sales, Not-in-family, White, Female, 0, 0, 5, United-States, <=50K
+47, Local-gov, 154940, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, >50K
+26, Private, 103700, Some-college, 10, Never-married, Tech-support, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+36, Private, 63509, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 48, United-States, >50K
+21, Private, 243842, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K
+54, ?, 187221, 7th-8th, 4, Never-married, ?, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K
+30, Private, 58597, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 44, United-States, <=50K
+41, Self-emp-not-inc, 190290, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+53, ?, 158352, Masters, 14, Never-married, ?, Not-in-family, White, Female, 8614, 0, 35, United-States, >50K
+34, Private, 62165, Some-college, 10, Never-married, Sales, Other-relative, Black, Male, 0, 0, 30, United-States, <=50K
+20, ?, 307149, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+24, Private, 280134, 10th, 6, Never-married, Sales, Not-in-family, White, Male, 0, 0, 49, El-Salvador, <=50K
+26, Private, 118736, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+25, Private, 171114, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K
+35, Private, 169638, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 36, United-States, <=50K
+41, Private, 125461, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+33, Private, 145434, 11th, 7, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+18, Private, 152182, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+27, Self-emp-inc, 233724, HS-grad, 9, Separated, Adm-clerical, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K
+32, Private, 153963, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 35, United-States, <=50K
+51, Local-gov, 88120, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+38, Private, 96330, Assoc-voc, 11, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+41, Local-gov, 66118, Some-college, 10, Married-civ-spouse, Transport-moving, Wife, White, Female, 0, 0, 25, United-States, <=50K
+26, Private, 182178, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 2829, 0, 40, United-States, <=50K
+38, Self-emp-not-inc, 53628, Assoc-voc, 11, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 35, United-States, <=50K
+54, Private, 174865, 9th, 5, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+30, Private, 66194, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 60, Outlying-US(Guam-USVI-etc), <=50K
+31, Private, 73796, Some-college, 10, Widowed, Exec-managerial, Unmarried, White, Female, 0, 0, 30, United-States, <=50K
+26, State-gov, 28366, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+75, Self-emp-not-inc, 231741, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 4931, 0, 3, United-States, <=50K
+29, Private, 237865, Masters, 14, Never-married, Transport-moving, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+61, Private, 195453, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+24, Private, 116934, Some-college, 10, Separated, Sales, Unmarried, White, Female, 0, 0, 45, United-States, <=50K
+22, ?, 87867, 12th, 8, Never-married, ?, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+34, Private, 456399, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+42, Private, 263608, Some-college, 10, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 263498, 11th, 7, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+42, Self-emp-not-inc, 183765, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, ?, <=50K
+27, Federal-gov, 469705, HS-grad, 9, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 1980, 40, United-States, <=50K
+39, Local-gov, 113253, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 50, United-States, >50K
+20, Private, 138768, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+51, Private, 302146, 11th, 7, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+68, Private, 253866, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 30, United-States, <=50K
+28, Federal-gov, 214858, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 48, United-States, <=50K
+43, Private, 243476, HS-grad, 9, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+35, Private, 169104, Some-college, 10, Married-spouse-absent, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+44, Private, 103218, HS-grad, 9, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+41, Private, 57233, Bachelors, 13, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+44, Private, 228320, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 45, United-States, >50K
+20, Private, 217421, HS-grad, 9, Married-civ-spouse, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+46, Private, 185041, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 75, United-States, >50K
+27, Self-emp-not-inc, 37302, Assoc-acdm, 12, Married-civ-spouse, Transport-moving, Husband, White, Male, 7688, 0, 70, United-States, >50K
+32, Private, 261059, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+46, Private, 59767, Some-college, 10, Divorced, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+26, Private, 333541, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 24, United-States, <=50K
+20, Private, 133352, Some-college, 10, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, Vietnam, <=50K
+36, Private, 99270, HS-grad, 9, Married-civ-spouse, Farming-fishing, Wife, White, Female, 0, 0, 40, United-States, <=50K
+49, Private, 204629, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+32, Private, 34104, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 3103, 0, 55, United-States, >50K
+32, Private, 312667, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 50, United-States, >50K
+49, Private, 329603, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1902, 40, United-States, >50K
+36, Private, 281021, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+22, Private, 275385, Some-college, 10, Never-married, Other-service, Other-relative, White, Male, 0, 0, 25, United-States, <=50K
+52, Federal-gov, 129177, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+42, Private, 385591, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+22, ?, 201179, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+72, Private, 38360, HS-grad, 9, Widowed, Other-service, Unmarried, White, Female, 0, 0, 16, United-States, <=50K
+30, Local-gov, 73796, Bachelors, 13, Separated, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+44, Private, 67671, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 257621, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+22, Private, 180052, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+59, Private, 656036, Bachelors, 13, Separated, Adm-clerical, Unmarried, White, Male, 0, 0, 60, United-States, <=50K
+46, Private, 215943, HS-grad, 9, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+30, Private, 488720, Assoc-voc, 11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+64, Federal-gov, 199298, 7th-8th, 4, Widowed, Other-service, Unmarried, White, Female, 0, 0, 30, Puerto-Rico, <=50K
+31, Private, 305692, Some-college, 10, Married-civ-spouse, Sales, Wife, Black, Female, 0, 0, 40, United-States, <=50K
+64, Private, 114994, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 20, United-States, <=50K
+45, Private, 88265, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+59, Private, 168569, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 1887, 40, United-States, >50K
+32, Private, 175413, HS-grad, 9, Never-married, Adm-clerical, Other-relative, Black, Female, 0, 0, 40, Jamaica, <=50K
+43, Private, 161226, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K
+66, ?, 160995, 10th, 6, Divorced, ?, Not-in-family, White, Female, 1086, 0, 20, United-States, <=50K
+23, Private, 208598, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+49, Self-emp-not-inc, 200471, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 256609, 12th, 8, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+49, Private, 176684, Assoc-voc, 11, Never-married, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+33, Private, 206512, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 212640, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 85, United-States, <=50K
+47, Private, 148724, HS-grad, 9, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+41, Private, 266510, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+34, Local-gov, 240252, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+25, Private, 358975, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+20, ?, 124242, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+21, Private, 434710, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K
+25, Private, 204338, HS-grad, 9, Never-married, Farming-fishing, Unmarried, White, Male, 0, 0, 30, ?, <=50K
+46, Private, 241844, 9th, 5, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 191342, 1st-4th, 2, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Cambodia, <=50K
+41, Private, 221947, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 56, United-States, >50K
+44, Private, 111483, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 1504, 50, United-States, <=50K
+30, Private, 65278, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K
+54, Private, 133403, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+35, Self-emp-not-inc, 166416, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 99, United-States, <=50K
+58, ?, 142158, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 12, United-States, <=50K
+21, Private, 221480, Some-college, 10, Never-married, Tech-support, Own-child, White, Female, 0, 0, 25, Ecuador, <=50K
+35, Self-emp-not-inc, 189878, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+35, Private, 278403, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 80, United-States, >50K
+19, Private, 184710, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+48, Private, 177775, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+56, ?, 275943, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, Nicaragua, <=50K
+65, Self-emp-not-inc, 225473, Some-college, 10, Widowed, Craft-repair, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+40, Private, 289403, Bachelors, 13, Separated, Adm-clerical, Unmarried, Black, Male, 0, 0, 35, United-States, <=50K
+26, Private, 269060, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+45, Private, 449354, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 214413, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 80058, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 202027, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 27828, 0, 50, United-States, >50K
+22, Self-emp-not-inc, 123440, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K
+37, Private, 191524, Assoc-voc, 11, Separated, Prof-specialty, Own-child, White, Female, 0, 0, 38, United-States, <=50K
+25, Private, 308144, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K
+64, Private, 164204, 1st-4th, 2, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 53, ?, <=50K
+46, Private, 205100, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 48, United-States, >50K
+30, Private, 195750, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 27, United-States, <=50K
+63, Private, 149756, Assoc-acdm, 12, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+51, Local-gov, 240358, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K
+68, Self-emp-not-inc, 241174, 7th-8th, 4, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 16, United-States, <=50K
+36, Private, 356838, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, Canada, <=50K
+28, Self-emp-inc, 115705, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+41, Local-gov, 137142, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+47, Private, 296066, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 401335, Some-college, 10, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K
+33, ?, 182771, Bachelors, 13, Never-married, ?, Own-child, Asian-Pac-Islander, Male, 0, 0, 80, Philippines, <=50K
+34, Self-emp-inc, 186824, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 40, United-States, >50K
+46, Federal-gov, 162187, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+28, Private, 98010, Some-college, 10, Married-spouse-absent, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+36, Private, 172538, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 52, United-States, >50K
+18, Private, 80163, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+33, Local-gov, 43959, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 50, United-States, >50K
+51, Private, 162632, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 7298, 0, 60, United-States, >50K
+56, Self-emp-not-inc, 115422, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 35, United-States, <=50K
+54, Private, 100933, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+29, Private, 270379, HS-grad, 9, Never-married, Exec-managerial, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+40, Private, 20109, Some-college, 10, Divorced, Handlers-cleaners, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 84, United-States, <=50K
+53, Private, 114758, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 65, United-States, >50K
+22, Private, 100345, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+33, Private, 184901, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K
+28, Private, 87239, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+63, Private, 127363, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 12, United-States, <=50K
+53, Federal-gov, 199720, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 60, Germany, >50K
+37, Private, 143058, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+50, Federal-gov, 36489, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 141698, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+40, Federal-gov, 26358, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+22, Private, 195532, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 8614, 0, 40, United-States, >50K
+21, Private, 30039, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 125159, Assoc-acdm, 12, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, Jamaica, <=50K
+20, Private, 246250, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+43, Federal-gov, 77370, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 355569, Assoc-voc, 11, Never-married, Exec-managerial, Unmarried, White, Female, 0, 0, 50, United-States, <=50K
+32, Private, 180603, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+42, Private, 201785, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+33, Private, 256211, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male, 0, 0, 40, South, <=50K
+27, Private, 146764, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K
+22, ?, 211968, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, Iran, <=50K
+29, Private, 200515, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 38, United-States, <=50K
+29, Private, 52636, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 27049, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+35, Private, 111128, 10th, 6, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+31, Self-emp-not-inc, 348038, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 50, Puerto-Rico, >50K
+33, Private, 93930, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+67, Private, 397831, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1539, 40, United-States, <=50K
+46, Private, 33794, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 10, United-States, <=50K
+45, Private, 178215, 9th, 5, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, United-States, >50K
+17, Local-gov, 191910, 11th, 7, Never-married, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+35, Private, 340110, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1848, 70, United-States, >50K
+48, Self-emp-not-inc, 133694, Bachelors, 13, Married-spouse-absent, Exec-managerial, Not-in-family, Black, Male, 0, 0, 40, Jamaica, >50K
+49, Private, 148398, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+20, Private, 133515, Some-college, 10, Never-married, Sales, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+27, Private, 181667, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 5013, 0, 46, Canada, <=50K
+64, Private, 159715, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 20, United-States, <=50K
+53, Federal-gov, 174040, Some-college, 10, Separated, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+52, Private, 117700, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+29, Private, 37215, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K
+32, Self-emp-inc, 46807, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 99999, 0, 40, United-States, >50K
+48, Self-emp-not-inc, 317360, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 20, United-States, >50K
+30, Private, 425627, Some-college, 10, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K
+34, Private, 82623, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 20, United-States, <=50K
+19, ?, 63574, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 50, United-States, <=50K
+39, Private, 140854, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+28, Private, 185061, 11th, 7, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+17, Private, 160118, 12th, 8, Never-married, Sales, Not-in-family, White, Female, 0, 0, 10, ?, <=50K
+54, Private, 282680, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+24, Private, 137591, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 1762, 40, United-States, <=50K
+25, Private, 198163, HS-grad, 9, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+25, Private, 132749, 11th, 7, Divorced, Other-service, Unmarried, White, Female, 0, 0, 12, United-States, <=50K
+48, Local-gov, 31264, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 5178, 0, 40, United-States, >50K
+24, Private, 399449, Bachelors, 13, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+31, Private, 27494, Some-college, 10, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 50, Taiwan, <=50K
+47, Private, 368561, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+45, Private, 102096, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, ?, >50K
+19, Private, 406078, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+52, Self-emp-inc, 100506, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 50, United-States, >50K
+52, Private, 29658, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+19, ?, 20469, HS-grad, 9, Never-married, ?, Other-relative, Asian-Pac-Islander, Female, 0, 0, 12, South, <=50K
+60, Private, 181953, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 28, United-States, <=50K
+43, Private, 304175, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+24, Private, 170070, Assoc-acdm, 12, Divorced, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+20, ?, 193416, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+51, Private, 194908, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+38, Self-emp-not-inc, 357962, 9th, 5, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 214716, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 10, United-States, <=50K
+40, Self-emp-inc, 207578, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, >50K
+54, Private, 146409, Some-college, 10, Widowed, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+35, Private, 341643, Bachelors, 13, Never-married, Other-service, Other-relative, White, Male, 0, 0, 50, United-States, <=50K
+52, Private, 131631, 11th, 7, Separated, Machine-op-inspct, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K
+53, Private, 88842, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 40, United-States, >50K
+56, ?, 128900, Some-college, 10, Widowed, ?, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+35, Private, 417136, HS-grad, 9, Divorced, Craft-repair, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K
+43, Self-emp-not-inc, 336763, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 880, 42, United-States, <=50K
+29, Private, 209301, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Canada, <=50K
+29, Private, 120986, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male, 0, 0, 65, United-States, <=50K
+27, Private, 51025, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+58, Private, 218281, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+64, Private, 114994, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 18, United-States, <=50K
+53, Private, 335481, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 32, United-States, <=50K
+21, Private, 174503, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+40, Self-emp-not-inc, 230478, Assoc-acdm, 12, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+52, State-gov, 149650, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, Iran, >50K
+38, Private, 149419, Assoc-voc, 11, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+40, ?, 341539, Some-college, 10, Divorced, ?, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+39, Private, 185099, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+56, ?, 132930, Masters, 14, Never-married, ?, Not-in-family, White, Female, 0, 0, 50, United-States, >50K
+68, Private, 128472, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K
+24, Private, 124971, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K
+40, Self-emp-inc, 344060, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+43, Self-emp-inc, 286750, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 99, United-States, >50K
+38, Private, 296999, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 70, United-States, <=50K
+45, Private, 123681, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+18, Private, 232024, 11th, 7, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 55, United-States, <=50K
+57, Local-gov, 52267, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+49, Private, 119182, HS-grad, 9, Separated, Other-service, Not-in-family, Black, Female, 0, 0, 35, United-States, <=50K
+25, Private, 191230, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, Yugoslavia, <=50K
+52, Federal-gov, 23780, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+56, Private, 184553, 10th, 6, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 56, United-States, <=50K
+26, Self-emp-inc, 242651, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K
+19, Private, 246226, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+25, Self-emp-inc, 86745, Bachelors, 13, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K
+25, Private, 106889, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 30, United-States, <=50K
+21, Private, 460835, HS-grad, 9, Never-married, Sales, Other-relative, White, Male, 0, 0, 45, United-States, <=50K
+48, Self-emp-not-inc, 213140, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Italy, <=50K
+33, State-gov, 37070, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, Canada, <=50K
+31, State-gov, 93589, HS-grad, 9, Divorced, Protective-serv, Own-child, Other, Male, 0, 0, 40, United-States, <=50K
+26, Self-emp-not-inc, 213258, HS-grad, 9, Divorced, Farming-fishing, Unmarried, White, Male, 0, 0, 65, United-States, <=50K
+37, State-gov, 46814, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K
+29, ?, 168873, Some-college, 10, Divorced, ?, Unmarried, White, Female, 0, 0, 30, United-States, <=50K
+20, Private, 284737, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+28, Private, 309620, Some-college, 10, Married-civ-spouse, Sales, Husband, Other, Male, 0, 0, 60, ?, <=50K
+49, Private, 197418, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 20, United-States, <=50K
+73, ?, 132737, 10th, 6, Never-married, ?, Not-in-family, White, Male, 0, 0, 4, United-States, <=50K
+49, Private, 185041, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 40, United-States, >50K
+51, Private, 159604, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K
+40, Private, 123557, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 275421, Assoc-voc, 11, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+18, Private, 167147, 12th, 8, Never-married, Sales, Own-child, White, Male, 0, 0, 24, United-States, <=50K
+41, Private, 197583, 10th, 6, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, >50K
+46, Private, 175109, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 1485, 40, United-States, >50K
+46, Private, 117502, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K
+64, Private, 180401, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K
+50, Self-emp-not-inc, 146603, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+53, State-gov, 143822, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 36, United-States, >50K
+21, Private, 51985, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+22, State-gov, 48121, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 25, United-States, <=50K
+37, Private, 234807, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Female, 7430, 0, 45, United-States, >50K
+39, Federal-gov, 65324, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 55, United-States, >50K
+30, Private, 302149, Bachelors, 13, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 40, India, <=50K
+25, Private, 168403, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 1741, 40, United-States, <=50K
+26, Private, 159897, Some-college, 10, Never-married, Exec-managerial, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+43, Private, 416338, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+59, Private, 370615, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 60, United-States, <=50K
+27, Private, 219371, HS-grad, 9, Married-spouse-absent, Adm-clerical, Unmarried, White, Female, 0, 0, 40, Jamaica, <=50K
+55, Private, 120970, 10th, 6, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, >50K
+20, Private, 22966, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 12, Canada, <=50K
+25, Private, 34541, Assoc-voc, 11, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 36, Canada, <=50K
+28, Private, 191027, Assoc-acdm, 12, Separated, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 107458, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+60, Private, 121832, 11th, 7, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+37, Local-gov, 233825, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 15024, 0, 50, United-States, >50K
+25, Private, 73839, 11th, 7, Divorced, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+27, Private, 109165, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K
+50, State-gov, 103063, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+41, Self-emp-not-inc, 29762, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 5013, 0, 70, United-States, <=50K
+46, Private, 111979, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 47, United-States, <=50K
+35, Private, 150125, Assoc-voc, 11, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+21, ?, 301853, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+35, ?, 296738, 11th, 7, Separated, ?, Not-in-family, White, Female, 6849, 0, 60, United-States, <=50K
+40, Private, 118001, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+49, Private, 149337, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+29, Private, 36601, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+43, Local-gov, 118600, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 625, 40, United-States, <=50K
+39, Private, 279272, Assoc-acdm, 12, Never-married, Transport-moving, Not-in-family, Black, Male, 0, 0, 60, United-States, <=50K
+35, Private, 181020, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 60, United-States, <=50K
+52, Private, 165998, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 218136, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 40, Outlying-US(Guam-USVI-etc), <=50K
+20, Self-emp-inc, 182200, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+46, Private, 39363, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 10, ?, <=50K
+24, Private, 140001, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 193260, Bachelors, 13, Married-civ-spouse, Craft-repair, Other-relative, Asian-Pac-Islander, Male, 0, 0, 30, India, <=50K
+21, Private, 191243, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+37, Federal-gov, 207887, Bachelors, 13, Divorced, Exec-managerial, Other-relative, White, Female, 0, 0, 50, United-States, <=50K
+43, Federal-gov, 211450, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+19, Private, 184759, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 26, United-States, <=50K
+47, Private, 197836, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K
+61, Private, 232308, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, >50K
+21, ?, 189888, Assoc-acdm, 12, Never-married, ?, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K
+35, Private, 301614, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 60, United-States, <=50K
+60, Private, 146674, 10th, 6, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+27, Private, 225291, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+57, Local-gov, 148509, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 35, India, <=50K
+56, Private, 136413, 1st-4th, 2, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 126060, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+47, Private, 73064, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female, 0, 0, 35, United-States, <=50K
+19, Private, 39026, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+28, Self-emp-not-inc, 33035, 12th, 8, Divorced, Other-service, Unmarried, White, Female, 0, 0, 30, United-States, <=50K
+43, Private, 193494, 10th, 6, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+63, Local-gov, 147440, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+22, ?, 153131, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 64671, HS-grad, 9, Divorced, Handlers-cleaners, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K
+35, Self-emp-not-inc, 225399, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 8614, 0, 40, United-States, >50K
+20, Private, 174391, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+48, Private, 377757, 10th, 6, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 70, United-States, <=50K
+30, Local-gov, 364310, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Black, Female, 0, 0, 40, Germany, <=50K
+31, Private, 110643, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+20, Private, 70240, HS-grad, 9, Never-married, Sales, Own-child, Asian-Pac-Islander, Female, 0, 0, 24, Philippines, <=50K
+57, State-gov, 32694, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+41, Private, 95047, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Wife, White, Female, 7688, 0, 44, United-States, >50K
+33, Private, 264936, HS-grad, 9, Divorced, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+27, Private, 367329, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 56026, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, >50K
+22, Private, 186452, 10th, 6, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+50, Private, 125417, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Wife, Black, Female, 0, 0, 40, United-States, >50K
+40, Self-emp-not-inc, 242082, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K
+37, Private, 31023, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 51, United-States, <=50K
+40, ?, 397346, Assoc-acdm, 12, Divorced, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+53, Private, 424079, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 55, United-States, >50K
+38, Self-emp-not-inc, 108947, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 7688, 0, 40, United-States, >50K
+25, State-gov, 261979, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+51, Private, 55507, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+22, ?, 291407, 12th, 8, Never-married, ?, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+18, Private, 353358, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 16, United-States, <=50K
+41, Private, 67339, 11th, 7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 7688, 0, 40, United-States, >50K
+33, Private, 235109, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+33, Private, 208180, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+67, State-gov, 423561, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+47, Self-emp-not-inc, 145290, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2415, 50, United-States, >50K
+24, Private, 403671, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+32, Local-gov, 49325, 7th-8th, 4, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 370494, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K
+25, Private, 267012, Assoc-voc, 11, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+33, Private, 191856, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+55, Private, 80445, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 379798, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+32, Local-gov, 168387, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K
+18, Private, 301948, HS-grad, 9, Never-married, Protective-serv, Own-child, White, Male, 34095, 0, 3, United-States, <=50K
+36, Private, 274809, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 50, United-States, <=50K
+58, Private, 233193, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 27, United-States, <=50K
+34, Private, 299635, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 50, United-States, >50K
+19, Private, 236396, 11th, 7, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 688355, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+36, Self-emp-inc, 37019, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+37, Private, 148015, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, Black, Female, 15024, 0, 40, United-States, >50K
+43, Private, 122975, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female, 0, 0, 21, Trinadad&Tobago, <=50K
+52, State-gov, 349795, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K
+48, Private, 229846, Assoc-voc, 11, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, ?, <=50K
+43, Private, 108945, Some-college, 10, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 38, United-States, <=50K
+22, Private, 237498, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+57, Private, 188872, 5th-6th, 3, Divorced, Transport-moving, Unmarried, White, Male, 6497, 0, 40, United-States, <=50K
+37, Private, 324019, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+39, Private, 82488, Some-college, 10, Divorced, Sales, Unmarried, Asian-Pac-Islander, Female, 0, 0, 38, United-States, <=50K
+54, Private, 206964, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+27, Private, 37088, Assoc-acdm, 12, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 152540, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+65, Private, 143554, Some-college, 10, Separated, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K
+30, Private, 126242, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K
+22, Private, 127185, 9th, 5, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+26, Private, 164018, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 4064, 0, 50, United-States, <=50K
+25, Private, 210184, 11th, 7, Separated, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+35, ?, 117528, Assoc-voc, 11, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 40, United-States, >50K
+47, Private, 124973, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K
+23, Private, 182117, Assoc-acdm, 12, Never-married, Other-service, Own-child, White, Male, 0, 0, 60, United-States, <=50K
+42, Private, 220049, HS-grad, 9, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 40, United-States, >50K
+39, Self-emp-not-inc, 247975, Some-college, 10, Never-married, Craft-repair, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 30, United-States, <=50K
+55, Private, 50164, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K
+24, State-gov, 123160, Masters, 14, Married-spouse-absent, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 10, China, <=50K
+46, Self-emp-inc, 219962, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 7298, 0, 40, ?, >50K
+53, Private, 79324, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+44, Private, 129100, 11th, 7, Separated, Other-service, Unmarried, Black, Female, 0, 0, 60, United-States, <=50K
+40, Private, 210275, HS-grad, 9, Separated, Transport-moving, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+48, Private, 189462, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 40, United-States, >50K
+26, Private, 171114, Assoc-voc, 11, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 35, United-States, <=50K
+22, Private, 201799, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+35, ?, 200426, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 12, United-States, <=50K
+20, ?, 24395, Some-college, 10, Never-married, ?, Unmarried, White, Female, 0, 0, 20, United-States, <=50K
+43, Private, 191149, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+37, Local-gov, 34173, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 25, United-States, <=50K
+30, Private, 350979, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Laos, <=50K
+41, Private, 147314, HS-grad, 9, Married-civ-spouse, Sales, Husband, Amer-Indian-Eskimo, Male, 0, 0, 50, United-States, <=50K
+38, Private, 136081, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K
+77, ?, 232894, 9th, 5, Married-civ-spouse, ?, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+42, Self-emp-not-inc, 373403, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K
+20, Private, 120601, HS-grad, 9, Never-married, Transport-moving, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+36, Private, 130926, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, White, Female, 3674, 0, 40, United-States, <=50K
+32, Federal-gov, 72338, Assoc-voc, 11, Never-married, Prof-specialty, Other-relative, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K
+27, Private, 129624, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+25, State-gov, 328697, Some-college, 10, Divorced, Protective-serv, Other-relative, White, Male, 0, 0, 45, United-States, <=50K
+40, Private, 191196, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+18, ?, 191117, 11th, 7, Never-married, ?, Own-child, White, Male, 0, 0, 25, United-States, <=50K
+49, Private, 110243, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+17, Private, 181580, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 16, United-States, <=50K
+29, Private, 89030, HS-grad, 9, Never-married, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+47, Private, 345493, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 99999, 0, 55, Taiwan, >50K
+24, Self-emp-not-inc, 277700, Some-college, 10, Separated, Handlers-cleaners, Own-child, White, Male, 0, 0, 45, United-States, <=50K
+58, ?, 198478, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 24, United-States, <=50K
+29, Private, 250679, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+45, Private, 168837, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 24, Canada, >50K
+30, Private, 142675, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+19, Private, 299050, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+59, Private, 107833, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1485, 40, United-States, >50K
+47, Private, 121958, 7th-8th, 4, Married-spouse-absent, Other-service, Unmarried, White, Female, 0, 0, 30, United-States, <=50K
+41, Private, 282948, Some-college, 10, Married-civ-spouse, Tech-support, Husband, Black, Male, 3137, 0, 40, United-States, <=50K
+28, Private, 176683, Assoc-acdm, 12, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, France, <=50K
+46, Private, 34377, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+40, Self-emp-not-inc, 209833, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K
+66, State-gov, 41506, 10th, 6, Divorced, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+30, Local-gov, 125159, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Black, Male, 14084, 0, 45, ?, >50K
+44, Self-emp-not-inc, 147206, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 12, United-States, <=50K
+58, Self-emp-not-inc, 93664, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 60, United-States, >50K
+21, Private, 315065, 7th-8th, 4, Never-married, Other-service, Other-relative, White, Male, 0, 0, 48, Mexico, <=50K
+59, Private, 381851, 9th, 5, Widowed, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+35, Local-gov, 185769, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+45, Private, 186272, 9th, 5, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 5178, 0, 40, United-States, >50K
+30, Private, 312667, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 343925, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 40, Jamaica, <=50K
+26, Private, 195994, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K
+48, Private, 398843, Some-college, 10, Separated, Sales, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K
+31, Private, 73514, HS-grad, 9, Never-married, Sales, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K
+36, Private, 288049, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K
+48, Private, 54759, HS-grad, 9, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 38, United-States, <=50K
+30, Private, 155343, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 5013, 0, 40, United-States, <=50K
+33, Private, 401104, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 50, United-States, >50K
+19, ?, 124884, 9th, 5, Never-married, ?, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K
+37, Local-gov, 287306, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Wife, Black, Female, 99999, 0, 40, ?, >50K
+53, Private, 113995, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+18, Private, 146378, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, ?, <=50K
+38, Private, 111499, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 7298, 0, 50, United-States, >50K
+34, Private, 34374, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+45, Private, 162187, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 52, United-States, >50K
+33, Local-gov, 147654, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K
+35, Private, 182467, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Wife, White, Female, 0, 0, 44, United-States, <=50K
+22, Private, 183970, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+35, Private, 332588, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 30, United-States, <=50K
+45, Private, 26781, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male, 0, 0, 8, United-States, <=50K
+17, Private, 48610, 11th, 7, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 45, United-States, <=50K
+50, Private, 162632, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K
+38, Local-gov, 91711, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+33, Private, 198003, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 50, United-States, >50K
+46, Private, 179048, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 35, ?, <=50K
+25, Private, 262778, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 6849, 0, 50, United-States, <=50K
+64, Private, 102470, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+62, Self-emp-not-inc, 123170, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 10, United-States, <=50K
+32, Private, 164243, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 60, United-States, >50K
+17, Private, 262511, 11th, 7, Never-married, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+61, Private, 51170, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K
+40, State-gov, 91949, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+21, Private, 123727, HS-grad, 9, Never-married, Exec-managerial, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+39, Private, 173175, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K
+35, Self-emp-not-inc, 120301, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K
+29, Private, 250967, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+27, Federal-gov, 285432, Assoc-acdm, 12, Never-married, Transport-moving, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+20, Private, 36235, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+34, ?, 317219, Some-college, 10, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 20, United-States, >50K
+51, Local-gov, 110965, Masters, 14, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+45, Private, 123283, HS-grad, 9, Separated, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 15, United-States, <=50K
+20, ?, 249087, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+31, Private, 152940, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 376680, HS-grad, 9, Never-married, Tech-support, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+56, Private, 231232, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 30, Canada, <=50K
+55, Self-emp-not-inc, 168625, Some-college, 10, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 12, United-States, >50K
+26, Private, 33939, Some-college, 10, Never-married, Tech-support, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+46, Private, 155659, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 15024, 0, 45, United-States, >50K
+32, Local-gov, 190228, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 216178, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 587310, 7th-8th, 4, Never-married, Other-service, Other-relative, White, Male, 0, 0, 35, Guatemala, <=50K
+23, Private, 155919, 9th, 5, Married-spouse-absent, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K
+59, Private, 227386, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 138152, 12th, 8, Never-married, Craft-repair, Other-relative, Other, Male, 0, 0, 48, Guatemala, <=50K
+36, Private, 167482, 10th, 6, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+18, Private, 57957, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+33, Private, 157747, 9th, 5, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K
+60, Self-emp-not-inc, 88570, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Wife, White, Female, 0, 0, 15, Germany, >50K
+40, Private, 273308, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 48, Mexico, <=50K
+48, Private, 216292, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 43, United-States, <=50K
+27, Self-emp-not-inc, 131298, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, <=50K
+19, Private, 386378, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+38, Private, 179668, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+26, Private, 210812, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 43, United-States, <=50K
+45, Federal-gov, 311671, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, White, Male, 3908, 0, 40, United-States, <=50K
+20, Private, 215247, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+32, Federal-gov, 125856, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 74631, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 13, United-States, <=50K
+22, Private, 24008, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+38, State-gov, 354591, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 114, 0, 38, United-States, <=50K
+34, Private, 155343, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1848, 50, United-States, >50K
+46, Private, 308334, 1st-4th, 2, Widowed, Other-service, Unmarried, Other, Female, 0, 0, 30, Mexico, <=50K
+39, Private, 245361, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K
+79, Self-emp-not-inc, 158319, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K
+60, ?, 204486, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 8, United-States, >50K
+24, Private, 314823, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 40, Dominican-Republic, <=50K
+31, Private, 211334, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 2407, 0, 65, United-States, <=50K
+37, Self-emp-not-inc, 73199, Bachelors, 13, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 3137, 0, 77, Vietnam, <=50K
+23, Private, 126550, HS-grad, 9, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 260782, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1579, 45, El-Salvador, <=50K
+29, Private, 114224, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+22, State-gov, 64292, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 43, United-States, <=50K
+69, ?, 628797, Some-college, 10, Widowed, ?, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+55, Local-gov, 219775, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 38, United-States, <=50K
+43, Private, 212894, HS-grad, 9, Divorced, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 260019, 7th-8th, 4, Never-married, Farming-fishing, Unmarried, Other, Male, 0, 0, 36, Mexico, <=50K
+29, Private, 228075, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Male, 0, 0, 35, Mexico, <=50K
+22, Private, 239806, Assoc-voc, 11, Never-married, Other-service, Other-relative, White, Female, 0, 0, 40, Mexico, <=50K
+22, Private, 324637, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K
+25, Private, 163620, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 84, United-States, >50K
+29, Private, 194200, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 45, United-States, <=50K
+25, State-gov, 129200, Some-college, 10, Never-married, Transport-moving, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+33, Federal-gov, 207172, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+33, Private, 135312, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+31, Private, 100734, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 28, United-States, <=50K
+30, Local-gov, 226443, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1887, 45, United-States, >50K
+55, Private, 110871, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 192704, 12th, 8, Never-married, Exec-managerial, Not-in-family, White, Male, 4650, 0, 50, United-States, <=50K
+47, ?, 224108, HS-grad, 9, Widowed, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+28, Private, 78870, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 8614, 0, 40, United-States, >50K
+42, Private, 107762, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+51, Private, 183611, Assoc-acdm, 12, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 55, Germany, <=50K
+62, Local-gov, 249078, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+65, Self-emp-inc, 208452, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 35, United-States, >50K
+23, Private, 302195, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+60, ?, 199947, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 32, United-States, <=50K
+47, Private, 379118, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 60, United-States, >50K
+50, Self-emp-inc, 174855, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+70, ?, 173736, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 6, United-States, <=50K
+32, Self-emp-not-inc, 39369, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+37, Federal-gov, 196348, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 340917, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Male, 14344, 0, 40, United-States, >50K
+76, Private, 97077, 10th, 6, Widowed, Sales, Unmarried, Black, Female, 0, 0, 12, United-States, <=50K
+54, Private, 200098, Bachelors, 13, Divorced, Sales, Not-in-family, Black, Female, 0, 0, 60, United-States, <=50K
+32, Federal-gov, 127651, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+31, Private, 315128, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 52, United-States, <=50K
+31, Federal-gov, 206823, Bachelors, 13, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 50, United-States, >50K
+65, Self-emp-not-inc, 316093, Prof-school, 15, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 1668, 40, United-States, <=50K
+30, Private, 112115, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 60, Ireland, >50K
+63, ?, 203821, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 250051, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 10, United-States, <=50K
+40, Federal-gov, 298635, Masters, 14, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male, 0, 1902, 40, Philippines, >50K
+26, State-gov, 109193, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+18, Private, 130849, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 8, United-States, <=50K
+34, Local-gov, 43959, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 50, United-States, <=50K
+66, Local-gov, 222810, Some-college, 10, Divorced, Other-service, Other-relative, White, Female, 7896, 0, 40, ?, >50K
+44, Self-emp-not-inc, 27242, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 60, United-States, <=50K
+30, Private, 53158, Assoc-acdm, 12, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+36, Self-emp-not-inc, 206520, Bachelors, 13, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 164190, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+22, Private, 287988, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K
+28, ?, 200819, 7th-8th, 4, Divorced, ?, Own-child, White, Male, 0, 0, 84, United-States, <=50K
+23, Private, 83891, HS-grad, 9, Never-married, Sales, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K
+49, Private, 65087, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K
+39, Self-emp-not-inc, 363418, Bachelors, 13, Separated, Craft-repair, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+67, ?, 182378, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 9386, 0, 60, United-States, >50K
+19, Private, 278870, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 16, United-States, <=50K
+30, Private, 174789, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1848, 50, United-States, >50K
+25, Private, 228608, Some-college, 10, Never-married, Craft-repair, Other-relative, Asian-Pac-Islander, Female, 0, 0, 40, Cambodia, <=50K
+24, Private, 184400, HS-grad, 9, Never-married, Transport-moving, Own-child, Asian-Pac-Islander, Male, 0, 0, 30, ?, <=50K
+46, Private, 263568, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 117381, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K
+41, Federal-gov, 83411, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+40, Self-emp-not-inc, 49156, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 20, United-States, <=50K
+44, Private, 421449, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+32, Private, 238944, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+58, Private, 188982, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 20, United-States, >50K
+48, Private, 175925, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, <=50K
+34, Private, 164190, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 232914, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+46, Self-emp-inc, 120121, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+36, Local-gov, 180805, HS-grad, 9, Never-married, Transport-moving, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K
+59, Local-gov, 161944, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K
+29, Private, 319149, 12th, 8, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+50, ?, 22428, Masters, 14, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 290528, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 123984, Assoc-acdm, 12, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 35, Philippines, <=50K
+48, Private, 34186, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 70, United-States, <=50K
+51, Federal-gov, 282680, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 1564, 70, United-States, >50K
+36, Private, 183892, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 8614, 0, 45, United-States, >50K
+42, Local-gov, 195124, 11th, 7, Divorced, Sales, Unmarried, White, Male, 7430, 0, 50, Puerto-Rico, >50K
+49, State-gov, 55938, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+33, Private, 209900, Some-college, 10, Never-married, Tech-support, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+40, Private, 179717, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 0, 1564, 60, United-States, >50K
+26, Private, 150361, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+69, ?, 164102, HS-grad, 9, Divorced, ?, Not-in-family, White, Female, 0, 0, 40, United-States, >50K
+59, Private, 252714, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 30, Italy, <=50K
+30, Private, 205204, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+31, Local-gov, 168906, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 35, United-States, <=50K
+30, Private, 112115, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+27, Private, 116531, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+20, ?, 202994, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 16, United-States, <=50K
+56, Private, 191917, Assoc-acdm, 12, Divorced, Adm-clerical, Unmarried, White, Female, 4101, 0, 40, United-States, <=50K
+24, Private, 341294, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+47, Private, 216734, Bachelors, 13, Divorced, Sales, Unmarried, White, Female, 0, 0, 50, United-States, <=50K
+51, Private, 182187, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Black, Male, 0, 0, 35, United-States, <=50K
+34, Private, 424988, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+47, Private, 379118, HS-grad, 9, Divorced, Other-service, Unmarried, Black, Male, 0, 0, 9, United-States, <=50K
+47, Private, 168232, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 44, United-States, >50K
+20, Private, 147171, Some-college, 10, Never-married, Adm-clerical, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, Vietnam, <=50K
+34, Self-emp-inc, 207668, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 54, ?, >50K
+31, Private, 193650, 11th, 7, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+42, Private, 200187, Assoc-voc, 11, Divorced, Other-service, Unmarried, White, Female, 0, 0, 32, United-States, <=50K
+52, Private, 188644, 5th-6th, 3, Married-spouse-absent, Craft-repair, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K
+56, Private, 398067, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+53, Private, 29658, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+26, Private, 154966, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+81, Private, 364099, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+28, ?, 291374, 10th, 6, Never-married, ?, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+57, Federal-gov, 97837, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 48, United-States, >50K
+34, Private, 117983, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+31, ?, 345497, 10th, 6, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 64167, Assoc-voc, 11, Never-married, Tech-support, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+20, Private, 315877, HS-grad, 9, Never-married, Other-service, Unmarried, White, Male, 0, 2001, 40, United-States, <=50K
+68, Federal-gov, 232151, Some-college, 10, Divorced, Adm-clerical, Other-relative, Black, Female, 2346, 0, 40, United-States, <=50K
+60, Private, 225526, HS-grad, 9, Separated, Sales, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K
+37, Federal-gov, 289653, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 179462, 7th-8th, 4, Never-married, Handlers-cleaners, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+36, Federal-gov, 67317, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+45, Private, 77764, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 253438, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K
+31, Private, 150309, Bachelors, 13, Separated, Exec-managerial, Not-in-family, White, Female, 0, 0, 70, United-States, <=50K
+47, Self-emp-not-inc, 83064, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K
+60, Self-emp-not-inc, 376973, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 42, United-States, >50K
+75, Private, 311184, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 24, United-States, <=50K
+43, Local-gov, 159449, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K
+18, Private, 168288, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 74883, Bachelors, 13, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Female, 0, 1092, 40, Philippines, <=50K
+20, Private, 275190, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+32, Private, 189838, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+57, Self-emp-inc, 101338, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 20, United-States, <=50K
+43, Private, 331894, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, >50K
+18, Self-emp-not-inc, 40293, HS-grad, 9, Never-married, Farming-fishing, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+41, Local-gov, 88904, Bachelors, 13, Separated, Prof-specialty, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+48, Private, 145041, HS-grad, 9, Never-married, Machine-op-inspct, Other-relative, White, Male, 0, 0, 40, Dominican-Republic, <=50K
+35, Private, 46385, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 5178, 0, 90, United-States, >50K
+41, State-gov, 363591, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 183327, HS-grad, 9, Never-married, Craft-repair, Own-child, Black, Female, 0, 1594, 20, United-States, <=50K
+32, State-gov, 182556, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 1887, 45, United-States, >50K
+33, Private, 267859, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, El-Salvador, <=50K
+58, Private, 190747, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 162869, Some-college, 10, Never-married, Sales, Other-relative, White, Male, 0, 0, 65, United-States, <=50K
+33, Private, 141229, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+42, Self-emp-not-inc, 174216, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 38, United-States, >50K
+25, Private, 366416, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+39, Private, 172538, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+35, Private, 193026, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K
+50, Private, 184424, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 1902, 38, United-States, >50K
+49, Local-gov, 337768, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+25, Local-gov, 179059, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+47, Federal-gov, 99549, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+46, Private, 72619, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K
+42, State-gov, 55764, Assoc-acdm, 12, Divorced, Prof-specialty, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+37, Private, 30267, 11th, 7, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 60, United-States, >50K
+25, Private, 308144, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K
+29, Private, 206351, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 5013, 0, 40, United-States, <=50K
+26, Private, 282304, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+26, ?, 176077, Some-college, 10, Never-married, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+45, Self-emp-inc, 142719, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+34, Private, 114973, HS-grad, 9, Separated, Exec-managerial, Unmarried, White, Female, 0, 0, 30, United-States, <=50K
+33, Federal-gov, 159548, Assoc-acdm, 12, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+43, Private, 91209, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+28, Private, 196564, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+51, Self-emp-not-inc, 149220, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 75, United-States, <=50K
+21, Private, 169699, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+23, Private, 218215, Assoc-acdm, 12, Never-married, Other-service, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+30, Private, 156718, HS-grad, 9, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+46, Private, 55720, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+38, Self-emp-inc, 257250, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+20, Private, 194630, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 398931, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1485, 50, United-States, >50K
+37, Self-emp-not-inc, 362062, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 50, United-States, >50K
+44, Local-gov, 101593, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 1876, 42, United-States, <=50K
+33, Private, 196266, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+45, Local-gov, 197332, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+47, Private, 97842, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+54, Private, 86837, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 1902, 40, United-States, >50K
+17, Private, 57324, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+43, Private, 116852, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 36, Portugal, >50K
+45, Private, 154430, Bachelors, 13, Widowed, Prof-specialty, Not-in-family, White, Female, 10520, 0, 50, United-States, >50K
+37, Private, 38468, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+44, Local-gov, 188808, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+55, Local-gov, 177163, Masters, 14, Widowed, Prof-specialty, Unmarried, White, Female, 914, 0, 50, United-States, <=50K
+41, Private, 187322, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, <=50K
+23, Private, 107578, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 2174, 0, 40, United-States, <=50K
+38, Private, 168680, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+23, Private, 256755, Bachelors, 13, Never-married, Handlers-cleaners, Other-relative, White, Female, 0, 0, 40, Cuba, <=50K
+35, Private, 360799, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 40, United-States, >50K
+18, Private, 188476, 11th, 7, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+47, Private, 30457, Assoc-voc, 11, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 252752, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 8, United-States, <=50K
+41, Self-emp-not-inc, 443508, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K
+23, Private, 244408, Some-college, 10, Never-married, Adm-clerical, Other-relative, Asian-Pac-Islander, Female, 0, 0, 24, Vietnam, <=50K
+41, Private, 178983, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K
+26, Private, 143068, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 2407, 0, 50, United-States, <=50K
+30, Local-gov, 247328, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+42, Private, 201732, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+35, Private, 246829, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+28, ?, 290267, Bachelors, 13, Never-married, ?, Not-in-family, White, Male, 0, 0, 18, United-States, <=50K
+29, Private, 119170, Some-college, 10, Separated, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+21, Private, 207923, Some-college, 10, Married-spouse-absent, Adm-clerical, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+48, State-gov, 170142, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+44, Self-emp-not-inc, 187164, HS-grad, 9, Divorced, Transport-moving, Unmarried, White, Male, 0, 0, 60, United-States, <=50K
+34, Local-gov, 303867, 9th, 5, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+19, Private, 291429, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+32, Private, 213179, Some-college, 10, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, >50K
+31, State-gov, 111843, Assoc-acdm, 12, Separated, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+25, Private, 297154, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 2407, 0, 40, United-States, <=50K
+47, Federal-gov, 68493, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, >50K
+46, Federal-gov, 340718, 11th, 7, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+18, Private, 194059, 12th, 8, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 47296, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 1740, 20, United-States, <=50K
+28, State-gov, 286310, HS-grad, 9, Married-civ-spouse, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+38, Private, 207202, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, >50K
+33, Self-emp-inc, 132601, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+17, ?, 139183, 10th, 6, Never-married, ?, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+41, Private, 160785, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+46, Private, 117849, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 40, United-States, >50K
+38, Local-gov, 225605, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 44, United-States, <=50K
+24, Private, 190290, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+49, Private, 164799, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K
+60, Federal-gov, 21876, Some-college, 10, Divorced, Prof-specialty, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K
+44, Private, 160785, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K
+63, Self-emp-inc, 272425, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+40, Private, 168538, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K
+45, Self-emp-inc, 204205, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+49, Private, 142287, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 1902, 50, United-States, >50K
+36, Private, 169926, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+65, Local-gov, 205024, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 8, United-States, <=50K
+41, Private, 374764, Bachelors, 13, Widowed, Exec-managerial, Unmarried, White, Male, 0, 0, 20, United-States, <=50K
+25, Private, 108779, Masters, 14, Separated, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+20, ?, 293136, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+60, Private, 227332, Assoc-voc, 11, Widowed, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+17, Local-gov, 246308, 11th, 7, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 20, Puerto-Rico, <=50K
+28, Private, 51331, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 16, United-States, >50K
+31, Private, 153078, Assoc-acdm, 12, Never-married, Craft-repair, Own-child, Other, Male, 0, 0, 50, United-States, <=50K
+47, Private, 169180, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+45, Self-emp-not-inc, 193451, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K
+51, Private, 305147, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 138892, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+44, Self-emp-not-inc, 402397, Masters, 14, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 1902, 60, United-States, >50K
+34, Private, 223267, HS-grad, 9, Never-married, Exec-managerial, Other-relative, White, Male, 0, 0, 50, United-States, <=50K
+19, Private, 29250, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 10, United-States, <=50K
+51, ?, 203953, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, >50K
+46, State-gov, 29696, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 315640, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 1977, 40, China, >50K
+37, Private, 632613, 10th, 6, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 35, Mexico, <=50K
+56, Private, 282023, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K
+29, Private, 77760, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, <=50K
+46, Self-emp-not-inc, 148599, Masters, 14, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K
+55, Private, 414994, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+45, Private, 339863, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 8614, 0, 48, United-States, >50K
+34, Private, 499249, HS-grad, 9, Married-spouse-absent, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, Guatemala, <=50K
+45, ?, 144354, 9th, 5, Separated, ?, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+41, Private, 252058, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+22, ?, 99543, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+34, Private, 117963, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+27, Private, 194652, HS-grad, 9, Never-married, Craft-repair, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+29, Private, 299705, Some-college, 10, Never-married, Handlers-cleaners, Unmarried, Black, Male, 0, 0, 37, United-States, <=50K
+19, Federal-gov, 27433, 12th, 8, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+47, Local-gov, 39986, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+43, Self-emp-inc, 135342, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+52, Private, 270142, Assoc-voc, 11, Separated, Exec-managerial, Unmarried, Black, Female, 0, 0, 60, United-States, <=50K
+33, Self-emp-not-inc, 118267, Assoc-acdm, 12, Divorced, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+29, Private, 266043, 9th, 5, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 35633, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 74568, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+39, Private, 214816, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K
+43, Private, 222971, 5th-6th, 3, Never-married, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K
+31, Private, 259425, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+47, Self-emp-inc, 212120, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+26, Private, 245880, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+58, Local-gov, 54947, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K
+47, Self-emp-inc, 79627, Prof-school, 15, Divorced, Prof-specialty, Not-in-family, White, Male, 27828, 0, 50, United-States, >50K
+55, Private, 151474, Bachelors, 13, Never-married, Tech-support, Other-relative, White, Female, 0, 1590, 38, United-States, <=50K
+26, Private, 132661, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 5013, 0, 40, United-States, <=50K
+28, Private, 161674, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+36, Private, 62346, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+40, Private, 227236, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K
+19, Private, 283033, 11th, 7, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+63, Self-emp-not-inc, 298249, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 10605, 0, 40, United-States, >50K
+42, Private, 251229, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+76, Private, 199949, 9th, 5, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 13, United-States, <=50K
+23, State-gov, 305498, Assoc-voc, 11, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+38, Self-emp-not-inc, 203836, 5th-6th, 3, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+33, State-gov, 79440, Masters, 14, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 30, Japan, <=50K
+48, Local-gov, 142719, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+56, Private, 119859, Some-college, 10, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+32, Private, 141410, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+44, Local-gov, 202872, Some-college, 10, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 25, United-States, <=50K
+27, Private, 198813, HS-grad, 9, Divorced, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+33, Federal-gov, 129707, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+22, Private, 445758, 5th-6th, 3, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K
+18, ?, 30246, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+44, Private, 173981, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+42, Private, 108506, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male, 0, 0, 60, United-States, <=50K
+34, Private, 134886, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+45, Federal-gov, 181970, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 1672, 40, United-States, <=50K
+57, Self-emp-inc, 282913, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, Cuba, <=50K
+59, Local-gov, 196013, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+33, Federal-gov, 348491, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, Black, Female, 0, 0, 40, United-States, >50K
+52, Private, 416164, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, Other, Male, 0, 0, 49, Mexico, <=50K
+17, Private, 121037, 12th, 8, Never-married, Sales, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+29, Private, 103111, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, Canada, <=50K
+63, Self-emp-not-inc, 147589, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 30, United-States, >50K
+20, Private, 24008, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 24, United-States, <=50K
+42, Self-emp-inc, 123838, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 50, United-States, >50K
+50, Self-emp-not-inc, 175456, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K
+55, Private, 84774, HS-grad, 9, Married-civ-spouse, Priv-house-serv, Wife, White, Female, 0, 0, 30, United-States, <=50K
+27, Private, 194590, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 25, United-States, <=50K
+28, Private, 134566, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K
+55, Private, 211678, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, <=50K
+44, Federal-gov, 44822, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+53, State-gov, 144586, Some-college, 10, Never-married, Protective-serv, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+23, Private, 119156, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 371987, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+44, State-gov, 144125, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+55, Private, 31905, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 40, United-States, >50K
+48, Self-emp-not-inc, 121124, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, >50K
+46, Private, 58126, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 318518, Some-college, 10, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 296509, 7th-8th, 4, Separated, Farming-fishing, Not-in-family, White, Male, 0, 0, 45, Mexico, <=50K
+32, Private, 473133, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+52, Private, 155434, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 48, United-States, <=50K
+52, Private, 99185, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 7298, 0, 50, United-States, >50K
+39, Private, 56648, HS-grad, 9, Separated, Sales, Not-in-family, White, Female, 0, 0, 47, United-States, <=50K
+57, Local-gov, 118481, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 40, United-States, >50K
+21, Private, 321666, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 594, 0, 40, United-States, <=50K
+22, State-gov, 119838, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 10, United-States, <=50K
+26, Private, 330695, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+26, State-gov, 58039, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+44, Private, 313022, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, United-States, >50K
+42, Private, 178134, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+40, Private, 165309, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 43, United-States, <=50K
+22, Private, 216181, 11th, 7, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 45, United-States, <=50K
+62, Private, 178745, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K
+44, Private, 111067, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+18, ?, 163788, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+33, Self-emp-not-inc, 295591, 1st-4th, 2, Married-spouse-absent, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K
+45, Private, 123075, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K
+18, Private, 78045, 11th, 7, Married-civ-spouse, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+32, Local-gov, 255004, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 254221, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 60, United-States, >50K
+20, Private, 174714, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 15, United-States, <=50K
+68, Self-emp-not-inc, 450580, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 20, United-States, <=50K
+61, Private, 128230, 7th-8th, 4, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+48, Private, 192894, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+45, Private, 325390, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+36, Self-emp-not-inc, 20333, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 7688, 0, 40, United-States, >50K
+32, Federal-gov, 128714, HS-grad, 9, Never-married, Other-service, Own-child, Black, Female, 0, 0, 32, United-States, <=50K
+35, Private, 170797, Bachelors, 13, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+39, Private, 269186, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+53, Private, 127671, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 211840, Some-college, 10, Separated, Sales, Unmarried, Black, Female, 0, 0, 16, United-States, <=50K
+37, Private, 163392, HS-grad, 9, Never-married, Transport-moving, Other-relative, Asian-Pac-Islander, Male, 0, 0, 40, ?, <=50K
+40, Private, 201495, Bachelors, 13, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+25, Private, 251854, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, Jamaica, <=50K
+41, Private, 279297, HS-grad, 9, Never-married, Sales, Not-in-family, Black, Female, 0, 0, 60, United-States, <=50K
+52, Self-emp-not-inc, 195462, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 98, United-States, >50K
+33, Private, 170769, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 142443, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+25, Self-emp-not-inc, 182809, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 40, United-States, >50K
+53, Private, 121441, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K
+44, Private, 275094, 1st-4th, 2, Never-married, Other-service, Own-child, White, Male, 0, 0, 10, United-States, <=50K
+35, Private, 170263, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+38, Private, 172571, Some-college, 10, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 58, Poland, <=50K
+34, Private, 178615, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 279524, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+24, State-gov, 165201, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 45, United-States, <=50K
+65, Local-gov, 323006, HS-grad, 9, Widowed, Other-service, Unmarried, Black, Female, 0, 0, 25, United-States, <=50K
+29, Private, 235168, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K
+39, Self-emp-inc, 114844, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 65, United-States, >50K
+46, Local-gov, 216414, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K
+37, Private, 34378, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 2580, 0, 60, United-States, <=50K
+47, State-gov, 80914, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 47, United-States, >50K
+62, Private, 73292, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+54, Self-emp-not-inc, 212165, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K
+90, Private, 52386, Some-college, 10, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 35, United-States, <=50K
+33, Private, 205649, Assoc-acdm, 12, Married-spouse-absent, Craft-repair, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K
+57, Private, 109638, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1672, 45, United-States, <=50K
+25, Private, 200408, Assoc-acdm, 12, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+44, Self-emp-inc, 187720, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+52, Private, 236180, Bachelors, 13, Married-spouse-absent, Other-service, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+21, Private, 118693, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 363130, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Male, 0, 0, 18, United-States, <=50K
+39, Private, 225544, Masters, 14, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, Poland, <=50K
+59, Federal-gov, 243612, HS-grad, 9, Widowed, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+29, Self-emp-not-inc, 160786, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, <=50K
+49, Private, 234320, 7th-8th, 4, Never-married, Prof-specialty, Other-relative, Black, Male, 0, 0, 45, United-States, <=50K
+34, Private, 314646, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 124971, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 209184, Bachelors, 13, Married-civ-spouse, Sales, Husband, Other, Male, 0, 0, 40, Puerto-Rico, <=50K
+39, State-gov, 121838, HS-grad, 9, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+46, Private, 265275, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K
+50, Private, 71417, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 3103, 0, 40, United-States, >50K
+34, Private, 45522, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+28, Local-gov, 250135, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1902, 55, United-States, <=50K
+18, Private, 120283, 12th, 8, Never-married, Sales, Own-child, White, Female, 0, 0, 24, United-States, <=50K
+20, Private, 216972, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+20, Private, 116791, HS-grad, 9, Never-married, Machine-op-inspct, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+55, State-gov, 26290, Assoc-voc, 11, Widowed, Exec-managerial, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 38, United-States, <=50K
+22, Private, 216134, Some-college, 10, Never-married, Sales, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+60, Self-emp-not-inc, 143932, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 217120, 10th, 6, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+47, State-gov, 223944, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 30, United-States, <=50K
+23, Private, 185452, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 35, Canada, <=50K
+57, Local-gov, 44273, HS-grad, 9, Widowed, Transport-moving, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+52, Private, 178983, 11th, 7, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+42, Private, 219288, 7th-8th, 4, Widowed, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 349190, Assoc-acdm, 12, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+49, Self-emp-inc, 158685, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 2377, 40, United-States, >50K
+41, Federal-gov, 57924, Some-college, 10, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+40, State-gov, 270324, Assoc-voc, 11, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 30, United-States, <=50K
+38, Private, 33001, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K
+58, Private, 204021, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, Canada, <=50K
+26, Private, 192506, Bachelors, 13, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 35, United-States, <=50K
+57, Private, 372967, 10th, 6, Divorced, Adm-clerical, Other-relative, White, Female, 0, 0, 70, Germany, <=50K
+28, Private, 273929, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 1628, 60, United-States, <=50K
+42, Private, 195821, HS-grad, 9, Separated, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+28, Private, 56179, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 2174, 0, 55, United-States, <=50K
+17, ?, 127003, 9th, 5, Never-married, ?, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+39, Self-emp-not-inc, 124090, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 199600, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+42, Private, 255847, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 4386, 0, 48, United-States, >50K
+51, Self-emp-not-inc, 218311, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 50, United-States, <=50K
+27, Private, 167336, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 39, United-States, <=50K
+41, Private, 59938, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 43, United-States, <=50K
+28, Private, 263728, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+54, Self-emp-not-inc, 278230, Some-college, 10, Divorced, Farming-fishing, Unmarried, White, Female, 10520, 0, 30, United-States, >50K
+73, ?, 180603, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 8, United-States, <=50K
+49, Private, 43910, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 30, United-States, <=50K
+47, Private, 190139, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+27, Private, 109001, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 49, United-States, <=50K
+42, Local-gov, 159931, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 45, United-States, >50K
+32, Private, 194987, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 40, United-States, <=50K
+32, Local-gov, 87310, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 41, United-States, <=50K
+27, Private, 133937, Masters, 14, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 207064, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+22, Private, 36011, Assoc-voc, 11, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+41, Federal-gov, 168294, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 5178, 0, 40, United-States, >50K
+49, Local-gov, 194895, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 7298, 0, 40, United-States, >50K
+58, Self-emp-not-inc, 49884, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K
+41, Self-emp-not-inc, 27305, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 7688, 0, 40, United-States, >50K
+26, Private, 229977, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K
+21, Private, 64520, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K
+32, ?, 134886, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 2, United-States, >50K
+37, Private, 305379, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+23, Private, 202284, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+42, Self-emp-not-inc, 99185, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+25, Private, 159662, HS-grad, 9, Married-civ-spouse, Sales, Own-child, White, Male, 0, 0, 26, United-States, >50K
+67, Private, 197865, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+41, Local-gov, 175149, HS-grad, 9, Divorced, Transport-moving, Not-in-family, Black, Female, 0, 0, 38, United-States, <=50K
+49, Local-gov, 349633, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 50, United-States, >50K
+36, Private, 135293, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 1506, 0, 45, ?, <=50K
+18, Private, 242893, 11th, 7, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+25, Private, 218667, 5th-6th, 3, Married-civ-spouse, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+43, State-gov, 144811, Prof-school, 15, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+38, Private, 146091, Doctorate, 16, Married-civ-spouse, Exec-managerial, Wife, White, Female, 99999, 0, 36, United-States, >50K
+21, Private, 206861, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 20, ?, <=50K
+65, Self-emp-not-inc, 226215, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 15, United-States, <=50K
+66, Private, 114447, Assoc-voc, 11, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+33, Private, 124187, 11th, 7, Never-married, Transport-moving, Not-in-family, Black, Male, 0, 0, 60, United-States, <=50K
+51, Private, 147954, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 3411, 0, 38, United-States, <=50K
+27, Self-emp-inc, 64379, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1740, 40, United-States, <=50K
+17, Private, 156501, 12th, 8, Never-married, Other-service, Own-child, White, Female, 0, 0, 16, United-States, <=50K
+32, Private, 207668, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 45, United-States, >50K
+61, ?, 161279, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K
+38, Private, 225707, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Cuba, >50K
+43, Local-gov, 115603, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+40, State-gov, 506329, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Taiwan, >50K
+63, Private, 275034, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1740, 35, United-States, <=50K
+76, ?, 172637, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 20, United-States, >50K
+42, Private, 56483, Assoc-acdm, 12, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+43, Federal-gov, 144778, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+76, Self-emp-not-inc, 33213, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 30, ?, >50K
+41, Local-gov, 297248, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2415, 45, United-States, >50K
+17, Private, 137042, 10th, 6, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+30, Self-emp-not-inc, 33308, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 158420, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, Iran, <=50K
+22, Private, 41763, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K
+53, ?, 220640, Bachelors, 13, Divorced, ?, Other-relative, Other, Female, 0, 0, 20, United-States, <=50K
+28, Private, 149734, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 52, United-States, <=50K
+25, ?, 262245, Assoc-voc, 11, Never-married, ?, Own-child, White, Female, 3418, 0, 40, United-States, <=50K
+24, Private, 349691, Some-college, 10, Never-married, Sales, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K
+47, Private, 185385, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K
+34, Self-emp-not-inc, 174463, Assoc-voc, 11, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+26, Private, 236068, Some-college, 10, Never-married, Sales, Other-relative, White, Female, 0, 0, 20, United-States, <=50K
+63, ?, 445168, Bachelors, 13, Widowed, ?, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 56, United-States, <=50K
+25, Private, 91334, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 75, United-States, <=50K
+28, Private, 33895, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+36, Private, 214816, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+24, Private, 229773, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+51, Self-emp-inc, 166386, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, Asian-Pac-Islander, Female, 0, 0, 35, Taiwan, <=50K
+44, Private, 266135, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+18, Private, 300379, 12th, 8, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 12, United-States, <=50K
+54, Federal-gov, 392502, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+61, Private, 73809, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+51, Private, 193720, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+43, Private, 316183, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+51, Private, 162944, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+50, Local-gov, 186888, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, Black, Female, 0, 0, 40, United-States, >50K
+27, ?, 330132, HS-grad, 9, Never-married, ?, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K
+24, Private, 192017, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 30, United-States, <=50K
+20, State-gov, 161978, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 20, United-States, <=50K
+52, Private, 202930, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+57, Local-gov, 323309, 7th-8th, 4, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+49, Self-emp-inc, 197332, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K
+42, Self-emp-inc, 204033, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 35, ?, <=50K
+22, Private, 271274, 11th, 7, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+38, Private, 174242, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K
+21, Private, 209483, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+39, Federal-gov, 99146, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 1887, 60, United-States, >50K
+52, Self-emp-not-inc, 102346, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+25, Private, 181666, Assoc-acdm, 12, Never-married, Tech-support, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+50, Private, 207367, Some-college, 10, Married-spouse-absent, Other-service, Not-in-family, White, Female, 0, 0, 40, Cuba, <=50K
+35, State-gov, 82622, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 80, United-States, <=50K
+50, Private, 202296, Assoc-voc, 11, Separated, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+58, Private, 142182, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 25, United-States, <=50K
+48, Federal-gov, 94342, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+30, Private, 41493, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, Canada, <=50K
+18, Private, 181712, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 12, United-States, <=50K
+29, Self-emp-not-inc, 164607, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+52, Self-emp-not-inc, 41496, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K
+63, Private, 143098, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 4064, 0, 40, United-States, <=50K
+36, Local-gov, 196529, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K
+24, Private, 157332, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 42, United-States, <=50K
+30, Local-gov, 154935, Assoc-acdm, 12, Never-married, Protective-serv, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+23, Private, 223231, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male, 0, 0, 40, Mexico, <=50K
+35, ?, 253860, HS-grad, 9, Divorced, ?, Unmarried, White, Female, 0, 0, 20, United-States, <=50K
+21, Private, 362589, Bachelors, 13, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+28, Private, 94880, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 43, Mexico, <=50K
+20, Private, 309580, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+18, Private, 130389, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, Scotland, <=50K
+21, Private, 349365, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+27, Private, 376936, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+42, Private, 179557, Some-college, 10, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+21, Private, 105577, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+51, Private, 224207, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+27, Federal-gov, 47907, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+23, Self-emp-not-inc, 191283, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+57, Private, 20953, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 1902, 40, United-States, >50K
+22, State-gov, 186569, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 12, United-States, <=50K
+59, Private, 43221, 9th, 5, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, >50K
+38, Private, 161141, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 203003, HS-grad, 9, Never-married, Transport-moving, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+90, Private, 141758, 9th, 5, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+35, Private, 113322, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+50, Private, 343847, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 38, United-States, >50K
+45, Private, 214068, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+44, Private, 116632, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+23, Private, 240160, Assoc-acdm, 12, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 516337, 11th, 7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+23, Self-emp-inc, 284651, Bachelors, 13, Divorced, Sales, Not-in-family, White, Female, 0, 0, 43, United-States, <=50K
+39, State-gov, 141420, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K
+19, Private, 42750, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K
+54, Private, 165278, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+40, Private, 167265, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 43, United-States, <=50K
+44, Private, 139907, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 50, United-States, <=50K
+31, Self-emp-inc, 236415, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 20, United-States, >50K
+25, Private, 312966, 9th, 5, Separated, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, El-Salvador, <=50K
+33, Private, 118941, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 32, United-States, >50K
+32, Private, 198068, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+36, Private, 373952, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+47, Self-emp-not-inc, 236111, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, Other, Male, 0, 0, 55, United-States, >50K
+80, Private, 157778, Masters, 14, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 10, United-States, <=50K
+21, Private, 143604, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 8, United-States, <=50K
+35, Self-emp-not-inc, 319831, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K
+77, ?, 132728, Masters, 14, Divorced, ?, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+30, Private, 137606, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 5013, 0, 40, United-States, <=50K
+35, ?, 61343, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+49, Private, 268234, 7th-8th, 4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 100135, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 1740, 25, United-States, <=50K
+53, Self-emp-not-inc, 34973, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 45, United-States, <=50K
+41, Private, 323790, HS-grad, 9, Divorced, Handlers-cleaners, Unmarried, White, Male, 0, 0, 55, United-States, <=50K
+57, Private, 319733, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Poland, >50K
+21, ?, 180339, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+19, Private, 125591, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+28, Private, 60772, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 45, United-States, <=50K
+42, Federal-gov, 74680, Masters, 14, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 2001, 60, United-States, <=50K
+29, Self-emp-not-inc, 141185, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 55, United-States, <=50K
+38, ?, 204668, Assoc-voc, 11, Separated, ?, Unmarried, White, Female, 0, 0, 25, United-States, <=50K
+26, Private, 273792, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+41, Private, 70037, Some-college, 10, Never-married, Craft-repair, Unmarried, White, Male, 0, 3004, 60, ?, >50K
+40, Private, 343068, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+36, Self-emp-not-inc, 177907, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+28, Private, 144063, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+25, Self-emp-not-inc, 257574, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 20, United-States, <=50K
+42, Self-emp-not-inc, 67065, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K
+32, Private, 183356, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 152940, Assoc-acdm, 12, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+37, Private, 227128, 5th-6th, 3, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+39, Local-gov, 45607, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 56, United-States, <=50K
+49, Private, 155489, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+28, ?, 230704, HS-grad, 9, Never-married, ?, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+24, ?, 267955, 9th, 5, Never-married, ?, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+19, Private, 165115, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+31, Private, 49923, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 272240, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+29, Private, 255476, 7th-8th, 4, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 30, Mexico, <=50K
+59, Private, 194290, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 48, United-States, <=50K
+52, Private, 145548, Assoc-acdm, 12, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K
+27, Private, 175262, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+45, Local-gov, 37306, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K
+58, Private, 137547, Bachelors, 13, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 40, South, <=50K
+53, Private, 276515, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, Cuba, <=50K
+23, Private, 174626, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 25, United-States, <=50K
+35, Private, 215310, 11th, 7, Divorced, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+49, Private, 332355, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+49, Private, 204057, Assoc-acdm, 12, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+25, Private, 391591, 12th, 8, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+47, Private, 169092, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 50, United-States, >50K
+28, Private, 230743, Assoc-acdm, 12, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+20, Private, 190963, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+74, ?, 204840, 5th-6th, 3, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 56, Mexico, <=50K
+19, Private, 169853, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 24, United-States, <=50K
+28, Private, 212091, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 2580, 0, 40, United-States, <=50K
+31, Private, 202822, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+61, ?, 226989, Some-college, 10, Married-spouse-absent, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 140011, Assoc-voc, 11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 53, United-States, <=50K
+20, ?, 432376, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, Germany, <=50K
+35, Private, 90273, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, ?, >50K
+23, Private, 224424, Bachelors, 13, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 168943, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 30, United-States, >50K
+19, Private, 571853, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+30, Private, 156464, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, >50K
+26, Private, 108542, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+34, Local-gov, 194325, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K
+49, Private, 114797, Bachelors, 13, Divorced, Exec-managerial, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+35, Private, 40135, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 2042, 40, United-States, <=50K
+38, Private, 204756, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+36, Private, 228190, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 20, United-States, <=50K
+33, Private, 163392, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male, 0, 0, 48, United-States, >50K
+54, Private, 138845, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+19, Local-gov, 169853, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+18, Never-worked, 206359, 10th, 6, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+60, Private, 224097, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+28, Self-emp-not-inc, 160786, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+43, Self-emp-not-inc, 190044, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+49, Local-gov, 145290, 5th-6th, 3, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 120268, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 70, United-States, <=50K
+17, Private, 327434, 10th, 6, Never-married, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+41, Self-emp-inc, 218302, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K
+30, Private, 1184622, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 35, United-States, <=50K
+90, Local-gov, 227796, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 20051, 0, 60, United-States, >50K
+25, Private, 206343, HS-grad, 9, Never-married, Protective-serv, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 36851, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 35, United-States, <=50K
+29, Private, 148550, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+55, Private, 157079, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 40, ?, >50K
+31, Federal-gov, 142470, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+43, Private, 86750, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 99, United-States, <=50K
+63, Private, 361631, Masters, 14, Separated, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, >50K
+46, Private, 163229, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+59, Private, 179594, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+42, Private, 254773, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, Black, Female, 0, 0, 50, United-States, >50K
+26, Private, 58065, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+26, Private, 205428, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K
+20, ?, 41183, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+19, ?, 308064, HS-grad, 9, Never-married, ?, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+61, Private, 173924, 9th, 5, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, Puerto-Rico, >50K
+23, State-gov, 142547, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 119704, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K
+35, Private, 275364, Bachelors, 13, Divorced, Tech-support, Unmarried, White, Male, 7430, 0, 40, Germany, >50K
+42, Self-emp-not-inc, 207392, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 12, United-States, <=50K
+31, Private, 147215, 12th, 8, Divorced, Other-service, Unmarried, White, Female, 0, 0, 21, United-States, <=50K
+31, Private, 101562, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 55, United-States, <=50K
+63, Private, 216413, Bachelors, 13, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K
+29, State-gov, 188986, Assoc-voc, 11, Never-married, Tech-support, Not-in-family, White, Female, 0, 1590, 64, United-States, <=50K
+43, State-gov, 52849, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 304710, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 10, Vietnam, <=50K
+17, Private, 265657, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 25, United-States, <=50K
+23, Self-emp-not-inc, 258298, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Male, 0, 2231, 40, United-States, >50K
+35, Private, 360814, 9th, 5, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+32, Private, 53260, HS-grad, 9, Divorced, Other-service, Unmarried, Other, Female, 0, 0, 28, United-States, <=50K
+50, Self-emp-inc, 127315, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 60, United-States, >50K
+25, Private, 233777, HS-grad, 9, Never-married, Transport-moving, Other-relative, White, Male, 0, 0, 40, ?, <=50K
+26, Local-gov, 197530, Masters, 14, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+32, Private, 340940, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 88432, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+57, Private, 183810, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+90, Private, 51744, Masters, 14, Never-married, Exec-managerial, Not-in-family, Black, Male, 0, 0, 50, United-States, >50K
+35, Private, 175614, Assoc-voc, 11, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, >50K
+31, Self-emp-not-inc, 235237, Some-college, 10, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 60, United-States, >50K
+60, Private, 227266, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 33, United-States, <=50K
+21, Private, 146499, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Other-relative, White, Female, 0, 1579, 40, United-States, <=50K
+71, Local-gov, 337064, Masters, 14, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+22, Private, 141003, Assoc-voc, 11, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+50, Local-gov, 117791, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+37, Private, 172846, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K
+23, Private, 73514, HS-grad, 9, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, Vietnam, <=50K
+74, Private, 211075, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 30, United-States, <=50K
+67, Private, 197816, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 1844, 70, United-States, <=50K
+59, Private, 43221, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 43, United-States, >50K
+28, Private, 183780, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1740, 40, United-States, <=50K
+45, Private, 26781, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K
+63, Self-emp-not-inc, 271550, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 20, United-States, <=50K
+39, Private, 250157, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 63, United-States, <=50K
+33, State-gov, 913447, Some-college, 10, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+32, Private, 153078, Bachelors, 13, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, South, <=50K
+34, Private, 181091, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 45, United-States, >50K
+39, Private, 231491, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+29, State-gov, 95423, Masters, 14, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 36, United-States, <=50K
+22, Private, 234663, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+53, Private, 283602, Bachelors, 13, Divorced, Sales, Not-in-family, White, Female, 13550, 0, 43, United-States, >50K
+46, Private, 328669, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 42, United-States, <=50K
+51, Private, 143741, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, >50K
+44, Private, 83508, Prof-school, 15, Divorced, Prof-specialty, Not-in-family, White, Female, 2354, 0, 99, United-States, <=50K
+56, State-gov, 81954, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+27, Private, 261375, Bachelors, 13, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+52, Private, 310045, 9th, 5, Married-spouse-absent, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 30, China, <=50K
+39, Private, 316211, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+45, Federal-gov, 88564, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 40, United-States, >50K
+37, Private, 61299, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+33, Private, 113364, HS-grad, 9, Divorced, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+35, ?, 476573, HS-grad, 9, Never-married, ?, Not-in-family, White, Female, 0, 0, 4, United-States, <=50K
+46, Private, 267107, 5th-6th, 3, Married-civ-spouse, Craft-repair, Wife, White, Female, 0, 0, 45, Italy, <=50K
+35, Private, 48123, 12th, 8, Married-civ-spouse, Craft-repair, Wife, White, Female, 0, 0, 50, United-States, <=50K
+33, Private, 214635, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 50, United-States, <=50K
+48, Private, 115585, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 194141, HS-grad, 9, Divorced, Machine-op-inspct, Own-child, White, Male, 0, 0, 50, United-States, <=50K
+18, ?, 23233, 10th, 6, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 89991, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 32, United-States, <=50K
+35, Private, 101709, HS-grad, 9, Never-married, Transport-moving, Own-child, Asian-Pac-Islander, Male, 0, 0, 60, United-States, <=50K
+19, Private, 237455, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+21, Private, 206492, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 40, ?, <=50K
+56, Private, 28729, 11th, 7, Separated, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+28, Private, 153475, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 16, El-Salvador, <=50K
+45, Private, 275517, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+32, Private, 128002, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 45, United-States, <=50K
+44, Private, 175485, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 12, United-States, <=50K
+55, Private, 189664, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+34, Private, 209808, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+33, Private, 176992, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+36, Private, 154669, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 55, United-States, <=50K
+25, Private, 191271, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+28, Private, 375482, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+39, Private, 102953, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 7298, 0, 55, United-States, >50K
+53, Private, 169182, 10th, 6, Married-spouse-absent, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, Columbia, <=50K
+47, Private, 184005, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, Amer-Indian-Eskimo, Female, 3325, 0, 45, United-States, <=50K
+49, Self-emp-inc, 30751, Assoc-voc, 11, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+22, Private, 145477, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K
+31, Private, 91964, Some-college, 10, Never-married, Adm-clerical, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+44, Self-emp-inc, 49249, Some-college, 10, Divorced, Other-service, Unmarried, White, Male, 0, 0, 80, United-States, <=50K
+19, Private, 218956, HS-grad, 9, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+37, Self-emp-not-inc, 241306, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+60, ?, 251572, HS-grad, 9, Widowed, ?, Not-in-family, White, Male, 0, 0, 35, Poland, <=50K
+23, Private, 319842, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 25, United-States, <=50K
+44, Private, 332401, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 65, United-States, >50K
+54, Local-gov, 182388, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 35, United-States, <=50K
+23, Private, 205939, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 38, United-States, <=50K
+21, Private, 203914, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 10, United-States, <=50K
+19, State-gov, 156294, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 25, United-States, <=50K
+51, Private, 254211, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 20, United-States, >50K
+41, Private, 151504, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 50, United-States, >50K
+61, Private, 85548, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 15024, 0, 18, United-States, >50K
+19, Self-emp-not-inc, 30800, 10th, 6, Married-spouse-absent, Adm-clerical, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K
+22, Private, 131230, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 61850, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+49, Private, 227800, 7th-8th, 4, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 32, United-States, <=50K
+35, Private, 133454, 10th, 6, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+38, Private, 104094, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 105422, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+56, Private, 142182, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K
+41, Private, 336643, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 80, United-States, <=50K
+62, Self-emp-inc, 200577, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K
+27, Private, 208703, HS-grad, 9, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 40, Japan, <=50K
+55, ?, 193895, HS-grad, 9, Divorced, ?, Not-in-family, White, Female, 0, 0, 40, England, <=50K
+25, Private, 272428, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 4416, 0, 42, United-States, <=50K
+33, Private, 56701, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 75, United-States, >50K
+26, Private, 288592, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+43, Private, 266439, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+53, Federal-gov, 276868, Masters, 14, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+43, Private, 131435, Bachelors, 13, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+56, Private, 175127, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 35, United-States, <=50K
+25, Private, 277444, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K
+60, Private, 63296, Masters, 14, Divorced, Prof-specialty, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K
+28, Private, 96337, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+21, Private, 221955, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, Mexico, <=50K
+40, Private, 197923, Bachelors, 13, Never-married, Adm-clerical, Unmarried, Black, Female, 2977, 0, 40, United-States, <=50K
+29, Private, 632593, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+20, Private, 205970, Some-college, 10, Never-married, Craft-repair, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+25, Private, 139730, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 80, United-States, >50K
+18, Private, 201901, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 10, United-States, <=50K
+32, State-gov, 230224, Assoc-acdm, 12, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 35, United-States, <=50K
+27, Private, 113464, 1st-4th, 2, Never-married, Other-service, Own-child, Other, Male, 0, 0, 35, Dominican-Republic, <=50K
+48, Private, 94461, HS-grad, 9, Widowed, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 16, United-States, <=50K
+20, Private, 271379, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+55, Private, 231738, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, England, <=50K
+33, Local-gov, 198183, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, >50K
+21, State-gov, 140764, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 12, United-States, <=50K
+43, Self-emp-not-inc, 183479, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 30, United-States, <=50K
+35, Private, 165767, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+39, Local-gov, 139364, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, >50K
+19, Private, 227491, HS-grad, 9, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K
+25, Private, 222254, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+44, Private, 193494, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 72, United-States, >50K
+27, Private, 29261, Assoc-acdm, 12, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+39, Private, 174368, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K
+69, Private, 108196, 10th, 6, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 110622, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K
+20, ?, 201680, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+37, Private, 130277, 5th-6th, 3, Separated, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+43, Local-gov, 98130, Bachelors, 13, Divorced, Prof-specialty, Own-child, White, Female, 0, 0, 39, United-States, <=50K
+62, ?, 235521, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 48, United-States, <=50K
+34, State-gov, 595000, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, Black, Female, 0, 0, 40, United-States, >50K
+31, Self-emp-not-inc, 349148, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, <=50K
+42, State-gov, 117583, Doctorate, 16, Divorced, Prof-specialty, Not-in-family, White, Female, 8614, 0, 60, United-States, >50K
+26, Private, 164583, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 30, United-States, <=50K
+39, Private, 340091, Some-college, 10, Separated, Other-service, Unmarried, White, Female, 0, 0, 75, United-States, <=50K
+25, Private, 49092, Bachelors, 13, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+54, Local-gov, 186884, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 30, United-States, <=50K
+44, State-gov, 167265, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K
+34, State-gov, 34104, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 38, United-States, >50K
+21, Self-emp-inc, 265116, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+50, Private, 128378, 5th-6th, 3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 55, ?, <=50K
+33, Private, 158416, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+40, Self-emp-inc, 169878, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K
+44, Private, 296728, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+33, Local-gov, 342458, Assoc-acdm, 12, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 56, United-States, <=50K
+21, Local-gov, 38771, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+35, Self-emp-not-inc, 269300, Bachelors, 13, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 60, United-States, <=50K
+43, Private, 111483, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 7298, 0, 40, United-States, >50K
+57, ?, 199114, 10th, 6, Separated, ?, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+51, Local-gov, 33863, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K
+29, Private, 132874, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+51, Local-gov, 277024, HS-grad, 9, Separated, Protective-serv, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+35, Private, 112160, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+18, Private, 703067, 11th, 7, Never-married, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+58, Private, 127264, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+57, Self-emp-inc, 257200, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+19, Private, 57206, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+37, Private, 201319, Some-college, 10, Separated, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+38, Private, 114079, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 44, United-States, <=50K
+45, Private, 230979, Some-college, 10, Married-spouse-absent, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+27, Private, 292472, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Cambodia, >50K
+64, ?, 286732, 7th-8th, 4, Widowed, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+38, Local-gov, 134444, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 72, United-States, <=50K
+30, Private, 172403, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+46, Private, 191357, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K
+18, ?, 279288, 10th, 6, Never-married, ?, Other-relative, White, Female, 0, 0, 30, United-States, <=50K
+60, Private, 389254, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+30, Private, 303867, HS-grad, 9, Separated, Transport-moving, Not-in-family, White, Male, 0, 0, 44, United-States, <=50K
+47, Private, 164113, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Black, Male, 7688, 0, 40, United-States, >50K
+39, Private, 111499, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+42, Private, 266084, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 45, United-States, >50K
+27, Private, 61580, Some-college, 10, Divorced, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+44, Private, 231348, Some-college, 10, Divorced, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 164748, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+54, Private, 205337, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, >50K
+58, Self-emp-not-inc, 54566, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 35, United-States, <=50K
+45, Private, 34419, Bachelors, 13, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+59, Private, 116442, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, <=50K
+29, Private, 290740, Assoc-acdm, 12, Never-married, Priv-house-serv, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+27, Private, 255582, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+44, Private, 112517, Masters, 14, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 20, United-States, >50K
+44, Private, 169397, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+33, Private, 172664, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 70, United-States, >50K
+27, Private, 329005, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 123253, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K
+55, Private, 81865, Assoc-voc, 11, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+32, Self-emp-not-inc, 173314, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, Other, Male, 0, 0, 60, United-States, <=50K
+31, Private, 34572, Assoc-voc, 11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 45, United-States, <=50K
+57, Self-emp-inc, 159028, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 60, United-States, >50K
+30, Private, 149184, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+78, ?, 363134, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 1, United-States, <=50K
+28, Private, 308709, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K
+30, Self-emp-not-inc, 257295, Some-college, 10, Never-married, Sales, Other-relative, Asian-Pac-Islander, Male, 0, 2258, 40, South, <=50K
+29, Private, 168479, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+66, Private, 142501, HS-grad, 9, Never-married, Other-service, Other-relative, Black, Female, 0, 0, 3, United-States, <=50K
+60, Private, 338345, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K
+31, Private, 177675, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 262617, HS-grad, 9, Never-married, Craft-repair, Other-relative, White, Male, 2597, 0, 40, United-States, <=50K
+24, Private, 200997, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 45, United-States, <=50K
+29, Private, 176683, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, >50K
+44, Private, 376072, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 45, United-States, >50K
+34, Local-gov, 177675, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K
+59, Private, 348430, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 43, United-States, >50K
+23, Private, 320451, Bachelors, 13, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Male, 0, 0, 24, United-States, <=50K
+23, Private, 38151, 11th, 7, Never-married, Other-service, Other-relative, White, Male, 0, 0, 40, Philippines, <=50K
+55, Local-gov, 123382, Assoc-voc, 11, Separated, Prof-specialty, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K
+39, Self-emp-inc, 151029, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+39, Private, 484475, 11th, 7, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+57, Private, 329792, 7th-8th, 4, Divorced, Transport-moving, Unmarried, White, Male, 0, 0, 75, United-States, <=50K
+35, Private, 148903, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+39, Local-gov, 301614, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 48, United-States, >50K
+47, Private, 176319, HS-grad, 9, Married-civ-spouse, Sales, Own-child, White, Female, 0, 0, 38, United-States, >50K
+53, State-gov, 53197, Doctorate, 16, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, >50K
+23, Private, 291407, Some-college, 10, Never-married, Sales, Own-child, Black, Male, 0, 0, 25, United-States, <=50K
+35, Private, 204527, Masters, 14, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, >50K
+44, Private, 476391, Some-college, 10, Divorced, Farming-fishing, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+28, Private, 224964, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+26, Private, 306225, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, Poland, <=50K
+23, Private, 292023, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+32, Private, 94041, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 25, Ireland, <=50K
+49, Self-emp-inc, 187563, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K
+36, Private, 176101, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 2174, 0, 60, United-States, <=50K
+36, Private, 749105, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 36, United-States, <=50K
+41, ?, 230020, 5th-6th, 3, Married-civ-spouse, ?, Husband, Other, Male, 0, 0, 40, United-States, <=50K
+21, Private, 216070, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Wife, Amer-Indian-Eskimo, Female, 0, 0, 46, United-States, >50K
+54, Self-emp-not-inc, 105010, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+43, Private, 198203, Some-college, 10, Married-spouse-absent, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+35, Local-gov, 215419, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+31, Private, 120460, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, >50K
+46, Private, 199316, Some-college, 10, Married-civ-spouse, Craft-repair, Other-relative, Asian-Pac-Islander, Male, 0, 0, 40, India, <=50K
+46, Private, 146919, HS-grad, 9, Separated, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+56, Private, 174744, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+45, ?, 189564, Masters, 14, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 1, United-States, <=50K
+21, Private, 249957, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+51, Private, 146574, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+47, State-gov, 156417, Some-college, 10, Divorced, Prof-specialty, Unmarried, White, Male, 0, 0, 20, United-States, <=50K
+42, Private, 236110, 5th-6th, 3, Married-spouse-absent, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Puerto-Rico, <=50K
+19, Private, 63363, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+25, Private, 190107, Bachelors, 13, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 126569, Masters, 14, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 60, United-States, >50K
+35, Private, 176756, 12th, 8, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+40, Private, 115161, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 30, United-States, <=50K
+57, Self-emp-not-inc, 138892, 11th, 7, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 15, United-States, <=50K
+38, Private, 256864, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 50, United-States, >50K
+48, Private, 265083, 10th, 6, Divorced, Sales, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K
+34, Private, 249948, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 34, United-States, <=50K
+46, Federal-gov, 31141, Some-college, 10, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 164190, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 38, ?, <=50K
+45, State-gov, 67544, Masters, 14, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+32, Self-emp-not-inc, 174789, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+35, Private, 199753, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 48, United-States, <=50K
+62, Private, 122246, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Female, 8614, 0, 39, United-States, >50K
+56, ?, 188166, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+50, Private, 96586, Assoc-voc, 11, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 189590, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+41, Private, 140590, Some-college, 10, Never-married, Sales, Not-in-family, Black, Male, 0, 0, 33, United-States, <=50K
+35, Private, 255702, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 27, United-States, <=50K
+33, Private, 260782, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 41, United-States, >50K
+38, Private, 169926, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 1902, 40, United-States, >50K
+37, State-gov, 151322, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+56, Private, 192869, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K
+19, Private, 93604, 7th-8th, 4, Never-married, Craft-repair, Own-child, White, Male, 0, 1602, 32, United-States, <=50K
+31, Private, 86958, 9th, 5, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K
+53, Local-gov, 228723, HS-grad, 9, Divorced, Craft-repair, Not-in-family, Other, Male, 0, 0, 40, ?, >50K
+33, Private, 192644, HS-grad, 9, Separated, Handlers-cleaners, Unmarried, White, Male, 0, 0, 35, Puerto-Rico, <=50K
+72, Private, 284080, 1st-4th, 2, Divorced, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+54, Private, 43269, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K
+30, Private, 190040, Bachelors, 13, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+51, Private, 306108, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+30, Private, 220148, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1848, 50, United-States, >50K
+30, Private, 381645, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+32, Private, 216361, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 16, United-States, <=50K
+30, Private, 213722, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, >50K
+35, Private, 112271, Masters, 14, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 208277, Some-college, 10, Divorced, Adm-clerical, Own-child, White, Female, 0, 0, 44, United-States, >50K
+38, State-gov, 352628, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+19, Private, 129620, 10th, 6, Never-married, Other-service, Other-relative, White, Female, 0, 0, 30, United-States, <=50K
+32, Private, 249550, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 44, United-States, <=50K
+49, Private, 178749, Masters, 14, Married-spouse-absent, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+76, ?, 173542, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 10, United-States, <=50K
+60, Private, 167670, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, <=50K
+60, Private, 81578, 9th, 5, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+55, Private, 160662, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 80, United-States, >50K
+41, Private, 163322, Bachelors, 13, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 30, ?, <=50K
+24, Private, 152189, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+53, Private, 106176, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 7298, 0, 60, United-States, >50K
+69, State-gov, 159191, Some-college, 10, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 810, 38, United-States, <=50K
+71, ?, 250263, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 3432, 0, 30, United-States, <=50K
+41, Private, 78410, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K
+32, Private, 131379, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+45, Private, 166929, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+59, Private, 380357, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 79190, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+40, Private, 342164, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 37, United-States, <=50K
+44, Private, 182616, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K
+63, Private, 339473, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K
+31, Local-gov, 381153, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 15024, 0, 56, United-States, >50K
+51, Private, 300816, Bachelors, 13, Never-married, Adm-clerical, Unmarried, White, Male, 0, 0, 20, United-States, <=50K
+51, Private, 240988, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K
+23, Private, 149224, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+49, Private, 168216, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, <=50K
+56, Private, 286487, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 2885, 0, 45, United-States, <=50K
+39, Private, 305597, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+39, Self-emp-not-inc, 109766, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 50, United-States, >50K
+30, Self-emp-not-inc, 188798, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+43, Self-emp-not-inc, 240170, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, Germany, <=50K
+31, Private, 459465, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+44, Local-gov, 162506, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, <=50K
+43, Self-emp-not-inc, 145441, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 30, United-States, >50K
+37, Federal-gov, 129573, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 72, ?, >50K
+41, Private, 27444, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 46, United-States, >50K
+43, Private, 195258, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+47, State-gov, 55272, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+38, Self-emp-not-inc, 164526, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 2824, 45, United-States, >50K
+46, Private, 27802, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+19, State-gov, 165289, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+19, Private, 274657, 5th-6th, 3, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 50, Guatemala, <=50K
+24, Private, 317175, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K
+39, Self-emp-inc, 163237, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 65, United-States, <=50K
+37, Private, 170408, Assoc-voc, 11, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+28, ?, 55950, Bachelors, 13, Never-married, ?, Own-child, Black, Female, 0, 0, 40, Germany, <=50K
+40, Private, 76625, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 366066, Assoc-acdm, 12, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+22, Private, 349368, HS-grad, 9, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+21, Private, 286824, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 12, United-States, <=50K
+32, Private, 373263, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K
+20, Private, 161978, HS-grad, 9, Separated, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+45, Private, 543922, Masters, 14, Divorced, Transport-moving, Not-in-family, White, Male, 14344, 0, 48, United-States, >50K
+46, Local-gov, 109089, Prof-school, 15, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K
+46, Private, 110151, Assoc-voc, 11, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 45, United-States, <=50K
+26, Private, 34110, Some-college, 10, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 44, United-States, <=50K
+47, Self-emp-not-inc, 118506, Bachelors, 13, Married-civ-spouse, Exec-managerial, Own-child, White, Male, 0, 0, 60, United-States, <=50K
+22, Private, 117789, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 10, United-States, <=50K
+34, Self-emp-not-inc, 353881, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K
+49, Private, 200471, 1st-4th, 2, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Portugal, <=50K
+20, Private, 258517, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 25, United-States, <=50K
+28, Private, 190367, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, <=50K
+30, Private, 174704, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+23, Private, 179413, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 329530, 9th, 5, Never-married, Priv-house-serv, Own-child, White, Male, 0, 0, 40, Mexico, <=50K
+31, Private, 273818, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 55, Mexico, <=50K
+46, Private, 256522, 1st-4th, 2, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, Puerto-Rico, <=50K
+42, Private, 196001, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+60, Self-emp-not-inc, 282660, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 72630, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+27, Private, 50295, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 48, United-States, <=50K
+20, Private, 203240, 9th, 5, Never-married, Sales, Own-child, White, Female, 0, 0, 32, United-States, <=50K
+56, Self-emp-not-inc, 172618, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 40, United-States, >50K
+41, Private, 202168, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K
+61, Private, 176839, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+47, Private, 176140, HS-grad, 9, Divorced, Exec-managerial, Unmarried, Black, Female, 0, 0, 40, United-States, >50K
+60, Private, 39952, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 2228, 0, 37, United-States, <=50K
+33, Private, 292465, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, <=50K
+40, ?, 161285, Some-college, 10, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 25, United-States, <=50K
+48, Private, 355320, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, Canada, >50K
+56, Private, 182460, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K
+50, Private, 69345, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Husband, White, Male, 3103, 0, 55, United-States, >50K
+57, Self-emp-not-inc, 102058, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+20, Private, 165804, Some-college, 10, Never-married, Adm-clerical, Own-child, Other, Female, 0, 0, 40, United-States, <=50K
+46, Private, 318259, Assoc-voc, 11, Divorced, Tech-support, Other-relative, White, Female, 0, 0, 36, United-States, <=50K
+21, Private, 117606, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+37, Private, 170718, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+42, Private, 413297, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 190457, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+54, Private, 88278, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 50, United-States, >50K
+32, Local-gov, 217296, HS-grad, 9, Married-civ-spouse, Transport-moving, Wife, White, Female, 4064, 0, 22, United-States, <=50K
+62, ?, 97231, Some-college, 10, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 1, United-States, <=50K
+50, Private, 123429, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+49, Federal-gov, 420282, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+48, Private, 498325, Assoc-acdm, 12, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K
+24, Private, 248533, Some-college, 10, Never-married, Sales, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K
+46, Private, 137354, Masters, 14, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, >50K
+42, Private, 272910, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+52, Self-emp-inc, 206054, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+58, Local-gov, 92141, Assoc-acdm, 12, Widowed, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+37, Private, 163199, Some-college, 10, Divorced, Tech-support, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K
+34, Private, 195860, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 115717, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 2051, 40, United-States, <=50K
+18, Private, 120029, Some-college, 10, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 20, United-States, <=50K
+33, Private, 221762, Some-college, 10, Never-married, Prof-specialty, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+41, Private, 342164, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K
+21, Private, 176356, Assoc-acdm, 12, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+23, Private, 133239, Assoc-voc, 11, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+26, Federal-gov, 169101, Some-college, 10, Never-married, Tech-support, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+33, Private, 159442, Bachelors, 13, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K
+24, Private, 174461, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 45, United-States, <=50K
+43, Private, 361280, 10th, 6, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 42, China, <=50K
+52, State-gov, 447579, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, England, <=50K
+27, ?, 308995, Some-college, 10, Divorced, ?, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+61, Private, 248448, 7th-8th, 4, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+35, Private, 161141, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 212465, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+45, Self-emp-inc, 170871, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 55, United-States, >50K
+43, Local-gov, 233865, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+51, Private, 163052, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K
+35, Private, 348690, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+47, Federal-gov, 34845, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, Germany, >50K
+22, Private, 206861, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+49, Self-emp-inc, 349230, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K
+20, Private, 130840, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+19, Private, 415354, 10th, 6, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+27, Private, 132191, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+42, Private, 202466, Assoc-acdm, 12, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 45, United-States, <=50K
+27, ?, 224421, Some-college, 10, Divorced, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+23, Self-emp-not-inc, 236804, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+20, Private, 107658, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 10, United-States, <=50K
+47, Private, 102771, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K
+17, Private, 221403, 12th, 8, Never-married, Other-service, Own-child, Black, Male, 0, 0, 18, United-States, <=50K
+76, ?, 211574, 10th, 6, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 1, United-States, <=50K
+39, Private, 52645, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+25, Private, 276310, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+31, Private, 134613, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Wife, Black, Female, 0, 0, 43, United-States, <=50K
+44, Private, 215479, HS-grad, 9, Divorced, Transport-moving, Not-in-family, Black, Male, 0, 0, 20, Haiti, <=50K
+53, Private, 266529, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+34, Private, 265807, Some-college, 10, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+45, Self-emp-not-inc, 67716, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K
+34, Private, 178951, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K
+35, Private, 241126, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+36, Private, 176544, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K
+45, Private, 169180, Some-college, 10, Widowed, Other-service, Unmarried, White, Female, 0, 0, 45, United-States, <=50K
+37, Self-emp-not-inc, 282461, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K
+53, Private, 157069, Assoc-acdm, 12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K
+35, Private, 99357, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 15024, 0, 50, United-States, >50K
+38, Self-emp-not-inc, 414991, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 70, ?, <=50K
+65, Self-emp-inc, 338316, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+49, Self-emp-not-inc, 59612, 10th, 6, Divorced, Farming-fishing, Unmarried, White, Male, 0, 0, 70, United-States, <=50K
+24, Private, 220426, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+54, Private, 115912, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+17, Private, 27032, 10th, 6, Never-married, Sales, Own-child, White, Female, 0, 0, 12, United-States, <=50K
+19, Private, 170720, 12th, 8, Never-married, Other-service, Own-child, White, Male, 0, 0, 16, United-States, <=50K
+60, Private, 183162, HS-grad, 9, Widowed, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+46, Private, 192360, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 35, United-States, >50K
+78, ?, 165694, Masters, 14, Widowed, ?, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K
+26, Private, 128553, Some-college, 10, Never-married, Exec-managerial, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+58, Private, 209423, 1st-4th, 2, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 38, Cuba, <=50K
+37, Self-emp-not-inc, 121510, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 55, United-States, <=50K
+41, Private, 93793, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 38, United-States, >50K
+30, Private, 133602, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+19, Private, 391329, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+48, Private, 96359, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, Greece, >50K
+22, Private, 203894, Some-college, 10, Never-married, Transport-moving, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K
+50, Private, 196193, Masters, 14, Married-spouse-absent, Prof-specialty, Other-relative, White, Male, 0, 0, 60, ?, <=50K
+25, Private, 195994, 1st-4th, 2, Never-married, Priv-house-serv, Not-in-family, White, Female, 0, 0, 40, Guatemala, <=50K
+18, Private, 50879, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 6, United-States, <=50K
+21, Private, 186849, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+47, Private, 201127, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K
+33, Private, 110998, HS-grad, 9, Never-married, Other-service, Other-relative, Amer-Indian-Eskimo, Female, 0, 0, 36, United-States, <=50K
+39, Private, 190466, HS-grad, 9, Divorced, Craft-repair, Own-child, White, Male, 2174, 0, 40, United-States, <=50K
+67, Self-emp-not-inc, 173935, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 8, United-States, >50K
+19, Private, 167140, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 1602, 24, United-States, <=50K
+18, Private, 110230, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 11, United-States, <=50K
+36, Private, 287658, HS-grad, 9, Never-married, Adm-clerical, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+23, Private, 224954, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 25, United-States, <=50K
+25, ?, 394820, Some-college, 10, Separated, ?, Unmarried, White, Female, 0, 0, 20, United-States, <=50K
+40, Private, 37618, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, ?, <=50K
+73, Self-emp-not-inc, 29306, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 37314, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 5013, 0, 40, United-States, <=50K
+31, Private, 420749, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+20, Private, 482732, 10th, 6, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 206215, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+27, Private, 101364, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+66, Self-emp-inc, 185369, 10th, 6, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 30, United-States, <=50K
+66, Private, 216856, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K
+64, Private, 256019, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+48, Private, 348144, Some-college, 10, Divorced, Transport-moving, Not-in-family, White, Male, 3325, 0, 53, United-States, <=50K
+24, Private, 190293, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+51, Self-emp-not-inc, 25932, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K
+25, Private, 176729, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, >50K
+33, Private, 166961, 11th, 7, Separated, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+50, Private, 86373, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, <=50K
+51, Private, 320513, 7th-8th, 4, Married-spouse-absent, Craft-repair, Not-in-family, Black, Male, 0, 0, 50, Dominican-Republic, <=50K
+34, State-gov, 190290, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 38, United-States, >50K
+41, Local-gov, 111891, 7th-8th, 4, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+30, Self-emp-not-inc, 45796, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+59, Private, 108496, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 2907, 0, 40, United-States, <=50K
+41, Self-emp-not-inc, 120539, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 3103, 0, 40, United-States, >50K
+36, Self-emp-not-inc, 164526, Masters, 14, Never-married, Sales, Not-in-family, White, Male, 10520, 0, 45, United-States, >50K
+37, Private, 323155, 1st-4th, 2, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 85, Mexico, <=50K
+28, Private, 65389, HS-grad, 9, Never-married, Other-service, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 30, United-States, <=50K
+19, Private, 414871, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 161607, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K
+62, Private, 224953, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+36, Private, 261382, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 45, United-States, >50K
+58, Self-emp-not-inc, 231818, 10th, 6, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Greece, <=50K
+42, Self-emp-inc, 184018, HS-grad, 9, Divorced, Sales, Unmarried, White, Male, 1151, 0, 50, United-States, <=50K
+43, Self-emp-inc, 133060, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 35032, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+32, State-gov, 304212, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+64, Local-gov, 50442, 9th, 5, Never-married, Adm-clerical, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+39, Private, 146091, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 20, United-States, >50K
+26, Private, 267431, Bachelors, 13, Never-married, Sales, Own-child, Black, Female, 0, 0, 20, United-States, <=50K
+19, Private, 121240, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+21, Private, 192572, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 45, United-States, <=50K
+32, Private, 211028, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+30, Local-gov, 346122, Assoc-acdm, 12, Married-civ-spouse, Protective-serv, Husband, White, Male, 5013, 0, 45, United-States, <=50K
+26, Private, 202203, Bachelors, 13, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 50, United-States, <=50K
+20, Private, 159297, Some-college, 10, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female, 0, 0, 15, United-States, <=50K
+19, Private, 310158, Some-college, 10, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+33, Federal-gov, 193246, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 42, United-States, >50K
+23, Private, 200089, Some-college, 10, Married-civ-spouse, Craft-repair, Other-relative, White, Male, 0, 0, 40, El-Salvador, <=50K
+29, Private, 38353, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+42, Private, 76280, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K
+30, Self-emp-not-inc, 243665, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K
+63, Private, 68872, HS-grad, 9, Married-civ-spouse, Transport-moving, Wife, Asian-Pac-Islander, Female, 0, 0, 20, United-States, <=50K
+34, Private, 103596, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+60, Self-emp-not-inc, 88055, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 24, United-States, <=50K
+48, Private, 186203, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 50, United-States, <=50K
+25, Private, 257910, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+27, Private, 200227, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 40, United-States, <=50K
+55, Self-emp-not-inc, 124975, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 27828, 0, 55, United-States, >50K
+32, Private, 227669, Some-college, 10, Never-married, Machine-op-inspct, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+22, Private, 117210, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 25, Greece, <=50K
+25, Private, 76144, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+18, Private, 98667, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 16, United-States, <=50K
+24, Local-gov, 155818, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 44, United-States, <=50K
+29, Private, 283760, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+73, ?, 281907, 11th, 7, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 3, United-States, <=50K
+39, Private, 186183, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+33, Self-emp-inc, 202153, Masters, 14, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+57, Private, 365683, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, >50K
+22, Private, 187538, 10th, 6, Separated, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+33, ?, 209432, HS-grad, 9, Separated, ?, Unmarried, White, Female, 0, 0, 20, United-States, <=50K
+33, Private, 126950, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K
+42, Private, 110028, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+43, Private, 104660, Bachelors, 13, Separated, Prof-specialty, Unmarried, White, Male, 0, 0, 45, United-States, <=50K
+57, Self-emp-not-inc, 437281, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 38, United-States, >50K
+42, Private, 259643, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Male, 4650, 0, 40, United-States, <=50K
+22, Private, 217961, Some-college, 10, Never-married, Transport-moving, Own-child, White, Male, 0, 1719, 30, United-States, <=50K
+21, ?, 134746, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+42, Self-emp-not-inc, 120539, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+39, Private, 25803, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K
+41, Private, 63596, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 32, United-States, >50K
+20, Local-gov, 325493, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+47, Private, 211239, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+44, Private, 206686, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+29, Private, 427965, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+52, Private, 218550, Some-college, 10, Married-spouse-absent, Adm-clerical, Not-in-family, White, Female, 14084, 0, 16, United-States, >50K
+71, Private, 163385, Some-college, 10, Widowed, Sales, Not-in-family, White, Male, 0, 0, 35, United-States, >50K
+52, Private, 124993, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 55, United-States, <=50K
+36, Private, 107410, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+53, Private, 152373, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 48, United-States, >50K
+37, Private, 161226, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 30, United-States, >50K
+26, Private, 213799, 10th, 6, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 204461, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K
+35, Private, 377798, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, >50K
+20, Private, 116375, 9th, 5, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+34, Local-gov, 210164, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1740, 40, United-States, <=50K
+56, Self-emp-not-inc, 258752, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K
+39, Private, 327435, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 36, United-States, >50K
+24, Private, 301199, Some-college, 10, Never-married, Tech-support, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+24, Private, 186221, 11th, 7, Divorced, Sales, Unmarried, White, Female, 0, 0, 35, United-States, <=50K
+23, Private, 203924, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+27, Private, 192236, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+25, Private, 152035, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+29, Private, 201454, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+42, Private, 156580, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 37, United-States, >50K
+51, Private, 115851, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 106753, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1740, 40, United-States, <=50K
+59, Private, 359292, 1st-4th, 2, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+29, Private, 83003, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K
+18, Private, 78817, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+24, Private, 200967, HS-grad, 9, Married-civ-spouse, Craft-repair, Wife, White, Female, 0, 0, 36, United-States, <=50K
+38, State-gov, 107164, Some-college, 10, Separated, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 189674, HS-grad, 9, Never-married, Priv-house-serv, Unmarried, Black, Female, 0, 0, 28, ?, <=50K
+34, Self-emp-not-inc, 90614, HS-grad, 9, Separated, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+42, Self-emp-not-inc, 323790, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 70, United-States, >50K
+45, Self-emp-not-inc, 242552, 12th, 8, Divorced, Craft-repair, Other-relative, Black, Male, 0, 0, 35, United-States, <=50K
+21, Private, 90935, Assoc-voc, 11, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+64, Self-emp-inc, 165667, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 60, Canada, >50K
+32, Private, 162604, HS-grad, 9, Never-married, Machine-op-inspct, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K
+45, Private, 205424, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+53, Private, 97411, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Laos, <=50K
+42, Private, 184857, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 16, United-States, <=50K
+32, Private, 165226, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+49, Private, 115784, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+62, Private, 368476, 5th-6th, 3, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 24, Mexico, <=50K
+28, Private, 53063, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K
+29, ?, 134566, Doctorate, 16, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 50, United-States, >50K
+32, Private, 153471, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+37, Self-emp-inc, 107164, 10th, 6, Never-married, Transport-moving, Not-in-family, White, Male, 0, 2559, 50, United-States, >50K
+38, Private, 180303, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 50, Japan, >50K
+44, Local-gov, 236321, HS-grad, 9, Divorced, Transport-moving, Own-child, White, Male, 0, 0, 25, United-States, <=50K
+19, Private, 141868, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+22, ?, 367655, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 203518, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+58, Private, 119558, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+56, Private, 108276, Bachelors, 13, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+37, Private, 385452, 10th, 6, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+43, Private, 162003, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 349028, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 45114, Bachelors, 13, Never-married, Sales, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+44, Private, 112797, 9th, 5, Divorced, Other-service, Own-child, White, Female, 0, 0, 50, United-States, <=50K
+28, Private, 183639, HS-grad, 9, Never-married, Handlers-cleaners, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 177121, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+38, Private, 239755, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 150361, Some-college, 10, Never-married, Tech-support, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+20, Private, 293091, 11th, 7, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 60, United-States, <=50K
+24, Private, 200089, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, Mexico, >50K
+40, Private, 91836, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+23, Private, 324960, HS-grad, 9, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+79, Local-gov, 84616, 11th, 7, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 7, United-States, <=50K
+44, Private, 252930, 10th, 6, Divorced, Adm-clerical, Unmarried, Other, Female, 0, 0, 42, United-States, <=50K
+51, Private, 44000, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 99999, 0, 50, United-States, >50K
+30, Private, 154843, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+52, Private, 99307, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 3103, 0, 48, United-States, >50K
+41, Private, 182567, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, ?, >50K
+33, Private, 93206, 5th-6th, 3, Married-civ-spouse, Farming-fishing, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K
+50, Private, 100109, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 45, United-States, >50K
+51, Private, 114927, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 7298, 0, 40, United-States, >50K
+41, Private, 121287, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 189916, Bachelors, 13, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 30, United-States, >50K
+34, Private, 157747, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 40, United-States, >50K
+28, Private, 39232, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+31, Self-emp-inc, 133861, Assoc-voc, 11, Divorced, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 505980, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+67, ?, 183374, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 2329, 0, 15, United-States, <=50K
+65, Private, 193216, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 9386, 0, 40, United-States, >50K
+39, Self-emp-not-inc, 140752, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+23, Private, 549349, Some-college, 10, Never-married, Tech-support, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+29, Self-emp-not-inc, 179008, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K
+57, Self-emp-not-inc, 190554, 10th, 6, Divorced, Exec-managerial, Own-child, White, Male, 0, 0, 60, United-States, >50K
+47, Private, 80924, Some-college, 10, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+51, Local-gov, 319054, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 60, United-States, <=50K
+34, Private, 297094, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+52, Private, 170562, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K
+29, Private, 240738, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+29, Private, 297544, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+25, Local-gov, 169905, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 149637, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+38, Private, 182526, Bachelors, 13, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+55, Self-emp-not-inc, 158315, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+61, Self-emp-inc, 227232, Bachelors, 13, Separated, Sales, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+34, Private, 96483, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female, 8614, 0, 60, United-States, >50K
+41, Private, 286970, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+27, Local-gov, 223529, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 43, United-States, <=50K
+78, Self-emp-not-inc, 316261, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 99999, 0, 20, United-States, >50K
+40, Private, 170214, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K
+26, Self-emp-not-inc, 224361, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 75, United-States, <=50K
+43, Private, 124919, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 60, Japan, <=50K
+55, ?, 103654, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+25, Private, 306352, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+26, Self-emp-not-inc, 227858, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K
+43, Self-emp-inc, 150533, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 68, United-States, >50K
+25, Private, 144478, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, Poland, <=50K
+22, Private, 254547, Some-college, 10, Never-married, Adm-clerical, Other-relative, Black, Female, 0, 0, 30, Jamaica, <=50K
+52, Self-emp-not-inc, 313243, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, >50K
+61, Private, 149981, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 2414, 0, 5, United-States, <=50K
+42, Private, 125461, Bachelors, 13, Never-married, Sales, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 306967, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+44, Private, 192976, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K
+65, Private, 192133, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 2290, 0, 40, Greece, <=50K
+56, ?, 131608, HS-grad, 9, Divorced, ?, Not-in-family, White, Male, 0, 0, 10, United-States, <=50K
+33, Federal-gov, 339388, Assoc-acdm, 12, Divorced, Other-service, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 203240, 10th, 6, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+43, Private, 83827, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K
+45, Self-emp-inc, 160440, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K
+42, Private, 108502, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 42, United-States, <=50K
+37, Private, 410913, HS-grad, 9, Married-spouse-absent, Farming-fishing, Unmarried, Other, Male, 0, 0, 40, Mexico, <=50K
+56, Private, 193818, 9th, 5, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+35, ?, 163582, 10th, 6, Divorced, ?, Unmarried, White, Female, 0, 0, 16, ?, <=50K
+40, Private, 103789, Assoc-acdm, 12, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 32, United-States, <=50K
+31, Private, 34572, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K
+26, Private, 43408, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+26, State-gov, 105787, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+42, Self-emp-inc, 90693, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 70, United-States, <=50K
+45, Self-emp-not-inc, 285575, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 40, China, <=50K
+47, Local-gov, 56482, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 7688, 0, 50, United-States, >50K
+22, Private, 496025, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+33, Private, 382764, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 259284, HS-grad, 9, Never-married, Transport-moving, Not-in-family, Black, Male, 0, 0, 50, United-States, <=50K
+48, Self-emp-not-inc, 185385, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 98, United-States, <=50K
+57, Self-emp-not-inc, 286836, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 8, United-States, <=50K
+47, Private, 139145, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K
+58, Local-gov, 44246, 9th, 5, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+55, Private, 169611, 11th, 7, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+52, Private, 133403, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K
+29, Private, 187327, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+42, Private, 180032, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+23, Private, 46561, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+23, Private, 86065, 12th, 8, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+46, Self-emp-not-inc, 256014, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K
+30, Private, 188403, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+43, Self-emp-not-inc, 396758, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1887, 70, United-States, >50K
+25, Private, 60485, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+32, Private, 271276, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 80, United-States, >50K
+56, Private, 229525, 9th, 5, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+33, Private, 34574, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 43, United-States, <=50K
+19, State-gov, 112432, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 10, United-States, <=50K
+20, Private, 105312, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 18, United-States, <=50K
+34, Private, 221396, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 304872, 9th, 5, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+55, Self-emp-not-inc, 319733, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+55, Private, 176012, 9th, 5, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 23, United-States, <=50K
+31, Private, 213750, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+30, Private, 248384, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+31, Private, 351187, HS-grad, 9, Divorced, Other-service, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+51, Private, 138179, HS-grad, 9, Separated, Machine-op-inspct, Not-in-family, White, Male, 0, 1876, 40, United-States, <=50K
+59, Private, 50223, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+58, Private, 117477, HS-grad, 9, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 36, United-States, <=50K
+40, Private, 194360, 9th, 5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+54, Private, 118108, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+25, Local-gov, 90730, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 40, United-States, >50K
+18, Self-emp-inc, 38307, 11th, 7, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+41, Private, 116391, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+57, Private, 210496, 10th, 6, Widowed, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+37, Private, 168475, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+46, Private, 174386, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 24, United-States, <=50K
+39, Private, 166744, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 38, United-States, <=50K
+19, Private, 375114, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+41, Private, 373469, Assoc-acdm, 12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+54, Private, 339667, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 41, United-States, <=50K
+39, Private, 91711, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+41, Private, 82049, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+26, Private, 236242, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+57, Self-emp-inc, 140319, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, <=50K
+33, Local-gov, 34080, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K
+56, Private, 204816, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+60, Private, 187124, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 72310, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K
+58, Private, 175127, 12th, 8, Married-civ-spouse, Transport-moving, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+48, Federal-gov, 205707, Masters, 14, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female, 10520, 0, 50, United-States, >50K
+45, Local-gov, 236586, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 55, United-States, >50K
+18, Private, 71792, HS-grad, 9, Never-married, Sales, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K
+56, Private, 87584, HS-grad, 9, Widowed, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+48, Self-emp-inc, 136878, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, >50K
+40, Private, 287983, Bachelors, 13, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Female, 0, 2258, 48, Philippines, <=50K
+38, Private, 110607, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 32, United-States, <=50K
+58, Private, 109015, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+23, Private, 235071, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 50, United-States, <=50K
+63, Private, 88653, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, ?, <=50K
+51, Private, 332243, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+22, ?, 291547, 5th-6th, 3, Married-civ-spouse, ?, Wife, Other, Female, 0, 0, 40, Mexico, <=50K
+44, Private, 45093, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 70, United-States, <=50K
+46, Federal-gov, 161337, Some-college, 10, Divorced, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+64, State-gov, 211222, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 295117, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, England, >50K
+31, Private, 206541, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 238415, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+21, Private, 29810, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+30, Private, 108023, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 114324, Assoc-voc, 11, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+54, Private, 172281, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 2051, 50, United-States, <=50K
+59, Local-gov, 197290, 9th, 5, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+28, Local-gov, 191177, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 20, United-States, >50K
+57, Private, 562558, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+44, Private, 79531, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+53, Self-emp-inc, 157881, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+58, Self-emp-not-inc, 204816, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K
+19, Private, 185695, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+39, Self-emp-inc, 167482, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+31, Self-emp-inc, 83748, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, Asian-Pac-Islander, Female, 0, 0, 70, South, <=50K
+27, Private, 39232, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+46, Local-gov, 236827, 9th, 5, Separated, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+37, Self-emp-not-inc, 154410, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 135308, Bachelors, 13, Never-married, Sales, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+33, Private, 204042, Some-college, 10, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K
+20, Private, 308239, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 16, United-States, <=50K
+55, Private, 183884, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+39, Private, 98948, Assoc-acdm, 12, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+41, Private, 141642, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+30, Private, 162623, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+39, Self-emp-inc, 186934, Bachelors, 13, Married-spouse-absent, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 179512, HS-grad, 9, Separated, Exec-managerial, Unmarried, White, Female, 0, 0, 50, United-States, <=50K
+25, Private, 391192, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 24, United-States, <=50K
+31, Private, 87054, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+51, Private, 30008, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K
+24, Private, 113466, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+70, Private, 642830, HS-grad, 9, Divorced, Protective-serv, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K
+23, Private, 182117, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+61, Private, 162432, HS-grad, 9, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+45, Self-emp-not-inc, 242184, 7th-8th, 4, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K
+47, Private, 170850, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 4064, 0, 60, United-States, <=50K
+56, Private, 435022, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+79, Private, 120707, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 20051, 0, 35, El-Salvador, >50K
+20, Private, 170800, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+30, Private, 268575, HS-grad, 9, Never-married, Craft-repair, Unmarried, Asian-Pac-Islander, Male, 0, 0, 40, Vietnam, <=50K
+27, Private, 269354, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 25, ?, <=50K
+40, Private, 224232, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+60, ?, 153072, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 5, United-States, <=50K
+58, Private, 177368, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+71, Self-emp-not-inc, 163293, Prof-school, 15, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 2, United-States, <=50K
+50, Private, 178530, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K
+29, Local-gov, 183523, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, Iran, <=50K
+33, Private, 207267, 10th, 6, Separated, Other-service, Unmarried, White, Female, 3418, 0, 35, United-States, <=50K
+60, State-gov, 27037, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, >50K
+33, Private, 176711, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+43, Private, 163215, Bachelors, 13, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 35, ?, >50K
+33, Private, 394727, 10th, 6, Never-married, Handlers-cleaners, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K
+33, Private, 195488, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 52, United-States, <=50K
+32, State-gov, 443546, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 45, United-States, <=50K
+21, Private, 121023, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 9, United-States, <=50K
+38, Private, 51838, HS-grad, 9, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, <=50K
+38, Private, 258888, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 35, United-States, >50K
+39, State-gov, 189385, Some-college, 10, Separated, Exec-managerial, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K
+17, Private, 198146, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+21, Private, 337766, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+42, Private, 210525, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 20, United-States, >50K
+42, Private, 185602, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K
+36, Private, 173804, 11th, 7, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+32, Private, 251243, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, >50K
+37, Self-emp-not-inc, 415847, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+28, Private, 119793, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 181705, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+50, Private, 182360, HS-grad, 9, Separated, Prof-specialty, Unmarried, Other, Female, 0, 0, 60, Puerto-Rico, <=50K
+49, Private, 61885, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 146520, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+40, Private, 323790, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+49, Private, 146268, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+35, Federal-gov, 287031, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 8614, 0, 40, United-States, >50K
+33, Local-gov, 292217, HS-grad, 9, Divorced, Protective-serv, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 88126, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+41, Private, 143046, Masters, 14, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+43, Private, 401623, Some-college, 10, Married-civ-spouse, Tech-support, Husband, Black, Male, 0, 0, 40, Jamaica, >50K
+36, Self-emp-not-inc, 283122, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 1902, 60, United-States, >50K
+84, Self-emp-not-inc, 155057, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 20, United-States, <=50K
+23, Private, 260254, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+41, Private, 152292, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+55, Self-emp-inc, 138594, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 45, United-States, >50K
+30, Self-emp-not-inc, 523095, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+46, Private, 175262, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 40, India, <=50K
+55, Private, 323706, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 40, United-States, >50K
+34, Private, 316470, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+54, Self-emp-not-inc, 163815, Masters, 14, Divorced, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+27, Private, 72208, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+52, Local-gov, 74784, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K
+36, Private, 383518, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 99999, 0, 40, United-States, >50K
+25, Self-emp-not-inc, 266668, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+52, Private, 347519, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K
+24, Private, 336088, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 50, United-States, <=50K
+36, Private, 190350, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+31, Private, 204052, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+66, ?, 31362, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 20, United-States, <=50K
+90, Self-emp-not-inc, 155981, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 10566, 0, 50, United-States, <=50K
+67, Private, 195161, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 20051, 0, 60, United-States, >50K
+22, Self-emp-inc, 269583, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 2580, 0, 40, United-States, <=50K
+47, Private, 26994, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+32, Private, 116539, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 55, United-States, >50K
+55, Self-emp-not-inc, 189933, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K
+32, Private, 101283, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+48, Private, 113598, Some-college, 10, Separated, Adm-clerical, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K
+21, Private, 188793, HS-grad, 9, Married-civ-spouse, Sales, Husband, Other, Male, 0, 0, 35, United-States, <=50K
+33, Private, 109996, Assoc-acdm, 12, Married-spouse-absent, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+27, Private, 195681, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 48, ?, <=50K
+47, Private, 436770, Assoc-voc, 11, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+18, Private, 84253, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 24, United-States, <=50K
+44, Self-emp-inc, 383493, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, >50K
+23, Private, 216867, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 37, Mexico, <=50K
+18, Private, 401051, 10th, 6, Never-married, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+56, Private, 83196, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K
+24, Private, 325596, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+43, Private, 187322, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+23, Private, 193949, Bachelors, 13, Never-married, Sales, Own-child, White, Female, 0, 0, 60, United-States, <=50K
+26, Private, 133373, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 42, United-States, <=50K
+42, Private, 113324, HS-grad, 9, Widowed, Sales, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 178818, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+53, Self-emp-not-inc, 152810, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+51, Private, 335997, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 4386, 0, 55, United-States, >50K
+40, Private, 436493, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 25, United-States, <=50K
+27, Private, 704108, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+24, Local-gov, 150084, Some-college, 10, Separated, Protective-serv, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+42, Private, 341204, HS-grad, 9, Divorced, Craft-repair, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+41, Private, 187336, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+23, Private, 204209, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 10, United-States, <=50K
+42, Self-emp-not-inc, 206066, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 65, United-States, <=50K
+38, Private, 63509, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+63, Self-emp-not-inc, 391121, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 30, United-States, <=50K
+31, Private, 56026, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+18, Self-emp-not-inc, 60981, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 4, United-States, <=50K
+21, Private, 228255, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+24, Private, 86745, Bachelors, 13, Married-civ-spouse, Prof-specialty, Other-relative, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K
+55, Private, 234327, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 59948, 9th, 5, Never-married, Adm-clerical, Unmarried, Black, Female, 114, 0, 20, United-States, <=50K
+31, Private, 137814, Some-college, 10, Divorced, Sales, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+23, Private, 167692, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+35, Private, 245090, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+51, Self-emp-not-inc, 256963, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K
+19, Private, 160033, Some-college, 10, Never-married, Protective-serv, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+38, Local-gov, 289430, HS-grad, 9, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 56, United-States, <=50K
+52, Local-gov, 305053, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 2051, 40, United-States, <=50K
+70, Self-emp-not-inc, 172370, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 25, United-States, <=50K
+53, Private, 320510, 10th, 6, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+59, Private, 171355, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+39, Private, 65027, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 43, United-States, <=50K
+18, Private, 215190, 12th, 8, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+41, ?, 149385, HS-grad, 9, Never-married, ?, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+19, ?, 169324, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 10, United-States, <=50K
+24, Private, 138938, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+25, Private, 557082, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K
+32, Private, 273287, Some-college, 10, Never-married, Exec-managerial, Not-in-family, Black, Male, 0, 0, 40, Jamaica, <=50K
+34, Self-emp-not-inc, 77209, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 1902, 60, United-States, >50K
+35, Private, 317153, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+50, Private, 95469, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 7298, 0, 45, United-States, >50K
+18, Private, 302859, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+37, Private, 333651, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K
+30, Private, 177596, Some-college, 10, Never-married, Other-service, Unmarried, White, Female, 0, 0, 36, United-States, <=50K
+40, Self-emp-inc, 157240, Masters, 14, Married-civ-spouse, Exec-managerial, Wife, White, Female, 15024, 0, 30, Iran, >50K
+22, Private, 184779, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+50, Local-gov, 138358, Some-college, 10, Separated, Other-service, Unmarried, Black, Female, 0, 0, 28, United-States, <=50K
+70, Private, 176285, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 23, United-States, <=50K
+43, Private, 102180, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+77, Self-emp-not-inc, 209507, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+30, Self-emp-not-inc, 229741, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 324546, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 39, United-States, <=50K
+51, Private, 337195, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 1902, 50, United-States, >50K
+58, State-gov, 194068, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 50, United-States, >50K
+22, Private, 250647, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 12, United-States, <=50K
+33, Private, 477106, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+27, Private, 104329, 11th, 7, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 224566, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+32, Private, 169841, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K
+41, Private, 42563, Bachelors, 13, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 25, United-States, >50K
+37, Private, 31368, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+17, Private, 132755, 11th, 7, Never-married, Sales, Own-child, White, Male, 0, 0, 15, United-States, <=50K
+50, Private, 279129, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 55, United-States, >50K
+31, ?, 86143, HS-grad, 9, Married-civ-spouse, ?, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K
+54, State-gov, 44172, HS-grad, 9, Separated, Exec-managerial, Unmarried, White, Female, 0, 0, 38, United-States, <=50K
+23, State-gov, 93076, HS-grad, 9, Never-married, Other-service, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+40, Private, 146653, Bachelors, 13, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 20, United-States, <=50K
+29, Private, 221366, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 5013, 0, 40, Germany, <=50K
+38, Private, 189404, HS-grad, 9, Married-spouse-absent, Other-service, Not-in-family, White, Male, 0, 0, 35, ?, <=50K
+30, Private, 172304, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, <=50K
+20, Private, 116666, Some-college, 10, Never-married, Sales, Own-child, Asian-Pac-Islander, Male, 0, 0, 8, India, <=50K
+43, Self-emp-not-inc, 64112, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K
+25, Private, 55718, Some-college, 10, Never-married, Tech-support, Own-child, White, Male, 0, 0, 25, United-States, <=50K
+39, Private, 126675, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+48, Private, 102112, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+41, Self-emp-not-inc, 226505, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+24, Private, 211527, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+20, Private, 175069, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, Yugoslavia, <=50K
+25, Private, 25249, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+57, Private, 73411, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+39, Private, 207185, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 35, Puerto-Rico, >50K
+66, Private, 127139, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+34, Private, 41809, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+36, Private, 297449, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 14084, 0, 40, United-States, >50K
+46, Private, 141483, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, <=50K
+42, Local-gov, 117227, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 45, United-States, <=50K
+46, Private, 377401, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1902, 70, Canada, >50K
+34, Local-gov, 167063, HS-grad, 9, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+43, Private, 253759, Some-college, 10, Married-civ-spouse, Tech-support, Wife, Black, Female, 0, 0, 40, United-States, <=50K
+42, Private, 183096, Some-college, 10, Divorced, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+31, Private, 269654, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K
+70, ?, 293076, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 30, United-States, <=50K
+32, Private, 34104, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+46, Federal-gov, 80057, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, Germany, >50K
+42, Self-emp-inc, 369781, 7th-8th, 4, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 25, United-States, <=50K
+21, Private, 223811, Assoc-voc, 11, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 163053, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+23, Private, 189461, HS-grad, 9, Never-married, Sales, Other-relative, White, Male, 0, 0, 55, United-States, <=50K
+50, Local-gov, 145166, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 40, United-States, >50K
+37, Private, 86310, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 45, United-States, <=50K
+19, ?, 263224, 11th, 7, Never-married, ?, Unmarried, White, Female, 0, 0, 30, United-States, <=50K
+44, Federal-gov, 280362, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+29, Private, 301031, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+30, Private, 74966, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 24, United-States, <=50K
+36, Private, 254493, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 44, United-States, <=50K
+49, Self-emp-not-inc, 204241, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+29, Private, 225024, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+45, Local-gov, 148222, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+75, State-gov, 113868, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 20, United-States, >50K
+42, Private, 132633, HS-grad, 9, Never-married, Priv-house-serv, Not-in-family, White, Female, 0, 0, 40, ?, <=50K
+37, Private, 44780, Assoc-acdm, 12, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+51, Private, 86373, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 25, United-States, <=50K
+61, Local-gov, 176753, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 48, United-States, <=50K
+33, Private, 164707, Assoc-acdm, 12, Never-married, Exec-managerial, Unmarried, White, Female, 2174, 0, 55, ?, <=50K
+50, Local-gov, 370733, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+59, Private, 216851, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 137951, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 30, United-States, <=50K
+22, Private, 185279, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 16, United-States, <=50K
+56, Private, 159724, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K
+44, Private, 103233, Bachelors, 13, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+35, Private, 63509, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+57, Private, 174353, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+47, Self-emp-not-inc, 168109, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 15024, 0, 50, United-States, >50K
+27, Private, 159724, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+50, Self-emp-not-inc, 105010, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 2051, 20, United-States, <=50K
+30, Private, 179112, Bachelors, 13, Never-married, Prof-specialty, Own-child, Black, Male, 0, 0, 40, ?, <=50K
+46, Private, 364913, 11th, 7, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+48, Self-emp-inc, 155664, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K
+61, Private, 230568, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+33, Private, 86492, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 87, United-States, <=50K
+40, Private, 71305, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+58, Self-emp-inc, 189933, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 65, United-States, >50K
+46, Self-emp-inc, 191978, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2392, 50, United-States, >50K
+35, Private, 38948, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+51, Self-emp-inc, 139127, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 50, United-States, <=50K
+37, Private, 301568, 12th, 8, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+64, Private, 149044, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 2057, 60, China, <=50K
+41, Private, 197344, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 54, United-States, <=50K
+18, Private, 32244, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 594, 0, 30, United-States, <=50K
+44, Self-emp-not-inc, 315406, 11th, 7, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 88, United-States, <=50K
+41, State-gov, 47170, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, Amer-Indian-Eskimo, Female, 0, 0, 48, United-States, >50K
+33, State-gov, 208785, Some-college, 10, Separated, Prof-specialty, Not-in-family, White, Male, 10520, 0, 40, United-States, >50K
+37, Private, 196338, 9th, 5, Separated, Priv-house-serv, Unmarried, White, Female, 0, 0, 16, Mexico, <=50K
+34, Private, 269243, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+24, Federal-gov, 215115, Bachelors, 13, Never-married, Tech-support, Own-child, White, Female, 0, 0, 40, ?, <=50K
+20, Private, 117767, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 176101, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 138283, Assoc-voc, 11, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+20, Self-emp-not-inc, 132320, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 45, United-States, <=50K
+22, Federal-gov, 471452, Bachelors, 13, Never-married, Tech-support, Own-child, White, Male, 0, 0, 8, United-States, <=50K
+55, Private, 147653, Bachelors, 13, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 73, United-States, <=50K
+20, Private, 49179, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+26, Private, 174921, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+20, Self-emp-inc, 95997, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 70, United-States, <=50K
+40, Private, 247245, 9th, 5, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+33, Private, 67072, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+54, ?, 95329, Some-college, 10, Divorced, ?, Own-child, White, Male, 0, 0, 50, United-States, <=50K
+24, Private, 107882, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+25, Private, 241825, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 46, United-States, <=50K
+18, Private, 79443, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 8, United-States, <=50K
+49, Self-emp-not-inc, 233059, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K
+17, Private, 226980, 12th, 8, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 17, United-States, <=50K
+34, Self-emp-not-inc, 181087, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+37, Private, 305597, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K
+49, Federal-gov, 311671, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+74, Private, 129879, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 15831, 0, 40, United-States, >50K
+37, Private, 83375, HS-grad, 9, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 115824, 11th, 7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 1573, 40, United-States, <=50K
+40, Private, 141657, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 35, United-States, >50K
+34, Private, 50276, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 27828, 0, 40, United-States, >50K
+30, Private, 177216, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 1740, 40, Haiti, <=50K
+44, Private, 228057, HS-grad, 9, Separated, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, Puerto-Rico, <=50K
+40, Private, 222848, 10th, 6, Married-civ-spouse, Other-service, Wife, Black, Female, 0, 0, 32, United-States, <=50K
+58, Private, 121111, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, Greece, <=50K
+44, Private, 298885, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+42, Private, 149909, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 25, United-States, >50K
+39, Private, 387430, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 18, United-States, <=50K
+19, Private, 121972, HS-grad, 9, Never-married, Other-service, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+41, Private, 280167, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 70, United-States, >50K
+29, State-gov, 191355, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+34, Federal-gov, 112115, Some-college, 10, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+38, ?, 104094, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 15, United-States, <=50K
+27, Private, 211032, Preschool, 1, Married-civ-spouse, Farming-fishing, Other-relative, White, Male, 41310, 0, 24, Mexico, <=50K
+54, Private, 199307, Some-college, 10, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 48, United-States, <=50K
+40, Private, 205175, HS-grad, 9, Widowed, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 37, United-States, <=50K
+19, Private, 257750, Some-college, 10, Never-married, Sales, Other-relative, White, Female, 0, 0, 25, United-States, <=50K
+17, Private, 191260, 11th, 7, Never-married, Other-service, Own-child, White, Male, 594, 0, 10, United-States, <=50K
+33, Private, 342730, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 52, United-States, <=50K
+80, Private, 249983, 7th-8th, 4, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K
+24, Self-emp-not-inc, 161508, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 50, United-States, <=50K
+28, Private, 338376, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+55, Private, 334308, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 30, United-States, >50K
+21, Private, 133471, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+51, Private, 129177, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K
+19, Private, 178811, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+42, Private, 178537, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K
+60, Self-emp-not-inc, 235535, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 48, United-States, <=50K
+20, ?, 298155, Some-college, 10, Never-married, ?, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+51, Private, 145114, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+21, Private, 194096, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+37, State-gov, 191779, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 159732, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 52, United-States, <=50K
+42, Federal-gov, 170230, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 14084, 0, 60, United-States, >50K
+40, Private, 104719, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+55, Private, 163083, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+33, Private, 403552, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 32, United-States, <=50K
+62, Private, 218009, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1977, 60, United-States, >50K
+47, Private, 179313, 10th, 6, Divorced, Sales, Unmarried, White, Female, 0, 0, 30, United-States, <=50K
+26, Private, 51961, 12th, 8, Never-married, Sales, Other-relative, Black, Male, 0, 0, 51, United-States, <=50K
+59, Private, 426001, HS-grad, 9, Married-spouse-absent, Adm-clerical, Unmarried, White, Female, 0, 0, 20, Puerto-Rico, <=50K
+70, Local-gov, 176493, Some-college, 10, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 17, United-States, <=50K
+26, Private, 124068, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+47, Private, 108510, 10th, 6, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 65, United-States, <=50K
+25, Private, 181528, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 43, United-States, <=50K
+52, Self-emp-inc, 173754, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 60, United-States, >50K
+46, Private, 169699, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+67, Private, 126849, 10th, 6, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male, 0, 0, 20, United-States, <=50K
+34, Private, 204470, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+53, State-gov, 116367, Some-college, 10, Divorced, Adm-clerical, Other-relative, White, Female, 4650, 0, 40, United-States, <=50K
+22, Private, 117363, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+39, Local-gov, 106297, HS-grad, 9, Divorced, Adm-clerical, Own-child, White, Male, 0, 0, 42, United-States, <=50K
+54, Self-emp-not-inc, 108933, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K
+24, Private, 190143, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 246677, HS-grad, 9, Separated, Prof-specialty, Unmarried, White, Female, 0, 0, 38, United-States, <=50K
+38, Private, 175360, 10th, 6, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 2559, 90, United-States, >50K
+41, Local-gov, 210259, Masters, 14, Never-married, Prof-specialty, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+36, Private, 166304, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 33, United-States, <=50K
+43, Private, 303051, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 40, United-States, >50K
+39, Private, 49308, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 192262, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 45, United-States, <=50K
+49, Local-gov, 192349, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 4650, 0, 40, United-States, <=50K
+37, Self-emp-not-inc, 48063, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K
+43, Private, 170214, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+54, Federal-gov, 51048, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+53, Self-emp-inc, 246562, 5th-6th, 3, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, Mexico, >50K
+57, Local-gov, 215175, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K
+28, Private, 114967, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+29, Private, 464536, Bachelors, 13, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 451996, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+51, Private, 138852, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+46, State-gov, 353012, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+50, Self-emp-inc, 321822, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 75, United-States, >50K
+50, Self-emp-not-inc, 324506, HS-grad, 9, Widowed, Exec-managerial, Unmarried, Asian-Pac-Islander, Female, 0, 0, 48, South, <=50K
+36, Private, 162256, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+31, Local-gov, 356689, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 260199, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 10, United-States, <=50K
+36, Private, 103605, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 316211, HS-grad, 9, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 308691, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K
+39, Private, 194404, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 40, United-States, >50K
+18, Private, 334427, 10th, 6, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 36, United-States, <=50K
+33, Private, 213226, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+35, Private, 342824, HS-grad, 9, Never-married, Tech-support, Not-in-family, White, Female, 1151, 0, 40, United-States, <=50K
+23, Private, 33105, Some-college, 10, Never-married, Handlers-cleaners, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K
+37, Private, 147638, Bachelors, 13, Separated, Other-service, Unmarried, Asian-Pac-Islander, Female, 0, 0, 36, Philippines, <=50K
+25, Private, 315643, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 30, United-States, <=50K
+51, Federal-gov, 106257, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+35, Private, 342768, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+54, Private, 108960, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+66, ?, 168071, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 30, United-States, <=50K
+32, Private, 136935, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 13, United-States, <=50K
+37, Self-emp-not-inc, 188774, Bachelors, 13, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 55, United-States, >50K
+29, Private, 280344, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+45, Private, 202496, Bachelors, 13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 37, United-States, <=50K
+61, Self-emp-inc, 134768, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 175686, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+24, Private, 194748, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Female, 0, 0, 49, United-States, <=50K
+49, Private, 61307, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male, 0, 0, 38, United-States, <=50K
+51, Self-emp-not-inc, 165001, Masters, 14, Divorced, Exec-managerial, Unmarried, White, Male, 25236, 0, 50, United-States, >50K
+34, Private, 325658, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+28, ?, 201844, HS-grad, 9, Separated, ?, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K
+20, Private, 505980, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 185336, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 37, United-States, <=50K
+49, Self-emp-inc, 362795, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Male, 99999, 0, 80, Mexico, >50K
+26, Private, 126829, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+63, Private, 264600, 10th, 6, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, <=50K
+36, Private, 82743, Assoc-acdm, 12, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 55, Iran, <=50K
+63, Self-emp-not-inc, 125178, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+22, Private, 128487, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 10, United-States, <=50K
+40, Private, 321758, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+31, Private, 128220, 7th-8th, 4, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+49, Private, 176814, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, Canada, <=50K
+35, Private, 188069, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 13550, 0, 55, ?, >50K
+23, State-gov, 156423, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+25, Private, 169905, Assoc-voc, 11, Never-married, Sales, Not-in-family, White, Male, 27828, 0, 40, United-States, >50K
+34, ?, 157289, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 176972, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K
+44, Self-emp-not-inc, 171424, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 2205, 35, United-States, <=50K
+33, Private, 91811, HS-grad, 9, Separated, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 203924, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 2597, 0, 45, United-States, <=50K
+55, Private, 177484, 11th, 7, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 1672, 40, United-States, <=50K
+17, ?, 454614, 11th, 7, Never-married, ?, Own-child, White, Female, 0, 0, 8, United-States, <=50K
+75, Self-emp-not-inc, 242108, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 2346, 0, 15, United-States, <=50K
+61, Private, 132972, 9th, 5, Never-married, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+53, Private, 157947, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+26, Local-gov, 177482, Assoc-acdm, 12, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 45, United-States, >50K
+48, Private, 246891, Some-college, 10, Widowed, Sales, Unmarried, White, Male, 0, 0, 50, United-States, >50K
+28, State-gov, 158834, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+30, ?, 203834, Bachelors, 13, Never-married, ?, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 50, Taiwan, <=50K
+29, Private, 110442, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 45, United-States, <=50K
+25, Private, 240676, Some-college, 10, Divorced, Tech-support, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+37, Private, 192939, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+43, Local-gov, 260696, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 55, United-States, <=50K
+40, Local-gov, 55363, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 144949, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K
+55, Private, 116878, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 30, United-States, >50K
+31, Local-gov, 357954, Assoc-acdm, 12, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K
+21, ?, 170038, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+32, Self-emp-not-inc, 190290, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, Italy, <=50K
+26, State-gov, 203279, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 2463, 0, 50, India, <=50K
+26, Private, 167761, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+44, Private, 138845, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+49, Private, 144844, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 52, United-States, >50K
+21, ?, 161930, HS-grad, 9, Never-married, ?, Own-child, Black, Female, 0, 1504, 30, United-States, <=50K
+26, Private, 55743, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K
+40, Self-emp-not-inc, 117721, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K
+19, Self-emp-not-inc, 116385, 11th, 7, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+58, Private, 301867, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K
+61, Private, 238913, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K
+28, Self-emp-not-inc, 123983, Some-college, 10, Married-civ-spouse, Sales, Own-child, Asian-Pac-Islander, Male, 0, 0, 63, South, <=50K
+26, Private, 165510, Bachelors, 13, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+64, Private, 183513, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K
+42, Self-emp-inc, 119281, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K
+41, Private, 152629, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K
+45, Private, 110171, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+39, Private, 211440, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+41, Local-gov, 359259, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+51, Private, 125796, 11th, 7, Separated, Other-service, Not-in-family, Black, Female, 0, 0, 40, Jamaica, <=50K
+34, Private, 39609, Assoc-voc, 11, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+33, Private, 111567, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 45, Germany, >50K
+23, Private, 44064, Some-college, 10, Separated, Other-service, Not-in-family, White, Male, 0, 2559, 40, United-States, >50K
+35, Self-emp-not-inc, 120066, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male, 0, 0, 60, United-States, <=50K
+41, Private, 132633, 11th, 7, Divorced, Priv-house-serv, Unmarried, White, Female, 0, 0, 25, Guatemala, <=50K
+39, Private, 192702, Masters, 14, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+41, Private, 166813, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K
+33, Self-emp-inc, 40444, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 290504, HS-grad, 9, Never-married, Other-service, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 178505, Some-college, 10, Never-married, Exec-managerial, Other-relative, White, Female, 0, 1504, 45, United-States, <=50K
+25, Private, 175370, Some-college, 10, Divorced, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+77, Self-emp-not-inc, 72931, 7th-8th, 4, Married-spouse-absent, Adm-clerical, Not-in-family, White, Male, 0, 0, 20, Italy, >50K
+33, ?, 234542, Assoc-voc, 11, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+66, Private, 284021, HS-grad, 9, Widowed, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+19, Private, 277974, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+44, Private, 111275, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 38, United-States, <=50K
+45, Self-emp-inc, 191776, Masters, 14, Divorced, Sales, Unmarried, White, Female, 25236, 0, 42, United-States, >50K
+28, Private, 125527, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+19, Private, 38294, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, White, Male, 2597, 0, 40, United-States, <=50K
+43, Private, 313022, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 4386, 0, 40, United-States, >50K
+39, Private, 179668, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 15024, 0, 40, United-States, >50K
+33, Private, 198660, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K
+44, Private, 216116, HS-grad, 9, Married-spouse-absent, Other-service, Not-in-family, Black, Female, 0, 0, 40, Jamaica, <=50K
+62, Private, 200922, 7th-8th, 4, Widowed, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+40, Private, 153372, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+41, Private, 406603, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 6, Iran, <=50K
+23, Local-gov, 248344, Some-college, 10, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 30, United-States, <=50K
+48, Private, 240629, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Italy, >50K
+38, Private, 314310, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K
+37, Private, 259785, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+45, Private, 127111, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K
+29, Private, 178272, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K
+66, Local-gov, 75134, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 25, United-States, <=50K
+19, Private, 195985, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+23, Private, 221955, 9th, 5, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 39, Mexico, <=50K
+34, Private, 177675, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K
+39, Private, 182828, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+33, Self-emp-not-inc, 270889, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+43, Private, 183096, Some-college, 10, Separated, Sales, Unmarried, White, Female, 0, 0, 10, United-States, <=50K
+27, Private, 336951, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 99, United-States, <=50K
+33, State-gov, 295589, Some-college, 10, Separated, Adm-clerical, Own-child, Black, Male, 0, 0, 35, United-States, <=50K
+26, Private, 289980, 5th-6th, 3, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 30, Mexico, <=50K
+56, Self-emp-inc, 70720, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Male, 27828, 0, 60, United-States, >50K
+46, Private, 163352, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 36, United-States, <=50K
+38, Private, 190776, Assoc-acdm, 12, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+90, Private, 313986, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+72, Self-emp-inc, 473748, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 25, United-States, >50K
+20, Private, 163003, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Asian-Pac-Islander, Female, 0, 0, 15, United-States, <=50K
+29, Private, 183061, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male, 0, 0, 48, United-States, <=50K
+49, Private, 123584, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 75, United-States, <=50K
+23, Private, 120910, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 35, United-States, <=50K
+20, Private, 227554, Some-college, 10, Married-spouse-absent, Sales, Own-child, Black, Female, 0, 0, 18, United-States, <=50K
+57, Private, 182677, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 4508, 0, 40, South, <=50K
+46, Private, 214955, Assoc-acdm, 12, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+33, Private, 209768, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+24, Private, 258120, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 55, Jamaica, <=50K
+49, Private, 110015, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, Greece, <=50K
+54, Private, 152652, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 65, United-States, <=50K
+46, Federal-gov, 43206, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 1564, 50, United-States, >50K
+31, Self-emp-not-inc, 114639, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+43, Self-emp-inc, 221172, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 40, United-States, >50K
+18, ?, 128538, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 6, United-States, <=50K
+19, Private, 131615, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+46, Private, 353824, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+43, Private, 178417, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+58, Private, 178644, HS-grad, 9, Widowed, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+43, Self-emp-not-inc, 271665, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K
+37, ?, 223732, Some-college, 10, Separated, ?, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+21, Federal-gov, 169003, 12th, 8, Never-married, Adm-clerical, Own-child, Black, Male, 0, 0, 25, United-States, <=50K
+52, State-gov, 338816, Masters, 14, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 70, United-States, >50K
+34, Private, 506858, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 32, United-States, >50K
+28, Private, 265628, Assoc-voc, 11, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+34, Private, 173495, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 177413, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K
+39, Private, 31670, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 65, United-States, <=50K
+49, Private, 154451, 11th, 7, Divorced, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K
+35, Private, 265535, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 50, Jamaica, >50K
+31, Private, 118941, Some-college, 10, Divorced, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+18, Private, 214617, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+47, Local-gov, 265097, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 4386, 0, 40, United-States, >50K
+46, Private, 276087, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 5013, 0, 50, United-States, <=50K
+43, Private, 124692, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+51, Federal-gov, 306784, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 4386, 0, 40, United-States, >50K
+21, Private, 434102, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+18, ?, 387641, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+31, State-gov, 181824, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1902, 35, United-States, >50K
+39, Local-gov, 177907, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 1887, 40, United-States, >50K
+58, Private, 87329, 11th, 7, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 48, United-States, <=50K
+36, Private, 263130, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+38, Private, 262882, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, United-States, <=50K
+31, Private, 37546, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 1902, 35, United-States, >50K
+19, Private, 27433, 11th, 7, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 393945, Assoc-voc, 11, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K
+26, Private, 173927, Assoc-voc, 11, Never-married, Prof-specialty, Own-child, Other, Female, 0, 0, 60, Jamaica, <=50K
+38, Private, 343403, Assoc-acdm, 12, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 16, United-States, <=50K
+36, Private, 111128, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+40, Private, 193882, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+25, Private, 310864, Bachelors, 13, Never-married, Tech-support, Not-in-family, Black, Male, 0, 0, 40, ?, <=50K
+41, Private, 128354, Bachelors, 13, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 25, United-States, >50K
+33, Private, 113364, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+63, ?, 198559, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 16, United-States, <=50K
+51, Private, 136913, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 115488, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 154227, Assoc-voc, 11, Divorced, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 279667, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+30, Self-emp-not-inc, 281030, HS-grad, 9, Never-married, Sales, Unmarried, White, Male, 0, 0, 66, United-States, <=50K
+19, Private, 283945, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 25, United-States, <=50K
+47, Private, 454989, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K
+26, Private, 391349, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+21, State-gov, 166704, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 14, United-States, <=50K
+36, Private, 151835, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 60, United-States, >50K
+60, Private, 199085, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 61487, HS-grad, 9, Never-married, Prof-specialty, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K
+19, Private, 120251, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 14, United-States, <=50K
+42, Private, 273230, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 90, United-States, <=50K
+36, Private, 358373, HS-grad, 9, Separated, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 36, United-States, <=50K
+35, Private, 267891, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 38, United-States, <=50K
+22, Private, 234880, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+54, Private, 48358, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+36, Private, 96452, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K
+55, Private, 204751, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 65, United-States, <=50K
+57, Private, 375868, Masters, 14, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+56, Private, 413373, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 36, United-States, <=50K
+24, Private, 537222, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K
+35, Local-gov, 33975, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+51, Self-emp-inc, 162327, 11th, 7, Divorced, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 182691, HS-grad, 9, Divorced, Exec-managerial, Own-child, White, Male, 0, 0, 44, United-States, <=50K
+36, Private, 300829, Assoc-acdm, 12, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 42, United-States, <=50K
+51, Local-gov, 114508, 9th, 5, Separated, Other-service, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+46, Self-emp-inc, 214627, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K
+42, Private, 129684, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, Black, Female, 5455, 0, 50, United-States, <=50K
+25, State-gov, 120041, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+22, Private, 361138, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 50, United-States, <=50K
+37, Private, 76893, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+48, Private, 205424, Bachelors, 13, Divorced, Sales, Unmarried, White, Male, 0, 0, 40, United-States, >50K
+61, Private, 176839, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 50, United-States, >50K
+40, Private, 229148, 12th, 8, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, Jamaica, <=50K
+58, Self-emp-inc, 154537, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 20, United-States, >50K
+52, Private, 181901, HS-grad, 9, Married-spouse-absent, Farming-fishing, Other-relative, White, Male, 0, 0, 20, Mexico, <=50K
+18, Private, 152004, 11th, 7, Never-married, Other-service, Own-child, Black, Male, 0, 0, 20, United-States, <=50K
+27, Private, 205188, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+48, Self-emp-not-inc, 30840, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 5013, 0, 45, United-States, <=50K
+63, Private, 66634, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 16, United-States, <=50K
+38, Self-emp-not-inc, 180220, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K
+31, Private, 291052, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 2051, 40, United-States, <=50K
+40, Self-emp-not-inc, 99651, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K
+41, Private, 327723, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 32291, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 2174, 0, 40, United-States, <=50K
+31, Private, 345122, Prof-school, 15, Divorced, Prof-specialty, Not-in-family, White, Male, 14084, 0, 50, United-States, >50K
+32, Private, 127384, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, >50K
+30, Private, 363296, HS-grad, 9, Never-married, Handlers-cleaners, Unmarried, Black, Male, 0, 0, 72, United-States, <=50K
+39, Local-gov, 86551, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 1876, 40, United-States, <=50K
+28, Private, 30070, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K
+31, Private, 595000, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, Black, Female, 0, 0, 35, United-States, <=50K
+21, ?, 152328, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+33, ?, 177824, HS-grad, 9, Separated, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+44, State-gov, 111483, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+22, Private, 199555, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 25, United-States, <=50K
+42, Private, 50018, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, ?, <=50K
+36, Private, 218490, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K
+39, Private, 49020, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 1974, 40, United-States, <=50K
+61, Private, 213321, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1672, 40, United-States, <=50K
+31, Private, 159187, HS-grad, 9, Divorced, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 83033, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 25, Germany, <=50K
+39, Self-emp-not-inc, 31848, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 2829, 0, 90, United-States, <=50K
+34, Self-emp-not-inc, 24961, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 80, United-States, <=50K
+21, Private, 182117, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 15, United-States, <=50K
+75, Self-emp-not-inc, 146576, Bachelors, 13, Widowed, Prof-specialty, Unmarried, White, Male, 0, 0, 48, United-States, >50K
+21, Private, 176690, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 24, United-States, <=50K
+81, Private, 122651, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 15, United-States, <=50K
+54, Self-emp-inc, 149650, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, Canada, <=50K
+34, Private, 454508, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 65, Iran, <=50K
+54, Self-emp-not-inc, 269068, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 99999, 0, 50, Philippines, >50K
+41, Private, 266530, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Amer-Indian-Eskimo, Male, 0, 0, 45, United-States, <=50K
+61, ?, 198542, Bachelors, 13, Divorced, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+63, Private, 133144, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 2580, 0, 20, United-States, <=50K
+24, Private, 217961, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 221661, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, Mexico, <=50K
+44, Local-gov, 60735, Bachelors, 13, Divorced, Prof-specialty, Own-child, White, Female, 0, 0, 60, United-States, <=50K
+47, Self-emp-not-inc, 121124, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+31, Private, 48588, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+41, Private, 48087, 7th-8th, 4, Divorced, Craft-repair, Not-in-family, White, Male, 0, 1590, 40, United-States, <=50K
+53, Self-emp-not-inc, 240138, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K
+63, Private, 273010, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 3471, 0, 40, United-States, <=50K
+44, Private, 104196, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K
+37, Private, 230035, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 46, United-States, >50K
+28, Private, 38918, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, Germany, >50K
+71, ?, 205011, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 10, United-States, <=50K
+57, Private, 176079, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+22, Private, 180052, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 10, United-States, <=50K
+33, Local-gov, 173005, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 1848, 45, United-States, >50K
+30, Private, 378723, Some-college, 10, Divorced, Adm-clerical, Own-child, White, Female, 0, 0, 55, United-States, <=50K
+20, Private, 233624, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 192591, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+54, Private, 249860, 11th, 7, Divorced, Priv-house-serv, Unmarried, Black, Female, 0, 0, 10, United-States, <=50K
+20, Private, 247564, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+34, Private, 238912, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 190227, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+29, State-gov, 293287, Some-college, 10, Never-married, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+51, Private, 180807, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+39, Private, 250217, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 70, United-States, <=50K
+19, Private, 217418, Some-college, 10, Never-married, Adm-clerical, Other-relative, Black, Female, 0, 0, 38, United-States, <=50K
+22, Local-gov, 137510, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+59, State-gov, 163047, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K
+18, Private, 577521, 11th, 7, Never-married, Sales, Own-child, White, Male, 0, 0, 13, United-States, <=50K
+22, Private, 221533, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K
+42, Local-gov, 255675, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+39, Private, 114079, Assoc-acdm, 12, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 155781, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+28, Private, 243762, 11th, 7, Separated, Craft-repair, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+22, Private, 113062, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 7, United-States, <=50K
+67, Private, 217028, Masters, 14, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+17, Private, 110723, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+47, Federal-gov, 191858, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+23, Private, 179423, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 5, United-States, <=50K
+20, Private, 339588, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, Peru, <=50K
+22, Private, 206815, HS-grad, 9, Never-married, Sales, Unmarried, White, Female, 0, 0, 40, Peru, <=50K
+47, State-gov, 103743, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+49, Private, 235683, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, >50K
+64, ?, 207321, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 20, United-States, <=50K
+35, State-gov, 197495, Some-college, 10, Divorced, Exec-managerial, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+52, Federal-gov, 424012, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+29, Private, 178469, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+73, Self-emp-inc, 92886, 10th, 6, Widowed, Sales, Unmarried, White, Female, 0, 0, 40, Canada, <=50K
+38, Self-emp-not-inc, 214008, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+59, Self-emp-not-inc, 325732, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 52, United-States, >50K
+35, Private, 28572, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 4064, 0, 35, United-States, <=50K
+18, Private, 118376, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+24, Private, 51799, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 40, United-States, <=50K
+33, Local-gov, 115488, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K
+40, Private, 190621, Some-college, 10, Divorced, Exec-managerial, Other-relative, Black, Female, 0, 0, 55, United-States, <=50K
+55, Private, 193568, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+44, Private, 192878, HS-grad, 9, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 264663, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 60, United-States, <=50K
+22, Private, 234731, HS-grad, 9, Divorced, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+55, Private, 308373, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K
+45, Private, 205644, HS-grad, 9, Separated, Tech-support, Not-in-family, White, Female, 0, 0, 26, United-States, <=50K
+47, Local-gov, 321851, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, >50K
+56, Private, 206399, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+44, Private, 124563, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+32, State-gov, 198211, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K
+17, Private, 130795, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+44, Private, 71269, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+32, Self-emp-not-inc, 319280, Assoc-acdm, 12, Never-married, Sales, Not-in-family, White, Male, 0, 0, 80, United-States, <=50K
+35, Private, 125933, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K
+27, Private, 107236, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 32732, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K
+68, Private, 284763, 11th, 7, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K
+20, Private, 112668, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+33, Private, 376483, Some-college, 10, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+24, Private, 402778, 9th, 5, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 12, United-States, <=50K
+48, Private, 36177, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+45, Private, 125489, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 50, United-States, <=50K
+48, Private, 304791, Some-college, 10, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+28, Private, 209205, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K
+60, ?, 112821, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 35, United-States, >50K
+39, Local-gov, 178100, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+23, Private, 70261, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+23, State-gov, 186634, 12th, 8, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 32958, Some-college, 10, Separated, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+25, Private, 254746, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, <=50K
+52, Private, 158746, HS-grad, 9, Never-married, Other-service, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+35, Self-emp-not-inc, 140854, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+41, Private, 51506, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+45, Private, 189564, Bachelors, 13, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 42, United-States, >50K
+37, Federal-gov, 325538, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, ?, >50K
+58, Private, 213975, Assoc-voc, 11, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+67, Self-emp-not-inc, 431426, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 2, United-States, <=50K
+48, Private, 199763, HS-grad, 9, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 8, United-States, <=50K
+63, Private, 161563, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, <=50K
+24, Local-gov, 252024, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 72, United-States, >50K
+43, Private, 43945, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+36, Private, 178487, HS-grad, 9, Divorced, Transport-moving, Own-child, White, Male, 0, 0, 60, United-States, <=50K
+32, Private, 604506, HS-grad, 9, Married-civ-spouse, Transport-moving, Own-child, White, Male, 0, 0, 72, Mexico, <=50K
+36, Private, 228157, Some-college, 10, Never-married, Craft-repair, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, Laos, <=50K
+43, Private, 199191, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+27, Private, 189775, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+17, Private, 171080, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 12, United-States, <=50K
+45, Private, 117310, Bachelors, 13, Divorced, Sales, Not-in-family, White, Female, 0, 0, 46, United-States, <=50K
+41, Self-emp-inc, 82049, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+41, Self-emp-not-inc, 126094, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 38, United-States, <=50K
+18, ?, 202516, HS-grad, 9, Never-married, ?, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+48, Local-gov, 246392, Assoc-acdm, 12, Separated, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+51, ?, 69328, Assoc-voc, 11, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 50, United-States, >50K
+26, Private, 292803, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 24, United-States, <=50K
+54, Private, 286989, Preschool, 1, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K
+22, Private, 190483, Some-college, 10, Divorced, Sales, Own-child, White, Female, 0, 0, 48, Iran, <=50K
+19, Private, 235849, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+47, Private, 359766, 7th-8th, 4, Divorced, Handlers-cleaners, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K
+32, Private, 128016, HS-grad, 9, Married-spouse-absent, Other-service, Unmarried, White, Female, 0, 0, 20, United-States, <=50K
+46, Private, 360096, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 60, United-States, >50K
+30, Private, 170154, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, >50K
+35, Private, 337286, Masters, 14, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K
+52, Private, 204322, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 5013, 0, 40, United-States, <=50K
+73, Self-emp-not-inc, 143833, 12th, 8, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 18, United-States, <=50K
+17, Private, 365613, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 10, Canada, <=50K
+32, Private, 100135, Bachelors, 13, Separated, Prof-specialty, Unmarried, White, Female, 0, 0, 32, United-States, <=50K
+43, Local-gov, 180096, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+19, ?, 371827, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 40, Portugal, <=50K
+26, Private, 61270, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, Other, Female, 0, 0, 40, Columbia, <=50K
+41, Federal-gov, 564135, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+49, Private, 198759, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 60, United-States, >50K
+52, State-gov, 303462, Some-college, 10, Separated, Protective-serv, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 193106, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 32, United-States, <=50K
+57, Private, 250201, 11th, 7, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 52, United-States, <=50K
+35, Private, 200426, Assoc-voc, 11, Married-spouse-absent, Prof-specialty, Unmarried, White, Female, 0, 0, 44, United-States, <=50K
+33, Private, 222654, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+56, Private, 53366, 7th-8th, 4, Divorced, Transport-moving, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+42, Private, 132222, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 60, United-States, <=50K
+17, Private, 100828, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+49, Private, 31264, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+39, Private, 202027, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K
+34, Self-emp-not-inc, 168906, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 50, United-States, <=50K
+37, Self-emp-not-inc, 255454, Some-college, 10, Never-married, Prof-specialty, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+22, Private, 245524, 12th, 8, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+27, Private, 386040, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+21, Private, 35424, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+59, ?, 93655, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+44, Private, 152629, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 3103, 0, 40, United-States, >50K
+53, Self-emp-not-inc, 151159, 10th, 6, Married-spouse-absent, Transport-moving, Not-in-family, White, Male, 0, 0, 99, United-States, <=50K
+26, Private, 410240, 11th, 7, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+48, Private, 138970, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+39, Private, 269722, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 70, United-States, <=50K
+34, Private, 223678, HS-grad, 9, Never-married, Other-service, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 32, United-States, <=50K
+54, State-gov, 197184, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 38, United-States, <=50K
+36, Private, 143486, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 7298, 0, 50, United-States, >50K
+60, Private, 160625, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 5013, 0, 40, United-States, <=50K
+50, Private, 140516, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K
+48, Local-gov, 85341, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K
+35, Private, 108293, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 2205, 40, United-States, <=50K
+40, Self-emp-not-inc, 192507, Assoc-acdm, 12, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+30, Private, 186932, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 70, United-States, <=50K
+65, Self-emp-not-inc, 223580, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 6514, 0, 40, United-States, >50K
+31, Private, 236861, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K
+46, Local-gov, 327886, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+67, ?, 407618, 9th, 5, Divorced, ?, Not-in-family, White, Female, 2050, 0, 40, United-States, <=50K
+62, Self-emp-inc, 197060, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K
+38, Private, 229180, Bachelors, 13, Never-married, Exec-managerial, Unmarried, White, Female, 0, 0, 40, Cuba, <=50K
+24, Private, 284317, Bachelors, 13, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+24, Private, 73514, Some-college, 10, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 50, Philippines, <=50K
+27, Private, 47907, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K
+43, State-gov, 134782, Assoc-acdm, 12, Married-spouse-absent, Other-service, Unmarried, White, Female, 0, 0, 30, United-States, <=50K
+48, Private, 118831, HS-grad, 9, Divorced, Handlers-cleaners, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, South, <=50K
+41, Private, 299505, HS-grad, 9, Separated, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+30, Private, 267161, Some-college, 10, Married-civ-spouse, Tech-support, Wife, Black, Female, 0, 0, 45, United-States, <=50K
+38, Private, 119177, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+45, Private, 327886, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+45, Private, 187730, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+55, Private, 109015, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K
+46, Self-emp-not-inc, 110015, 7th-8th, 4, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 75, Greece, <=50K
+24, Private, 104146, Bachelors, 13, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K
+31, Local-gov, 50442, Some-college, 10, Never-married, Adm-clerical, Own-child, Amer-Indian-Eskimo, Female, 0, 0, 25, United-States, <=50K
+35, Private, 57640, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K
+37, Local-gov, 333664, Some-college, 10, Separated, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+29, Private, 224858, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K
+56, Private, 290641, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+60, ?, 191118, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 1848, 40, United-States, >50K
+25, Private, 34402, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 1590, 60, United-States, <=50K
+33, Private, 245378, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+44, Private, 179136, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+21, Private, 116788, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 129699, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+46, Federal-gov, 39606, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, England, >50K
+44, Self-emp-inc, 95150, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+63, Private, 102479, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+44, Private, 199191, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 30, United-States, <=50K
+31, Private, 229636, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, Mexico, <=50K
+26, Private, 53833, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 42, United-States, <=50K
+37, Self-emp-inc, 27997, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+60, ?, 124487, Some-college, 10, Divorced, ?, Not-in-family, White, Female, 0, 0, 40, United-States, >50K
+33, Private, 111363, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+38, Private, 107630, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 134287, Assoc-voc, 11, Never-married, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+46, Self-emp-inc, 283004, Assoc-voc, 11, Divorced, Exec-managerial, Unmarried, Asian-Pac-Islander, Female, 0, 0, 63, Thailand, <=50K
+24, Private, 33616, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 35, United-States, <=50K
+47, Local-gov, 121124, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, >50K
+27, Private, 188189, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+46, Private, 106255, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+47, Federal-gov, 282830, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, >50K
+47, Private, 243904, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Male, 0, 0, 40, Honduras, <=50K
+69, Private, 165017, HS-grad, 9, Widowed, Machine-op-inspct, Unmarried, White, Male, 2538, 0, 40, United-States, <=50K
+32, Private, 131584, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 7298, 0, 40, United-States, >50K
+51, Private, 427781, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+36, Private, 334291, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+50, Local-gov, 173224, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, <=50K
+29, Private, 87507, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 60, India, <=50K
+32, Private, 187560, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 3908, 0, 40, United-States, <=50K
+27, Private, 204497, 10th, 6, Divorced, Transport-moving, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 75, United-States, <=50K
+60, Private, 230545, 7th-8th, 4, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, Cuba, <=50K
+31, Private, 118161, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+46, Private, 150499, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+40, Local-gov, 96554, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+39, Private, 288551, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 52, United-States, >50K
+69, Self-emp-not-inc, 104003, 7th-8th, 4, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K
+54, Self-emp-inc, 124963, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+56, Private, 198388, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+47, Federal-gov, 126204, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+25, Private, 91709, Assoc-acdm, 12, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+34, Self-emp-not-inc, 152109, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K
+24, Self-emp-not-inc, 191954, 7th-8th, 4, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 50, United-States, <=50K
+63, Private, 108097, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 10566, 0, 45, United-States, <=50K
+29, Local-gov, 289991, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K
+64, Private, 92115, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+44, Private, 320277, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 33610, HS-grad, 9, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 60, United-States, <=50K
+36, Private, 168276, 10th, 6, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+55, State-gov, 175127, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 7688, 0, 38, United-States, >50K
+37, Private, 254973, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Wife, White, Female, 0, 0, 40, United-States, >50K
+37, Private, 95336, 10th, 6, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K
+63, Private, 346975, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 7688, 0, 36, United-States, >50K
+33, Private, 227282, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K
+19, Private, 138153, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 10, United-States, <=50K
+57, Local-gov, 174132, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, Black, Female, 0, 1977, 40, United-States, >50K
+31, Private, 182237, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 4386, 0, 45, United-States, >50K
+20, ?, 111252, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+58, Local-gov, 217775, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 40, United-States, >50K
+20, ?, 168863, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+25, Private, 394503, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 141657, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+18, Private, 125441, 11th, 7, Never-married, Other-service, Own-child, White, Male, 1055, 0, 20, United-States, <=50K
+26, Private, 172230, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 282944, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+45, Local-gov, 55377, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+35, State-gov, 49352, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 38, United-States, <=50K
+32, Private, 213887, Some-college, 10, Divorced, Machine-op-inspct, Unmarried, White, Male, 0, 0, 45, United-States, <=50K
+61, Self-emp-not-inc, 24046, HS-grad, 9, Widowed, Other-service, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+26, State-gov, 208122, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 15, United-States, <=50K
+56, Private, 176118, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 3103, 0, 40, United-States, >50K
+22, Private, 227994, Some-college, 10, Married-spouse-absent, Adm-clerical, Own-child, Asian-Pac-Islander, Female, 0, 0, 39, United-States, <=50K
+49, Private, 215389, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 48, United-States, <=50K
+40, Private, 99434, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 12, United-States, <=50K
+37, Private, 190964, HS-grad, 9, Separated, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+23, ?, 113700, Bachelors, 13, Never-married, ?, Own-child, White, Male, 0, 0, 50, United-States, <=50K
+28, Private, 259840, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K
+27, Private, 168827, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+34, Self-emp-inc, 28984, Assoc-voc, 11, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+49, Private, 182211, 9th, 5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 45, United-States, <=50K
+41, Private, 82393, Some-college, 10, Never-married, Craft-repair, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K
+28, Private, 183639, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 21, United-States, <=50K
+38, Private, 342448, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K
+47, State-gov, 469907, Assoc-acdm, 12, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 1740, 40, United-States, <=50K
+28, Local-gov, 211920, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K
+44, State-gov, 33658, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 50, United-States, >50K
+41, Federal-gov, 34178, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+50, Private, 400630, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 36, United-States, >50K
+73, Self-emp-not-inc, 161251, HS-grad, 9, Widowed, Craft-repair, Not-in-family, White, Male, 0, 0, 24, United-States, <=50K
+21, Private, 255685, Some-college, 10, Never-married, Other-service, Own-child, Black, Male, 0, 0, 40, Outlying-US(Guam-USVI-etc), <=50K
+38, Private, 199256, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+64, ?, 143716, Masters, 14, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 2, United-States, <=50K
+47, Private, 221666, Some-college, 10, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+52, Private, 145409, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 15024, 0, 60, Canada, >50K
+24, Private, 39615, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+44, Private, 104440, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+27, Private, 151382, 7th-8th, 4, Divorced, Machine-op-inspct, Unmarried, White, Male, 0, 974, 40, United-States, <=50K
+61, Self-emp-not-inc, 503675, Some-college, 10, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 60, United-States, >50K
+58, Private, 306233, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 40, United-States, >50K
+51, Private, 216475, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 1564, 43, United-States, >50K
+49, Private, 50748, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 55, England, <=50K
+23, Private, 107190, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Male, 0, 0, 20, United-States, <=50K
+19, Private, 206874, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+21, Private, 83141, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 53, United-States, <=50K
+56, Private, 444089, 11th, 7, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+35, Private, 141896, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+37, Federal-gov, 33487, Some-college, 10, Divorced, Tech-support, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 20, United-States, <=50K
+41, Private, 65372, Doctorate, 16, Divorced, Sales, Unmarried, White, Female, 0, 0, 50, United-States, >50K
+30, Private, 341346, 11th, 7, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 343403, Doctorate, 16, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 20, ?, <=50K
+47, Private, 287480, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+59, Self-emp-inc, 107287, 10th, 6, Widowed, Exec-managerial, Unmarried, White, Female, 0, 2559, 50, United-States, >50K
+55, Private, 199067, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 32, United-States, <=50K
+22, ?, 182771, Assoc-voc, 11, Never-married, ?, Own-child, Asian-Pac-Islander, Male, 0, 0, 20, United-States, <=50K
+31, Private, 159737, 10th, 6, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+30, Private, 110643, Masters, 14, Married-civ-spouse, Adm-clerical, Husband, White, Male, 4386, 0, 40, United-States, >50K
+24, Private, 117583, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 48, United-States, <=50K
+49, Self-emp-not-inc, 43479, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 203003, 7th-8th, 4, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 25, Germany, <=50K
+50, Private, 133963, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 35, United-States, <=50K
+38, Private, 227794, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+20, Self-emp-not-inc, 112137, Some-college, 10, Never-married, Prof-specialty, Other-relative, Asian-Pac-Islander, Female, 0, 0, 20, South, <=50K
+49, Self-emp-not-inc, 110457, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K
+45, Private, 281565, HS-grad, 9, Widowed, Other-service, Other-relative, Asian-Pac-Islander, Female, 0, 0, 50, South, <=50K
+46, Federal-gov, 297906, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 50, United-States, >50K
+19, Private, 151506, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+31, Federal-gov, 139455, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, Cuba, <=50K
+38, Private, 26987, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+56, Self-emp-not-inc, 233312, Masters, 14, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K
+24, Private, 161092, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+58, Local-gov, 98361, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K
+28, Private, 188928, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 164922, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+46, Private, 185673, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 193598, Preschool, 1, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K
+56, Private, 274111, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, >50K
+32, Private, 245482, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male, 0, 0, 40, ?, <=50K
+56, Private, 160932, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 44, United-States, >50K
+50, Private, 44368, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+28, ?, 291374, HS-grad, 9, Separated, ?, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K
+30, Private, 280927, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+24, Private, 222993, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+42, Federal-gov, 25240, Assoc-voc, 11, Divorced, Prof-specialty, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K
+31, Self-emp-not-inc, 204052, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+18, Private, 74054, 11th, 7, Never-married, Sales, Own-child, Other, Female, 0, 0, 20, ?, <=50K
+46, Private, 169042, 10th, 6, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 25, Ecuador, <=50K
+31, Private, 104509, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 65, United-States, >50K
+38, Local-gov, 185394, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 7688, 0, 40, United-States, >50K
+44, Local-gov, 254146, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+55, Self-emp-inc, 227856, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2415, 50, United-States, >50K
+19, Private, 183041, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+45, Private, 107682, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, >50K
+50, Self-emp-inc, 287598, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 70, United-States, <=50K
+53, Private, 182186, 9th, 5, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Dominican-Republic, <=50K
+41, Self-emp-inc, 194636, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 99999, 0, 65, United-States, >50K
+45, Private, 112305, Some-college, 10, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+21, Private, 212661, 10th, 6, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 39, United-States, <=50K
+37, Private, 32709, Bachelors, 13, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 40, United-States, >50K
+42, Federal-gov, 46366, HS-grad, 9, Separated, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+37, Self-emp-not-inc, 24106, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 30, United-States, <=50K
+46, Private, 170850, Bachelors, 13, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 1590, 40, ?, <=50K
+45, Self-emp-not-inc, 40666, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K
+32, Private, 182975, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+30, Private, 345122, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K
+57, ?, 208311, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 80, United-States, >50K
+37, Private, 120045, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 56, United-States, <=50K
+18, ?, 201299, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+32, Private, 152940, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+43, Private, 243580, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+46, Private, 182128, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 6497, 0, 50, United-States, <=50K
+36, ?, 176458, HS-grad, 9, Divorced, ?, Unmarried, White, Female, 0, 0, 28, United-States, <=50K
+33, Private, 101562, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+48, Private, 108699, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+34, Private, 175878, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Female, 0, 0, 40, United-States, <=50K
+34, Local-gov, 177675, Some-college, 10, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 50, United-States, >50K
+33, Private, 213887, HS-grad, 9, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 357619, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 60, Germany, <=50K
+23, Private, 435835, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 1669, 55, United-States, <=50K
+39, Private, 165799, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 71469, Assoc-acdm, 12, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+19, Private, 229745, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+47, Private, 284916, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 7298, 0, 45, United-States, >50K
+46, Private, 28419, Assoc-voc, 11, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+47, Private, 26950, Masters, 14, Divorced, Sales, Not-in-family, White, Female, 0, 0, 6, United-States, <=50K
+47, Self-emp-not-inc, 107231, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, >50K
+52, Local-gov, 512103, Some-college, 10, Divorced, Transport-moving, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+38, Self-emp-not-inc, 245090, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+58, Private, 314153, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+32, Private, 243988, 5th-6th, 3, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+54, Self-emp-not-inc, 82551, Assoc-voc, 11, Married-civ-spouse, Tech-support, Other-relative, White, Female, 0, 0, 10, United-States, <=50K
+20, Private, 42706, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K
+25, Private, 235795, Assoc-acdm, 12, Never-married, Sales, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K
+25, Self-emp-not-inc, 108001, 9th, 5, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 15, United-States, <=50K
+36, State-gov, 112497, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 1876, 44, United-States, <=50K
+69, Self-emp-not-inc, 128206, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 30, United-States, <=50K
+28, Private, 224634, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 45, United-States, >50K
+20, Private, 362999, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+21, Private, 346693, 7th-8th, 4, Never-married, Farming-fishing, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 175759, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K
+21, Private, 99199, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 32, United-States, <=50K
+25, ?, 219987, Assoc-acdm, 12, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 13, United-States, <=50K
+39, Private, 143445, HS-grad, 9, Married-civ-spouse, Other-service, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K
+34, Private, 118710, Assoc-voc, 11, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, >50K
+33, Local-gov, 224185, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+47, Private, 118972, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K
+29, Private, 165360, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+48, Private, 38950, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 89, United-States, <=50K
+42, Self-emp-inc, 277256, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 60, United-States, >50K
+29, Private, 247151, 11th, 7, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+34, Private, 213722, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 209955, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 25, United-States, <=50K
+41, Private, 174395, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+45, Private, 138626, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 1876, 50, United-States, <=50K
+22, ?, 179973, Assoc-voc, 11, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 200207, HS-grad, 9, Divorced, Handlers-cleaners, Own-child, White, Male, 0, 0, 44, United-States, <=50K
+19, Private, 156587, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 38, United-States, <=50K
+24, Private, 33016, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 197496, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 30, ?, <=50K
+32, Private, 153588, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+52, Private, 99736, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Male, 15020, 0, 50, United-States, >50K
+36, Private, 284166, HS-grad, 9, Never-married, Sales, Unmarried, White, Male, 0, 0, 60, United-States, >50K
+18, Private, 716066, 10th, 6, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+27, Private, 188519, HS-grad, 9, Divorced, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+26, Private, 109080, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K
+52, Private, 174421, Assoc-acdm, 12, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 32, United-States, <=50K
+24, Private, 259351, Some-college, 10, Never-married, Craft-repair, Unmarried, Amer-Indian-Eskimo, Male, 0, 0, 40, Mexico, <=50K
+42, Federal-gov, 284403, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+39, Private, 85319, Prof-school, 15, Married-civ-spouse, Prof-specialty, Wife, White, Female, 7688, 0, 60, United-States, >50K
+20, ?, 201766, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+20, State-gov, 340475, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 10, United-States, <=50K
+39, Private, 487486, HS-grad, 9, Widowed, Handlers-cleaners, Unmarried, White, Male, 0, 0, 40, ?, <=50K
+68, ?, 484298, 11th, 7, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 30, United-States, <=50K
+35, Private, 170617, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 48, United-States, <=50K
+54, Private, 94055, Bachelors, 13, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 117779, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 209770, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 8, United-States, <=50K
+20, Private, 317443, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 15, United-States, <=50K
+64, ?, 140237, Preschool, 1, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 107411, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+36, Self-emp-not-inc, 122493, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 47, United-States, <=50K
+44, Self-emp-inc, 195124, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, ?, <=50K
+38, Private, 101978, Some-college, 10, Separated, Machine-op-inspct, Not-in-family, White, Male, 0, 2258, 55, United-States, >50K
+22, Private, 335453, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K
+56, Private, 318329, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 100321, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K
+24, Self-emp-not-inc, 81145, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 75, United-States, <=50K
+22, Private, 62865, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+21, Private, 176262, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+42, Private, 168103, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+41, Local-gov, 208174, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 55, United-States, <=50K
+19, Private, 188815, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 34095, 0, 20, United-States, <=50K
+67, Self-emp-not-inc, 226092, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 44, United-States, <=50K
+20, Private, 212668, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+32, Private, 381583, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Other, Male, 0, 0, 40, United-States, <=50K
+46, Private, 239439, HS-grad, 9, Separated, Machine-op-inspct, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+52, Private, 172493, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K
+44, Private, 239876, Bachelors, 13, Divorced, Prof-specialty, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K
+65, ?, 221881, 11th, 7, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+37, Local-gov, 218184, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1887, 40, United-States, >50K
+27, Self-emp-not-inc, 206889, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K
+35, Private, 110668, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female, 0, 0, 35, United-States, <=50K
+30, Private, 211028, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+64, Local-gov, 202984, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 3137, 0, 40, United-States, <=50K
+48, Private, 20296, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 37, United-States, >50K
+35, Private, 194690, 7th-8th, 4, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+28, Self-emp-not-inc, 204984, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+63, Self-emp-not-inc, 35021, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 1977, 32, China, >50K
+40, Self-emp-not-inc, 238574, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K
+33, Private, 345360, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 192381, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K
+25, Private, 479765, 7th-8th, 4, Never-married, Sales, Other-relative, White, Male, 0, 0, 45, Guatemala, <=50K
+45, Self-emp-inc, 34091, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 38, United-States, >50K
+30, Private, 151773, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K
+53, Private, 299080, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+63, Private, 135339, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 2105, 0, 40, Vietnam, <=50K
+27, Local-gov, 52156, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 60, United-States, <=50K
+31, Private, 318647, 11th, 7, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 80145, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K
+39, State-gov, 343646, Bachelors, 13, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 40, Mexico, >50K
+42, Self-emp-not-inc, 198692, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K
+19, Private, 266635, HS-grad, 9, Never-married, Other-service, Own-child, Black, Male, 0, 0, 30, United-States, <=50K
+31, Private, 197672, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+53, Private, 185846, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+47, Self-emp-not-inc, 315110, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 20, United-States, <=50K
+27, Private, 220754, Doctorate, 16, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+22, Private, 64292, HS-grad, 9, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+29, Private, 126060, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, >50K
+52, Private, 78012, HS-grad, 9, Widowed, Sales, Unmarried, White, Female, 0, 1762, 40, United-States, <=50K
+32, Private, 210562, Assoc-voc, 11, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 46, United-States, <=50K
+23, Private, 350181, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 233421, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+53, Private, 167170, HS-grad, 9, Widowed, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+18, Private, 260801, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+41, Private, 173370, Bachelors, 13, Separated, Sales, Unmarried, White, Female, 0, 0, 30, United-States, <=50K
+27, Private, 135520, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, Dominican-Republic, <=50K
+30, Private, 121308, Some-college, 10, Divorced, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+41, Private, 444743, HS-grad, 9, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+21, Private, 65225, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+58, State-gov, 136982, HS-grad, 9, Married-spouse-absent, Other-service, Unmarried, Black, Female, 0, 0, 40, Honduras, <=50K
+45, State-gov, 271962, Bachelors, 13, Divorced, Protective-serv, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+40, Private, 204046, 10th, 6, Divorced, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 225823, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+29, Private, 183009, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Other, Female, 0, 1590, 40, United-States, <=50K
+50, Private, 121038, Assoc-voc, 11, Married-civ-spouse, Other-service, Wife, Black, Female, 0, 0, 40, United-States, <=50K
+26, Private, 49092, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 148709, HS-grad, 9, Separated, Handlers-cleaners, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+27, Private, 209205, Bachelors, 13, Never-married, Tech-support, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+36, Local-gov, 285865, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+22, Federal-gov, 216129, HS-grad, 9, Never-married, Adm-clerical, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+37, Federal-gov, 40955, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, Japan, <=50K
+54, Private, 197189, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 33001, HS-grad, 9, Divorced, Farming-fishing, Unmarried, White, Male, 0, 0, 50, United-States, <=50K
+44, Private, 227399, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+38, Private, 164050, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 40, United-States, >50K
+49, Private, 259087, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+18, Private, 236262, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 12, United-States, <=50K
+26, Private, 177929, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K
+48, Private, 166929, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, ?, >50K
+32, Private, 199963, 11th, 7, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, United-States, <=50K
+35, State-gov, 98776, HS-grad, 9, Never-married, Tech-support, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 135056, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+40, Self-emp-not-inc, 55363, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 3411, 0, 40, United-States, <=50K
+42, State-gov, 102343, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 72, India, >50K
+30, Private, 231263, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+19, Private, 226913, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+36, Private, 129573, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K
+31, Private, 191001, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+50, Federal-gov, 69345, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K
+38, Private, 204556, HS-grad, 9, Divorced, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+35, Private, 192626, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+45, Private, 202812, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+29, Private, 405177, 10th, 6, Separated, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+41, Private, 227890, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 46, United-States, >50K
+33, Private, 101352, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, >50K
+49, Private, 82572, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K
+28, Private, 132686, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+49, Local-gov, 149210, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, Black, Male, 15024, 0, 40, United-States, >50K
+27, Private, 245661, HS-grad, 9, Separated, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+47, Self-emp-inc, 483596, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 2885, 0, 32, United-States, <=50K
+42, State-gov, 104663, Doctorate, 16, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, Italy, >50K
+30, Private, 347166, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+37, Local-gov, 108540, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 333305, Doctorate, 16, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 35, United-States, <=50K
+51, Private, 155408, HS-grad, 9, Married-spouse-absent, Sales, Not-in-family, Black, Female, 0, 0, 38, United-States, <=50K
+27, Federal-gov, 246372, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+53, Private, 30290, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+45, Private, 347321, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+37, Self-emp-inc, 205852, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K
+40, Federal-gov, 163215, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, ?, <=50K
+54, State-gov, 93449, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, India, >50K
+47, Self-emp-inc, 116927, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 42, United-States, >50K
+35, Private, 164526, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Yugoslavia, >50K
+33, Private, 31573, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+28, Local-gov, 125159, Some-college, 10, Never-married, Adm-clerical, Other-relative, Black, Male, 0, 0, 40, Haiti, <=50K
+39, State-gov, 201105, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 55, United-States, >50K
+25, ?, 122745, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 1602, 40, United-States, <=50K
+33, Private, 150570, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 118941, 11th, 7, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, Ireland, <=50K
+53, Private, 141388, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K
+21, Private, 174714, Assoc-acdm, 12, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+31, State-gov, 75755, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 55, United-States, >50K
+63, Private, 133144, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K
+21, Self-emp-not-inc, 318865, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+59, Private, 109638, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+50, Private, 92969, 1st-4th, 2, Separated, Prof-specialty, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+66, ?, 376028, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 20, United-States, <=50K
+19, Private, 144161, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+31, Private, 183778, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+23, Private, 398904, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, <=50K
+45, Private, 170846, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K
+35, Local-gov, 204277, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 205152, Bachelors, 13, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 225395, 7th-8th, 4, Never-married, Machine-op-inspct, Other-relative, White, Female, 0, 0, 60, Mexico, <=50K
+38, Private, 33975, HS-grad, 9, Married-civ-spouse, Exec-managerial, Other-relative, White, Male, 0, 0, 40, United-States, >50K
+49, Private, 147032, HS-grad, 9, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female, 0, 0, 8, Philippines, <=50K
+64, Private, 174826, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+60, Local-gov, 232769, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 20, United-States, <=50K
+25, Private, 36984, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+21, Private, 292264, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+26, Private, 303973, HS-grad, 9, Never-married, Priv-house-serv, Other-relative, White, Female, 0, 1602, 15, Mexico, <=50K
+23, Private, 287988, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K
+67, Self-emp-inc, 330144, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 48, United-States, >50K
+24, Private, 191948, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 30, United-States, <=50K
+46, Private, 324601, 1st-4th, 2, Separated, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, Guatemala, <=50K
+38, State-gov, 200289, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Taiwan, <=50K
+20, Private, 113307, 7th-8th, 4, Never-married, Machine-op-inspct, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+28, ?, 194087, Some-college, 10, Never-married, ?, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+26, Private, 155213, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K
+58, Private, 175127, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+31, State-gov, 358461, Some-college, 10, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K
+37, State-gov, 354929, Assoc-acdm, 12, Divorced, Protective-serv, Not-in-family, Black, Male, 0, 0, 38, United-States, <=50K
+53, State-gov, 104501, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, ?, >50K
+45, Private, 112929, 7th-8th, 4, Divorced, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 35, United-States, <=50K
+33, Private, 132832, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+33, State-gov, 357691, Masters, 14, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+35, Private, 114605, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K
+60, Self-emp-not-inc, 525878, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+21, Private, 68358, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+38, Private, 174571, 10th, 6, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 45, United-States, <=50K
+40, Private, 42703, Assoc-voc, 11, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+40, Private, 220589, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, >50K
+44, Self-emp-not-inc, 197558, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 70, United-States, >50K
+27, Private, 423250, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K
+34, Self-emp-not-inc, 29254, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, >50K
+20, ?, 308924, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 25, United-States, <=50K
+49, Local-gov, 276247, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 213841, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K
+52, Private, 181677, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 30, United-States, >50K
+46, Private, 160061, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+20, Private, 285295, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, ?, <=50K
+43, Private, 265266, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+46, Local-gov, 222115, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, White, Female, 99999, 0, 40, United-States, >50K
+25, State-gov, 194954, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 15, United-States, <=50K
+48, Private, 156926, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+36, Local-gov, 217414, Some-college, 10, Divorced, Protective-serv, Unmarried, White, Male, 0, 0, 55, United-States, <=50K
+37, Private, 538443, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 14344, 0, 40, United-States, >50K
+18, ?, 192399, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 60, United-States, <=50K
+42, Private, 383493, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+60, Private, 193235, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 24, United-States, <=50K
+37, Self-emp-inc, 99452, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 55, United-States, >50K
+44, Local-gov, 254134, Assoc-acdm, 12, Divorced, Tech-support, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+32, Private, 90446, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 116613, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, Portugal, <=50K
+42, Local-gov, 238188, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, >50K
+17, Private, 95909, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 12, United-States, <=50K
+41, Private, 82319, 12th, 8, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 10, United-States, <=50K
+34, Private, 182274, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 1887, 40, United-States, >50K
+56, Private, 179625, 10th, 6, Separated, Other-service, Unmarried, White, Female, 0, 0, 32, United-States, <=50K
+28, Private, 119793, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+28, Self-emp-not-inc, 254989, 11th, 7, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+19, Private, 104830, 7th-8th, 4, Never-married, Transport-moving, Unmarried, White, Male, 0, 0, 25, Guatemala, <=50K
+49, Federal-gov, 110373, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K
+36, Self-emp-not-inc, 135416, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 50, United-States, <=50K
+25, Private, 298225, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 35, United-States, <=50K
+42, Private, 166740, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+47, Self-emp-not-inc, 213668, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 50, United-States, >50K
+26, Private, 276624, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 226789, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 58, United-States, <=50K
+37, Private, 31023, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+39, Local-gov, 116666, HS-grad, 9, Never-married, Protective-serv, Own-child, Amer-Indian-Eskimo, Male, 4650, 0, 48, United-States, <=50K
+42, Private, 136986, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 35, United-States, >50K
+41, Private, 179580, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 36, United-States, >50K
+23, Private, 103277, Some-college, 10, Divorced, Other-service, Own-child, White, Female, 0, 0, 24, United-States, <=50K
+31, Federal-gov, 351141, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K
+36, Local-gov, 191161, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 57, United-States, >50K
+20, Private, 148709, Some-college, 10, Never-married, Prof-specialty, Unmarried, White, Female, 0, 0, 25, United-States, <=50K
+36, Private, 128382, Some-college, 10, Never-married, Machine-op-inspct, Unmarried, White, Male, 0, 0, 45, United-States, <=50K
+50, Private, 144361, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, >50K
+37, Private, 172538, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 102476, Bachelors, 13, Never-married, Farming-fishing, Own-child, White, Male, 27828, 0, 50, United-States, >50K
+39, Private, 46028, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 60, United-States, <=50K
+32, Private, 198452, HS-grad, 9, Married-civ-spouse, Farming-fishing, Wife, White, Female, 0, 0, 40, United-States, <=50K
+59, Private, 193895, Some-college, 10, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+29, Private, 233421, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 3411, 0, 45, United-States, <=50K
+50, Private, 378747, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+42, Private, 31251, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 37, United-States, <=50K
+32, Private, 71540, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+48, Private, 194772, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 1902, 40, United-States, >50K
+20, Private, 34568, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 3781, 0, 35, United-States, <=50K
+50, Self-emp-not-inc, 36480, 10th, 6, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+18, Private, 116528, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+60, Private, 52152, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+60, Private, 216690, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, ?, <=50K
+42, Local-gov, 227065, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 22, United-States, <=50K
+49, Private, 84013, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 35, United-States, <=50K
+35, Self-emp-inc, 82051, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, <=50K
+30, Self-emp-not-inc, 176185, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, Iran, <=50K
+59, Private, 115414, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+24, Self-emp-inc, 493034, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Male, 13550, 0, 50, United-States, >50K
+55, Private, 354923, Assoc-acdm, 12, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+19, Private, 393712, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+39, Private, 98941, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+48, Private, 141483, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+44, Private, 172479, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 40, United-States, >50K
+21, Private, 226145, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+23, Private, 394612, Bachelors, 13, Never-married, Tech-support, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+22, Private, 231085, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+55, Self-emp-not-inc, 183810, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K
+19, Private, 186159, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+23, Private, 162282, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K
+46, Private, 219021, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 15024, 0, 44, United-States, >50K
+23, Private, 273206, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 23, United-States, <=50K
+47, Self-emp-inc, 332355, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K
+23, Private, 102729, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+42, Private, 198096, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, >50K
+22, State-gov, 292933, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 10, United-States, <=50K
+18, Private, 135924, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+37, Private, 99146, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 50, United-States, >50K
+34, Private, 27409, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+30, Private, 299507, Assoc-acdm, 12, Separated, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+62, Self-emp-not-inc, 102631, Some-college, 10, Widowed, Farming-fishing, Unmarried, White, Female, 0, 0, 50, United-States, <=50K
+51, Private, 153486, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 434292, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 30, United-States, <=50K
+28, Self-emp-not-inc, 240172, Masters, 14, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+56, Private, 219426, 10th, 6, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+46, Private, 295791, HS-grad, 9, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+46, Private, 114032, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 1887, 45, United-States, >50K
+23, Local-gov, 496382, Some-college, 10, Married-spouse-absent, Adm-clerical, Own-child, White, Female, 0, 0, 40, Guatemala, <=50K
+33, Private, 376483, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 30, United-States, <=50K
+27, Private, 107218, HS-grad, 9, Never-married, Other-service, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K
+21, Private, 246207, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 20, United-States, <=50K
+18, ?, 80564, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 60, United-States, <=50K
+36, Private, 83089, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 7298, 0, 40, Mexico, >50K
+37, Local-gov, 328301, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K
+39, Local-gov, 301614, 11th, 7, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 199739, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 7298, 0, 60, United-States, >50K
+24, Private, 180060, Assoc-acdm, 12, Never-married, Craft-repair, Not-in-family, White, Male, 2354, 0, 40, United-States, <=50K
+26, Private, 121040, Assoc-acdm, 12, Never-married, Exec-managerial, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+37, Private, 125550, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K
+34, Private, 170772, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+33, Private, 180551, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+33, Self-emp-not-inc, 48189, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 30, United-States, <=50K
+20, Private, 432154, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 8, Mexico, <=50K
+26, Private, 263200, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 38, United-States, <=50K
+47, Private, 123207, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 20, United-States, >50K
+17, Private, 110798, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+53, Private, 238481, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1485, 40, United-States, <=50K
+31, Private, 185528, Some-college, 10, Divorced, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+34, Private, 181311, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 528616, 5th-6th, 3, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+39, Private, 272950, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K
+22, ?, 195532, HS-grad, 9, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+21, Private, 197583, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+40, Private, 48612, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K
+54, Local-gov, 31533, Masters, 14, Married-civ-spouse, Adm-clerical, Husband, White, Male, 7298, 0, 40, United-States, >50K
+32, Federal-gov, 148138, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 2002, 40, Iran, <=50K
+29, Local-gov, 30069, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 2635, 0, 40, United-States, <=50K
+68, ?, 170182, Some-college, 10, Never-married, ?, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+27, Local-gov, 230885, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 45, United-States, >50K
+54, Private, 174102, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+23, Private, 352606, HS-grad, 9, Divorced, Priv-house-serv, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+38, Private, 241153, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 48, United-States, >50K
+54, Private, 155433, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 35, United-States, <=50K
+21, Private, 109414, Some-college, 10, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Male, 0, 1974, 40, United-States, <=50K
+40, Private, 125461, Assoc-voc, 11, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K
+19, Private, 331556, 10th, 6, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+21, ?, 138575, HS-grad, 9, Never-married, ?, Other-relative, White, Male, 0, 0, 60, United-States, <=50K
+35, Private, 223514, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 40, United-States, <=50K
+39, Private, 115418, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 2174, 0, 45, United-States, <=50K
+38, Private, 193026, HS-grad, 9, Never-married, Other-service, Unmarried, White, Male, 0, 1408, 40, ?, <=50K
+41, Private, 147206, 12th, 8, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K
+26, Private, 174592, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+35, Private, 268620, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+70, Self-emp-not-inc, 150886, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 25, United-States, <=50K
+45, Private, 112362, 10th, 6, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+83, Private, 195507, HS-grad, 9, Widowed, Protective-serv, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K
+59, Private, 192983, HS-grad, 9, Separated, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+18, Private, 120544, 9th, 5, Never-married, Other-service, Own-child, Black, Male, 0, 0, 15, United-States, <=50K
+31, Private, 59083, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+43, Private, 208277, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 45, United-States, >50K
+24, Local-gov, 184678, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+33, Private, 278736, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, <=50K
+48, Local-gov, 39464, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 52, United-States, <=50K
+27, Private, 162343, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, Dominican-Republic, <=50K
+41, Private, 204046, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 255647, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 25, Mexico, <=50K
+53, Private, 123011, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+66, Self-emp-not-inc, 291362, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K
+31, Private, 159187, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+30, State-gov, 126414, Bachelors, 13, Married-spouse-absent, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 227626, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+47, Self-emp-inc, 173783, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 60, United-States, >50K
+74, Private, 211075, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+37, Private, 176756, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 1485, 70, United-States, >50K
+35, Self-emp-not-inc, 31095, Some-college, 10, Separated, Farming-fishing, Not-in-family, White, Male, 4101, 0, 60, United-States, <=50K
+51, Self-emp-not-inc, 32372, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1672, 70, United-States, <=50K
+40, Private, 331651, Some-college, 10, Separated, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+51, Local-gov, 146325, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1887, 40, United-States, >50K
+26, Private, 515025, 10th, 6, Married-civ-spouse, Handlers-cleaners, Wife, White, Female, 0, 0, 40, United-States, <=50K
+53, Private, 394474, Assoc-acdm, 12, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+32, Private, 400535, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 3781, 0, 40, United-States, <=50K
+29, Self-emp-not-inc, 337505, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, South, <=50K
+42, Private, 211860, HS-grad, 9, Separated, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 102684, Some-college, 10, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 32, United-States, <=50K
+62, ?, 225657, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 24, United-States, <=50K
+33, Private, 121966, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+21, Private, 396790, HS-grad, 9, Never-married, Transport-moving, Own-child, Black, Male, 0, 0, 20, United-States, <=50K
+46, Local-gov, 149949, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K
+25, Private, 252187, 11th, 7, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 209934, 5th-6th, 3, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+29, Federal-gov, 229300, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K
+33, Private, 170769, Doctorate, 16, Divorced, Sales, Not-in-family, White, Male, 99999, 0, 60, United-States, >50K
+50, Private, 200618, Assoc-acdm, 12, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 216984, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K
+40, Private, 212760, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 150309, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Amer-Indian-Eskimo, Male, 0, 0, 45, United-States, <=50K
+54, Private, 174655, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 109621, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+49, Private, 225124, HS-grad, 9, Widowed, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+46, Private, 172695, 11th, 7, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 27, El-Salvador, <=50K
+71, Self-emp-not-inc, 238479, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 8, United-States, <=50K
+27, Private, 37754, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 80, United-States, <=50K
+56, Private, 85018, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+64, Private, 256466, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male, 0, 0, 60, Philippines, >50K
+23, Private, 169188, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 25, United-States, <=50K
+36, Private, 210945, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+39, Local-gov, 287031, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K
+26, Private, 224361, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+31, Federal-gov, 108464, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 75826, Bachelors, 13, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+43, Private, 120277, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+25, Private, 104439, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+27, Private, 56870, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 200819, 12th, 8, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+50, Self-emp-not-inc, 170562, Assoc-acdm, 12, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 20, United-States, <=50K
+30, Private, 80933, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 33088, 11th, 7, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+41, Local-gov, 112763, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 7430, 0, 36, United-States, >50K
+29, Private, 177651, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+31, Private, 261943, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+54, Private, 169785, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, Italy, <=50K
+20, Private, 141481, 11th, 7, Married-civ-spouse, Sales, Other-relative, White, Female, 0, 0, 50, United-States, <=50K
+37, Private, 433491, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+28, Local-gov, 86615, HS-grad, 9, Never-married, Other-service, Own-child, Black, Male, 0, 0, 30, United-States, <=50K
+39, Private, 125550, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K
+46, State-gov, 421223, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+35, Private, 26999, Bachelors, 13, Separated, Exec-managerial, Unmarried, White, Female, 0, 0, 42, United-States, <=50K
+36, Self-emp-not-inc, 241998, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 99999, 0, 20, United-States, >50K
+34, ?, 133861, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 25, United-States, <=50K
+44, Private, 115323, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+34, Self-emp-inc, 23778, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+28, Self-emp-not-inc, 190836, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+38, Self-emp-inc, 159179, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K
+64, ?, 205479, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 50, United-States, >50K
+19, ?, 47713, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+35, Private, 163237, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 52, United-States, >50K
+61, Private, 202202, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+45, Private, 168837, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+36, Private, 112271, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 52537, HS-grad, 9, Never-married, Transport-moving, Unmarried, Black, Male, 0, 0, 30, United-States, <=50K
+27, Private, 38353, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K
+22, Private, 141698, 10th, 6, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 28856, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+19, Private, 175652, 11th, 7, Never-married, Other-service, Other-relative, White, Female, 0, 0, 15, United-States, <=50K
+36, Private, 213008, HS-grad, 9, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+51, Private, 196501, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 14084, 0, 50, United-States, >50K
+63, Private, 118798, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 99999, 0, 40, United-States, >50K
+51, Private, 92463, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+20, State-gov, 125165, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+42, Self-emp-not-inc, 103980, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K
+40, ?, 180362, Bachelors, 13, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+25, Private, 53903, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 179735, Assoc-voc, 11, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 50, United-States, <=50K
+41, ?, 277390, Bachelors, 13, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 30, United-States, >50K
+49, Private, 122177, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 80, United-States, <=50K
+46, Private, 188161, HS-grad, 9, Separated, Machine-op-inspct, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+32, Self-emp-not-inc, 170108, HS-grad, 9, Separated, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+28, Private, 175262, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, Mexico, <=50K
+19, ?, 204441, HS-grad, 9, Never-married, ?, Other-relative, Black, Male, 0, 0, 20, United-States, <=50K
+19, Private, 164395, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+18, Private, 115630, 11th, 7, Never-married, Adm-clerical, Own-child, Black, Male, 0, 0, 20, United-States, <=50K
+39, Private, 178815, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K
+60, Self-emp-not-inc, 168223, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+46, Local-gov, 202560, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 1408, 40, United-States, <=50K
+38, Private, 100295, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 50, Canada, >50K
+36, Private, 172256, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 44, United-States, >50K
+45, Private, 51664, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+60, State-gov, 358893, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 2339, 40, United-States, <=50K
+30, Private, 115963, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 333910, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 43, United-States, <=50K
+23, Private, 148948, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+48, State-gov, 130561, Some-college, 10, Never-married, Prof-specialty, Not-in-family, Black, Female, 0, 0, 24, United-States, <=50K
+46, Private, 428350, HS-grad, 9, Married-civ-spouse, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+43, Private, 188808, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+25, Private, 112847, HS-grad, 9, Married-civ-spouse, Transport-moving, Own-child, Other, Male, 0, 0, 40, United-States, <=50K
+50, Private, 110748, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+61, Self-emp-inc, 156653, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K
+35, Private, 196491, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+65, Local-gov, 254413, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+56, Private, 91262, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male, 0, 0, 45, United-States, <=50K
+43, Self-emp-not-inc, 154785, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Wife, Asian-Pac-Islander, Female, 0, 0, 80, Thailand, <=50K
+55, Private, 84231, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K
+22, Private, 226327, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+40, Private, 248406, Some-college, 10, Divorced, Machine-op-inspct, Own-child, White, Male, 0, 0, 32, United-States, <=50K
+35, Private, 54317, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 1672, 50, United-States, <=50K
+22, ?, 32732, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 50, United-States, <=50K
+20, Private, 95918, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+46, Local-gov, 375675, 12th, 8, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 35, United-States, >50K
+43, Private, 244172, HS-grad, 9, Separated, Transport-moving, Unmarried, White, Male, 0, 0, 40, Mexico, <=50K
+46, Federal-gov, 233555, HS-grad, 9, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, ?, <=50K
+39, Private, 326342, 11th, 7, Married-civ-spouse, Other-service, Husband, Black, Male, 2635, 0, 37, United-States, <=50K
+34, Private, 77271, HS-grad, 9, Never-married, Exec-managerial, Unmarried, White, Female, 0, 0, 20, England, <=50K
+35, Private, 33397, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+30, Private, 446358, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Male, 0, 0, 41, United-States, <=50K
+25, Private, 151810, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 28, United-States, <=50K
+44, Private, 125461, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 35, United-States, >50K
+35, Private, 133906, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+41, Private, 155106, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+43, Federal-gov, 203637, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 7298, 0, 40, United-States, >50K
+32, Private, 232766, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+50, Private, 305319, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 121023, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+29, Private, 198997, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 20, United-States, <=50K
+38, Private, 167140, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 70, United-States, >50K
+20, Private, 38772, 10th, 6, Never-married, Handlers-cleaners, Unmarried, White, Male, 0, 0, 50, United-States, <=50K
+41, Private, 253759, HS-grad, 9, Never-married, Sales, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+27, Private, 130067, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 65, United-States, <=50K
+37, Private, 203828, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+62, State-gov, 221558, Masters, 14, Separated, Prof-specialty, Unmarried, White, Female, 0, 0, 24, ?, <=50K
+31, Private, 156464, 10th, 6, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+49, Private, 72333, Some-college, 10, Divorced, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K
+33, Local-gov, 83671, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Black, Female, 0, 0, 50, United-States, <=50K
+31, Private, 339482, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1848, 40, United-States, >50K
+19, Private, 91928, Some-college, 10, Never-married, Other-service, Other-relative, White, Female, 0, 0, 35, United-States, <=50K
+44, Private, 99203, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+31, Self-emp-inc, 455995, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 65, United-States, >50K
+62, Private, 192515, HS-grad, 9, Widowed, Farming-fishing, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+65, Self-emp-not-inc, 111483, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2174, 10, United-States, >50K
+17, Private, 221129, 9th, 5, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+60, Private, 85413, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 44, United-States, >50K
+31, Private, 196125, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 265638, Some-college, 10, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+53, Private, 177727, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K
+44, Private, 205822, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+43, Private, 112607, 11th, 7, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K
+40, Federal-gov, 177595, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1579, 40, United-States, <=50K
+18, Private, 183315, 11th, 7, Never-married, Sales, Own-child, Black, Female, 0, 0, 10, United-States, <=50K
+47, Private, 116279, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 43, United-States, <=50K
+38, Federal-gov, 122493, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 4064, 0, 40, United-States, <=50K
+37, Private, 215419, Assoc-acdm, 12, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 25, United-States, <=50K
+40, Private, 310101, Some-college, 10, Separated, Sales, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K
+57, Self-emp-inc, 61885, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 60, United-States, >50K
+43, Private, 59107, HS-grad, 9, Separated, Other-service, Not-in-family, White, Female, 4101, 0, 40, United-States, <=50K
+32, Private, 227214, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Other, Male, 0, 0, 40, Ecuador, <=50K
+64, Private, 239450, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+18, Private, 118847, 12th, 8, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+40, Self-emp-not-inc, 95226, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+17, ?, 659273, 11th, 7, Never-married, ?, Own-child, Black, Female, 0, 0, 40, Trinadad&Tobago, <=50K
+23, Private, 215395, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+45, Private, 170600, Assoc-voc, 11, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+45, Self-emp-not-inc, 91044, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K
+27, Private, 318639, 10th, 6, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 60, Mexico, <=50K
+23, Private, 160398, Some-college, 10, Married-spouse-absent, Handlers-cleaners, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+58, Self-emp-not-inc, 216824, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, Asian-Pac-Islander, Male, 0, 0, 30, United-States, <=50K
+35, Private, 308945, HS-grad, 9, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 75, United-States, <=50K
+47, Private, 30840, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+33, Private, 99309, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K
+27, Private, 188576, Bachelors, 13, Separated, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, >50K
+46, Private, 83064, Assoc-acdm, 12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K
+24, Private, 403865, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 56, United-States, <=50K
+40, Private, 235786, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 44, United-States, >50K
+44, Private, 191893, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 24, United-States, <=50K
+31, Local-gov, 149184, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 97, United-States, >50K
+37, Private, 152909, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 7688, 0, 40, United-States, >50K
+23, Private, 435604, Assoc-voc, 11, Separated, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+30, Self-emp-inc, 109282, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 52, United-States, >50K
+31, Private, 248178, Some-college, 10, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 35, United-States, <=50K
+24, ?, 112683, HS-grad, 9, Never-married, ?, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K
+32, Private, 209103, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 3464, 0, 40, United-States, <=50K
+27, Private, 183639, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+35, Local-gov, 107233, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Amer-Indian-Eskimo, Male, 0, 0, 55, United-States, <=50K
+27, Private, 175387, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 1876, 40, United-States, <=50K
+30, Self-emp-not-inc, 178255, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 70, ?, <=50K
+33, Self-emp-not-inc, 38223, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 70, United-States, <=50K
+34, Private, 228873, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K
+29, Private, 202182, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+26, Local-gov, 425092, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 2174, 0, 40, United-States, <=50K
+39, Self-emp-not-inc, 152587, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+37, Self-emp-inc, 39089, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 3103, 0, 50, United-States, >50K
+51, Private, 204304, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, >50K
+40, Private, 116103, Some-college, 10, Separated, Craft-repair, Unmarried, White, Male, 4934, 0, 47, United-States, >50K
+53, Private, 290640, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Vietnam, <=50K
+58, Federal-gov, 81973, Some-college, 10, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male, 0, 1485, 40, United-States, >50K
+29, Private, 134890, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K
+33, Private, 452924, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male, 0, 0, 40, Mexico, <=50K
+57, Private, 245193, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K
+69, State-gov, 34339, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 184756, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 12, United-States, <=50K
+56, Private, 392160, HS-grad, 9, Widowed, Sales, Unmarried, White, Female, 0, 0, 25, Mexico, <=50K
+49, Private, 168337, 5th-6th, 3, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 309513, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+70, Private, 77219, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 37, United-States, <=50K
+44, Private, 212888, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 45, United-States, <=50K
+37, Private, 361888, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 10520, 0, 40, United-States, >50K
+58, Local-gov, 237879, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 58, United-States, <=50K
+42, Self-emp-not-inc, 93099, Some-college, 10, Married-civ-spouse, Prof-specialty, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+41, Private, 225193, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 50814, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+47, Local-gov, 123681, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 60, United-States, >50K
+24, Private, 249351, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, United-States, <=50K
+58, Self-emp-not-inc, 222311, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 7688, 0, 55, United-States, >50K
+18, Private, 301762, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+50, Private, 195298, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+69, Private, 541737, Some-college, 10, Widowed, Adm-clerical, Not-in-family, White, Female, 2050, 0, 24, United-States, <=50K
+84, Private, 241065, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 66, United-States, <=50K
+47, Private, 129513, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K
+19, Private, 374262, 12th, 8, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+24, Private, 382146, Some-college, 10, Never-married, Prof-specialty, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+48, ?, 185291, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 6, United-States, <=50K
+53, Private, 30447, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+58, Private, 49893, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K
+22, Private, 197387, Some-college, 10, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 24, Mexico, <=50K
+36, Self-emp-not-inc, 111957, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 52, United-States, <=50K
+34, Private, 340458, 12th, 8, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+43, Private, 185670, 1st-4th, 2, Widowed, Prof-specialty, Unmarried, White, Female, 0, 0, 21, Mexico, <=50K
+37, Private, 210945, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 24, United-States, <=50K
+43, Private, 350661, Prof-school, 15, Separated, Tech-support, Not-in-family, White, Male, 0, 0, 50, Columbia, >50K
+42, Private, 190543, Some-college, 10, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 40, United-States, >50K
+21, Private, 70261, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+49, Self-emp-not-inc, 179048, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, Greece, <=50K
+35, Private, 242094, HS-grad, 9, Married-civ-spouse, Other-service, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K
+49, Self-emp-not-inc, 117634, Some-college, 10, Widowed, Craft-repair, Unmarried, White, Female, 0, 0, 30, United-States, <=50K
+28, Private, 82531, Some-college, 10, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+51, Private, 193374, 1st-4th, 2, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+30, ?, 186420, Bachelors, 13, Never-married, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+19, Private, 323605, 7th-8th, 4, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 60, United-States, >50K
+56, Private, 371064, 9th, 5, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 39927, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 8, United-States, <=50K
+22, Private, 64292, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 37, United-States, <=50K
+33, Private, 198660, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 99999, 0, 56, United-States, >50K
+54, ?, 196975, HS-grad, 9, Divorced, ?, Other-relative, White, Male, 0, 0, 45, United-States, <=50K
+22, Private, 210165, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+68, Private, 144137, Some-college, 10, Divorced, Priv-house-serv, Other-relative, White, Female, 0, 0, 30, United-States, <=50K
+56, Local-gov, 155657, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+23, ?, 72953, HS-grad, 9, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+69, Self-emp-not-inc, 107548, 9th, 5, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+41, Private, 163258, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 221324, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+18, Private, 444822, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 8, Mexico, <=50K
+17, Private, 154398, 11th, 7, Never-married, Other-service, Own-child, Black, Male, 0, 0, 16, Haiti, <=50K
+31, Private, 120672, 11th, 7, Divorced, Handlers-cleaners, Other-relative, Black, Male, 0, 1721, 40, United-States, <=50K
+50, Private, 159650, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 60, United-States, >50K
+62, Private, 290754, 10th, 6, Widowed, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+41, Private, 49654, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 52, United-States, <=50K
+20, Federal-gov, 147352, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+23, Private, 227943, Assoc-acdm, 12, Never-married, Sales, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+18, Private, 423024, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K
+53, ?, 64322, 7th-8th, 4, Separated, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+42, Private, 445940, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+23, Private, 230824, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+43, Private, 48882, HS-grad, 9, Divorced, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+47, Private, 168195, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K
+53, Local-gov, 188644, 5th-6th, 3, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+28, Private, 136077, 10th, 6, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+28, State-gov, 119793, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K
+44, Private, 336513, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K
+58, Private, 186991, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+25, ?, 218948, 7th-8th, 4, Never-married, ?, Not-in-family, White, Female, 0, 0, 32, Mexico, <=50K
+26, Private, 211435, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+36, Self-emp-not-inc, 280169, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 3456, 0, 8, United-States, <=50K
+27, Private, 109997, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+39, Private, 286789, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+25, Private, 102460, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+17, Private, 287160, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+39, Private, 198097, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+52, Private, 119111, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 174461, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+26, Self-emp-not-inc, 281678, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 55, United-States, <=50K
+24, ?, 377725, Bachelors, 13, Never-married, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+32, Private, 151053, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K
+49, Local-gov, 186539, Masters, 14, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K
+20, ?, 149478, Some-college, 10, Never-married, ?, Other-relative, White, Female, 0, 0, 25, United-States, <=50K
+40, Private, 198452, 11th, 7, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K
+52, Private, 198863, Prof-school, 15, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 2559, 60, United-States, >50K
+33, Private, 176711, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+19, Private, 165310, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Other-relative, White, Male, 0, 0, 20, United-States, <=50K
+37, Private, 213008, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, Japan, <=50K
+21, State-gov, 38251, Some-college, 10, Never-married, Tech-support, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+33, Private, 125761, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 36, United-States, <=50K
+28, Private, 148645, Assoc-acdm, 12, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+48, Private, 273435, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1579, 40, United-States, <=50K
+43, Private, 208613, Bachelors, 13, Separated, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 192565, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 183885, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+47, Self-emp-not-inc, 243631, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, South, <=50K
+37, Private, 191754, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, >50K
+26, Private, 261278, Some-college, 10, Separated, Sales, Other-relative, Black, Male, 0, 0, 30, United-States, <=50K
+55, Private, 127014, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 60, United-States, <=50K
+40, Private, 197919, Assoc-acdm, 12, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+31, Private, 217460, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+39, Private, 86551, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, >50K
+54, Self-emp-inc, 98051, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 54, United-States, >50K
+38, Private, 215917, Some-college, 10, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K
+53, Self-emp-not-inc, 192982, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 85, United-States, <=50K
+27, Self-emp-not-inc, 334132, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 78, United-States, <=50K
+42, Private, 136986, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+62, Private, 116812, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+47, Private, 189123, 11th, 7, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 1485, 58, United-States, <=50K
+26, Private, 89648, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+33, ?, 190027, HS-grad, 9, Never-married, ?, Unmarried, Black, Female, 0, 0, 20, United-States, <=50K
+59, Private, 99248, Some-college, 10, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+42, Private, 57600, HS-grad, 9, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+25, Private, 199224, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K
+58, Private, 140363, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 36, United-States, <=50K
+30, Private, 308812, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K
+21, Private, 275421, Some-college, 10, Never-married, Craft-repair, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+61, Private, 213321, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 157747, Assoc-acdm, 12, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+51, Private, 182314, Masters, 14, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K
+70, Private, 220589, Some-college, 10, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 12, United-States, <=50K
+55, ?, 208640, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 30, United-States, >50K
+29, Self-emp-not-inc, 189346, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 2202, 0, 50, United-States, <=50K
+46, Private, 124071, Masters, 14, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 44, United-States, <=50K
+35, Federal-gov, 20469, Some-college, 10, Divorced, Exec-managerial, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K
+31, Private, 154227, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 43, United-States, >50K
+37, Private, 105044, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 42, United-States, >50K
+43, Private, 35910, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 43, United-States, >50K
+23, Private, 189203, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+41, Private, 116493, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 13550, 0, 44, United-States, >50K
+42, Local-gov, 19700, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 50, United-States, >50K
+26, Private, 48718, 10th, 6, Never-married, Adm-clerical, Not-in-family, White, Female, 2907, 0, 40, United-States, <=50K
+45, Private, 106113, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+25, Private, 256263, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+33, ?, 202498, 7th-8th, 4, Separated, ?, Not-in-family, White, Male, 0, 0, 40, Guatemala, <=50K
+38, Private, 120074, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, >50K
+28, Private, 122922, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+68, Self-emp-not-inc, 116903, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2149, 40, United-States, <=50K
+42, Local-gov, 222596, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+35, Private, 107302, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, India, <=50K
+36, Private, 156400, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+33, Private, 53373, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K
+22, Private, 58916, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+45, Local-gov, 167159, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 50, United-States, >50K
+24, Private, 283806, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+57, Private, 140426, 1st-4th, 2, Married-spouse-absent, Other-service, Not-in-family, White, Male, 0, 0, 35, ?, <=50K
+36, Local-gov, 61778, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 40, United-States, >50K
+41, Private, 33310, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+26, Self-emp-not-inc, 202560, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+25, Self-emp-not-inc, 60828, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Female, 0, 0, 50, United-States, <=50K
+53, State-gov, 153486, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K
+28, Local-gov, 167536, Assoc-acdm, 12, Widowed, Prof-specialty, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+30, Local-gov, 370990, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+38, Self-emp-not-inc, 198867, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+37, Local-gov, 174924, Some-college, 10, Divorced, Protective-serv, Unmarried, White, Male, 0, 0, 48, Germany, <=50K
+30, Private, 175856, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 38, United-States, <=50K
+41, Private, 169628, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female, 0, 0, 40, ?, <=50K
+29, ?, 125159, Some-college, 10, Never-married, ?, Not-in-family, Black, Male, 0, 0, 36, ?, <=50K
+31, Private, 220690, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 80, United-States, <=50K
+36, Private, 160035, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 3908, 0, 55, United-States, <=50K
+59, Self-emp-not-inc, 116878, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, Greece, <=50K
+33, Self-emp-not-inc, 134737, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K
+29, Private, 81648, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 1887, 55, United-States, >50K
+49, State-gov, 122177, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K
+50, Federal-gov, 69614, 10th, 6, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 56, United-States, <=50K
+33, Private, 112115, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 45, United-States, >50K
+28, Private, 299422, 7th-8th, 4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+81, ?, 162882, HS-grad, 9, Divorced, ?, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+24, Private, 112854, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 16, United-States, <=50K
+32, Self-emp-not-inc, 33417, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+47, Federal-gov, 224559, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, >50K
+44, ?, 468706, HS-grad, 9, Married-civ-spouse, ?, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+24, Private, 357028, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+37, Local-gov, 51158, Some-college, 10, Married-civ-spouse, Tech-support, Wife, White, Female, 7298, 0, 36, United-States, >50K
+51, Private, 186303, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+52, Private, 127749, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K
+22, Private, 291386, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+28, Private, 138054, Assoc-acdm, 12, Never-married, Other-service, Not-in-family, Other, Male, 0, 0, 40, United-States, <=50K
+47, Self-emp-not-inc, 174533, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+43, Private, 200835, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 108658, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+43, Private, 180985, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, >50K
+25, Private, 34803, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+59, Private, 75867, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K
+29, Private, 156819, Assoc-acdm, 12, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 35, United-States, <=50K
+30, Private, 61272, 9th, 5, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, Portugal, <=50K
+24, Private, 39827, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Wife, Other, Female, 0, 0, 40, Puerto-Rico, <=50K
+38, Private, 130007, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+37, Self-emp-not-inc, 80324, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K
+26, Private, 322614, Preschool, 1, Married-spouse-absent, Machine-op-inspct, Not-in-family, White, Male, 0, 1719, 40, Mexico, <=50K
+30, Private, 140869, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+73, Local-gov, 181902, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 10, Poland, >50K
+30, Private, 287908, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+33, Private, 309630, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+46, Private, 28225, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 58, United-States, <=50K
+40, ?, 428584, HS-grad, 9, Married-civ-spouse, ?, Wife, Black, Female, 3464, 0, 20, United-States, <=50K
+18, Private, 39222, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 359131, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 7298, 0, 8, ?, >50K
+22, Private, 122272, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+50, Self-emp-inc, 198400, HS-grad, 9, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 60, United-States, <=50K
+62, ?, 73091, 7th-8th, 4, Widowed, ?, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+39, Self-emp-inc, 283338, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 40, United-States, >50K
+22, Private, 208946, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 348416, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+31, Private, 379046, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, Vietnam, <=50K
+29, Private, 183887, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+38, Self-emp-not-inc, 127961, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, >50K
+24, Private, 211129, Bachelors, 13, Never-married, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+29, Local-gov, 187649, HS-grad, 9, Separated, Protective-serv, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+49, Federal-gov, 94754, Masters, 14, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+33, Private, 231826, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+28, Private, 142764, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K
+22, Private, 126822, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 60, United-States, <=50K
+37, Private, 188069, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 284395, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+49, Private, 31267, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 161444, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, Columbia, <=50K
+25, Private, 144483, HS-grad, 9, Separated, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+36, Private, 133655, HS-grad, 9, Married-spouse-absent, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+36, State-gov, 112074, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+21, Private, 249727, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 22, United-States, <=50K
+18, Private, 165754, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+30, Local-gov, 172822, Assoc-voc, 11, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+44, Private, 288433, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+40, Private, 33331, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K
+43, Private, 168071, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 44, United-States, <=50K
+45, Private, 207277, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+29, Private, 130620, Some-college, 10, Married-spouse-absent, Sales, Own-child, Asian-Pac-Islander, Female, 0, 0, 26, India, <=50K
+40, Private, 136244, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K
+43, Private, 972354, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 48, United-States, <=50K
+20, Private, 245297, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+32, State-gov, 71151, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 20, United-States, <=50K
+19, Private, 118352, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 16, United-States, <=50K
+21, Private, 117210, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 120068, Assoc-voc, 11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 48343, 11th, 7, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+52, Private, 84451, Assoc-voc, 11, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 32, United-States, <=50K
+51, ?, 76437, Some-college, 10, Divorced, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+19, Private, 281704, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+54, Private, 123011, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K
+50, Private, 104729, HS-grad, 9, Divorced, Machine-op-inspct, Other-relative, White, Female, 0, 0, 48, United-States, <=50K
+29, Private, 110134, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+17, Private, 186067, 10th, 6, Never-married, Tech-support, Own-child, White, Male, 0, 0, 10, United-States, <=50K
+47, Private, 214702, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 37, Puerto-Rico, <=50K
+46, Private, 384795, Bachelors, 13, Divorced, Prof-specialty, Unmarried, Black, Female, 0, 0, 32, United-States, <=50K
+30, Private, 175931, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 44, United-States, <=50K
+58, Private, 366324, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 30, United-States, <=50K
+48, Private, 118717, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+23, Private, 219835, Some-college, 10, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 40, Mexico, <=50K
+23, Private, 176486, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 36, United-States, <=50K
+45, Private, 273435, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 182661, Some-college, 10, Never-married, Sales, Own-child, Black, Male, 0, 0, 20, United-States, <=50K
+26, Private, 212304, 7th-8th, 4, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 48, United-States, <=50K
+50, Local-gov, 133963, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, >50K
+49, Private, 165152, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 48, United-States, >50K
+26, Private, 274724, Some-college, 10, Never-married, Other-service, Other-relative, White, Male, 0, 0, 40, Nicaragua, <=50K
+47, Private, 196707, Prof-school, 15, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 213002, 12th, 8, Never-married, Sales, Not-in-family, White, Male, 4650, 0, 50, United-States, <=50K
+19, ?, 26620, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+23, Private, 361481, 10th, 6, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, ?, <=50K
+35, Private, 148581, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1740, 40, United-States, <=50K
+46, Private, 459189, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1902, 50, United-States, >50K
+28, Self-emp-not-inc, 214689, 11th, 7, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+58, Private, 289364, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 45, United-States, >50K
+21, Private, 174907, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+50, Self-emp-not-inc, 348099, 10th, 6, Divorced, Sales, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+30, ?, 104965, 9th, 5, Never-married, ?, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+31, Private, 31600, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+31, Self-emp-not-inc, 286282, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 20, United-States, <=50K
+35, Self-emp-not-inc, 181705, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 3103, 0, 40, United-States, >50K
+33, Private, 238912, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K
+34, Private, 134737, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 55, United-States, >50K
+67, ?, 157403, Prof-school, 15, Married-civ-spouse, ?, Husband, White, Male, 6418, 0, 10, United-States, >50K
+37, Private, 197429, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 45, United-States, >50K
+48, Private, 47343, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+34, Federal-gov, 67083, Bachelors, 13, Never-married, Exec-managerial, Unmarried, Asian-Pac-Islander, Male, 1471, 0, 40, Cambodia, <=50K
+24, Private, 249957, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+55, Private, 175942, HS-grad, 9, Divorced, Priv-house-serv, Not-in-family, White, Female, 0, 0, 40, France, <=50K
+50, Private, 192982, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 1848, 40, United-States, >50K
+40, Private, 209547, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1977, 60, United-States, >50K
+33, Private, 142675, Bachelors, 13, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+51, Federal-gov, 190333, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 196396, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+41, Private, 166740, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+47, Local-gov, 174533, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+27, Private, 210867, 7th-8th, 4, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 50, ?, <=50K
+37, Private, 118486, Bachelors, 13, Separated, Prof-specialty, Unmarried, White, Female, 4934, 0, 32, United-States, >50K
+40, Private, 144067, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 106964, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 178136, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+38, Private, 196554, Prof-school, 15, Separated, Prof-specialty, Not-in-family, White, Male, 0, 0, 35, United-States, >50K
+40, Self-emp-not-inc, 403550, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+35, Private, 498216, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+47, Self-emp-not-inc, 192755, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 20, United-States, >50K
+20, ?, 53738, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 60, United-States, <=50K
+33, Private, 156192, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K
+45, Private, 189802, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+66, ?, 213149, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 1825, 40, United-States, >50K
+35, Self-emp-not-inc, 179171, HS-grad, 9, Never-married, Sales, Unmarried, Black, Female, 0, 0, 38, Germany, <=50K
+32, Private, 77634, 11th, 7, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, <=50K
+23, Private, 189830, Some-college, 10, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 50, United-States, <=50K
+19, Private, 127190, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+44, ?, 174147, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 138107, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 35, United-States, <=50K
+44, Self-emp-inc, 269733, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 30, United-States, <=50K
+41, State-gov, 227734, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 3464, 0, 40, United-States, <=50K
+19, Private, 318822, Some-college, 10, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+48, Private, 48885, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+45, Private, 205424, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 65, United-States, >50K
+40, Private, 173858, 7th-8th, 4, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 42, Cambodia, <=50K
+34, Private, 202450, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, >50K
+20, Private, 154779, Some-college, 10, Never-married, Sales, Other-relative, Other, Female, 0, 0, 40, United-States, <=50K
+33, Private, 180551, Some-college, 10, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+30, Private, 177522, HS-grad, 9, Married-civ-spouse, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+23, Private, 277328, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 32, Cuba, <=50K
+34, Private, 112584, 10th, 6, Divorced, Other-service, Unmarried, White, Female, 0, 0, 38, United-States, <=50K
+48, State-gov, 85384, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+32, ?, 123971, 11th, 7, Divorced, ?, Not-in-family, White, Female, 0, 0, 49, United-States, <=50K
+42, Private, 69019, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, >50K
+22, Private, 112847, HS-grad, 9, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K
+60, Self-emp-not-inc, 52900, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 42, United-States, >50K
+42, Private, 37937, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K
+45, Private, 59380, Bachelors, 13, Separated, Exec-managerial, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K
+47, Private, 114770, HS-grad, 9, Divorced, Other-service, Own-child, White, Female, 0, 0, 32, United-States, <=50K
+29, Private, 216481, Masters, 14, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K
+34, Private, 176469, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K
+34, Private, 176831, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, >50K
+39, Federal-gov, 410034, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 93662, Some-college, 10, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 24, United-States, <=50K
+42, Self-emp-inc, 144236, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+48, Private, 240917, 11th, 7, Separated, Other-service, Not-in-family, Black, Female, 0, 0, 35, United-States, <=50K
+53, Private, 608184, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 1902, 40, United-States, >50K
+51, Private, 243361, Some-college, 10, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 45, United-States, <=50K
+44, Self-emp-not-inc, 35166, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 90, United-States, <=50K
+46, Self-emp-inc, 182655, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K
+51, Private, 142717, Doctorate, 16, Divorced, Craft-repair, Not-in-family, White, Female, 4787, 0, 60, United-States, >50K
+32, Private, 272944, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+22, ?, 219233, HS-grad, 9, Never-married, ?, Own-child, Black, Male, 0, 1602, 30, United-States, <=50K
+24, Private, 228686, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+33, Private, 236818, Assoc-voc, 11, Never-married, Prof-specialty, Unmarried, Black, Female, 0, 0, 26, United-States, <=50K
+47, Self-emp-not-inc, 117865, HS-grad, 9, Married-AF-spouse, Craft-repair, Husband, White, Male, 0, 0, 90, United-States, <=50K
+64, Self-emp-not-inc, 106538, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+62, Private, 153891, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+52, Private, 190909, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+39, Private, 191002, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, Poland, <=50K
+42, Private, 89073, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 48, United-States, <=50K
+38, Federal-gov, 238342, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 42, United-States, >50K
+55, Private, 259532, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K
+29, ?, 189282, HS-grad, 9, Married-civ-spouse, ?, Not-in-family, White, Female, 0, 0, 27, United-States, <=50K
+42, Private, 132481, Assoc-acdm, 12, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K
+30, Private, 205659, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 50, Thailand, >50K
+32, Private, 182323, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+36, ?, 216256, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 3464, 0, 30, United-States, <=50K
+50, Federal-gov, 166419, 11th, 7, Never-married, Sales, Not-in-family, Black, Female, 3674, 0, 40, United-States, <=50K
+27, Private, 152246, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K
+47, Private, 155659, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K
+33, Private, 155198, 9th, 5, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+48, Self-emp-not-inc, 100931, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 162945, 7th-8th, 4, Never-married, Other-service, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+31, Federal-gov, 334346, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+26, Private, 181597, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+61, Self-emp-not-inc, 133969, HS-grad, 9, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 63, South, <=50K
+50, Private, 210217, Bachelors, 13, Divorced, Sales, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K
+49, Private, 169711, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, Germany, >50K
+57, ?, 300104, 5th-6th, 3, Married-civ-spouse, ?, Husband, White, Male, 7298, 0, 84, United-States, >50K
+19, Private, 271521, HS-grad, 9, Never-married, Other-service, Other-relative, Asian-Pac-Islander, Male, 0, 0, 24, United-States, <=50K
+18, Private, 51255, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 15, United-States, <=50K
+44, Self-emp-not-inc, 26669, Assoc-acdm, 12, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 99, United-States, <=50K
+54, Private, 194580, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K
+35, State-gov, 177974, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K
+27, State-gov, 315640, Masters, 14, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 20, China, <=50K
+50, Self-emp-inc, 136913, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K
+43, State-gov, 230961, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 167062, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+47, Private, 120131, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 243368, Preschool, 1, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 50, Mexico, <=50K
+30, Private, 171876, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+19, Private, 136866, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 45, United-States, <=50K
+40, Private, 316820, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 1485, 40, United-States, <=50K
+55, Private, 185459, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+67, ?, 81761, HS-grad, 9, Divorced, ?, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+31, Private, 43716, Assoc-voc, 11, Divorced, Machine-op-inspct, Unmarried, White, Male, 0, 0, 43, United-States, <=50K
+30, Private, 220939, Assoc-voc, 11, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+54, ?, 148657, Preschool, 1, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 40, Mexico, <=50K
+51, Federal-gov, 40808, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 43, United-States, <=50K
+34, Private, 183473, HS-grad, 9, Divorced, Transport-moving, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+59, Private, 108496, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+50, Private, 204838, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 38, United-States, <=50K
+29, Private, 132686, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+17, State-gov, 117906, 10th, 6, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 304386, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+52, ?, 248113, Preschool, 1, Married-spouse-absent, ?, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K
+39, Private, 165215, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1902, 18, United-States, >50K
+18, ?, 215463, 12th, 8, Never-married, ?, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+32, Private, 259719, Some-college, 10, Divorced, Handlers-cleaners, Unmarried, Black, Male, 0, 0, 40, Nicaragua, <=50K
+25, ?, 35829, Some-college, 10, Divorced, ?, Unmarried, White, Female, 0, 0, 50, United-States, <=50K
+34, Private, 248795, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+44, Self-emp-not-inc, 124692, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 40, United-States, >50K
+37, Local-gov, 128054, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+39, Private, 179731, Masters, 14, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 2415, 65, United-States, >50K
+32, Self-emp-inc, 113543, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+23, Private, 252153, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 28, United-States, <=50K
+45, Federal-gov, 45891, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Male, 0, 0, 42, United-States, <=50K
+30, Private, 112263, 11th, 7, Divorced, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 47791, 12th, 8, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 10, United-States, <=50K
+41, Private, 202980, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 4, Peru, <=50K
+21, Private, 34918, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+48, Private, 91251, 7th-8th, 4, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 30, China, <=50K
+31, Private, 132996, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 5178, 0, 45, United-States, >50K
+34, Private, 306215, Assoc-voc, 11, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+25, Private, 203570, HS-grad, 9, Separated, Other-service, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K
+41, Self-emp-not-inc, 355918, Bachelors, 13, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+35, Self-emp-not-inc, 198841, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+42, Private, 282964, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+34, Self-emp-not-inc, 312197, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 75, Mexico, >50K
+44, Private, 98779, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 4386, 0, 60, United-States, <=50K
+32, Private, 200246, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+25, Private, 182771, Some-college, 10, Never-married, Sales, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K
+23, Private, 199908, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K
+36, Private, 172104, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, Other, Male, 0, 0, 40, India, >50K
+53, Self-emp-not-inc, 35295, Bachelors, 13, Never-married, Sales, Unmarried, White, Male, 0, 0, 60, United-States, >50K
+27, Private, 216858, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 52, United-States, <=50K
+27, Private, 332187, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 65, United-States, <=50K
+57, Private, 255109, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+17, Private, 111332, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+59, Local-gov, 238431, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 38, United-States, <=50K
+34, Private, 131552, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+30, Private, 110239, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 55, United-States, <=50K
+31, State-gov, 255830, Assoc-acdm, 12, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 45, United-States, <=50K
+18, ?, 175648, 11th, 7, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 82998, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+19, Private, 164320, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+20, Self-emp-not-inc, 263498, Assoc-voc, 11, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+52, Self-emp-not-inc, 162381, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+39, Local-gov, 229651, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+27, Private, 357348, HS-grad, 9, Separated, Other-service, Unmarried, White, Female, 0, 0, 50, United-States, <=50K
+19, Private, 269657, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+38, Local-gov, 82880, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 15, United-States, <=50K
+19, Private, 389755, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 16, United-States, <=50K
+34, Private, 195136, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1887, 40, United-States, >50K
+41, Private, 207685, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, ?, <=50K
+23, Private, 222925, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Own-child, White, Female, 2105, 0, 40, United-States, <=50K
+24, ?, 196388, Assoc-acdm, 12, Never-married, ?, Not-in-family, White, Male, 0, 0, 12, United-States, <=50K
+24, Private, 50341, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+22, Private, 214134, 10th, 6, Never-married, Transport-moving, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 84, United-States, <=50K
+45, Private, 114032, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K
+45, Private, 192053, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K
+48, Private, 240231, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Japan, >50K
+42, Private, 44402, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K
+35, Self-emp-not-inc, 191503, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K
+32, Private, 163530, HS-grad, 9, Divorced, Other-service, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K
+51, Local-gov, 136823, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 32, United-States, <=50K
+59, Private, 121912, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+31, Local-gov, 58624, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+27, Local-gov, 74056, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+29, Private, 144259, Bachelors, 13, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 4386, 0, 80, ?, >50K
+57, Private, 182028, Assoc-acdm, 12, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+40, Private, 209040, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 206046, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 182494, 7th-8th, 4, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+42, Private, 185057, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 35, Scotland, <=50K
+60, Private, 147473, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+53, Local-gov, 221722, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 14344, 0, 50, United-States, >50K
+20, ?, 388811, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+27, Private, 221912, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 48189, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K
+29, State-gov, 382272, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 48347, Bachelors, 13, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+42, Private, 143046, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 1564, 38, United-States, >50K
+63, Self-emp-inc, 137940, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 50, United-States, >50K
+28, Private, 249571, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+79, Private, 121318, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 20, United-States, <=50K
+39, Private, 224531, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 40, United-States, >50K
+29, Private, 185019, 12th, 8, Never-married, Other-service, Not-in-family, Other, Male, 0, 0, 40, United-States, <=50K
+60, Private, 27886, 7th-8th, 4, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+58, Private, 94741, 12th, 8, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 24, United-States, <=50K
+20, Private, 107801, Assoc-acdm, 12, Never-married, Other-service, Own-child, White, Female, 0, 2205, 18, United-States, <=50K
+44, Private, 191256, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 65, United-States, >50K
+47, Private, 256866, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 48, United-States, <=50K
+59, Private, 197148, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 24, United-States, >50K
+37, Private, 312271, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K
+21, Private, 118657, HS-grad, 9, Separated, Machine-op-inspct, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+68, Private, 224338, Assoc-voc, 11, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+43, Private, 242488, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 5013, 0, 40, United-States, <=50K
+23, ?, 234970, Some-college, 10, Never-married, ?, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+23, Private, 227915, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Female, 0, 0, 33, United-States, <=50K
+40, Local-gov, 105717, Masters, 14, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 1876, 35, United-States, <=50K
+45, Self-emp-not-inc, 160962, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+34, ?, 353881, Assoc-voc, 11, Married-civ-spouse, ?, Husband, White, Male, 3103, 0, 60, United-States, >50K
+22, Private, 188950, Some-college, 10, Never-married, Tech-support, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 201328, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+24, Private, 218678, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 49, United-States, <=50K
+23, Private, 184255, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, <=50K
+39, Federal-gov, 200968, Some-college, 10, Married-civ-spouse, Adm-clerical, Other-relative, White, Male, 0, 0, 45, United-States, >50K
+26, Private, 102264, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 300584, HS-grad, 9, Never-married, Handlers-cleaners, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 208946, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 25, United-States, <=50K
+36, Private, 105021, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, <=50K
+20, Private, 124751, Some-college, 10, Never-married, Priv-house-serv, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+18, Private, 274057, 11th, 7, Never-married, Other-service, Own-child, Black, Male, 0, 0, 8, United-States, <=50K
+38, Private, 132879, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+43, Self-emp-inc, 260960, Bachelors, 13, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+56, Private, 208415, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, Black, Male, 0, 0, 40, ?, <=50K
+42, Private, 356934, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+35, Private, 154410, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+31, Private, 35378, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+73, Private, 301210, 1st-4th, 2, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1735, 20, United-States, <=50K
+32, Private, 73621, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 42, United-States, <=50K
+37, Private, 108140, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 45, United-States, >50K
+66, Private, 217198, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 10, United-States, <=50K
+22, Private, 157332, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+51, Private, 202956, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 173495, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+65, Private, 149811, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 2206, 59, Canada, <=50K
+39, Private, 444219, HS-grad, 9, Married-civ-spouse, Craft-repair, Wife, Black, Female, 0, 0, 45, United-States, <=50K
+48, Private, 125120, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 37, United-States, <=50K
+20, Private, 190429, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+28, ?, 190303, Assoc-acdm, 12, Never-married, ?, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+48, Private, 248164, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 4386, 0, 50, United-States, >50K
+29, Federal-gov, 208534, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 80, United-States, <=50K
+36, Self-emp-not-inc, 343721, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 30, ?, >50K
+35, Self-emp-inc, 196373, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+31, Private, 433788, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K
+48, State-gov, 122086, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 137314, Assoc-voc, 11, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+40, Self-emp-not-inc, 33068, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K
+57, Private, 210688, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 15, United-States, <=50K
+26, Local-gov, 117833, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 4865, 0, 35, United-States, <=50K
+37, State-gov, 103474, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+65, Private, 115880, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+26, Self-emp-not-inc, 233933, 10th, 6, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K
+42, Private, 52781, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K
+47, Private, 586657, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, Japan, >50K
+62, Private, 113080, 7th-8th, 4, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 251905, Assoc-voc, 11, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 50, United-States, <=50K
+76, Self-emp-not-inc, 225964, Some-college, 10, Widowed, Sales, Not-in-family, White, Male, 0, 0, 8, United-States, <=50K
+20, ?, 194096, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+29, Private, 263831, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+29, Private, 133136, 12th, 8, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K
+32, Private, 121634, 10th, 6, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, Mexico, <=50K
+22, Self-emp-inc, 40767, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+30, Federal-gov, 355789, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 50, United-States, <=50K
+43, Local-gov, 311914, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+23, Private, 91189, Bachelors, 13, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 20, United-States, <=50K
+44, Federal-gov, 344060, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+41, Private, 113823, Bachelors, 13, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+49, State-gov, 185800, Masters, 14, Divorced, Prof-specialty, Unmarried, Black, Female, 7430, 0, 40, United-States, >50K
+30, Private, 76107, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 45, United-States, >50K
+23, Private, 117618, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+39, Private, 238008, HS-grad, 9, Widowed, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+32, Private, 136480, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K
+50, Private, 285200, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1887, 35, United-States, >50K
+19, Private, 351040, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, Puerto-Rico, <=50K
+35, Private, 1226583, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 52, United-States, >50K
+23, Private, 195767, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 187540, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 79372, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+30, Private, 226665, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 42, United-States, >50K
+52, Private, 213209, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+49, Private, 211005, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 60, United-States, <=50K
+24, Private, 96178, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+46, Private, 328216, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 40, United-States, >50K
+39, Private, 110713, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+45, Self-emp-not-inc, 225456, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+62, Local-gov, 159908, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 1258, 38, United-States, <=50K
+43, Private, 118308, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 50, United-States, >50K
+45, Private, 180309, Some-college, 10, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+62, Self-emp-not-inc, 39630, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+48, Private, 273828, 5th-6th, 3, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K
+56, Private, 172071, HS-grad, 9, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 40, Jamaica, <=50K
+28, Private, 218887, HS-grad, 9, Never-married, Farming-fishing, Unmarried, White, Female, 0, 0, 35, United-States, <=50K
+23, Private, 664670, HS-grad, 9, Never-married, Craft-repair, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+43, Private, 209149, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+26, Private, 84619, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+36, Private, 447346, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+55, Local-gov, 37869, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K
+48, State-gov, 99086, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+43, Private, 143582, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Wife, Asian-Pac-Islander, Female, 0, 2129, 72, ?, <=50K
+38, Private, 326886, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+18, Private, 181755, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+56, Self-emp-not-inc, 249368, HS-grad, 9, Married-spouse-absent, Exec-managerial, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K
+39, Self-emp-not-inc, 326400, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+46, Private, 504725, 5th-6th, 3, Separated, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 50, Mexico, <=50K
+36, Private, 88967, 11th, 7, Never-married, Transport-moving, Unmarried, Amer-Indian-Eskimo, Male, 0, 0, 65, United-States, <=50K
+42, Self-emp-not-inc, 170721, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 2002, 40, United-States, <=50K
+50, Private, 148953, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K
+17, Private, 342752, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+57, Private, 220871, 7th-8th, 4, Widowed, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+73, Private, 29675, HS-grad, 9, Widowed, Other-service, Other-relative, White, Female, 0, 0, 12, United-States, <=50K
+50, Federal-gov, 183611, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 115215, Some-college, 10, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 45, United-States, <=50K
+27, Private, 152231, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, <=50K
+24, ?, 41356, Some-college, 10, Never-married, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+27, Private, 225142, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+23, Self-emp-not-inc, 121313, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 134821, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+51, Private, 311350, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+26, Private, 102106, 10th, 6, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K
+47, Private, 427055, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, Mexico, <=50K
+40, Private, 117860, HS-grad, 9, Divorced, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+58, Private, 285885, 9th, 5, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+25, Private, 212800, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+29, Private, 194864, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 18, United-States, <=50K
+36, Private, 31438, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 43, United-States, <=50K
+46, Private, 148254, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K
+69, Private, 113035, 1st-4th, 2, Widowed, Priv-house-serv, Not-in-family, Black, Female, 0, 0, 4, United-States, <=50K
+69, Private, 106595, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 1848, 0, 40, United-States, <=50K
+28, Private, 144521, HS-grad, 9, Never-married, Other-service, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+20, Private, 172232, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 48, United-States, <=50K
+54, State-gov, 123592, HS-grad, 9, Separated, Adm-clerical, Unmarried, Black, Female, 3887, 0, 35, United-States, <=50K
+25, Private, 191921, Some-college, 10, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+64, Local-gov, 237379, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 3471, 0, 40, United-States, <=50K
+17, Private, 208463, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+53, Federal-gov, 68985, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+50, Private, 22418, 9th, 5, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+57, Private, 163047, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 38, United-States, <=50K
+51, Private, 153870, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 2603, 40, United-States, <=50K
+20, ?, 124954, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+47, Private, 197702, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 166415, HS-grad, 9, Never-married, Transport-moving, Unmarried, White, Male, 0, 0, 52, United-States, <=50K
+50, State-gov, 116211, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 52, United-States, >50K
+20, Private, 33644, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+43, State-gov, 33331, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 70, United-States, >50K
+46, Private, 73019, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+54, Private, 169182, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 38, Puerto-Rico, <=50K
+53, Private, 20438, Some-college, 10, Separated, Exec-managerial, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 15, United-States, <=50K
+21, Private, 109869, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+58, Private, 316849, Some-college, 10, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 208043, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K
+61, Private, 153790, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 40, United-States, <=50K
+56, State-gov, 153451, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+59, Private, 96840, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+72, Private, 192732, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 20, United-States, <=50K
+33, Private, 209101, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+46, Private, 146919, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K
+46, Local-gov, 192323, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 38, United-States, >50K
+48, Private, 217019, HS-grad, 9, Never-married, Prof-specialty, Unmarried, Black, Female, 0, 0, 28, United-States, <=50K
+33, Private, 198211, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 222490, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+27, Private, 106758, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 45, United-States, <=50K
+31, Private, 561334, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 203710, Bachelors, 13, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+45, Local-gov, 203322, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K
+51, Private, 123703, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 4386, 0, 40, United-States, >50K
+46, State-gov, 312015, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+25, Private, 209428, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 25, El-Salvador, <=50K
+61, Private, 230292, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 7688, 0, 40, United-States, >50K
+17, Private, 114420, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+26, Private, 120238, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Male, 3325, 0, 40, United-States, <=50K
+35, Private, 100375, 10th, 6, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+33, Self-emp-not-inc, 42485, 11th, 7, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 70, United-States, <=50K
+37, Private, 130620, 12th, 8, Married-civ-spouse, Sales, Wife, Asian-Pac-Islander, Female, 0, 0, 33, ?, <=50K
+39, Local-gov, 134367, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+42, Private, 147099, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 30, United-States, <=50K
+35, Private, 36214, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 4386, 0, 47, United-States, >50K
+45, Private, 119904, HS-grad, 9, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 50, United-States, >50K
+47, Self-emp-inc, 105779, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, >50K
+64, Private, 165020, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, <=50K
+39, Private, 187098, Prof-school, 15, Married-civ-spouse, Exec-managerial, Wife, White, Female, 15024, 0, 47, United-States, >50K
+43, ?, 142030, HS-grad, 9, Divorced, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+34, Private, 241360, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, ?, <=50K
+62, Private, 121319, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 3103, 0, 40, United-States, >50K
+53, Private, 151580, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 40, United-States, >50K
+31, Private, 162572, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 35917, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+56, Self-emp-inc, 35723, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K
+43, Private, 194773, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+33, Private, 62155, Some-college, 10, Never-married, Sales, Not-in-family, Black, Male, 0, 0, 35, United-States, <=50K
+45, Self-emp-not-inc, 192203, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1485, 40, United-States, >50K
+46, Private, 174370, Some-college, 10, Separated, Sales, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K
+26, Private, 161007, Assoc-voc, 11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 80, United-States, <=50K
+24, Private, 270517, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, Mexico, <=50K
+43, Private, 163847, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, >50K
+40, Private, 193882, Assoc-voc, 11, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+61, Private, 160037, 7th-8th, 4, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+34, Federal-gov, 189944, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 72, United-States, <=50K
+85, Private, 115364, HS-grad, 9, Widowed, Sales, Unmarried, White, Male, 0, 0, 35, United-States, <=50K
+41, Private, 163174, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+31, State-gov, 188900, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 3325, 0, 35, United-States, <=50K
+22, Private, 214399, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+60, Private, 156616, HS-grad, 9, Widowed, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+29, Private, 204862, Assoc-acdm, 12, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K
+34, ?, 55921, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+35, State-gov, 172475, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female, 2977, 0, 45, United-States, <=50K
+24, Private, 153082, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+45, Local-gov, 195418, Masters, 14, Divorced, Prof-specialty, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+21, Local-gov, 276840, 12th, 8, Never-married, Other-service, Own-child, Black, Male, 0, 0, 20, United-States, <=50K
+30, Private, 97933, Assoc-acdm, 12, Married-civ-spouse, Transport-moving, Wife, White, Female, 0, 1485, 37, United-States, >50K
+50, Self-emp-inc, 119099, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 99, United-States, >50K
+41, Self-emp-not-inc, 83411, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+21, Private, 198992, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 33, United-States, <=50K
+45, Private, 337825, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+34, Private, 192002, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+28, Private, 189346, HS-grad, 9, Divorced, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+19, Private, 231962, HS-grad, 9, Never-married, Other-service, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 164488, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 13550, 0, 50, United-States, >50K
+48, Private, 200471, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, >50K
+69, Private, 228921, Bachelors, 13, Widowed, Prof-specialty, Not-in-family, White, Male, 0, 2282, 40, United-States, >50K
+41, Private, 184846, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+43, Private, 233851, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+28, Private, 499001, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, Mexico, <=50K
+65, Local-gov, 125768, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 28, United-States, <=50K
+31, Private, 255004, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 1741, 38, United-States, <=50K
+28, Private, 157624, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+51, Private, 146767, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+45, Private, 118291, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 80, United-States, <=50K
+43, Private, 313181, HS-grad, 9, Divorced, Adm-clerical, Other-relative, Black, Male, 0, 0, 38, United-States, <=50K
+31, Private, 87891, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K
+31, Private, 226443, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, >50K
+45, Private, 81132, Some-college, 10, Married-civ-spouse, Craft-repair, Other-relative, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K
+20, Private, 216436, Bachelors, 13, Never-married, Sales, Other-relative, Black, Female, 0, 0, 30, United-States, <=50K
+25, Private, 213412, Bachelors, 13, Never-married, Tech-support, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 179358, HS-grad, 9, Widowed, Handlers-cleaners, Unmarried, White, Female, 0, 0, 30, United-States, <=50K
+31, Private, 369825, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 4101, 0, 50, United-States, <=50K
+56, Private, 199763, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+26, Private, 239390, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 18, United-States, <=50K
+47, Self-emp-not-inc, 173613, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 65, United-States, <=50K
+40, Self-emp-inc, 37869, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K
+32, Private, 302845, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 48, United-States, <=50K
+34, State-gov, 85218, Masters, 14, Never-married, Prof-specialty, Unmarried, Black, Female, 0, 0, 24, United-States, <=50K
+37, Private, 48268, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, <=50K
+38, Private, 173968, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+19, Private, 70982, Assoc-voc, 11, Never-married, Other-service, Own-child, Asian-Pac-Islander, Male, 0, 0, 16, United-States, <=50K
+49, Private, 166857, 9th, 5, Divorced, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+18, ?, 256191, HS-grad, 9, Never-married, ?, Own-child, Black, Female, 0, 0, 25, United-States, <=50K
+26, Private, 162872, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+82, Private, 152148, 7th-8th, 4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 2, United-States, <=50K
+40, Private, 139193, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 791084, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 50, United-States, <=50K
+23, Private, 137214, HS-grad, 9, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 37, United-States, <=50K
+19, Private, 183258, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+67, Private, 154035, HS-grad, 9, Widowed, Handlers-cleaners, Other-relative, Black, Male, 0, 0, 32, United-States, <=50K
+43, Private, 115323, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 3103, 0, 40, United-States, >50K
+41, Private, 213055, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, Other, Female, 0, 0, 50, United-States, <=50K
+37, Private, 155064, Assoc-voc, 11, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+20, Private, 33551, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 169995, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+47, Private, 168262, Masters, 14, Separated, Exec-managerial, Not-in-family, White, Male, 99999, 0, 50, United-States, >50K
+40, Private, 104196, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K
+39, State-gov, 114055, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+24, Private, 274398, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 20, United-States, <=50K
+78, ?, 27979, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 2228, 0, 32, United-States, <=50K
+67, ?, 244122, Assoc-voc, 11, Widowed, ?, Not-in-family, White, Female, 0, 0, 1, United-States, <=50K
+49, Private, 196571, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K
+66, Private, 101607, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 10, United-States, <=50K
+52, Private, 122109, HS-grad, 9, Never-married, Prof-specialty, Unmarried, White, Female, 0, 323, 40, United-States, <=50K
+59, Self-emp-inc, 255822, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+72, Private, 195184, HS-grad, 9, Widowed, Priv-house-serv, Unmarried, White, Female, 0, 0, 12, Cuba, <=50K
+35, Federal-gov, 245372, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 169583, Bachelors, 13, Married-AF-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K
+36, Private, 224531, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 186151, HS-grad, 9, Separated, Tech-support, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+23, Private, 118693, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+39, Private, 297449, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+40, Self-emp-not-inc, 125206, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 393264, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 108140, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K
+63, Private, 264968, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+58, Self-emp-not-inc, 318106, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+30, Private, 156025, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+38, State-gov, 149455, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+25, Private, 359985, 5th-6th, 3, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 33, Mexico, <=50K
+44, State-gov, 165108, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+43, Private, 115178, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K
+21, Private, 149224, Some-college, 10, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+41, Local-gov, 352056, Assoc-acdm, 12, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 174717, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+75, ?, 173064, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 6, United-States, <=50K
+29, Private, 147755, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1672, 40, United-States, <=50K
+52, Self-emp-not-inc, 135716, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 70, United-States, <=50K
+47, Private, 44216, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 45, United-States, <=50K
+28, Private, 37359, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 50, United-States, >50K
+24, Private, 178255, Some-college, 10, Married-civ-spouse, Priv-house-serv, Wife, White, Female, 0, 0, 40, ?, <=50K
+30, State-gov, 70617, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 10, China, <=50K
+30, Private, 154950, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 60, United-States, >50K
+40, Private, 356934, Assoc-acdm, 12, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+27, Private, 271714, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+26, Private, 247025, HS-grad, 9, Never-married, Protective-serv, Unmarried, White, Male, 0, 0, 44, United-States, <=50K
+32, Private, 107417, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 37, United-States, <=50K
+36, State-gov, 116554, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+26, Private, 917220, 12th, 8, Never-married, Transport-moving, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+25, Private, 430084, Some-college, 10, Never-married, Transport-moving, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+39, Private, 202937, Some-college, 10, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 40, Poland, <=50K
+27, Private, 62737, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 508548, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K
+38, Self-emp-inc, 275223, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 40, United-States, >50K
+35, Self-emp-not-inc, 381931, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 55, United-States, <=50K
+29, Private, 246974, Assoc-voc, 11, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+49, Private, 105431, HS-grad, 9, Divorced, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+36, Private, 146311, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+47, Self-emp-not-inc, 159869, Doctorate, 16, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+21, Private, 204641, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 66297, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, >50K
+38, Private, 227615, 1st-4th, 2, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+66, ?, 107744, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+45, Private, 360393, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 50, United-States, >50K
+19, Private, 263340, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+18, Private, 141918, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 22, United-States, <=50K
+37, Private, 294292, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+49, Private, 128736, Bachelors, 13, Never-married, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+33, Local-gov, 511289, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 48, United-States, >50K
+27, Private, 302406, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+34, Local-gov, 101517, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 35, United-States, <=50K
+54, State-gov, 161334, Masters, 14, Married-spouse-absent, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, China, <=50K
+24, Self-emp-inc, 189148, Some-college, 10, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+44, Self-emp-not-inc, 103111, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K
+48, Self-emp-not-inc, 51620, Bachelors, 13, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+23, Private, 31606, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+29, Private, 34292, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 38, United-States, <=50K
+21, Private, 107882, Assoc-acdm, 12, Never-married, Other-service, Own-child, White, Female, 0, 0, 9, United-States, <=50K
+18, Private, 39529, 12th, 8, Never-married, Other-service, Own-child, White, Female, 0, 0, 32, United-States, <=50K
+18, Private, 135315, 9th, 5, Never-married, Sales, Own-child, Other, Female, 0, 0, 32, United-States, <=50K
+29, Private, 107812, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 229729, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+41, Private, 111891, HS-grad, 9, Separated, Machine-op-inspct, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K
+32, Private, 340917, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+61, Private, 202952, 10th, 6, Divorced, Other-service, Not-in-family, Black, Female, 0, 0, 24, United-States, <=50K
+79, Private, 333230, HS-grad, 9, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male, 0, 0, 6, United-States, <=50K
+34, Private, 114955, Assoc-acdm, 12, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+46, Private, 159869, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+50, Self-emp-not-inc, 57758, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K
+29, Private, 207064, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 193090, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 3674, 0, 40, United-States, <=50K
+64, Private, 151364, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+70, Local-gov, 88638, Masters, 14, Never-married, Prof-specialty, Unmarried, White, Female, 7896, 0, 50, United-States, >50K
+28, Local-gov, 304960, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 1980, 40, United-States, <=50K
+51, Private, 102828, Assoc-voc, 11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Greece, <=50K
+20, ?, 210029, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+34, State-gov, 154246, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 4865, 0, 55, United-States, <=50K
+29, Private, 142519, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+49, Private, 104455, Bachelors, 13, Married-spouse-absent, Other-service, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K
+77, Self-emp-inc, 192230, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 292592, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+27, Private, 330132, Bachelors, 13, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 40, United-States, >50K
+22, Private, 51111, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+35, Local-gov, 258037, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Cuba, >50K
+42, Local-gov, 188291, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 1902, 40, United-States, >50K
+35, State-gov, 349066, HS-grad, 9, Divorced, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+62, ?, 191188, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 133503, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 2635, 0, 16, United-States, <=50K
+45, Private, 146497, Some-college, 10, Widowed, Exec-managerial, Unmarried, White, Female, 0, 0, 55, United-States, <=50K
+19, Private, 240468, Some-college, 10, Married-spouse-absent, Sales, Own-child, White, Female, 0, 1602, 40, United-States, <=50K
+38, Private, 175120, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 416577, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 45, United-States, <=50K
+29, Private, 253814, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+33, Private, 159247, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+35, Self-emp-not-inc, 102471, HS-grad, 9, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 80, Puerto-Rico, <=50K
+42, Private, 213464, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 211968, Assoc-voc, 11, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+43, Federal-gov, 32016, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+69, Private, 512992, 11th, 7, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 45, United-States, <=50K
+39, Private, 135020, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 109133, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Portugal, <=50K
+28, Private, 142712, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+26, Federal-gov, 76900, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 112176, Some-college, 10, Divorced, Sales, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+43, Federal-gov, 262233, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+49, Private, 122066, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 30, Hungary, <=50K
+28, Private, 194690, 7th-8th, 4, Separated, Other-service, Own-child, White, Male, 0, 0, 60, Mexico, <=50K
+35, Private, 306678, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 2885, 0, 40, United-States, <=50K
+19, ?, 217769, Some-college, 10, Never-married, ?, Own-child, White, Female, 594, 0, 10, United-States, <=50K
+35, Local-gov, 308945, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+57, Private, 46699, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K
+45, Private, 377757, 9th, 5, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 220993, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 1590, 48, United-States, <=50K
+45, Private, 102147, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+42, Private, 113770, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K
+35, Private, 139012, Bachelors, 13, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Vietnam, <=50K
+45, Private, 148900, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+28, Federal-gov, 329426, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+64, Self-emp-inc, 181408, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 10, United-States, <=50K
+44, Local-gov, 101950, Prof-school, 15, Separated, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+59, Self-emp-not-inc, 32537, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, >50K
+41, Private, 209547, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 202373, Some-college, 10, Never-married, Sales, Own-child, Black, Male, 0, 0, 25, United-States, <=50K
+29, Self-emp-not-inc, 151476, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, White, Female, 2174, 0, 40, United-States, <=50K
+51, Self-emp-not-inc, 174824, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 8614, 0, 40, United-States, >50K
+22, Private, 138768, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+49, Private, 143482, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+53, Private, 200190, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 80, United-States, >50K
+38, Private, 168407, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 5721, 0, 44, United-States, <=50K
+23, Private, 148315, Some-college, 10, Separated, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 270517, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, Mexico, <=50K
+40, Private, 53506, Bachelors, 13, Divorced, Craft-repair, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+25, Private, 105693, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+27, Private, 189589, Some-college, 10, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+20, Private, 164574, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+37, Private, 185744, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 20, United-States, <=50K
+40, Local-gov, 33155, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 215955, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 3103, 0, 40, United-States, >50K
+38, Self-emp-not-inc, 233571, HS-grad, 9, Separated, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+42, Private, 211253, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+32, Federal-gov, 191385, Assoc-acdm, 12, Divorced, Protective-serv, Not-in-family, White, Male, 2174, 0, 40, United-States, <=50K
+20, Private, 137895, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K
+62, State-gov, 159699, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 38, United-States, <=50K
+31, Private, 295922, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+31, Self-emp-not-inc, 175856, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K
+24, Private, 216129, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+62, Local-gov, 407669, 7th-8th, 4, Widowed, Other-service, Not-in-family, Black, Female, 0, 0, 35, United-States, <=50K
+43, Local-gov, 214242, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+21, Private, 285457, Some-college, 10, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 50, United-States, <=50K
+30, Self-emp-inc, 124420, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 4650, 0, 40, United-States, <=50K
+22, ?, 246386, HS-grad, 9, Never-married, ?, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+18, Private, 142751, 10th, 6, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+59, Local-gov, 283635, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+24, Self-emp-not-inc, 322931, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1902, 40, United-States, >50K
+49, Private, 76482, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+19, State-gov, 431745, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+48, Private, 141944, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 4386, 0, 40, United-States, >50K
+32, Private, 193042, Prof-school, 15, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 60, United-States, >50K
+33, Private, 67006, 10th, 6, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+23, Private, 240398, Bachelors, 13, Never-married, Sales, Not-in-family, Black, Male, 0, 0, 15, United-States, <=50K
+33, Federal-gov, 182714, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 65, United-States, >50K
+50, Federal-gov, 172046, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+30, Private, 185177, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 43, United-States, <=50K
+32, Private, 102858, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2002, 42, United-States, <=50K
+39, Private, 84954, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 2829, 0, 65, United-States, <=50K
+21, Private, 115895, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+23, Private, 184589, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 21, United-States, <=50K
+32, Private, 282611, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+57, Private, 218649, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+22, State-gov, 157541, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 10, United-States, <=50K
+70, Private, 145419, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 5, United-States, <=50K
+34, Private, 122616, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 84, United-States, >50K
+53, Private, 204584, Masters, 14, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+21, Private, 117210, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 45, United-States, <=50K
+37, Private, 69481, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+60, Self-emp-not-inc, 148492, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1485, 50, United-States, >50K
+23, Private, 106957, 11th, 7, Never-married, Craft-repair, Own-child, Asian-Pac-Islander, Male, 14344, 0, 40, Vietnam, >50K
+32, Private, 29312, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 80, United-States, >50K
+57, Private, 120302, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+65, ?, 111916, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 182227, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+30, Private, 219110, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 46, United-States, <=50K
+31, Private, 200192, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, Germany, <=50K
+19, Private, 427862, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+23, State-gov, 33551, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 38, United-States, <=50K
+44, Private, 164043, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+43, ?, 116632, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 45, United-States, >50K
+42, Private, 175133, Some-college, 10, Never-married, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+34, Self-emp-not-inc, 289731, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 256362, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+25, Private, 282612, Assoc-voc, 11, Never-married, Tech-support, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+21, Private, 73679, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+31, Private, 237824, HS-grad, 9, Married-spouse-absent, Priv-house-serv, Other-relative, Black, Female, 0, 0, 60, Jamaica, <=50K
+36, Local-gov, 357720, Assoc-voc, 11, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+49, Self-emp-not-inc, 155489, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 65, Poland, <=50K
+44, Private, 138077, Bachelors, 13, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 32, United-States, <=50K
+42, Private, 183479, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+30, Private, 103596, HS-grad, 9, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 99, United-States, <=50K
+33, Private, 172304, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+36, Self-emp-not-inc, 313853, Bachelors, 13, Divorced, Other-service, Unmarried, Black, Male, 0, 0, 45, United-States, >50K
+17, Private, 294485, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+20, Private, 637080, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K
+32, Private, 385959, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 50, United-States, <=50K
+33, Self-emp-not-inc, 116539, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 129263, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 60, United-States, <=50K
+60, Private, 141253, 10th, 6, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K
+35, State-gov, 35626, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 15, United-States, <=50K
+43, Federal-gov, 94937, Bachelors, 13, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+46, Private, 220269, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K
+29, Self-emp-not-inc, 169544, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 5178, 0, 40, United-States, >50K
+36, Private, 214604, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 42, United-States, >50K
+27, Private, 81540, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+50, Private, 24013, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 84, United-States, >50K
+22, Private, 124940, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, Amer-Indian-Eskimo, Female, 0, 0, 44, United-States, <=50K
+33, State-gov, 313729, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+61, Private, 192237, 10th, 6, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+28, ?, 168524, Assoc-voc, 11, Married-civ-spouse, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+41, Self-emp-not-inc, 113324, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 70, United-States, >50K
+22, Private, 215477, Some-college, 10, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 199903, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+25, Private, 431861, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 105938, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, Black, Female, 0, 1602, 20, United-States, <=50K
+28, Private, 274679, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+25, Private, 177499, Bachelors, 13, Never-married, Craft-repair, Own-child, White, Male, 0, 1590, 35, United-States, <=50K
+28, Private, 206125, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+37, Local-gov, 221740, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 30, United-States, >50K
+58, Private, 202652, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 37, United-States, <=50K
+39, Private, 348960, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 171876, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+59, Private, 157932, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+58, Private, 201344, Bachelors, 13, Divorced, Craft-repair, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+38, Private, 354739, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 36, Philippines, >50K
+34, Private, 40067, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 326862, Some-college, 10, Divorced, Craft-repair, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+48, Local-gov, 189762, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+65, ?, 149049, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+45, Private, 226246, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+80, ?, 29020, Prof-school, 15, Married-civ-spouse, ?, Husband, White, Male, 10605, 0, 10, United-States, >50K
+23, Private, 38251, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+33, Private, 196385, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 37, United-States, >50K
+38, Self-emp-not-inc, 217054, Some-college, 10, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+44, Self-emp-not-inc, 104973, Masters, 14, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, >50K
+48, Local-gov, 238959, Masters, 14, Divorced, Exec-managerial, Unmarried, Black, Female, 9562, 0, 40, United-States, >50K
+40, State-gov, 34218, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+19, Local-gov, 292962, HS-grad, 9, Never-married, Craft-repair, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K
+45, Private, 235924, Bachelors, 13, Divorced, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+34, Private, 98656, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+70, Private, 102610, Some-college, 10, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 80, United-States, <=50K
+32, Local-gov, 296466, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+33, Private, 323069, Assoc-voc, 11, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+24, Private, 184756, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+30, Local-gov, 233993, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+22, Private, 130724, Some-college, 10, Never-married, Sales, Own-child, Black, Male, 0, 0, 25, United-States, <=50K
+52, Self-emp-inc, 181855, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Other, Male, 99999, 0, 65, United-States, >50K
+67, Self-emp-not-inc, 127543, 10th, 6, Married-civ-spouse, Farming-fishing, Husband, White, Male, 2414, 0, 80, United-States, <=50K
+40, Private, 187164, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1672, 45, United-States, <=50K
+55, Private, 113912, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 20, United-States, <=50K
+29, Private, 216479, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+62, Private, 135480, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 16, United-States, <=50K
+22, Private, 204160, HS-grad, 9, Divorced, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+64, State-gov, 114650, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+29, Self-emp-not-inc, 240172, Bachelors, 13, Never-married, Exec-managerial, Other-relative, White, Male, 0, 0, 50, United-States, <=50K
+28, Private, 184831, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 124590, HS-grad, 9, Never-married, Exec-managerial, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+47, State-gov, 120429, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 50, United-States, >50K
+26, Private, 202033, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K
+18, Private, 156874, 12th, 8, Never-married, Other-service, Own-child, White, Male, 0, 0, 27, United-States, <=50K
+52, Self-emp-inc, 177727, 10th, 6, Married-civ-spouse, Sales, Husband, White, Male, 4064, 0, 45, United-States, <=50K
+48, Local-gov, 334409, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 50, United-States, >50K
+36, Private, 311255, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, Haiti, <=50K
+23, Private, 214227, Assoc-voc, 11, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+41, Private, 115849, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+56, State-gov, 671292, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 38, United-States, >50K
+53, Private, 31460, HS-grad, 9, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 141824, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+22, Private, 310152, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 3325, 0, 40, United-States, <=50K
+25, Private, 179953, Masters, 14, Never-married, Prof-specialty, Own-child, White, Female, 2597, 0, 31, United-States, <=50K
+31, Private, 137952, Some-college, 10, Married-civ-spouse, Other-service, Husband, Other, Male, 0, 0, 40, Puerto-Rico, <=50K
+36, Private, 103323, Assoc-acdm, 12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 2829, 0, 40, United-States, <=50K
+46, Private, 174426, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+46, State-gov, 192779, Assoc-acdm, 12, Divorced, Adm-clerical, Unmarried, White, Male, 0, 2258, 38, United-States, >50K
+32, Private, 169955, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 36, Puerto-Rico, <=50K
+43, Self-emp-not-inc, 48087, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+30, Private, 132601, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 50, United-States, >50K
+41, Self-emp-inc, 253060, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 45, United-States, >50K
+50, Private, 108435, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 60, United-States, >50K
+37, State-gov, 210452, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 38, United-States, <=50K
+22, Local-gov, 134181, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 50, United-States, <=50K
+51, Federal-gov, 45487, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 80, United-States, <=50K
+47, Private, 183522, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, Black, Female, 0, 0, 40, United-States, >50K
+40, Private, 199303, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+46, Private, 83064, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+23, ?, 134997, Some-college, 10, Separated, ?, Unmarried, White, Female, 0, 0, 20, United-States, <=50K
+30, Private, 44419, Some-college, 10, Never-married, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+27, Self-emp-not-inc, 442612, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 65, United-States, >50K
+31, Local-gov, 158092, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+31, Private, 374833, 1st-4th, 2, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+30, Private, 112650, HS-grad, 9, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+50, Local-gov, 183390, Bachelors, 13, Separated, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+27, Private, 207418, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+22, ?, 335453, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 16, United-States, <=50K
+29, Private, 243660, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, >50K
+28, Private, 54243, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+54, Private, 50385, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, Black, Female, 0, 0, 45, United-States, >50K
+47, State-gov, 187581, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 48, United-States, >50K
+34, Private, 37380, HS-grad, 9, Married-spouse-absent, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+26, Private, 247025, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+53, ?, 29231, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 35, United-States, <=50K
+23, State-gov, 101094, Some-college, 10, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 60, United-States, <=50K
+42, Local-gov, 176716, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+36, Self-emp-not-inc, 118429, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K
+52, Federal-gov, 221532, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 45, United-States, >50K
+22, ?, 120572, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+27, Local-gov, 124680, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+42, Private, 153160, HS-grad, 9, Widowed, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+39, Private, 114678, HS-grad, 9, Divorced, Other-service, Unmarried, Black, Female, 5455, 0, 40, United-States, <=50K
+49, State-gov, 142856, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+36, Private, 29702, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 40, United-States, >50K
+20, Private, 277700, Preschool, 1, Never-married, Other-service, Own-child, White, Male, 0, 0, 32, United-States, <=50K
+55, Self-emp-inc, 67433, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K
+47, Private, 121124, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 394447, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 33, United-States, >50K
+36, Private, 79649, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+39, Private, 203763, Doctorate, 16, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 80, United-States, <=50K
+55, Private, 229029, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 48, United-States, >50K
+21, ?, 494638, Assoc-acdm, 12, Never-married, ?, Own-child, White, Male, 0, 0, 15, United-States, <=50K
+48, Private, 162816, Assoc-acdm, 12, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K
+30, Private, 109117, Assoc-voc, 11, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 45, United-States, <=50K
+24, Private, 32732, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+57, Self-emp-not-inc, 217692, HS-grad, 9, Widowed, Craft-repair, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K
+20, Private, 34590, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 60, United-States, <=50K
+18, ?, 276864, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 1602, 20, United-States, <=50K
+56, Private, 168625, HS-grad, 9, Divorced, Prof-specialty, Not-in-family, White, Female, 4101, 0, 40, United-States, <=50K
+36, Private, 91037, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K
+44, Private, 171484, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K
+57, Private, 200453, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 15024, 0, 40, United-States, >50K
+57, Private, 36990, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 52, United-States, <=50K
+33, Private, 198211, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K
+61, ?, 30475, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, >50K
+39, Private, 70995, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 15024, 0, 99, United-States, >50K
+28, Private, 245790, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 273324, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 1721, 16, United-States, <=50K
+60, Private, 182687, Assoc-acdm, 12, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+36, Local-gov, 247807, Assoc-voc, 11, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+58, Private, 163113, HS-grad, 9, Widowed, Sales, Not-in-family, White, Female, 0, 0, 35, United-States, >50K
+50, Private, 180522, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K
+23, Local-gov, 203353, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 12, United-States, <=50K
+30, Private, 87469, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+20, ?, 216563, 11th, 7, Never-married, ?, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+90, Private, 87372, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 20051, 0, 72, United-States, >50K
+49, Local-gov, 173584, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+47, Local-gov, 80282, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 3137, 0, 40, United-States, <=50K
+34, Private, 319854, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, Taiwan, >50K
+37, Federal-gov, 408229, HS-grad, 9, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+25, Private, 431307, 10th, 6, Married-civ-spouse, Protective-serv, Wife, Black, Female, 0, 0, 50, United-States, <=50K
+37, Private, 134088, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+47, Private, 246396, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+34, Private, 159255, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K
+34, Private, 106014, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 186934, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 50, United-States, >50K
+39, Private, 120130, Some-college, 10, Separated, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+32, State-gov, 203849, 7th-8th, 4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 19, United-States, <=50K
+24, Private, 207940, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 30, United-States, <=50K
+28, Private, 302406, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+41, Self-emp-not-inc, 144594, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 2179, 40, United-States, <=50K
+69, ?, 171050, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 9, United-States, <=50K
+32, Private, 459007, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 90, United-States, <=50K
+58, Private, 372181, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, >50K
+47, Self-emp-not-inc, 172034, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 75, United-States, >50K
+41, Private, 156566, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 4386, 0, 50, United-States, >50K
+35, Self-emp-inc, 338320, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+24, Private, 353696, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, Canada, <=50K
+46, Self-emp-not-inc, 342907, HS-grad, 9, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 60, United-States, >50K
+69, Self-emp-inc, 169717, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 6418, 0, 45, United-States, >50K
+22, Private, 103762, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+36, State-gov, 47570, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+31, Private, 119432, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+23, Local-gov, 144165, Bachelors, 13, Never-married, Prof-specialty, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 30, United-States, <=50K
+35, Private, 180647, Some-college, 10, Never-married, Prof-specialty, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+37, Local-gov, 312232, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 5178, 0, 40, United-States, >50K
+35, State-gov, 150488, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+18, Private, 200876, 11th, 7, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 16, United-States, <=50K
+43, Private, 188199, 9th, 5, Divorced, Handlers-cleaners, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+53, State-gov, 118793, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K
+54, Local-gov, 204325, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 52, United-States, <=50K
+29, Private, 256671, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K
+46, Private, 231515, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 47, Cuba, <=50K
+24, Private, 100669, Some-college, 10, Never-married, Handlers-cleaners, Own-child, Asian-Pac-Islander, Male, 0, 0, 30, United-States, <=50K
+30, Private, 88913, Some-college, 10, Separated, Other-service, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K
+23, Private, 363219, Some-college, 10, Never-married, Priv-house-serv, Not-in-family, White, Female, 0, 0, 6, United-States, <=50K
+27, ?, 291547, Bachelors, 13, Married-civ-spouse, ?, Not-in-family, Other, Female, 0, 0, 6, Mexico, <=50K
+36, Private, 308945, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+38, Self-emp-not-inc, 100316, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K
+33, Private, 296453, Masters, 14, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 15, United-States, <=50K
+66, Private, 298834, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, Canada, <=50K
+45, Self-emp-not-inc, 188694, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+68, ?, 29240, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 12, United-States, <=50K
+37, Private, 186934, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 60, United-States, >50K
+17, Private, 154908, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 0, 10, United-States, <=50K
+31, Private, 22201, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, >50K
+46, Private, 216999, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 55, United-States, >50K
+40, Private, 186916, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 116677, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+56, Private, 95763, 10th, 6, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+42, Private, 266710, Some-college, 10, Separated, Adm-clerical, Unmarried, Black, Female, 0, 0, 41, United-States, <=50K
+46, Private, 117849, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K
+30, Private, 242460, HS-grad, 9, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+33, Self-emp-not-inc, 202729, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+47, Private, 181652, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, United-States, <=50K
+57, Self-emp-not-inc, 174760, Assoc-acdm, 12, Married-spouse-absent, Farming-fishing, Unmarried, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K
+34, Private, 56121, 11th, 7, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 390369, HS-grad, 9, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 149726, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+22, Private, 51262, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 190350, 12th, 8, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 35, ?, <=50K
+53, Federal-gov, 205288, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 7688, 0, 35, United-States, >50K
+36, Private, 154835, HS-grad, 9, Separated, Adm-clerical, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K
+45, Private, 89028, HS-grad, 9, Divorced, Craft-repair, Not-in-family, Asian-Pac-Islander, Male, 10520, 0, 40, United-States, >50K
+36, Private, 194630, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+18, Self-emp-not-inc, 212207, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 11, United-States, <=50K
+27, Private, 204788, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+30, Private, 158688, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 97723, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+36, Private, 193026, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+36, Self-emp-not-inc, 257250, 7th-8th, 4, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 75, United-States, <=50K
+48, Private, 355978, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+41, Self-emp-not-inc, 200574, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 60, United-States, >50K
+21, Private, 376929, 5th-6th, 3, Never-married, Priv-house-serv, Not-in-family, White, Female, 0, 0, 40, Mexico, <=50K
+47, State-gov, 123219, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 38, United-States, >50K
+41, Private, 82778, 1st-4th, 2, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+61, Self-emp-not-inc, 115882, 1st-4th, 2, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 20, United-States, <=50K
+64, Private, 103021, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 297767, Some-college, 10, Separated, Adm-clerical, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+44, Private, 259479, HS-grad, 9, Divorced, Transport-moving, Unmarried, White, Male, 0, 0, 50, United-States, <=50K
+20, Private, 167787, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+23, Local-gov, 40021, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 70, United-States, <=50K
+52, Private, 245275, 10th, 6, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 35, United-States, <=50K
+43, Private, 37402, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K
+32, Private, 103608, Bachelors, 13, Married-civ-spouse, Handlers-cleaners, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K
+63, Private, 137192, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, South, <=50K
+29, Private, 137618, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 41, United-States, >50K
+42, Self-emp-inc, 96509, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 60, Taiwan, <=50K
+65, Private, 196174, 10th, 6, Divorced, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 28, United-States, <=50K
+24, Private, 172612, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+42, Private, 141186, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+35, Private, 228190, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+40, Self-emp-inc, 190290, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, ?, >50K
+38, Federal-gov, 307404, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+26, Private, 152436, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+46, Self-emp-not-inc, 182541, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 1672, 50, United-States, <=50K
+39, Private, 282153, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+29, ?, 41281, Bachelors, 13, Married-spouse-absent, ?, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+42, Private, 162003, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 36, United-States, >50K
+36, Private, 190759, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K
+26, Private, 208122, Some-college, 10, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+57, Private, 173832, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1902, 40, United-States, >50K
+55, Private, 129173, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+35, Private, 287548, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K
+41, Private, 216116, HS-grad, 9, Separated, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, ?, <=50K
+24, Private, 146706, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+47, Private, 285200, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+34, Self-emp-inc, 314375, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K
+44, Private, 203943, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 35, United-States, >50K
+18, ?, 274746, HS-grad, 9, Never-married, ?, Unmarried, White, Female, 0, 0, 20, United-States, <=50K
+27, Private, 517000, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+36, Private, 66173, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+21, Private, 182823, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+29, Private, 159479, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Other, Male, 0, 0, 55, United-States, <=50K
+25, Private, 135568, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+73, Private, 333676, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K
+45, Private, 201699, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K
+28, Private, 96020, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 50, United-States, >50K
+43, Private, 176138, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K
+47, Private, 47496, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K
+20, Private, 187158, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+22, Private, 249727, Some-college, 10, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+76, Self-emp-not-inc, 237624, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 10, United-States, <=50K
+24, Private, 175254, Some-college, 10, Never-married, Transport-moving, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+54, Self-emp-not-inc, 42924, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K
+30, Private, 205950, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K
+33, Private, 111985, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 58, United-States, <=50K
+30, Private, 167476, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+40, Private, 221172, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+27, ?, 188711, Some-college, 10, Divorced, ?, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+49, Private, 199448, Assoc-voc, 11, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+30, Private, 313038, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 148431, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, Other, Female, 0, 0, 40, United-States, <=50K
+19, Private, 112432, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 58, United-States, <=50K
+46, Private, 57914, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K
+51, Private, 145166, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, <=50K
+56, Private, 247119, 7th-8th, 4, Widowed, Machine-op-inspct, Unmarried, Other, Female, 0, 0, 40, Dominican-Republic, <=50K
+53, Private, 196278, Some-college, 10, Widowed, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+60, ?, 366531, Assoc-voc, 11, Widowed, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+27, Private, 216481, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+46, Private, 188027, Some-college, 10, Never-married, Exec-managerial, Unmarried, White, Female, 0, 0, 45, United-States, <=50K
+37, Private, 66686, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K
+41, Private, 74775, Bachelors, 13, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 30, Vietnam, <=50K
+65, ?, 325537, Assoc-voc, 11, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 50, United-States, >50K
+30, Self-emp-not-inc, 250499, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 55, United-States, >50K
+57, Self-emp-not-inc, 192869, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 72, United-States, <=50K
+44, Self-emp-inc, 121352, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K
+32, Self-emp-not-inc, 70985, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 4064, 0, 40, United-States, <=50K
+27, Self-emp-not-inc, 123116, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+57, Local-gov, 339163, Some-college, 10, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K
+59, Self-emp-not-inc, 124771, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 30, United-States, <=50K
+32, Private, 167531, Prof-school, 15, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female, 15024, 0, 50, United-States, >50K
+90, ?, 77053, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 4356, 40, United-States, <=50K
+22, Private, 199266, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+39, Private, 190728, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+43, Private, 99212, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 3103, 0, 48, United-States, >50K
+38, Local-gov, 421446, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 50, United-States, >50K
+61, Private, 215944, 9th, 5, Divorced, Sales, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K
+24, Private, 72310, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 43, United-States, <=50K
+25, Private, 57512, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+44, Private, 89413, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+55, Local-gov, 28151, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, >50K
+90, Private, 46786, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 9386, 0, 15, United-States, >50K
+30, Private, 226943, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 35, United-States, <=50K
+44, Private, 182402, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+36, Private, 305352, 10th, 6, Divorced, Craft-repair, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K
+63, Self-emp-inc, 189253, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+60, Private, 296485, 5th-6th, 3, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+34, Self-emp-not-inc, 204375, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 60, United-States, >50K
+49, Self-emp-not-inc, 249585, 11th, 7, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 65, United-States, <=50K
+47, Private, 148995, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 65, United-States, >50K
+42, Self-emp-inc, 168071, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 43, United-States, >50K
+53, Private, 194995, 5th-6th, 3, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, Italy, <=50K
+23, Private, 211049, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Female, 4101, 0, 40, United-States, <=50K
+28, ?, 196630, Assoc-voc, 11, Separated, ?, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K
+20, Private, 50397, Some-college, 10, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 35, United-States, <=50K
+43, Private, 177905, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 3908, 0, 40, United-States, <=50K
+32, Private, 204374, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 60, United-States, >50K
+43, Private, 60001, Bachelors, 13, Divorced, Sales, Unmarried, White, Male, 0, 0, 44, United-States, >50K
+31, Private, 223046, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K
+29, ?, 44921, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 40, United-States, <=50K
+24, Private, 154571, Some-college, 10, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Male, 0, 0, 20, United-States, <=50K
+39, Private, 67136, Assoc-voc, 11, Separated, Adm-clerical, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K
+29, Private, 188675, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, Jamaica, >50K
+20, Private, 390817, 5th-6th, 3, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 25, Mexico, <=50K
+23, ?, 145964, Some-college, 10, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+42, Private, 30424, 11th, 7, Separated, Other-service, Unmarried, White, Female, 0, 0, 38, United-States, <=50K
+53, Private, 548361, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 189148, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 48, United-States, <=50K
+58, Self-emp-not-inc, 266707, 1st-4th, 2, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 2179, 18, United-States, <=50K
+51, Self-emp-not-inc, 311569, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 187653, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K
+38, Private, 235379, Assoc-acdm, 12, Never-married, Prof-specialty, Unmarried, White, Female, 0, 0, 36, United-States, <=50K
+41, Private, 188615, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+58, Private, 322691, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K
+25, Private, 184698, 10th, 6, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, Dominican-Republic, <=50K
+50, Private, 144361, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 130057, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+31, Self-emp-inc, 117963, Doctorate, 16, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 123876, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+37, Private, 248445, HS-grad, 9, Divorced, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, El-Salvador, <=50K
+32, Private, 207172, Some-college, 10, Never-married, Sales, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+46, State-gov, 119904, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 1564, 55, United-States, >50K
+62, Private, 134768, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K
+40, Local-gov, 269168, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Other, Male, 0, 0, 40, ?, <=50K
+56, Private, 132026, Bachelors, 13, Married-civ-spouse, Sales, Husband, Black, Male, 7688, 0, 45, United-States, >50K
+37, Private, 60722, Some-college, 10, Divorced, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, Japan, >50K
+41, Private, 648223, 1st-4th, 2, Married-spouse-absent, Farming-fishing, Unmarried, White, Male, 0, 0, 40, Mexico, <=50K
+56, Private, 298695, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, <=50K
+20, Private, 219835, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+34, Self-emp-not-inc, 313729, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K
+45, Private, 140644, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+30, Private, 203488, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K
+51, Self-emp-not-inc, 132341, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+27, Private, 161683, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 42, United-States, <=50K
+38, Private, 312771, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+39, Private, 258102, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 50, United-States, <=50K
+57, ?, 24127, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 8, United-States, <=50K
+47, Private, 254367, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+77, ?, 185426, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 15, United-States, <=50K
+43, Private, 152629, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+46, Local-gov, 141058, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 65, United-States, <=50K
+41, Private, 233130, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+20, Private, 406641, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+30, State-gov, 119422, 10th, 6, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 255486, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 25, United-States, <=50K
+22, Private, 161532, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+25, Private, 75759, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 44, United-States, >50K
+18, Private, 163332, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 22, United-States, <=50K
+28, Private, 103802, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 1408, 40, ?, <=50K
+50, Private, 34832, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 15024, 0, 40, United-States, >50K
+28, Private, 37933, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 48, United-States, <=50K
+21, Private, 165107, Some-college, 10, Never-married, Priv-house-serv, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+37, Private, 126011, Assoc-voc, 11, Divorced, Tech-support, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+28, Federal-gov, 56651, Bachelors, 13, Never-married, Prof-specialty, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+23, Private, 522881, 5th-6th, 3, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 35, Mexico, <=50K
+32, Private, 191777, Assoc-voc, 11, Never-married, Exec-managerial, Not-in-family, Black, Female, 0, 0, 35, England, <=50K
+27, Private, 132686, 12th, 8, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 50, United-States, <=50K
+55, Private, 201112, HS-grad, 9, Divorced, Prof-specialty, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+44, Private, 174283, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+25, Private, 208591, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 126399, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 32, United-States, <=50K
+50, Private, 142073, HS-grad, 9, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K
+18, Private, 395567, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+74, Private, 180455, Bachelors, 13, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 8, United-States, <=50K
+22, Private, 235853, 9th, 5, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 160731, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+27, State-gov, 31935, Some-college, 10, Never-married, Tech-support, Own-child, White, Female, 0, 0, 80, United-States, <=50K
+41, Private, 35166, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 50, United-States, >50K
+24, Private, 161092, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 7298, 0, 40, United-States, >50K
+23, Private, 223019, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+34, Self-emp-not-inc, 179673, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 60, United-States, >50K
+46, State-gov, 248895, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+32, Private, 200323, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+41, Private, 230020, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Other, Male, 0, 0, 40, United-States, <=50K
+29, Private, 134890, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, >50K
+48, Private, 162096, 9th, 5, Married-civ-spouse, Machine-op-inspct, Other-relative, Asian-Pac-Islander, Female, 0, 0, 45, China, <=50K
+51, Private, 103824, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 40, Haiti, <=50K
+34, State-gov, 61431, 12th, 8, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+58, Private, 197319, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+52, Private, 183618, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+37, Self-emp-not-inc, 268598, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Other, Male, 7298, 0, 50, Puerto-Rico, >50K
+53, Private, 263729, Some-college, 10, Separated, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+54, Private, 39493, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 20, United-States, <=50K
+36, Private, 185360, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K
+25, Private, 132661, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 60, United-States, <=50K
+20, Private, 266400, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 48, United-States, <=50K
+23, Private, 433669, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+39, Self-emp-inc, 216473, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K
+20, Self-emp-not-inc, 217404, 10th, 6, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 227778, Assoc-voc, 11, Never-married, Other-service, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K
+73, State-gov, 96262, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+67, Private, 247566, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 24, United-States, <=50K
+56, Private, 139616, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, >50K
+32, Private, 73585, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+42, Private, 37869, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 1590, 40, United-States, <=50K
+33, Private, 165814, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+37, Private, 108913, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 34975, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K
+31, Private, 157078, 10th, 6, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+59, Private, 232672, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+21, Private, 294295, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+58, Self-emp-inc, 130454, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+24, Local-gov, 461678, 10th, 6, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+26, State-gov, 252284, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 256737, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+33, Local-gov, 96480, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, Germany, <=50K
+25, Private, 234263, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 109952, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, <=50K
+24, Private, 262570, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+39, Self-emp-not-inc, 65716, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K
+68, Private, 201732, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+66, Self-emp-not-inc, 174788, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+38, Private, 278924, Bachelors, 13, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+41, Private, 101593, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+71, ?, 193863, 7th-8th, 4, Widowed, ?, Other-relative, White, Female, 0, 0, 16, Poland, <=50K
+37, Private, 342768, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+54, Self-emp-not-inc, 242606, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 4386, 0, 45, United-States, >50K
+27, State-gov, 176727, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+49, Private, 99179, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+19, State-gov, 354104, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 10, United-States, <=50K
+25, Private, 61956, Some-college, 10, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+47, Federal-gov, 137917, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, >50K
+40, Private, 224658, Some-college, 10, Married-civ-spouse, Sales, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 51100, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 3325, 0, 40, United-States, <=50K
+25, Private, 224361, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 362912, Some-college, 10, Never-married, Craft-repair, Own-child, White, Female, 0, 0, 50, United-States, <=50K
+23, Private, 218782, 10th, 6, Never-married, Handlers-cleaners, Other-relative, Other, Male, 0, 0, 40, United-States, <=50K
+28, Private, 103389, Masters, 14, Divorced, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+29, Private, 308944, HS-grad, 9, Married-spouse-absent, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 140092, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 202210, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+52, Private, 416059, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 40, United-States, >50K
+33, Self-emp-not-inc, 281030, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 94, United-States, <=50K
+19, Private, 169758, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+68, Private, 193666, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 20051, 0, 55, United-States, >50K
+41, Private, 139907, 10th, 6, Never-married, Handlers-cleaners, Unmarried, White, Male, 0, 0, 50, United-States, <=50K
+18, Self-emp-inc, 119422, HS-grad, 9, Never-married, Other-service, Unmarried, Asian-Pac-Islander, Female, 0, 0, 30, India, <=50K
+29, Private, 149324, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1485, 40, United-States, >50K
+40, Private, 259307, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+51, Self-emp-not-inc, 74160, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Male, 0, 0, 60, United-States, >50K
+49, Private, 134797, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+20, State-gov, 41103, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+38, Local-gov, 193026, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K
+57, Private, 303986, 5th-6th, 3, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, Cuba, <=50K
+35, Private, 126569, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 4064, 0, 40, United-States, <=50K
+66, Private, 166461, 11th, 7, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 26, United-States, <=50K
+27, ?, 61387, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 15, United-States, <=50K
+25, Private, 254746, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+77, ?, 28678, Masters, 14, Married-civ-spouse, ?, Husband, White, Male, 9386, 0, 6, United-States, >50K
+19, ?, 180976, 10th, 6, Never-married, ?, Unmarried, White, Female, 0, 0, 35, United-States, <=50K
+70, Private, 282642, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 2174, 40, United-States, >50K
+59, Self-emp-not-inc, 136413, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 48, United-States, <=50K
+25, Private, 131463, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+44, Local-gov, 177240, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 10520, 0, 40, United-States, >50K
+37, Private, 218490, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, El-Salvador, >50K
+75, ?, 260543, 10th, 6, Widowed, ?, Other-relative, Asian-Pac-Islander, Female, 0, 0, 1, China, <=50K
+21, ?, 80680, HS-grad, 9, Never-married, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+21, Private, 20728, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 4101, 0, 40, United-States, <=50K
+47, Federal-gov, 117628, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+20, Private, 91939, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 1721, 30, United-States, <=50K
+32, State-gov, 175931, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 309566, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 20, United-States, <=50K
+53, Private, 123703, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+19, ?, 369678, HS-grad, 9, Never-married, ?, Not-in-family, Other, Male, 0, 0, 30, United-States, <=50K
+58, Private, 29928, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 36, United-States, <=50K
+22, Private, 167868, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+23, Private, 235894, 11th, 7, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, <=50K
+21, Private, 189888, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 3325, 0, 60, United-States, <=50K
+36, Private, 111545, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 70, United-States, <=50K
+39, Private, 175972, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 15, United-States, <=50K
+34, Local-gov, 254270, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+41, Local-gov, 185057, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+72, Private, 157593, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 1455, 0, 6, United-States, <=50K
+34, Private, 101345, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, >50K
+51, Local-gov, 176751, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 40, United-States, >50K
+32, Self-emp-not-inc, 97723, Assoc-voc, 11, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 127601, Some-college, 10, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, >50K
+37, Private, 227597, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+21, ?, 143995, Some-college, 10, Never-married, ?, Own-child, Black, Male, 0, 0, 20, United-States, <=50K
+21, Private, 250051, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 10, United-States, <=50K
+26, Private, 284078, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 207668, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 1887, 40, United-States, >50K
+18, Private, 163787, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+27, Private, 119170, 11th, 7, Never-married, Exec-managerial, Unmarried, White, Female, 0, 0, 45, United-States, <=50K
+20, Private, 188612, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 38, Nicaragua, <=50K
+36, Private, 114605, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+31, ?, 317761, Bachelors, 13, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 164197, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K
+54, Private, 329266, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 44, United-States, >50K
+34, Local-gov, 207383, Masters, 14, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+46, Private, 123598, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 48, United-States, >50K
+33, Private, 259931, 11th, 7, Separated, Machine-op-inspct, Other-relative, White, Male, 0, 0, 30, United-States, <=50K
+32, Private, 134737, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 50, United-States, >50K
+42, Private, 106900, Assoc-voc, 11, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 87054, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+37, Private, 82622, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, >50K
+28, Private, 181659, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 321205, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 4101, 0, 35, United-States, <=50K
+44, Self-emp-not-inc, 231348, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, >50K
+40, Private, 276096, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 290560, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K
+21, Private, 307315, Some-college, 10, Never-married, Adm-clerical, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+39, State-gov, 99156, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+24, Private, 237928, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 39, United-States, <=50K
+46, Private, 153501, HS-grad, 9, Never-married, Transport-moving, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K
+47, ?, 149700, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 36, United-States, >50K
+47, Private, 189680, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1977, 40, United-States, >50K
+35, Private, 374524, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 75, United-States, >50K
+60, Self-emp-not-inc, 127805, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K
+35, Private, 150217, Bachelors, 13, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 24, Poland, <=50K
+33, Private, 295649, HS-grad, 9, Separated, Other-service, Unmarried, White, Female, 0, 0, 40, China, <=50K
+21, Private, 197182, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+37, Private, 241998, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 50, United-States, >50K
+48, Federal-gov, 156410, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 50, United-States, >50K
+58, Private, 473836, 7th-8th, 4, Widowed, Farming-fishing, Other-relative, White, Female, 0, 0, 45, Guatemala, <=50K
+21, Private, 198431, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+22, Private, 113936, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 318915, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+28, Self-emp-not-inc, 175406, Masters, 14, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 30, United-States, >50K
+33, ?, 193172, Assoc-voc, 11, Married-civ-spouse, ?, Own-child, White, Female, 7688, 0, 50, United-States, >50K
+23, Federal-gov, 320294, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+58, State-gov, 400285, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, >50K
+24, ?, 283731, Bachelors, 13, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+38, Local-gov, 227154, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K
+49, Private, 298659, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 15, Mexico, <=50K
+47, Private, 212120, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+50, Private, 320510, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 40, United-States, >50K
+21, Private, 175800, HS-grad, 9, Never-married, Prof-specialty, Unmarried, White, Female, 0, 0, 55, United-States, <=50K
+55, Private, 170169, HS-grad, 9, Separated, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+47, Private, 344157, 11th, 7, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+19, Private, 199441, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+47, Private, 225456, HS-grad, 9, Never-married, Tech-support, Other-relative, White, Male, 0, 0, 50, United-States, <=50K
+36, Private, 61178, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+28, Local-gov, 175262, Assoc-acdm, 12, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 2002, 40, England, <=50K
+42, Private, 152568, HS-grad, 9, Widowed, Sales, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K
+41, Private, 182108, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 27828, 0, 35, United-States, >50K
+46, Private, 273771, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 99999, 0, 40, United-States, >50K
+32, Private, 208291, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K
+34, Private, 224358, 10th, 6, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+33, Private, 55176, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+60, State-gov, 152711, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+53, Private, 68684, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 185452, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+39, Federal-gov, 175232, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 1977, 60, United-States, >50K
+23, Private, 173851, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+50, Private, 162327, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 1902, 50, ?, >50K
+36, Local-gov, 51424, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+19, Private, 123416, 12th, 8, Separated, Prof-specialty, Own-child, White, Female, 1055, 0, 40, United-States, <=50K
+26, Private, 262656, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+38, Private, 233194, HS-grad, 9, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 40, United-States, >50K
+41, Private, 290660, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 55, United-States, >50K
+22, Private, 151105, Some-college, 10, Never-married, Sales, Other-relative, White, Female, 0, 0, 18, United-States, <=50K
+38, Private, 179117, Assoc-acdm, 12, Never-married, Machine-op-inspct, Not-in-family, Black, Female, 10520, 0, 50, United-States, >50K
+72, ?, 33608, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 9386, 0, 30, United-States, >50K
+39, Private, 317434, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+35, State-gov, 126569, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 40, United-States, >50K
+38, Local-gov, 745768, Some-college, 10, Divorced, Exec-managerial, Unmarried, Black, Female, 0, 0, 45, United-States, <=50K
+19, Private, 69927, HS-grad, 9, Married-civ-spouse, Other-service, Wife, Black, Female, 0, 0, 16, United-States, <=50K
+26, Private, 302603, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 45, United-States, <=50K
+52, Private, 46788, Bachelors, 13, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 25, United-States, <=50K
+41, Private, 289886, 5th-6th, 3, Married-civ-spouse, Other-service, Husband, Other, Male, 0, 1579, 40, Nicaragua, <=50K
+45, Private, 179135, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+58, Federal-gov, 175873, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+34, Private, 57426, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+36, Private, 312206, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+19, Without-pay, 344858, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+26, State-gov, 177035, 11th, 7, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+60, Private, 88055, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+35, Self-emp-not-inc, 111095, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K
+39, Private, 192251, 10th, 6, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K
+27, Private, 29807, HS-grad, 9, Separated, Handlers-cleaners, Unmarried, White, Female, 0, 0, 40, Japan, <=50K
+26, Federal-gov, 211596, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+17, Private, 268276, 12th, 8, Never-married, Other-service, Own-child, White, Male, 0, 0, 12, United-States, <=50K
+59, Self-emp-not-inc, 181070, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, England, >50K
+53, Local-gov, 20676, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male, 0, 0, 48, United-States, <=50K
+35, Private, 115803, 11th, 7, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+34, Local-gov, 124827, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+36, Private, 95336, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 45, United-States, >50K
+36, Private, 257942, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 72593, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 147340, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+35, Private, 185325, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+59, Self-emp-not-inc, 357943, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+22, Private, 215395, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 1602, 10, United-States, <=50K
+50, Local-gov, 30682, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K
+24, Federal-gov, 29591, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Other, Female, 0, 0, 40, United-States, <=50K
+36, Private, 215392, Bachelors, 13, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+31, Private, 110554, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 4386, 0, 40, United-States, >50K
+42, Self-emp-not-inc, 133584, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, El-Salvador, <=50K
+38, Private, 210438, 7th-8th, 4, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+52, Private, 256916, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+46, Private, 73541, 10th, 6, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 109952, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K
+54, Private, 197975, 5th-6th, 3, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 51, United-States, <=50K
+27, Private, 401723, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+42, Private, 179524, Bachelors, 13, Separated, Other-service, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+33, State-gov, 296282, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+19, Private, 145844, Assoc-acdm, 12, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+59, Private, 191965, 11th, 7, Married-civ-spouse, Other-service, Wife, White, Female, 3908, 0, 28, United-States, <=50K
+54, Private, 96792, HS-grad, 9, Widowed, Other-service, Unmarried, White, Female, 0, 0, 32, United-States, <=50K
+48, Private, 185041, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1672, 55, United-States, <=50K
+19, ?, 233779, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 60, United-States, <=50K
+45, Private, 347834, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+36, Private, 215373, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K
+35, Self-emp-not-inc, 169426, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+47, Private, 202856, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K
+33, Private, 50276, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+48, Self-emp-not-inc, 187454, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+42, Private, 126098, HS-grad, 9, Separated, Craft-repair, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+19, Private, 250639, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 24, United-States, <=50K
+64, Self-emp-inc, 195366, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+51, Self-emp-not-inc, 186845, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 8, United-States, <=50K
+20, Federal-gov, 119156, HS-grad, 9, Never-married, Adm-clerical, Other-relative, White, Male, 0, 0, 20, United-States, <=50K
+28, Private, 162343, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, Puerto-Rico, <=50K
+52, Private, 108435, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 50, Greece, >50K
+29, Self-emp-not-inc, 394927, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+51, Private, 172281, Bachelors, 13, Separated, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 370767, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2377, 60, United-States, <=50K
+43, Private, 352005, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 45, United-States, >50K
+52, Private, 165681, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+50, Private, 258819, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+25, Private, 130793, Some-college, 10, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+36, Private, 118909, Assoc-acdm, 12, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, Jamaica, <=50K
+44, Private, 202466, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 60, United-States, <=50K
+47, Private, 161558, 10th, 6, Married-spouse-absent, Transport-moving, Not-in-family, Black, Male, 0, 0, 45, United-States, <=50K
+32, Private, 188246, HS-grad, 9, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 160120, Masters, 14, Never-married, Prof-specialty, Unmarried, Asian-Pac-Islander, Male, 0, 0, 40, South, <=50K
+40, Private, 144594, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 2829, 0, 40, United-States, <=50K
+34, Self-emp-not-inc, 123429, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K
+35, Self-emp-inc, 340110, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+26, Private, 523067, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 3, El-Salvador, <=50K
+49, Self-emp-not-inc, 113513, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K
+63, ?, 186809, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 30, United-States, >50K
+46, Self-emp-not-inc, 320421, Bachelors, 13, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K
+31, Local-gov, 295589, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+22, Private, 370548, Assoc-voc, 11, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+20, Private, 120572, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 12, United-States, <=50K
+52, Private, 110977, Doctorate, 16, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+26, Private, 55860, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+34, Private, 158800, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+31, Private, 131568, 9th, 5, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+46, Private, 173613, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 30, United-States, <=50K
+22, Private, 216867, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+38, Private, 104089, Assoc-voc, 11, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 208106, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, Ecuador, <=50K
+27, State-gov, 340269, Some-college, 10, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 236246, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+46, Private, 213408, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, Cuba, <=50K
+40, ?, 84232, HS-grad, 9, Never-married, ?, Not-in-family, White, Female, 0, 0, 4, United-States, <=50K
+19, Private, 302945, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 10, Thailand, <=50K
+69, ?, 28197, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 60, United-States, >50K
+20, Private, 262749, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+34, Federal-gov, 198265, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 60, United-States, <=50K
+49, Private, 170871, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+27, Private, 177761, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, Other, Male, 0, 0, 50, United-States, <=50K
+59, Private, 175689, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 14, Cuba, >50K
+45, Private, 205100, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 60, United-States, >50K
+21, Private, 77759, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+51, State-gov, 77905, Assoc-voc, 11, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+64, ?, 193575, 11th, 7, Never-married, ?, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+41, State-gov, 116520, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+18, ?, 85154, 12th, 8, Never-married, ?, Own-child, Asian-Pac-Islander, Female, 0, 0, 24, Germany, <=50K
+49, Private, 180532, Masters, 14, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+51, Private, 508891, HS-grad, 9, Divorced, Machine-op-inspct, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+20, Private, 211345, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+69, Self-emp-not-inc, 170877, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 48, United-States, <=50K
+18, ?, 97318, HS-grad, 9, Never-married, ?, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+43, Private, 184105, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 50, United-States, <=50K
+50, Private, 150941, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 44, United-States, <=50K
+32, Private, 303942, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+27, Local-gov, 273929, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 197077, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+62, Private, 162825, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K
+46, Private, 159869, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 44, United-States, <=50K
+19, Private, 158343, Some-college, 10, Never-married, Tech-support, Own-child, White, Female, 0, 0, 40, ?, <=50K
+17, ?, 406920, 10th, 6, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 227986, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+36, Private, 137527, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+36, Private, 180150, 12th, 8, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 239539, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K
+58, Private, 281792, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+40, Private, 224799, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K
+64, Private, 292639, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 10566, 0, 35, United-States, <=50K
+66, Private, 22313, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 20, United-States, <=50K
+42, Private, 194636, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+55, Private, 156089, Some-college, 10, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+53, Private, 193720, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 40, United-States, >50K
+25, Private, 218667, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+39, Private, 358837, Some-college, 10, Never-married, Tech-support, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+20, Private, 174685, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 168854, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 54, United-States, <=50K
+28, Private, 133696, Bachelors, 13, Never-married, Sales, Unmarried, White, Male, 0, 0, 65, United-States, <=50K
+23, Federal-gov, 350680, Assoc-acdm, 12, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, Poland, <=50K
+18, Private, 115215, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 25, United-States, <=50K
+43, Self-emp-not-inc, 152958, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 35, United-States, >50K
+29, Private, 217200, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 235124, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 46, Dominican-Republic, <=50K
+31, Local-gov, 144949, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+60, Private, 135470, 5th-6th, 3, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+42, Private, 281209, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K
+46, Private, 155489, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+38, Private, 290306, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+18, Private, 182042, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 19, United-States, <=50K
+31, Private, 210008, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+54, Private, 234938, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 4064, 0, 55, United-States, <=50K
+46, Private, 315423, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 2042, 50, United-States, <=50K
+27, Self-emp-not-inc, 30244, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 80, United-States, <=50K
+50, Local-gov, 30008, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K
+38, Self-emp-not-inc, 201328, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 56, United-States, <=50K
+36, State-gov, 96468, Masters, 14, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+25, Private, 486332, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K
+19, Private, 46162, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 25, United-States, <=50K
+60, Local-gov, 98350, Some-college, 10, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 60, Philippines, <=50K
+45, Local-gov, 175958, 9th, 5, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 119309, Some-college, 10, Never-married, Tech-support, Own-child, White, Male, 0, 1602, 16, United-States, <=50K
+42, Private, 175935, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 1980, 46, United-States, <=50K
+38, Private, 204527, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+22, ?, 57827, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+19, Private, 418176, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, Black, Male, 0, 0, 32, United-States, <=50K
+23, Private, 262744, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 177287, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+30, Private, 255004, Assoc-acdm, 12, Divorced, Sales, Not-in-family, White, Male, 0, 0, 52, United-States, <=50K
+62, Private, 183735, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+26, Self-emp-not-inc, 318644, Prof-school, 15, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+42, Federal-gov, 132125, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 52, United-States, >50K
+33, Private, 206051, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+54, Self-emp-inc, 99185, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, ?, >50K
+35, Private, 225750, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 32, United-States, <=50K
+33, Private, 245777, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+45, Private, 169092, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K
+62, Private, 211035, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 30, United-States, >50K
+24, Private, 285432, HS-grad, 9, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+50, Local-gov, 154779, Some-college, 10, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+54, Private, 37237, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+58, Private, 417419, 7th-8th, 4, Divorced, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+39, Self-emp-inc, 33975, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+32, Private, 42485, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 170017, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 152683, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 3908, 0, 35, United-States, <=50K
+20, Private, 41721, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 60, United-States, <=50K
+64, Private, 66634, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+55, Self-emp-inc, 257216, Masters, 14, Widowed, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+46, Private, 167882, HS-grad, 9, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 43, United-States, <=50K
+45, Private, 179428, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 55, United-States, <=50K
+26, Private, 57512, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 301614, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 193820, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 1876, 40, United-States, <=50K
+58, Private, 222247, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1887, 40, United-States, >50K
+39, Self-emp-inc, 189092, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K
+47, Private, 217509, HS-grad, 9, Widowed, Priv-house-serv, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 45, Thailand, <=50K
+35, Private, 308691, Masters, 14, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, <=50K
+38, Private, 169672, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+50, Private, 120914, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 370156, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 38, United-States, <=50K
+28, Private, 398220, 5th-6th, 3, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K
+44, Self-emp-not-inc, 208277, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 45, United-States, <=50K
+40, Private, 337456, HS-grad, 9, Divorced, Protective-serv, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+55, Private, 172666, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+29, Self-emp-not-inc, 32280, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+33, Private, 194901, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+19, ?, 57329, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 30, Japan, <=50K
+32, Private, 173730, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 40, United-States, >50K
+45, Local-gov, 153312, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 10, United-States, >50K
+23, Private, 274797, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 25, United-States, <=50K
+31, Private, 359249, Assoc-voc, 11, Never-married, Protective-serv, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+22, Private, 152744, Some-college, 10, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K
+59, Private, 188041, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+32, Private, 97723, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K
+49, State-gov, 354529, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+22, Private, 249727, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+26, Private, 189590, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+23, State-gov, 298871, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Vietnam, <=50K
+55, Self-emp-not-inc, 205296, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 50, United-States, <=50K
+47, Private, 303637, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 49, United-States, >50K
+44, Private, 242861, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 37599, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 24, United-States, <=50K
+40, State-gov, 199381, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 15024, 0, 37, United-States, >50K
+32, Self-emp-not-inc, 56328, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 8, United-States, >50K
+20, Private, 256211, Some-college, 10, Never-married, Machine-op-inspct, Other-relative, Asian-Pac-Islander, Male, 0, 0, 40, Vietnam, <=50K
+84, Local-gov, 163685, HS-grad, 9, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 33, United-States, <=50K
+40, Private, 266084, Some-college, 10, Divorced, Craft-repair, Other-relative, White, Male, 0, 0, 50, United-States, <=50K
+37, Private, 161111, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+44, Private, 199031, Some-college, 10, Divorced, Transport-moving, Own-child, White, Male, 0, 1380, 40, United-States, <=50K
+47, Private, 166634, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, Germany, <=50K
+62, Self-emp-not-inc, 204085, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 25, United-States, <=50K
+19, ?, 369527, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+47, Private, 464945, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+44, Local-gov, 174684, HS-grad, 9, Divorced, Craft-repair, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K
+26, Local-gov, 166295, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 41, United-States, <=50K
+36, Private, 220511, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+52, Private, 246936, 11th, 7, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 104509, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+48, ?, 266337, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 252168, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+25, Private, 92093, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 20, United-States, <=50K
+62, Private, 88055, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 129591, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+46, Private, 142719, HS-grad, 9, Married-spouse-absent, Farming-fishing, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K
+18, ?, 264924, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+46, Private, 128796, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 44, United-States, >50K
+38, Private, 115336, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 70, United-States, <=50K
+52, Private, 190333, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+63, Self-emp-not-inc, 179444, 7th-8th, 4, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 15, United-States, <=50K
+49, Private, 218676, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 43, United-States, <=50K
+17, Local-gov, 148194, 11th, 7, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 12, United-States, <=50K
+33, Private, 184833, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+70, Self-emp-not-inc, 280639, HS-grad, 9, Widowed, Other-service, Other-relative, White, Female, 2329, 0, 20, United-States, <=50K
+19, Private, 217769, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+27, ?, 180553, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 40, United-States, >50K
+61, Private, 56009, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 255334, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 25, United-States, >50K
+46, Self-emp-inc, 328216, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1902, 42, ?, >50K
+29, Private, 349154, 10th, 6, Separated, Farming-fishing, Unmarried, White, Female, 0, 0, 40, Guatemala, <=50K
+40, Local-gov, 24763, Some-college, 10, Divorced, Transport-moving, Unmarried, White, Male, 6849, 0, 40, United-States, <=50K
+43, State-gov, 41834, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 38, United-States, >50K
+24, Private, 113466, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 130856, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K
+61, Self-emp-not-inc, 268797, HS-grad, 9, Married-civ-spouse, Other-service, Wife, Black, Female, 0, 0, 17, United-States, <=50K
+48, Private, 202117, 11th, 7, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 34, United-States, <=50K
+19, Private, 280146, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+30, Private, 70377, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+24, Private, 236696, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+39, Local-gov, 222572, Masters, 14, Never-married, Prof-specialty, Unmarried, White, Female, 0, 0, 43, United-States, <=50K
+46, Self-emp-inc, 110702, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 2036, 0, 60, United-States, <=50K
+40, Private, 96129, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 72, United-States, >50K
+27, Local-gov, 200492, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+25, Private, 193820, Masters, 14, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+31, Private, 454508, 11th, 7, Never-married, Craft-repair, Not-in-family, White, Male, 0, 2001, 40, United-States, <=50K
+58, Private, 220789, Bachelors, 13, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+33, Private, 101345, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 42, Canada, >50K
+40, Private, 140559, HS-grad, 9, Widowed, Other-service, Unmarried, White, Female, 0, 0, 25, United-States, <=50K
+40, Self-emp-inc, 64885, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 70, United-States, >50K
+31, Private, 402361, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 143582, HS-grad, 9, Separated, Other-service, Unmarried, Asian-Pac-Islander, Female, 0, 0, 48, China, <=50K
+49, Private, 185385, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K
+24, Private, 112706, Assoc-voc, 11, Never-married, Tech-support, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+46, Private, 130364, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+58, Local-gov, 147428, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+20, Private, 205895, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+65, ?, 273569, HS-grad, 9, Widowed, ?, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+43, Private, 153160, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K
+48, Self-emp-not-inc, 167918, Masters, 14, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 50, India, <=50K
+41, Private, 195661, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 54, United-States, <=50K
+27, State-gov, 146243, Some-college, 10, Separated, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+52, ?, 105428, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 12, United-States, <=50K
+26, Private, 149943, HS-grad, 9, Never-married, Other-service, Other-relative, Asian-Pac-Islander, Male, 0, 0, 60, ?, <=50K
+52, Local-gov, 246197, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+52, Local-gov, 192563, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K
+19, Private, 244115, HS-grad, 9, Never-married, Other-service, Own-child, Black, Male, 0, 0, 30, United-States, <=50K
+39, Local-gov, 98587, Some-college, 10, Divorced, Prof-specialty, Own-child, White, Female, 0, 0, 45, United-States, <=50K
+47, Private, 145886, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+27, Private, 244315, HS-grad, 9, Divorced, Craft-repair, Other-relative, Other, Male, 0, 0, 40, United-States, <=50K
+48, Private, 192779, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+50, Private, 209464, HS-grad, 9, Separated, Other-service, Unmarried, White, Female, 0, 0, 35, United-States, <=50K
+60, Private, 25141, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K
+28, Private, 405793, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 45, United-States, >50K
+47, Federal-gov, 53498, HS-grad, 9, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+69, ?, 476653, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 20, United-States, <=50K
+40, Self-emp-not-inc, 162312, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 66, South, <=50K
+37, Private, 277022, HS-grad, 9, Never-married, Handlers-cleaners, Unmarried, White, Female, 3887, 0, 40, Nicaragua, <=50K
+41, State-gov, 109762, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 123031, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 48, Trinadad&Tobago, <=50K
+46, Federal-gov, 119890, Assoc-voc, 11, Separated, Tech-support, Not-in-family, Other, Female, 0, 0, 30, United-States, <=50K
+21, Self-emp-not-inc, 409230, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+44, Private, 223308, Masters, 14, Separated, Sales, Unmarried, White, Female, 0, 0, 48, United-States, <=50K
+38, ?, 129150, 10th, 6, Separated, ?, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+47, Self-emp-not-inc, 119199, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 35, United-States, >50K
+42, Private, 46221, Doctorate, 16, Married-spouse-absent, Other-service, Not-in-family, White, Male, 27828, 0, 60, ?, >50K
+42, Local-gov, 351161, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+56, Private, 174533, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, >50K
+32, Private, 324386, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 126568, Bachelors, 13, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 33, United-States, <=50K
+26, Private, 275703, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+36, Self-emp-not-inc, 219611, Bachelors, 13, Never-married, Sales, Not-in-family, Black, Female, 2174, 0, 50, United-States, <=50K
+49, Private, 200471, 11th, 7, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+65, Private, 155261, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+73, State-gov, 74040, 7th-8th, 4, Divorced, Other-service, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K
+34, Private, 226296, 11th, 7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 211968, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+49, Local-gov, 126446, Some-college, 10, Never-married, Other-service, Unmarried, White, Female, 0, 0, 30, United-States, <=50K
+25, Private, 262885, 11th, 7, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 32, United-States, <=50K
+39, Private, 188069, 9th, 5, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 25, United-States, <=50K
+19, Private, 113546, 11th, 7, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 56, United-States, <=50K
+24, Private, 227070, 10th, 6, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, United-States, <=50K
+34, Private, 136997, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 35, United-States, <=50K
+35, ?, 119006, HS-grad, 9, Widowed, ?, Own-child, White, Female, 0, 0, 38, United-States, <=50K
+21, Private, 212407, HS-grad, 9, Never-married, Machine-op-inspct, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+43, Private, 197810, Masters, 14, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+35, Federal-gov, 35309, Bachelors, 13, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 28, ?, <=50K
+39, Private, 141802, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+48, ?, 184513, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 80, United-States, >50K
+33, Self-emp-not-inc, 124187, Assoc-acdm, 12, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 32, United-States, <=50K
+19, Private, 201743, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 26, United-States, <=50K
+17, Private, 156736, 10th, 6, Never-married, Sales, Unmarried, White, Female, 0, 0, 12, United-States, <=50K
+43, Self-emp-not-inc, 47261, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K
+62, Private, 150693, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 42, United-States, <=50K
+53, Local-gov, 233734, Masters, 14, Divorced, Prof-specialty, Not-in-family, Black, Female, 0, 0, 40, United-States, >50K
+45, State-gov, 35969, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K
+47, Private, 159550, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+30, Private, 190823, Some-college, 10, Never-married, Other-service, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+53, Private, 213378, HS-grad, 9, Separated, Sales, Not-in-family, White, Female, 0, 0, 33, United-States, <=50K
+24, Private, 257500, HS-grad, 9, Separated, Machine-op-inspct, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+41, Local-gov, 488706, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+58, Local-gov, 239405, 5th-6th, 3, Divorced, Other-service, Other-relative, Black, Female, 0, 0, 40, Haiti, <=50K
+27, Federal-gov, 105189, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Male, 4865, 0, 50, United-States, <=50K
+63, State-gov, 109735, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K
+50, Private, 172942, Some-college, 10, Divorced, Other-service, Own-child, White, Male, 0, 0, 28, United-States, <=50K
+43, Local-gov, 209899, Masters, 14, Never-married, Tech-support, Not-in-family, Black, Female, 8614, 0, 47, United-States, >50K
+29, Self-emp-inc, 87745, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+41, Private, 187881, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 3942, 0, 40, United-States, <=50K
+55, Private, 234125, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 272944, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+23, Local-gov, 129232, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 100345, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Male, 13550, 0, 55, United-States, >50K
+58, Self-emp-not-inc, 195835, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+25, Private, 251854, 11th, 7, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+40, Private, 103474, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 30, United-States, <=50K
+38, Private, 22042, Assoc-voc, 11, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 39, United-States, <=50K
+37, Private, 343721, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+19, Private, 232368, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+55, Private, 174478, 10th, 6, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 29, United-States, <=50K
+55, Private, 282023, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 50, United-States, >50K
+28, Private, 274690, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+53, Private, 251675, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, El-Salvador, <=50K
+32, ?, 647882, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, ?, <=50K
+60, Private, 128367, Some-college, 10, Divorced, Prof-specialty, Unmarried, White, Male, 3325, 0, 42, United-States, <=50K
+32, Private, 37380, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 38, United-States, <=50K
+34, Private, 173730, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K
+49, Private, 353824, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, >50K
+21, Private, 225890, Some-college, 10, Never-married, Other-service, Other-relative, White, Female, 0, 0, 30, United-States, <=50K
+24, State-gov, 147147, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 20, United-States, <=50K
+53, Private, 233780, Assoc-voc, 11, Divorced, Adm-clerical, Not-in-family, Black, Female, 2202, 0, 40, United-States, <=50K
+29, Private, 394927, Assoc-voc, 11, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, ?, <=50K
+34, Local-gov, 188682, Bachelors, 13, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+52, ?, 115209, Prof-school, 15, Married-spouse-absent, ?, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, Vietnam, <=50K
+41, Private, 277192, 5th-6th, 3, Married-civ-spouse, Farming-fishing, Wife, White, Female, 0, 0, 40, Mexico, <=50K
+21, Private, 314182, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+43, Private, 220776, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 35, United-States, >50K
+31, Local-gov, 189269, HS-grad, 9, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 35429, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 2042, 40, United-States, <=50K
+42, Private, 154374, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2415, 60, United-States, >50K
+62, Private, 161460, Bachelors, 13, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+51, Private, 251487, 7th-8th, 4, Widowed, Machine-op-inspct, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K
+30, Private, 177531, HS-grad, 9, Never-married, Sales, Unmarried, Black, Female, 0, 0, 25, United-States, <=50K
+24, Private, 53942, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 113481, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+57, Private, 361324, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+46, Private, 330087, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K
+33, Private, 276221, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+42, Private, 121055, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+62, Private, 118696, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+64, Self-emp-not-inc, 289741, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 20, United-States, <=50K
+18, Private, 238401, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+43, Private, 262038, 5th-6th, 3, Married-spouse-absent, Farming-fishing, Unmarried, White, Male, 0, 0, 35, Mexico, <=50K
+62, Self-emp-not-inc, 26911, 7th-8th, 4, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 66, United-States, <=50K
+29, Private, 161155, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K
+43, Private, 252519, Bachelors, 13, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, Haiti, >50K
+39, Private, 43712, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 40, United-States, >50K
+69, ?, 167826, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 188900, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K
+44, Private, 120057, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 4386, 0, 45, United-States, >50K
+25, Private, 134113, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+47, Local-gov, 165822, Some-college, 10, Divorced, Transport-moving, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+17, Private, 99161, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 8, United-States, <=50K
+41, Local-gov, 74581, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Male, 0, 0, 65, United-States, <=50K
+19, Private, 304643, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+57, Private, 121821, 1st-4th, 2, Married-civ-spouse, Other-service, Husband, Other, Male, 0, 0, 40, Dominican-Republic, <=50K
+25, Private, 154863, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Black, Male, 0, 0, 35, United-States, <=50K
+37, Local-gov, 365430, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, Canada, >50K
+29, Private, 183111, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 50178, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+35, Private, 186845, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K
+52, Private, 159908, 12th, 8, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+41, Private, 162189, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Female, 1831, 0, 40, Peru, <=50K
+29, Private, 128509, HS-grad, 9, Married-spouse-absent, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 38, El-Salvador, <=50K
+23, Private, 143032, Masters, 14, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 36, United-States, <=50K
+31, Private, 382368, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 210013, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K
+19, Private, 293928, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+21, Private, 208503, Some-college, 10, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 10, United-States, <=50K
+37, State-gov, 191841, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 8614, 0, 40, United-States, >50K
+49, Self-emp-not-inc, 355978, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 35, United-States, >50K
+64, Local-gov, 202738, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 35, United-States, <=50K
+37, Local-gov, 144322, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 43, United-States, <=50K
+70, Self-emp-not-inc, 155141, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 2377, 12, United-States, >50K
+22, Private, 160120, 10th, 6, Never-married, Transport-moving, Own-child, Asian-Pac-Islander, Male, 0, 0, 30, United-States, <=50K
+29, Self-emp-inc, 190450, HS-grad, 9, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Germany, <=50K
+37, Private, 212900, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 115677, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 252250, 11th, 7, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K
+27, Private, 212041, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+58, State-gov, 198145, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 35, United-States, >50K
+60, Local-gov, 113658, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 35, United-States, <=50K
+20, Private, 32426, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K
+51, Private, 98791, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+37, Private, 203828, 9th, 5, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 65, United-States, <=50K
+22, State-gov, 186634, 12th, 8, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, >50K
+56, Self-emp-not-inc, 125147, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K
+26, Private, 247455, Bachelors, 13, Married-civ-spouse, Sales, Wife, White, Female, 5178, 0, 42, United-States, >50K
+19, Private, 97215, Some-college, 10, Separated, Sales, Unmarried, White, Female, 0, 0, 25, United-States, <=50K
+37, Private, 330826, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 30, United-States, <=50K
+27, Private, 200802, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+27, Private, 156266, HS-grad, 9, Never-married, Sales, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 20, United-States, <=50K
+52, Self-emp-not-inc, 72257, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K
+45, Private, 363087, HS-grad, 9, Separated, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+28, Private, 25955, Some-college, 10, Never-married, Craft-repair, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K
+20, Private, 334633, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+28, Private, 109162, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+44, Private, 569761, Assoc-voc, 11, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+30, Private, 209900, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+26, State-gov, 272986, Assoc-acdm, 12, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 8, United-States, <=50K
+55, ?, 52267, Masters, 14, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 18, United-States, <=50K
+46, Private, 82946, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+51, Private, 104651, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+25, Local-gov, 58441, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+43, Local-gov, 269733, HS-grad, 9, Separated, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+19, ?, 128453, HS-grad, 9, Never-married, ?, Own-child, White, Female, 0, 0, 28, United-States, <=50K
+36, Private, 179468, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 183081, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+48, Private, 102938, Bachelors, 13, Never-married, Other-service, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, Vietnam, <=50K
+30, ?, 157289, 11th, 7, Never-married, ?, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 359828, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 44, United-States, >50K
+30, Private, 155659, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 36, United-States, <=50K
+24, Private, 585203, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 7688, 0, 45, United-States, >50K
+62, Private, 173601, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+41, Self-emp-not-inc, 214541, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 1590, 40, United-States, <=50K
+49, Self-emp-not-inc, 163352, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 85, United-States, >50K
+36, Self-emp-not-inc, 153976, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K
+47, Local-gov, 247676, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 5455, 0, 45, United-States, <=50K
+49, State-gov, 155372, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+52, Private, 329733, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+52, Private, 162576, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K
+26, Private, 176520, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 53, United-States, <=50K
+51, State-gov, 226885, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+18, Private, 120781, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+30, Private, 375827, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+46, Private, 205504, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K
+28, Private, 198813, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+48, Self-emp-inc, 254291, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 50, United-States, >50K
+62, Private, 159908, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 38, United-States, >50K
+49, Private, 40000, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 4064, 0, 44, United-States, <=50K
+69, Private, 102874, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K
+35, Private, 117381, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 8614, 0, 45, United-States, >50K
+78, Private, 180239, Masters, 14, Widowed, Craft-repair, Unmarried, Asian-Pac-Islander, Male, 0, 0, 40, South, <=50K
+61, Private, 539563, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+24, Private, 261561, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+29, Private, 81057, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+36, Self-emp-not-inc, 160120, Bachelors, 13, Married-civ-spouse, Sales, Husband, Other, Male, 0, 0, 45, ?, <=50K
+17, Private, 41979, 10th, 6, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 275110, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 80, United-States, >50K
+64, Private, 265661, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+33, Self-emp-not-inc, 193246, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 55, France, <=50K
+32, Private, 236543, 12th, 8, Married-civ-spouse, Craft-repair, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K
+19, Private, 29510, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+42, State-gov, 105804, 11th, 7, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 194604, Bachelors, 13, Never-married, Sales, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+23, Private, 1038553, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, Black, Male, 0, 0, 45, United-States, <=50K
+51, Local-gov, 209320, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 3325, 0, 40, United-States, <=50K
+31, Private, 193231, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 3325, 0, 60, United-States, <=50K
+44, Private, 307468, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 29, United-States, >50K
+38, Private, 255941, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 10520, 0, 50, United-States, >50K
+44, Local-gov, 107845, Assoc-acdm, 12, Divorced, Protective-serv, Not-in-family, White, Female, 0, 0, 56, United-States, >50K
+44, Self-emp-not-inc, 567788, 5th-6th, 3, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+38, Private, 91857, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 44, United-States, <=50K
+36, Private, 732569, 9th, 5, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+29, Private, 86613, 1st-4th, 2, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 20, El-Salvador, <=50K
+46, Private, 35961, Assoc-acdm, 12, Divorced, Sales, Not-in-family, White, Female, 0, 0, 25, Germany, <=50K
+47, Private, 114754, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 235124, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 99999, 0, 40, United-States, >50K
+37, Local-gov, 218490, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 7688, 0, 35, United-States, >50K
+27, Private, 329426, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+43, Private, 181015, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 50, United-States, <=50K
+44, Self-emp-not-inc, 264740, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+31, Private, 381153, Some-college, 10, Never-married, Exec-managerial, Unmarried, White, Male, 0, 0, 60, United-States, <=50K
+34, Private, 189759, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 45, United-States, >50K
+39, Private, 230467, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 1092, 40, Germany, <=50K
+36, Private, 218542, Some-college, 10, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+57, Private, 298507, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 3103, 0, 40, United-States, >50K
+78, Private, 111189, 7th-8th, 4, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 35, Dominican-Republic, <=50K
+24, Private, 168997, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+39, Private, 168894, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+21, Private, 149809, Assoc-acdm, 12, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 344073, HS-grad, 9, Separated, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+22, Private, 416165, Some-college, 10, Never-married, Sales, Unmarried, White, Female, 0, 0, 32, United-States, <=50K
+36, Private, 41490, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+61, Private, 40269, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+67, ?, 243256, 9th, 5, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 15, United-States, <=50K
+42, Private, 250536, Some-college, 10, Separated, Other-service, Unmarried, Black, Female, 0, 0, 21, Haiti, <=50K
+49, Federal-gov, 105586, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, >50K
+58, Private, 51499, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+37, Local-gov, 189878, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 60, United-States, <=50K
+39, Private, 179481, HS-grad, 9, Never-married, Tech-support, Not-in-family, White, Male, 4650, 0, 44, United-States, <=50K
+25, Private, 299765, Some-college, 10, Separated, Adm-clerical, Other-relative, Black, Female, 0, 0, 40, Jamaica, <=50K
+45, Self-emp-inc, 155664, 5th-6th, 3, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, ?, >50K
+30, Private, 54608, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+49, ?, 174702, Some-college, 10, Never-married, ?, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+36, Self-emp-not-inc, 285020, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 2885, 0, 40, United-States, <=50K
+23, Private, 201145, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K
+51, Private, 125796, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 35, Jamaica, <=50K
+55, Private, 249072, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K
+35, Private, 99156, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+45, State-gov, 94754, Masters, 14, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, India, <=50K
+36, Private, 111128, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 48, United-States, >50K
+32, Local-gov, 157887, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+39, Private, 74194, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, <=50K
+47, Self-emp-inc, 168191, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+49, Private, 28334, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+52, Private, 84278, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 55, ?, >50K
+44, Private, 721161, Some-college, 10, Separated, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+36, Private, 188069, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+40, Private, 145178, Some-college, 10, Divorced, Craft-repair, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K
+17, Private, 52967, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 0, 6, United-States, <=50K
+18, Private, 177578, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 38, United-States, <=50K
+30, Self-emp-inc, 185384, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 25, United-States, <=50K
+66, Private, 66008, HS-grad, 9, Widowed, Priv-house-serv, Not-in-family, White, Female, 0, 0, 50, England, <=50K
+59, Private, 329059, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+30, Local-gov, 348802, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+50, Private, 34233, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K
+24, Private, 509629, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+28, Private, 27956, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 99, Philippines, <=50K
+44, Local-gov, 83286, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K
+25, Private, 309098, Assoc-voc, 11, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+45, Private, 188950, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+20, Private, 224217, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+67, Private, 222899, Assoc-voc, 11, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+40, Self-emp-not-inc, 123306, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K
+52, Federal-gov, 279337, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 347166, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, >50K
+37, Local-gov, 251396, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, Canada, >50K
+17, Self-emp-inc, 143034, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 4, United-States, <=50K
+25, Private, 57635, Assoc-voc, 11, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 42, United-States, >50K
+35, Local-gov, 162651, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, Puerto-Rico, <=50K
+63, Private, 28334, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, >50K
+38, Local-gov, 84570, Some-college, 10, Never-married, Adm-clerical, Own-child, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K
+33, Private, 181091, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 60, Iran, >50K
+51, Local-gov, 117496, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K
+64, State-gov, 216160, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, Columbia, >50K
+50, Self-emp-inc, 204447, Some-college, 10, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+18, Private, 374969, 10th, 6, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 56, United-States, <=50K
+67, Private, 35015, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 99, United-States, <=50K
+46, Private, 179869, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+60, Self-emp-not-inc, 137733, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K
+29, Private, 193125, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+30, Private, 103649, Some-college, 10, Never-married, Other-service, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+56, State-gov, 54260, Doctorate, 16, Married-civ-spouse, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 2885, 0, 40, China, <=50K
+29, Private, 197932, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Wife, White, Female, 0, 0, 40, Mexico, >50K
+37, Private, 249720, Bachelors, 13, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 27, United-States, <=50K
+55, Private, 223613, 1st-4th, 2, Divorced, Priv-house-serv, Unmarried, White, Female, 0, 0, 30, Cuba, <=50K
+24, Private, 259865, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+21, Private, 301694, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 35, Mexico, <=50K
+46, Self-emp-inc, 276934, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 70, United-States, >50K
+25, Private, 395512, 12th, 8, Married-civ-spouse, Machine-op-inspct, Other-relative, Other, Male, 0, 0, 40, Mexico, <=50K
+40, Private, 168071, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 28, United-States, <=50K
+23, Private, 45317, Some-college, 10, Separated, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+43, Self-emp-not-inc, 311177, Some-college, 10, Never-married, Transport-moving, Not-in-family, Black, Male, 0, 0, 30, United-States, <=50K
+29, Self-emp-not-inc, 190636, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male, 0, 1485, 60, United-States, >50K
+59, Private, 221336, 10th, 6, Widowed, Other-service, Other-relative, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K
+18, Private, 120691, Some-college, 10, Never-married, Other-service, Own-child, Black, Male, 0, 0, 35, ?, <=50K
+28, Private, 107389, HS-grad, 9, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 32, United-States, <=50K
+17, Private, 293440, 11th, 7, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+53, Private, 145409, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K
+22, Private, 213902, 5th-6th, 3, Never-married, Priv-house-serv, Other-relative, White, Female, 0, 0, 40, El-Salvador, <=50K
+63, Private, 100099, HS-grad, 9, Married-spouse-absent, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 191856, Masters, 14, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 45, United-States, >50K
+40, Local-gov, 233891, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K
+61, Self-emp-not-inc, 96073, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, England, >50K
+35, Private, 474136, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 1408, 40, United-States, <=50K
+43, Self-emp-not-inc, 355856, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 50, Philippines, <=50K
+20, ?, 144685, Some-college, 10, Never-married, ?, Own-child, Asian-Pac-Islander, Female, 0, 1602, 40, Taiwan, <=50K
+48, Self-emp-not-inc, 139212, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+56, State-gov, 143931, Bachelors, 13, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+51, Federal-gov, 160703, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 191291, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+44, Private, 68729, Some-college, 10, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 1902, 40, United-States, >50K
+61, Private, 119986, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, ?, >50K
+37, Private, 227545, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 44, United-States, >50K
+36, Private, 32776, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 40, United-States, >50K
+34, Private, 228881, Some-college, 10, Separated, Machine-op-inspct, Not-in-family, Other, Male, 0, 0, 40, United-States, <=50K
+23, Private, 84648, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+63, Federal-gov, 101996, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+63, ?, 68954, HS-grad, 9, Widowed, ?, Not-in-family, Black, Female, 0, 0, 11, United-States, <=50K
+47, Local-gov, 285060, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 41, United-States, >50K
+55, Self-emp-inc, 209569, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 50, United-States, >50K
+31, Local-gov, 331126, Bachelors, 13, Never-married, Protective-serv, Own-child, Black, Male, 0, 0, 48, United-States, <=50K
+27, Private, 279872, Some-college, 10, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+58, Private, 150560, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, White, Female, 14084, 0, 40, United-States, >50K
+28, Local-gov, 185647, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 48, United-States, <=50K
+52, Private, 128871, 7th-8th, 4, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 64, United-States, <=50K
+31, Federal-gov, 386331, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 50, United-States, <=50K
+53, Private, 117814, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 38, United-States, <=50K
+43, Private, 220609, Some-college, 10, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+43, Local-gov, 117022, HS-grad, 9, Married-spouse-absent, Farming-fishing, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K
+50, Self-emp-inc, 176751, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 80, United-States, >50K
+68, ?, 76371, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 35, United-States, <=50K
+37, Private, 80410, 11th, 7, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 127202, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 121471, 11th, 7, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+22, Private, 219086, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K
+59, Private, 271571, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 15024, 0, 50, United-States, >50K
+30, Private, 241583, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 374253, HS-grad, 9, Separated, Other-service, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K
+30, Private, 214993, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+50, Local-gov, 199995, Bachelors, 13, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+38, Private, 450924, 12th, 8, Married-civ-spouse, Other-service, Husband, White, Male, 3942, 0, 40, United-States, <=50K
+29, Private, 120359, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+76, Private, 93125, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 1424, 0, 24, United-States, <=50K
+21, Private, 187513, Assoc-voc, 11, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+65, Private, 243569, Some-college, 10, Widowed, Other-service, Unmarried, White, Female, 0, 0, 24, United-States, <=50K
+43, Private, 295510, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+29, Private, 29732, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 24, United-States, <=50K
+32, Private, 211743, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+37, Private, 251396, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 65, United-States, >50K
+64, Private, 477697, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 16, United-States, <=50K
+49, Private, 151584, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+44, Private, 193882, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+68, ?, 117542, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 1409, 0, 15, United-States, <=50K
+34, Private, 242460, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 40, United-States, >50K
+35, Private, 411395, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 36, United-States, <=50K
+53, Private, 191025, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 43, United-States, <=50K
+24, Private, 154571, Assoc-voc, 11, Never-married, Sales, Unmarried, Asian-Pac-Islander, Male, 0, 0, 50, South, <=50K
+31, Private, 208657, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+25, Private, 29599, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 38, United-States, <=50K
+36, Private, 423711, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, <=50K
+29, Private, 122000, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+37, Private, 148581, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K
+42, Self-emp-not-inc, 222978, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+30, Private, 149118, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+32, Self-emp-inc, 218407, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 70, Cuba, <=50K
+47, Self-emp-not-inc, 112200, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, Black, Male, 10520, 0, 45, United-States, >50K
+44, Private, 85604, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+19, Private, 111232, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 99199, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 48, United-States, <=50K
+51, Private, 199995, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K
+69, Private, 122850, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 16, United-States, <=50K
+73, ?, 90557, 11th, 7, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 8, United-States, <=50K
+18, ?, 271935, 11th, 7, Never-married, ?, Other-relative, White, Female, 0, 0, 20, United-States, <=50K
+33, Self-emp-not-inc, 361497, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+22, Local-gov, 399020, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K
+33, Private, 345277, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 45, United-States, >50K
+20, Federal-gov, 55233, Some-college, 10, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+28, Self-emp-not-inc, 200515, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 188119, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+27, Private, 176683, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K
+22, Private, 309178, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+67, Self-emp-not-inc, 40021, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 35, United-States, <=50K
+31, Self-emp-inc, 49923, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+36, ?, 36635, Some-college, 10, Never-married, ?, Unmarried, White, Female, 0, 0, 25, United-States, <=50K
+43, Federal-gov, 325706, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 50, India, >50K
+33, Private, 124407, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+37, Self-emp-not-inc, 301568, HS-grad, 9, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 35, United-States, >50K
+27, Private, 339956, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 60, United-States, <=50K
+36, Private, 176335, Some-college, 10, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 198452, Assoc-acdm, 12, Divorced, Sales, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+63, Private, 213945, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 40, Iran, >50K
+48, Private, 171807, Bachelors, 13, Divorced, Other-service, Unmarried, White, Female, 0, 0, 56, United-States, >50K
+25, Private, 362826, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 45, United-States, <=50K
+41, Self-emp-not-inc, 344329, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 10, United-States, <=50K
+26, Private, 137678, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 175424, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+33, State-gov, 73296, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 1831, 0, 40, United-States, <=50K
+30, State-gov, 137613, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 17, Taiwan, <=50K
+67, Self-emp-not-inc, 354405, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+32, Private, 130057, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K
+48, Self-emp-not-inc, 362883, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 60, United-States, >50K
+51, Private, 49017, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K
+39, Private, 149943, Masters, 14, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, China, <=50K
+40, Self-emp-inc, 99185, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K
+40, Private, 294708, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, >50K
+19, Private, 228238, HS-grad, 9, Never-married, Machine-op-inspct, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K
+28, Private, 156819, HS-grad, 9, Divorced, Handlers-cleaners, Unmarried, White, Female, 0, 0, 36, United-States, <=50K
+47, Private, 332727, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K
+20, Private, 289944, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+41, Private, 116103, HS-grad, 9, Widowed, Exec-managerial, Other-relative, White, Male, 914, 0, 40, United-States, <=50K
+29, Private, 24153, Some-college, 10, Married-civ-spouse, Other-service, Wife, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K
+40, Private, 273425, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+61, Private, 231183, HS-grad, 9, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+25, Private, 313930, 11th, 7, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K
+26, Private, 114483, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+43, Private, 162108, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+17, Private, 168807, 7th-8th, 4, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+43, Local-gov, 143828, Masters, 14, Divorced, Prof-specialty, Unmarried, Black, Female, 9562, 0, 40, United-States, >50K
+73, Private, 242769, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 3471, 0, 40, England, <=50K
+46, Local-gov, 111558, Some-college, 10, Divorced, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+19, Private, 69770, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+37, Private, 291981, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 102460, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+47, Private, 151584, HS-grad, 9, Divorced, Sales, Own-child, White, Male, 0, 1876, 40, United-States, <=50K
+47, Local-gov, 287320, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 115677, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 239632, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+33, Private, 409172, Bachelors, 13, Married-civ-spouse, Exec-managerial, Own-child, White, Male, 0, 0, 55, United-States, <=50K
+20, Private, 186849, HS-grad, 9, Never-married, Transport-moving, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 118861, 10th, 6, Married-civ-spouse, Craft-repair, Wife, Other, Female, 0, 0, 48, Guatemala, <=50K
+26, Private, 142689, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, ?, <=50K
+41, State-gov, 170924, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+67, ?, 274451, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+43, Private, 153489, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K
+35, Private, 186489, 9th, 5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 46, United-States, <=50K
+18, Private, 192409, 12th, 8, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+55, State-gov, 337599, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+44, Private, 195545, HS-grad, 9, Divorced, Machine-op-inspct, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+64, Private, 61892, HS-grad, 9, Widowed, Priv-house-serv, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K
+34, Self-emp-not-inc, 175697, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 75, United-States, <=50K
+38, Private, 80303, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K
+25, Private, 419658, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 8, United-States, <=50K
+21, Private, 319163, Some-college, 10, Never-married, Transport-moving, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+37, Private, 126743, 1st-4th, 2, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 53, Mexico, <=50K
+39, Private, 301568, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+34, Private, 120461, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+23, Private, 268145, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+54, Private, 257337, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+49, Self-emp-inc, 213354, Masters, 14, Separated, Exec-managerial, Not-in-family, White, Male, 0, 0, 70, United-States, >50K
+25, Private, 303431, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K
+51, Private, 124963, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K
+29, Private, 158218, HS-grad, 9, Never-married, Farming-fishing, Unmarried, White, Male, 0, 0, 35, United-States, <=50K
+27, State-gov, 553473, Bachelors, 13, Married-civ-spouse, Protective-serv, Wife, Black, Female, 0, 0, 48, United-States, <=50K
+53, Private, 46155, HS-grad, 9, Married-civ-spouse, Priv-house-serv, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+68, Private, 138714, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K
+56, Private, 231781, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+30, Private, 496414, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, ?, <=50K
+24, Private, 19410, HS-grad, 9, Divorced, Sales, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 48, United-States, <=50K
+70, ?, 28471, 9th, 5, Widowed, ?, Unmarried, White, Female, 0, 0, 25, United-States, <=50K
+24, Private, 185821, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+74, ?, 272667, Assoc-acdm, 12, Widowed, ?, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+23, ?, 194031, Some-college, 10, Never-married, ?, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K
+41, Local-gov, 144995, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, <=50K
+45, Private, 162494, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 19, United-States, <=50K
+35, Private, 171968, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 232569, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+45, Private, 161819, 11th, 7, Separated, Adm-clerical, Unmarried, Black, Female, 0, 0, 25, United-States, <=50K
+18, Private, 123343, 11th, 7, Never-married, Sales, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+49, Private, 105449, Bachelors, 13, Never-married, Priv-house-serv, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K
+49, Private, 181717, Assoc-voc, 11, Separated, Prof-specialty, Own-child, White, Female, 0, 0, 36, United-States, <=50K
+45, Local-gov, 102359, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 37, United-States, <=50K
+27, Private, 72887, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K
+28, Private, 154571, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K
+35, Private, 255191, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K
+33, Private, 174789, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 110402, 11th, 7, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 35, United-States, <=50K
+19, Private, 208513, HS-grad, 9, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 121904, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 28, United-States, <=50K
+28, Private, 34335, HS-grad, 9, Divorced, Sales, Not-in-family, Amer-Indian-Eskimo, Male, 14084, 0, 40, United-States, >50K
+49, Private, 59380, Some-college, 10, Married-spouse-absent, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+61, ?, 135285, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 2603, 32, United-States, <=50K
+39, Self-emp-inc, 126675, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 25, United-States, <=50K
+22, Private, 217363, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+42, Private, 91836, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 184813, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+18, Private, 178142, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+49, Local-gov, 102359, 9th, 5, Widowed, Handlers-cleaners, Unmarried, White, Male, 0, 2231, 40, United-States, >50K
+33, Self-emp-inc, 281832, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, Cuba, >50K
+28, Private, 96226, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+42, Private, 195124, 7th-8th, 4, Married-spouse-absent, Prof-specialty, Other-relative, White, Male, 0, 0, 35, Puerto-Rico, <=50K
+20, Private, 56322, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 2176, 0, 25, United-States, <=50K
+50, Local-gov, 97449, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 48, United-States, <=50K
+32, Private, 339773, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+31, Federal-gov, 210926, HS-grad, 9, Separated, Handlers-cleaners, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+29, Private, 199499, Assoc-voc, 11, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+46, Federal-gov, 190729, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+32, Self-emp-inc, 191385, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 77, United-States, <=50K
+61, Private, 193479, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 24, United-States, <=50K
+43, Self-emp-not-inc, 225165, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K
+35, Private, 346766, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+39, State-gov, 152307, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+18, ?, 79990, 11th, 7, Never-married, ?, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+42, Self-emp-not-inc, 170649, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K
+23, Private, 197207, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+32, Private, 229732, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K
+52, Private, 204402, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 85, United-States, >50K
+36, Private, 181065, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K
+38, Private, 179579, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, ?, >50K
+50, Private, 237729, HS-grad, 9, Widowed, Sales, Not-in-family, White, Female, 0, 2444, 72, United-States, >50K
+23, ?, 164574, Assoc-acdm, 12, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+71, Private, 179574, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 12, United-States, >50K
+27, Private, 191782, HS-grad, 9, Never-married, Other-service, Other-relative, Black, Female, 0, 0, 30, United-States, <=50K
+56, Private, 146660, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K
+28, Self-emp-not-inc, 115945, Some-college, 10, Never-married, Prof-specialty, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+45, Private, 210875, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 137898, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, United-States, <=50K
+28, Local-gov, 216965, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K
+18, Private, 201554, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K
+62, Private, 57970, 7th-8th, 4, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 208378, 12th, 8, Separated, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+39, Private, 61343, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 60, United-States, <=50K
+24, Private, 283872, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Black, Male, 0, 0, 20, United-States, <=50K
+58, Private, 225603, 9th, 5, Divorced, Farming-fishing, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+48, Private, 401333, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+57, Private, 278228, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+31, Private, 145377, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K
+25, Private, 120238, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 187215, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 15024, 0, 36, United-States, >50K
+29, Self-emp-not-inc, 144063, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 72, United-States, <=50K
+38, Private, 238721, Assoc-acdm, 12, Divorced, Exec-managerial, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+21, Private, 164920, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+34, Self-emp-not-inc, 152493, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 70, United-States, <=50K
+50, Private, 92968, Bachelors, 13, Never-married, Sales, Unmarried, White, Female, 0, 0, 32, United-States, <=50K
+50, Private, 136836, HS-grad, 9, Divorced, Prof-specialty, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+49, Federal-gov, 216453, Assoc-voc, 11, Divorced, Exec-managerial, Unmarried, Black, Female, 0, 0, 45, United-States, <=50K
+30, Private, 349148, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K
+29, State-gov, 309620, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 20, Taiwan, <=50K
+22, State-gov, 347803, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Other, Male, 0, 0, 20, United-States, <=50K
+42, Private, 85995, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K
+19, ?, 167428, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 164569, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 48, United-States, <=50K
+42, Self-emp-not-inc, 308279, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 21, United-States, <=50K
+20, Private, 56322, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+51, ?, 203015, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+50, Private, 211654, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+27, Self-emp-inc, 120126, 9th, 5, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 239043, 11th, 7, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+61, ?, 179761, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, >50K
+20, Private, 312017, Some-college, 10, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 40, Germany, <=50K
+51, Private, 257485, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+52, Private, 49243, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 229716, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K
+31, Private, 341672, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 60, India, <=50K
+24, Private, 32311, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K
+56, Private, 275236, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+19, ?, 400356, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 184596, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 3942, 0, 50, United-States, <=50K
+18, Private, 186909, HS-grad, 9, Never-married, Sales, Other-relative, White, Female, 1055, 0, 30, United-States, <=50K
+43, Private, 152420, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 50, United-States, <=50K
+43, State-gov, 261929, Doctorate, 16, Married-spouse-absent, Prof-specialty, Unmarried, White, Male, 25236, 0, 64, United-States, >50K
+21, Private, 235442, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+51, Private, 161691, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K
+20, ?, 173945, 11th, 7, Married-civ-spouse, ?, Other-relative, White, Female, 0, 0, 39, United-States, <=50K
+41, Private, 355918, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 65, United-States, >50K
+45, State-gov, 198660, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+20, Private, 122649, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+28, Private, 421967, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 60, United-States, >50K
+50, Local-gov, 259377, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 15024, 0, 40, United-States, >50K
+47, Private, 74305, Bachelors, 13, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+80, Self-emp-not-inc, 34340, 7th-8th, 4, Widowed, Farming-fishing, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+47, Self-emp-not-inc, 182752, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 35, Iran, <=50K
+19, ?, 48393, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 84, United-States, <=50K
+45, Private, 34248, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K
+17, Private, 186677, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 12, United-States, <=50K
+37, Private, 167851, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+27, Private, 146460, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+17, Private, 209650, 12th, 8, Never-married, Other-service, Own-child, White, Male, 0, 0, 16, United-States, <=50K
+18, Self-emp-not-inc, 132986, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+57, Private, 94429, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 252406, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+26, Private, 174592, Masters, 14, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+36, Self-emp-not-inc, 151322, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K
+51, Private, 37237, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 80, United-States, >50K
+38, Private, 101192, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+77, ?, 152900, 5th-6th, 3, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 20, United-States, <=50K
+51, Private, 94081, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+24, Private, 329408, 11th, 7, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 106028, HS-grad, 9, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K
+35, ?, 164866, 10th, 6, Divorced, ?, Not-in-family, White, Male, 0, 0, 99, United-States, <=50K
+51, Self-emp-inc, 167793, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 40, United-States, >50K
+28, Private, 138692, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+37, Private, 173968, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+43, Private, 228320, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 96585, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+42, Private, 156580, Bachelors, 13, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, Puerto-Rico, <=50K
+58, Private, 210673, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K
+52, Local-gov, 137753, HS-grad, 9, Married-civ-spouse, Other-service, Wife, Black, Female, 0, 0, 20, United-States, <=50K
+29, Private, 29865, HS-grad, 9, Divorced, Sales, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 50, United-States, <=50K
+27, Private, 196044, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K
+28, Private, 308995, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, Jamaica, <=50K
+59, Private, 159008, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 20, United-States, >50K
+28, Private, 362491, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 94395, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 320047, 10th, 6, Married-spouse-absent, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+54, Private, 98535, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+65, Private, 183170, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K
+18, ?, 331511, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+38, Private, 195686, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+29, Private, 178244, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 127833, HS-grad, 9, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+36, Private, 269722, Masters, 14, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+55, State-gov, 136819, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 205604, 5th-6th, 3, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 30, Mexico, <=50K
+28, Private, 132078, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+20, Private, 234880, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+24, Private, 196816, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 3908, 0, 40, United-States, <=50K
+36, Private, 237943, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K
+68, Self-emp-inc, 140852, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+49, Self-emp-not-inc, 105614, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, >50K
+18, Private, 83492, 7th-8th, 4, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+50, Self-emp-not-inc, 225772, Doctorate, 16, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 60, United-States, >50K
+37, Private, 242713, 12th, 8, Separated, Priv-house-serv, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+60, Private, 355865, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+43, Private, 173316, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+43, Self-emp-inc, 35662, Doctorate, 16, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 70, United-States, >50K
+17, Private, 297246, 11th, 7, Never-married, Priv-house-serv, Own-child, White, Female, 0, 0, 9, United-States, <=50K
+43, Private, 108945, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+39, Private, 112158, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 26, ?, <=50K
+21, Self-emp-not-inc, 57298, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+42, Self-emp-not-inc, 115323, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 7, ?, <=50K
+48, Self-emp-not-inc, 164582, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 7298, 0, 60, United-States, >50K
+56, Private, 295067, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 14084, 0, 45, United-States, >50K
+21, Private, 177265, Assoc-acdm, 12, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+28, Local-gov, 336543, Assoc-acdm, 12, Married-civ-spouse, Protective-serv, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Hong, >50K
+39, Self-emp-not-inc, 52870, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+40, Private, 316820, 7th-8th, 4, Married-civ-spouse, Sales, Husband, White, Male, 4064, 0, 40, United-States, <=50K
+38, Local-gov, 200153, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+59, Private, 453067, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 36, United-States, >50K
+51, Federal-gov, 27166, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K
+19, Private, 299598, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 16, United-States, <=50K
+23, Private, 122048, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+31, Private, 345277, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+42, Private, 113147, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+43, Private, 34007, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+45, Private, 255014, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, >50K
+34, Private, 152667, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 35, United-States, <=50K
+21, Private, 231053, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+34, Private, 103651, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+55, Self-emp-inc, 124137, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+30, Private, 198183, Assoc-voc, 11, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+29, Private, 183627, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 3137, 0, 48, Ireland, <=50K
+19, Private, 466458, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+45, Self-emp-not-inc, 114396, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+42, Private, 186376, Bachelors, 13, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 72, Philippines, >50K
+32, Private, 290964, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 1590, 40, United-States, <=50K
+90, Self-emp-not-inc, 282095, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K
+44, State-gov, 244974, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 44, United-States, >50K
+34, Self-emp-not-inc, 114691, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+35, Private, 107160, 12th, 8, Separated, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+39, Self-emp-not-inc, 142573, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K
+29, Private, 203833, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+24, Private, 47791, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 32, United-States, <=50K
+49, Private, 133729, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 17, United-States, <=50K
+52, Self-emp-not-inc, 135339, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, ?, >50K
+54, Private, 135803, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 15024, 0, 60, South, >50K
+31, Private, 128591, 9th, 5, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+44, Private, 133853, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+18, ?, 137363, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+27, Self-emp-not-inc, 243569, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 119156, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 391114, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 60, United-States, <=50K
+27, Private, 252506, Some-college, 10, Divorced, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+34, State-gov, 117503, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 20, Italy, <=50K
+25, State-gov, 117833, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 19, United-States, <=50K
+39, Private, 294183, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+28, Private, 394927, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K
+51, Self-emp-not-inc, 259323, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 70, United-States, <=50K
+21, ?, 207988, HS-grad, 9, Married-civ-spouse, ?, Other-relative, White, Female, 0, 0, 35, United-States, <=50K
+33, Private, 96635, Some-college, 10, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 26, South, <=50K
+27, Private, 192283, Assoc-voc, 11, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 38, United-States, <=50K
+29, Private, 214881, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+33, State-gov, 167474, 10th, 6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 110713, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+20, Private, 201204, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 197666, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+29, Private, 162002, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+31, Private, 263561, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2246, 45, United-States, >50K
+41, Private, 224799, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+42, Self-emp-not-inc, 89942, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 238685, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+54, Private, 38795, 9th, 5, Separated, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+55, Private, 90414, Bachelors, 13, Married-spouse-absent, Craft-repair, Unmarried, White, Female, 0, 0, 55, Ireland, <=50K
+21, Private, 190805, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 32, United-States, <=50K
+52, Private, 23780, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 45, United-States, >50K
+19, Private, 285263, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 177331, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+22, Private, 347530, HS-grad, 9, Separated, Other-service, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K
+59, Private, 230039, HS-grad, 9, Never-married, Exec-managerial, Unmarried, White, Female, 0, 625, 38, United-States, <=50K
+17, ?, 210547, 10th, 6, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 204752, 12th, 8, Never-married, Sales, Own-child, White, Male, 0, 0, 32, United-States, <=50K
+74, Self-emp-not-inc, 104001, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+45, Private, 253116, 10th, 6, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+36, Private, 169037, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+35, Self-emp-inc, 202027, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+45, Private, 170099, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+42, Self-emp-not-inc, 212847, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 85, United-States, <=50K
+50, State-gov, 307392, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+39, Private, 233428, HS-grad, 9, Divorced, Exec-managerial, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+44, Private, 355728, Some-college, 10, Separated, Exec-managerial, Not-in-family, White, Male, 0, 1980, 45, England, <=50K
+52, Private, 177995, 1st-4th, 2, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 56, Mexico, >50K
+24, Private, 283613, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 43, United-States, <=50K
+56, Self-emp-inc, 184598, 9th, 5, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 99, United-States, <=50K
+27, Private, 185647, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, >50K
+47, Self-emp-inc, 192894, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 45, United-States, >50K
+40, Self-emp-not-inc, 284706, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male, 0, 1977, 60, United-States, >50K
+38, Private, 179579, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 131679, Assoc-voc, 11, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+52, Private, 132973, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 38, United-States, <=50K
+22, Private, 154713, HS-grad, 9, Divorced, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+41, Private, 121718, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Italy, <=50K
+30, Private, 255279, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 20, United-States, <=50K
+55, Private, 202559, Bachelors, 13, Married-civ-spouse, Other-service, Other-relative, Asian-Pac-Islander, Male, 0, 0, 35, Philippines, <=50K
+25, Private, 123095, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 1590, 40, United-States, <=50K
+32, Private, 153326, Bachelors, 13, Married-civ-spouse, Prof-specialty, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 75695, Some-college, 10, Separated, Other-service, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K
+33, Self-emp-inc, 206609, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K
+17, Private, 234780, HS-grad, 9, Never-married, Farming-fishing, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+27, Private, 178778, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+55, Private, 171355, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 20, United-States, <=50K
+63, Federal-gov, 95680, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 18, United-States, >50K
+39, Private, 196673, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 5013, 0, 40, United-States, <=50K
+51, Federal-gov, 73670, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 4386, 0, 52, United-States, >50K
+67, Self-emp-not-inc, 139960, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+41, Self-emp-inc, 397280, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 72, ?, <=50K
+27, Private, 60374, HS-grad, 9, Widowed, Craft-repair, Unmarried, White, Female, 0, 1594, 26, United-States, <=50K
+54, Private, 421561, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+59, Private, 245196, 10th, 6, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, >50K
+18, Private, 27620, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K
+19, Private, 187570, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+31, Private, 102884, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, <=50K
+17, Private, 228399, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 7, United-States, <=50K
+42, Private, 340234, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male, 15024, 0, 40, United-States, >50K
+37, Private, 176293, Some-college, 10, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+51, Local-gov, 108435, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+48, Private, 161187, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 2463, 0, 40, United-States, <=50K
+23, Private, 278391, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 157941, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K
+25, Private, 182866, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+69, Private, 370888, Assoc-acdm, 12, Divorced, Adm-clerical, Not-in-family, White, Female, 2964, 0, 6, Germany, <=50K
+30, Private, 206512, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 44, United-States, <=50K
+33, Private, 357954, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 35, India, <=50K
+28, Private, 189346, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 48, United-States, <=50K
+45, Private, 234652, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+25, Private, 113436, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 15, United-States, <=50K
+37, Private, 204145, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K
+59, Private, 157305, Preschool, 1, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, Dominican-Republic, <=50K
+26, Private, 104045, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+48, Private, 280422, Some-college, 10, Separated, Other-service, Not-in-family, White, Female, 0, 0, 25, Peru, <=50K
+64, Federal-gov, 173754, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+39, Private, 211154, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 50, United-States, <=50K
+24, Private, 321435, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+40, State-gov, 177083, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+46, Private, 178829, Masters, 14, Married-spouse-absent, Exec-managerial, Not-in-family, White, Male, 0, 0, 70, United-States, >50K
+35, Federal-gov, 287658, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 40, United-States, >50K
+43, Private, 209894, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K
+31, Private, 334744, HS-grad, 9, Separated, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 306967, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K
+35, Private, 52187, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+35, Private, 101978, HS-grad, 9, Separated, Transport-moving, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+35, State-gov, 483530, Some-college, 10, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+40, Private, 77357, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+50, Private, 149770, Masters, 14, Never-married, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+48, Self-emp-not-inc, 328606, Prof-school, 15, Divorced, Prof-specialty, Unmarried, White, Male, 14084, 0, 63, United-States, >50K
+70, ?, 172652, Masters, 14, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 8, United-States, <=50K
+46, Private, 188293, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+36, Private, 116608, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 38, United-States, <=50K
+37, State-gov, 348960, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 36, United-States, >50K
+24, Private, 329530, 9th, 5, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, Mexico, <=50K
+47, Local-gov, 93476, Bachelors, 13, Separated, Prof-specialty, Not-in-family, White, Female, 0, 0, 70, United-States, <=50K
+35, Self-emp-not-inc, 195744, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+43, Private, 125833, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Vietnam, <=50K
+18, State-gov, 191117, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+54, Private, 311020, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 50, United-States, <=50K
+62, Private, 210464, HS-grad, 9, Never-married, Other-service, Other-relative, Black, Female, 0, 0, 38, United-States, <=50K
+36, Private, 135289, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, >50K
+27, Private, 156266, 9th, 5, Married-civ-spouse, Farming-fishing, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K
+23, Private, 154210, Some-college, 10, Never-married, Adm-clerical, Other-relative, Asian-Pac-Islander, Male, 0, 0, 14, Puerto-Rico, <=50K
+61, ?, 160625, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 4386, 0, 15, United-States, >50K
+39, Self-emp-not-inc, 331481, Bachelors, 13, Divorced, Craft-repair, Not-in-family, Black, Male, 0, 1669, 60, ?, <=50K
+33, Self-emp-not-inc, 249249, 5th-6th, 3, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K
+28, Private, 261725, 1st-4th, 2, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, Mexico, <=50K
+22, Private, 239612, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+31, Self-emp-not-inc, 226696, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, >50K
+26, Private, 190330, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+44, Private, 193755, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, >50K
+73, Private, 192740, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 30, United-States, <=50K
+44, Private, 201924, Bachelors, 13, Divorced, Sales, Unmarried, White, Female, 0, 0, 35, United-States, <=50K
+35, Private, 77146, Assoc-voc, 11, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+33, Private, 126414, Bachelors, 13, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, ?, <=50K
+27, Private, 43652, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+47, Federal-gov, 227244, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 50, United-States, >50K
+29, Private, 160731, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K
+33, Private, 287878, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 26, United-States, <=50K
+50, Private, 166758, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K
+32, Private, 183811, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 2829, 0, 40, United-States, <=50K
+41, Self-emp-not-inc, 254818, Masters, 14, Divorced, Handlers-cleaners, Unmarried, White, Male, 0, 0, 40, Peru, <=50K
+19, ?, 220517, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+45, Private, 295046, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K
+65, Private, 190568, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 810, 36, United-States, <=50K
+42, State-gov, 211915, Some-college, 10, Separated, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+33, Self-emp-not-inc, 295621, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 25, United-States, >50K
+32, Private, 204567, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 99999, 0, 60, United-States, >50K
+42, Private, 204235, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+49, Private, 186982, Some-college, 10, Separated, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, >50K
+38, Private, 133586, HS-grad, 9, Married-civ-spouse, Protective-serv, Own-child, White, Male, 0, 0, 45, United-States, <=50K
+38, Private, 165930, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K
+37, Private, 164898, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 52, United-States, <=50K
+24, Private, 278155, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+27, Self-emp-not-inc, 115705, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+25, Private, 150553, 9th, 5, Married-spouse-absent, Adm-clerical, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, Vietnam, <=50K
+29, Private, 185127, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K
+46, Private, 201595, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 70, United-States, <=50K
+44, Self-emp-inc, 165815, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 96, United-States, <=50K
+26, Private, 102420, Bachelors, 13, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, South, <=50K
+46, Local-gov, 344172, Assoc-acdm, 12, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 49, United-States, >50K
+38, Private, 222450, Some-college, 10, Separated, Exec-managerial, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 212245, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+22, State-gov, 190625, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 20, United-States, <=50K
+33, Private, 203488, Some-college, 10, Divorced, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+50, Private, 304260, Assoc-acdm, 12, Divorced, Adm-clerical, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K
+31, Local-gov, 243665, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 41, United-States, >50K
+26, Self-emp-not-inc, 189238, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 4, Mexico, <=50K
+42, Private, 77373, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 38, United-States, <=50K
+27, Private, 410351, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 36385, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K
+64, Private, 110150, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K
+43, Private, 198316, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+39, Private, 127772, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+47, Self-emp-not-inc, 199058, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+56, Private, 285730, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 66, United-States, <=50K
+25, Local-gov, 334133, Masters, 14, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+60, State-gov, 97030, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+52, Private, 67090, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 44, United-States, <=50K
+43, Private, 397963, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Male, 594, 0, 16, United-States, <=50K
+46, Private, 182533, Bachelors, 13, Never-married, Adm-clerical, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K
+19, Private, 560804, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+56, Private, 365050, 7th-8th, 4, Never-married, Farming-fishing, Unmarried, Black, Female, 0, 0, 20, United-States, <=50K
+22, Private, 110200, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 150025, 11th, 7, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, ?, <=50K
+39, Private, 299828, 5th-6th, 3, Separated, Sales, Unmarried, Black, Female, 0, 0, 30, Puerto-Rico, <=50K
+28, Private, 109282, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 103435, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+22, Private, 34747, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+39, Private, 137522, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male, 0, 0, 40, ?, >50K
+39, Private, 286789, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+28, Self-emp-not-inc, 211032, 11th, 7, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K
+67, ?, 192916, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 3818, 0, 11, United-States, <=50K
+31, Private, 219318, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 35, Puerto-Rico, <=50K
+50, Private, 112873, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 36069, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 3908, 0, 46, United-States, <=50K
+48, Private, 73434, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, Germany, >50K
+51, Private, 200576, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+54, Private, 172962, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+44, Private, 44006, Assoc-voc, 11, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 234474, Some-college, 10, Never-married, Sales, Own-child, Black, Female, 0, 0, 20, United-States, <=50K
+37, Private, 212826, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+38, Private, 234901, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+59, Federal-gov, 200700, Assoc-acdm, 12, Married-civ-spouse, Farming-fishing, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+59, Self-emp-not-inc, 41258, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K
+51, Private, 249644, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 48, United-States, >50K
+60, ?, 230165, Bachelors, 13, Married-civ-spouse, ?, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+29, Private, 351731, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 114765, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+42, Private, 349884, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K
+28, Self-emp-inc, 204247, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+34, Private, 143392, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+50, Self-emp-not-inc, 37913, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, Italy, >50K
+22, Self-emp-inc, 150683, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 24, United-States, <=50K
+27, Private, 207611, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 52, United-States, <=50K
+45, State-gov, 319666, Prof-school, 15, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 43, United-States, <=50K
+39, Private, 155961, HS-grad, 9, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 38, United-States, <=50K
+25, Local-gov, 117833, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+63, ?, 447079, HS-grad, 9, Never-married, ?, Not-in-family, White, Male, 0, 0, 15, United-States, <=50K
+24, Self-emp-inc, 142404, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+18, Private, 155752, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+19, ?, 252292, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 111450, 12th, 8, Never-married, Other-service, Unmarried, Black, Male, 0, 0, 38, United-States, <=50K
+20, Private, 528616, 5th-6th, 3, Never-married, Other-service, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K
+17, Self-emp-not-inc, 228786, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 0, 24, United-States, <=50K
+63, Self-emp-inc, 80572, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, >50K
+28, Local-gov, 180271, Bachelors, 13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 65, United-States, >50K
+51, Federal-gov, 237819, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+29, Private, 157612, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 3325, 0, 45, United-States, <=50K
+64, Private, 379062, Some-college, 10, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 12, United-States, <=50K
+17, Private, 191910, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 25, United-States, <=50K
+45, Local-gov, 326064, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 6497, 0, 35, United-States, <=50K
+18, Private, 312353, 12th, 8, Never-married, Other-service, Own-child, Black, Male, 0, 0, 20, United-States, <=50K
+31, Local-gov, 213307, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+48, Self-emp-not-inc, 209057, Bachelors, 13, Married-spouse-absent, Sales, Own-child, White, Male, 0, 0, 50, United-States, >50K
+41, Private, 340148, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+65, Private, 154171, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 20051, 0, 60, United-States, >50K
+27, Private, 94064, Assoc-voc, 11, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+39, Private, 119098, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+51, Self-emp-not-inc, 388496, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 8, Puerto-Rico, >50K
+49, Private, 181363, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+58, ?, 210031, HS-grad, 9, Divorced, ?, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 206951, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1902, 45, United-States, >50K
+25, Private, 485496, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+41, Private, 210259, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 37, United-States, <=50K
+31, Private, 118551, 9th, 5, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+63, Private, 180911, 11th, 7, Married-civ-spouse, Protective-serv, Husband, White, Male, 4386, 0, 37, United-States, >50K
+50, State-gov, 242517, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+63, Private, 298113, Some-college, 10, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+44, Self-emp-not-inc, 277783, Masters, 14, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 99, United-States, <=50K
+48, Private, 155862, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K
+51, Self-emp-not-inc, 171924, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K
+18, Private, 243900, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+23, Private, 231160, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 25, United-States, <=50K
+31, Private, 356882, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 5013, 0, 40, United-States, <=50K
+38, Private, 49020, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+19, ?, 105460, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 20, England, <=50K
+56, Private, 157749, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, >50K
+31, Private, 131568, 7th-8th, 4, Divorced, Transport-moving, Unmarried, White, Male, 0, 0, 20, United-States, <=50K
+46, Private, 332355, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+39, Private, 204501, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+56, Local-gov, 305767, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 40, China, <=50K
+31, Private, 129761, HS-grad, 9, Never-married, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+42, Self-emp-inc, 130126, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 40, United-States, >50K
+53, Private, 102828, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 35, United-States, >50K
+18, Private, 160984, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+18, ?, 255282, 11th, 7, Never-married, ?, Own-child, Black, Male, 0, 1602, 48, United-States, <=50K
+20, ?, 346341, Some-college, 10, Never-married, ?, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+27, Private, 285897, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1848, 45, United-States, >50K
+31, Private, 356689, Bachelors, 13, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+52, Federal-gov, 192386, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 5013, 0, 40, United-States, <=50K
+46, Private, 394860, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 113129, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 24, United-States, <=50K
+26, Private, 55929, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+48, Local-gov, 177018, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+37, Private, 161141, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+29, Private, 309463, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+49, Private, 165468, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 55, United-States, >50K
+24, Private, 49218, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+74, Self-emp-not-inc, 119129, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 2149, 20, United-States, <=50K
+56, Self-emp-not-inc, 162130, 5th-6th, 3, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 67, United-States, >50K
+39, Federal-gov, 129573, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 1741, 40, United-States, <=50K
+21, Private, 306850, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 135296, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 2258, 45, United-States, >50K
+43, Self-emp-not-inc, 187322, HS-grad, 9, Divorced, Other-service, Unmarried, White, Male, 0, 0, 45, United-States, <=50K
+23, Private, 55674, Bachelors, 13, Never-married, Protective-serv, Not-in-family, White, Female, 2907, 0, 40, United-States, <=50K
+26, Private, 148298, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+47, Private, 34845, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K
+27, Private, 200733, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 55, United-States, <=50K
+45, Private, 191858, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, >50K
+30, Private, 425528, HS-grad, 9, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 70, United-States, <=50K
+35, Private, 44780, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 7688, 0, 20, United-States, >50K
+33, Private, 125856, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 100508, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+21, Private, 148294, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+42, Private, 39324, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+48, Federal-gov, 147397, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 36, United-States, <=50K
+46, Private, 24728, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K
+36, Private, 177616, 5th-6th, 3, Separated, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+54, Private, 163826, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 199947, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K
+26, Local-gov, 386949, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 25, United-States, <=50K
+36, Self-emp-inc, 116133, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 57, United-States, <=50K
+56, Self-emp-not-inc, 196307, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K
+37, Private, 177181, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 324854, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, >50K
+23, Private, 188505, Bachelors, 13, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+23, State-gov, 502316, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+41, State-gov, 26892, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+55, Private, 102058, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+39, Private, 167728, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+67, Local-gov, 233681, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 35, United-States, <=50K
+60, Private, 26756, HS-grad, 9, Widowed, Sales, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+54, Private, 101890, HS-grad, 9, Widowed, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+38, Private, 192337, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, England, >50K
+47, Private, 340982, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male, 3103, 0, 40, Philippines, >50K
+49, State-gov, 102308, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 42, United-States, >50K
+19, Private, 84747, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 24, United-States, <=50K
+20, Private, 197752, Some-college, 10, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+66, Private, 185336, HS-grad, 9, Widowed, Sales, Other-relative, White, Female, 0, 0, 35, United-States, <=50K
+22, ?, 289984, Some-college, 10, Never-married, ?, Not-in-family, Black, Female, 0, 0, 25, United-States, <=50K
+51, Self-emp-not-inc, 125417, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 42, United-States, >50K
+19, Private, 278480, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 146412, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+33, Private, 193042, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, >50K
+41, Private, 53956, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 0, 1980, 56, United-States, <=50K
+90, Private, 175491, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 9386, 0, 50, Ecuador, >50K
+78, ?, 33186, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 60, United-States, <=50K
+36, Private, 144154, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+30, Private, 194901, Prof-school, 15, Divorced, Sales, Own-child, White, Male, 0, 0, 55, United-States, <=50K
+35, Private, 335777, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K
+46, Private, 139268, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+38, Private, 33887, HS-grad, 9, Never-married, Machine-op-inspct, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 283613, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 141245, Bachelors, 13, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, Puerto-Rico, <=50K
+49, Private, 298130, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+19, Private, 186096, HS-grad, 9, Never-married, Other-service, Own-child, Black, Male, 0, 0, 30, United-States, <=50K
+77, Private, 187656, Some-college, 10, Widowed, Priv-house-serv, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+46, Private, 102308, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 56, United-States, >50K
+41, Private, 124639, Some-college, 10, Separated, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+28, Private, 388112, 1st-4th, 2, Never-married, Farming-fishing, Unmarried, White, Male, 0, 0, 77, Mexico, <=50K
+21, Private, 109952, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 164529, 12th, 8, Never-married, Farming-fishing, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+36, Private, 247750, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 45, United-States, <=50K
+23, State-gov, 103588, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 25, United-States, <=50K
+38, Federal-gov, 248919, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 2051, 40, United-States, <=50K
+29, Self-emp-not-inc, 178551, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 136137, Some-college, 10, Married-civ-spouse, Exec-managerial, Other-relative, White, Male, 0, 0, 50, United-States, >50K
+47, Federal-gov, 55377, Bachelors, 13, Never-married, Adm-clerical, Unmarried, Black, Male, 0, 0, 40, United-States, >50K
+39, Local-gov, 177728, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+40, Local-gov, 243580, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 48, United-States, <=50K
+21, ?, 188535, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 63910, HS-grad, 9, Divorced, Adm-clerical, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K
+23, Private, 219535, HS-grad, 9, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+44, State-gov, 180609, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 59313, Some-college, 10, Separated, Other-service, Not-in-family, Black, Male, 0, 0, 40, ?, <=50K
+70, Private, 170428, Bachelors, 13, Widowed, Prof-specialty, Unmarried, White, Female, 0, 0, 20, Puerto-Rico, <=50K
+51, Private, 102615, Masters, 14, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 1977, 40, United-States, >50K
+66, Private, 193132, 9th, 5, Separated, Other-service, Not-in-family, Black, Female, 0, 0, 30, United-States, <=50K
+57, Self-emp-inc, 124137, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 136629, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K
+48, Self-emp-inc, 148995, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, >50K
+24, ?, 203076, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+51, Private, 63424, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K
+43, Private, 241895, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+27, Private, 266973, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K
+32, Private, 188048, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+20, Private, 366929, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+33, Private, 214129, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+19, Private, 250818, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+32, Local-gov, 240979, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, >50K
+35, Private, 98283, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, India, >50K
+26, Private, 104746, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 5013, 0, 60, United-States, <=50K
+39, Private, 103710, HS-grad, 9, Never-married, Sales, Unmarried, White, Female, 0, 0, 60, United-States, <=50K
+24, Private, 159580, Bachelors, 13, Never-married, Other-service, Own-child, Black, Female, 0, 0, 75, United-States, <=50K
+45, Private, 117409, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+20, Private, 140001, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+49, State-gov, 31650, Bachelors, 13, Married-civ-spouse, Prof-specialty, Other-relative, White, Female, 0, 0, 45, United-States, <=50K
+35, State-gov, 80771, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+30, Private, 66278, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+23, Private, 107801, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 1617, 25, United-States, <=50K
+33, Private, 206609, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K
+35, Private, 282461, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K
+31, Private, 188246, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K
+20, Private, 279763, 11th, 7, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 25, United-States, <=50K
+44, Private, 467799, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+33, Self-emp-not-inc, 137674, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+50, Private, 158284, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 204219, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K
+28, State-gov, 210498, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K
+60, Federal-gov, 63526, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, >50K
+38, Federal-gov, 216924, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 372559, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+57, Federal-gov, 199114, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 2258, 40, United-States, <=50K
+50, Private, 168539, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+39, Local-gov, 189911, 11th, 7, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+69, Local-gov, 61958, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 1424, 0, 6, United-States, <=50K
+51, State-gov, 68898, Assoc-voc, 11, Divorced, Tech-support, Not-in-family, White, Male, 0, 2444, 39, United-States, >50K
+42, Private, 204450, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+53, Private, 311350, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+37, Private, 113750, Bachelors, 13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 359591, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 132879, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 50, United-States, >50K
+20, Private, 301199, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 24, United-States, <=50K
+38, State-gov, 267540, Some-college, 10, Separated, Adm-clerical, Unmarried, Black, Female, 0, 0, 38, United-States, <=50K
+52, Private, 185407, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, Poland, >50K
+48, Self-emp-inc, 191277, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+30, Private, 78980, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K
+37, Self-emp-not-inc, 241463, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1848, 65, United-States, >50K
+47, Private, 216999, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K
+33, Local-gov, 120508, Bachelors, 13, Divorced, Protective-serv, Unmarried, White, Female, 0, 0, 60, Germany, <=50K
+33, Private, 122612, HS-grad, 9, Married-spouse-absent, Other-service, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 35, Thailand, <=50K
+20, Private, 94057, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 15, United-States, <=50K
+41, State-gov, 197558, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 351869, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1485, 45, United-States, >50K
+54, Self-emp-not-inc, 121761, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 50, ?, <=50K
+36, Federal-gov, 184556, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K
+46, Private, 268281, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+45, Private, 235646, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+18, Private, 186909, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 16, United-States, <=50K
+62, Private, 35783, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K
+33, Private, 188861, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+42, Private, 363591, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+18, Private, 469921, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+32, Private, 51150, Assoc-voc, 11, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+43, Private, 174325, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+20, Private, 347530, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 25, United-States, <=50K
+50, Private, 72351, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+42, Local-gov, 185129, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 43, ?, >50K
+36, Private, 188571, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 255252, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 291951, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+33, Self-emp-not-inc, 223046, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+43, Local-gov, 37937, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 43, United-States, <=50K
+38, Private, 295127, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+34, Local-gov, 183801, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 14, United-States, <=50K
+40, Private, 116218, Some-college, 10, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 45, United-States, <=50K
+40, Private, 143069, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+41, Local-gov, 235951, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+57, Private, 112840, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+65, Local-gov, 146454, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1648, 4, Greece, <=50K
+52, Federal-gov, 43705, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 50, United-States, <=50K
+59, Private, 122283, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 99999, 0, 40, India, >50K
+18, Private, 376647, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 2176, 0, 25, United-States, <=50K
+48, Private, 101299, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K
+45, Private, 96798, 5th-6th, 3, Divorced, Transport-moving, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 194654, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K
+27, State-gov, 206889, Assoc-acdm, 12, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 226902, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K
+44, State-gov, 150755, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 5013, 0, 40, United-States, <=50K
+24, Private, 200679, HS-grad, 9, Never-married, Farming-fishing, Own-child, Black, Male, 0, 0, 50, United-States, <=50K
+71, Private, 183678, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 16, United-States, <=50K
+17, Private, 33138, 12th, 8, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+57, Self-emp-not-inc, 57071, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 3137, 0, 40, United-States, <=50K
+71, ?, 35303, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 9386, 0, 30, United-States, >50K
+37, Private, 188576, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, ?, <=50K
+33, Private, 169496, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+41, Private, 58124, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 356344, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+42, Self-emp-not-inc, 444134, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 15, United-States, <=50K
+18, ?, 340117, 11th, 7, Never-married, ?, Unmarried, Black, Female, 0, 0, 50, United-States, <=50K
+34, Private, 219619, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+57, ?, 334585, 10th, 6, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 40, United-States, <=50K
+27, Local-gov, 331046, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+46, ?, 443179, Bachelors, 13, Divorced, ?, Not-in-family, White, Female, 0, 0, 8, United-States, <=50K
+64, ?, 239529, 11th, 7, Widowed, ?, Not-in-family, White, Female, 3674, 0, 35, United-States, <=50K
+24, Private, 100345, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+23, Private, 205653, Bachelors, 13, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+33, Private, 112383, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+58, Self-emp-inc, 21626, Assoc-voc, 11, Divorced, Sales, Not-in-family, White, Male, 2202, 0, 56, United-States, <=50K
+25, Private, 135568, 9th, 5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+44, Private, 190532, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K
+53, Federal-gov, 266598, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+38, Local-gov, 116608, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 35, United-States, >50K
+36, Private, 353263, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, >50K
+25, State-gov, 157617, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+54, Federal-gov, 21698, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+31, Private, 77143, 12th, 8, Separated, Transport-moving, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K
+18, State-gov, 342852, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 176602, HS-grad, 9, Divorced, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+26, Private, 146343, Some-college, 10, Married-civ-spouse, Sales, Wife, Black, Female, 0, 0, 40, United-States, <=50K
+68, ?, 146645, Doctorate, 16, Married-civ-spouse, ?, Husband, White, Male, 20051, 0, 50, United-States, >50K
+33, Private, 221966, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 2202, 0, 50, United-States, <=50K
+22, Private, 215546, Assoc-acdm, 12, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K
+50, State-gov, 173020, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+24, ?, 247734, Bachelors, 13, Never-married, ?, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+44, Private, 252202, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+37, Private, 497300, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K
+34, Self-emp-not-inc, 426431, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+45, Federal-gov, 162410, Some-college, 10, Widowed, Tech-support, Not-in-family, White, Female, 0, 0, 45, United-States, >50K
+77, ?, 143516, Masters, 14, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 8, United-States, >50K
+25, Private, 190350, 10th, 6, Married-civ-spouse, Other-service, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+20, Private, 194504, Some-college, 10, Separated, Sales, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+46, Federal-gov, 110884, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K
+26, Private, 187652, Assoc-acdm, 12, Never-married, Tech-support, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+45, Private, 81400, 1st-4th, 2, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 25, El-Salvador, <=50K
+70, ?, 97831, HS-grad, 9, Widowed, ?, Unmarried, White, Female, 0, 0, 4, United-States, <=50K
+57, Private, 180920, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K
+28, Private, 189186, Assoc-voc, 11, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+35, ?, 144172, Assoc-acdm, 12, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 16, United-States, <=50K
+36, Private, 607848, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 45, United-States, >50K
+32, Private, 207301, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+29, Private, 293073, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, >50K
+36, Private, 210452, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Male, 0, 0, 45, United-States, <=50K
+19, Private, 41400, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+27, Private, 164170, Bachelors, 13, Never-married, Tech-support, Unmarried, Asian-Pac-Islander, Female, 0, 0, 20, Philippines, <=50K
+48, Private, 112906, Masters, 14, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 55, United-States, >50K
+49, Self-emp-not-inc, 126268, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+55, Private, 208311, Masters, 14, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 1977, 20, United-States, >50K
+61, Private, 28291, HS-grad, 9, Divorced, Farming-fishing, Not-in-family, White, Female, 0, 0, 82, United-States, <=50K
+42, Local-gov, 121998, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 40, United-States, >50K
+42, Federal-gov, 31621, Assoc-acdm, 12, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+30, Local-gov, 108386, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K
+32, Self-emp-not-inc, 134727, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 208391, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K
+35, Private, 112271, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+30, Private, 173350, Assoc-voc, 11, Married-spouse-absent, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+30, Private, 243190, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 20, India, >50K
+55, Private, 185436, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 70, United-States, >50K
+36, Private, 290409, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 80058, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 48, United-States, <=50K
+56, Local-gov, 370045, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+26, Private, 36936, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 2002, 40, United-States, <=50K
+37, Private, 231180, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 119793, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 60, United-States, <=50K
+38, Private, 102178, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K
+76, ?, 135039, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 20, United-States, <=50K
+35, ?, 317780, Some-college, 10, Never-married, ?, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+48, Private, 232840, Some-college, 10, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 43, United-States, <=50K
+35, Private, 33975, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+39, Local-gov, 256997, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+64, Private, 298301, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 310380, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+45, Local-gov, 182100, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+27, Private, 501172, 5th-6th, 3, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+43, State-gov, 143939, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 50, United-States, >50K
+23, Private, 85088, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 37, United-States, <=50K
+25, Private, 282313, 10th, 6, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 1602, 40, United-States, <=50K
+39, Private, 230054, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+63, Private, 236338, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 35, United-States, <=50K
+37, Private, 321943, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+26, Federal-gov, 218782, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Other, Male, 0, 0, 40, United-States, <=50K
+33, Private, 191385, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, Canada, <=50K
+45, Self-emp-inc, 185497, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, Asian-Pac-Islander, Female, 0, 0, 70, ?, <=50K
+28, Private, 126129, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+20, Private, 199268, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+34, Private, 255693, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 20, United-States, <=50K
+34, Private, 203488, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+41, Private, 203233, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+38, Private, 203836, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+36, Private, 187847, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 40, United-States, >50K
+38, Private, 116358, Some-college, 10, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K
+46, Self-emp-inc, 198660, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 99999, 0, 72, United-States, >50K
+43, Self-emp-not-inc, 89636, Bachelors, 13, Married-civ-spouse, Sales, Wife, Asian-Pac-Islander, Female, 0, 0, 60, South, <=50K
+49, Private, 120629, Some-college, 10, Widowed, Sales, Unmarried, White, Female, 0, 0, 30, United-States, <=50K
+26, Local-gov, 150226, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+28, Private, 137898, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+54, Self-emp-inc, 146574, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+53, Private, 88725, HS-grad, 9, Never-married, Craft-repair, Not-in-family, Other, Female, 0, 0, 40, ?, <=50K
+24, Private, 142022, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 50, United-States, <=50K
+23, Private, 284898, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+55, Local-gov, 212448, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+58, Self-emp-not-inc, 203039, 9th, 5, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 227489, HS-grad, 9, Never-married, Tech-support, Other-relative, Black, Male, 0, 0, 40, ?, <=50K
+19, Private, 105289, 10th, 6, Never-married, Other-service, Other-relative, Black, Female, 0, 0, 20, United-States, <=50K
+28, ?, 223745, Some-college, 10, Never-married, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+45, Private, 242994, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 52, United-States, <=50K
+30, Private, 196385, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K
+76, Private, 116202, HS-grad, 9, Widowed, Other-service, Unmarried, White, Female, 0, 0, 33, United-States, <=50K
+47, Private, 140045, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+34, Private, 133503, Some-college, 10, Divorced, Transport-moving, Not-in-family, White, Male, 2174, 0, 40, United-States, <=50K
+40, Private, 226585, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 35, United-States, >50K
+24, Private, 85041, HS-grad, 9, Separated, Other-service, Unmarried, White, Female, 0, 0, 25, United-States, <=50K
+30, Private, 162442, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 7688, 0, 50, United-States, >50K
+67, Private, 279980, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 10605, 0, 10, United-States, >50K
+24, Private, 216563, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, United-States, <=50K
+43, Local-gov, 231964, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+29, Private, 263855, 12th, 8, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 124915, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+61, Federal-gov, 178312, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+45, Local-gov, 215862, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 45, United-States, >50K
+21, State-gov, 39236, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+58, Private, 349910, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 40, United-States, >50K
+52, Private, 75839, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 176711, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 266525, Some-college, 10, Never-married, Prof-specialty, Other-relative, Black, Female, 594, 0, 20, United-States, <=50K
+25, ?, 34307, Some-college, 10, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+46, Private, 331776, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+54, Private, 111469, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+43, State-gov, 198965, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+25, Private, 288185, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+21, Private, 198050, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K
+65, Private, 242580, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Male, 11678, 0, 50, United-States, >50K
+37, Private, 173128, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 87905, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Male, 10520, 0, 40, United-States, >50K
+44, Private, 173704, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+37, Federal-gov, 93225, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 7688, 0, 40, United-States, >50K
+38, Private, 323269, Some-college, 10, Married-civ-spouse, Other-service, Wife, Black, Female, 0, 0, 40, United-States, <=50K
+35, Private, 158046, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 5013, 0, 70, United-States, <=50K
+32, Private, 133503, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+44, Self-emp-not-inc, 172296, Some-college, 10, Separated, Sales, Unmarried, White, Male, 0, 0, 60, United-States, <=50K
+39, ?, 201105, Bachelors, 13, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 30, United-States, <=50K
+23, Private, 176486, Some-college, 10, Never-married, Other-service, Other-relative, White, Female, 0, 0, 25, United-States, <=50K
+25, Self-emp-inc, 182750, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, >50K
+23, Private, 82497, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 28, United-States, <=50K
+47, Private, 208872, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+47, Private, 145269, 11th, 7, Divorced, Craft-repair, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+25, Private, 19214, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 149347, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+68, ?, 53850, 7th-8th, 4, Married-civ-spouse, ?, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K
+50, Private, 158294, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 3103, 0, 40, United-States, >50K
+47, Private, 152073, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+35, Private, 189623, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+24, Private, 341368, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 201603, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 2176, 0, 40, United-States, <=50K
+35, Private, 270572, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, >50K
+30, Private, 285295, Bachelors, 13, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K
+17, Private, 126779, 11th, 7, Never-married, Other-service, Own-child, Black, Male, 0, 0, 20, United-States, <=50K
+49, ?, 202874, HS-grad, 9, Separated, ?, Unmarried, White, Female, 0, 0, 40, Columbia, <=50K
+27, Private, 373499, 5th-6th, 3, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 60, El-Salvador, <=50K
+22, Private, 244773, HS-grad, 9, Never-married, Sales, Own-child, Black, Female, 0, 0, 15, United-States, <=50K
+22, State-gov, 96862, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+50, Private, 162632, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 2, United-States, <=50K
+51, Self-emp-not-inc, 159755, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 38, United-States, >50K
+27, Private, 37088, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 30, United-States, <=50K
+27, Private, 335421, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+23, Never-worked, 188535, 7th-8th, 4, Divorced, ?, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+20, State-gov, 349365, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+42, Private, 33002, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 48, United-States, <=50K
+32, Private, 330715, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 99999, 0, 40, United-States, >50K
+45, Private, 146857, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 38, United-States, >50K
+35, Private, 275522, 7th-8th, 4, Widowed, Other-service, Unmarried, White, Female, 0, 0, 80, United-States, <=50K
+22, Private, 43646, HS-grad, 9, Married-civ-spouse, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 154548, Some-college, 10, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 38, United-States, <=50K
+28, Private, 47907, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+38, Private, 238397, Bachelors, 13, Divorced, Priv-house-serv, Unmarried, White, Female, 0, 0, 24, United-States, <=50K
+48, Local-gov, 195949, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 42, United-States, >50K
+22, ?, 354351, Some-college, 10, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 349169, Masters, 14, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+25, Private, 158662, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 50, United-States, >50K
+23, Local-gov, 23438, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+38, Private, 107302, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K
+43, Private, 174196, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+49, Local-gov, 226871, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, >50K
+23, Private, 124971, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+57, Private, 214061, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+24, Private, 441700, Bachelors, 13, Never-married, Tech-support, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+44, Self-emp-inc, 104892, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 58, United-States, >50K
+34, Private, 234386, Assoc-acdm, 12, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+29, Local-gov, 188278, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 244395, 11th, 7, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+35, Private, 30916, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K
+48, Private, 219565, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 377486, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 36, United-States, <=50K
+42, Local-gov, 137232, HS-grad, 9, Divorced, Protective-serv, Unmarried, White, Female, 0, 0, 50, United-States, <=50K
+53, Private, 233369, Some-college, 10, Widowed, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+29, Private, 71067, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K
+59, Private, 195176, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 72, United-States, <=50K
+31, Private, 98639, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 183778, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+51, Private, 123011, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 2559, 50, United-States, >50K
+25, Private, 164938, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 4416, 0, 40, United-States, <=50K
+28, ?, 147471, HS-grad, 9, Divorced, ?, Own-child, White, Female, 0, 0, 10, United-States, <=50K
+30, Private, 206046, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1848, 40, United-States, >50K
+46, Private, 81497, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K
+45, Private, 189225, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+23, Private, 141264, Some-college, 10, Never-married, Exec-managerial, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K
+33, Private, 97939, Assoc-acdm, 12, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 42, United-States, <=50K
+44, Private, 160829, Bachelors, 13, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 20, United-States, >50K
+25, Private, 483822, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, El-Salvador, <=50K
+48, State-gov, 148738, Some-college, 10, Divorced, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 289982, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+33, Self-emp-not-inc, 58702, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Wife, White, Female, 3103, 0, 50, United-States, >50K
+20, Private, 146706, Some-college, 10, Married-civ-spouse, Sales, Other-relative, White, Female, 0, 0, 30, United-States, <=50K
+23, Private, 420973, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+71, Private, 124959, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+22, State-gov, 121471, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+36, Private, 198237, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 50, United-States, >50K
+27, Private, 280758, 11th, 7, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 60, United-States, <=50K
+40, Private, 191544, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+30, Private, 261023, Some-college, 10, Divorced, Machine-op-inspct, Unmarried, White, Male, 0, 0, 50, United-States, <=50K
+30, State-gov, 231043, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 340917, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 167140, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 5013, 0, 40, United-States, <=50K
+39, Private, 370795, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+39, Federal-gov, 209609, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, <=50K
+74, Private, 209454, 5th-6th, 3, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+32, Self-emp-inc, 78530, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K
+25, Private, 88922, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+64, Private, 86972, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+47, Self-emp-not-inc, 165468, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 7298, 0, 40, United-States, >50K
+37, Private, 134367, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 37, United-States, >50K
+47, Private, 199058, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+33, Private, 183612, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K
+40, Private, 191982, Assoc-voc, 11, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, >50K
+22, Private, 514033, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 80, United-States, <=50K
+56, Private, 172364, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 190105, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 55, United-States, <=50K
+30, Self-emp-inc, 119422, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 70, United-States, <=50K
+20, Private, 236592, 12th, 8, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 35, Italy, <=50K
+53, State-gov, 43952, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 38, United-States, >50K
+43, Private, 194636, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, >50K
+23, Private, 235853, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+43, Self-emp-not-inc, 150528, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 30, United-States, <=50K
+30, Private, 213722, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 41432, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 46, United-States, <=50K
+22, Private, 285775, Assoc-voc, 11, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 470663, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+54, Self-emp-not-inc, 114520, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 113466, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+46, Private, 224559, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+59, Private, 186385, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+28, ?, 167094, 10th, 6, Divorced, ?, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+18, ?, 216508, 12th, 8, Never-married, ?, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K
+41, Local-gov, 384236, Assoc-voc, 11, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+42, Private, 181265, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 48, United-States, <=50K
+58, Private, 190997, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+24, Private, 98287, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K
+39, Private, 103456, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, >50K
+28, Private, 184723, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Female, 0, 1980, 35, United-States, <=50K
+25, Private, 165622, Masters, 14, Never-married, Sales, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K
+29, Private, 101597, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 54, United-States, <=50K
+53, Private, 146378, 5th-6th, 3, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+63, Local-gov, 152163, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K
+26, State-gov, 106812, Assoc-voc, 11, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K
+21, Private, 148211, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 3674, 0, 50, United-States, <=50K
+45, Private, 187581, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+29, Private, 135296, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+72, Local-gov, 144515, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1258, 40, United-States, <=50K
+51, Private, 210736, 10th, 6, Married-spouse-absent, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 210165, 9th, 5, Married-spouse-absent, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 224584, Some-college, 10, Divorced, Sales, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+38, Private, 80771, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K
+46, Private, 164733, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 41, United-States, <=50K
+31, Self-emp-not-inc, 119411, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 60, United-States, >50K
+68, Local-gov, 177596, 10th, 6, Separated, Other-service, Not-in-family, Black, Female, 0, 0, 90, United-States, <=50K
+43, ?, 396116, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 185251, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+44, Private, 173590, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 3, United-States, <=50K
+56, Federal-gov, 196307, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+20, ?, 293091, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 12, United-States, <=50K
+36, Private, 175232, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 5178, 0, 40, United-States, >50K
+21, Private, 51047, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K
+21, Private, 334618, Some-college, 10, Never-married, Protective-serv, Not-in-family, Black, Female, 99999, 0, 40, United-States, >50K
+52, Local-gov, 152795, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+56, Self-emp-inc, 205601, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 70, United-States, >50K
+52, Private, 129177, Bachelors, 13, Widowed, Other-service, Not-in-family, White, Female, 0, 2824, 20, United-States, >50K
+51, Self-emp-not-inc, 121548, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 25, United-States, <=50K
+29, Private, 244566, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 75073, Some-college, 10, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 55, United-States, <=50K
+29, Private, 179008, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 55, United-States, <=50K
+21, Private, 170800, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+58, Private, 373344, 1st-4th, 2, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 127961, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+50, Private, 99392, Some-college, 10, Divorced, Craft-repair, Not-in-family, Black, Female, 0, 0, 45, United-States, <=50K
+30, Private, 392812, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 50, Germany, <=50K
+29, Private, 262478, HS-grad, 9, Never-married, Farming-fishing, Own-child, Black, Male, 0, 0, 30, United-States, <=50K
+48, Self-emp-not-inc, 32825, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+50, Self-emp-not-inc, 167380, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K
+39, Private, 203204, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 25, United-States, >50K
+35, Federal-gov, 105138, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, <=50K
+54, Private, 145714, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 7688, 0, 25, United-States, >50K
+24, Private, 182276, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 25, United-States, <=50K
+20, Private, 275385, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 45, United-States, <=50K
+30, Self-emp-not-inc, 292472, Some-college, 10, Married-civ-spouse, Sales, Husband, Amer-Indian-Eskimo, Male, 0, 0, 55, United-States, >50K
+19, Self-emp-not-inc, 73514, HS-grad, 9, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female, 0, 0, 30, United-States, <=50K
+26, Private, 199600, HS-grad, 9, Never-married, Sales, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+38, Private, 111499, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 1977, 99, United-States, >50K
+25, Private, 202560, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+33, Private, 99309, Some-college, 10, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 50, United-States, <=50K
+60, Local-gov, 124987, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 40, United-States, >50K
+30, Private, 287986, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 119411, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+19, Private, 198668, 7th-8th, 4, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+23, Private, 117583, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 234664, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+20, ?, 114357, Some-college, 10, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+39, State-gov, 176949, Assoc-acdm, 12, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 52, United-States, <=50K
+33, Private, 189710, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 45, Mexico, <=50K
+65, Private, 205309, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 24, United-States, <=50K
+34, Private, 195576, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+20, Private, 216825, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 25, Mexico, <=50K
+23, ?, 329174, Some-college, 10, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 197036, 10th, 6, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 181291, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 1564, 50, United-States, >50K
+31, Private, 206512, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 25, United-States, <=50K
+28, State-gov, 38309, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 6849, 0, 40, United-States, <=50K
+37, Private, 312766, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+52, Private, 139671, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 50, United-States, >50K
+66, Federal-gov, 38621, Assoc-voc, 11, Widowed, Other-service, Unmarried, Black, Female, 3273, 0, 40, United-States, <=50K
+31, Private, 124827, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 77820, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+45, Federal-gov, 56904, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 5013, 0, 45, United-States, <=50K
+45, Private, 190115, Assoc-acdm, 12, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+44, Private, 106682, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K
+32, Local-gov, 42596, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 143058, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 60, United-States, >50K
+53, Private, 102615, 11th, 7, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, Canada, <=50K
+54, Private, 139703, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 3103, 0, 40, Germany, >50K
+43, Private, 240124, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 132565, Some-college, 10, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+49, Private, 323798, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 3325, 0, 50, United-States, <=50K
+52, Private, 96359, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 57, United-States, >50K
+20, Private, 165201, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 4, United-States, <=50K
+60, Federal-gov, 165630, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 1977, 40, United-States, >50K
+45, Private, 264526, Assoc-acdm, 12, Divorced, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+48, Private, 102359, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 60, United-States, >50K
+28, Private, 37359, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K
+61, ?, 232618, Prof-school, 15, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, >50K
+48, Local-gov, 115497, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 157747, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 45, United-States, <=50K
+27, Self-emp-not-inc, 41099, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+38, Private, 472604, Bachelors, 13, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 35, Mexico, <=50K
+33, Private, 348618, 5th-6th, 3, Married-spouse-absent, Transport-moving, Unmarried, Other, Male, 0, 0, 20, El-Salvador, <=50K
+43, Private, 135606, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, >50K
+36, Private, 248445, HS-grad, 9, Separated, Transport-moving, Other-relative, White, Male, 0, 0, 60, Mexico, <=50K
+38, Private, 112093, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+24, Local-gov, 197552, HS-grad, 9, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+22, Private, 303822, 10th, 6, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 288566, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+55, ?, 487411, Masters, 14, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, >50K
+46, Self-emp-not-inc, 43348, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 55, United-States, >50K
+39, State-gov, 239409, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 50, United-States, <=50K
+50, Private, 337606, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 1485, 40, United-States, <=50K
+34, Private, 32528, Assoc-voc, 11, Married-spouse-absent, Adm-clerical, Unmarried, White, Female, 0, 974, 40, United-States, <=50K
+47, State-gov, 118447, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K
+46, Private, 234690, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+23, ?, 141003, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 60, United-States, <=50K
+43, Private, 216042, Some-college, 10, Divorced, Tech-support, Own-child, White, Female, 0, 1617, 72, United-States, <=50K
+45, Private, 190482, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+55, Private, 381965, Bachelors, 13, Married-civ-spouse, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+68, Private, 186943, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 8, United-States, <=50K
+39, Private, 142707, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+39, Private, 53447, HS-grad, 9, Divorced, Farming-fishing, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+37, Private, 127772, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+19, Private, 344414, Some-college, 10, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 194138, 11th, 7, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+49, ?, 558183, Assoc-voc, 11, Married-spouse-absent, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+33, Private, 150154, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 306114, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+72, ?, 177121, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 3, United-States, <=50K
+58, Local-gov, 368797, Masters, 14, Widowed, Prof-specialty, Unmarried, White, Male, 0, 0, 35, United-States, >50K
+43, Self-emp-inc, 175715, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, Black, Male, 0, 0, 55, United-States, <=50K
+62, Private, 416829, 11th, 7, Separated, Other-service, Not-in-family, Black, Female, 0, 0, 21, United-States, <=50K
+21, Private, 350001, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+26, Private, 339952, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K
+27, Private, 114967, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 164190, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 38, United-States, >50K
+49, Local-gov, 166039, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+28, Private, 250135, HS-grad, 9, Never-married, Prof-specialty, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+34, Self-emp-not-inc, 234960, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 1887, 48, United-States, >50K
+29, Private, 103628, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K
+58, Private, 430005, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K
+45, Self-emp-inc, 106517, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+47, Self-emp-not-inc, 162236, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+53, Private, 92430, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+52, Local-gov, 40641, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 5013, 0, 40, United-States, <=50K
+47, Private, 169388, 11th, 7, Divorced, Other-service, Unmarried, White, Female, 0, 0, 15, United-States, <=50K
+36, Local-gov, 410034, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1887, 40, United-States, >50K
+48, Private, 237525, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 65, United-States, >50K
+35, Private, 150057, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+49, Private, 148549, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 50, United-States, >50K
+43, Private, 75742, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K
+33, Private, 177675, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, Germany, >50K
+49, Local-gov, 193249, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+17, Private, 266072, 10th, 6, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 20, El-Salvador, <=50K
+28, ?, 80165, Some-college, 10, Divorced, ?, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+25, Private, 339324, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+69, ?, 111238, 9th, 5, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 20, United-States, <=50K
+41, Self-emp-not-inc, 284086, Assoc-voc, 11, Divorced, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+31, Private, 206051, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+57, Private, 426263, Masters, 14, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 40, United-States, >50K
+49, Private, 102583, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1848, 44, United-States, >50K
+40, Private, 277647, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+55, Private, 124808, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 50, Germany, >50K
+47, Private, 193061, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+50, Private, 121411, 12th, 8, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 89202, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 50, United-States, <=50K
+17, Private, 232900, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 25, United-States, <=50K
+30, Local-gov, 319280, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K
+79, ?, 165209, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+42, Private, 193494, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K
+67, Self-emp-not-inc, 195066, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K
+36, Private, 99146, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, >50K
+35, Private, 92028, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+27, Private, 174419, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+21, Private, 57916, 7th-8th, 4, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+46, Private, 383384, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+45, Private, 198223, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1902, 45, United-States, >50K
+20, Private, 109813, 11th, 7, Never-married, Tech-support, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+17, Private, 174298, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+40, Private, 45687, Some-college, 10, Divorced, Other-service, Not-in-family, Black, Male, 4787, 0, 50, United-States, >50K
+28, Private, 263614, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+33, Private, 96128, 11th, 7, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+55, Private, 220262, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+55, Self-emp-not-inc, 35340, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+47, Private, 280483, HS-grad, 9, Separated, Craft-repair, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+52, Self-emp-inc, 254211, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 60, United-States, >50K
+29, Private, 351324, Some-college, 10, Never-married, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+36, Private, 58602, 5th-6th, 3, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+37, Private, 64922, Bachelors, 13, Separated, Other-service, Not-in-family, White, Male, 0, 0, 70, England, <=50K
+41, Federal-gov, 185616, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 1980, 40, United-States, <=50K
+43, Private, 185832, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, >50K
+24, Private, 254767, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 2105, 0, 50, United-States, <=50K
+39, Federal-gov, 32312, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K
+47, Self-emp-not-inc, 109421, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K
+42, Private, 183205, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 45, United-States, <=50K
+39, Private, 156897, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 2258, 42, United-States, >50K
+48, Local-gov, 145886, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 60, United-States, <=50K
+47, Local-gov, 29819, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 1977, 50, United-States, >50K
+27, Private, 244566, 10th, 6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 253801, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Ecuador, <=50K
+22, Private, 181313, Assoc-voc, 11, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+37, State-gov, 150566, HS-grad, 9, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 44, United-States, <=50K
+38, Private, 237713, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K
+32, Private, 112137, Preschool, 1, Married-civ-spouse, Machine-op-inspct, Wife, Asian-Pac-Islander, Female, 4508, 0, 40, Cambodia, <=50K
+48, Local-gov, 187969, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 80, United-States, <=50K
+46, Self-emp-not-inc, 224108, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 50, United-States, <=50K
+51, Private, 174754, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 38, United-States, <=50K
+28, Self-emp-inc, 219705, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 5013, 0, 55, United-States, <=50K
+35, Private, 167062, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+18, Private, 190325, 11th, 7, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+45, Private, 108859, HS-grad, 9, Separated, Craft-repair, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+36, Self-emp-not-inc, 344351, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+73, Private, 153127, Some-college, 10, Widowed, Priv-house-serv, Unmarried, White, Female, 0, 0, 10, United-States, <=50K
+52, Private, 180881, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+17, Private, 183066, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+29, Federal-gov, 339002, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+31, Private, 185480, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, ?, >50K
+20, Private, 172047, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 10, United-States, <=50K
+42, Private, 94600, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 5178, 0, 40, United-States, >50K
+37, Private, 302604, Some-college, 10, Separated, Other-service, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+40, Private, 248094, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 36467, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, >50K
+29, Private, 53181, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K
+20, Private, 181032, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+26, Private, 248990, 11th, 7, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+25, Private, 40512, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 3674, 0, 30, United-States, <=50K
+37, Private, 117381, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 80, United-States, >50K
+18, ?, 173125, 12th, 8, Never-married, ?, Own-child, White, Female, 0, 0, 24, United-States, <=50K
+33, ?, 316663, Some-college, 10, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 50, United-States, <=50K
+26, Private, 154966, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Puerto-Rico, <=50K
+24, Private, 198259, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+33, Private, 167939, HS-grad, 9, Married-civ-spouse, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+23, Private, 131275, HS-grad, 9, Never-married, Craft-repair, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K
+20, ?, 236523, 10th, 6, Never-married, ?, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+36, Private, 272950, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+37, Private, 174503, Bachelors, 13, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+24, Private, 116800, Assoc-voc, 11, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+38, Private, 110713, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K
+50, Private, 202044, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 45, United-States, <=50K
+44, Private, 300528, 11th, 7, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+46, Private, 54985, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 1887, 40, United-States, >50K
+57, Private, 133126, Some-college, 10, Never-married, Craft-repair, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+37, Private, 74593, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 70, United-States, <=50K
+44, Private, 302424, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K
+21, Private, 344492, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+31, Private, 349148, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+32, Private, 222221, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 42, United-States, >50K
+45, Private, 234699, HS-grad, 9, Married-spouse-absent, Other-service, Unmarried, Black, Female, 0, 0, 60, United-States, >50K
+20, Local-gov, 243178, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+52, Private, 189728, HS-grad, 9, Separated, Priv-house-serv, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+47, Self-emp-not-inc, 318593, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 25, United-States, <=50K
+41, Private, 108681, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K
+40, Private, 187376, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K
+41, State-gov, 75409, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K
+46, Private, 172581, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 50, United-States, >50K
+49, Private, 266150, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, United-States, <=50K
+65, Private, 271092, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, ?, <=50K
+50, Private, 135643, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Other-relative, Asian-Pac-Islander, Female, 0, 0, 40, China, <=50K
+59, Private, 46466, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K
+18, Private, 130652, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+47, Local-gov, 114459, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 45, United-States, >50K
+47, ?, 109832, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 5178, 0, 30, Canada, >50K
+45, Private, 195554, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, >50K
+17, Private, 244589, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+45, Self-emp-inc, 271901, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 32, United-States, >50K
+73, Private, 139978, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+48, Private, 180446, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+64, ?, 178724, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 20, United-States, <=50K
+38, State-gov, 341643, Assoc-acdm, 12, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+37, Federal-gov, 289653, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, >50K
+62, Self-emp-inc, 118725, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 20051, 0, 72, United-States, >50K
+26, Private, 187891, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+46, Self-emp-inc, 116338, Masters, 14, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 50, United-States, >50K
+46, Private, 102771, Masters, 14, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 1977, 40, United-States, >50K
+51, Private, 89652, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 4787, 0, 24, United-States, >50K
+54, Federal-gov, 439608, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+65, Private, 330144, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 251905, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+37, Private, 218955, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+36, Self-emp-not-inc, 188972, Doctorate, 16, Separated, Prof-specialty, Unmarried, White, Female, 0, 0, 10, Canada, <=50K
+60, Self-emp-not-inc, 25825, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, >50K
+33, Private, 202046, Bachelors, 13, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 2001, 40, United-States, <=50K
+62, Private, 116104, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 20, Germany, <=50K
+20, Private, 194891, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+37, Private, 125550, HS-grad, 9, Never-married, Tech-support, Not-in-family, White, Female, 14084, 0, 35, United-States, >50K
+66, Private, 116468, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 2936, 0, 20, United-States, <=50K
+32, ?, 285131, Assoc-acdm, 12, Never-married, ?, Unmarried, White, Male, 0, 0, 20, United-States, <=50K
+29, State-gov, 409201, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+70, Self-emp-inc, 379819, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 10566, 0, 40, United-States, <=50K
+74, Private, 97167, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 15, United-States, <=50K
+37, Local-gov, 244803, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, ?, <=50K
+51, Self-emp-not-inc, 115851, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+50, Private, 118058, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K
+42, Private, 258589, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, >50K
+26, Private, 158810, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K
+27, Local-gov, 92431, Some-college, 10, Never-married, Protective-serv, Not-in-family, White, Male, 0, 2231, 40, United-States, >50K
+58, Self-emp-not-inc, 165695, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K
+30, ?, 97281, Some-college, 10, Separated, ?, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+32, Private, 244147, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 1876, 50, United-States, <=50K
+66, Self-emp-inc, 253741, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 1825, 10, United-States, >50K
+23, Private, 170482, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 45, United-States, <=50K
+35, Private, 241001, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 44, United-States, <=50K
+50, Private, 165001, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+17, ?, 297117, 11th, 7, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+35, Private, 340260, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 48, United-States, <=50K
+31, Private, 96480, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+30, Private, 185177, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 49, United-States, <=50K
+84, Self-emp-inc, 172907, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 35, United-States, >50K
+35, Self-emp-not-inc, 308874, HS-grad, 9, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+45, Self-emp-not-inc, 54098, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, >50K
+46, Private, 288608, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+50, Local-gov, 254148, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+37, Private, 111128, 11th, 7, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 171116, HS-grad, 9, Divorced, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+53, Self-emp-inc, 96062, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 48, United-States, >50K
+27, Federal-gov, 276776, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K
+22, Private, 152878, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 149211, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 58343, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 44, United-States, <=50K
+38, Private, 127601, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Wife, White, Female, 0, 0, 35, United-States, <=50K
+29, Private, 357781, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 137367, Some-college, 10, Never-married, Handlers-cleaners, Other-relative, Asian-Pac-Islander, Male, 0, 0, 44, Philippines, <=50K
+34, Private, 110978, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K
+31, Private, 34503, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+30, Private, 84119, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 2051, 40, United-States, <=50K
+20, Private, 223515, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 372525, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Male, 0, 0, 48, United-States, <=50K
+32, Private, 116365, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 20, United-States, <=50K
+36, Private, 111268, Assoc-acdm, 12, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+54, Private, 225599, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 7298, 0, 40, India, >50K
+78, ?, 83511, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, Portugal, <=50K
+46, Self-emp-not-inc, 199596, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 50, United-States, <=50K
+18, Private, 301867, HS-grad, 9, Never-married, Sales, Own-child, Amer-Indian-Eskimo, Female, 0, 0, 20, United-States, <=50K
+57, Private, 191983, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 50, United-States, <=50K
+37, Private, 105803, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+43, Private, 456236, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+45, Private, 116255, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+32, Private, 235109, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+38, Federal-gov, 91716, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 121102, Assoc-acdm, 12, Never-married, Tech-support, Not-in-family, White, Female, 0, 2001, 30, United-States, <=50K
+70, Private, 235781, Some-college, 10, Divorced, Farming-fishing, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, Vietnam, <=50K
+40, Private, 136986, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, >50K
+40, Self-emp-not-inc, 33658, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 53878, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 200928, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+24, Private, 173736, Assoc-voc, 11, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K
+28, Private, 214385, Assoc-voc, 11, Never-married, Exec-managerial, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+58, Private, 102509, 10th, 6, Divorced, Transport-moving, Not-in-family, Black, Male, 0, 0, 50, United-States, <=50K
+38, Private, 173047, Bachelors, 13, Divorced, Adm-clerical, Unmarried, Asian-Pac-Islander, Female, 0, 213, 40, Philippines, <=50K
+59, Self-emp-not-inc, 241297, Some-college, 10, Widowed, Farming-fishing, Not-in-family, White, Female, 6849, 0, 40, United-States, <=50K
+18, Private, 329054, 11th, 7, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+40, Private, 274158, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+39, Self-emp-inc, 241153, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K
+35, Private, 200117, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 1887, 50, ?, >50K
+45, Private, 229516, HS-grad, 9, Married-spouse-absent, Craft-repair, Not-in-family, White, Male, 0, 0, 72, Mexico, <=50K
+62, ?, 250091, Bachelors, 13, Divorced, ?, Not-in-family, White, Male, 0, 0, 5, United-States, <=50K
+24, State-gov, 247075, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 20, United-States, <=50K
+22, Private, 315524, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Male, 0, 0, 30, Dominican-Republic, <=50K
+23, Private, 126945, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+39, Self-emp-not-inc, 29874, Some-college, 10, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 60, United-States, >50K
+28, Private, 115579, Assoc-voc, 11, Never-married, Tech-support, Own-child, White, Female, 0, 0, 38, United-States, <=50K
+51, Private, 29580, 11th, 7, Married-civ-spouse, Sales, Husband, White, Male, 4386, 0, 30, United-States, >50K
+44, Private, 56483, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 37, United-States, <=50K
+73, ?, 89852, 1st-4th, 2, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, Portugal, <=50K
+24, Private, 420779, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, Black, Male, 0, 0, 35, United-States, <=50K
+24, Private, 255474, 11th, 7, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+52, Private, 241444, 1st-4th, 2, Married-civ-spouse, Craft-repair, Husband, Other, Male, 0, 0, 50, Puerto-Rico, <=50K
+43, Private, 85995, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+67, Self-emp-inc, 116986, 12th, 8, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 20, United-States, <=50K
+31, Private, 217962, 12th, 8, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 40, ?, <=50K
+36, Private, 20507, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 50, United-States, >50K
+43, Private, 184099, Assoc-acdm, 12, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 117816, 7th-8th, 4, Divorced, Handlers-cleaners, Other-relative, White, Male, 0, 0, 70, United-States, <=50K
+23, Private, 263899, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Male, 0, 0, 20, Haiti, <=50K
+26, Private, 45869, Bachelors, 13, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+48, Private, 186539, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 326310, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 44, United-States, <=50K
+55, Local-gov, 84564, Prof-school, 15, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 39, United-States, <=50K
+49, Private, 247294, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K
+34, Private, 72793, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K
+29, Private, 261375, HS-grad, 9, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 60, United-States, <=50K
+50, Private, 77905, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 8, United-States, <=50K
+19, Private, 66838, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 9, United-States, <=50K
+63, State-gov, 194682, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 50, United-States, >50K
+66, Private, 180211, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 30, Philippines, <=50K
+65, ?, 79272, Some-college, 10, Widowed, ?, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 6, United-States, <=50K
+60, Private, 101198, Assoc-voc, 11, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K
+60, Private, 80574, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 38, United-States, <=50K
+19, Private, 198663, HS-grad, 9, Never-married, Tech-support, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+26, Self-emp-inc, 160340, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K
+75, Self-emp-not-inc, 205860, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 1735, 40, United-States, <=50K
+58, State-gov, 69579, Some-college, 10, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+18, Self-emp-not-inc, 379242, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+65, Private, 113323, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 3818, 0, 40, United-States, <=50K
+50, Self-emp-not-inc, 312477, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 40, United-States, >50K
+26, Private, 259505, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+45, Federal-gov, 171335, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+19, ?, 541282, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+29, Federal-gov, 155970, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K
+52, Private, 99682, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 52, Canada, >50K
+23, Private, 117789, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+21, Private, 296158, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+48, Local-gov, 78859, HS-grad, 9, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+59, ?, 188070, Masters, 14, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 35, United-States, >50K
+50, Private, 189811, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+41, State-gov, 518030, Bachelors, 13, Never-married, Protective-serv, Not-in-family, Black, Male, 0, 1590, 40, Puerto-Rico, <=50K
+32, Private, 360593, HS-grad, 9, Divorced, Sales, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K
+40, Private, 145504, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+19, Private, 459248, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+30, ?, 288419, 5th-6th, 3, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+42, State-gov, 126094, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Male, 0, 0, 39, United-States, <=50K
+23, Private, 209483, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 50, United-States, <=50K
+37, Self-emp-not-inc, 32239, HS-grad, 9, Divorced, Farming-fishing, Not-in-family, White, Male, 27828, 0, 40, United-States, >50K
+21, Private, 210355, 11th, 7, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K
+28, Private, 84547, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K
+50, ?, 260579, HS-grad, 9, Married-civ-spouse, ?, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+20, Private, 105585, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 25, United-States, <=50K
+21, Private, 132320, 11th, 7, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+21, Private, 129172, Some-college, 10, Never-married, Other-service, Other-relative, White, Male, 0, 0, 16, United-States, <=50K
+45, Self-emp-not-inc, 222374, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+49, Self-emp-inc, 201498, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+53, Self-emp-inc, 251675, Some-college, 10, Divorced, Sales, Not-in-family, White, Male, 8614, 0, 50, Cuba, >50K
+41, Private, 114157, HS-grad, 9, Divorced, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+48, Local-gov, 148121, Bachelors, 13, Married-spouse-absent, Adm-clerical, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K
+73, ?, 84053, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K
+34, Private, 96480, Some-college, 10, Separated, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+24, Private, 179423, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+58, State-gov, 123329, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 16, United-States, <=50K
+41, Private, 134130, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+53, Private, 188644, Preschool, 1, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+40, Private, 226388, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+28, Self-emp-not-inc, 209205, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 40, United-States, >50K
+32, Private, 209808, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 1740, 47, United-States, <=50K
+44, Self-emp-inc, 56236, Some-college, 10, Never-married, Exec-managerial, Not-in-family, Black, Male, 2202, 0, 45, United-States, <=50K
+18, Private, 28648, 11th, 7, Never-married, Other-service, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+37, State-gov, 34996, HS-grad, 9, Separated, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+43, Private, 281422, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 45, United-States, <=50K
+22, Private, 214716, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+28, Private, 314177, 10th, 6, Never-married, Handlers-cleaners, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K
+51, Private, 112310, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+63, Private, 203783, HS-grad, 9, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 72, United-States, <=50K
+29, Private, 205499, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 45, United-States, <=50K
+44, Private, 145441, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 48, United-States, >50K
+44, Private, 155701, 7th-8th, 4, Separated, Other-service, Unmarried, White, Female, 0, 0, 38, Peru, <=50K
+37, State-gov, 186934, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+62, Federal-gov, 209433, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+31, Private, 80933, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 52, United-States, <=50K
+20, Private, 102607, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+48, Private, 254809, 10th, 6, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 1594, 32, United-States, <=50K
+24, Self-emp-not-inc, 102942, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+56, State-gov, 175057, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+36, Federal-gov, 68781, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 35, United-States, <=50K
+29, Private, 108594, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 98283, Prof-school, 15, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Male, 0, 1564, 40, India, >50K
+39, Private, 56269, Some-college, 10, Never-married, Craft-repair, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+29, Private, 152503, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 45, United-States, <=50K
+38, Self-emp-inc, 206951, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 65, United-States, <=50K
+23, Private, 82393, 9th, 5, Never-married, Other-service, Own-child, Asian-Pac-Islander, Male, 0, 0, 20, Philippines, <=50K
+37, Private, 167396, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Guatemala, <=50K
+30, Self-emp-not-inc, 123397, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 30, United-States, <=50K
+58, ?, 147653, Some-college, 10, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 36, United-States, <=50K
+42, Private, 118652, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K
+59, Local-gov, 114401, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 1504, 19, United-States, <=50K
+45, Private, 186272, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 7298, 0, 40, United-States, >50K
+46, Private, 182689, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 231016, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 4650, 0, 37, United-States, <=50K
+41, Self-emp-inc, 60949, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K
+49, Private, 129513, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K
+37, Private, 84306, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 117507, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+22, Private, 88050, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 6, United-States, <=50K
+22, Private, 305498, HS-grad, 9, Divorced, Sales, Own-child, White, Female, 0, 0, 33, United-States, <=50K
+17, Private, 295308, 11th, 7, Never-married, Priv-house-serv, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+47, Private, 114459, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+17, Private, 176017, 10th, 6, Never-married, Other-service, Other-relative, White, Male, 0, 0, 15, United-States, <=50K
+39, Private, 248445, 5th-6th, 3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+23, Private, 214542, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+41, Private, 384508, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+36, Federal-gov, 403489, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K
+52, Private, 143953, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 40, United-States, >50K
+21, Private, 254904, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+33, Private, 98995, 10th, 6, Divorced, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K
+17, ?, 237078, 11th, 7, Never-married, ?, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+41, Private, 193995, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 44, United-States, <=50K
+19, Private, 205829, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+38, Federal-gov, 205852, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 45, United-States, >50K
+24, Private, 37072, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 275338, Bachelors, 13, Divorced, Sales, Unmarried, White, Female, 1151, 0, 40, United-States, <=50K
+39, State-gov, 122353, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K
+19, Private, 100009, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+31, ?, 37030, Assoc-acdm, 12, Never-married, ?, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+42, Private, 135056, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K
+36, Private, 135162, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 45, ?, <=50K
+29, Private, 280618, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+17, Private, 226717, 12th, 8, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+47, Local-gov, 173938, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K
+24, Private, 291355, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K
+61, Federal-gov, 160155, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+40, Self-emp-not-inc, 29762, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K
+31, ?, 82473, 9th, 5, Divorced, ?, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K
+59, Private, 172071, HS-grad, 9, Married-civ-spouse, Prof-specialty, Wife, Black, Female, 0, 0, 38, Jamaica, <=50K
+29, Private, 166210, Some-college, 10, Divorced, Tech-support, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K
+26, Private, 330263, HS-grad, 9, Separated, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+46, Private, 247043, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K
+56, Federal-gov, 155238, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+25, Private, 130557, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+17, Private, 56986, 12th, 8, Never-married, Sales, Own-child, White, Female, 0, 0, 18, United-States, <=50K
+29, Private, 220692, Assoc-voc, 11, Never-married, Exec-managerial, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+23, Private, 121650, 5th-6th, 3, Never-married, Handlers-cleaners, Unmarried, White, Male, 0, 0, 30, United-States, <=50K
+67, Private, 174603, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+29, Private, 341846, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+33, Private, 99339, Assoc-acdm, 12, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 880, 40, United-States, <=50K
+32, Private, 34437, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 141058, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 62, Mexico, <=50K
+49, Private, 192323, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+54, Self-emp-not-inc, 117674, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, ?, <=50K
+39, Private, 28572, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+41, Private, 120277, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 164309, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 38, United-States, <=50K
+47, Federal-gov, 102771, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+27, Private, 147951, HS-grad, 9, Never-married, Machine-op-inspct, Other-relative, White, Male, 0, 0, 1, United-States, <=50K
+23, Private, 188409, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 4508, 0, 25, United-States, <=50K
+44, Private, 173888, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 80, United-States, >50K
+25, Private, 247006, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K
+23, Private, 82889, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 16, United-States, <=50K
+52, Private, 259363, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K
+62, Federal-gov, 159165, HS-grad, 9, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K
+31, Private, 112062, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+19, Private, 299050, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K
+22, ?, 186452, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 36, United-States, <=50K
+53, Private, 548580, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Guatemala, <=50K
+25, Private, 234057, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+45, Private, 241350, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+69, Private, 108196, 9th, 5, Never-married, Craft-repair, Other-relative, White, Male, 2993, 0, 40, United-States, <=50K
+49, Private, 278322, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+42, Private, 157443, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female, 0, 0, 27, Taiwan, >50K
+44, Self-emp-not-inc, 37618, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, >50K
+56, Local-gov, 238582, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 41, United-States, >50K
+37, State-gov, 28887, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K
+37, Private, 77820, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+22, Private, 110946, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+34, Local-gov, 230420, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+36, Private, 206521, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+54, ?, 156877, HS-grad, 9, Divorced, ?, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K
+28, Local-gov, 283227, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 65, United-States, <=50K
+28, Private, 141957, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K
+36, Private, 58337, 10th, 6, Never-married, Sales, Unmarried, White, Female, 0, 0, 35, ?, <=50K
+73, Local-gov, 161027, 5th-6th, 3, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 20, United-States, <=50K
+37, Self-emp-not-inc, 31670, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K
+24, Private, 205844, Bachelors, 13, Never-married, Exec-managerial, Own-child, Black, Female, 0, 0, 65, United-States, <=50K
+30, State-gov, 46144, HS-grad, 9, Married-AF-spouse, Adm-clerical, Own-child, White, Female, 0, 0, 38, United-States, <=50K
+38, Private, 168055, Assoc-voc, 11, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+50, Private, 98350, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, >50K
+69, ?, 182668, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 45, United-States, >50K
+43, Private, 208613, Prof-school, 15, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male, 99999, 0, 40, United-States, >50K
+42, Private, 334522, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+54, State-gov, 187686, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K
+27, State-gov, 365916, Assoc-acdm, 12, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 58, United-States, <=50K
+39, Private, 190719, Some-college, 10, Divorced, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+27, Private, 218184, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, Jamaica, <=50K
+30, Private, 222162, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 66, United-States, <=50K
+30, Private, 148524, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 2057, 40, United-States, <=50K
+37, Private, 267085, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+50, Federal-gov, 307555, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 60, United-States, >50K
+36, Private, 229180, Some-college, 10, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 40, Cuba, <=50K
+22, Private, 279041, Some-college, 10, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 10, United-States, <=50K
+21, Private, 312017, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 54782, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 1579, 42, United-States, <=50K
+76, Private, 70697, 7th-8th, 4, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K
+22, ?, 263970, Some-college, 10, Never-married, ?, Not-in-family, White, Female, 0, 0, 28, United-States, <=50K
+37, Private, 188774, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 302770, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K
+29, Private, 183639, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 97, United-States, <=50K
+29, Private, 178551, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 175343, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+73, Self-emp-not-inc, 190078, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 35, United-States, <=50K
+43, Private, 117627, Some-college, 10, Divorced, Exec-managerial, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+39, Private, 108419, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+74, Private, 183701, 10th, 6, Widowed, Other-service, Not-in-family, Black, Female, 0, 0, 6, United-States, <=50K
+27, State-gov, 208406, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+47, Private, 148884, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K
+90, Private, 87285, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 24, United-States, <=50K
+47, Private, 199058, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K
+42, Private, 173628, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+69, Private, 370837, Bachelors, 13, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+18, ?, 179484, 12th, 8, Never-married, ?, Own-child, Other, Male, 0, 0, 40, United-States, <=50K
+23, Private, 342769, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+44, Local-gov, 65145, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 30, United-States, <=50K
+41, Private, 150533, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 2829, 0, 40, United-States, <=50K
+47, Local-gov, 272182, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+43, Private, 403467, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 7688, 0, 40, United-States, >50K
+33, Private, 252168, Some-college, 10, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+48, Private, 80430, 11th, 7, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+39, Private, 189623, Bachelors, 13, Divorced, Sales, Unmarried, White, Male, 0, 0, 60, United-States, <=50K
+43, Private, 115806, Masters, 14, Divorced, Exec-managerial, Unmarried, White, Female, 0, 2547, 40, United-States, >50K
+18, ?, 28357, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+52, Private, 226084, HS-grad, 9, Widowed, Priv-house-serv, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+18, Private, 150817, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+27, Self-emp-inc, 190911, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 45, United-States, <=50K
+27, Self-emp-inc, 120126, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 45, United-States, >50K
+45, Local-gov, 255559, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+79, ?, 142370, Prof-school, 15, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 10, United-States, <=50K
+24, Private, 173679, Assoc-voc, 11, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 20, United-States, <=50K
+25, Private, 35854, Some-college, 10, Married-spouse-absent, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+42, Self-emp-not-inc, 82161, 10th, 6, Widowed, Transport-moving, Unmarried, White, Male, 0, 0, 35, United-States, <=50K
+63, Self-emp-not-inc, 129845, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 226505, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 46, United-States, >50K
+47, Private, 151584, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 60, United-States, >50K
+42, Private, 136419, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K
+42, Private, 66460, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 45, United-States, <=50K
+63, Local-gov, 379940, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+37, Local-gov, 102936, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 55, United-States, <=50K
+65, Private, 205309, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 20, United-States, <=50K
+30, ?, 156890, 10th, 6, Divorced, ?, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+62, Private, 208711, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 50, United-States, >50K
+46, Private, 137547, HS-grad, 9, Divorced, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K
+23, Private, 220168, HS-grad, 9, Never-married, Sales, Other-relative, Black, Female, 0, 0, 25, Jamaica, <=50K
+47, Local-gov, 37672, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 45, United-States, <=50K
+20, Private, 196643, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+21, ?, 355686, HS-grad, 9, Never-married, ?, Own-child, White, Female, 0, 0, 10, United-States, <=50K
+28, Private, 197484, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+61, Local-gov, 115023, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+30, State-gov, 234824, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 72, United-States, <=50K
+30, State-gov, 361497, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 72, United-States, >50K
+29, Private, 351871, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, >50K
+39, Private, 324231, HS-grad, 9, Widowed, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+23, Private, 123490, 11th, 7, Divorced, Other-service, Unmarried, White, Female, 0, 0, 35, United-States, <=50K
+32, Private, 188245, 11th, 7, Never-married, Priv-house-serv, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+63, Private, 50349, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 34, United-States, <=50K
+19, Self-emp-not-inc, 47176, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K
+57, State-gov, 290661, Doctorate, 16, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 60, United-States, >50K
+41, Private, 221172, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+23, Private, 188950, Assoc-voc, 11, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 356882, Doctorate, 16, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+43, Self-emp-inc, 150533, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K
+64, Self-emp-not-inc, 167149, 7th-8th, 4, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 25, United-States, <=50K
+56, Private, 301835, 5th-6th, 3, Separated, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 313729, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+55, Private, 130957, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+17, Private, 197732, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 12, United-States, <=50K
+17, Private, 250541, 10th, 6, Never-married, Other-service, Own-child, Black, Male, 0, 0, 20, United-States, <=50K
+29, Private, 218785, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 65, United-States, <=50K
+23, ?, 232512, HS-grad, 9, Separated, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+37, Private, 194630, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+39, Private, 38721, HS-grad, 9, Divorced, Priv-house-serv, Unmarried, White, Female, 0, 0, 22, United-States, <=50K
+36, Private, 201519, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K
+50, Private, 279337, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 55, United-States, >50K
+41, ?, 27187, Assoc-voc, 11, Married-civ-spouse, ?, Husband, White, Male, 0, 2415, 12, United-States, >50K
+31, Private, 87560, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+71, ?, 100820, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 2489, 15, United-States, <=50K
+56, Private, 208431, Some-college, 10, Widowed, Exec-managerial, Not-in-family, Black, Female, 0, 0, 32, United-States, <=50K
+51, Private, 143822, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 40, United-States, >50K
+20, Private, 163205, Some-college, 10, Separated, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+53, Private, 171924, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 14344, 0, 55, United-States, >50K
+33, State-gov, 137616, Masters, 14, Never-married, Prof-specialty, Not-in-family, Black, Female, 0, 0, 35, United-States, <=50K
+27, Private, 156516, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 2377, 20, United-States, <=50K
+40, Private, 119101, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 5178, 0, 40, United-States, >50K
+45, Private, 117556, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 32, United-States, <=50K
+54, Private, 147863, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 5013, 0, 40, Vietnam, <=50K
+33, Self-emp-not-inc, 24504, HS-grad, 9, Separated, Craft-repair, Other-relative, White, Male, 0, 0, 50, United-States, <=50K
+27, ?, 157624, HS-grad, 9, Separated, ?, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+36, Private, 181721, 10th, 6, Never-married, Farming-fishing, Own-child, Black, Male, 0, 0, 60, United-States, <=50K
+42, Local-gov, 55363, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K
+33, Private, 92865, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+19, Private, 258633, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 25, ?, <=50K
+52, Federal-gov, 221532, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+41, Local-gov, 183224, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female, 0, 0, 40, Taiwan, >50K
+30, Private, 381153, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 300871, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+47, Private, 33710, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 3103, 0, 60, United-States, >50K
+26, Private, 158333, 5th-6th, 3, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, Columbia, <=50K
+36, Private, 288103, 11th, 7, Separated, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+35, Private, 108907, HS-grad, 9, Separated, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+46, Private, 358533, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 40, United-States, >50K
+24, Private, 126613, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 8, United-States, <=50K
+30, Private, 164190, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 5178, 0, 52, United-States, >50K
+38, Private, 199816, HS-grad, 9, Divorced, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+50, Private, 98228, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 45, United-States, <=50K
+41, Local-gov, 129060, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+38, Private, 22245, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K
+36, Private, 226918, Bachelors, 13, Never-married, Sales, Not-in-family, Black, Male, 0, 0, 48, United-States, <=50K
+47, Private, 398652, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+59, Private, 268840, Some-college, 10, Married-civ-spouse, Adm-clerical, Other-relative, White, Female, 0, 0, 16, United-States, >50K
+35, ?, 103710, Bachelors, 13, Divorced, ?, Unmarried, White, Female, 0, 0, 16, ?, <=50K
+59, Private, 91384, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K
+52, Private, 174767, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+37, Self-emp-inc, 126675, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K
+52, Private, 82285, Bachelors, 13, Married-spouse-absent, Other-service, Other-relative, Black, Female, 0, 0, 40, Haiti, <=50K
+51, Private, 177727, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K
+67, Self-emp-not-inc, 345236, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, <=50K
+58, ?, 347692, 11th, 7, Divorced, ?, Not-in-family, Black, Male, 0, 0, 15, United-States, <=50K
+68, Private, 156000, 10th, 6, Widowed, Other-service, Unmarried, Black, Female, 0, 0, 20, United-States, <=50K
+71, Private, 228806, 9th, 5, Divorced, Priv-house-serv, Not-in-family, Black, Female, 0, 0, 6, United-States, <=50K
+49, Local-gov, 184428, Masters, 14, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+35, Local-gov, 102938, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+18, Private, 161063, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 253752, 10th, 6, Married-civ-spouse, Farming-fishing, Wife, White, Female, 0, 0, 40, United-States, <=50K
+47, Self-emp-not-inc, 274800, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K
+31, Private, 129804, 9th, 5, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, Puerto-Rico, <=50K
+22, Federal-gov, 65547, Some-college, 10, Never-married, Exec-managerial, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+20, Private, 107658, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 10, United-States, <=50K
+57, Private, 161097, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 26, United-States, <=50K
+18, Private, 118376, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+32, Private, 131224, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+39, Private, 120985, HS-grad, 9, Divorced, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 215392, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+51, Private, 63685, HS-grad, 9, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 50, Cambodia, <=50K
+48, Private, 131826, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+39, Private, 211440, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 55, United-States, >50K
+35, Private, 31023, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K
+40, Private, 145439, 5th-6th, 3, Married-civ-spouse, Other-service, Husband, Other, Male, 4064, 0, 40, Mexico, <=50K
+19, Private, 255161, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 25, United-States, <=50K
+28, Private, 411950, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 275818, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 1974, 40, United-States, <=50K
+18, Private, 318082, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+23, Local-gov, 287988, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+47, Local-gov, 138342, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 3411, 0, 40, El-Salvador, <=50K
+42, Federal-gov, 115932, Bachelors, 13, Divorced, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 60358, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+17, Private, 140117, 10th, 6, Never-married, Sales, Own-child, White, Female, 0, 0, 12, United-States, <=50K
+34, Private, 158040, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+30, Self-emp-inc, 321990, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 60, ?, >50K
+29, Private, 232784, Assoc-acdm, 12, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 349368, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K
+46, Federal-gov, 325573, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+69, Private, 140176, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 24, United-States, <=50K
+50, Private, 128478, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, >50K
+19, ?, 318264, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+59, Private, 147989, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, ?, <=50K
+45, Federal-gov, 155659, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+41, State-gov, 288433, Masters, 14, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+47, Federal-gov, 329205, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+64, Private, 171373, 11th, 7, Widowed, Farming-fishing, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+29, Private, 228860, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 35, United-States, <=50K
+29, Private, 196116, Prof-school, 15, Divorced, Prof-specialty, Own-child, White, Female, 2174, 0, 72, United-States, <=50K
+17, Private, 47771, 11th, 7, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+24, Private, 201680, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Male, 0, 0, 60, United-States, <=50K
+28, Private, 337378, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 246449, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 3325, 0, 50, United-States, <=50K
+48, Private, 227714, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K
+36, Private, 177285, Assoc-voc, 11, Never-married, Prof-specialty, Unmarried, Black, Female, 0, 0, 38, United-States, <=50K
+38, Private, 71701, Assoc-voc, 11, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 40, Portugal, <=50K
+49, Private, 30219, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 1669, 40, United-States, <=50K
+42, Private, 280167, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+36, Self-emp-inc, 27408, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K
+25, Private, 167031, 10th, 6, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, Columbia, <=50K
+41, Private, 173682, Masters, 14, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+35, Self-emp-not-inc, 278557, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 30, United-States, <=50K
+32, Private, 113688, Assoc-voc, 11, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+41, Self-emp-not-inc, 252986, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+48, Private, 33669, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K
+56, Private, 100776, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 50, United-States, <=50K
+47, Self-emp-not-inc, 177457, Some-college, 10, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+30, State-gov, 312767, HS-grad, 9, Never-married, Sales, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+51, Private, 43354, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+22, Self-emp-inc, 375422, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, South, <=50K
+49, Self-emp-not-inc, 263568, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K
+67, ?, 74335, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 10, Germany, <=50K
+26, Private, 302097, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 3464, 0, 48, United-States, <=50K
+35, Private, 248010, Bachelors, 13, Married-spouse-absent, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+37, ?, 87369, 9th, 5, Divorced, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+34, Private, 405577, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+51, State-gov, 167065, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 102476, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+28, Federal-gov, 526528, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 3887, 0, 40, United-States, <=50K
+32, Private, 175878, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K
+55, Private, 213894, 11th, 7, Separated, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+17, Private, 150262, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+40, Private, 75363, Some-college, 10, Separated, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+38, Private, 272671, Bachelors, 13, Divorced, Sales, Own-child, White, Male, 0, 0, 50, United-States, <=50K
+67, Self-emp-inc, 411007, HS-grad, 9, Widowed, Exec-managerial, Not-in-family, White, Female, 15831, 0, 40, United-States, >50K
+44, Private, 222434, HS-grad, 9, Divorced, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 180246, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 40, United-States, >50K
+25, Private, 171236, HS-grad, 9, Divorced, Handlers-cleaners, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+45, Private, 367037, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+38, Private, 304651, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, >50K
+62, Private, 97017, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+20, Private, 146879, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 2001, 40, United-States, <=50K
+45, State-gov, 320818, Some-college, 10, Married-spouse-absent, Other-service, Other-relative, Black, Male, 0, 0, 40, Haiti, <=50K
+47, Self-emp-not-inc, 84735, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 20, United-States, >50K
+49, Private, 184428, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 326886, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+24, ?, 169624, HS-grad, 9, Divorced, ?, Unmarried, Black, Female, 0, 0, 37, United-States, <=50K
+29, Private, 212102, HS-grad, 9, Separated, Other-service, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K
+23, Private, 175837, 11th, 7, Never-married, Farming-fishing, Other-relative, White, Female, 0, 0, 40, Puerto-Rico, <=50K
+50, Private, 177487, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+44, Private, 286750, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 1902, 40, United-States, >50K
+44, Private, 171424, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+32, Private, 194981, HS-grad, 9, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 36, United-States, <=50K
+73, Private, 199362, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 30, United-States, <=50K
+24, Private, 204226, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+46, State-gov, 72506, HS-grad, 9, Married-civ-spouse, Other-service, Wife, Black, Female, 0, 0, 40, United-States, <=50K
+61, Self-emp-inc, 61040, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 36, United-States, >50K
+37, Federal-gov, 194630, Masters, 14, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+29, Private, 391867, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+40, Private, 94080, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+17, Private, 289405, 11th, 7, Never-married, Machine-op-inspct, Own-child, Other, Male, 0, 0, 12, United-States, <=50K
+30, Private, 170130, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+19, Private, 158118, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 1719, 40, United-States, <=50K
+30, Private, 447739, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+90, ?, 39824, HS-grad, 9, Widowed, ?, Not-in-family, White, Male, 401, 0, 4, United-States, <=50K
+76, ?, 312500, 5th-6th, 3, Widowed, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+47, Private, 223342, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 1504, 35, United-States, <=50K
+65, ?, 293385, Preschool, 1, Married-civ-spouse, ?, Husband, Black, Male, 0, 0, 30, United-States, <=50K
+25, Private, 106377, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+41, Private, 66118, Bachelors, 13, Divorced, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+47, Private, 274883, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+27, Local-gov, 123773, Assoc-acdm, 12, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+42, Local-gov, 70655, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 44, United-States, <=50K
+49, Private, 177426, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+37, Private, 200374, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1902, 40, United-States, >50K
+19, State-gov, 159269, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 15, United-States, <=50K
+24, Private, 235894, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 38, United-States, <=50K
+34, Local-gov, 97723, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+33, Private, 167309, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+44, Self-emp-not-inc, 98106, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+37, Federal-gov, 22201, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 7298, 0, 40, Philippines, >50K
+45, Private, 108993, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 265954, Bachelors, 13, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+58, Self-emp-inc, 100960, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K
+45, Private, 170092, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+54, Private, 326156, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+45, Private, 216932, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+69, Private, 36956, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 20051, 0, 50, United-States, >50K
+24, Private, 214014, HS-grad, 9, Never-married, Craft-repair, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+36, Private, 99872, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, India, <=50K
+61, State-gov, 151459, 10th, 6, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 38, United-States, <=50K
+57, Self-emp-inc, 161662, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 60, United-States, >50K
+56, Private, 367200, HS-grad, 9, Divorced, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 86648, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 45, United-States, >50K
+51, Local-gov, 168539, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+50, Private, 140741, 11th, 7, Never-married, Machine-op-inspct, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+25, Private, 197651, Some-college, 10, Never-married, Tech-support, Own-child, White, Female, 0, 0, 43, United-States, <=50K
+46, Private, 123053, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 50, Japan, >50K
+23, Private, 330571, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+44, Private, 204235, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+38, State-gov, 346766, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+35, ?, 257250, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 163396, Some-college, 10, Never-married, Tech-support, Not-in-family, Other, Female, 0, 0, 40, United-States, <=50K
+78, ?, 135839, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 1086, 0, 20, United-States, <=50K
+18, Private, 36251, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+40, Private, 149102, HS-grad, 9, Married-spouse-absent, Handlers-cleaners, Not-in-family, White, Male, 2174, 0, 60, Poland, <=50K
+61, ?, 222395, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+31, State-gov, 29152, 12th, 8, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K
+33, Private, 79303, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 45, United-States, <=50K
+35, Private, 272338, Assoc-voc, 11, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+55, State-gov, 200497, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+19, Private, 148392, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+31, Private, 164243, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1579, 40, United-States, <=50K
+43, State-gov, 129298, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+49, Local-gov, 174981, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 47, United-States, >50K
+48, Local-gov, 328610, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K
+27, Private, 77774, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 34, United-States, <=50K
+38, State-gov, 134069, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 60, United-States, >50K
+35, Private, 209214, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 4386, 0, 35, United-States, >50K
+29, Private, 153805, HS-grad, 9, Never-married, Machine-op-inspct, Other-relative, Other, Male, 0, 0, 40, Ecuador, <=50K
+27, Private, 168827, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 2, United-States, <=50K
+31, Private, 373432, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 43, United-States, <=50K
+26, Private, 57600, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+53, Self-emp-not-inc, 302847, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 35, United-States, <=50K
+23, Private, 227594, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+32, Federal-gov, 44777, HS-grad, 9, Separated, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 46, United-States, <=50K
+54, ?, 133963, HS-grad, 9, Widowed, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+36, Private, 279615, Bachelors, 13, Divorced, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+22, Private, 276133, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+62, Private, 136314, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K
+41, Private, 204410, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1485, 44, United-States, >50K
+59, Self-emp-inc, 223215, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 50, United-States, >50K
+43, Private, 184625, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K
+34, Self-emp-inc, 265917, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+27, Private, 158647, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+35, Private, 22055, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male, 0, 0, 60, United-States, <=50K
+41, Local-gov, 176716, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K
+42, Private, 270721, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 32, United-States, <=50K
+24, Private, 100321, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K
+35, Private, 79050, HS-grad, 9, Never-married, Transport-moving, Unmarried, Black, Male, 0, 0, 72, United-States, <=50K
+40, Local-gov, 42703, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K
+46, Private, 116952, 7th-8th, 4, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 45, United-States, <=50K
+45, Private, 331643, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+33, Private, 207937, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 1092, 40, United-States, <=50K
+68, Private, 223486, HS-grad, 9, Widowed, Other-service, Unmarried, White, Female, 0, 0, 7, England, <=50K
+33, Private, 340332, Bachelors, 13, Separated, Exec-managerial, Not-in-family, Black, Female, 0, 0, 45, United-States, <=50K
+23, Private, 184813, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 20, United-States, <=50K
+42, Self-emp-not-inc, 32185, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, >50K
+30, Private, 197886, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, >50K
+35, State-gov, 248374, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+40, Private, 382499, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 50, United-States, <=50K
+36, State-gov, 108320, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Male, 5455, 0, 30, United-States, <=50K
+46, Self-emp-inc, 161386, 9th, 5, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 50, United-States, <=50K
+49, Local-gov, 110172, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+41, Private, 144032, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K
+26, Private, 224426, Masters, 14, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 38, United-States, <=50K
+37, Private, 230408, HS-grad, 9, Divorced, Other-service, Not-in-family, Black, Female, 0, 0, 20, United-States, <=50K
+50, Local-gov, 20795, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K
+20, Private, 174714, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+59, State-gov, 398626, Doctorate, 16, Divorced, Prof-specialty, Unmarried, White, Male, 25236, 0, 45, United-States, >50K
+30, Private, 149531, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 34113, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+44, Local-gov, 323790, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K
+28, Private, 331381, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+48, Private, 160647, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, Ireland, >50K
+34, Private, 339142, HS-grad, 9, Separated, Handlers-cleaners, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+58, Private, 164857, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 99, United-States, <=50K
+33, Local-gov, 267859, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 167725, Bachelors, 13, Married-spouse-absent, Transport-moving, Not-in-family, Other, Male, 0, 0, 84, India, <=50K
+49, Federal-gov, 586657, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 40, United-States, >50K
+67, Self-emp-not-inc, 105907, 1st-4th, 2, Widowed, Other-service, Not-in-family, Black, Female, 0, 0, 20, United-States, <=50K
+23, Private, 200677, 10th, 6, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+42, Private, 193882, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+54, Private, 138026, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K
+49, Private, 122385, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+35, Private, 49020, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K
+26, Private, 283715, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 286406, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 3325, 0, 40, United-States, <=50K
+36, Private, 166416, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 156334, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+35, Local-gov, 45607, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 60, United-States, >50K
+40, Local-gov, 112362, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+52, Private, 200419, Assoc-acdm, 12, Separated, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+42, State-gov, 341638, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+25, ?, 34161, 12th, 8, Separated, ?, Unmarried, White, Female, 0, 0, 30, United-States, <=50K
+50, Self-emp-not-inc, 127151, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, Canada, >50K
+52, Private, 321959, Some-college, 10, Married-civ-spouse, Tech-support, Husband, Black, Male, 0, 0, 40, United-States, >50K
+51, Local-gov, 35211, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K
+19, Private, 214935, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+43, Private, 132130, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, >50K
+57, Private, 222247, 12th, 8, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K
+35, Private, 165799, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+30, Private, 257874, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+38, Private, 357173, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+45, State-gov, 305739, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+23, Private, 172047, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 110677, Some-college, 10, Separated, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+21, ?, 405684, HS-grad, 9, Never-married, ?, Other-relative, White, Male, 0, 0, 35, Mexico, <=50K
+60, Private, 82388, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 38, United-States, <=50K
+45, Private, 289230, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 48, United-States, >50K
+26, Private, 101812, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, White, Male, 5721, 0, 40, United-States, <=50K
+49, State-gov, 336509, 10th, 6, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 383402, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+47, Private, 328216, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 7298, 0, 40, United-States, >50K
+40, Private, 280362, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 35, United-States, <=50K
+34, Private, 212064, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 7443, 0, 35, United-States, <=50K
+42, Private, 173704, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 433375, 1st-4th, 2, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, Mexico, <=50K
+63, Self-emp-not-inc, 106551, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+53, Private, 22418, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 54816, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+44, Private, 358199, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K
+43, Private, 190044, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 97698, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 32, United-States, <=50K
+56, Private, 53366, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+39, Private, 236136, Assoc-voc, 11, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+44, Private, 326232, 7th-8th, 4, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K
+34, Private, 581071, HS-grad, 9, Separated, Adm-clerical, Not-in-family, White, Male, 0, 0, 48, United-States, >50K
+40, Private, 220589, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+38, Federal-gov, 161463, Some-college, 10, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+44, Private, 95255, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+34, Federal-gov, 223267, Some-college, 10, Divorced, Protective-serv, Own-child, White, Male, 0, 0, 72, United-States, <=50K
+22, Private, 236769, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 20, England, <=50K
+58, Self-emp-inc, 229498, Some-college, 10, Widowed, Sales, Not-in-family, White, Female, 0, 0, 20, United-States, >50K
+43, Private, 177083, Some-college, 10, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 30, United-States, <=50K
+23, Private, 287681, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, Columbia, <=50K
+41, Private, 49797, Some-college, 10, Separated, Exec-managerial, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+44, Private, 174051, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+32, Private, 194901, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+38, Local-gov, 252250, Assoc-acdm, 12, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 56, United-States, >50K
+47, Private, 191277, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+24, Private, 174907, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+39, Private, 167140, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 236543, 12th, 8, Divorced, Protective-serv, Own-child, White, Male, 0, 0, 54, Mexico, <=50K
+40, Private, 214242, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, <=50K
+34, Private, 216864, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 3770, 45, United-States, <=50K
+34, Private, 245211, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Male, 2036, 0, 30, United-States, <=50K
+57, Private, 437727, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 45, United-States, >50K
+71, Private, 200418, 5th-6th, 3, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+45, Local-gov, 167334, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, >50K
+54, Private, 146834, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+26, Private, 78424, Assoc-voc, 11, Never-married, Sales, Unmarried, White, Female, 0, 0, 54, United-States, <=50K
+37, Private, 182675, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 45, United-States, >50K
+28, Self-emp-not-inc, 38079, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 55, United-States, <=50K
+42, Private, 115178, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 15, United-States, <=50K
+45, Private, 195949, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 167415, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K
+57, Private, 223214, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K
+39, Private, 22245, Bachelors, 13, Married-civ-spouse, Prof-specialty, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+45, State-gov, 81853, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female, 0, 0, 40, United-States, >50K
+30, Private, 147921, Assoc-voc, 11, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 46, United-States, <=50K
+27, Private, 29261, HS-grad, 9, Married-AF-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+44, Private, 257758, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+44, State-gov, 136546, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 40, United-States, >50K
+38, Private, 205493, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 60, United-States, >50K
+19, Private, 71650, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+39, Private, 150217, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K
+55, Self-emp-inc, 258648, 10th, 6, Widowed, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+17, Private, 114798, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+43, Private, 186188, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+36, Local-gov, 175255, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 35, United-States, <=50K
+45, Private, 249935, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K
+44, Private, 120277, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 38, United-States, >50K
+26, Private, 193165, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 52, United-States, >50K
+32, Private, 185027, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1887, 40, Ireland, >50K
+21, Private, 221418, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+43, Federal-gov, 56063, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K
+34, Private, 153927, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+33, State-gov, 163110, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K
+40, Self-emp-inc, 175696, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 51, United-States, <=50K
+46, Private, 143189, 5th-6th, 3, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, Dominican-Republic, <=50K
+20, ?, 114969, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+54, State-gov, 32778, HS-grad, 9, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+23, Private, 150683, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+58, Self-emp-inc, 78104, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K
+25, Private, 335005, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 3137, 0, 40, United-States, <=50K
+50, Local-gov, 311551, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 50, United-States, >50K
+42, Self-emp-not-inc, 201520, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+25, Private, 124111, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K
+60, Private, 166386, 11th, 7, Married-civ-spouse, Machine-op-inspct, Wife, Asian-Pac-Islander, Female, 0, 0, 30, Hong, <=50K
+43, State-gov, 117471, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+25, Private, 361307, Bachelors, 13, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+31, Private, 142038, HS-grad, 9, Married-civ-spouse, Craft-repair, Wife, White, Female, 0, 0, 45, United-States, <=50K
+35, Private, 276552, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+48, Private, 50402, Some-college, 10, Divorced, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+43, Self-emp-not-inc, 174090, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 20, United-States, >50K
+27, Private, 277760, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+24, Private, 24243, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 1590, 40, United-States, <=50K
+44, Self-emp-inc, 151089, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 70, United-States, >50K
+52, Self-emp-not-inc, 165278, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 22, United-States, <=50K
+49, Private, 182752, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K
+31, Private, 173002, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+59, Private, 261232, 11th, 7, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 164607, Bachelors, 13, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+38, Self-emp-not-inc, 129573, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+51, Federal-gov, 36186, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+24, Private, 325744, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+58, Self-emp-inc, 329793, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+46, Private, 133616, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+55, Private, 83401, 5th-6th, 3, Widowed, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+76, Private, 239880, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 8, United-States, <=50K
+25, Private, 201737, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+51, Private, 192182, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 7298, 0, 40, United-States, >50K
+33, Private, 143540, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+46, Private, 28334, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+51, Private, 245873, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K
+42, Local-gov, 199095, Assoc-voc, 11, Widowed, Prof-specialty, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+53, Private, 104461, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 8614, 0, 50, Italy, >50K
+33, Local-gov, 183923, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 7688, 0, 35, United-States, >50K
+30, Private, 129707, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 35, United-States, >50K
+41, Local-gov, 575442, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+42, State-gov, 184682, Assoc-acdm, 12, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+34, Private, 69251, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, >50K
+31, Private, 225507, Assoc-voc, 11, Never-married, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+46, Private, 167515, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 50, United-States, >50K
+35, Private, 407068, 1st-4th, 2, Married-spouse-absent, Other-service, Not-in-family, White, Male, 0, 0, 40, Guatemala, <=50K
+40, Private, 170019, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, ?, <=50K
+46, Local-gov, 125892, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K
+43, Local-gov, 35824, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K
+35, Private, 67083, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 40, China, <=50K
+23, Private, 107801, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+50, Self-emp-not-inc, 95577, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 12, ?, <=50K
+43, Private, 118536, HS-grad, 9, Divorced, Machine-op-inspct, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K
+61, Private, 198078, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K
+29, Private, 78261, Prof-school, 15, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 50, United-States, <=50K
+21, Private, 234108, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+36, Local-gov, 241998, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1672, 50, United-States, <=50K
+40, Private, 92717, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+23, Private, 257683, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+90, Private, 40388, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K
+24, Private, 55424, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 169600, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 2176, 0, 12, United-States, <=50K
+40, Local-gov, 319271, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K
+37, Self-emp-not-inc, 75050, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K
+31, Private, 182896, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+22, Private, 188274, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 211497, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+46, Private, 113806, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 40, ?, >50K
+47, Local-gov, 172246, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K
+48, Local-gov, 219962, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+36, ?, 186815, Masters, 14, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 50, United-States, <=50K
+26, ?, 132749, Bachelors, 13, Never-married, ?, Not-in-family, White, Female, 0, 0, 80, United-States, <=50K
+28, Private, 209801, 9th, 5, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, United-States, <=50K
+20, State-gov, 178517, Some-college, 10, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+51, Private, 169364, Some-college, 10, Divorced, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 40, Ireland, <=50K
+32, Federal-gov, 164707, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K
+55, Private, 144084, 10th, 6, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+41, Local-gov, 133692, Bachelors, 13, Divorced, Protective-serv, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+46, Private, 184169, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 7688, 0, 35, United-States, >50K
+45, Self-emp-inc, 145290, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, >50K
+65, Local-gov, 24824, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+45, Private, 178319, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 50, United-States, >50K
+22, Private, 235829, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+22, ?, 196280, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+42, Self-emp-not-inc, 54202, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+37, Private, 220237, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 5178, 0, 40, United-States, >50K
+24, Private, 59146, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K
+67, Private, 64148, Some-college, 10, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 41, United-States, <=50K
+28, Private, 196621, HS-grad, 9, Married-spouse-absent, Tech-support, Not-in-family, White, Female, 0, 0, 37, United-States, <=50K
+56, Private, 195668, 10th, 6, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 35, Cuba, >50K
+31, State-gov, 263000, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 38, United-States, <=50K
+33, Private, 554986, Some-college, 10, Separated, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+52, ?, 108211, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+45, Private, 217654, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Germany, >50K
+53, Private, 139671, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 40, United-States, >50K
+47, Private, 102771, 7th-8th, 4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Portugal, <=50K
+40, Private, 213019, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 30, United-States, <=50K
+35, Private, 228493, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 48, United-States, <=50K
+65, Self-emp-not-inc, 22907, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K
+42, Private, 24364, Some-college, 10, Married-civ-spouse, Other-service, Wife, Black, Female, 0, 0, 30, United-States, <=50K
+23, Federal-gov, 41432, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K
+39, Private, 235259, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+39, Private, 343476, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 30, United-States, <=50K
+37, Private, 326886, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 248313, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+31, Self-emp-not-inc, 30290, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+39, Private, 188540, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+39, Private, 237943, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 30, United-States, >50K
+25, Private, 198870, Bachelors, 13, Never-married, Adm-clerical, Own-child, Black, Male, 0, 0, 35, United-States, <=50K
+30, Private, 233980, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 171090, 9th, 5, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female, 0, 0, 48, United-States, <=50K
+22, Private, 353039, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Female, 0, 0, 36, Mexico, <=50K
+46, Federal-gov, 213140, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 40, United-States, >50K
+54, Private, 188136, Bachelors, 13, Divorced, Sales, Not-in-family, White, Female, 0, 1408, 38, United-States, <=50K
+33, Private, 130057, Assoc-acdm, 12, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+70, State-gov, 345339, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 182074, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+53, Local-gov, 176557, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 50, United-States, <=50K
+55, State-gov, 71630, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 1617, 40, United-States, <=50K
+17, Private, 159849, 11th, 7, Never-married, Protective-serv, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+36, Private, 183425, Some-college, 10, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+36, Self-emp-not-inc, 125933, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 55, United-States, >50K
+40, Local-gov, 180123, HS-grad, 9, Married-spouse-absent, Farming-fishing, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+36, Private, 592930, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 50, United-States, >50K
+28, Private, 183802, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 55, United-States, <=50K
+39, Private, 77005, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 40, United-States, >50K
+49, Private, 80914, 5th-6th, 3, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+63, Self-emp-inc, 165667, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+61, Private, 123991, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 20, United-States, <=50K
+48, Self-emp-inc, 181307, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, >50K
+55, Private, 124137, HS-grad, 9, Married-spouse-absent, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, Poland, <=50K
+18, ?, 137363, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 4, United-States, <=50K
+20, Private, 291979, HS-grad, 9, Married-civ-spouse, Sales, Other-relative, White, Male, 0, 0, 20, United-States, <=50K
+49, Private, 91251, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 40, China, <=50K
+27, Federal-gov, 148153, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K
+37, Private, 131463, 10th, 6, Divorced, Other-service, Unmarried, White, Female, 0, 0, 33, United-States, <=50K
+32, State-gov, 127651, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K
+33, Self-emp-inc, 239018, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K
+47, Private, 276087, Assoc-voc, 11, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 26, United-States, <=50K
+34, Private, 386877, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+61, Private, 210464, HS-grad, 9, Divorced, Adm-clerical, Other-relative, Black, Female, 0, 0, 35, United-States, <=50K
+25, Private, 632834, HS-grad, 9, Never-married, Craft-repair, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+26, Private, 245465, Assoc-acdm, 12, Never-married, Sales, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+18, Private, 198087, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+35, Private, 27408, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K
+36, Private, 242713, HS-grad, 9, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, ?, <=50K
+56, Private, 314727, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, >50K
+40, State-gov, 269733, Assoc-voc, 11, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 177287, 12th, 8, Never-married, Other-service, Own-child, White, Female, 0, 0, 38, United-States, <=50K
+66, Private, 167711, HS-grad, 9, Widowed, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, >50K
+42, Private, 112181, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, United-States, <=50K
+28, Private, 339002, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+39, State-gov, 24721, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 35, United-States, <=50K
+65, Self-emp-not-inc, 37092, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 25, United-States, <=50K
+20, Private, 216563, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+52, Private, 204447, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 4386, 0, 40, United-States, >50K
+24, ?, 151153, Some-college, 10, Never-married, ?, Not-in-family, Asian-Pac-Islander, Male, 99999, 0, 50, South, >50K
+39, Private, 187089, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+18, Private, 423052, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+49, Private, 169180, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, Hong, <=50K
+21, Private, 104981, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 48, United-States, <=50K
+35, ?, 120074, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 30, United-States, <=50K
+38, Private, 269323, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+55, Private, 141549, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 214858, 10th, 6, Married-civ-spouse, Craft-repair, Other-relative, White, Male, 0, 0, 55, United-States, <=50K
+34, Private, 173524, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+54, Local-gov, 365049, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, Mexico, <=50K
+38, Private, 60355, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+32, Private, 86808, HS-grad, 9, Divorced, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+33, State-gov, 174171, Some-college, 10, Separated, Tech-support, Not-in-family, White, Male, 0, 0, 12, United-States, <=50K
+32, Federal-gov, 504951, Assoc-acdm, 12, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 50, United-States, <=50K
+34, Private, 294064, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, France, <=50K
+46, Private, 120131, Bachelors, 13, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 30, United-States, >50K
+48, Private, 199058, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+23, Private, 152328, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+48, Federal-gov, 88564, 7th-8th, 4, Married-spouse-absent, Handlers-cleaners, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+67, Private, 95113, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 37, United-States, >50K
+36, Private, 247558, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 5178, 0, 60, ?, >50K
+25, Private, 178421, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+43, Private, 484861, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 4064, 0, 38, United-States, <=50K
+27, Local-gov, 225291, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+56, Private, 205735, 1st-4th, 2, Separated, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+54, Self-emp-not-inc, 58898, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1579, 48, United-States, <=50K
+39, Private, 355468, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 1887, 46, United-States, >50K
+60, Self-emp-not-inc, 184362, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 25, United-States, <=50K
+27, Private, 347513, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+21, Private, 138768, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 29810, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+31, Private, 126501, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 60783, 10th, 6, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 15, United-States, <=50K
+26, Private, 179772, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+45, Self-emp-inc, 281911, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, <=50K
+33, Private, 70447, HS-grad, 9, Never-married, Transport-moving, Other-relative, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K
+55, ?, 449576, 5th-6th, 3, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 48, Mexico, <=50K
+29, Private, 327964, 9th, 5, Divorced, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+72, Private, 496538, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 6360, 0, 40, United-States, <=50K
+35, Self-emp-not-inc, 153066, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, >50K
+53, State-gov, 77651, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 119493, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+20, Private, 256240, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+69, Private, 177374, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 1848, 0, 12, United-States, <=50K
+41, Local-gov, 37848, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 25, United-States, <=50K
+45, Private, 129336, Masters, 14, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, >50K
+27, Private, 183511, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+46, Self-emp-inc, 120131, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 60, United-States, >50K
+55, Private, 190508, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 35, United-States, <=50K
+31, Private, 363130, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, United-States, >50K
+45, Private, 240356, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K
+64, Private, 133166, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 5, United-States, <=50K
+38, Private, 32916, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K
+17, Private, 117477, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 34748, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 1887, 20, United-States, >50K
+22, Private, 459463, 12th, 8, Married-spouse-absent, Other-service, Unmarried, Black, Female, 0, 0, 50, United-States, <=50K
+23, Private, 95989, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+25, Private, 118088, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 150570, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 3103, 0, 43, United-States, >50K
+31, ?, 505438, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 30, Mexico, <=50K
+37, Private, 179731, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 35, United-States, <=50K
+53, Private, 122109, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 1876, 38, United-States, <=50K
+28, Local-gov, 163942, Some-college, 10, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 106670, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K
+41, Private, 123403, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+61, Self-emp-inc, 119986, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K
+25, Private, 66622, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+20, ?, 40060, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 56, United-States, <=50K
+35, Private, 260578, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, >50K
+64, Local-gov, 96076, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+28, Private, 70604, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 38, United-States, <=50K
+39, Self-emp-not-inc, 230329, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 1564, 12, United-States, >50K
+53, Private, 49715, HS-grad, 9, Divorced, Transport-moving, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 116531, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+38, Federal-gov, 214542, Some-college, 10, Divorced, Handlers-cleaners, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+25, Local-gov, 335005, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 35, Italy, <=50K
+19, Private, 258633, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+20, Private, 203240, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+27, Private, 104457, Bachelors, 13, Never-married, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, ?, <=50K
+55, Local-gov, 99131, HS-grad, 9, Married-civ-spouse, Prof-specialty, Other-relative, White, Female, 0, 2246, 40, United-States, >50K
+52, State-gov, 125796, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, Black, Female, 0, 1848, 40, United-States, >50K
+21, ?, 479482, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+30, Private, 167790, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+47, Private, 133758, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 1974, 40, United-States, <=50K
+22, Private, 106843, 10th, 6, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 30, United-States, <=50K
+24, Private, 117959, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 4386, 0, 40, United-States, >50K
+26, Private, 174921, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+27, Private, 134152, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, <=50K
+57, Private, 99364, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Puerto-Rico, <=50K
+18, Local-gov, 155905, Masters, 14, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 60, United-States, <=50K
+30, Private, 467108, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+34, Self-emp-not-inc, 304622, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 50, United-States, <=50K
+40, Private, 198692, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 5178, 0, 60, United-States, >50K
+60, Private, 178050, HS-grad, 9, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 38, United-States, <=50K
+25, Private, 162687, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+39, Private, 113151, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K
+48, Private, 158924, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K
+27, Self-emp-not-inc, 141795, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 30, United-States, <=50K
+33, Self-emp-not-inc, 33404, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 65, United-States, >50K
+65, Self-emp-inc, 178771, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+52, Private, 168553, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1977, 40, United-States, >50K
+27, Private, 110648, Bachelors, 13, Never-married, Tech-support, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 151053, Some-college, 10, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+45, Self-emp-not-inc, 142871, Some-college, 10, Separated, Sales, Unmarried, White, Male, 0, 0, 50, United-States, <=50K
+18, ?, 343161, 11th, 7, Never-married, ?, Own-child, White, Male, 0, 0, 16, United-States, <=50K
+27, Private, 183523, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+57, Self-emp-not-inc, 222216, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 60, United-States, <=50K
+44, Private, 121874, Some-college, 10, Divorced, Sales, Unmarried, White, Male, 0, 0, 55, United-States, >50K
+30, Private, 467108, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 44, United-States, >50K
+26, Private, 34393, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+28, Federal-gov, 42003, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+61, Private, 180418, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K
+49, Self-emp-not-inc, 199590, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, Mexico, <=50K
+33, Private, 144949, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 40, United-States, >50K
+50, Private, 155594, Assoc-acdm, 12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, >50K
+53, Self-emp-not-inc, 162576, 7th-8th, 4, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 99, United-States, <=50K
+33, Private, 232475, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+22, Private, 269474, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 10, United-States, <=50K
+45, Local-gov, 140644, Bachelors, 13, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+26, ?, 39640, Some-college, 10, Never-married, ?, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+50, ?, 346014, 7th-8th, 4, Separated, ?, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+47, Self-emp-not-inc, 159726, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+52, Federal-gov, 290856, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+57, Private, 217886, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K
+21, ?, 199915, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+58, Private, 106546, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 2174, 0, 40, United-States, <=50K
+50, Local-gov, 220640, Masters, 14, Divorced, Prof-specialty, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 50, United-States, >50K
+33, Federal-gov, 88913, Some-college, 10, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K
+34, Self-emp-not-inc, 288486, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 227411, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+37, Local-gov, 99935, Masters, 14, Married-civ-spouse, Protective-serv, Husband, White, Male, 7688, 0, 50, United-States, >50K
+57, Private, 201112, Assoc-acdm, 12, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+57, Self-emp-not-inc, 123778, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 48, United-States, <=50K
+21, Private, 204596, Assoc-acdm, 12, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 8, United-States, <=50K
+40, Private, 190290, Some-college, 10, Divorced, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 196674, Some-college, 10, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+54, Private, 108435, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 20, United-States, <=50K
+38, Private, 186359, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+32, Private, 137076, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 60, United-States, >50K
+22, State-gov, 262819, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+27, Private, 171655, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 42, United-States, <=50K
+42, Private, 183319, 5th-6th, 3, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, El-Salvador, <=50K
+36, Private, 127306, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 47, United-States, <=50K
+22, Private, 68678, HS-grad, 9, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+40, State-gov, 140108, 9th, 5, Separated, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+26, Private, 263444, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, <=50K
+46, State-gov, 265554, HS-grad, 9, Never-married, Transport-moving, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+28, Private, 410216, 11th, 7, Married-civ-spouse, Craft-repair, Not-in-family, White, Male, 0, 0, 60, United-States, >50K
+46, State-gov, 20534, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+55, Private, 188917, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+76, Private, 98695, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+27, Private, 411950, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+50, Private, 237819, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K
+75, Private, 187424, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 20, United-States, <=50K
+42, Federal-gov, 198316, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+36, Local-gov, 139703, Masters, 14, Never-married, Prof-specialty, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+51, Private, 152596, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K
+43, Private, 194726, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 55, United-States, >50K
+44, Private, 82601, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+20, ?, 229843, Some-college, 10, Never-married, ?, Not-in-family, Black, Female, 0, 0, 20, United-States, <=50K
+60, Private, 122276, 5th-6th, 3, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, Italy, <=50K
+47, State-gov, 188386, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K
+73, Private, 92298, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 15, United-States, <=50K
+27, Private, 390657, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+50, Private, 89041, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 15024, 0, 50, United-States, >50K
+35, Private, 314897, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Puerto-Rico, <=50K
+31, Private, 166343, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, Black, Male, 0, 0, 50, ?, <=50K
+45, Private, 88781, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Germany, >50K
+57, Private, 41762, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, South, >50K
+34, Private, 849857, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Nicaragua, <=50K
+19, Private, 307496, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 16, United-States, <=50K
+25, Private, 324372, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+39, Private, 99270, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 50, Germany, >50K
+28, Private, 160731, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Poland, >50K
+48, State-gov, 148306, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+38, Private, 259019, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 44, United-States, <=50K
+53, Private, 224894, 5th-6th, 3, Married-civ-spouse, Priv-house-serv, Wife, Black, Female, 0, 0, 10, Haiti, <=50K
+19, Private, 258470, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+41, Private, 197919, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 60, United-States, <=50K
+23, Private, 213719, Assoc-acdm, 12, Never-married, Sales, Own-child, Black, Female, 0, 0, 36, United-States, <=50K
+32, Private, 226535, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 146042, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K
+21, Private, 180339, Assoc-voc, 11, Never-married, Farming-fishing, Not-in-family, White, Female, 0, 1602, 30, United-States, <=50K
+24, Private, 99970, Bachelors, 13, Never-married, Tech-support, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 300687, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+29, Local-gov, 219906, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 25, United-States, >50K
+24, Private, 122234, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 20, ?, <=50K
+55, Private, 158641, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+28, Private, 239539, HS-grad, 9, Married-spouse-absent, Machine-op-inspct, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K
+46, Local-gov, 102308, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 186934, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 234447, Some-college, 10, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+35, Private, 125933, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K
+29, Private, 142760, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+41, State-gov, 309056, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+40, Self-emp-not-inc, 48859, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 32, United-States, <=50K
+30, Private, 110594, HS-grad, 9, Divorced, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+72, Private, 426562, 11th, 7, Divorced, Other-service, Not-in-family, Black, Female, 0, 0, 35, United-States, <=50K
+17, Private, 169037, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+46, Self-emp-inc, 123075, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 70, United-States, <=50K
+38, Private, 195744, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K
+36, Private, 81896, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+24, Self-emp-not-inc, 172047, Assoc-acdm, 12, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 253814, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 35, United-States, <=50K
+28, Private, 66473, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+60, ?, 56248, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 1485, 70, United-States, >50K
+42, Local-gov, 271521, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, Other, Male, 0, 0, 40, United-States, >50K
+48, Private, 265295, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+37, Self-emp-not-inc, 174308, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 196342, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+55, Private, 223594, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Black, Male, 7688, 0, 40, Puerto-Rico, >50K
+30, Private, 149787, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+68, Private, 124686, 7th-8th, 4, Widowed, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 10, United-States, <=50K
+45, Private, 50163, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+26, Private, 175789, HS-grad, 9, Divorced, Handlers-cleaners, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+22, Private, 218215, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+22, Private, 166371, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 169469, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 40, United-States, >50K
+52, Private, 145081, 7th-8th, 4, Never-married, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+68, Private, 214521, Prof-school, 15, Widowed, Prof-specialty, Unmarried, White, Female, 0, 0, 16, United-States, <=50K
+26, Local-gov, 287233, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, Black, Female, 0, 0, 40, United-States, >50K
+52, Private, 201310, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, ?, <=50K
+46, Self-emp-not-inc, 197836, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 1672, 50, United-States, <=50K
+53, Private, 158294, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 40, United-States, >50K
+17, Private, 127366, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 8, United-States, <=50K
+29, Private, 203697, Bachelors, 13, Married-civ-spouse, Prof-specialty, Own-child, White, Male, 0, 0, 75, United-States, <=50K
+41, Private, 168730, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+45, Private, 165232, Some-college, 10, Divorced, Tech-support, Not-in-family, Black, Female, 0, 0, 40, Trinadad&Tobago, <=50K
+57, Private, 175942, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, >50K
+30, Federal-gov, 356689, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 30, Japan, <=50K
+46, Private, 132912, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K
+45, Private, 187226, Assoc-acdm, 12, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+59, ?, 254765, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, >50K
+40, Private, 202565, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 52, United-States, <=50K
+38, State-gov, 103925, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 2036, 0, 20, United-States, <=50K
+22, Private, 112164, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, ?, <=50K
+59, Self-emp-not-inc, 70623, 7th-8th, 4, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 85, United-States, <=50K
+36, Private, 102729, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 558944, 7th-8th, 4, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+18, Private, 256967, 10th, 6, Never-married, Sales, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K
+62, ?, 144583, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+63, Private, 102412, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+29, Private, 159788, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 80, United-States, <=50K
+27, Private, 55743, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, Black, Female, 0, 0, 45, United-States, >50K
+47, State-gov, 148171, Doctorate, 16, Divorced, Prof-specialty, Unmarried, White, Male, 0, 0, 50, France, >50K
+20, Local-gov, 271354, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+48, Private, 98524, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+29, Private, 272913, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 30, Mexico, <=50K
+22, Private, 324445, HS-grad, 9, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+42, Private, 155469, Assoc-acdm, 12, Widowed, Tech-support, Unmarried, White, Female, 0, 0, 24, United-States, <=50K
+36, Private, 102945, Assoc-voc, 11, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+60, Private, 291904, 10th, 6, Divorced, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+41, Federal-gov, 186601, HS-grad, 9, Separated, Exec-managerial, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+43, Private, 172401, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+33, Private, 193285, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 38, United-States, >50K
+34, Private, 176244, 7th-8th, 4, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K
+32, Private, 117779, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+22, ?, 34616, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+52, Private, 169182, 9th, 5, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 25, Puerto-Rico, <=50K
+27, Private, 180758, Assoc-acdm, 12, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+60, Local-gov, 141637, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+41, Self-emp-not-inc, 169023, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 7688, 0, 40, United-States, >50K
+34, Self-emp-not-inc, 101266, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 62, United-States, <=50K
+30, Private, 164190, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+35, Private, 142282, Some-college, 10, Separated, Other-service, Unmarried, White, Female, 0, 0, 25, United-States, <=50K
+39, Federal-gov, 103984, Bachelors, 13, Divorced, Exec-managerial, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+64, Private, 187601, Some-college, 10, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+17, Self-emp-not-inc, 36218, 11th, 7, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+29, State-gov, 106334, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, ?, <=50K
+37, Local-gov, 249392, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K
+43, Self-emp-not-inc, 110355, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K
+30, Self-emp-not-inc, 117944, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 25, United-States, <=50K
+17, Private, 163836, 10th, 6, Never-married, Sales, Own-child, White, Female, 0, 0, 12, United-States, <=50K
+29, Private, 145592, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Guatemala, <=50K
+24, Private, 108495, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, India, <=50K
+27, Self-emp-not-inc, 212041, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+69, Self-emp-inc, 182451, Bachelors, 13, Separated, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 124020, HS-grad, 9, Married-spouse-absent, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 199116, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Puerto-Rico, <=50K
+17, ?, 144114, 10th, 6, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+61, Private, 107438, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 1651, 40, United-States, <=50K
+70, Private, 405362, 7th-8th, 4, Widowed, Other-service, Unmarried, Black, Female, 0, 0, 38, United-States, <=50K
+32, Private, 175856, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 1902, 40, United-States, >50K
+21, ?, 262241, HS-grad, 9, Never-married, ?, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+27, Self-emp-not-inc, 420054, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Male, 9562, 0, 50, United-States, >50K
+27, Private, 86681, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+19, Private, 187161, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+44, State-gov, 691903, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 60, United-States, >50K
+36, Private, 219483, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+45, Private, 199058, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 50, United-States, >50K
+29, Private, 192010, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 60, Poland, <=50K
+34, Federal-gov, 419691, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 7298, 0, 54, United-States, >50K
+28, Local-gov, 356089, Bachelors, 13, Never-married, Prof-specialty, Other-relative, White, Male, 0, 0, 50, United-States, <=50K
+34, Private, 684015, 5th-6th, 3, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, El-Salvador, <=50K
+18, Private, 36882, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+39, Private, 203180, Some-college, 10, Divorced, Farming-fishing, Unmarried, White, Female, 0, 0, 45, United-States, <=50K
+34, Private, 183811, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+35, Local-gov, 103966, Masters, 14, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 41, United-States, <=50K
+24, Private, 304602, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+41, Private, 57233, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 70, United-States, <=50K
+50, State-gov, 289207, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 45, United-States, >50K
+68, Private, 224019, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+35, Private, 267966, 11th, 7, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+47, Private, 214800, Assoc-voc, 11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+43, Local-gov, 241528, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+35, Private, 197365, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 296724, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 17, United-States, <=50K
+26, Private, 136226, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+50, Private, 40623, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+22, Private, 264874, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+20, Private, 112847, HS-grad, 9, Never-married, Farming-fishing, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K
+18, ?, 236090, HS-grad, 9, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+52, Self-emp-not-inc, 89028, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K
+71, State-gov, 210673, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 28, United-States, <=50K
+55, Private, 60193, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+17, Private, 216137, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 8, United-States, <=50K
+36, Private, 139743, Some-college, 10, Widowed, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+25, ?, 32276, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+39, Local-gov, 423605, 12th, 8, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1848, 40, Nicaragua, >50K
+27, Private, 298871, Bachelors, 13, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K
+42, Private, 318255, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+22, Private, 347867, HS-grad, 9, Married-spouse-absent, Sales, Not-in-family, White, Male, 0, 1719, 40, United-States, <=50K
+57, Private, 279636, Assoc-voc, 11, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+34, Private, 405386, Some-college, 10, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 28, United-States, <=50K
+31, Private, 297188, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K
+24, Private, 182342, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+41, Self-emp-not-inc, 229148, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 60, Jamaica, <=50K
+30, Private, 189620, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Female, 6849, 0, 40, England, <=50K
+17, Private, 413557, 11th, 7, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 32, United-States, <=50K
+26, Self-emp-inc, 246025, HS-grad, 9, Separated, Sales, Unmarried, White, Female, 0, 0, 20, Honduras, <=50K
+32, Private, 390997, 1st-4th, 2, Never-married, Farming-fishing, Not-in-family, Other, Male, 0, 0, 50, Mexico, <=50K
+55, Private, 102058, 10th, 6, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K
+19, Private, 247298, 12th, 8, Married-spouse-absent, Other-service, Own-child, Other, Female, 0, 0, 20, United-States, <=50K
+28, Private, 140108, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+55, ?, 216941, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 2885, 0, 40, United-States, <=50K
+49, Private, 81654, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K
+23, Private, 177526, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+43, Private, 64631, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 110028, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+41, Private, 203761, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+23, Private, 163870, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+59, Federal-gov, 117299, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1887, 40, United-States, >50K
+20, Private, 50648, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+21, Private, 166517, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+28, ?, 173800, Bachelors, 13, Married-spouse-absent, ?, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 10, Taiwan, <=50K
+44, Self-emp-inc, 181762, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K
+31, Self-emp-not-inc, 340880, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 48, United-States, <=50K
+50, Self-emp-not-inc, 114758, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Male, 4416, 0, 45, United-States, <=50K
+54, Private, 138847, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, >50K
+28, Private, 215014, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K
+34, Private, 183778, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+46, Private, 273629, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+28, Self-emp-inc, 113870, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K
+23, Private, 213955, HS-grad, 9, Never-married, Adm-clerical, Own-child, Black, Male, 0, 2001, 40, United-States, <=50K
+29, Private, 114982, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K
+35, Private, 205338, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+41, Self-emp-not-inc, 57924, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 7688, 0, 50, United-States, >50K
+90, ?, 225063, Some-college, 10, Never-married, ?, Own-child, Asian-Pac-Islander, Male, 0, 0, 10, South, <=50K
+35, Self-emp-not-inc, 202027, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 55, United-States, >50K
+20, Private, 281356, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Other, Male, 0, 0, 40, United-States, <=50K
+42, Private, 30824, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 2354, 0, 16, United-States, <=50K
+56, Private, 98809, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 5013, 0, 45, United-States, <=50K
+31, Private, 38223, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 45, United-States, <=50K
+23, Private, 172232, HS-grad, 9, Never-married, Tech-support, Own-child, White, Male, 0, 0, 50, United-States, <=50K
+60, Private, 140544, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 221366, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 180799, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, >50K
+36, Private, 111499, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 14084, 0, 40, United-States, >50K
+44, Self-emp-not-inc, 155930, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K
+34, Private, 201122, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, >50K
+27, Private, 101709, HS-grad, 9, Never-married, Sales, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K
+49, Private, 140121, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 50, United-States, <=50K
+48, Private, 172709, HS-grad, 9, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+47, Private, 120131, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K
+34, Private, 117444, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 65, United-States, >50K
+27, Private, 256764, Assoc-acdm, 12, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+31, Local-gov, 176185, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 4064, 0, 40, ?, <=50K
+24, Private, 223811, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 201603, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+25, Private, 138765, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 133974, Assoc-voc, 11, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+38, Federal-gov, 137953, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, <=50K
+57, Private, 103403, 5th-6th, 3, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 461678, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, >50K
+41, State-gov, 70884, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K
+56, State-gov, 466498, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 60, United-States, >50K
+19, Private, 148644, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+44, Private, 190739, HS-grad, 9, Never-married, Other-service, Other-relative, Black, Male, 0, 0, 32, United-States, <=50K
+34, Private, 299507, Assoc-voc, 11, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+25, Private, 211424, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+27, State-gov, 106721, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 192017, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+59, Private, 530099, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1887, 55, United-States, >50K
+34, Private, 119153, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K
+30, Private, 202450, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 65, United-States, >50K
+21, Private, 50341, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K
+24, Private, 140001, Some-college, 10, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, Italy, <=50K
+19, ?, 220517, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+82, ?, 52921, Some-college, 10, Widowed, ?, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 3, United-States, <=50K
+35, Private, 31964, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+32, Private, 148207, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+45, Private, 151627, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 45, United-States, <=50K
+30, Private, 402539, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+28, Self-emp-not-inc, 188278, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K
+28, Self-emp-not-inc, 96219, Bachelors, 13, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 5, United-States, <=50K
+29, Private, 340534, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 44, United-States, <=50K
+60, Private, 160339, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Columbia, <=50K
+28, Private, 120135, Assoc-voc, 11, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+38, Federal-gov, 303817, Some-college, 10, Divorced, Exec-managerial, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+31, Private, 181091, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K
+28, Private, 200515, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 35, United-States, >50K
+42, Private, 160893, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 23, United-States, <=50K
+40, Local-gov, 183096, 9th, 5, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, Yugoslavia, >50K
+24, Private, 241367, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+37, Self-emp-inc, 342084, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K
+36, Private, 193855, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+39, Private, 80410, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 554317, 9th, 5, Married-spouse-absent, Other-service, Other-relative, White, Male, 0, 0, 35, Mexico, <=50K
+46, Private, 85109, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 1628, 40, United-States, <=50K
+28, Private, 108569, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 43, United-States, <=50K
+34, Private, 120959, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+42, Private, 222011, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 43, United-States, <=50K
+43, Private, 238530, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 48404, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+60, Private, 88055, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 3781, 0, 16, United-States, <=50K
+33, Private, 238381, Some-college, 10, Never-married, Craft-repair, Not-in-family, Black, Male, 8614, 0, 40, United-States, >50K
+22, Private, 243923, HS-grad, 9, Married-civ-spouse, Transport-moving, Other-relative, White, Male, 0, 0, 80, United-States, <=50K
+39, Private, 305597, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 141841, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 5178, 0, 40, United-States, >50K
+39, Private, 129764, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+37, Self-emp-not-inc, 150993, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K
+63, Self-emp-not-inc, 147140, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, >50K
+46, State-gov, 30219, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 38, United-States, >50K
+48, Private, 167967, HS-grad, 9, Separated, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+33, Private, 133278, HS-grad, 9, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+65, Private, 172510, Some-college, 10, Widowed, Prof-specialty, Not-in-family, White, Female, 1848, 0, 20, Hungary, <=50K
+39, Private, 192251, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, >50K
+43, Private, 210844, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, Black, Female, 0, 0, 40, United-States, >50K
+28, Private, 263015, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+50, Self-emp-not-inc, 155118, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 99999, 0, 35, United-States, >50K
+24, State-gov, 232918, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K
+48, Private, 143542, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 45607, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+62, Private, 29828, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+42, Self-emp-not-inc, 104118, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+60, Private, 191446, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 40, United-States, >50K
+50, Private, 27484, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+40, Private, 205987, Prof-school, 15, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, Cuba, <=50K
+39, Local-gov, 143385, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+43, ?, 200508, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+43, Local-gov, 186995, HS-grad, 9, Divorced, Protective-serv, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+35, Private, 54159, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 38, United-States, <=50K
+39, Private, 113481, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+30, Local-gov, 235271, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K
+32, Private, 349365, Some-college, 10, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 65, United-States, <=50K
+18, Private, 283637, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 70282, Assoc-acdm, 12, Never-married, Sales, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+26, Private, 166051, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+51, Private, 193720, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 42, United-States, <=50K
+35, ?, 124836, Some-college, 10, Divorced, ?, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 36, United-States, <=50K
+33, Private, 236379, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K
+46, Private, 122026, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 44, United-States, >50K
+40, Private, 114537, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+34, Private, 191834, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, <=50K
+29, Private, 420054, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+47, Self-emp-not-inc, 160045, Some-college, 10, Widowed, Other-service, Unmarried, White, Female, 0, 0, 35, United-States, <=50K
+34, Private, 303187, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, ?, >50K
+45, Private, 190088, HS-grad, 9, Married-spouse-absent, Adm-clerical, Unmarried, White, Female, 0, 0, 30, United-States, <=50K
+53, Private, 126977, HS-grad, 9, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+52, Self-emp-not-inc, 63004, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K
+64, Private, 391121, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, >50K
+42, Private, 211450, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, >50K
+44, Private, 156413, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 44, United-States, >50K
+41, Private, 116797, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 7298, 0, 50, United-States, >50K
+53, Local-gov, 204447, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 43, United-States, >50K
+25, Private, 66935, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+20, Private, 344278, 11th, 7, Separated, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+29, Private, 108574, Assoc-voc, 11, Never-married, Priv-house-serv, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+56, Private, 244605, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+45, Private, 363677, Doctorate, 16, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1977, 30, United-States, >50K
+56, Private, 219762, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 35, United-States, <=50K
+38, Self-emp-inc, 269318, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 40, United-States, >50K
+62, Private, 77884, HS-grad, 9, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K
+28, Self-emp-not-inc, 70100, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+31, Private, 213643, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 3908, 0, 40, United-States, <=50K
+24, Private, 69640, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+65, Private, 170012, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 34, United-States, <=50K
+40, Private, 329924, HS-grad, 9, Separated, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 30, United-States, <=50K
+31, Private, 193285, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 261241, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 1741, 60, United-States, <=50K
+42, Federal-gov, 108183, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 1902, 40, South, >50K
+20, Private, 296618, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+30, Local-gov, 257796, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+25, Private, 155320, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 45, United-States, <=50K
+22, Private, 151888, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+65, ?, 143118, HS-grad, 9, Widowed, ?, Unmarried, White, Female, 0, 2206, 10, United-States, <=50K
+31, Private, 66278, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, White, Female, 3908, 0, 40, United-States, <=50K
+56, Private, 92444, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 50, United-States, >50K
+51, Private, 229272, HS-grad, 9, Divorced, Other-service, Other-relative, Black, Male, 0, 0, 32, Haiti, <=50K
+36, Self-emp-not-inc, 207202, 10th, 6, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K
+44, State-gov, 154176, Some-college, 10, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 1590, 40, United-States, <=50K
+49, Private, 180899, Masters, 14, Divorced, Exec-managerial, Unmarried, White, Male, 0, 1755, 45, United-States, >50K
+28, Private, 205337, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+57, Private, 180779, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 40, United-States, >50K
+33, Self-emp-not-inc, 343021, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K
+49, Private, 176814, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 5178, 0, 40, United-States, >50K
+74, State-gov, 88638, Doctorate, 16, Never-married, Prof-specialty, Other-relative, White, Female, 0, 3683, 20, United-States, >50K
+48, Private, 248059, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 5013, 0, 45, United-States, <=50K
+38, Private, 409604, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 40, United-States, >50K
+39, Private, 185053, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+46, Private, 332884, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 65, United-States, >50K
+56, Private, 212864, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+27, Private, 66473, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+17, Private, 285169, 11th, 7, Never-married, Priv-house-serv, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+28, Private, 175431, 9th, 5, Divorced, Prof-specialty, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+18, ?, 152641, 10th, 6, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+42, Private, 339346, Masters, 14, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K
+39, Private, 287306, Some-college, 10, Separated, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+29, Self-emp-not-inc, 70604, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 3464, 0, 40, United-States, <=50K
+21, Private, 88926, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 10, United-States, <=50K
+36, Private, 91275, Some-college, 10, Never-married, Adm-clerical, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K
+56, Private, 244554, 10th, 6, Widowed, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+49, Private, 232586, 5th-6th, 3, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+47, Self-emp-inc, 127678, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 80, United-States, <=50K
+44, Private, 162184, Some-college, 10, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+40, Private, 408229, 1st-4th, 2, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 45, El-Salvador, <=50K
+43, State-gov, 139734, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 40, United-States, >50K
+62, Private, 197286, 12th, 8, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 48, Germany, <=50K
+52, Private, 229983, Prof-school, 15, Married-civ-spouse, Prof-specialty, Wife, White, Female, 3103, 0, 30, United-States, >50K
+25, Private, 252803, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+63, Self-emp-inc, 110890, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 70, United-States, >50K
+51, Private, 160724, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 99, South, <=50K
+25, Private, 89625, HS-grad, 9, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K
+62, ?, 266037, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 126730, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+48, Federal-gov, 96854, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+32, Private, 186788, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 28996, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K
+30, Self-emp-not-inc, 347166, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+45, State-gov, 110311, Masters, 14, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+27, Private, 310850, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K
+41, Private, 220694, Bachelors, 13, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 37, United-States, <=50K
+61, Private, 149405, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+70, Self-emp-inc, 131699, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 55, United-States, <=50K
+55, Private, 49996, 11th, 7, Never-married, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+35, Private, 187112, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+36, Private, 180859, Assoc-voc, 11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 38, United-States, <=50K
+29, Private, 185647, Some-college, 10, Never-married, Tech-support, Own-child, White, Male, 0, 0, 60, United-States, <=50K
+30, Private, 316606, Bachelors, 13, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K
+45, Private, 274657, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, ?, <=50K
+39, Federal-gov, 193583, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 5455, 0, 60, United-States, <=50K
+18, Private, 338836, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+28, Private, 216814, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+27, Private, 106935, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K
+38, Private, 223433, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 174789, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 135603, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K
+25, ?, 344719, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 4, United-States, <=50K
+38, Private, 372484, 11th, 7, Never-married, Other-service, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+23, Private, 181820, Some-college, 10, Never-married, Farming-fishing, Unmarried, White, Male, 0, 0, 45, United-States, <=50K
+40, Private, 235371, Assoc-voc, 11, Divorced, Prof-specialty, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+36, Self-emp-inc, 216711, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 50, ?, >50K
+20, Private, 299399, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+41, Private, 202508, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, <=50K
+44, Private, 172025, Some-college, 10, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 38, United-States, <=50K
+49, Self-emp-inc, 246891, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+22, Private, 450920, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+26, Private, 53598, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+47, Private, 103757, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+48, Private, 76017, HS-grad, 9, Widowed, Other-service, Unmarried, White, Female, 0, 0, 25, United-States, <=50K
+28, Self-emp-inc, 80158, HS-grad, 9, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+37, Federal-gov, 90881, Some-college, 10, Separated, Exec-managerial, Not-in-family, White, Male, 8614, 0, 55, United-States, >50K
+44, Private, 427952, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+20, ?, 230955, 12th, 8, Never-married, ?, Not-in-family, Black, Female, 0, 0, 35, United-States, <=50K
+53, Private, 177916, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 7298, 0, 40, United-States, >50K
+36, Private, 342642, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 15, United-States, <=50K
+77, Private, 253642, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male, 0, 0, 30, United-States, <=50K
+21, Private, 219086, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+24, Private, 162593, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K
+30, Private, 87561, Assoc-acdm, 12, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+51, Local-gov, 142411, Assoc-voc, 11, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 50, United-States, <=50K
+22, Private, 154422, Some-college, 10, Divorced, Sales, Own-child, Asian-Pac-Islander, Female, 0, 0, 30, Philippines, <=50K
+23, Private, 169104, Some-college, 10, Never-married, Sales, Own-child, Asian-Pac-Islander, Male, 0, 0, 25, United-States, <=50K
+47, Private, 193047, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 50, United-States, >50K
+17, Private, 151141, 12th, 8, Never-married, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+48, Private, 267912, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 50, Mexico, >50K
+43, Private, 137126, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+34, Private, 152453, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Guatemala, <=50K
+19, Private, 357059, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+42, State-gov, 202011, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+23, Private, 98283, Bachelors, 13, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K
+61, Self-emp-not-inc, 176965, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+63, Private, 187919, 11th, 7, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 30, United-States, <=50K
+65, Private, 274916, HS-grad, 9, Widowed, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+37, Private, 105813, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 7298, 0, 40, United-States, >50K
+41, Local-gov, 193524, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K
+35, Private, 152734, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 40, ?, <=50K
+21, Private, 263641, HS-grad, 9, Divorced, Sales, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+48, Local-gov, 102076, Bachelors, 13, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 35, United-States, <=50K
+51, State-gov, 155594, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 1887, 40, United-States, >50K
+43, Private, 33331, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K
+22, State-gov, 156773, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 15, ?, <=50K
+56, Self-emp-not-inc, 115439, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K
+47, Private, 181652, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+26, Private, 120268, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 24, United-States, <=50K
+39, Private, 196308, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 24, United-States, <=50K
+45, Self-emp-not-inc, 40690, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 75, United-States, <=50K
+49, Private, 228583, HS-grad, 9, Divorced, Other-service, Unmarried, White, Male, 0, 0, 40, Columbia, <=50K
+23, Private, 695136, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+69, Private, 209236, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 36, United-States, <=50K
+41, Federal-gov, 214838, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K
+40, Self-emp-not-inc, 188436, HS-grad, 9, Separated, Exec-managerial, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 177625, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+52, Private, 124591, HS-grad, 9, Never-married, Handlers-cleaners, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 230856, Some-college, 10, Never-married, Prof-specialty, Not-in-family, Black, Female, 3325, 0, 50, United-States, <=50K
+50, Federal-gov, 221532, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+21, Private, 232577, Assoc-voc, 11, Never-married, Tech-support, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+48, Private, 168216, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+27, Private, 214702, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 42, United-States, >50K
+63, Private, 237620, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 30, United-States, <=50K
+47, State-gov, 54887, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+37, Self-emp-not-inc, 164526, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 14084, 0, 45, United-States, >50K
+28, Private, 224506, Some-college, 10, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 40, ?, <=50K
+58, Private, 183870, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+41, Private, 208330, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 51, United-States, <=50K
+67, Self-emp-inc, 168370, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+62, Self-emp-not-inc, 320376, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 48, United-States, <=50K
+28, Private, 192384, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K
+26, Private, 167350, 12th, 8, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+46, Self-emp-not-inc, 103538, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 65, United-States, >50K
+29, Private, 58522, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+39, Private, 191342, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, >50K
+25, Private, 193820, Masters, 14, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+20, Private, 258490, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+21, Private, 56520, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 102476, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+44, Self-emp-inc, 311357, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+37, Private, 166497, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 38, United-States, <=50K
+50, Private, 160724, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 7298, 0, 40, Philippines, >50K
+29, Private, 338270, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+18, Private, 282394, Some-college, 10, Never-married, Sales, Own-child, Black, Female, 0, 0, 21, United-States, <=50K
+32, Private, 383269, Bachelors, 13, Never-married, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+58, Private, 119386, Assoc-voc, 11, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K
+50, Private, 196975, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+29, Private, 334221, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 18, United-States, <=50K
+58, Private, 27385, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K
+29, State-gov, 133846, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+36, Private, 361888, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, >50K
+21, Private, 230429, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+49, Private, 328776, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+60, Private, 243829, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+39, Private, 306646, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 3103, 0, 50, United-States, >50K
+50, Private, 138179, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1902, 40, United-States, >50K
+30, Private, 280069, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K
+55, Private, 305759, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, ?, <=50K
+64, Local-gov, 164876, HS-grad, 9, Divorced, Transport-moving, Unmarried, White, Male, 0, 0, 20, United-States, <=50K
+29, Self-emp-inc, 138597, Assoc-acdm, 12, Never-married, Prof-specialty, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K
+40, Private, 111483, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 40, United-States, >50K
+42, Private, 144778, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+55, Private, 171015, HS-grad, 9, Widowed, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+43, Private, 112494, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+28, Private, 408473, 12th, 8, Never-married, Sales, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+46, State-gov, 27802, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 38, United-States, >50K
+34, Private, 236318, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+47, Private, 121836, Masters, 14, Married-civ-spouse, Adm-clerical, Wife, White, Female, 7688, 0, 38, United-States, >50K
+43, Self-emp-not-inc, 315971, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+24, Private, 698418, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 25, United-States, <=50K
+21, Private, 329530, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+65, Private, 194456, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, England, >50K
+20, Private, 282579, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+31, State-gov, 26401, Masters, 14, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K
+38, State-gov, 364958, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 3464, 0, 40, United-States, <=50K
+22, Private, 83998, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 94364, Some-college, 10, Never-married, Prof-specialty, Not-in-family, Other, Female, 0, 0, 20, United-States, <=50K
+44, Private, 174189, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K
+44, Local-gov, 101967, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, <=50K
+41, Private, 146908, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K
+38, Private, 126675, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 2205, 40, United-States, <=50K
+21, Private, 31606, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, Germany, <=50K
+24, Private, 132327, Some-college, 10, Married-spouse-absent, Sales, Unmarried, Other, Female, 0, 0, 30, Ecuador, <=50K
+24, Private, 112459, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+28, Private, 48894, HS-grad, 9, Married-civ-spouse, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+39, Private, 181943, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+48, Private, 247685, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 3325, 0, 40, United-States, <=50K
+24, Local-gov, 195808, HS-grad, 9, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+50, Private, 172052, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 35, South, >50K
+50, Local-gov, 50178, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 4064, 0, 55, United-States, <=50K
+68, Private, 351711, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+31, State-gov, 190305, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K
+22, Private, 464103, 1st-4th, 2, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Guatemala, <=50K
+18, ?, 36348, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 48, United-States, <=50K
+25, Private, 120238, HS-grad, 9, Married-spouse-absent, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, Poland, <=50K
+28, Private, 354095, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+17, Local-gov, 308901, 11th, 7, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+24, State-gov, 208826, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 99, England, <=50K
+20, Private, 369677, 10th, 6, Separated, Sales, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K
+45, Federal-gov, 98524, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+44, Private, 239723, Some-college, 10, Married-spouse-absent, Craft-repair, Unmarried, White, Female, 1506, 0, 45, United-States, <=50K
+57, Private, 231232, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 236396, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1902, 55, United-States, >50K
+24, ?, 119156, Bachelors, 13, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 320451, Some-college, 10, Never-married, Protective-serv, Own-child, Asian-Pac-Islander, Male, 0, 0, 24, India, <=50K
+41, Private, 38397, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+51, Self-emp-inc, 189183, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+46, Local-gov, 199281, Bachelors, 13, Separated, Prof-specialty, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+52, Private, 286342, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K
+50, Private, 152810, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+26, Self-emp-inc, 176981, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 50, United-States, <=50K
+17, Private, 117549, 10th, 6, Never-married, Sales, Other-relative, Black, Female, 0, 0, 12, United-States, <=50K
+64, Private, 254797, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+51, Private, 133336, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K
+28, Self-emp-not-inc, 182826, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, <=50K
+51, Private, 136224, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+39, Self-emp-not-inc, 134475, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 1762, 40, United-States, <=50K
+48, Private, 272778, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 32, United-States, <=50K
+44, Private, 279183, Some-college, 10, Married-civ-spouse, Other-service, Own-child, White, Female, 0, 0, 40, United-States, >50K
+47, Private, 110243, 11th, 7, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+52, Private, 202071, HS-grad, 9, Widowed, Craft-repair, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+58, Private, 197642, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 39, United-States, <=50K
+19, Private, 125591, 11th, 7, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+40, Private, 197462, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K
+23, Private, 238831, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 182177, Bachelors, 13, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Yugoslavia, <=50K
+40, Local-gov, 240504, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+48, Self-emp-inc, 125892, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 38, United-States, >50K
+46, Private, 154430, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, >50K
+32, Private, 207685, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Wife, Black, Female, 3908, 0, 40, United-States, <=50K
+50, Private, 222020, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+18, Private, 243240, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 37, United-States, <=50K
+26, Private, 158734, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+36, Private, 257691, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+26, Private, 144483, Assoc-voc, 11, Divorced, Sales, Own-child, White, Female, 594, 0, 35, United-States, <=50K
+19, Private, 209826, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+53, Private, 30244, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 40, United-States, >50K
+54, Private, 133050, Some-college, 10, Never-married, Sales, Not-in-family, Black, Male, 0, 0, 41, United-States, <=50K
+29, Private, 138332, Some-college, 10, Married-civ-spouse, Adm-clerical, Own-child, White, Female, 0, 0, 6, United-States, <=50K
+81, Private, 201398, Masters, 14, Widowed, Prof-specialty, Unmarried, White, Male, 0, 0, 60, ?, <=50K
+37, Private, 526968, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 38, United-States, >50K
+40, Private, 79036, Assoc-voc, 11, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 50, United-States, >50K
+36, Private, 240323, Some-college, 10, Widowed, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+18, Private, 270544, 12th, 8, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+44, State-gov, 199551, 11th, 7, Separated, Tech-support, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+36, Private, 231052, HS-grad, 9, Separated, Other-service, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K
+69, State-gov, 203072, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+17, Private, 126771, 12th, 8, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 7, United-States, <=50K
+38, Private, 31848, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+27, Private, 328981, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K
+52, Private, 159670, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 450695, Assoc-acdm, 12, Never-married, Sales, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+57, Private, 182028, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K
+19, Private, 349620, 10th, 6, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+38, Private, 161066, HS-grad, 9, Divorced, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 50, United-States, <=50K
+46, Private, 213611, 7th-8th, 4, Married-spouse-absent, Priv-house-serv, Unmarried, White, Female, 0, 1594, 24, Guatemala, <=50K
+21, Private, 548303, HS-grad, 9, Married-civ-spouse, Prof-specialty, Own-child, White, Male, 0, 0, 40, Mexico, >50K
+29, Private, 150861, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, Japan, <=50K
+33, ?, 335625, Some-college, 10, Divorced, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+26, Private, 133766, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 70, United-States, <=50K
+28, Private, 200511, HS-grad, 9, Separated, Farming-fishing, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K
+26, Private, 50103, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, <=50K
+37, ?, 148266, Prof-school, 15, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 6, Mexico, <=50K
+49, Private, 177211, Bachelors, 13, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 132686, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, <=50K
+57, Federal-gov, 21626, Some-college, 10, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+60, Private, 52900, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+20, ?, 150084, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 25, United-States, <=50K
+38, Private, 248886, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 42, United-States, <=50K
+51, Self-emp-not-inc, 118259, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 3137, 0, 60, United-States, <=50K
+60, Private, 145493, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+37, Private, 219546, Bachelors, 13, Married-civ-spouse, Exec-managerial, Other-relative, White, Male, 3411, 0, 47, United-States, <=50K
+44, Federal-gov, 399155, HS-grad, 9, Never-married, Craft-repair, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+19, Self-emp-not-inc, 227310, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+59, Private, 333270, Masters, 14, Married-civ-spouse, Craft-repair, Wife, Asian-Pac-Islander, Female, 0, 0, 35, Philippines, <=50K
+50, Private, 231495, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+35, Federal-gov, 133935, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+46, Federal-gov, 55237, Some-college, 10, Divorced, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+18, Private, 183034, Some-college, 10, Never-married, Sales, Own-child, Black, Male, 0, 0, 35, United-States, <=50K
+32, Private, 245487, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, Mexico, <=50K
+32, Private, 185480, Assoc-voc, 11, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+39, Private, 114251, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+25, Private, 181814, HS-grad, 9, Never-married, Craft-repair, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+30, Private, 340917, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 60, United-States, >50K
+37, Private, 241998, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 1977, 40, United-States, >50K
+38, Self-emp-inc, 125324, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 80, United-States, >50K
+36, Private, 34744, Assoc-acdm, 12, Divorced, Other-service, Unmarried, White, Female, 0, 0, 37, United-States, <=50K
+56, Private, 131608, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+35, Federal-gov, 226916, Bachelors, 13, Widowed, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+56, Private, 124137, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 41, United-States, <=50K
+17, Private, 96282, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 14, United-States, <=50K
+46, Private, 337050, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 45, United-States, >50K
+56, Private, 229335, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+61, State-gov, 199495, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 111675, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 43, United-States, <=50K
+27, Private, 139209, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+50, Self-emp-not-inc, 32372, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 30, United-States, <=50K
+33, Self-emp-not-inc, 203784, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 62, United-States, <=50K
+33, Private, 164190, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 40, United-States, >50K
+38, Private, 64875, Some-college, 10, Never-married, Farming-fishing, Unmarried, White, Male, 0, 0, 60, United-States, <=50K
+51, Private, 41806, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 208725, Assoc-acdm, 12, Never-married, Sales, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K
+49, Local-gov, 79019, Masters, 14, Widowed, Prof-specialty, Unmarried, White, Female, 0, 0, 16, United-States, <=50K
+26, Private, 136951, HS-grad, 9, Separated, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+42, Private, 203554, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K
+37, Private, 252947, Bachelors, 13, Never-married, Machine-op-inspct, Not-in-family, Black, Male, 0, 1719, 32, United-States, <=50K
+38, Private, 170861, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+48, Private, 199590, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Mexico, >50K
+41, Private, 529216, Bachelors, 13, Divorced, Tech-support, Unmarried, Black, Male, 7430, 0, 45, ?, >50K
+33, Private, 195576, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 4386, 0, 60, United-States, <=50K
+30, Private, 182177, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, Ireland, <=50K
+25, State-gov, 183678, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+50, Private, 209320, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+54, Self-emp-inc, 206862, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 36, United-States, >50K
+37, Private, 168941, 11th, 7, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+59, Self-emp-not-inc, 201263, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 55, United-States, >50K
+17, Private, 75333, 10th, 6, Never-married, Sales, Own-child, Black, Female, 0, 0, 24, United-States, <=50K
+65, ?, 299494, 11th, 7, Married-civ-spouse, ?, Husband, White, Male, 1797, 0, 40, United-States, <=50K
+56, Self-emp-not-inc, 163212, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 99999, 0, 40, United-States, >50K
+57, Private, 139290, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K
+33, Private, 400416, 10th, 6, Never-married, Other-service, Own-child, Black, Male, 0, 0, 20, United-States, <=50K
+41, Self-emp-not-inc, 223763, Masters, 14, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 65, United-States, <=50K
+45, Private, 77927, Bachelors, 13, Widowed, Other-service, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K
+50, Private, 175804, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 48, United-States, <=50K
+18, Private, 91525, HS-grad, 9, Never-married, Sales, Other-relative, White, Male, 0, 0, 25, United-States, <=50K
+19, Private, 279968, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+26, Private, 77698, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K
+61, ?, 198686, Assoc-acdm, 12, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 2, United-States, >50K
+67, ?, 190340, 11th, 7, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+41, Private, 113491, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+29, Private, 202878, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+27, Private, 108431, Some-college, 10, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+35, Private, 194490, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 38, United-States, <=50K
+37, Private, 48093, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 90, United-States, >50K
+22, Private, 136824, 11th, 7, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 143280, 10th, 6, Never-married, Priv-house-serv, Own-child, White, Female, 0, 0, 24, United-States, <=50K
+26, Private, 150062, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K
+27, Local-gov, 298510, HS-grad, 9, Divorced, Protective-serv, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 177147, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 6849, 0, 65, United-States, <=50K
+51, Private, 115025, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+45, Private, 350440, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, >50K
+60, Private, 83850, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 62669, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K
+24, Private, 229773, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+40, Local-gov, 196234, HS-grad, 9, Divorced, Craft-repair, Own-child, White, Female, 0, 0, 40, Puerto-Rico, <=50K
+69, ?, 163595, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+44, Private, 157249, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 1977, 50, United-States, >50K
+65, Private, 80174, HS-grad, 9, Divorced, Exec-managerial, Other-relative, White, Female, 1848, 0, 50, United-States, <=50K
+52, Self-emp-inc, 49069, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K
+38, Private, 122952, HS-grad, 9, Separated, Craft-repair, Unmarried, White, Female, 0, 0, 35, United-States, <=50K
+18, Private, 123856, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 49, United-States, <=50K
+24, Private, 216181, Assoc-voc, 11, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+52, Private, 180062, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K
+21, Private, 188535, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 44, United-States, <=50K
+67, Self-emp-not-inc, 106143, Doctorate, 16, Married-civ-spouse, Sales, Husband, White, Male, 20051, 0, 40, United-States, >50K
+64, Self-emp-not-inc, 170421, Some-college, 10, Widowed, Craft-repair, Not-in-family, White, Female, 0, 0, 8, United-States, <=50K
+25, Private, 283087, Some-college, 10, Never-married, Exec-managerial, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+34, Federal-gov, 341051, Masters, 14, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, >50K
+39, Self-emp-not-inc, 34378, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K
+26, Private, 380674, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 52, United-States, <=50K
+19, Private, 304469, 10th, 6, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 25, United-States, <=50K
+35, Private, 99146, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+26, Private, 205109, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+38, Private, 99156, HS-grad, 9, Separated, Other-service, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+45, Private, 97842, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 65, United-States, <=50K
+18, Private, 100875, 11th, 7, Never-married, Other-service, Unmarried, White, Female, 0, 0, 28, United-States, <=50K
+51, Private, 200576, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 63, United-States, <=50K
+36, Private, 355053, HS-grad, 9, Separated, Other-service, Unmarried, Black, Female, 0, 0, 28, United-States, <=50K
+18, Private, 118376, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 16, ?, <=50K
+37, Local-gov, 117760, Assoc-voc, 11, Never-married, Protective-serv, Not-in-family, White, Male, 4650, 0, 40, United-States, <=50K
+37, Private, 117567, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K
+39, Federal-gov, 189632, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K
+21, Private, 170108, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+46, State-gov, 27243, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 45, United-States, >50K
+33, Private, 192663, HS-grad, 9, Separated, Sales, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+23, Private, 526164, Bachelors, 13, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+52, Self-emp-not-inc, 146579, HS-grad, 9, Divorced, Sales, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K
+28, Private, 60288, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+23, State-gov, 241951, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+48, Self-emp-inc, 213140, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+17, Private, 218124, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+22, Self-emp-not-inc, 279802, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 3, United-States, <=50K
+26, Private, 153078, HS-grad, 9, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Male, 0, 0, 80, ?, >50K
+40, Private, 167919, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+90, Private, 250832, 10th, 6, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 193158, HS-grad, 9, Divorced, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+44, Private, 172032, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 39484, Bachelors, 13, Married-civ-spouse, Other-service, Husband, White, Male, 7298, 0, 42, United-States, >50K
+45, Private, 84298, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 50, United-States, >50K
+43, Private, 269015, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, Germany, >50K
+17, ?, 262196, 10th, 6, Never-married, ?, Own-child, White, Male, 0, 0, 8, United-States, <=50K
+49, Federal-gov, 125892, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+27, Private, 134890, Bachelors, 13, Never-married, Tech-support, Own-child, White, Male, 0, 0, 50, United-States, <=50K
+60, Self-emp-not-inc, 261119, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+33, Private, 119409, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, Other, Female, 0, 0, 40, Columbia, <=50K
+53, Self-emp-not-inc, 118793, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K
+19, Private, 184207, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+28, Self-emp-not-inc, 191027, HS-grad, 9, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 207782, Assoc-acdm, 12, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+48, Self-emp-not-inc, 209146, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K
+76, ?, 79445, 10th, 6, Married-civ-spouse, ?, Husband, White, Male, 1173, 0, 40, United-States, <=50K
+19, Private, 187724, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+28, Private, 66777, Assoc-voc, 11, Married-civ-spouse, Other-service, Other-relative, White, Female, 3137, 0, 40, United-States, <=50K
+58, Private, 158002, Some-college, 10, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+19, Self-emp-not-inc, 305834, Some-college, 10, Never-married, Craft-repair, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+37, ?, 122265, HS-grad, 9, Divorced, ?, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 42, ?, <=50K
+22, Private, 211798, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+52, Self-emp-not-inc, 123011, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+31, Private, 36302, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, <=50K
+50, Self-emp-not-inc, 176867, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 3781, 0, 40, United-States, <=50K
+62, Private, 169204, HS-grad, 9, Widowed, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 38232, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+64, State-gov, 277657, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K
+38, Private, 32271, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+44, Private, 116825, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 80, United-States, >50K
+28, Self-emp-not-inc, 226198, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+19, Private, 28145, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 52, United-States, <=50K
+39, Private, 140477, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 10, United-States, <=50K
+50, Private, 165050, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+39, Self-emp-inc, 202937, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K
+36, Private, 316298, Bachelors, 13, Never-married, Tech-support, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+39, Private, 203070, Assoc-voc, 11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 49, United-States, <=50K
+51, Self-emp-inc, 103995, Assoc-acdm, 12, Never-married, Sales, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K
+28, Private, 176137, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 32, United-States, <=50K
+57, Self-emp-not-inc, 103948, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 30, United-States, >50K
+40, Local-gov, 39581, Prof-school, 15, Separated, Prof-specialty, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+27, Private, 506436, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, Peru, <=50K
+32, Private, 226975, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 1876, 60, United-States, <=50K
+49, State-gov, 154493, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 44, United-States, <=50K
+34, Self-emp-not-inc, 137223, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+24, Private, 102323, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+54, Private, 257765, 7th-8th, 4, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, Guatemala, <=50K
+52, Private, 42924, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+43, Private, 167599, 11th, 7, Married-civ-spouse, Handlers-cleaners, Wife, White, Female, 0, 0, 25, United-States, <=50K
+84, ?, 368925, 5th-6th, 3, Widowed, ?, Not-in-family, White, Male, 0, 0, 15, United-States, <=50K
+79, ?, 100881, Assoc-acdm, 12, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 2, United-States, >50K
+35, Private, 52738, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 46, United-States, <=50K
+56, Private, 98418, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+30, Private, 381153, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+54, Private, 103700, HS-grad, 9, Widowed, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+35, Private, 298635, Bachelors, 13, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 50, United-States, <=50K
+32, Private, 127895, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+44, Self-emp-inc, 212760, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K
+32, Private, 281384, HS-grad, 9, Married-AF-spouse, Other-service, Other-relative, White, Female, 0, 0, 10, United-States, <=50K
+60, Private, 181200, 12th, 8, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 257364, Some-college, 10, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+50, Private, 283281, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+58, Private, 214502, 9th, 5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 50, United-States, >50K
+41, Private, 69333, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K
+28, Private, 190060, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+53, Private, 95864, HS-grad, 9, Never-married, Adm-clerical, Other-relative, White, Male, 0, 0, 35, United-States, <=50K
+71, ?, 144872, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 6514, 0, 40, United-States, >50K
+17, ?, 275778, 9th, 5, Never-married, ?, Own-child, White, Female, 0, 0, 25, Mexico, <=50K
+45, Private, 27332, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+23, Private, 24395, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+25, Private, 330695, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K
+40, Self-emp-not-inc, 171615, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 35, United-States, >50K
+28, Private, 116372, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K
+27, Private, 38599, 12th, 8, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+19, Local-gov, 202184, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 15, United-States, <=50K
+24, Private, 315303, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 25, United-States, <=50K
+38, Private, 103456, Bachelors, 13, Separated, Prof-specialty, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+24, State-gov, 163480, Masters, 14, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+18, Private, 317425, 11th, 7, Never-married, Other-service, Own-child, Black, Male, 0, 0, 7, United-States, <=50K
+58, Private, 216941, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+35, Private, 116541, Masters, 14, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 44, United-States, >50K
+43, Private, 186396, 9th, 5, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+45, Private, 273194, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 3137, 0, 35, United-States, <=50K
+24, Private, 385540, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+63, Private, 201631, 9th, 5, Married-civ-spouse, Farming-fishing, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+40, Private, 439919, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+21, Private, 182117, Bachelors, 13, Never-married, Other-service, Other-relative, White, Male, 0, 0, 20, United-States, <=50K
+20, State-gov, 334113, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+42, Private, 184837, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 7298, 0, 40, United-States, >50K
+49, ?, 228372, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 20, United-States, >50K
+47, Federal-gov, 211123, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+48, Self-emp-inc, 38819, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 36, United-States, <=50K
+61, Private, 162391, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1651, 40, United-States, <=50K
+23, ?, 302836, Assoc-acdm, 12, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, El-Salvador, <=50K
+35, State-gov, 89040, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+46, Private, 264210, Some-college, 10, Married-civ-spouse, Farming-fishing, Wife, White, Female, 0, 0, 20, United-States, <=50K
+18, Private, 87157, 12th, 8, Never-married, Other-service, Own-child, White, Male, 0, 0, 25, United-States, <=50K
+28, Self-emp-not-inc, 398918, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, >50K
+62, ?, 123612, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 4, United-States, <=50K
+20, Private, 155818, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+28, Private, 243660, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+57, Private, 134195, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+56, Private, 238638, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 159929, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+19, Private, 198668, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 215504, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 158002, Some-college, 10, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 55, Ecuador, <=50K
+53, Local-gov, 35305, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 57, United-States, <=50K
+25, Private, 195994, 1st-4th, 2, Never-married, Priv-house-serv, Not-in-family, White, Female, 0, 0, 40, Guatemala, <=50K
+44, State-gov, 321824, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 38, United-States, <=50K
+22, Private, 180449, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 28, United-States, <=50K
+40, Private, 201764, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 250038, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, ?, <=50K
+30, Self-emp-not-inc, 226535, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+51, Private, 136121, Assoc-voc, 11, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 38, United-States, <=50K
+17, Private, 47199, 11th, 7, Never-married, Priv-house-serv, Own-child, White, Female, 0, 0, 24, United-States, <=50K
+46, Local-gov, 215895, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K
+50, State-gov, 24647, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+34, Private, 734193, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+42, ?, 321086, Masters, 14, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 50, United-States, <=50K
+41, Federal-gov, 192589, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 326283, Bachelors, 13, Never-married, Other-service, Unmarried, Other, Male, 0, 0, 40, United-States, <=50K
+32, Private, 207284, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+47, Private, 109089, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 70, United-States, <=50K
+50, Private, 274528, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+77, Private, 142646, 7th-8th, 4, Widowed, Priv-house-serv, Unmarried, White, Female, 0, 0, 23, United-States, <=50K
+33, Private, 180859, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+47, Self-emp-inc, 188610, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, <=50K
+64, Private, 169604, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 260560, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K
+34, Local-gov, 188245, HS-grad, 9, Never-married, Prof-specialty, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K
+67, Local-gov, 103315, Masters, 14, Never-married, Exec-managerial, Other-relative, White, Female, 15831, 0, 72, United-States, >50K
+37, Local-gov, 52465, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 737315, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+22, ?, 195143, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 29, United-States, <=50K
+50, Self-emp-not-inc, 219420, Doctorate, 16, Divorced, Sales, Not-in-family, White, Male, 0, 0, 64, United-States, <=50K
+60, Private, 198170, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+46, Local-gov, 183168, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 43, United-States, <=50K
+44, Private, 196545, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 40, United-States, >50K
+43, Private, 168412, HS-grad, 9, Married-civ-spouse, Sales, Other-relative, White, Female, 0, 0, 44, Poland, <=50K
+48, Private, 174386, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, El-Salvador, >50K
+36, Private, 544686, HS-grad, 9, Never-married, Adm-clerical, Other-relative, White, Female, 2907, 0, 40, Nicaragua, <=50K
+48, Private, 95661, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 43, United-States, <=50K
+37, Private, 468713, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+51, Private, 169112, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+52, Private, 74024, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K
+27, Private, 110622, 5th-6th, 3, Never-married, Sales, Own-child, Asian-Pac-Islander, Female, 0, 0, 20, Vietnam, <=50K
+43, Local-gov, 33331, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+23, Private, 181557, HS-grad, 9, Never-married, Other-service, Own-child, Black, Male, 0, 0, 25, United-States, <=50K
+66, Private, 142624, Assoc-acdm, 12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 5556, 0, 40, Yugoslavia, >50K
+37, Self-emp-not-inc, 192251, 10th, 6, Married-civ-spouse, Other-service, Wife, White, Female, 2635, 0, 40, United-States, <=50K
+35, Private, 146091, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+42, Local-gov, 174575, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 5178, 0, 40, United-States, >50K
+49, Private, 200949, 10th, 6, Never-married, Other-service, Unmarried, White, Female, 0, 0, 38, Peru, <=50K
+51, Local-gov, 201560, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K
+71, Federal-gov, 149386, HS-grad, 9, Widowed, Exec-managerial, Not-in-family, White, Male, 0, 0, 9, United-States, <=50K
+50, Local-gov, 168672, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1902, 40, United-States, >50K
+63, Private, 38352, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+41, State-gov, 180272, Masters, 14, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+24, State-gov, 275421, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+41, Local-gov, 173051, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 45, United-States, <=50K
+33, Local-gov, 167474, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+42, Local-gov, 267138, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+23, Private, 135138, Bachelors, 13, Never-married, Sales, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K
+49, Private, 218357, Assoc-voc, 11, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K
+28, Self-emp-not-inc, 107236, 12th, 8, Married-civ-spouse, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 138416, 5th-6th, 3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 56, Mexico, <=50K
+28, Private, 154863, Bachelors, 13, Never-married, Adm-clerical, Own-child, Black, Male, 0, 0, 35, United-States, <=50K
+37, Private, 194004, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 25, United-States, <=50K
+19, Private, 339123, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+51, Local-gov, 548361, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 26, United-States, <=50K
+25, Private, 101812, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 41, United-States, <=50K
+49, Self-emp-inc, 127111, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K
+47, Private, 171807, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 45, United-States, <=50K
+48, Local-gov, 40666, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+41, Local-gov, 340682, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+32, Private, 175052, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+26, ?, 321629, HS-grad, 9, Never-married, ?, Unmarried, White, Female, 0, 0, 16, United-States, <=50K
+46, Private, 154405, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+17, Private, 108402, 10th, 6, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+34, Private, 346275, 11th, 7, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 43, United-States, <=50K
+44, Private, 42476, HS-grad, 9, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 30, United-States, <=50K
+23, Private, 161708, Assoc-acdm, 12, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+35, Private, 70447, Some-college, 10, Never-married, Prof-specialty, Unmarried, Asian-Pac-Islander, Male, 4650, 0, 20, United-States, <=50K
+30, Private, 189759, Bachelors, 13, Never-married, Transport-moving, Not-in-family, White, Male, 4865, 0, 40, United-States, <=50K
+65, ?, 137354, Some-college, 10, Married-civ-spouse, ?, Husband, Asian-Pac-Islander, Male, 0, 0, 20, United-States, <=50K
+34, Private, 250724, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, Jamaica, <=50K
+34, Federal-gov, 149368, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+39, Private, 154641, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 38309, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 2407, 0, 40, United-States, <=50K
+53, Local-gov, 202733, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 70, United-States, >50K
+34, Private, 56150, 11th, 7, Never-married, Transport-moving, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 260254, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+53, Private, 108083, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 45, United-States, <=50K
+54, Self-emp-not-inc, 71344, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, >50K
+32, Private, 174215, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+39, State-gov, 114366, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+39, Private, 158962, Some-college, 10, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+29, Private, 179498, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, Germany, <=50K
+29, Private, 31935, HS-grad, 9, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+43, Private, 149909, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 42, United-States, >50K
+20, ?, 58740, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 15, United-States, <=50K
+39, Private, 216552, Masters, 14, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+45, Private, 255348, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+36, Private, 176050, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+71, ?, 125101, Assoc-voc, 11, Widowed, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+62, ?, 197286, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+43, Local-gov, 337469, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 594, 0, 20, Mexico, <=50K
+31, Private, 159737, HS-grad, 9, Never-married, Sales, Unmarried, Black, Female, 0, 0, 58, United-States, <=50K
+39, Private, 316211, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K
+32, Private, 127610, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1902, 32, United-States, >50K
+45, Local-gov, 556652, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, >50K
+19, Private, 265576, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 50, United-States, <=50K
+43, Private, 347653, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 48, United-States, >50K
+32, Private, 62374, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+43, Self-emp-not-inc, 170230, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K
+34, Private, 203051, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 27, United-States, <=50K
+66, Self-emp-inc, 115880, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 167735, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1887, 40, United-States, >50K
+46, Self-emp-inc, 181413, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K
+23, Private, 185554, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+41, Private, 350387, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+63, Private, 225102, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, ?, <=50K
+55, Private, 105582, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 3103, 0, 40, United-States, >50K
+35, Self-emp-not-inc, 350247, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+28, Private, 150025, 9th, 5, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, ?, >50K
+37, Private, 107737, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K
+63, ?, 334741, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 20, United-States, <=50K
+43, Private, 115562, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 42, United-States, >50K
+30, Self-emp-not-inc, 131584, Assoc-voc, 11, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 60, United-States, <=50K
+36, Local-gov, 95855, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 60, United-States, >50K
+54, Private, 391016, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+36, Federal-gov, 51089, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, >50K
+78, Self-emp-inc, 188044, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2392, 40, United-States, >50K
+77, Private, 117898, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+28, Private, 70240, HS-grad, 9, Married-spouse-absent, Other-service, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K
+39, Self-emp-not-inc, 187693, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 72, United-States, >50K
+37, Private, 341672, Bachelors, 13, Separated, Tech-support, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K
+34, Private, 208043, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 45, United-States, >50K
+22, Local-gov, 289982, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+54, Private, 76344, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+21, Private, 200973, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+36, Private, 111377, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+62, Self-emp-not-inc, 136684, HS-grad, 9, Widowed, Adm-clerical, Other-relative, White, Female, 0, 0, 30, United-States, <=50K
+40, Private, 176716, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+47, Self-emp-not-inc, 166894, Some-college, 10, Divorced, Prof-specialty, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+38, Private, 243872, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 70, United-States, >50K
+28, Private, 155621, 5th-6th, 3, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Columbia, <=50K
+46, Private, 102597, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+22, Private, 60331, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 35, United-States, <=50K
+37, Private, 75024, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 25, Canada, <=50K
+69, Private, 174474, 10th, 6, Separated, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 28, Peru, <=50K
+43, Private, 145441, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+53, Private, 83434, Bachelors, 13, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 21, Japan, >50K
+20, Private, 691830, HS-grad, 9, Never-married, Sales, Own-child, Black, Female, 0, 0, 35, United-States, <=50K
+22, Private, 189203, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+48, Private, 115784, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 44, United-States, <=50K
+40, Federal-gov, 280167, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+68, ?, 407338, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 20, United-States, <=50K
+39, Private, 52978, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 1721, 55, United-States, <=50K
+57, Private, 169329, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, Black, Male, 0, 1887, 40, Trinadad&Tobago, >50K
+23, Private, 315065, 10th, 6, Never-married, Other-service, Unmarried, White, Male, 0, 0, 60, Mexico, <=50K
+25, Local-gov, 167835, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 38, United-States, >50K
+22, Private, 63105, HS-grad, 9, Never-married, Prof-specialty, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+23, Private, 520775, 12th, 8, Never-married, Priv-house-serv, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+41, Local-gov, 47902, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K
+25, Private, 145434, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K
+58, Private, 56392, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 162312, HS-grad, 9, Divorced, Sales, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 45, Japan, <=50K
+28, Private, 204074, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 48, United-States, <=50K
+19, Private, 99246, 11th, 7, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K
+44, Private, 102085, Some-college, 10, Divorced, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+68, Private, 168794, Preschool, 1, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 10, United-States, <=50K
+33, State-gov, 332379, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+24, Private, 233419, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+44, Self-emp-not-inc, 57233, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K
+38, Private, 192337, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 40, United-States, >50K
+31, Private, 442429, HS-grad, 9, Separated, Craft-repair, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K
+29, Private, 369114, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+65, Private, 261334, 9th, 5, Widowed, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+55, Private, 160303, HS-grad, 9, Widowed, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+49, Private, 50474, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 321577, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+41, Private, 29591, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+33, Self-emp-not-inc, 334744, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K
+22, Self-emp-not-inc, 269474, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+41, Private, 287306, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 40, United-States, >50K
+66, Private, 33619, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 4, United-States, <=50K
+38, Private, 149347, Some-college, 10, Divorced, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+43, Private, 96249, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 42, United-States, >50K
+40, Local-gov, 370502, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+32, Private, 188246, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+30, Private, 167558, HS-grad, 9, Never-married, Sales, Unmarried, White, Female, 0, 0, 35, Mexico, <=50K
+35, Private, 292185, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+41, Private, 101593, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 50, United-States, >50K
+33, Local-gov, 70164, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 60, United-States, <=50K
+36, Private, 269722, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K
+33, Self-emp-not-inc, 175502, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K
+53, Private, 233165, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K
+27, Private, 177351, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+22, Private, 212114, Bachelors, 13, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+26, Private, 288959, HS-grad, 9, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 36, United-States, <=50K
+64, Private, 231619, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 21, United-States, <=50K
+48, Private, 146919, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 45, United-States, <=50K
+23, Private, 388811, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+26, Private, 243560, Some-college, 10, Never-married, Sales, Unmarried, White, Female, 0, 0, 40, ?, <=50K
+35, Self-emp-not-inc, 98360, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+46, Private, 369538, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+65, Self-emp-not-inc, 31740, Some-college, 10, Widowed, Exec-managerial, Unmarried, White, Female, 0, 0, 45, United-States, <=50K
+53, Private, 223660, HS-grad, 9, Widowed, Machine-op-inspct, Not-in-family, White, Male, 6849, 0, 40, United-States, <=50K
+18, Private, 333611, 5th-6th, 3, Never-married, Other-service, Other-relative, White, Male, 0, 0, 54, Mexico, <=50K
+34, Self-emp-not-inc, 108247, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K
+28, Private, 76129, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, Guatemala, <=50K
+37, Private, 91711, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K
+61, ?, 166855, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 10, United-States, <=50K
+59, Private, 182062, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 5013, 0, 40, United-States, <=50K
+32, Private, 252752, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 13550, 0, 60, United-States, >50K
+31, Private, 43953, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 35, United-States, <=50K
+25, Local-gov, 84224, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+81, Private, 100675, 1st-4th, 2, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 15, Poland, <=50K
+47, Private, 155509, HS-grad, 9, Separated, Other-service, Other-relative, Black, Female, 0, 0, 35, United-States, <=50K
+39, Private, 29814, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 241805, Some-college, 10, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 30, United-States, <=50K
+44, Private, 214838, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, >50K
+37, Private, 240810, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+41, Private, 154076, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, >50K
+27, ?, 175552, 5th-6th, 3, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 40, Mexico, <=50K
+55, Private, 170287, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, Poland, >50K
+60, Private, 145995, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+22, Private, 433669, Assoc-acdm, 12, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 36, ?, <=50K
+23, Private, 233626, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K
+19, Private, 607799, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K
+45, Private, 88500, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 44, United-States, >50K
+36, Private, 127809, HS-grad, 9, Separated, Other-service, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K
+46, Private, 243743, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+48, Private, 177211, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+39, Self-emp-not-inc, 231180, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 50, United-States, <=50K
+29, Private, 253856, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 20, United-States, <=50K
+39, Private, 177075, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+26, Private, 152855, HS-grad, 9, Never-married, Exec-managerial, Own-child, Other, Female, 0, 0, 40, Mexico, <=50K
+37, Private, 191137, Assoc-acdm, 12, Divorced, Prof-specialty, Unmarried, White, Male, 0, 0, 25, United-States, <=50K
+49, Private, 255559, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K
+27, Private, 169815, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 221215, 10th, 6, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K
+35, Private, 270059, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 30, United-States, <=50K
+54, ?, 31588, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 2635, 0, 40, United-States, <=50K
+17, Private, 345403, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+18, Private, 194897, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K
+33, Private, 388741, Some-college, 10, Never-married, Adm-clerical, Unmarried, Other, Female, 0, 0, 38, United-States, <=50K
+33, Private, 355856, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 60, United-States, <=50K
+51, Private, 122109, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 35, United-States, <=50K
+49, Private, 75673, HS-grad, 9, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K
+49, Self-emp-inc, 141058, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 2339, 50, United-States, <=50K
+41, Private, 47902, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 35, United-States, >50K
+64, Private, 221343, 1st-4th, 2, Divorced, Priv-house-serv, Not-in-family, White, Female, 0, 0, 12, United-States, <=50K
+40, Private, 255675, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+49, Federal-gov, 203505, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+23, Private, 125106, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+34, Private, 139890, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+38, Private, 76878, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 5178, 0, 40, United-States, >50K
+47, Self-emp-not-inc, 28035, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 86, United-States, <=50K
+30, Private, 43953, HS-grad, 9, Never-married, Adm-clerical, Other-relative, White, Female, 0, 1974, 40, United-States, <=50K
+36, Private, 163237, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+23, Local-gov, 55890, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+47, Self-emp-not-inc, 255934, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 80, United-States, <=50K
+61, Private, 168654, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, Canada, <=50K
+47, Self-emp-not-inc, 39986, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+56, Private, 208451, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+20, Private, 206681, 12th, 8, Never-married, Sales, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K
+33, Private, 117779, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 46, United-States, >50K
+36, Self-emp-not-inc, 129150, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, >50K
+38, ?, 177273, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 35, United-States, <=50K
+34, Local-gov, 226443, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K
+56, Private, 146326, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K
+32, Private, 187901, Assoc-voc, 11, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 23, United-States, <=50K
+26, Private, 97153, Assoc-acdm, 12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 5178, 0, 40, United-States, >50K
+49, Private, 188694, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+71, Private, 187493, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K
+19, Private, 212468, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+20, Private, 84726, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+42, Private, 137907, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 35, United-States, <=50K
+51, Private, 34361, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 20, United-States, >50K
+38, Private, 254114, Some-college, 10, Married-spouse-absent, Prof-specialty, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+38, Private, 170174, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K
+35, Self-emp-not-inc, 190895, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K
+24, Local-gov, 317443, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, Black, Female, 0, 0, 40, United-States, <=50K
+40, Private, 375603, HS-grad, 9, Divorced, Adm-clerical, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K
+21, Private, 203076, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+49, Private, 53893, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+18, ?, 171748, Some-college, 10, Never-married, ?, Own-child, Black, Female, 0, 0, 24, United-States, <=50K
+54, Private, 167770, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 55, United-States, >50K
+52, Private, 204584, Bachelors, 13, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female, 0, 0, 42, United-States, <=50K
+27, Private, 660870, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K
+20, Private, 105686, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+38, ?, 70282, Masters, 14, Married-civ-spouse, ?, Wife, Black, Female, 15024, 0, 2, United-States, >50K
+31, Private, 148607, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 255849, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+19, Federal-gov, 255921, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, England, <=50K
+33, Private, 113326, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+23, Private, 440456, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 105493, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+42, Private, 259757, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Male, 0, 653, 50, United-States, >50K
+37, Local-gov, 89491, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+25, Private, 171818, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+40, Private, 51151, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+33, Self-emp-not-inc, 188957, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+31, Private, 97933, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+32, Self-emp-inc, 195447, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K
+63, ?, 46907, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 8, United-States, >50K
+54, Self-emp-inc, 383365, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 70, United-States, >50K
+32, Self-emp-not-inc, 203408, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 44, United-States, <=50K
+29, Local-gov, 148182, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+26, Local-gov, 211497, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+39, Self-emp-not-inc, 48063, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K
+57, Private, 211804, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 3103, 0, 50, United-States, >50K
+54, Private, 185407, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K
+57, Private, 225927, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+23, Federal-gov, 314525, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+27, Self-emp-not-inc, 208577, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+42, Private, 222884, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 55, United-States, >50K
+31, Private, 209538, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+49, Local-gov, 177114, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K
+50, Private, 173754, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+46, Local-gov, 121370, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 30, United-States, <=50K
+37, Private, 67125, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+26, Private, 67240, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 198346, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+24, Private, 141003, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 25, United-States, <=50K
+24, Self-emp-inc, 60668, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 104256, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 34, United-States, <=50K
+47, Private, 131002, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+33, Self-emp-not-inc, 155151, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 1740, 50, United-States, <=50K
+26, Private, 177720, Assoc-acdm, 12, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 45, United-States, <=50K
+20, Private, 39615, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 203871, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1887, 40, United-States, >50K
+57, State-gov, 25045, Bachelors, 13, Divorced, Adm-clerical, Unmarried, White, Male, 2174, 0, 37, United-States, <=50K
+36, Private, 112264, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K
+25, Private, 169100, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+46, Private, 155659, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Germany, >50K
+39, Private, 291665, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 4508, 0, 24, United-States, <=50K
+29, Private, 224215, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+18, Private, 270502, 11th, 7, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+46, Private, 125487, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K
+61, Private, 51385, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+41, Private, 112763, HS-grad, 9, Widowed, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+50, Private, 108926, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+53, Private, 366957, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 99999, 0, 50, India, >50K
+36, Local-gov, 109766, Bachelors, 13, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+38, Private, 226106, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+75, Self-emp-not-inc, 92792, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 35, United-States, <=50K
+26, Private, 186950, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K
+44, Private, 230478, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+25, Private, 231638, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+31, Private, 120461, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+49, Private, 33673, 12th, 8, Never-married, Transport-moving, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 35, United-States, <=50K
+34, Private, 191385, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, <=50K
+31, Self-emp-not-inc, 229946, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, Columbia, <=50K
+47, Self-emp-not-inc, 160131, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 190895, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 50, United-States, >50K
+18, Private, 126021, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+47, Private, 27815, 9th, 5, Divorced, Other-service, Not-in-family, White, Female, 0, 1719, 30, United-States, <=50K
+42, Private, 203542, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 144592, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+38, Local-gov, 223004, Some-college, 10, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 75, United-States, <=50K
+22, Private, 183257, Some-college, 10, Never-married, Sales, Own-child, Black, Female, 0, 0, 20, United-States, <=50K
+32, Private, 172714, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 131611, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 48, United-States, <=50K
+41, Private, 253060, Prof-school, 15, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K
+46, Private, 471990, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 46, United-States, >50K
+44, Private, 138966, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 38, United-States, <=50K
+35, Private, 385412, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+18, ?, 184101, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 25, United-States, <=50K
+60, Private, 103344, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 15024, 0, 40, United-States, >50K
+36, Local-gov, 135786, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 25, United-States, <=50K
+30, Private, 227359, Some-college, 10, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+40, State-gov, 86912, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+21, Private, 83033, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 2176, 0, 20, United-States, <=50K
+25, Private, 172581, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+56, State-gov, 274111, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 1669, 40, United-States, <=50K
+42, Private, 187795, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 55, United-States, >50K
+26, Private, 483822, 7th-8th, 4, Never-married, Handlers-cleaners, Unmarried, White, Male, 0, 0, 40, Guatemala, <=50K
+66, Self-emp-inc, 220543, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K
+48, Private, 152953, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 32, Dominican-Republic, <=50K
+35, Private, 239755, Some-college, 10, Never-married, Sales, Unmarried, White, Male, 0, 0, 50, United-States, <=50K
+41, Private, 177905, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K
+19, Private, 200136, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+55, Self-emp-not-inc, 111625, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+42, Self-emp-not-inc, 336513, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 15024, 0, 60, United-States, >50K
+45, Private, 162915, Some-college, 10, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+29, Private, 116662, Bachelors, 13, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+42, Self-emp-not-inc, 24763, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 40, United-States, >50K
+65, Private, 225580, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+30, Private, 169104, Assoc-acdm, 12, Never-married, Other-service, Other-relative, Asian-Pac-Islander, Male, 0, 0, 40, Vietnam, <=50K
+43, Private, 212894, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+61, Private, 93997, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Italy, <=50K
+22, Private, 189924, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+23, Private, 274424, 11th, 7, Separated, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+34, Private, 188246, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+51, Private, 284211, HS-grad, 9, Widowed, Prof-specialty, Unmarried, White, Female, 0, 0, 35, United-States, <=50K
+21, Private, 198259, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+31, Private, 368517, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K
+34, Private, 168768, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+33, Federal-gov, 122220, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, Black, Female, 0, 0, 40, United-States, >50K
+32, Private, 136204, Masters, 14, Separated, Exec-managerial, Not-in-family, White, Male, 0, 2824, 55, United-States, >50K
+44, Private, 175641, 11th, 7, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+21, State-gov, 173324, Some-college, 10, Never-married, Other-service, Own-child, Black, Male, 0, 0, 20, United-States, <=50K
+75, Local-gov, 31195, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+55, Federal-gov, 88876, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 60, United-States, >50K
+43, Self-emp-not-inc, 176069, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 16, United-States, <=50K
+31, Private, 215297, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+41, Private, 198425, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+26, Local-gov, 180957, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+23, Private, 206129, Assoc-voc, 11, Never-married, Craft-repair, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+42, Federal-gov, 65950, HS-grad, 9, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+29, Private, 197618, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+21, Private, 185357, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+28, Private, 134890, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+64, ?, 193043, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+35, Federal-gov, 153633, Some-college, 10, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+65, Private, 115890, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 20, United-States, <=50K
+34, Private, 394447, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 2463, 0, 50, France, <=50K
+58, Private, 343957, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+63, ?, 247986, Prof-school, 15, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 30, United-States, >50K
+50, Private, 238959, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 99999, 0, 60, ?, >50K
+59, Private, 159048, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+46, Private, 423222, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 40, United-States, >50K
+30, Private, 89735, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+28, Private, 31778, Bachelors, 13, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+51, ?, 157327, 5th-6th, 3, Married-civ-spouse, ?, Husband, Black, Male, 0, 0, 8, United-States, <=50K
+47, Private, 233511, Masters, 14, Divorced, Sales, Not-in-family, White, Male, 27828, 0, 60, United-States, >50K
+30, Private, 327112, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 0, 1564, 40, United-States, >50K
+34, Private, 236543, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+51, State-gov, 194475, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+41, Private, 303510, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+57, Private, 171242, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+28, Self-emp-not-inc, 39388, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K
+62, Local-gov, 197218, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 18, United-States, <=50K
+22, State-gov, 151991, Some-college, 10, Never-married, Tech-support, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+38, Private, 374524, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+34, ?, 267352, 11th, 7, Never-married, ?, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+45, Local-gov, 364563, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K
+37, Private, 186035, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K
+21, Private, 47541, HS-grad, 9, Divorced, Machine-op-inspct, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+49, Private, 151107, HS-grad, 9, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+24, Private, 500509, HS-grad, 9, Never-married, Other-service, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+47, Private, 138107, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 2258, 40, United-States, >50K
+20, Federal-gov, 225515, Some-college, 10, Never-married, Tech-support, Own-child, White, Female, 0, 0, 24, United-States, <=50K
+27, Private, 153291, Prof-school, 15, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 50, United-States, >50K
+40, Private, 169885, HS-grad, 9, Separated, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+19, ?, 112780, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+31, Local-gov, 175778, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+43, Private, 55213, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 1977, 52, United-States, >50K
+48, Private, 38950, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K
+64, Self-emp-not-inc, 65991, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 7298, 0, 45, United-States, >50K
+39, Private, 174330, HS-grad, 9, Separated, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+50, Private, 35224, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+52, Private, 175622, Assoc-voc, 11, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+44, Private, 164678, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 45, United-States, <=50K
+50, ?, 87263, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 55, United-States, >50K
+54, Private, 163671, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1887, 65, United-States, >50K
+17, Self-emp-not-inc, 181317, 10th, 6, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+33, Federal-gov, 177945, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+28, Private, 47168, 10th, 6, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+39, Self-emp-not-inc, 190023, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K
+33, Private, 168782, Assoc-voc, 11, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+59, Private, 175290, 7th-8th, 4, Never-married, Other-service, Other-relative, White, Male, 0, 0, 32, United-States, <=50K
+74, Private, 145463, 1st-4th, 2, Widowed, Priv-house-serv, Not-in-family, Black, Female, 0, 0, 15, United-States, <=50K
+54, Private, 159755, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K
+31, Private, 113364, Assoc-acdm, 12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 55, United-States, <=50K
+31, Private, 487742, Some-college, 10, Separated, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+20, Private, 304710, Some-college, 10, Never-married, Sales, Own-child, Asian-Pac-Islander, Female, 0, 0, 20, United-States, <=50K
+54, Local-gov, 185846, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 40, United-States, >50K
+42, Private, 212894, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 2407, 0, 40, United-States, <=50K
+57, Self-emp-not-inc, 315460, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 36, United-States, <=50K
+49, Private, 135643, HS-grad, 9, Widowed, Craft-repair, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, South, <=50K
+40, Private, 220977, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 3103, 0, 40, India, >50K
+19, ?, 117444, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+38, Private, 202683, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+39, Private, 164866, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 42, United-States, >50K
+43, Private, 191814, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 50, United-States, >50K
+32, ?, 227160, Some-college, 10, Divorced, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+57, Private, 158077, Bachelors, 13, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, <=50K
+38, Private, 191103, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 99, United-States, >50K
+25, Private, 193701, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K
+40, Private, 143046, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+34, Private, 206297, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 48, United-States, >50K
+35, Self-emp-not-inc, 188563, HS-grad, 9, Divorced, Farming-fishing, Own-child, White, Male, 0, 0, 50, United-States, <=50K
+53, Private, 35102, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 34, United-States, <=50K
+21, Private, 203055, Some-college, 10, Never-married, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+43, Private, 309932, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+43, Self-emp-not-inc, 243432, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K
+22, Private, 177107, Assoc-voc, 11, Never-married, Prof-specialty, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K
+64, Self-emp-not-inc, 113929, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 35, United-States, <=50K
+19, ?, 291509, 12th, 8, Never-married, ?, Own-child, White, Male, 0, 0, 28, United-States, <=50K
+40, Private, 222011, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 3325, 0, 40, United-States, <=50K
+34, Private, 186824, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 70, United-States, <=50K
+46, Private, 192768, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K
+35, Private, 234962, HS-grad, 9, Never-married, Machine-op-inspct, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K
+32, Private, 83253, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K
+26, Private, 248990, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 346159, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+55, Private, 272656, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 55, United-States, >50K
+22, Private, 60552, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+29, State-gov, 33798, Some-college, 10, Divorced, Adm-clerical, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+38, Self-emp-not-inc, 112158, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 99, United-States, <=50K
+55, Private, 200992, Some-college, 10, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+26, Private, 98155, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+34, Self-emp-inc, 79586, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Other, Male, 0, 0, 60, United-States, <=50K
+25, State-gov, 143062, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+39, Private, 101146, HS-grad, 9, Divorced, Prof-specialty, Not-in-family, White, Female, 4650, 0, 40, United-States, <=50K
+18, ?, 284450, 11th, 7, Never-married, ?, Own-child, White, Male, 0, 0, 25, United-States, <=50K
+58, State-gov, 159021, 9th, 5, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K
+34, Local-gov, 353270, Assoc-voc, 11, Never-married, Craft-repair, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+29, Self-emp-not-inc, 162312, Some-college, 10, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Male, 0, 0, 45, South, <=50K
+49, State-gov, 231961, Doctorate, 16, Divorced, Prof-specialty, Unmarried, White, Male, 0, 0, 50, United-States, >50K
+38, Private, 181943, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+21, Private, 163595, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+28, Private, 130856, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+42, Private, 208875, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, El-Salvador, >50K
+29, Self-emp-not-inc, 58744, Assoc-acdm, 12, Never-married, Other-service, Own-child, White, Male, 0, 0, 60, United-States, <=50K
+48, Private, 116641, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 45, United-States, <=50K
+40, Private, 69333, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 320811, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+34, Private, 197886, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K
+57, Self-emp-not-inc, 253914, 1st-4th, 2, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 35, Mexico, <=50K
+24, Private, 89154, 9th, 5, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, El-Salvador, <=50K
+32, Private, 372317, 9th, 5, Separated, Other-service, Unmarried, White, Female, 0, 0, 23, Mexico, <=50K
+18, Self-emp-not-inc, 296090, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 48, ?, <=50K
+39, Private, 192614, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 56, United-States, <=50K
+39, Private, 403489, 11th, 7, Divorced, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+18, Private, 169652, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 12, United-States, <=50K
+20, Private, 217467, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+27, ?, 162104, 9th, 5, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+54, Private, 175912, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+40, Self-emp-not-inc, 179533, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 75, United-States, >50K
+27, Private, 149624, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 30, United-States, <=50K
+27, Private, 289147, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+43, Federal-gov, 347720, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+22, Private, 406978, Bachelors, 13, Never-married, Exec-managerial, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+17, Private, 193199, 11th, 7, Never-married, Sales, Unmarried, White, Female, 0, 0, 12, Poland, <=50K
+37, Self-emp-inc, 163998, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+49, Private, 173115, 10th, 6, Separated, Exec-managerial, Not-in-family, Black, Male, 4416, 0, 99, United-States, <=50K
+33, Private, 333701, Assoc-voc, 11, Never-married, Other-service, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K
+21, State-gov, 48121, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Male, 0, 1602, 10, United-States, <=50K
+45, Private, 186256, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 104525, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 104097, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 2829, 0, 60, United-States, <=50K
+71, Private, 212806, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 36, United-States, <=50K
+23, Local-gov, 203353, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 45, United-States, <=50K
+41, Private, 130126, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 80, United-States, >50K
+21, ?, 270043, 10th, 6, Never-married, ?, Unmarried, White, Female, 0, 0, 30, United-States, <=50K
+47, Private, 218435, HS-grad, 9, Married-spouse-absent, Sales, Unmarried, White, Female, 0, 0, 20, Cuba, <=50K
+30, Private, 154120, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K
+40, Private, 193537, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, Dominican-Republic, <=50K
+44, Private, 84535, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 48, United-States, <=50K
+50, Private, 150999, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 40, United-States, >50K
+31, State-gov, 157673, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K
+68, Private, 217424, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 24, United-States, <=50K
+45, Private, 358886, 12th, 8, Married-civ-spouse, Adm-clerical, Husband, White, Male, 2407, 0, 50, United-States, <=50K
+38, Private, 186191, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+78, Self-emp-inc, 212660, 11th, 7, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 10, United-States, <=50K
+31, Self-emp-inc, 31740, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 55, United-States, <=50K
+39, Private, 498785, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+36, Self-emp-not-inc, 35945, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 7298, 0, 45, United-States, >50K
+46, Local-gov, 162566, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 50, Canada, <=50K
+30, Private, 118861, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 50, United-States, >50K
+34, Private, 206609, Some-college, 10, Never-married, Sales, Unmarried, White, Male, 0, 0, 35, United-States, <=50K
+30, Federal-gov, 423064, HS-grad, 9, Separated, Adm-clerical, Other-relative, Black, Male, 0, 0, 35, United-States, <=50K
+47, Private, 191957, Bachelors, 13, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 40, United-States, >50K
+40, Private, 223934, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 17, United-States, >50K
+62, ?, 129246, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+44, Self-emp-not-inc, 195486, HS-grad, 9, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 70, Jamaica, <=50K
+40, Private, 114580, HS-grad, 9, Divorced, Craft-repair, Other-relative, White, Female, 0, 0, 40, Vietnam, <=50K
+20, Private, 119215, Some-college, 10, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+45, Private, 240554, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+55, Private, 199067, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 42, United-States, >50K
+51, Private, 144084, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+38, Private, 358682, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+49, Local-gov, 59612, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+49, State-gov, 391585, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 40, United-States, >50K
+30, Local-gov, 101345, HS-grad, 9, Separated, Other-service, Unmarried, White, Female, 0, 0, 26, United-States, <=50K
+20, Private, 117618, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 231238, 9th, 5, Separated, Farming-fishing, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K
+42, Local-gov, 143046, HS-grad, 9, Widowed, Transport-moving, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+46, Private, 326857, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 2415, 65, United-States, >50K
+43, Private, 203642, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, >50K
+62, Private, 88579, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K
+21, Private, 240517, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 70, United-States, <=50K
+58, Local-gov, 156649, 1st-4th, 2, Widowed, Handlers-cleaners, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K
+30, Private, 143392, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K
+37, Private, 365465, HS-grad, 9, Separated, Craft-repair, Unmarried, White, Male, 0, 0, 70, Philippines, <=50K
+22, State-gov, 264710, Bachelors, 13, Never-married, Tech-support, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+64, State-gov, 223830, 9th, 5, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K
+42, Private, 154374, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K
+43, State-gov, 242521, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 124569, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+25, Private, 209230, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 6, United-States, <=50K
+21, Private, 162228, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+45, Federal-gov, 60267, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+55, Self-emp-not-inc, 76901, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K
+24, Private, 137876, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 50, United-States, <=50K
+70, Self-emp-not-inc, 347910, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 35, United-States, <=50K
+27, Local-gov, 138917, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+34, Private, 532379, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+57, Private, 31532, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+37, Self-emp-not-inc, 30973, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+52, Private, 117295, 1st-4th, 2, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+32, Private, 295282, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, <=50K
+42, Private, 190786, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 246207, Bachelors, 13, Never-married, Machine-op-inspct, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+50, Private, 130780, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+36, Private, 186212, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+42, Private, 175526, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 207025, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 6849, 0, 38, United-States, <=50K
+39, Federal-gov, 82622, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+51, Private, 199688, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 60, ?, >50K
+38, State-gov, 318886, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 52, United-States, <=50K
+18, Private, 256005, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+63, Self-emp-not-inc, 217715, 5th-6th, 3, Never-married, Sales, Not-in-family, White, Female, 0, 0, 3, United-States, <=50K
+50, Private, 205803, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 40, United-States, >50K
+82, Self-emp-not-inc, 240491, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Cuba, <=50K
+33, Private, 154120, HS-grad, 9, Divorced, Handlers-cleaners, Own-child, White, Male, 0, 0, 45, United-States, <=50K
+37, Private, 69251, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K
+24, Private, 333505, HS-grad, 9, Married-spouse-absent, Transport-moving, Own-child, White, Male, 0, 0, 40, Peru, <=50K
+31, Private, 168521, Bachelors, 13, Never-married, Exec-managerial, Unmarried, White, Female, 0, 0, 50, United-States, <=50K
+59, Private, 193568, HS-grad, 9, Divorced, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+18, Private, 426895, 12th, 8, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 55, United-States, <=50K
+47, Self-emp-not-inc, 131826, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+48, Private, 79646, 11th, 7, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K
+27, Private, 167031, Bachelors, 13, Never-married, Prof-specialty, Unmarried, Other, Female, 0, 0, 33, United-States, <=50K
+34, Private, 73199, 11th, 7, Never-married, Other-service, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K
+50, Private, 114056, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 84, United-States, <=50K
+57, Self-emp-not-inc, 110417, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 75, United-States, <=50K
+60, Private, 33266, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K
+39, Private, 154410, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+56, ?, 154537, Some-college, 10, Divorced, ?, Unmarried, White, Female, 0, 0, 50, United-States, >50K
+18, Private, 27780, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+26, Private, 142914, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 75, United-States, <=50K
+37, Private, 190987, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 7298, 0, 40, United-States, >50K
+20, Private, 314422, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+29, Local-gov, 273771, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+30, Private, 175083, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 52, United-States, <=50K
+21, Private, 63665, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 15, United-States, <=50K
+24, Local-gov, 193416, Some-college, 10, Never-married, Protective-serv, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+51, Private, 74275, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 122609, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+45, Private, 225456, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 40, United-States, >50K
+36, Local-gov, 116892, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 196971, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 72, United-States, <=50K
+20, Private, 105312, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+46, Private, 108699, Some-college, 10, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K
+44, Private, 171615, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K
+39, Private, 388023, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K
+39, Private, 181553, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K
+45, Private, 170850, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 44, United-States, >50K
+28, Private, 187479, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, <=50K
+44, Private, 277720, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 35, United-States, <=50K
+48, Local-gov, 493862, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 7298, 0, 38, United-States, >50K
+27, Private, 220754, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 70, United-States, <=50K
+34, Self-emp-not-inc, 209768, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 93225, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+28, Federal-gov, 341709, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 236242, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+21, Private, 121889, Some-college, 10, Never-married, Sales, Own-child, Black, Female, 0, 0, 20, United-States, <=50K
+18, Private, 318190, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 15, United-States, <=50K
+63, Self-emp-not-inc, 111306, 7th-8th, 4, Widowed, Farming-fishing, Unmarried, White, Female, 0, 0, 10, United-States, <=50K
+18, Private, 198614, 11th, 7, Never-married, Sales, Own-child, Black, Female, 0, 0, 8, United-States, <=50K
+32, Private, 193231, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+25, ?, 104614, 11th, 7, Never-married, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+19, Private, 172368, 11th, 7, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+23, Private, 60331, Some-college, 10, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+38, Private, 154568, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 40, ?, <=50K
+36, Private, 192939, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 60, United-States, >50K
+43, Private, 138184, HS-grad, 9, Divorced, Other-service, Not-in-family, Black, Female, 0, 1762, 35, United-States, <=50K
+45, Private, 238567, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, England, >50K
+30, Private, 208068, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Other, Male, 0, 0, 40, Mexico, <=50K
+46, Private, 181810, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 4064, 0, 40, United-States, <=50K
+24, Federal-gov, 283918, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 25, United-States, <=50K
+42, Private, 107276, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 2444, 40, United-States, >50K
+23, Private, 37783, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+27, Private, 263552, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+48, Private, 255439, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+31, Self-emp-inc, 344275, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 44, United-States, <=50K
+31, Private, 70568, 1st-4th, 2, Never-married, Other-service, Other-relative, White, Female, 0, 0, 25, El-Salvador, <=50K
+18, Private, 127827, 12th, 8, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+36, Private, 185203, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+58, Private, 123436, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 50, United-States, >50K
+51, Self-emp-not-inc, 136322, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 1579, 40, United-States, <=50K
+22, Private, 187052, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+72, Private, 177769, 10th, 6, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 15, United-States, <=50K
+61, Private, 68268, 10th, 6, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 55, United-States, <=50K
+42, Private, 424855, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 3908, 0, 40, United-States, <=50K
+37, Federal-gov, 81853, HS-grad, 9, Divorced, Prof-specialty, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, ?, <=50K
+30, Self-emp-inc, 153549, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+40, Private, 271393, Assoc-acdm, 12, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+20, Private, 198148, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+65, Private, 469602, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 15, United-States, <=50K
+36, Private, 163290, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+37, Private, 295949, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+33, Self-emp-not-inc, 125279, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K
+64, Local-gov, 182866, HS-grad, 9, Widowed, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+61, Self-emp-not-inc, 111563, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 20, United-States, >50K
+38, Private, 34173, Bachelors, 13, Never-married, Sales, Unmarried, White, Female, 0, 0, 45, United-States, <=50K
+27, Private, 183627, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 50, United-States, >50K
+24, Private, 197757, Bachelors, 13, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K
+39, Private, 98941, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+44, Private, 205474, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+47, Private, 206659, Some-college, 10, Divorced, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+73, ?, 191394, Prof-school, 15, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+66, Private, 244661, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K
+53, Private, 47396, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, >50K
+43, State-gov, 270721, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K
+57, State-gov, 32694, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+44, Private, 171256, Assoc-acdm, 12, Divorced, Machine-op-inspct, Own-child, White, Female, 0, 0, 45, United-States, <=50K
+59, Private, 169982, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2002, 50, United-States, <=50K
+52, Self-emp-not-inc, 217210, HS-grad, 9, Widowed, Other-service, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K
+46, Private, 218329, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 386643, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+37, Federal-gov, 125933, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+41, Self-emp-not-inc, 155767, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K
+39, Federal-gov, 432555, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 1628, 40, United-States, <=50K
+30, Private, 54929, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K
+59, Private, 162136, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 56, United-States, <=50K
+22, Private, 256504, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+40, Private, 162098, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 30, United-States, <=50K
+39, Self-emp-not-inc, 103110, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K
+24, Private, 227610, 10th, 6, Divorced, Handlers-cleaners, Unmarried, White, Female, 0, 0, 58, United-States, <=50K
+63, Private, 176696, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+51, Private, 220019, Assoc-acdm, 12, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+34, Self-emp-inc, 242984, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+38, Private, 187847, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+17, Private, 132636, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+20, Private, 108887, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+42, Self-emp-not-inc, 195897, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+41, Private, 112181, Bachelors, 13, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 12, United-States, >50K
+56, Local-gov, 391926, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+17, Private, 195505, 10th, 6, Never-married, Sales, Own-child, White, Male, 0, 0, 5, United-States, <=50K
+31, Private, 43819, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 7688, 0, 43, United-States, >50K
+23, Private, 145389, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, <=50K
+33, ?, 186824, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+36, Local-gov, 101833, Bachelors, 13, Separated, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 82283, 5th-6th, 3, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 40, ?, <=50K
+52, Private, 99602, HS-grad, 9, Separated, Craft-repair, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+28, Private, 213276, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K
+59, Private, 424468, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, ?, <=50K
+30, Private, 176123, 10th, 6, Never-married, Machine-op-inspct, Other-relative, Asian-Pac-Islander, Male, 0, 0, 40, Vietnam, <=50K
+32, Private, 38797, Assoc-voc, 11, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 101859, 7th-8th, 4, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+53, Private, 87158, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+54, Self-emp-not-inc, 205066, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 36, United-States, <=50K
+26, Private, 56929, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, Black, Male, 0, 0, 50, ?, <=50K
+34, Private, 25322, Bachelors, 13, Married-spouse-absent, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Male, 0, 2339, 40, ?, <=50K
+31, Private, 87950, Assoc-voc, 11, Divorced, Sales, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K
+34, Private, 150154, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+58, Private, 142076, HS-grad, 9, Divorced, Tech-support, Not-in-family, White, Male, 4787, 0, 39, United-States, >50K
+30, State-gov, 112139, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K
+53, Private, 149217, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Puerto-Rico, <=50K
+27, Private, 189974, Some-college, 10, Divorced, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+23, Private, 109199, 5th-6th, 3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+24, Private, 190290, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+36, Private, 189404, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1977, 35, United-States, >50K
+33, Federal-gov, 428271, HS-grad, 9, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K
+22, State-gov, 134192, Some-college, 10, Never-married, Tech-support, Own-child, White, Female, 0, 0, 10, United-States, <=50K
+47, Private, 168211, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 44, United-States, <=50K
+34, Private, 277314, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, Black, Male, 0, 1902, 50, United-States, >50K
+44, Federal-gov, 316120, Prof-school, 15, Divorced, Prof-specialty, Unmarried, White, Male, 0, 0, 40, United-States, >50K
+41, Private, 107276, Assoc-voc, 11, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+45, ?, 112453, HS-grad, 9, Separated, ?, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 4, United-States, <=50K
+24, Private, 346909, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 44, Mexico, <=50K
+65, ?, 105017, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+45, Private, 317360, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 50, United-States, <=50K
+23, Private, 189017, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K
+54, Private, 138179, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 299813, 11th, 7, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 37, Dominican-Republic, <=50K
+45, Private, 265083, 5th-6th, 3, Divorced, Priv-house-serv, Unmarried, White, Female, 0, 0, 35, Mexico, <=50K
+50, Private, 185846, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 184655, Assoc-acdm, 12, Never-married, Other-service, Other-relative, White, Male, 0, 0, 25, United-States, <=50K
+24, Private, 200295, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+42, Private, 117319, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1672, 40, United-States, <=50K
+50, Private, 63000, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K
+58, Self-emp-not-inc, 106942, Some-college, 10, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+47, Private, 52795, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 46, United-States, <=50K
+37, Private, 51264, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 99, France, >50K
+37, Self-emp-not-inc, 410919, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+22, Private, 105592, Assoc-acdm, 12, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+29, Self-emp-not-inc, 183151, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 48, United-States, <=50K
+45, Private, 209912, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 40, India, >50K
+49, Self-emp-not-inc, 275845, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K
+44, Local-gov, 241851, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Husband, White, Male, 4386, 0, 40, United-States, >50K
+72, Private, 89299, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 16, United-States, <=50K
+63, Self-emp-not-inc, 106648, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 12, United-States, <=50K
+26, Private, 58426, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K
+58, Self-emp-not-inc, 121912, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 42, United-States, <=50K
+40, Private, 170730, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+56, Private, 257555, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+55, Self-emp-not-inc, 51499, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 72, United-States, <=50K
+28, Private, 195000, Bachelors, 13, Never-married, Sales, Other-relative, White, Female, 0, 0, 45, United-States, <=50K
+57, Private, 108741, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K
+37, Private, 184964, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, >50K
+44, Private, 156815, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+31, Private, 49325, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+42, Private, 121718, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, Germany, <=50K
+18, Private, 172076, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+57, Self-emp-not-inc, 327901, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+53, Local-gov, 215990, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 35, United-States, <=50K
+38, Private, 210866, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 44, United-States, >50K
+33, Private, 322873, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+42, Private, 265698, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+70, ?, 26990, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 60, United-States, <=50K
+50, Private, 177896, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+50, Private, 189107, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 306830, Assoc-acdm, 12, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Nicaragua, <=50K
+72, Federal-gov, 39110, 11th, 7, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 8, Canada, <=50K
+33, Private, 155475, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+47, Private, 135803, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 25, Philippines, <=50K
+48, Private, 117849, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+64, Self-emp-not-inc, 339321, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 24, United-States, >50K
+19, Private, 318822, 11th, 7, Never-married, Priv-house-serv, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+48, Private, 174794, Assoc-voc, 11, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+37, Private, 204277, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 1848, 48, United-States, >50K
+55, Private, 182460, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 15024, 0, 35, United-States, >50K
+24, Private, 193920, Masters, 14, Never-married, Priv-house-serv, Not-in-family, White, Female, 0, 0, 45, ?, <=50K
+42, Federal-gov, 91468, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+43, Private, 106760, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 50, Canada, >50K
+34, Private, 375680, Assoc-acdm, 12, Never-married, Craft-repair, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+55, Self-emp-inc, 222615, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K
+22, Private, 190968, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+39, Private, 76767, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K
+50, Self-emp-not-inc, 203098, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 35, United-States, <=50K
+47, Local-gov, 162187, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1887, 40, United-States, >50K
+25, Private, 242729, Bachelors, 13, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+52, Private, 253784, 11th, 7, Divorced, Other-service, Unmarried, White, Female, 0, 0, 20, United-States, <=50K
+30, Private, 206051, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+37, Self-emp-not-inc, 181553, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+73, Self-emp-inc, 80986, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 20, United-States, <=50K
+50, Private, 200783, 7th-8th, 4, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+34, Private, 42596, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K
+24, Private, 464502, Assoc-acdm, 12, Never-married, Sales, Not-in-family, Black, Male, 0, 0, 40, ?, <=50K
+66, Private, 205724, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 24, United-States, >50K
+22, Private, 446140, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 55, United-States, <=50K
+69, Local-gov, 32287, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 25, United-States, <=50K
+23, Private, 56774, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+55, Private, 308118, Bachelors, 13, Widowed, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, ?, <=50K
+35, Private, 176279, Some-college, 10, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 30, United-States, <=50K
+20, Private, 103277, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+70, Self-emp-inc, 225780, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 20, United-States, >50K
+54, Private, 154728, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 7688, 0, 40, United-States, >50K
+34, Private, 149943, HS-grad, 9, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, Japan, <=50K
+38, State-gov, 22245, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K
+33, Private, 93056, 7th-8th, 4, Divorced, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+43, Private, 270522, HS-grad, 9, Separated, Other-service, Not-in-family, White, Female, 0, 0, 26, United-States, <=50K
+60, Self-emp-inc, 123218, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+81, Self-emp-not-inc, 123959, Bachelors, 13, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 1668, 3, Hungary, <=50K
+32, Self-emp-not-inc, 103642, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, <=50K
+34, Private, 157747, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K
+46, Self-emp-not-inc, 154083, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K
+30, State-gov, 23037, Some-college, 10, Never-married, Other-service, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 84, United-States, <=50K
+23, ?, 226891, HS-grad, 9, Never-married, ?, Other-relative, Asian-Pac-Islander, Female, 0, 0, 20, South, <=50K
+29, Private, 50028, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+51, Private, 138251, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K
+31, Private, 369825, 7th-8th, 4, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 25, United-States, <=50K
+36, Federal-gov, 44364, HS-grad, 9, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 36, United-States, <=50K
+23, Private, 230704, Some-college, 10, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 22, United-States, <=50K
+35, Private, 42044, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 30, United-States, <=50K
+28, Local-gov, 56340, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+33, State-gov, 156015, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+40, Private, 163434, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 85251, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K
+38, Self-emp-inc, 187411, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+47, Private, 155124, Assoc-voc, 11, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 1669, 40, United-States, <=50K
+25, Private, 396633, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 56, United-States, >50K
+45, Private, 182313, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 50, United-States, >50K
+38, Private, 52596, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+66, ?, 260111, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, >50K
+65, Local-gov, 143570, Some-college, 10, Never-married, Prof-specialty, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+30, Private, 160634, Assoc-voc, 11, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, >50K
+54, Private, 29909, 11th, 7, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 43, United-States, <=50K
+49, Private, 94215, 12th, 8, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+41, Self-emp-not-inc, 151990, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 15, United-States, >50K
+48, Federal-gov, 188081, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+23, Private, 218445, 5th-6th, 3, Never-married, Priv-house-serv, Unmarried, White, Female, 0, 0, 12, Mexico, <=50K
+77, Private, 235775, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 25, Cuba, <=50K
+19, Private, 98605, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+30, Private, 188398, HS-grad, 9, Married-spouse-absent, Adm-clerical, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+41, Self-emp-inc, 140365, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 55, United-States, >50K
+35, Private, 202950, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, Iran, >50K
+20, Private, 218215, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+66, Self-emp-inc, 197816, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 10605, 0, 40, United-States, >50K
+49, Private, 147002, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Female, 0, 0, 40, Puerto-Rico, <=50K
+52, Private, 138497, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K
+24, Private, 57711, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 35, United-States, >50K
+50, Private, 169925, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 15, United-States, <=50K
+22, Private, 72310, 11th, 7, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K
+19, Private, 170800, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+39, Private, 215095, 11th, 7, Never-married, Prof-specialty, Unmarried, White, Female, 0, 0, 30, Puerto-Rico, <=50K
+45, Private, 480717, Bachelors, 13, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 38, ?, <=50K
+61, Local-gov, 34632, Bachelors, 13, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+45, Private, 140664, Assoc-acdm, 12, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K
+36, Local-gov, 177858, Bachelors, 13, Married-civ-spouse, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 160369, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2415, 45, United-States, >50K
+38, Private, 129102, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K
+52, Local-gov, 278522, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+29, Federal-gov, 124953, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 42, United-States, >50K
+33, Private, 63184, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+40, Self-emp-not-inc, 165815, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 248584, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K
+46, Local-gov, 226871, Bachelors, 13, Divorced, Protective-serv, Not-in-family, Black, Male, 0, 0, 50, United-States, >50K
+44, Private, 267717, Masters, 14, Married-civ-spouse, Craft-repair, Husband, White, Male, 15024, 0, 45, United-States, >50K
+19, Private, 60367, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 13, United-States, <=50K
+44, Private, 134120, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K
+40, Private, 95639, HS-grad, 9, Never-married, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K
+20, Private, 132053, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 2, United-States, <=50K
+24, Private, 138768, Assoc-acdm, 12, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+76, Private, 203910, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Male, 0, 0, 17, United-States, <=50K
+20, Private, 109952, HS-grad, 9, Married-civ-spouse, Tech-support, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 155781, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+31, Private, 49398, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 159303, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+19, Private, 248339, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+29, Private, 190539, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 1590, 50, United-States, <=50K
+30, Private, 183620, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K
+48, Private, 25468, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Male, 99999, 0, 50, United-States, >50K
+42, Private, 201495, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 52221, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+54, Self-emp-inc, 96460, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 60, United-States, >50K
+42, Private, 325353, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 7688, 0, 42, United-States, >50K
+28, Self-emp-not-inc, 176027, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 28, United-States, <=50K
+42, Local-gov, 266135, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 52, United-States, >50K
+60, State-gov, 194252, Masters, 14, Married-civ-spouse, Exec-managerial, Wife, White, Female, 3103, 0, 40, United-States, >50K
+76, ?, 164835, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K
+21, Private, 363192, Assoc-voc, 11, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+29, Private, 31360, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+43, Private, 63503, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+44, Private, 157614, HS-grad, 9, Divorced, Sales, Own-child, White, Male, 0, 0, 38, United-States, <=50K
+45, Private, 160647, Bachelors, 13, Divorced, Adm-clerical, Unmarried, White, Female, 4687, 0, 35, United-States, >50K
+38, Private, 363395, Some-college, 10, Never-married, Sales, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+28, Private, 338376, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, >50K
+29, Private, 87523, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+20, Private, 280714, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+49, Self-emp-inc, 119565, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+36, Local-gov, 171482, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 56, United-States, >50K
+40, Self-emp-inc, 49249, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+17, Private, 331552, 12th, 8, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+45, Private, 174426, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+42, Private, 184105, Some-college, 10, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 28, United-States, <=50K
+29, Private, 37933, Bachelors, 13, Never-married, Exec-managerial, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+57, Self-emp-not-inc, 291529, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 4386, 0, 13, United-States, >50K
+23, Private, 376416, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 263612, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, Haiti, <=50K
+23, Private, 227471, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 24, United-States, <=50K
+39, Private, 191103, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 35644, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+43, Self-emp-not-inc, 227298, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+25, State-gov, 187508, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 184378, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, Puerto-Rico, <=50K
+52, Self-emp-not-inc, 190333, HS-grad, 9, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K
+48, Private, 155372, HS-grad, 9, Widowed, Machine-op-inspct, Unmarried, White, Female, 0, 0, 36, United-States, <=50K
+37, Private, 259882, Assoc-voc, 11, Never-married, Sales, Unmarried, Black, Female, 0, 0, 6, United-States, <=50K
+36, Private, 217077, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K
+33, Private, 103596, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+36, Local-gov, 188236, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K
+24, Private, 353010, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 10, United-States, <=50K
+42, Local-gov, 70655, HS-grad, 9, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+35, Self-emp-inc, 64874, Assoc-acdm, 12, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+40, Federal-gov, 219240, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 22, United-States, <=50K
+50, Self-emp-inc, 104849, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, India, <=50K
+40, Private, 173590, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+22, Private, 412316, HS-grad, 9, Never-married, Sales, Other-relative, Black, Male, 0, 0, 40, ?, <=50K
+57, Self-emp-inc, 195835, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+51, Local-gov, 170579, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K
+61, Federal-gov, 230545, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 35, Puerto-Rico, <=50K
+71, Private, 162297, HS-grad, 9, Widowed, Sales, Unmarried, White, Female, 0, 0, 20, United-States, <=50K
+47, Private, 169549, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+38, Private, 117528, Bachelors, 13, Never-married, Other-service, Other-relative, White, Female, 0, 0, 45, United-States, <=50K
+25, Private, 273876, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K
+33, Private, 529104, 11th, 7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 50, United-States, <=50K
+40, State-gov, 456110, 11th, 7, Divorced, Transport-moving, Unmarried, White, Female, 0, 0, 52, United-States, <=50K
+39, ?, 180868, 11th, 7, Never-married, ?, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+29, Private, 170301, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 2829, 0, 40, United-States, <=50K
+33, Private, 55717, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+46, Private, 166181, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 36, United-States, <=50K
+24, Private, 52242, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, >50K
+28, Private, 224629, Masters, 14, Never-married, Exec-managerial, Not-in-family, Other, Male, 0, 0, 30, Cuba, <=50K
+20, Private, 197997, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 46144, Some-college, 10, Divorced, Handlers-cleaners, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+34, State-gov, 180871, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 55, United-States, <=50K
+25, Private, 212311, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+36, Private, 232874, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K
+61, Private, 175999, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 177121, Some-college, 10, Separated, Other-service, Not-in-family, White, Female, 0, 0, 58, United-States, <=50K
+57, Private, 299358, HS-grad, 9, Widowed, Other-service, Other-relative, White, Female, 0, 1719, 25, United-States, <=50K
+20, ?, 326624, HS-grad, 9, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+56, Private, 129836, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 10, United-States, <=50K
+24, Private, 225515, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+60, Private, 145664, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K
+37, Private, 151764, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K
+27, Private, 183523, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K
+54, Private, 257869, Some-college, 10, Separated, Other-service, Not-in-family, White, Male, 0, 0, 28, Columbia, <=50K
+40, Private, 73025, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 30, China, <=50K
+18, Private, 165532, 12th, 8, Never-married, Other-service, Own-child, White, Male, 0, 0, 15, United-States, <=50K
+51, Federal-gov, 140035, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+40, Self-emp-not-inc, 325159, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 50, United-States, >50K
+64, Federal-gov, 161926, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 8, United-States, <=50K
+24, Private, 163665, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 2174, 0, 40, United-States, <=50K
+33, Private, 106938, HS-grad, 9, Married-civ-spouse, Tech-support, Wife, Black, Female, 0, 0, 38, United-States, <=50K
+31, Private, 97453, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+26, Local-gov, 242464, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 3103, 0, 40, United-States, >50K
+54, Private, 155233, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 14084, 0, 40, United-States, >50K
+31, Private, 248653, 1st-4th, 2, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 37, Mexico, <=50K
+39, Private, 59313, 12th, 8, Married-spouse-absent, Transport-moving, Not-in-family, Black, Male, 0, 0, 45, ?, <=50K
+22, Private, 141297, Some-college, 10, Never-married, Tech-support, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 227325, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+68, Private, 123653, 5th-6th, 3, Separated, Other-service, Not-in-family, White, Male, 0, 0, 12, Italy, <=50K
+59, Federal-gov, 176317, 10th, 6, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 37, United-States, <=50K
+35, Self-emp-not-inc, 77146, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 2829, 0, 45, United-States, <=50K
+25, Private, 169124, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 179413, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 180137, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 60, United-States, <=50K
+17, State-gov, 179319, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+19, Private, 45766, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+53, Private, 152810, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 55, United-States, >50K
+59, Private, 214052, 5th-6th, 3, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+37, Private, 201141, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 37, United-States, <=50K
+74, Self-emp-not-inc, 43599, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K
+28, Private, 292536, Some-college, 10, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+40, Private, 82161, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 180656, Some-college, 10, Married-spouse-absent, Craft-repair, Not-in-family, White, Male, 0, 0, 40, ?, <=50K
+20, Private, 181370, Some-college, 10, Never-married, Other-service, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+80, Private, 148623, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, >50K
+51, Private, 84399, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+17, Private, 143331, 10th, 6, Never-married, Sales, Own-child, White, Male, 0, 0, 15, United-States, <=50K
+37, Federal-gov, 48779, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+19, ?, 175495, HS-grad, 9, Never-married, ?, Own-child, Black, Female, 0, 0, 24, United-States, <=50K
+58, Private, 83542, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+57, Private, 214619, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 160035, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+23, Federal-gov, 39603, Some-college, 10, Never-married, Craft-repair, Unmarried, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K
+36, Private, 181589, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 32, Columbia, <=50K
+33, Private, 261511, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 29522, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, <=50K
+30, Private, 36340, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 24, United-States, <=50K
+41, Private, 320984, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 65, United-States, >50K
+57, ?, 403625, Some-college, 10, Married-civ-spouse, ?, Husband, Asian-Pac-Islander, Male, 0, 0, 60, United-States, >50K
+23, Private, 122346, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 105794, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Female, 14084, 0, 50, United-States, >50K
+53, Private, 152883, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+31, State-gov, 123037, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 13, United-States, <=50K
+41, ?, 339682, 5th-6th, 3, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+36, Private, 182074, HS-grad, 9, Never-married, Adm-clerical, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 248588, 12th, 8, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+44, Private, 187584, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, Canada, <=50K
+36, Private, 46706, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+42, Private, 190290, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+48, Self-emp-not-inc, 247294, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 30, Peru, <=50K
+22, Private, 117779, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 121602, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 451744, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+32, Private, 107793, HS-grad, 9, Divorced, Other-service, Own-child, White, Male, 2174, 0, 40, United-States, <=50K
+35, Private, 339772, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+21, Private, 185582, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 43, United-States, <=50K
+26, Private, 260614, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+19, Local-gov, 53220, HS-grad, 9, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+43, Private, 213844, HS-grad, 9, Married-AF-spouse, Craft-repair, Wife, Black, Female, 0, 0, 42, United-States, >50K
+33, Private, 213226, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K
+30, Private, 58582, Bachelors, 13, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 10, United-States, <=50K
+52, Private, 193116, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K
+38, Local-gov, 201410, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+28, Private, 190525, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 46, United-States, >50K
+57, Self-emp-not-inc, 138285, Assoc-acdm, 12, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Iran, <=50K
+51, Private, 111939, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+50, Private, 109277, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, <=50K
+32, Private, 331539, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 50, China, >50K
+32, Private, 396745, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2415, 48, United-States, >50K
+37, Private, 126675, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+69, Self-emp-not-inc, 349022, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 33, United-States, <=50K
+33, ?, 98145, Some-college, 10, Divorced, ?, Unmarried, Amer-Indian-Eskimo, Male, 0, 0, 30, United-States, <=50K
+37, Private, 234901, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, Germany, >50K
+36, Private, 100681, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 2463, 0, 40, United-States, <=50K
+47, Self-emp-not-inc, 265097, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, >50K
+63, Private, 237379, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 44793, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K
+17, Private, 270942, HS-grad, 9, Never-married, Other-service, Other-relative, White, Male, 0, 0, 35, Mexico, <=50K
+56, Private, 193622, HS-grad, 9, Separated, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+90, Local-gov, 187749, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 20, Philippines, <=50K
+27, Private, 160178, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K
+38, Private, 680390, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 20, United-States, <=50K
+33, Private, 96245, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K
+26, Private, 34803, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+20, Private, 170091, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+42, Private, 231813, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+55, Private, 23789, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+32, State-gov, 438711, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, Black, Female, 0, 0, 40, United-States, <=50K
+66, Private, 169804, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 20051, 0, 40, United-States, >50K
+66, Local-gov, 376506, Doctorate, 16, Divorced, Prof-specialty, Not-in-family, White, Female, 3273, 0, 40, United-States, <=50K
+49, Private, 28791, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+34, Private, 162814, HS-grad, 9, Divorced, Protective-serv, Not-in-family, Black, Male, 0, 0, 45, United-States, <=50K
+38, Private, 58108, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+40, Self-emp-inc, 102226, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+22, Federal-gov, 209131, Assoc-acdm, 12, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+46, Self-emp-not-inc, 157117, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 172865, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, <=50K
+19, Private, 29798, 12th, 8, Never-married, Handlers-cleaners, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 20, United-States, <=50K
+71, ?, 229424, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+37, Local-gov, 80680, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 1151, 0, 35, United-States, <=50K
+52, Local-gov, 238959, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 32, United-States, >50K
+27, Private, 189462, Masters, 14, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 46, United-States, <=50K
+52, Private, 139347, HS-grad, 9, Married-civ-spouse, Transport-moving, Wife, White, Female, 0, 0, 40, United-States, <=50K
+31, Private, 188108, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 4101, 0, 40, United-States, <=50K
+37, Self-emp-inc, 111128, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K
+28, Private, 81540, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 257562, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+31, Private, 59496, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, <=50K
+29, Private, 29974, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+45, Private, 102597, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 35, United-States, <=50K
+69, Private, 41419, 7th-8th, 4, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 20, United-States, <=50K
+50, Private, 118565, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+54, State-gov, 312897, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 46, England, >50K
+17, Private, 166290, 9th, 5, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+34, Private, 160261, HS-grad, 9, Never-married, Tech-support, Own-child, Asian-Pac-Islander, Male, 14084, 0, 35, China, >50K
+32, Self-emp-not-inc, 116834, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 5, ?, <=50K
+23, Private, 203076, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+66, Private, 201197, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K
+61, Private, 273803, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+55, Private, 156797, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+24, Private, 283896, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 149368, HS-grad, 9, Divorced, Sales, Unmarried, White, Male, 1151, 0, 30, United-States, <=50K
+49, Private, 156926, Assoc-voc, 11, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, >50K
+21, ?, 163911, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 3, United-States, <=50K
+56, Self-emp-inc, 165881, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+25, Private, 86872, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+49, Private, 167523, Bachelors, 13, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+58, Private, 154950, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K
+40, Federal-gov, 171231, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, Puerto-Rico, <=50K
+62, Private, 244933, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+54, Private, 256908, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 25, United-States, >50K
+34, Self-emp-not-inc, 33442, Assoc-voc, 11, Never-married, Other-service, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+18, Private, 126142, 10th, 6, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+28, ?, 268222, 11th, 7, Never-married, ?, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+32, Private, 167106, HS-grad, 9, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Hong, <=50K
+22, Local-gov, 50065, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+34, State-gov, 252529, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K
+53, ?, 199665, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 30, United-States, >50K
+47, Private, 343579, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+19, Private, 190817, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+41, Self-emp-inc, 151089, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2415, 55, United-States, >50K
+46, Private, 186820, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 5013, 0, 40, United-States, <=50K
+56, Self-emp-not-inc, 210731, 7th-8th, 4, Divorced, Sales, Other-relative, White, Male, 0, 0, 20, Mexico, <=50K
+42, Private, 123816, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+25, Private, 77071, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 2339, 35, United-States, <=50K
+42, Private, 115085, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, <=50K
+43, Private, 170525, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 14344, 0, 40, United-States, >50K
+17, Private, 209949, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 1602, 12, United-States, <=50K
+57, Self-emp-not-inc, 34297, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+40, Private, 180985, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+62, Local-gov, 33365, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 40, Canada, <=50K
+20, Private, 197752, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 16, United-States, <=50K
+47, Private, 180551, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K
+40, Private, 77975, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+44, Private, 159297, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, Asian-Pac-Islander, Female, 0, 0, 40, ?, >50K
+48, Private, 94342, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K
+39, Self-emp-inc, 34180, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, >50K
+46, Local-gov, 367251, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, >50K
+72, Self-emp-inc, 172407, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 50, United-States, >50K
+53, Private, 303462, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 30, United-States, <=50K
+47, Federal-gov, 220269, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K
+40, Self-emp-not-inc, 45093, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 45, Canada, <=50K
+34, Private, 101709, HS-grad, 9, Separated, Transport-moving, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K
+41, Private, 219591, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+41, Private, 76625, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 342599, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+42, Self-emp-inc, 125846, 1st-4th, 2, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, ?, <=50K
+54, Local-gov, 238257, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+39, Self-emp-inc, 206253, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, <=50K
+37, Private, 172571, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+59, Private, 95165, Doctorate, 16, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+69, Private, 141181, 5th-6th, 3, Married-civ-spouse, Adm-clerical, Husband, White, Male, 1797, 0, 40, United-States, <=50K
+24, Private, 267843, Bachelors, 13, Never-married, Prof-specialty, Own-child, Black, Female, 0, 0, 35, United-States, <=50K
+36, Private, 181382, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 3103, 0, 40, United-States, >50K
+21, ?, 207782, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+68, ?, 103161, HS-grad, 9, Widowed, ?, Not-in-family, White, Male, 0, 0, 32, United-States, <=50K
+20, Private, 132320, Some-college, 10, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+26, Self-emp-not-inc, 201138, Assoc-voc, 11, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+48, Private, 239058, 12th, 8, Widowed, Handlers-cleaners, Unmarried, White, Female, 0, 0, 50, United-States, <=50K
+39, Self-emp-inc, 239755, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 50, United-States, >50K
+21, Private, 176262, Assoc-acdm, 12, Never-married, Other-service, Own-child, White, Female, 0, 0, 18, United-States, <=50K
+22, Private, 264738, HS-grad, 9, Never-married, Exec-managerial, Other-relative, White, Female, 0, 0, 42, Germany, <=50K
+34, Private, 182218, Assoc-voc, 11, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+33, Private, 318982, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+46, Private, 216666, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Guatemala, <=50K
+47, Private, 274200, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 40, United-States, >50K
+65, Private, 150095, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+23, Private, 192978, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 68021, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+34, Self-emp-not-inc, 28568, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, United-States, >50K
+20, Private, 115057, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 139568, 11th, 7, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+52, Self-emp-inc, 138497, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K
+40, State-gov, 182460, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female, 0, 0, 38, China, >50K
+22, Private, 253310, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 7, United-States, <=50K
+29, Self-emp-inc, 130856, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K
+31, Self-emp-not-inc, 389765, 7th-8th, 4, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K
+42, Federal-gov, 52781, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 40, United-States, >50K
+38, Private, 146178, HS-grad, 9, Never-married, Craft-repair, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+22, Private, 231053, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 70, United-States, >50K
+21, ?, 145964, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+43, Private, 483450, 9th, 5, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+43, Self-emp-inc, 198316, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+33, Private, 160614, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K
+17, Self-emp-inc, 325171, 10th, 6, Never-married, Other-service, Own-child, Black, Male, 0, 0, 35, United-States, <=50K
+54, Self-emp-not-inc, 172898, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 5178, 0, 50, United-States, >50K
+45, Private, 186473, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+55, Local-gov, 286967, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+51, Self-emp-not-inc, 111939, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 35, United-States, >50K
+65, Federal-gov, 325089, 10th, 6, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 143582, Bachelors, 13, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Female, 0, 0, 45, United-States, <=50K
+40, Private, 308027, HS-grad, 9, Widowed, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+58, Private, 105060, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 37, United-States, <=50K
+53, Federal-gov, 39643, HS-grad, 9, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 58, United-States, <=50K
+39, Private, 186191, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1848, 50, United-States, >50K
+56, Local-gov, 267763, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 124293, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, <=50K
+44, Private, 36271, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+49, Private, 143459, 9th, 5, Separated, Handlers-cleaners, Own-child, White, Male, 0, 0, 38, United-States, <=50K
+36, Private, 186376, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male, 0, 0, 50, United-States, >50K
+59, Self-emp-inc, 52822, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K
+33, Private, 104509, HS-grad, 9, Divorced, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+36, Private, 184456, Prof-school, 15, Never-married, Exec-managerial, Not-in-family, White, Male, 27828, 0, 50, United-States, >50K
+26, Private, 192302, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 25, United-States, <=50K
+22, Private, 156822, 10th, 6, Never-married, Sales, Not-in-family, White, Female, 0, 1762, 25, United-States, <=50K
+25, Private, 214413, Masters, 14, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 108574, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 15, United-States, <=50K
+41, Private, 223934, Assoc-acdm, 12, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 38, United-States, <=50K
+45, Private, 200559, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 70, United-States, <=50K
+43, Private, 137722, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 261677, 9th, 5, Never-married, Handlers-cleaners, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K
+33, Private, 136331, HS-grad, 9, Married-spouse-absent, Craft-repair, Unmarried, White, Male, 0, 0, 50, United-States, <=50K
+34, Private, 329993, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 91819, Assoc-voc, 11, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+31, Private, 201122, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1902, 45, United-States, >50K
+48, Private, 315423, 5th-6th, 3, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 103277, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+47, Private, 236805, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 60, United-States, <=50K
+27, Private, 74883, Bachelors, 13, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K
+18, Private, 115443, 11th, 7, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K
+43, Private, 150528, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+36, Private, 43701, Some-college, 10, Widowed, Sales, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+37, Federal-gov, 419053, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 183594, Assoc-voc, 11, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+24, Private, 390348, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 36989, Bachelors, 13, Married-civ-spouse, Other-service, Husband, White, Male, 3908, 0, 70, United-States, <=50K
+48, Private, 247895, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, United-States, >50K
+75, Private, 191446, 1st-4th, 2, Married-civ-spouse, Other-service, Other-relative, Black, Female, 0, 0, 16, United-States, <=50K
+43, Self-emp-not-inc, 33521, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 70, United-States, >50K
+64, Private, 46087, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+67, ?, 129188, Doctorate, 16, Married-civ-spouse, ?, Husband, White, Male, 20051, 0, 5, United-States, >50K
+36, Private, 356824, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+53, Private, 158746, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 153323, Some-college, 10, Never-married, Prof-specialty, Not-in-family, Black, Male, 0, 0, 20, United-States, <=50K
+73, Self-emp-not-inc, 130391, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K
+46, Private, 173613, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+45, Private, 362883, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 5013, 0, 40, United-States, <=50K
+43, Private, 182757, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+20, Private, 50397, HS-grad, 9, Never-married, Adm-clerical, Own-child, Black, Male, 0, 0, 20, United-States, <=50K
+43, Federal-gov, 101709, Some-college, 10, Divorced, Handlers-cleaners, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K
+21, Private, 202570, 12th, 8, Never-married, Adm-clerical, Other-relative, Black, Male, 0, 0, 48, ?, <=50K
+40, Private, 145649, HS-grad, 9, Separated, Sales, Unmarried, Black, Female, 0, 0, 25, United-States, <=50K
+36, Private, 136343, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+64, Self-emp-inc, 142166, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+19, ?, 242001, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+46, Private, 127089, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 5178, 0, 38, United-States, >50K
+46, Local-gov, 124071, Masters, 14, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 65, United-States, >50K
+41, Local-gov, 190368, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 70, United-States, <=50K
+29, ?, 19793, Some-college, 10, Divorced, ?, Unmarried, White, Female, 0, 0, 8, United-States, <=50K
+28, Private, 67661, Some-college, 10, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+23, Private, 62278, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K
+30, Federal-gov, 295010, Bachelors, 13, Never-married, Protective-serv, Not-in-family, White, Female, 0, 0, 60, United-States, >50K
+44, Private, 203897, Bachelors, 13, Married-spouse-absent, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, Cuba, <=50K
+27, Private, 265314, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, >50K
+25, Private, 159603, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 34, United-States, <=50K
+29, Private, 134331, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+54, Private, 123011, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Poland, >50K
+27, Private, 274964, Bachelors, 13, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K
+34, Private, 66309, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K
+38, Private, 73471, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K
+24, ?, 26671, HS-grad, 9, Never-married, ?, Other-relative, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K
+56, Private, 357118, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K
+35, Self-emp-inc, 184655, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 62, United-States, <=50K
+23, ?, 55492, Assoc-voc, 11, Never-married, ?, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 30, United-States, <=50K
+23, Private, 175266, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+19, Private, 188008, Some-college, 10, Never-married, Sales, Own-child, Black, Female, 0, 0, 20, United-States, <=50K
+42, Private, 87284, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 35, United-States, >50K
+46, Private, 330087, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 45, United-States, >50K
+48, Self-emp-inc, 56975, HS-grad, 9, Divorced, Sales, Unmarried, Asian-Pac-Islander, Female, 0, 0, 84, ?, <=50K
+27, Private, 150025, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, Puerto-Rico, <=50K
+22, ?, 189203, Assoc-acdm, 12, Never-married, ?, Other-relative, White, Male, 0, 0, 15, United-States, <=50K
+49, Self-emp-inc, 330874, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 70, United-States, >50K
+23, Private, 136824, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+24, Private, 201179, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 324654, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, China, <=50K
+25, Federal-gov, 366207, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+33, Self-emp-not-inc, 103860, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+22, Private, 106700, Assoc-acdm, 12, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 27, United-States, <=50K
+54, Local-gov, 163557, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+39, Self-emp-inc, 286261, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+25, Private, 123083, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+75, Self-emp-inc, 125197, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 26, United-States, <=50K
+28, Self-emp-not-inc, 278073, HS-grad, 9, Never-married, Machine-op-inspct, Other-relative, Black, Male, 0, 0, 30, United-States, <=50K
+50, Private, 133963, Bachelors, 13, Divorced, Sales, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+62, Self-emp-not-inc, 71467, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, >50K
+40, Private, 76487, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+58, Local-gov, 215245, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 37, United-States, <=50K
+24, Federal-gov, 127185, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K
+21, Private, 179720, HS-grad, 9, Never-married, Other-service, Other-relative, White, Female, 0, 0, 30, United-States, <=50K
+40, Private, 88909, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K
+45, Private, 341995, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 42, United-States, >50K
+48, Private, 173938, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K
+34, Private, 344275, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K
+23, Private, 150463, HS-grad, 9, Never-married, Priv-house-serv, Unmarried, Other, Female, 0, 0, 40, Guatemala, <=50K
+43, Local-gov, 209544, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 10520, 0, 50, United-States, >50K
+42, Local-gov, 201723, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+39, Self-emp-not-inc, 343476, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 50, Japan, >50K
+52, Self-emp-inc, 77392, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K
+21, ?, 171156, Some-college, 10, Never-married, ?, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+56, Self-emp-not-inc, 357118, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K
+48, Federal-gov, 167749, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K
+37, Self-emp-not-inc, 352882, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 70, South, >50K
+25, Private, 51201, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K
+40, Private, 365986, Bachelors, 13, Married-civ-spouse, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, >50K
+34, Private, 400416, 11th, 7, Never-married, Machine-op-inspct, Own-child, Black, Male, 0, 0, 45, United-States, <=50K
+52, Private, 31533, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+41, Private, 106900, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 1902, 42, United-States, >50K
+36, Local-gov, 192337, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 118712, Assoc-voc, 11, Never-married, Craft-repair, Own-child, White, Male, 0, 1504, 40, United-States, <=50K
+28, Private, 301654, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+31, Self-emp-not-inc, 145162, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, ?, >50K
+20, Private, 88126, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 9, England, <=50K
+68, Private, 165017, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, Italy, >50K
+35, Private, 238342, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 857532, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+64, Private, 134378, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+17, Private, 260797, 10th, 6, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 23, United-States, <=50K
+25, Private, 138765, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K
+74, ?, 256674, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K
+31, Private, 247444, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Columbia, <=50K
+51, State-gov, 454063, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 40, United-States, >50K
+67, Private, 180539, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 10, United-States, <=50K
+42, Private, 397346, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 3325, 0, 40, United-States, <=50K
+29, Private, 107160, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 262024, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+21, Private, 131230, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 37, United-States, <=50K
+67, Private, 274451, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 16, United-States, <=50K
+41, State-gov, 365986, HS-grad, 9, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+27, Private, 204515, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K
+51, Private, 99316, 12th, 8, Divorced, Transport-moving, Unmarried, White, Male, 0, 0, 50, United-States, <=50K
+21, ?, 206681, 11th, 7, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 40, United-States, <=50K
+28, Private, 268726, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 46, United-States, <=50K
+21, Private, 275395, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 383322, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K
+29, Private, 126822, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 35, United-States, <=50K
+39, Self-emp-inc, 168355, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 70, United-States, <=50K
+21, Private, 162667, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, Columbia, <=50K
+43, Private, 373403, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+44, Self-emp-not-inc, 274562, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 14344, 0, 40, United-States, >50K
+28, Private, 249362, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K
+31, Private, 111567, 9th, 5, Never-married, Sales, Not-in-family, White, Male, 0, 0, 43, United-States, >50K
+18, ?, 216508, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+27, Private, 145784, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, Amer-Indian-Eskimo, Female, 0, 0, 45, United-States, <=50K
+34, State-gov, 209317, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 259505, HS-grad, 9, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 345360, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, England, <=50K
+43, Local-gov, 198096, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 40, United-States, >50K
+40, Self-emp-inc, 33126, Masters, 14, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+21, Private, 206354, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K
+25, Private, 1484705, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 25, United-States, <=50K
+21, Private, 26410, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+19, Self-emp-not-inc, 220901, Some-college, 10, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+49, Self-emp-inc, 44671, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+20, Private, 38620, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+36, Private, 89040, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 47, United-States, <=50K
+32, Private, 370160, Some-college, 10, Separated, Exec-managerial, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+23, Private, 208946, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 32, United-States, <=50K
+21, Private, 131230, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 10, United-States, <=50K
+25, Private, 60358, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 350853, 5th-6th, 3, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, ?, <=50K
+24, Private, 209782, Bachelors, 13, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+22, Private, 351952, Some-college, 10, Never-married, Prof-specialty, Unmarried, White, Female, 0, 0, 20, United-States, <=50K
+26, Private, 142081, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, Mexico, <=50K
+22, Private, 164775, 9th, 5, Never-married, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, Guatemala, <=50K
+41, Local-gov, 47858, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K
+18, Private, 404085, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K
+24, Private, 218678, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 184655, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1740, 48, United-States, <=50K
+36, Private, 321760, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 17, United-States, <=50K
+45, Local-gov, 185399, Masters, 14, Divorced, Prof-specialty, Own-child, White, Female, 0, 0, 55, United-States, <=50K
+38, Local-gov, 409200, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K
+38, Private, 40077, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K
+34, Self-emp-not-inc, 31740, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+53, Local-gov, 233722, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+32, Private, 192039, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K
+17, Private, 222618, 11th, 7, Never-married, Sales, Own-child, Black, Female, 0, 0, 30, United-States, <=50K
+45, State-gov, 213646, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 40, United-States, >50K
+31, Local-gov, 194141, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 48, United-States, <=50K
+47, State-gov, 80282, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K
+27, Private, 166350, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+61, Federal-gov, 60641, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 30, United-States, <=50K
+33, Private, 124827, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+67, Private, 105438, HS-grad, 9, Separated, Machine-op-inspct, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+38, Private, 85244, Bachelors, 13, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 120535, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+33, Local-gov, 269604, 5th-6th, 3, Never-married, Other-service, Unmarried, Other, Female, 0, 0, 40, El-Salvador, <=50K
+27, Private, 247711, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K
+45, Private, 380922, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, >50K
+24, Private, 281221, Bachelors, 13, Never-married, Adm-clerical, Other-relative, Asian-Pac-Islander, Female, 0, 0, 40, Taiwan, <=50K
+23, Private, 269687, Assoc-voc, 11, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+48, Private, 181758, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+61, Federal-gov, 136787, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+22, Private, 107882, HS-grad, 9, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+34, Private, 172579, Assoc-voc, 11, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+32, Private, 29933, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 5178, 0, 40, United-States, >50K
+35, Federal-gov, 38905, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+36, Private, 168826, 10th, 6, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 424034, HS-grad, 9, Never-married, Exec-managerial, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+60, Private, 117509, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+28, ?, 196971, Bachelors, 13, Never-married, ?, Not-in-family, White, Female, 0, 0, 43, United-States, <=50K
+64, Private, 69525, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 20, United-States, <=50K
+22, Private, 374116, HS-grad, 9, Never-married, Sales, Unmarried, White, Female, 0, 0, 35, United-States, <=50K
+27, Private, 283913, 5th-6th, 3, Never-married, Priv-house-serv, Not-in-family, White, Female, 0, 0, 65, England, <=50K
+36, State-gov, 147258, Some-college, 10, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+27, Private, 139903, HS-grad, 9, Never-married, Sales, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K
+52, Private, 112959, Some-college, 10, Widowed, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+57, Self-emp-not-inc, 264148, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 45, United-States, <=50K
+23, Private, 256211, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 24, Vietnam, <=50K
+29, Self-emp-not-inc, 142519, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 281852, HS-grad, 9, Never-married, Transport-moving, Not-in-family, Black, Male, 0, 0, 80, United-States, <=50K
+38, Private, 380543, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K
+50, Self-emp-not-inc, 204402, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 84, United-States, >50K
+50, Private, 192203, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+51, Self-emp-not-inc, 199005, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K
+17, Self-emp-inc, 61838, 10th, 6, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 210095, 11th, 7, Married-spouse-absent, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 40, Mexico, <=50K
+19, Private, 187352, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+43, Self-emp-not-inc, 32451, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+59, Private, 140569, Some-college, 10, Separated, Sales, Not-in-family, White, Male, 14084, 0, 60, United-States, >50K
+39, Private, 87556, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 6849, 0, 40, United-States, <=50K
+18, Private, 79443, 9th, 5, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, Mexico, <=50K
+27, Private, 212622, Masters, 14, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+39, Private, 32650, Assoc-voc, 11, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+44, Private, 125461, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+19, Private, 219867, HS-grad, 9, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 35, United-States, <=50K
+32, Local-gov, 206609, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+48, Private, 101299, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+46, Private, 29437, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K
+65, Private, 87164, 11th, 7, Widowed, Sales, Other-relative, White, Female, 0, 0, 20, United-States, <=50K
+57, Self-emp-inc, 146103, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K
+48, Private, 169324, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 32, Haiti, <=50K
+46, Private, 138370, 7th-8th, 4, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 1651, 40, China, <=50K
+27, Private, 29523, 10th, 6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+29, Local-gov, 383745, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 1485, 40, United-States, >50K
+21, ?, 247075, HS-grad, 9, Never-married, ?, Unmarried, Black, Female, 0, 0, 25, United-States, <=50K
+20, ?, 200967, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 12, United-States, <=50K
+51, ?, 175985, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+35, Self-emp-inc, 189404, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 1740, 40, United-States, <=50K
+29, Self-emp-not-inc, 267661, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 70, United-States, <=50K
+30, Local-gov, 182926, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 15024, 0, 40, United-States, >50K
+65, Private, 243858, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K
+20, ?, 43587, HS-grad, 9, Married-spouse-absent, ?, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+47, Federal-gov, 31339, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+41, Private, 204682, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 2174, 0, 40, Japan, <=50K
+17, Private, 73145, 9th, 5, Never-married, Craft-repair, Own-child, White, Female, 0, 0, 16, United-States, <=50K
+38, Local-gov, 218184, 5th-6th, 3, Married-civ-spouse, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K
+38, Local-gov, 223237, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+39, Self-emp-not-inc, 93319, HS-grad, 9, Never-married, Sales, Other-relative, White, Female, 0, 0, 4, United-States, <=50K
+24, ?, 212300, HS-grad, 9, Separated, ?, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K
+52, Private, 187356, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 41, United-States, <=50K
+46, Self-emp-not-inc, 220832, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 58, United-States, >50K
+22, Private, 211361, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+56, Private, 134195, Masters, 14, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+37, Self-emp-not-inc, 218249, 11th, 7, Divorced, Prof-specialty, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K
+59, Private, 70720, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 0, 0, 55, United-States, >50K
+19, Self-emp-not-inc, 342384, 11th, 7, Married-civ-spouse, Craft-repair, Own-child, White, Male, 0, 2129, 55, United-States, <=50K
+31, Private, 237317, 9th, 5, Never-married, Craft-repair, Not-in-family, Other, Male, 0, 0, 45, United-States, <=50K
+22, Private, 359759, Some-college, 10, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 20, Philippines, <=50K
+48, Self-emp-not-inc, 181758, Doctorate, 16, Never-married, Prof-specialty, Unmarried, White, Female, 0, 0, 60, United-States, >50K
+63, Self-emp-inc, 267101, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K
+33, Private, 222221, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 45, United-States, >50K
+53, Private, 55139, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 10, United-States, <=50K
+38, Private, 220237, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, ?, >50K
+39, Private, 101073, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 24, United-States, <=50K
+59, Private, 69884, Prof-school, 15, Married-spouse-absent, Prof-specialty, Unmarried, White, Male, 0, 0, 50, United-States, <=50K
+45, Private, 201127, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+39, Private, 164733, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+60, State-gov, 129447, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+38, Private, 32837, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 56, United-States, <=50K
+31, Private, 200117, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+61, Self-emp-not-inc, 219183, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+66, ?, 188842, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 24, United-States, <=50K
+26, Private, 272669, Bachelors, 13, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 20, South, <=50K
+60, Self-emp-inc, 336188, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2415, 80, United-States, >50K
+68, ?, 191288, 7th-8th, 4, Widowed, ?, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K
+32, Private, 176185, Some-college, 10, Divorced, Exec-managerial, Other-relative, White, Male, 0, 0, 60, United-States, <=50K
+25, Local-gov, 197728, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+43, Local-gov, 144778, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, ?, <=50K
+26, ?, 133373, Bachelors, 13, Never-married, ?, Own-child, White, Male, 0, 0, 44, United-States, <=50K
+55, Private, 197399, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 55, United-States, >50K
+66, Private, 86010, 10th, 6, Widowed, Transport-moving, Not-in-family, White, Female, 0, 0, 11, United-States, <=50K
+31, Private, 228873, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 187415, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male, 0, 0, 50, ?, <=50K
+58, Self-emp-inc, 112945, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 27828, 0, 40, United-States, >50K
+56, Private, 98361, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, ?, >50K
+22, Private, 129172, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 16, United-States, <=50K
+46, Local-gov, 316205, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, United-States, >50K
+33, Private, 226629, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 35, United-States, <=50K
+26, State-gov, 180886, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 30, United-States, <=50K
+42, Self-emp-not-inc, 69333, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K
+45, Private, 213620, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+43, Private, 197397, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, Other, Female, 0, 0, 6, Puerto-Rico, <=50K
+19, Private, 223648, 11th, 7, Never-married, Sales, Own-child, White, Male, 0, 0, 20, ?, <=50K
+27, Private, 179915, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 99, United-States, <=50K
+51, Private, 339905, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 40, United-States, >50K
+42, Private, 112956, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+43, Self-emp-not-inc, 421837, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 7298, 0, 50, Mexico, >50K
+38, Private, 187999, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 45, United-States, >50K
+44, Private, 77313, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+36, Private, 231948, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 64, United-States, >50K
+37, Private, 37109, HS-grad, 9, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female, 0, 0, 60, Philippines, <=50K
+29, Private, 79387, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, >50K
+53, ?, 133963, HS-grad, 9, Divorced, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+42, Self-emp-not-inc, 177937, Bachelors, 13, Married-spouse-absent, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, Poland, <=50K
+80, Private, 173488, Some-college, 10, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+61, Private, 183355, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+55, Private, 147989, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 5013, 0, 52, United-States, <=50K
+20, Private, 289944, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+23, Private, 62278, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+48, Federal-gov, 110457, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+24, Private, 295763, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 50, United-States, <=50K
+71, State-gov, 100063, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+49, Private, 194962, 11th, 7, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 6, United-States, <=50K
+39, Federal-gov, 227597, HS-grad, 9, Never-married, Armed-Forces, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+22, Private, 117606, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+67, Federal-gov, 44774, Bachelors, 13, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+18, Private, 177648, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+38, Private, 172571, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1848, 54, United-States, >50K
+38, ?, 203482, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 45, United-States, <=50K
+50, Private, 153931, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+56, Self-emp-not-inc, 84774, Assoc-acdm, 12, Married-civ-spouse, Farming-fishing, Wife, White, Female, 0, 0, 40, United-States, <=50K
+23, Private, 157127, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+26, Private, 170786, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 281030, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+44, Private, 203761, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 10520, 0, 40, United-States, >50K
+27, Private, 167405, HS-grad, 9, Married-spouse-absent, Farming-fishing, Own-child, White, Female, 0, 0, 40, Mexico, <=50K
+40, Local-gov, 188436, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 7298, 0, 40, United-States, >50K
+43, Private, 388849, Assoc-acdm, 12, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 60, United-States, <=50K
+31, State-gov, 176998, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, >50K
+57, Private, 200316, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+25, Private, 160300, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+22, Private, 236684, Assoc-voc, 11, Never-married, Other-service, Own-child, Black, Female, 0, 0, 36, United-States, <=50K
+20, Local-gov, 247794, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+27, Private, 267325, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 3464, 0, 40, United-States, <=50K
+39, Private, 279490, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K
+27, State-gov, 280618, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+41, Local-gov, 248406, HS-grad, 9, Separated, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+31, Local-gov, 226494, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+41, Private, 220460, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 20, United-States, <=50K
+25, Private, 108317, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+29, State-gov, 147256, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, Black, Male, 0, 0, 40, United-States, >50K
+22, Private, 110371, HS-grad, 9, Married-civ-spouse, Other-service, Own-child, White, Male, 0, 0, 50, United-States, <=50K
+62, Private, 114060, 7th-8th, 4, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 91, United-States, <=50K
+29, Federal-gov, 31161, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, Other, Female, 0, 0, 40, United-States, <=50K
+44, Private, 105862, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 70, United-States, >50K
+32, Private, 402089, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 2, United-States, <=50K
+19, ?, 425447, HS-grad, 9, Never-married, ?, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+20, Private, 137300, Assoc-voc, 11, Never-married, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+65, State-gov, 326691, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, >50K
+24, Private, 275093, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K
+37, Self-emp-not-inc, 112497, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+43, Local-gov, 174491, HS-grad, 9, Divorced, Tech-support, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+38, Self-emp-not-inc, 114835, Bachelors, 13, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 60, United-States, >50K
+28, Private, 137898, Assoc-acdm, 12, Never-married, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+33, Private, 153151, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 4416, 0, 40, United-States, <=50K
+32, Private, 134886, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K
+38, Private, 193815, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+33, Private, 237833, Some-college, 10, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+42, Self-emp-not-inc, 101593, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K
+27, Private, 164924, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+41, Private, 174201, HS-grad, 9, Divorced, Handlers-cleaners, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+47, Local-gov, 36169, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K
+55, Private, 144071, 11th, 7, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K
+30, Self-emp-not-inc, 180859, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 8, United-States, <=50K
+54, Private, 221915, Some-college, 10, Widowed, Craft-repair, Unmarried, White, Female, 0, 0, 50, United-States, <=50K
+40, Private, 26892, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+21, Private, 351084, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+34, Private, 97306, Bachelors, 13, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 25, United-States, <=50K
+30, Private, 185027, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+31, Private, 182539, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+22, Private, 215395, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 37, United-States, <=50K
+37, Private, 186434, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, United-States, >50K
+41, ?, 217921, 9th, 5, Married-civ-spouse, ?, Wife, Asian-Pac-Islander, Female, 0, 0, 40, Hong, <=50K
+52, Local-gov, 346668, Masters, 14, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+57, Self-emp-inc, 412952, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+48, Private, 167009, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K
+58, Private, 316000, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+35, Self-emp-not-inc, 216256, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+40, Private, 341835, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+30, Private, 169841, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K
+26, Self-emp-not-inc, 200681, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, Outlying-US(Guam-USVI-etc), <=50K
+46, Self-emp-not-inc, 456956, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K
+26, Federal-gov, 276075, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+50, Federal-gov, 96657, Bachelors, 13, Divorced, Prof-specialty, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+22, Private, 374313, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K
+36, Private, 110998, Masters, 14, Widowed, Tech-support, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, India, <=50K
+30, Private, 53285, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 52, United-States, >50K
+58, Private, 104613, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+17, ?, 303317, 11th, 7, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+72, Private, 298070, Assoc-voc, 11, Separated, Other-service, Unmarried, White, Female, 6723, 0, 25, United-States, <=50K
+19, Private, 318822, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+29, Private, 375078, 7th-8th, 4, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, Mexico, <=50K
+20, ?, 232799, HS-grad, 9, Never-married, ?, Own-child, Black, Female, 0, 0, 25, United-States, <=50K
+30, Private, 210851, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+47, Self-emp-not-inc, 213745, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 45, United-States, <=50K
+51, Private, 204447, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K
+26, Private, 318934, 10th, 6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 237386, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K
+44, Private, 182629, Masters, 14, Divorced, Sales, Not-in-family, White, Male, 0, 0, 24, Iran, <=50K
+43, Private, 144778, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+35, Private, 117166, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+51, Private, 237630, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 7298, 0, 50, United-States, >50K
+41, Private, 171550, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+38, Private, 165302, Some-college, 10, Divorced, Adm-clerical, Unmarried, Other, Female, 0, 0, 40, United-States, <=50K
+39, State-gov, 42186, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female, 3464, 0, 20, United-States, <=50K
+54, Private, 284952, 10th, 6, Separated, Sales, Unmarried, White, Female, 0, 0, 43, Italy, <=50K
+62, Private, 96099, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+45, Private, 198759, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K
+30, Private, 227886, HS-grad, 9, Never-married, Exec-managerial, Own-child, Black, Female, 0, 0, 35, Jamaica, <=50K
+32, Private, 391874, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+23, Self-emp-not-inc, 184370, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+84, Local-gov, 135839, Assoc-voc, 11, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 14, United-States, <=50K
+46, Private, 194698, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 60, United-States, <=50K
+67, Local-gov, 342175, Masters, 14, Divorced, Adm-clerical, Not-in-family, White, Female, 2009, 0, 40, United-States, <=50K
+29, Private, 67218, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+33, Private, 205152, Assoc-voc, 11, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 55, United-States, >50K
+23, Private, 434467, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 42, United-States, <=50K
+63, ?, 110150, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 55, United-States, >50K
+55, ?, 123382, HS-grad, 9, Separated, ?, Not-in-family, Black, Female, 0, 2001, 40, United-States, <=50K
+42, State-gov, 404573, Prof-school, 15, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+17, Private, 99462, 11th, 7, Never-married, Other-service, Own-child, Amer-Indian-Eskimo, Female, 0, 0, 20, United-States, <=50K
+60, Private, 170310, 5th-6th, 3, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 199883, 12th, 8, Divorced, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 70034, 7th-8th, 4, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, Portugal, <=50K
+31, Private, 393357, 9th, 5, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 48, United-States, <=50K
+65, ?, 249043, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 10605, 0, 40, United-States, >50K
+31, Private, 72630, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 14084, 0, 50, United-States, >50K
+61, Private, 223133, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+43, State-gov, 345969, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+40, State-gov, 195520, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 49, United-States, <=50K
+39, Private, 257942, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+37, Local-gov, 269300, Some-college, 10, Married-spouse-absent, Adm-clerical, Unmarried, Black, Female, 0, 0, 27, United-States, <=50K
+47, Private, 137354, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K
+45, Federal-gov, 232997, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 65, United-States, >50K
+30, Private, 77266, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K
+30, Self-emp-not-inc, 164190, Prof-school, 15, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+49, Private, 153536, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Male, 14084, 0, 44, United-States, >50K
+51, Local-gov, 26832, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+31, Private, 188096, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 72, United-States, >50K
+48, Self-emp-inc, 369522, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 25, United-States, >50K
+20, Private, 110998, Some-college, 10, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female, 0, 0, 30, United-States, <=50K
+32, Private, 205152, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 3103, 0, 40, United-States, >50K
+31, ?, 163890, Some-college, 10, Never-married, ?, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+19, Private, 358631, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K
+50, Private, 185354, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+33, Private, 336061, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K
+25, ?, 47011, Bachelors, 13, Never-married, ?, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+49, Private, 149949, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 1876, 40, United-States, <=50K
+30, Private, 59496, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 32950, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+44, Private, 109912, Doctorate, 16, Married-civ-spouse, Exec-managerial, Wife, White, Female, 15024, 0, 32, United-States, >50K
+24, Private, 199555, Assoc-voc, 11, Never-married, Sales, Unmarried, White, Male, 0, 0, 5, United-States, <=50K
+28, Private, 91299, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 45, United-States, <=50K
+56, Private, 99359, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 1617, 40, United-States, <=50K
+38, Private, 242559, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K
+20, Private, 286391, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 2176, 0, 20, United-States, <=50K
+82, Private, 132870, HS-grad, 9, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 4356, 18, United-States, <=50K
+52, Federal-gov, 22428, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 60, United-States, >50K
+32, Private, 239150, Some-college, 10, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+37, Private, 170563, Assoc-voc, 11, Separated, Prof-specialty, Unmarried, White, Female, 0, 0, 32, United-States, <=50K
+36, Private, 173542, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+39, Private, 286026, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+30, Private, 72887, HS-grad, 9, Married-civ-spouse, Craft-repair, Own-child, Asian-Pac-Islander, Male, 3411, 0, 40, United-States, <=50K
+49, Local-gov, 163229, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 56, United-States, <=50K
+40, Local-gov, 165726, Assoc-voc, 11, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+42, Private, 70055, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K
+35, Private, 184655, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+39, Private, 139906, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 81, United-States, <=50K
+32, Local-gov, 198211, Assoc-voc, 11, Married-spouse-absent, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 146540, 11th, 7, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+53, Local-gov, 132304, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+25, Private, 190916, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+17, Never-worked, 237272, 10th, 6, Never-married, ?, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+44, Private, 755858, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 70, United-States, >50K
+52, Private, 127315, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+42, State-gov, 304302, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K
+34, Private, 184942, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K
+27, Private, 267989, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 188377, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+39, State-gov, 221059, Masters, 14, Married-civ-spouse, Prof-specialty, Other-relative, Other, Female, 7688, 0, 38, United-States, >50K
+26, Private, 340787, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+48, Private, 140782, Masters, 14, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 1902, 38, United-States, >50K
+57, Private, 169071, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 28, United-States, <=50K
+36, Self-emp-not-inc, 151094, Assoc-voc, 11, Separated, Exec-managerial, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K
+27, Private, 122922, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+17, Private, 151141, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 15, United-States, <=50K
+30, Private, 136651, 5th-6th, 3, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+37, Private, 177285, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 48, United-States, >50K
+31, Local-gov, 128016, Bachelors, 13, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+23, Private, 200318, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+32, Private, 250354, 10th, 6, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 45, United-States, <=50K
+58, Private, 191069, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+31, Private, 27856, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 8, United-States, <=50K
+44, Private, 523484, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, United-States, >50K
+39, Federal-gov, 257175, Bachelors, 13, Divorced, Tech-support, Unmarried, Black, Female, 0, 625, 40, United-States, <=50K
+59, Private, 174864, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1485, 45, United-States, >50K
+42, Private, 196029, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 48, United-States, >50K
+45, Private, 200471, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 35, United-States, <=50K
+20, Private, 353195, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+35, Private, 222868, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+50, Private, 221791, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+56, Private, 197114, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 28, United-States, <=50K
+48, Private, 160220, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+58, Self-emp-not-inc, 274917, Masters, 14, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K
+32, Private, 348460, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+23, Private, 112683, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 12, United-States, <=50K
+48, Private, 345831, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 105370, HS-grad, 9, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K
+48, Private, 345006, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, Mexico, <=50K
+55, Private, 195329, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 2202, 0, 35, Italy, <=50K
+40, Local-gov, 108765, Assoc-voc, 11, Never-married, Exec-managerial, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K
+50, Private, 138022, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+52, Self-emp-not-inc, 175029, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K
+19, Private, 189574, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+55, Self-emp-not-inc, 141409, 10th, 6, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 50, United-States, >50K
+36, Self-emp-not-inc, 186035, Prof-school, 15, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 30, United-States, >50K
+39, Private, 165235, Bachelors, 13, Separated, Prof-specialty, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, >50K
+22, Private, 105043, Some-college, 10, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+44, Private, 230684, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 50, United-States, >50K
+34, Private, 345705, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 1408, 38, United-States, <=50K
+33, Private, 248584, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 50, United-States, <=50K
+55, Private, 436861, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 14084, 0, 40, United-States, >50K
+35, Private, 200153, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+50, Private, 398625, 11th, 7, Widowed, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+43, Private, 114043, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+29, Private, 169544, Assoc-voc, 11, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+56, Private, 343849, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+33, Private, 162572, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 40, United-States, >50K
+24, Private, 291578, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K
+46, Private, 136162, Assoc-voc, 11, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+60, Self-emp-inc, 376133, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 15024, 0, 15, United-States, >50K
+48, Self-emp-inc, 302612, Masters, 14, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+65, Local-gov, 240166, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 35, United-States, <=50K
+29, Private, 193152, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 1408, 40, United-States, <=50K
+42, Private, 248094, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1740, 43, United-States, <=50K
+44, Private, 119281, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+73, Self-emp-not-inc, 300404, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 6, United-States, >50K
+21, Private, 82847, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+32, Self-emp-inc, 161153, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 1902, 55, United-States, >50K
+43, Federal-gov, 287008, Masters, 14, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 35, United-States, >50K
+21, Private, 654141, HS-grad, 9, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 32, United-States, <=50K
+30, Private, 252646, Some-college, 10, Separated, Transport-moving, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K
+54, Private, 171924, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 48, United-States, <=50K
+19, Private, 219742, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+55, State-gov, 153788, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 37, United-States, <=50K
+20, Private, 60639, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 28, United-States, <=50K
+53, Private, 96062, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, Greece, <=50K
+51, Private, 165614, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 55, United-States, >50K
+33, Private, 159888, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+62, Private, 110586, Some-college, 10, Widowed, Priv-house-serv, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+24, Self-emp-not-inc, 143062, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+17, Self-emp-inc, 413557, 9th, 5, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+26, Private, 137658, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+36, Private, 398931, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 311764, 10th, 6, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 35, United-States, <=50K
+58, Private, 98725, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+38, Private, 140854, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K
+72, Private, 97304, HS-grad, 9, Married-spouse-absent, Machine-op-inspct, Unmarried, White, Male, 2346, 0, 40, ?, <=50K
+26, Federal-gov, 352768, HS-grad, 9, Divorced, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+45, ?, 27184, HS-grad, 9, Widowed, ?, Unmarried, White, Female, 0, 0, 38, United-States, <=50K
+72, ?, 237229, Assoc-voc, 11, Widowed, ?, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+60, Private, 142494, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 40, United-States, >50K
+27, Private, 210313, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, Guatemala, <=50K
+38, Private, 194538, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, >50K
+37, Self-emp-inc, 26698, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 1485, 44, United-States, >50K
+28, Private, 211032, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+38, Self-emp-inc, 107909, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+29, Private, 136077, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K
+19, Private, 184737, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 1721, 40, United-States, <=50K
+28, Private, 214689, Bachelors, 13, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 25, United-States, <=50K
+70, ?, 147558, Bachelors, 13, Divorced, ?, Not-in-family, White, Female, 0, 0, 7, United-States, <=50K
+40, Self-emp-not-inc, 93793, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K
+26, Private, 247025, Assoc-voc, 11, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+43, Private, 284403, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 60, United-States, <=50K
+29, Private, 221977, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K
+25, Federal-gov, 339956, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+29, Private, 161097, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, >50K
+60, Private, 223696, 1st-4th, 2, Divorced, Craft-repair, Not-in-family, Other, Male, 0, 0, 38, Dominican-Republic, <=50K
+31, Private, 234500, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K
+51, Local-gov, 97005, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+18, Private, 242615, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+36, Private, 174938, Bachelors, 13, Divorced, Tech-support, Unmarried, White, Male, 0, 0, 20, United-States, <=50K
+35, Private, 160120, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, >50K
+48, Private, 193775, Bachelors, 13, Divorced, Adm-clerical, Own-child, White, Male, 0, 0, 38, United-States, >50K
+78, Self-emp-not-inc, 59583, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 25, United-States, <=50K
+72, Private, 157913, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 17, United-States, <=50K
+24, Private, 308205, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+58, ?, 158506, 11th, 7, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 16, United-States, <=50K
+36, Private, 201769, 11th, 7, Never-married, Protective-serv, Not-in-family, Black, Male, 13550, 0, 40, United-States, >50K
+48, Private, 330470, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 30, United-States, <=50K
+28, Private, 184078, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+26, Private, 123384, Masters, 14, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+29, Private, 330132, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K
+47, Private, 274720, 5th-6th, 3, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, Jamaica, <=50K
+50, Private, 129673, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, >50K
+35, Federal-gov, 205584, 5th-6th, 3, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K
+17, Private, 327127, 11th, 7, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+41, Private, 225892, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, >50K
+37, Private, 224886, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 42, United-States, <=50K
+35, Local-gov, 27763, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K
+56, Private, 73684, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Portugal, <=50K
+23, Private, 107452, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 23871, Assoc-acdm, 12, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 32, United-States, <=50K
+79, Self-emp-inc, 309272, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+28, Private, 469864, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+55, Private, 286230, 11th, 7, Divorced, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+59, State-gov, 186308, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K
+22, Private, 113062, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+19, Private, 86150, 11th, 7, Never-married, Sales, Own-child, Asian-Pac-Islander, Female, 0, 0, 19, Philippines, <=50K
+41, Private, 262038, 5th-6th, 3, Married-spouse-absent, Farming-fishing, Not-in-family, White, Male, 0, 0, 35, Mexico, <=50K
+32, Private, 279231, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, Italy, <=50K
+67, ?, 188903, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 2414, 0, 40, United-States, <=50K
+45, Private, 183786, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 35, United-States, <=50K
+61, Private, 339358, 5th-6th, 3, Married-civ-spouse, Farming-fishing, Other-relative, White, Female, 0, 0, 45, Mexico, <=50K
+34, Private, 287737, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+43, Self-emp-not-inc, 99203, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 297449, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 7298, 0, 50, United-States, >50K
+35, Private, 113481, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K
+65, Private, 204042, HS-grad, 9, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K
+24, Private, 43387, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, England, >50K
+37, Private, 99233, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+34, Self-emp-not-inc, 313729, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K
+42, Private, 99679, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, >50K
+18, Private, 169745, 7th-8th, 4, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+43, Federal-gov, 19914, Some-college, 10, Widowed, Exec-managerial, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 15, United-States, <=50K
+31, Private, 113543, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, >50K
+19, Private, 224241, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+40, Self-emp-inc, 137367, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 50, China, <=50K
+32, Private, 263908, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+47, Private, 280798, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+32, Local-gov, 203849, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+46, Self-emp-inc, 62546, Doctorate, 16, Separated, Prof-specialty, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+40, Private, 197344, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 65, United-States, >50K
+36, Private, 93225, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+33, Private, 187560, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 36, United-States, <=50K
+23, State-gov, 61743, 5th-6th, 3, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+21, Private, 186648, 10th, 6, Separated, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 173321, HS-grad, 9, Married-civ-spouse, Other-service, Wife, Black, Female, 0, 0, 32, United-States, <=50K
+53, State-gov, 246820, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+20, ?, 424034, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 15, United-States, <=50K
+53, Self-emp-not-inc, 291755, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 72, United-States, <=50K
+58, Private, 104945, 9th, 5, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 60, United-States, <=50K
+51, Private, 85423, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K
+31, Private, 214235, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 65, United-States, <=50K
+35, Self-emp-not-inc, 278632, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+23, ?, 27415, 11th, 7, Never-married, ?, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K
+31, Local-gov, 143392, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+21, Private, 277408, Some-college, 10, Never-married, Other-service, Unmarried, White, Female, 0, 0, 35, United-States, <=50K
+39, Self-emp-not-inc, 336793, Masters, 14, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, >50K
+36, Private, 184112, Prof-school, 15, Married-civ-spouse, Prof-specialty, Wife, White, Female, 15024, 0, 45, United-States, >50K
+51, Private, 74660, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+18, Private, 395026, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 12, United-States, <=50K
+32, Private, 171215, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K
+56, Private, 121362, Bachelors, 13, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K
+35, Private, 409200, Assoc-acdm, 12, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+63, Private, 268965, 12th, 8, Widowed, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+61, Private, 136262, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+23, Private, 141323, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+52, Local-gov, 108083, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+19, Private, 82210, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+33, State-gov, 400943, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+35, Private, 308489, Bachelors, 13, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 50, United-States, <=50K
+35, Private, 187053, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Female, 0, 0, 60, United-States, >50K
+38, Private, 75826, Prof-school, 15, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, <=50K
+23, Private, 413345, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K
+22, Private, 356567, Assoc-voc, 11, Divorced, Tech-support, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+20, Private, 223811, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+19, Private, 159313, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+47, Private, 250170, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, >50K
+59, Private, 135617, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 187346, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+36, Private, 108103, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 50, United-States, <=50K
+27, Private, 255476, 5th-6th, 3, Never-married, Other-service, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K
+24, Private, 68577, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 155961, HS-grad, 9, Never-married, Other-service, Own-child, Black, Female, 0, 0, 35, Jamaica, <=50K
+22, State-gov, 264102, Some-college, 10, Never-married, Other-service, Other-relative, Black, Male, 0, 0, 39, Haiti, <=50K
+37, Private, 167777, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 52, United-States, <=50K
+36, Private, 225399, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 40, United-States, >50K
+28, Private, 199998, HS-grad, 9, Separated, Other-service, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K
+55, Private, 199856, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 50, United-States, <=50K
+29, ?, 189765, 5th-6th, 3, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 40, United-States, <=50K
+32, Private, 193042, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 44, United-States, <=50K
+66, ?, 222810, Some-college, 10, Divorced, ?, Other-relative, White, Female, 0, 0, 35, United-States, <=50K
+47, Local-gov, 162595, Some-college, 10, Married-spouse-absent, Craft-repair, Other-relative, White, Male, 0, 0, 45, United-States, <=50K
+23, Private, 208826, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+50, Local-gov, 120190, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+40, Self-emp-not-inc, 27242, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 84, United-States, <=50K
+51, Private, 348099, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 1590, 40, United-States, <=50K
+34, Private, 185041, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 1669, 45, United-States, <=50K
+28, Private, 309196, Bachelors, 13, Never-married, Protective-serv, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+52, State-gov, 254285, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1887, 70, Germany, >50K
+39, Self-emp-inc, 336226, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 3103, 0, 60, United-States, >50K
+43, Private, 240698, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+36, Private, 411797, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 35, United-States, >50K
+25, Private, 178843, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+42, Private, 136177, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 38, United-States, <=50K
+35, Private, 243409, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, Germany, <=50K
+43, Private, 258049, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 53, United-States, >50K
+34, Private, 164748, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+50, State-gov, 24185, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 38, United-States, >50K
+30, Private, 167476, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K
+44, Private, 106900, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 44, United-States, >50K
+52, Private, 53497, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 335704, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K
+36, Private, 211022, Assoc-voc, 11, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+30, Private, 163003, Bachelors, 13, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Female, 0, 0, 52, Taiwan, <=50K
+36, Self-emp-inc, 77146, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 45, United-States, >50K
+39, Private, 67433, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+25, Private, 458549, 1st-4th, 2, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 96, Mexico, <=50K
+26, Private, 190469, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 195411, HS-grad, 9, Never-married, Sales, Own-child, Black, Female, 0, 0, 20, United-States, <=50K
+20, Private, 216889, Some-college, 10, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+70, ?, 336007, 5th-6th, 3, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 20, United-States, <=50K
+26, Private, 167350, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 50, United-States, <=50K
+24, Private, 241857, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 35, United-States, <=50K
+48, Private, 125892, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K
+62, Private, 272209, HS-grad, 9, Divorced, Priv-house-serv, Unmarried, Black, Female, 0, 0, 99, United-States, <=50K
+48, Private, 175221, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+52, Private, 180195, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+25, Private, 38090, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 44, United-States, <=50K
+58, Private, 310085, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+40, Federal-gov, 118686, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+29, ?, 112963, Some-college, 10, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 40, United-States, <=50K
+45, Self-emp-inc, 120131, 7th-8th, 4, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 52, ?, <=50K
+19, Private, 43937, Some-college, 10, Never-married, Other-service, Other-relative, White, Female, 0, 0, 20, United-States, <=50K
+37, Private, 210438, 11th, 7, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+23, Private, 176724, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Puerto-Rico, <=50K
+31, Self-emp-not-inc, 113364, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+64, Self-emp-not-inc, 73986, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 20, United-States, <=50K
+28, Local-gov, 197932, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 16, United-States, <=50K
+32, Private, 193285, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+49, Local-gov, 223342, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 44, United-States, <=50K
+35, Private, 49749, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, >50K
+19, ?, 211553, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+45, Private, 201865, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+39, Private, 322143, 12th, 8, Married-civ-spouse, Transport-moving, Husband, White, Male, 15024, 0, 70, United-States, >50K
+55, Private, 158702, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 2339, 45, ?, <=50K
+46, Self-emp-not-inc, 275625, Bachelors, 13, Divorced, Other-service, Unmarried, Asian-Pac-Islander, Female, 0, 0, 60, South, >50K
+19, Private, 206599, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 16, United-States, <=50K
+29, Private, 89813, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, Scotland, <=50K
+25, State-gov, 156848, HS-grad, 9, Married-civ-spouse, Protective-serv, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+37, Private, 162494, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+30, Private, 205407, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 375313, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K
+36, Federal-gov, 930948, Some-college, 10, Separated, Adm-clerical, Unmarried, Black, Female, 6497, 0, 56, United-States, <=50K
+32, Private, 127895, Some-college, 10, Never-married, Exec-managerial, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K
+34, Private, 248754, 11th, 7, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 188096, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K
+20, Private, 216811, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+27, Self-emp-inc, 113870, Masters, 14, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+36, Federal-gov, 343052, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K
+35, Private, 280966, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 42044, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+32, Private, 309513, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+32, Private, 163604, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+52, Private, 224198, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K
+50, Private, 338283, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+23, Private, 242375, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+25, Private, 81286, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+21, Private, 243368, Preschool, 1, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 50, Mexico, <=50K
+31, Private, 217803, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K
+31, Self-emp-not-inc, 323020, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 30, United-States, <=50K
+41, Private, 34278, Assoc-voc, 11, Separated, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+47, Private, 184579, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 60, United-States, <=50K
+20, ?, 210781, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 10, United-States, <=50K
+20, Private, 142673, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+29, Private, 131714, 10th, 6, Divorced, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 25, United-States, <=50K
+51, Local-gov, 74784, Some-college, 10, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+30, Local-gov, 181372, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 33, United-States, >50K
+23, ?, 62507, Some-college, 10, Never-married, ?, Not-in-family, White, Female, 0, 0, 12, United-States, <=50K
+48, Private, 155664, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 35, United-States, >50K
+39, Private, 174924, HS-grad, 9, Separated, Exec-managerial, Not-in-family, White, Male, 14344, 0, 40, United-States, >50K
+62, Private, 113440, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 35, United-States, <=50K
+22, Private, 147227, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+46, Federal-gov, 207022, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 40, United-States, >50K
+51, Local-gov, 123011, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 35, United-States, >50K
+20, Private, 184678, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K
+40, Self-emp-inc, 182437, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 50, United-States, >50K
+31, Private, 98639, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 174201, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+52, Private, 123780, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 38, United-States, <=50K
+20, Private, 374116, HS-grad, 9, Never-married, Prof-specialty, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+37, Local-gov, 212005, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+65, Private, 123965, Bachelors, 13, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+40, Private, 242619, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 4650, 0, 40, United-States, <=50K
+60, Local-gov, 138502, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 7298, 0, 48, United-States, >50K
+27, Private, 113635, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 35, Ireland, <=50K
+62, Private, 664366, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K
+53, Private, 218311, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+38, Private, 278557, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+49, Private, 314773, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 194861, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+18, Private, 400616, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 208117, Bachelors, 13, Never-married, Prof-specialty, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 184498, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+52, Private, 117674, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K
+19, Private, 162621, Some-college, 10, Never-married, Tech-support, Own-child, White, Male, 0, 0, 14, United-States, <=50K
+23, Private, 368739, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+63, Self-emp-not-inc, 196994, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 15, United-States, <=50K
+63, Self-emp-not-inc, 420629, Assoc-voc, 11, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 45, United-States, <=50K
+62, Self-emp-inc, 245491, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 99999, 0, 40, United-States, >50K
+51, Self-emp-not-inc, 276456, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 3103, 0, 30, United-States, >50K
+76, Local-gov, 169133, Some-college, 10, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+50, Private, 99307, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 5013, 0, 45, United-States, <=50K
+45, Self-emp-inc, 120131, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K
+44, Self-emp-inc, 456236, Some-college, 10, Divorced, Sales, Own-child, White, Male, 0, 0, 45, United-States, >50K
+51, Private, 107123, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+42, Local-gov, 125461, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 4650, 0, 35, United-States, <=50K
+43, Local-gov, 36924, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+53, Private, 167065, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 53642, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+41, Private, 154668, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+44, Federal-gov, 102238, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 54595, 10th, 6, Widowed, Other-service, Not-in-family, Black, Female, 0, 1980, 40, United-States, <=50K
+27, Private, 152951, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 257042, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K
+60, Private, 74243, Assoc-voc, 11, Widowed, Craft-repair, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+49, Private, 149049, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 14344, 0, 45, United-States, >50K
+33, Private, 117186, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K
+35, Private, 178322, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+31, State-gov, 286911, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 38, United-States, <=50K
+54, Private, 203635, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 7298, 0, 60, United-States, >50K
+57, Self-emp-not-inc, 177271, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, <=50K
+30, Private, 149427, 9th, 5, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 45, United-States, <=50K
+45, Private, 101656, 10th, 6, Never-married, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, Vietnam, <=50K
+41, Private, 274363, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 7298, 0, 42, United-States, >50K
+25, Private, 241025, Bachelors, 13, Never-married, Other-service, Own-child, White, Male, 0, 0, 18, United-States, <=50K
+51, Self-emp-inc, 338836, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+42, Private, 210534, 5th-6th, 3, Separated, Adm-clerical, Other-relative, White, Male, 0, 0, 40, El-Salvador, <=50K
+28, Private, 95725, Assoc-voc, 11, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+47, ?, 178013, 10th, 6, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 20, Cuba, <=50K
+53, Federal-gov, 167410, Bachelors, 13, Divorced, Tech-support, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K
+31, Private, 158162, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 13550, 0, 50, United-States, >50K
+46, Private, 241935, 11th, 7, Married-civ-spouse, Other-service, Husband, Black, Male, 7688, 0, 40, United-States, >50K
+25, Federal-gov, 406955, HS-grad, 9, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+47, Private, 341762, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 239303, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, ?, <=50K
+30, Private, 38848, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+48, Private, 54744, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 332194, Some-college, 10, Never-married, Other-service, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+32, Self-emp-not-inc, 154950, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 30, United-States, <=50K
+33, Self-emp-not-inc, 196342, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, >50K
+31, Private, 201292, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+43, Private, 339767, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 20, England, >50K
+26, Private, 250066, Assoc-voc, 11, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+34, Private, 318886, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+50, Local-gov, 124076, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K
+30, State-gov, 242122, HS-grad, 9, Separated, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+17, Private, 34019, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+35, Local-gov, 230754, Masters, 14, Never-married, Prof-specialty, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+29, Private, 213842, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+27, Federal-gov, 196386, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 4064, 0, 40, El-Salvador, <=50K
+32, Self-emp-not-inc, 62165, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, ?, <=50K
+34, Private, 134737, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, >50K
+32, Private, 515629, HS-grad, 9, Separated, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+47, Federal-gov, 119199, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+40, Private, 90222, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+26, Private, 28443, Assoc-voc, 11, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+30, Private, 159442, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, Ireland, <=50K
+54, Private, 315804, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+53, Private, 135840, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K
+38, Private, 81232, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, ?, >50K
+43, Private, 118001, 7th-8th, 4, Separated, Farming-fishing, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+25, Private, 207875, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+39, Private, 164898, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+57, Local-gov, 170066, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 25, United-States, >50K
+47, Private, 111994, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 34, United-States, <=50K
+45, Private, 166636, HS-grad, 9, Divorced, Other-service, Other-relative, Black, Female, 0, 0, 35, United-States, <=50K
+24, State-gov, 61737, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+32, Self-emp-not-inc, 241885, 10th, 6, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 234190, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+57, Private, 230899, 5th-6th, 3, Separated, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+28, Private, 114158, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1977, 24, United-States, >50K
+28, Private, 222442, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 51, Cuba, <=50K
+27, Private, 157612, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K
+28, Private, 199903, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+74, ?, 292627, 1st-4th, 2, Married-civ-spouse, ?, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+44, Self-emp-not-inc, 156687, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, Asian-Pac-Islander, Male, 0, 0, 42, Japan, <=50K
+27, Private, 369522, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 45, United-States, <=50K
+61, Private, 226297, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 356017, 11th, 7, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 99, United-States, <=50K
+28, Private, 189257, 9th, 5, Never-married, Handlers-cleaners, Own-child, Black, Female, 0, 0, 24, United-States, <=50K
+20, Private, 157541, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 69251, Assoc-voc, 11, Never-married, Sales, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K
+38, State-gov, 272944, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 113667, HS-grad, 9, Never-married, Sales, Unmarried, Black, Female, 0, 0, 25, United-States, <=50K
+40, Private, 222011, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, >50K
+43, Private, 191196, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K
+38, Private, 169104, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K
+19, Private, 146679, Some-college, 10, Never-married, Exec-managerial, Own-child, Black, Male, 0, 0, 30, United-States, <=50K
+56, Private, 226985, Assoc-acdm, 12, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 50, United-States, <=50K
+38, Private, 153066, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, >50K
+30, ?, 159303, Bachelors, 13, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 4, United-States, <=50K
+22, Private, 200109, HS-grad, 9, Married-civ-spouse, Priv-house-serv, Wife, White, Female, 4508, 0, 40, United-States, <=50K
+18, State-gov, 109445, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 25, United-States, <=50K
+68, Private, 99491, Some-college, 10, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+35, Private, 172571, Assoc-voc, 11, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+42, Private, 143582, 7th-8th, 4, Married-civ-spouse, Other-service, Other-relative, Asian-Pac-Islander, Female, 0, 0, 48, ?, <=50K
+32, Private, 207113, 10th, 6, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+43, Federal-gov, 192712, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K
+30, Private, 154297, 10th, 6, Never-married, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+62, Private, 238913, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 2829, 0, 24, United-States, <=50K
+38, Private, 110402, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 207213, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 606111, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 60, Germany, >50K
+26, Private, 34112, Assoc-voc, 11, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 119156, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+19, Private, 249787, HS-grad, 9, Never-married, Other-service, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K
+20, Private, 153516, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+25, State-gov, 260754, Bachelors, 13, Never-married, Protective-serv, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+28, Self-emp-not-inc, 155621, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 50, Columbia, <=50K
+36, Private, 33983, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 42, United-States, >50K
+23, Private, 306601, Bachelors, 13, Never-married, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 40, Mexico, <=50K
+24, Private, 270075, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 50, United-States, <=50K
+23, Private, 109430, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+24, Private, 187115, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+25, Self-emp-not-inc, 463667, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 8, United-States, <=50K
+24, Private, 52262, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 144064, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 62, United-States, <=50K
+26, Private, 147821, Bachelors, 13, Never-married, Sales, Own-child, White, Female, 0, 0, 45, ?, <=50K
+62, ?, 232719, Masters, 14, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 50, United-States, <=50K
+36, Private, 268620, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 33, United-States, <=50K
+45, Private, 81132, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K
+31, Private, 323069, Assoc-acdm, 12, Divorced, Sales, Unmarried, White, Female, 0, 880, 45, United-States, <=50K
+34, Private, 242984, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K
+65, Self-emp-inc, 172684, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 44, Mexico, >50K
+42, Private, 103932, Assoc-voc, 11, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+27, State-gov, 431637, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K
+40, Private, 188942, Some-college, 10, Married-civ-spouse, Sales, Wife, Black, Female, 0, 0, 40, Puerto-Rico, <=50K
+53, Federal-gov, 170354, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+54, Private, 28518, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+30, State-gov, 193380, Bachelors, 13, Never-married, Prof-specialty, Other-relative, White, Male, 0, 0, 35, United-States, <=50K
+59, Private, 175942, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, >50K
+42, Self-emp-not-inc, 53956, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 55, United-States, <=50K
+23, Private, 120773, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+28, Private, 96219, Bachelors, 13, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 15, United-States, <=50K
+20, Private, 104164, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 190429, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+73, ?, 243030, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 30, United-States, <=50K
+47, Self-emp-not-inc, 228660, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1977, 40, United-States, >50K
+44, Private, 368757, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 220563, 12th, 8, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 233571, Assoc-voc, 11, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 37, United-States, >50K
+39, Private, 187847, HS-grad, 9, Divorced, Machine-op-inspct, Own-child, White, Male, 0, 0, 50, United-States, <=50K
+49, Private, 84298, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 40, United-States, >50K
+44, Self-emp-not-inc, 254303, Some-college, 10, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+27, Private, 109611, 9th, 5, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 37, Portugal, <=50K
+50, Private, 189183, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+39, Private, 206951, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+41, Private, 282882, HS-grad, 9, Never-married, Sales, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+55, Private, 377061, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K
+53, Private, 209906, 1st-4th, 2, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 35, Puerto-Rico, <=50K
+53, Local-gov, 176059, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 50, United-States, <=50K
+31, Private, 279015, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2415, 70, Taiwan, >50K
+21, Private, 347292, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 277314, HS-grad, 9, Separated, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+74, ?, 29887, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 10, United-States, <=50K
+53, Private, 341439, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 60, United-States, >50K
+47, Private, 209460, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1485, 47, United-States, <=50K
+60, Private, 114263, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, Hungary, >50K
+59, Private, 230899, 9th, 5, Separated, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K
+37, Private, 271767, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 48, United-States, >50K
+47, Federal-gov, 20956, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1740, 40, United-States, <=50K
+49, Private, 39986, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+73, Local-gov, 45784, Some-college, 10, Never-married, Prof-specialty, Other-relative, White, Female, 0, 0, 11, United-States, <=50K
+58, Private, 126991, HS-grad, 9, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 20, United-States, <=50K
+18, ?, 234648, 11th, 7, Never-married, ?, Own-child, Black, Male, 0, 0, 15, United-States, <=50K
+35, Private, 207676, Some-college, 10, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+24, State-gov, 413345, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 50, United-States, <=50K
+62, Private, 122033, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K
+58, Private, 169611, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K
+51, Private, 90363, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 15024, 0, 40, United-States, >50K
+21, Private, 372636, HS-grad, 9, Never-married, Sales, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+30, Private, 340917, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 34273, Assoc-voc, 11, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 1876, 36, Canada, <=50K
+25, Private, 161027, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 5178, 0, 40, United-States, >50K
+31, Private, 99844, HS-grad, 9, Never-married, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 45, United-States, <=50K
+31, Private, 207685, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 34, United-States, <=50K
+44, Private, 74680, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 5178, 0, 50, United-States, >50K
+52, Self-emp-inc, 334273, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 65, United-States, >50K
+30, Private, 36069, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 100563, HS-grad, 9, Never-married, Transport-moving, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+36, Private, 174308, 11th, 7, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+54, Self-emp-not-inc, 109413, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K
+59, Local-gov, 212600, Some-college, 10, Separated, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+55, Private, 271710, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+70, ?, 230816, Assoc-voc, 11, Never-married, ?, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+22, Private, 103277, Assoc-acdm, 12, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+42, Private, 318947, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+36, Private, 187167, Assoc-acdm, 12, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, <=50K
+32, Private, 204742, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+44, Private, 282062, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+22, ?, 283510, HS-grad, 9, Never-married, ?, Unmarried, Black, Male, 0, 0, 45, United-States, <=50K
+25, Private, 280093, 11th, 7, Married-spouse-absent, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K
+31, Private, 202729, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K
+33, Private, 205950, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+54, Self-emp-not-inc, 392286, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+42, Self-emp-not-inc, 119207, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K
+49, Private, 195554, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 44, United-States, <=50K
+30, Private, 173005, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 44, United-States, <=50K
+54, Private, 192862, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 45, United-States, <=50K
+39, Private, 164712, Some-college, 10, Never-married, Transport-moving, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 195808, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 199444, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 44, United-States, <=50K
+23, Private, 126346, 9th, 5, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K
+54, Private, 177675, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 42, United-States, <=50K
+23, Private, 50341, Masters, 14, Never-married, Sales, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+39, Private, 237943, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Male, 0, 1726, 40, United-States, <=50K
+23, Private, 126945, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K
+67, ?, 92061, HS-grad, 9, Widowed, ?, Other-relative, White, Female, 0, 0, 8, United-States, <=50K
+19, ?, 109938, 11th, 7, Married-civ-spouse, ?, Wife, Asian-Pac-Islander, Female, 0, 0, 40, Laos, <=50K
+41, Private, 267252, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 1902, 40, United-States, >50K
+32, Private, 174704, 11th, 7, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+57, Private, 124771, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+18, Private, 200603, HS-grad, 9, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 30, United-States, <=50K
+60, State-gov, 165827, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 60, United-States, >50K
+21, Private, 301199, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+53, Private, 215790, Some-college, 10, Widowed, Adm-clerical, Other-relative, White, Female, 0, 0, 22, United-States, <=50K
+38, Private, 87556, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 55, United-States, >50K
+21, Private, 111467, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+53, Private, 82646, Doctorate, 16, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 55, United-States, >50K
+24, Private, 162282, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+36, Federal-gov, 239074, Assoc-acdm, 12, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 214925, Masters, 14, Never-married, Exec-managerial, Not-in-family, Black, Male, 0, 0, 60, United-States, <=50K
+23, Private, 194247, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+44, Private, 211531, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K
+32, Local-gov, 223267, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 48, United-States, <=50K
+25, Private, 201635, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+41, Self-emp-not-inc, 188738, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 27, United-States, <=50K
+18, Private, 133055, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+57, Private, 61761, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1672, 45, United-States, <=50K
+62, Private, 103344, Bachelors, 13, Widowed, Exec-managerial, Not-in-family, White, Male, 10520, 0, 50, United-States, >50K
+29, Private, 109814, Bachelors, 13, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+19, Private, 225294, HS-grad, 9, Never-married, Other-service, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+35, Self-emp-not-inc, 97277, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 65, United-States, >50K
+52, Private, 146711, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+28, Private, 286452, 10th, 6, Never-married, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+38, Private, 20308, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+42, Private, 224203, Some-college, 10, Widowed, Sales, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+41, Private, 225978, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+23, Private, 237720, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K
+31, Private, 156743, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 76, United-States, >50K
+31, Private, 509364, 5th-6th, 3, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 45, Mexico, <=50K
+46, Private, 144351, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+18, Private, 375515, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+57, Self-emp-not-inc, 103529, Masters, 14, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 38, United-States, >50K
+25, Private, 199472, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K
+32, Private, 348152, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+27, Private, 221166, 9th, 5, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+46, Federal-gov, 341762, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 45, United-States, >50K
+17, ?, 634226, 10th, 6, Never-married, ?, Own-child, White, Female, 0, 0, 17, United-States, <=50K
+43, State-gov, 159449, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+56, Self-emp-not-inc, 110238, Bachelors, 13, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, >50K
+19, Private, 458558, HS-grad, 9, Married-civ-spouse, Craft-repair, Wife, White, Female, 0, 0, 40, United-States, <=50K
+20, Federal-gov, 340217, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+42, Private, 155106, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+90, Private, 90523, HS-grad, 9, Widowed, Transport-moving, Unmarried, White, Male, 0, 0, 99, United-States, <=50K
+25, Private, 122756, 11th, 7, Separated, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 35, United-States, <=50K
+27, Private, 293828, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 40, Jamaica, <=50K
+48, Private, 299291, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 44, United-States, <=50K
+48, Federal-gov, 483261, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+27, Private, 122038, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, <=50K
+46, Private, 160647, Bachelors, 13, Widowed, Tech-support, Unmarried, White, Female, 0, 0, 38, United-States, <=50K
+32, Private, 106541, 5th-6th, 3, Married-civ-spouse, Other-service, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 126945, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 188505, Bachelors, 13, Married-AF-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K
+31, Private, 377850, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 65, United-States, <=50K
+20, Private, 193586, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 18, United-States, <=50K
+28, Self-emp-not-inc, 315417, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 2176, 0, 40, United-States, <=50K
+40, Self-emp-inc, 57233, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K
+39, Private, 195253, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K
+54, Local-gov, 172991, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+59, Local-gov, 223215, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 42, United-States, <=50K
+17, Private, 95799, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 18, United-States, <=50K
+25, Self-emp-not-inc, 213385, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 80, United-States, <=50K
+49, Local-gov, 202467, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K
+55, Self-emp-not-inc, 145574, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 34095, 0, 60, United-States, <=50K
+39, Private, 147548, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+67, Private, 105216, Some-college, 10, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 16, United-States, <=50K
+28, Private, 77760, HS-grad, 9, Never-married, Other-service, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 167990, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Canada, <=50K
+44, Private, 167005, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 48, United-States, >50K
+51, Private, 108435, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 47, United-States, >50K
+55, Private, 56645, Bachelors, 13, Widowed, Farming-fishing, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K
+45, Local-gov, 304973, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 78, United-States, >50K
+32, Private, 42596, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, <=50K
+45, Private, 220641, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+45, Private, 101452, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 60, England, >50K
+35, Private, 188888, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+55, Local-gov, 168790, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 44, United-States, <=50K
+59, Private, 98361, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+22, Private, 401762, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K
+46, Local-gov, 160187, Masters, 14, Widowed, Exec-managerial, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K
+23, Private, 203715, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+47, Private, 144351, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+34, Private, 420749, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 30, Germany, <=50K
+51, Private, 106151, 11th, 7, Divorced, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 362482, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K
+24, State-gov, 38151, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 12, United-States, <=50K
+20, Private, 42706, Some-college, 10, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 72, United-States, <=50K
+44, Private, 126199, Some-college, 10, Divorced, Transport-moving, Unmarried, White, Male, 1831, 0, 50, United-States, <=50K
+26, Private, 165510, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+35, Local-gov, 216068, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 38, United-States, <=50K
+23, Private, 215624, Some-college, 10, Never-married, Machine-op-inspct, Unmarried, Asian-Pac-Islander, Male, 0, 0, 40, Vietnam, <=50K
+40, Private, 239708, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+49, Local-gov, 199378, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 230420, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+28, Private, 395022, Assoc-voc, 11, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+51, Private, 338620, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 60, United-States, >50K
+62, Private, 210142, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+31, Private, 446358, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+47, Local-gov, 352614, Assoc-acdm, 12, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K
+36, Private, 293528, Assoc-voc, 11, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 3, United-States, <=50K
+44, State-gov, 55395, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+18, ?, 128538, HS-grad, 9, Never-married, ?, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+46, Private, 428405, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+32, Private, 126838, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+51, Self-emp-not-inc, 136836, Assoc-acdm, 12, Divorced, Transport-moving, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K
+48, Private, 105838, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+28, Private, 139903, Bachelors, 13, Never-married, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+57, Self-emp-inc, 106103, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 60, United-States, >50K
+33, Private, 186824, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+42, Private, 350387, HS-grad, 9, Separated, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 15, United-States, <=50K
+17, Private, 142912, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+63, ?, 321403, 9th, 5, Separated, ?, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+31, Self-emp-inc, 114937, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K
+34, ?, 286689, Masters, 14, Never-married, ?, Not-in-family, White, Male, 4650, 0, 30, United-States, <=50K
+35, Private, 147258, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 1974, 40, United-States, <=50K
+20, Private, 451996, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 149833, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K
+24, Private, 211968, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K
+33, Private, 287908, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 50, United-States, >50K
+36, Private, 166549, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 25216, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+29, Private, 286452, Assoc-acdm, 12, Divorced, Sales, Unmarried, White, Female, 3418, 0, 40, United-States, <=50K
+47, Private, 162034, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K
+30, Private, 186932, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 5178, 0, 75, United-States, >50K
+34, Private, 82938, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K
+23, Private, 122048, HS-grad, 9, Never-married, Machine-op-inspct, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+33, Private, 118710, Assoc-voc, 11, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+59, Private, 243226, 10th, 6, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+67, Self-emp-not-inc, 268514, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 365289, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 165365, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male, 2885, 0, 40, Laos, <=50K
+20, Private, 219266, HS-grad, 9, Married-civ-spouse, Prof-specialty, Own-child, White, Female, 0, 0, 36, ?, <=50K
+24, Private, 283757, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 39, United-States, <=50K
+44, Federal-gov, 206553, Assoc-voc, 11, Divorced, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 113364, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+28, Private, 328949, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K
+19, Private, 83930, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+31, Self-emp-not-inc, 325355, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 1902, 40, United-States, >50K
+20, Private, 131852, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+64, Private, 119506, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K
+47, State-gov, 100818, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K
+36, Private, 162302, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+48, Private, 182211, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 44, United-States, >50K
+19, Self-emp-not-inc, 194205, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, Mexico, <=50K
+22, Private, 141040, HS-grad, 9, Never-married, Sales, Own-child, Black, Female, 0, 0, 35, United-States, <=50K
+56, Private, 346033, 9th, 5, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 177125, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+37, Private, 241174, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 99, United-States, >50K
+57, Local-gov, 130532, Bachelors, 13, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+38, Private, 168496, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+34, Private, 362787, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+22, ?, 244771, 11th, 7, Separated, ?, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+38, Federal-gov, 48123, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+30, Self-emp-inc, 173858, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 1902, 40, South, >50K
+32, Private, 207201, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, >50K
+29, Private, 37933, 12th, 8, Married-spouse-absent, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+56, Private, 33323, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+42, Private, 175943, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Wife, White, Female, 7298, 0, 35, United-States, >50K
+66, ?, 306178, 10th, 6, Divorced, ?, Not-in-family, White, Male, 2050, 0, 40, United-States, <=50K
+71, Local-gov, 229110, HS-grad, 9, Widowed, Exec-managerial, Other-relative, White, Female, 0, 0, 33, United-States, <=50K
+20, Private, 113511, 11th, 7, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 333677, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 36, United-States, <=50K
+42, Private, 236021, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, ?, >50K
+20, ?, 371089, HS-grad, 9, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+61, Private, 115023, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+24, State-gov, 133586, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K
+51, Private, 91137, 9th, 5, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+27, Private, 105598, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+41, Private, 352812, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 1902, 40, United-States, >50K
+31, Private, 204829, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+39, Private, 247733, HS-grad, 9, Divorced, Priv-house-serv, Unmarried, Black, Female, 0, 0, 16, United-States, <=50K
+36, ?, 370585, HS-grad, 9, Married-civ-spouse, ?, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+51, Self-emp-not-inc, 103257, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+52, Private, 178915, HS-grad, 9, Never-married, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+49, Private, 54260, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+43, Private, 55395, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+45, Private, 233511, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 60, United-States, >50K
+49, Private, 318331, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+19, Private, 195985, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+44, Self-emp-not-inc, 38876, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K
+67, Self-emp-inc, 81413, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+58, Private, 172618, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K
+36, Private, 174717, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 40, United-States, >50K
+67, Private, 224984, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 15831, 0, 16, Germany, >50K
+61, Private, 423297, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+55, Local-gov, 88856, 7th-8th, 4, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+23, ?, 169104, Assoc-acdm, 12, Never-married, ?, Own-child, Asian-Pac-Islander, Male, 0, 0, 16, Philippines, <=50K
+35, Federal-gov, 39207, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 340018, 10th, 6, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 38, United-States, <=50K
+20, State-gov, 30796, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 10, United-States, <=50K
+51, Private, 155403, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 40, United-States, <=50K
+23, Private, 238092, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+39, Private, 225605, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 24, United-States, <=50K
+36, Private, 289148, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+47, Private, 339863, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K
+27, Private, 178778, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 80, United-States, >50K
+29, Private, 568490, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+21, State-gov, 129345, Some-college, 10, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+18, Private, 447882, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+24, Private, 314165, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+39, Federal-gov, 382859, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+51, State-gov, 82504, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+47, Private, 149700, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 15024, 0, 40, United-States, >50K
+62, Private, 209844, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 30, United-States, <=50K
+49, Private, 62546, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+20, Private, 228686, 11th, 7, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 326587, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 202091, HS-grad, 9, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+54, Self-emp-not-inc, 310774, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 450246, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+20, ?, 84375, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 45, United-States, <=50K
+43, Private, 142444, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 55, United-States, >50K
+26, Private, 82246, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 1876, 38, United-States, <=50K
+24, Private, 192766, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+18, Private, 53109, 11th, 7, Never-married, Other-service, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 20, United-States, <=50K
+45, Self-emp-inc, 121836, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, ?, >50K
+45, Self-emp-not-inc, 298130, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 25, United-States, <=50K
+26, Private, 135645, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+47, Private, 265275, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+54, ?, 410114, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+21, Without-pay, 232719, HS-grad, 9, Never-married, Craft-repair, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+29, Private, 167716, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 99, United-States, <=50K
+68, Private, 107627, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 15, United-States, <=50K
+21, Private, 129674, Some-college, 10, Never-married, Exec-managerial, Not-in-family, Black, Male, 0, 0, 48, Mexico, <=50K
+28, Self-emp-inc, 114053, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+46, Private, 202560, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K
+35, Private, 219902, HS-grad, 9, Separated, Transport-moving, Unmarried, Black, Female, 0, 0, 48, United-States, <=50K
+50, Self-emp-not-inc, 192654, 10th, 6, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K
+48, Self-emp-inc, 238966, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+17, ?, 112942, 10th, 6, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+59, Private, 153484, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 15024, 0, 50, United-States, >50K
+23, Private, 161874, Some-college, 10, Never-married, Exec-managerial, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+53, Private, 260106, HS-grad, 9, Widowed, Sales, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+50, Self-emp-inc, 240374, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+32, ?, 251612, 5th-6th, 3, Never-married, ?, Unmarried, White, Female, 0, 0, 45, Mexico, <=50K
+53, Private, 223696, 12th, 8, Married-spouse-absent, Handlers-cleaners, Not-in-family, Other, Male, 0, 0, 56, Dominican-Republic, <=50K
+52, Private, 176134, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 48, United-States, <=50K
+38, Private, 186959, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K
+43, Private, 456236, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+35, Private, 98948, Bachelors, 13, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 32, United-States, <=50K
+41, Private, 166662, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+22, Private, 448626, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+39, Private, 167482, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 60, United-States, >50K
+45, Private, 189792, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+31, Private, 399052, 9th, 5, Married-civ-spouse, Farming-fishing, Wife, White, Female, 0, 0, 42, United-States, <=50K
+40, Private, 104196, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1887, 40, United-States, >50K
+47, Self-emp-not-inc, 152752, 5th-6th, 3, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 20, United-States, <=50K
+53, Private, 268545, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, Jamaica, <=50K
+53, Self-emp-inc, 148532, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K
+33, Local-gov, 281784, Bachelors, 13, Never-married, Tech-support, Not-in-family, Black, Male, 0, 1564, 52, United-States, >50K
+24, Private, 225724, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+34, Private, 200192, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+46, Self-emp-inc, 170850, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+29, Federal-gov, 224858, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 60, United-States, <=50K
+61, State-gov, 159908, 11th, 7, Widowed, Other-service, Unmarried, White, Female, 0, 0, 32, United-States, >50K
+31, Private, 115488, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 1268339, HS-grad, 9, Married-spouse-absent, Tech-support, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+42, Private, 195755, HS-grad, 9, Separated, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+50, Federal-gov, 186272, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 181388, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+39, Private, 177181, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+74, Private, 91488, 1st-4th, 2, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 20, United-States, <=50K
+40, Private, 230961, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+75, Self-emp-not-inc, 309955, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2174, 50, United-States, >50K
+40, Local-gov, 63042, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K
+36, Private, 29814, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+61, ?, 116230, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, >50K
+42, ?, 167678, 11th, 7, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 22, Ecuador, <=50K
+28, Private, 191088, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K
+19, Private, 63814, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 18, United-States, <=50K
+36, Private, 285865, Assoc-acdm, 12, Separated, Other-service, Unmarried, Black, Female, 0, 0, 32, United-States, <=50K
+33, ?, 160776, Assoc-voc, 11, Divorced, ?, Not-in-family, White, Female, 0, 0, 40, France, <=50K
+50, Federal-gov, 299831, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 880, 40, United-States, <=50K
+47, Private, 162741, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Wife, Black, Female, 15024, 0, 40, United-States, >50K
+48, Private, 204990, HS-grad, 9, Never-married, Tech-support, Unmarried, Black, Female, 0, 0, 33, Jamaica, <=50K
+60, Self-emp-inc, 171315, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 296462, Masters, 14, Never-married, Prof-specialty, Not-in-family, Black, Male, 0, 0, 30, United-States, <=50K
+32, Private, 103860, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+45, Local-gov, 159816, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1977, 35, United-States, >50K
+51, Private, 96586, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K
+53, Private, 202720, 9th, 5, Married-spouse-absent, Machine-op-inspct, Unmarried, Black, Male, 0, 0, 75, Haiti, <=50K
+34, Private, 202822, Masters, 14, Never-married, Tech-support, Unmarried, Black, Female, 0, 0, 40, ?, <=50K
+48, Self-emp-not-inc, 379883, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, Mexico, >50K
+68, ?, 123464, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 45, United-States, <=50K
+32, Private, 294121, Assoc-acdm, 12, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+63, ?, 179981, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 4, United-States, <=50K
+31, Private, 234387, HS-grad, 9, Divorced, Exec-managerial, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+58, Self-emp-not-inc, 154537, Bachelors, 13, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+32, Private, 125856, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K
+32, Private, 156015, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 116632, Bachelors, 13, Divorced, Sales, Own-child, White, Male, 0, 0, 80, United-States, <=50K
+50, Private, 124963, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 55, United-States, >50K
+38, Self-emp-not-inc, 115215, 10th, 6, Separated, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 254905, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 195532, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+28, Private, 190067, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 1564, 40, United-States, >50K
+63, Private, 181828, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 48, ?, <=50K
+32, Private, 203674, Assoc-acdm, 12, Divorced, Prof-specialty, Unmarried, White, Female, 0, 880, 36, United-States, <=50K
+25, Private, 322585, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+59, Private, 246262, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K
+22, Local-gov, 211129, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 10, ?, <=50K
+49, Private, 139268, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 188540, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+31, ?, 251167, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 30, Mexico, <=50K
+46, Private, 94809, Some-college, 10, Divorced, Priv-house-serv, Unmarried, White, Female, 0, 0, 30, United-States, <=50K
+37, Local-gov, 265038, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K
+48, Private, 182566, Bachelors, 13, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 40, United-States, >50K
+43, Private, 220109, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 1672, 44, United-States, <=50K
+41, Private, 208470, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+54, Private, 28683, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 3464, 0, 40, United-States, <=50K
+36, Private, 233571, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 4, United-States, <=50K
+29, Private, 24562, Bachelors, 13, Divorced, Other-service, Unmarried, Other, Female, 0, 0, 40, United-States, <=50K
+66, Local-gov, 36364, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 2267, 40, United-States, <=50K
+59, Private, 168569, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+62, Private, 167098, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+29, Private, 271579, 10th, 6, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K
+28, Private, 191355, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K
+27, Private, 31659, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 1887, 60, United-States, >50K
+42, State-gov, 83411, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+60, Private, 40856, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 46, United-States, >50K
+58, Private, 115605, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+27, Private, 132326, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+45, Private, 220213, HS-grad, 9, Widowed, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+50, Private, 172511, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+43, Private, 156745, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+39, Private, 218916, Prof-school, 15, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+21, Private, 306114, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+24, Private, 196675, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 70, United-States, <=50K
+59, Self-emp-not-inc, 73411, Prof-school, 15, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 30, United-States, <=50K
+36, Private, 184659, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K
+72, ?, 75890, Some-college, 10, Widowed, ?, Unmarried, Asian-Pac-Islander, Female, 0, 0, 4, United-States, <=50K
+35, Private, 320451, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 65, Hong, >50K
+33, Private, 172498, Some-college, 10, Divorced, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 131588, HS-grad, 9, Never-married, Craft-repair, Not-in-family, Black, Female, 0, 0, 45, United-States, <=50K
+40, Private, 124520, Assoc-voc, 11, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 50, United-States, >50K
+26, Self-emp-not-inc, 93806, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K
+37, Federal-gov, 173192, Assoc-voc, 11, Separated, Adm-clerical, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+68, Self-emp-not-inc, 198554, Some-college, 10, Divorced, Transport-moving, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+45, Private, 26502, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 72, United-States, >50K
+56, Private, 225267, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 150042, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+50, Private, 211319, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 50, United-States, >50K
+38, Private, 208358, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 58115, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 41, United-States, <=50K
+28, Private, 219267, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 28, United-States, <=50K
+39, Federal-gov, 129573, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, <=50K
+26, Local-gov, 27834, Bachelors, 13, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+52, Self-emp-inc, 415037, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 65, United-States, >50K
+52, Private, 191529, Bachelors, 13, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+84, Private, 132806, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 13, United-States, <=50K
+33, Federal-gov, 137059, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 10, United-States, <=50K
+46, Federal-gov, 102308, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 50, United-States, >50K
+30, Private, 164309, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+38, Private, 40955, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, England, >50K
+66, Private, 141085, HS-grad, 9, Widowed, Priv-house-serv, Not-in-family, White, Female, 0, 0, 8, United-States, <=50K
+62, Federal-gov, 258124, Masters, 14, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, Italy, >50K
+31, Private, 467579, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 1887, 40, United-States, >50K
+31, Private, 145139, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+39, Private, 231141, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 2829, 0, 40, United-States, <=50K
+60, Self-emp-not-inc, 146674, HS-grad, 9, Divorced, Craft-repair, Not-in-family, Black, Male, 0, 0, 50, ?, <=50K
+27, Private, 242207, Bachelors, 13, Never-married, Tech-support, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+37, ?, 102541, Assoc-voc, 11, Married-civ-spouse, ?, Wife, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K
+38, Private, 135416, Some-college, 10, Divorced, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+25, Private, 267284, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+48, Private, 130812, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K
+42, Self-emp-not-inc, 183765, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, ?, <=50K
+45, Local-gov, 188823, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+22, Private, 200593, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+50, Private, 124094, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Poland, <=50K
+21, Private, 50411, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+44, Local-gov, 101689, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+60, Self-emp-not-inc, 73091, HS-grad, 9, Separated, Other-service, Not-in-family, Black, Male, 0, 1876, 50, United-States, <=50K
+21, ?, 107801, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 6, United-States, <=50K
+51, Private, 176969, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, <=50K
+30, Private, 342709, HS-grad, 9, Married-spouse-absent, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+46, Self-emp-not-inc, 368561, Assoc-acdm, 12, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+43, Private, 26915, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+57, Private, 157974, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 48, United-States, <=50K
+48, Private, 109832, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 40, United-States, >50K
+39, Self-emp-inc, 116358, Bachelors, 13, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 7688, 0, 40, ?, >50K
+68, Self-emp-not-inc, 195881, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 2414, 0, 40, United-States, <=50K
+33, Private, 183000, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 24, United-States, <=50K
+22, Without-pay, 302347, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 4416, 0, 40, United-States, <=50K
+18, ?, 151463, 11th, 7, Never-married, ?, Other-relative, White, Male, 0, 0, 7, United-States, <=50K
+28, Private, 217200, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+32, Private, 31740, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, India, <=50K
+56, Private, 35520, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K
+36, Private, 369843, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 50, United-States, <=50K
+34, Private, 199227, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, <=50K
+18, Private, 144711, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 1721, 40, United-States, <=50K
+39, Private, 382802, 10th, 6, Widowed, Machine-op-inspct, Not-in-family, Black, Male, 0, 1590, 40, United-States, <=50K
+25, Private, 254781, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+27, Self-emp-not-inc, 70657, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+56, Self-emp-not-inc, 50791, Masters, 14, Divorced, Sales, Not-in-family, White, Male, 0, 1876, 60, United-States, <=50K
+33, Self-emp-not-inc, 222162, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+49, Self-emp-inc, 94606, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 60, United-States, >50K
+44, Self-emp-not-inc, 104196, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 84, United-States, <=50K
+30, Self-emp-not-inc, 455995, 11th, 7, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, >50K
+27, Private, 166210, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+25, Private, 198986, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+30, Self-emp-inc, 292465, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 99388, Assoc-acdm, 12, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, El-Salvador, <=50K
+38, Private, 698363, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+46, Private, 154940, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+37, Private, 401998, HS-grad, 9, Widowed, Machine-op-inspct, Unmarried, White, Female, 0, 0, 20, United-States, <=50K
+62, Private, 162825, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+55, Self-emp-not-inc, 271795, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+47, Self-emp-not-inc, 134671, HS-grad, 9, Married-spouse-absent, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+45, Private, 87583, HS-grad, 9, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 14, United-States, <=50K
+50, Private, 248619, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 130200, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+45, Private, 178922, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+23, Private, 51985, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K
+37, Private, 125933, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 50, United-States, >50K
+38, State-gov, 104280, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K
+27, Private, 617860, Some-college, 10, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+29, Private, 122112, Bachelors, 13, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 50, United-States, <=50K
+45, Local-gov, 181758, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+41, Self-emp-inc, 223671, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 1887, 55, United-States, >50K
+38, Self-emp-not-inc, 140117, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+27, Private, 107458, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+51, Federal-gov, 215948, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, Other, Male, 0, 0, 40, ?, <=50K
+44, Federal-gov, 306440, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+33, Federal-gov, 615893, Masters, 14, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, Nicaragua, <=50K
+28, Self-emp-inc, 201186, HS-grad, 9, Married-civ-spouse, Sales, Husband, Black, Male, 99999, 0, 40, United-States, >50K
+32, Private, 37210, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+43, Private, 196084, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, <=50K
+45, Local-gov, 166181, HS-grad, 9, Divorced, Other-service, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+52, Federal-gov, 291096, Assoc-acdm, 12, Married-civ-spouse, Other-service, Husband, White, Male, 7298, 0, 40, United-States, >50K
+24, Private, 232841, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+19, ?, 131982, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+47, Private, 408788, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+53, Self-emp-inc, 42924, Doctorate, 16, Divorced, Exec-managerial, Not-in-family, White, Male, 14084, 0, 50, United-States, >50K
+31, Private, 181091, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+30, Private, 200246, Assoc-voc, 11, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+56, Private, 282023, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+49, Federal-gov, 128990, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+38, Private, 106838, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+19, Private, 144750, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 18, United-States, <=50K
+39, Private, 108140, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 103323, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+47, Private, 268022, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 55, United-States, >50K
+58, Private, 197114, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 191628, HS-grad, 9, Never-married, Transport-moving, Not-in-family, Black, Male, 2174, 0, 40, United-States, <=50K
+59, Local-gov, 176118, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+24, Private, 42401, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 47, United-States, <=50K
+42, Private, 322385, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 2407, 0, 40, United-States, <=50K
+53, State-gov, 123011, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K
+35, Private, 210945, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 50, United-States, <=50K
+36, Local-gov, 130620, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female, 0, 0, 40, China, >50K
+26, Private, 248990, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+33, Private, 132705, 9th, 5, Separated, Adm-clerical, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K
+29, Private, 94892, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+43, Private, 141858, 11th, 7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 81232, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 50, United-States, >50K
+48, Private, 114561, Bachelors, 13, Married-spouse-absent, Prof-specialty, Other-relative, Asian-Pac-Islander, Female, 0, 0, 36, Philippines, >50K
+45, Local-gov, 191776, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+43, Private, 128354, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+27, Private, 37088, 9th, 5, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+21, Private, 414812, 7th-8th, 4, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+63, ?, 156799, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 4, United-States, <=50K
+39, Private, 33983, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 15024, 0, 40, United-States, >50K
+52, Self-emp-not-inc, 194995, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 55, United-States, >50K
+41, Self-emp-inc, 73431, Bachelors, 13, Widowed, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+48, Private, 155664, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 70, United-States, >50K
+27, ?, 182386, 11th, 7, Divorced, ?, Unmarried, White, Female, 0, 0, 35, United-States, <=50K
+53, State-gov, 281074, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 1092, 40, United-States, <=50K
+33, Local-gov, 248346, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+37, Private, 167482, 10th, 6, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+18, ?, 171088, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+43, Federal-gov, 211763, Doctorate, 16, Separated, Prof-specialty, Unmarried, Black, Female, 0, 0, 24, United-States, >50K
+20, Private, 122166, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+47, Private, 370119, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+36, Self-emp-not-inc, 138940, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 70, United-States, <=50K
+41, Private, 174575, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1887, 45, United-States, >50K
+67, Private, 101132, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 1797, 0, 40, United-States, <=50K
+38, Private, 292307, Bachelors, 13, Married-spouse-absent, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, Dominican-Republic, <=50K
+47, Self-emp-not-inc, 248776, Masters, 14, Never-married, Exec-managerial, Not-in-family, Black, Male, 0, 0, 25, United-States, <=50K
+39, Private, 314007, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K
+34, Self-emp-not-inc, 213226, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1485, 35, ?, <=50K
+36, Private, 76845, HS-grad, 9, Never-married, Other-service, Own-child, Black, Male, 0, 0, 35, United-States, <=50K
+24, Private, 148320, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+50, Self-emp-not-inc, 54261, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 84, United-States, <=50K
+21, Private, 223352, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 1055, 0, 30, United-States, <=50K
+21, Private, 211013, 9th, 5, Never-married, Other-service, Own-child, White, Female, 0, 0, 50, Mexico, <=50K
+40, Private, 209833, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+19, Private, 356272, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K
+38, Private, 143538, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+34, Private, 242960, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+44, Local-gov, 263871, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+20, Private, 151105, Assoc-acdm, 12, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+44, Private, 207685, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 1564, 55, England, >50K
+49, Local-gov, 46537, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 594, 0, 10, United-States, <=50K
+45, Self-emp-inc, 84324, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+24, Private, 224716, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 186269, HS-grad, 9, Divorced, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+58, Self-emp-not-inc, 143731, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 72, United-States, >50K
+39, Private, 236391, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+22, Private, 54560, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 266325, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 32, United-States, >50K
+32, Federal-gov, 42900, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 50, United-States, >50K
+45, State-gov, 183710, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K
+23, Private, 278254, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 45, United-States, <=50K
+35, Private, 119992, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+52, Private, 284329, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K
+55, Private, 368727, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 353696, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 31387, Bachelors, 13, Married-civ-spouse, Adm-clerical, Own-child, Amer-Indian-Eskimo, Female, 2885, 0, 25, United-States, <=50K
+27, Private, 110931, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 169532, Assoc-acdm, 12, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+21, Private, 285522, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+49, Private, 198774, Bachelors, 13, Divorced, Sales, Other-relative, White, Female, 0, 0, 35, United-States, <=50K
+32, Private, 123291, 12th, 8, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+64, Private, 146110, Some-college, 10, Widowed, Other-service, Unmarried, White, Female, 0, 0, 24, United-States, <=50K
+37, Self-emp-not-inc, 29814, HS-grad, 9, Never-married, Farming-fishing, Unmarried, White, Male, 0, 0, 50, United-States, <=50K
+61, Private, 195595, 7th-8th, 4, Married-spouse-absent, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, Guatemala, <=50K
+44, Private, 92649, HS-grad, 9, Married-civ-spouse, Craft-repair, Wife, White, Female, 0, 0, 40, United-States, >50K
+53, Private, 290688, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 52, United-States, >50K
+43, Private, 427382, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, >50K
+60, State-gov, 234854, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 40, United-States, >50K
+23, Private, 276568, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+25, Private, 250038, Masters, 14, Married-civ-spouse, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K
+29, Private, 150861, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+51, Private, 87205, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 55, England, <=50K
+47, Private, 343579, 1st-4th, 2, Married-spouse-absent, Farming-fishing, Not-in-family, White, Male, 0, 0, 12, Mexico, <=50K
+20, Private, 94401, HS-grad, 9, Never-married, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+25, Private, 120238, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 5178, 0, 40, Poland, >50K
+27, Private, 205440, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 198996, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+18, Private, 294253, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 27, United-States, <=50K
+23, Private, 256628, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 32, United-States, <=50K
+59, Self-emp-not-inc, 223131, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+46, Private, 207301, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 37, United-States, <=50K
+66, ?, 270460, 7th-8th, 4, Divorced, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+46, Local-gov, 125457, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 38, United-States, >50K
+36, Local-gov, 212856, 11th, 7, Never-married, Other-service, Unmarried, White, Female, 0, 0, 23, United-States, <=50K
+44, Private, 197389, HS-grad, 9, Married-spouse-absent, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+17, Private, 73338, 11th, 7, Never-married, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+27, Private, 68037, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+32, Private, 185027, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+53, Private, 107123, HS-grad, 9, Divorced, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+22, Private, 109482, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 98, United-States, <=50K
+30, Private, 174543, Assoc-acdm, 12, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+47, Self-emp-not-inc, 208407, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2002, 30, United-States, <=50K
+68, Self-emp-not-inc, 211584, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+39, Private, 108540, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 202416, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+62, ?, 160155, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 6418, 0, 40, United-States, >50K
+20, Private, 176178, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+21, Private, 265148, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 38, Jamaica, <=50K
+34, Private, 220631, Assoc-voc, 11, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 50, ?, <=50K
+30, Self-emp-not-inc, 303692, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 75, United-States, <=50K
+25, Private, 135845, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+23, State-gov, 199915, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 21, United-States, <=50K
+40, State-gov, 150533, Bachelors, 13, Married-civ-spouse, Prof-specialty, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+26, Federal-gov, 85482, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K
+57, Self-emp-not-inc, 24473, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+36, Private, 272944, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K
+43, ?, 82077, Some-college, 10, Divorced, ?, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K
+49, State-gov, 194895, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+58, Private, 314153, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+32, Private, 176253, Some-college, 10, Divorced, Exec-managerial, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+59, Private, 113959, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, >50K
+42, State-gov, 167581, Bachelors, 13, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+37, Private, 79586, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Iran, <=50K
+40, Private, 166662, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 45, United-States, >50K
+47, Private, 72896, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+56, Private, 345730, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K
+30, Private, 302473, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+42, Private, 42346, HS-grad, 9, Widowed, Exec-managerial, Not-in-family, Black, Female, 0, 0, 35, United-States, <=50K
+21, Private, 243921, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 131620, HS-grad, 9, Married-spouse-absent, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, Dominican-Republic, <=50K
+47, Private, 158924, HS-grad, 9, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 40, United-States, <=50K
+22, Self-emp-not-inc, 32921, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+35, Private, 252897, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 14344, 0, 40, United-States, >50K
+41, Private, 155657, 11th, 7, Never-married, Handlers-cleaners, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K
+43, Federal-gov, 155106, Bachelors, 13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 53, United-States, <=50K
+60, Private, 82775, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K
+73, Private, 26248, 7th-8th, 4, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 30, United-States, >50K
+90, Private, 88991, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, England, >50K
+62, Federal-gov, 125155, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 38, United-States, <=50K
+28, Private, 218039, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+45, Private, 53524, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+19, Private, 259352, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+30, Private, 296453, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+19, Private, 278915, 12th, 8, Never-married, Handlers-cleaners, Own-child, Black, Female, 0, 0, 52, United-States, <=50K
+23, Private, 565313, Some-college, 10, Never-married, Other-service, Own-child, Black, Male, 2202, 0, 80, United-States, <=50K
+22, Federal-gov, 274103, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 10, United-States, <=50K
+19, Private, 271118, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 28, United-States, <=50K
+45, Federal-gov, 207107, Assoc-acdm, 12, Divorced, Adm-clerical, Unmarried, Asian-Pac-Islander, Male, 0, 2080, 40, Philippines, <=50K
+26, Local-gov, 138597, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 25, United-States, <=50K
+42, Local-gov, 180985, 10th, 6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 99999, 0, 40, United-States, >50K
+62, Self-emp-not-inc, 159939, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 35, United-States, <=50K
+61, Private, 110920, 10th, 6, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 34862, Bachelors, 13, Divorced, Sales, Not-in-family, Amer-Indian-Eskimo, Male, 0, 1564, 60, United-States, >50K
+22, Local-gov, 163205, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 53, United-States, <=50K
+56, Private, 110003, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+32, Private, 229051, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+24, ?, 144898, Some-college, 10, Never-married, ?, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 211596, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 48458, HS-grad, 9, Never-married, Sales, Own-child, Black, Female, 0, 1669, 45, United-States, <=50K
+58, Private, 201393, Assoc-acdm, 12, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 1876, 40, United-States, <=50K
+25, Self-emp-not-inc, 136450, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 35, United-States, >50K
+23, Private, 193586, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+23, Private, 91189, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K
+54, Private, 227832, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 271936, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+35, Private, 61343, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+30, Private, 157778, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 25, United-States, >50K
+23, Private, 201680, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+42, Private, 228320, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 50, United-States, >50K
+72, Private, 33404, 10th, 6, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+21, Private, 103205, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 279029, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+54, Private, 213092, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+58, Private, 126104, Masters, 14, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 1980, 45, United-States, <=50K
+32, Private, 119124, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+65, Private, 31924, Some-college, 10, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K
+22, Private, 253799, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, ?, <=50K
+52, Private, 266138, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, ?, >50K
+65, Private, 185001, 10th, 6, Widowed, Sales, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+33, Self-emp-not-inc, 34102, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+35, Private, 115214, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, White, Male, 6497, 0, 65, United-States, <=50K
+27, Private, 289484, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+34, State-gov, 287908, HS-grad, 9, Never-married, Other-service, Own-child, Black, Male, 0, 0, 42, United-States, <=50K
+53, Self-emp-not-inc, 158284, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 70, United-States, <=50K
+23, Private, 60668, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Portugal, <=50K
+43, State-gov, 222978, Doctorate, 16, Separated, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, >50K
+58, Private, 244605, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 3908, 0, 40, United-States, <=50K
+38, Private, 150601, 10th, 6, Separated, Adm-clerical, Unmarried, White, Male, 0, 3770, 40, United-States, <=50K
+26, Private, 199143, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 50, United-States, <=50K
+60, Private, 131681, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+28, Private, 346406, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 1672, 50, United-States, <=50K
+33, Federal-gov, 391122, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+29, Local-gov, 280344, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+54, State-gov, 188809, Doctorate, 16, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, >50K
+41, Private, 277488, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 36, United-States, <=50K
+63, Self-emp-not-inc, 181561, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+31, Private, 158545, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 27, United-States, <=50K
+23, Private, 313573, Bachelors, 13, Never-married, Sales, Own-child, Black, Female, 0, 0, 25, United-States, <=50K
+31, Private, 591711, Some-college, 10, Married-spouse-absent, Transport-moving, Not-in-family, Black, Male, 0, 0, 40, ?, <=50K
+41, Private, 268183, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K
+51, Private, 392286, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K
+59, Private, 233312, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+23, Private, 520231, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+24, Self-emp-not-inc, 186831, Some-college, 10, Never-married, Exec-managerial, Not-in-family, Black, Male, 0, 0, 45, United-States, <=50K
+67, Self-emp-not-inc, 141085, HS-grad, 9, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+65, ?, 198019, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+47, Local-gov, 198660, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+21, Private, 409230, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Guatemala, <=50K
+38, Private, 376025, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K
+55, Private, 80167, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+39, Private, 99357, Masters, 14, Divorced, Prof-specialty, Own-child, White, Female, 1506, 0, 40, United-States, <=50K
+24, Private, 82847, HS-grad, 9, Separated, Other-service, Unmarried, White, Female, 0, 0, 50, Portugal, >50K
+24, Private, 22201, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Thailand, <=50K
+38, Private, 275223, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 7298, 0, 40, United-States, >50K
+19, Private, 117595, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 24, United-States, <=50K
+32, Private, 207668, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+63, Self-emp-not-inc, 179981, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K
+18, Private, 192583, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+36, Private, 66304, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K
+41, Private, 200671, Bachelors, 13, Divorced, Transport-moving, Own-child, Black, Male, 6497, 0, 40, United-States, <=50K
+57, Private, 32365, Some-college, 10, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+48, Private, 28497, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+44, Private, 222978, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 1504, 40, United-States, <=50K
+25, Private, 160261, Some-college, 10, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, China, <=50K
+48, Private, 120724, 12th, 8, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K
+20, Private, 91733, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 8, United-States, <=50K
+74, Self-emp-not-inc, 146929, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K
+44, Private, 205706, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+26, Private, 181666, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, United-States, <=50K
+54, Local-gov, 279452, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K
+39, Private, 207568, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 48, United-States, >50K
+38, Private, 22494, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 7443, 0, 40, United-States, <=50K
+18, Private, 210026, 10th, 6, Never-married, Other-service, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+32, Local-gov, 190889, Masters, 14, Never-married, Prof-specialty, Not-in-family, Other, Female, 0, 0, 40, ?, <=50K
+24, Private, 109869, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+19, Self-emp-not-inc, 285263, 9th, 5, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 35, Mexico, <=50K
+28, Private, 192588, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 232945, HS-grad, 9, Separated, Handlers-cleaners, Not-in-family, Other, Male, 0, 0, 30, United-States, <=50K
+49, Local-gov, 31339, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+50, Private, 305147, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+63, Private, 188914, HS-grad, 9, Widowed, Machine-op-inspct, Other-relative, Black, Female, 0, 0, 40, Haiti, <=50K
+58, Self-emp-not-inc, 141165, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K
+68, Self-emp-inc, 136218, HS-grad, 9, Widowed, Other-service, Unmarried, White, Female, 0, 0, 15, United-States, <=50K
+41, Federal-gov, 371382, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, United-States, >50K
+21, ?, 199177, HS-grad, 9, Never-married, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+27, Private, 221366, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 3103, 0, 50, United-States, >50K
+24, Private, 403671, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+50, Private, 193871, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+47, Private, 306183, Some-college, 10, Divorced, Other-service, Own-child, White, Female, 0, 0, 44, United-States, <=50K
+64, ?, 159938, HS-grad, 9, Divorced, ?, Not-in-family, White, Male, 8614, 0, 40, United-States, >50K
+54, Private, 124194, HS-grad, 9, Widowed, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+28, Private, 69847, Bachelors, 13, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female, 0, 0, 30, United-States, <=50K
+26, State-gov, 169323, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+35, State-gov, 172327, Bachelors, 13, Separated, Exec-managerial, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K
+48, Private, 118889, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 2885, 0, 15, United-States, <=50K
+50, Private, 166220, Assoc-acdm, 12, Married-civ-spouse, Sales, Wife, White, Female, 3942, 0, 40, United-States, <=50K
+39, Private, 186420, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+46, Private, 192779, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, >50K
+41, Private, 105616, Some-college, 10, Widowed, Adm-clerical, Unmarried, Black, Female, 0, 0, 48, United-States, <=50K
+24, Private, 141113, 7th-8th, 4, Married-civ-spouse, Sales, Husband, White, Male, 2580, 0, 40, United-States, <=50K
+57, Private, 160275, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 164507, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, Columbia, <=50K
+41, Private, 207578, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 50, India, >50K
+55, Private, 314592, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+41, ?, 254630, Assoc-voc, 11, Divorced, ?, Not-in-family, White, Male, 0, 0, 80, United-States, <=50K
+69, Private, 159522, 7th-8th, 4, Divorced, Machine-op-inspct, Unmarried, Black, Female, 2964, 0, 40, United-States, <=50K
+22, Private, 112130, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+45, Private, 192835, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 3942, 0, 40, United-States, <=50K
+33, Private, 206280, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+57, Private, 308861, Some-college, 10, Separated, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+38, Self-emp-not-inc, 93206, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 1902, 65, United-States, >50K
+40, Private, 206066, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+48, Self-emp-not-inc, 309895, Some-college, 10, Divorced, Handlers-cleaners, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+38, Local-gov, 216129, Some-college, 10, Married-spouse-absent, Exec-managerial, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K
+26, State-gov, 287420, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K
+24, Private, 163595, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 170092, HS-grad, 9, Married-spouse-absent, Other-service, Unmarried, Black, Female, 0, 0, 20, United-States, <=50K
+37, Private, 287031, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 5178, 0, 75, United-States, >50K
+42, Private, 59474, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 99151, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K
+37, Private, 206888, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+28, Private, 177119, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 80, ?, <=50K
+22, Private, 173736, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 182163, 11th, 7, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, Germany, <=50K
+45, Local-gov, 311080, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+29, Self-emp-not-inc, 389857, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, >50K
+23, Private, 297152, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 25, United-States, <=50K
+24, Federal-gov, 130534, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 137301, Assoc-acdm, 12, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+58, Private, 316235, HS-grad, 9, Divorced, Sales, Other-relative, White, Female, 0, 0, 32, United-States, <=50K
+28, Self-emp-inc, 32922, Assoc-voc, 11, Never-married, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+58, Private, 118303, HS-grad, 9, Widowed, Sales, Not-in-family, White, Female, 0, 0, 35, United-States, >50K
+18, Private, 188241, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 16, United-States, <=50K
+59, Private, 236731, 7th-8th, 4, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, Puerto-Rico, <=50K
+39, Private, 209397, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+53, Self-emp-inc, 290640, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+54, Private, 221915, Prof-school, 15, Never-married, Prof-specialty, Other-relative, White, Female, 0, 0, 65, United-States, <=50K
+51, Private, 175246, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K
+59, Private, 159724, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 7298, 0, 55, United-States, >50K
+42, State-gov, 160369, HS-grad, 9, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+36, Private, 461337, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K
+37, Private, 187311, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K
+32, Private, 29312, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+38, Self-emp-not-inc, 197365, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 50, United-States, <=50K
+19, Private, 301747, HS-grad, 9, Separated, Adm-clerical, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+55, Local-gov, 135439, Bachelors, 13, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K
+30, Private, 340917, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 155057, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+65, ?, 200749, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 25, United-States, <=50K
+44, Private, 323627, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 5, United-States, <=50K
+23, ?, 154921, 5th-6th, 3, Never-married, ?, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+32, Private, 131425, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, <=50K
+60, Private, 184242, HS-grad, 9, Married-spouse-absent, Other-service, Unmarried, White, Female, 0, 0, 20, United-States, <=50K
+28, Private, 149769, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, Cambodia, <=50K
+44, Private, 124924, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+29, Private, 253003, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 16, United-States, <=50K
+57, State-gov, 250976, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+41, Private, 104196, Some-college, 10, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+34, Self-emp-not-inc, 250182, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K
+44, Private, 188331, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 42, United-States, <=50K
+44, Private, 187322, Bachelors, 13, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+57, Private, 130714, 1st-4th, 2, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 22, United-States, <=50K
+37, Private, 40955, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+35, Private, 107125, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 16, United-States, >50K
+51, Private, 145714, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 50, ?, >50K
+27, Private, 133937, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+41, State-gov, 293485, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 3103, 0, 40, United-States, >50K
+28, ?, 203260, Bachelors, 13, Never-married, ?, Not-in-family, White, Male, 0, 0, 8, United-States, <=50K
+37, Self-emp-not-inc, 143368, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K
+18, Private, 51789, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 8, United-States, <=50K
+24, State-gov, 211049, 7th-8th, 4, Never-married, Tech-support, Unmarried, White, Female, 0, 0, 20, United-States, <=50K
+53, Private, 81794, 12th, 8, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K
+40, Private, 139193, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 1980, 48, United-States, <=50K
+54, Private, 150999, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+22, Private, 332657, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+44, Private, 240043, 10th, 6, Married-spouse-absent, Adm-clerical, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K
+43, Private, 186188, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 45, Iran, <=50K
+58, State-gov, 223400, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 20, United-States, >50K
+59, Local-gov, 102442, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 45, United-States, >50K
+31, Private, 236599, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+35, Private, 283237, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+17, Private, 150106, 10th, 6, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+45, Private, 102076, Some-college, 10, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 32, United-States, <=50K
+40, Private, 374764, Some-college, 10, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 32528, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 45, United-States, <=50K
+25, Federal-gov, 50053, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+58, Private, 212864, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+39, Private, 30673, Some-college, 10, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 50, United-States, >50K
+69, ?, 248248, 1st-4th, 2, Married-civ-spouse, ?, Husband, Asian-Pac-Islander, Male, 0, 0, 34, Philippines, <=50K
+23, Private, 419554, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 54, United-States, <=50K
+32, State-gov, 177216, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+48, Private, 118158, Assoc-acdm, 12, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 44, United-States, <=50K
+41, Private, 116391, Bachelors, 13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Germany, <=50K
+74, Private, 194312, 9th, 5, Widowed, Craft-repair, Not-in-family, White, Male, 0, 0, 10, ?, <=50K
+43, Private, 111895, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+18, Private, 193290, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 1721, 20, United-States, <=50K
+24, Federal-gov, 287988, Bachelors, 13, Never-married, Armed-Forces, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+58, Private, 147653, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 32, United-States, <=50K
+54, Private, 117674, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+60, Private, 187458, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 410351, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K
+41, Private, 207578, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K
+62, ?, 55621, Some-college, 10, Married-civ-spouse, ?, Husband, Black, Male, 0, 0, 35, United-States, >50K
+27, State-gov, 271243, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Male, 0, 0, 40, Jamaica, <=50K
+30, Private, 188798, Some-college, 10, Divorced, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+63, Local-gov, 168656, Bachelors, 13, Divorced, Craft-repair, Not-in-family, Black, Male, 0, 0, 35, Outlying-US(Guam-USVI-etc), <=50K
+33, Private, 460408, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 3325, 0, 50, United-States, <=50K
+34, Private, 241885, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K
+20, ?, 133061, 9th, 5, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+51, Private, 194097, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 219137, 10th, 6, Never-married, Other-service, Own-child, Black, Male, 0, 0, 25, United-States, <=50K
+50, Private, 31621, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+43, Private, 207685, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 57052, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 2885, 0, 40, United-States, <=50K
+19, Private, 109854, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+20, ?, 369678, HS-grad, 9, Never-married, ?, Not-in-family, Other, Male, 0, 0, 43, United-States, <=50K
+17, Private, 53611, 12th, 8, Never-married, Other-service, Own-child, White, Female, 0, 0, 6, United-States, <=50K
+47, Private, 344916, Assoc-acdm, 12, Divorced, Transport-moving, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+25, Local-gov, 198813, Bachelors, 13, Never-married, Adm-clerical, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K
+71, Private, 180733, Masters, 14, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+21, Private, 188073, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+69, ?, 159077, 11th, 7, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 48, United-States, <=50K
+48, Private, 174829, Assoc-acdm, 12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+57, Private, 142791, 7th-8th, 4, Widowed, Sales, Other-relative, White, Female, 0, 1602, 3, United-States, <=50K
+58, Self-emp-not-inc, 43221, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 2415, 40, United-States, >50K
+34, Private, 188736, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Other-relative, Other, Female, 0, 0, 20, Columbia, <=50K
+33, Local-gov, 222654, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 66, ?, <=50K
+56, Private, 251836, 5th-6th, 3, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, ?, <=50K
+40, Federal-gov, 112388, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 209641, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 32, United-States, <=50K
+42, Private, 313945, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, Ecuador, <=50K
+19, ?, 134974, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+41, Private, 152742, Assoc-voc, 11, Divorced, Tech-support, Not-in-family, White, Female, 3325, 0, 40, United-States, <=50K
+28, Self-emp-inc, 153291, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+40, Private, 353432, 10th, 6, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+23, Private, 96635, Some-college, 10, Never-married, Machine-op-inspct, Own-child, Asian-Pac-Islander, Male, 0, 0, 30, United-States, <=50K
+46, ?, 202560, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 40, United-States, >50K
+39, Private, 150057, Masters, 14, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, >50K
+39, Private, 114844, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 1876, 50, United-States, <=50K
+45, Private, 132847, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+21, ?, 41356, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+50, Self-emp-not-inc, 93705, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+33, Private, 309350, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 123084, 11th, 7, Married-civ-spouse, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+55, Private, 174662, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 32, United-States, <=50K
+62, Federal-gov, 177295, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+31, Private, 211880, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+35, Self-emp-not-inc, 454915, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 232475, HS-grad, 9, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+57, Self-emp-inc, 244605, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+50, Private, 150876, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 1887, 55, United-States, >50K
+51, Private, 257337, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K
+47, Private, 329144, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 4386, 0, 45, United-States, >50K
+37, Private, 116960, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, >50K
+58, Private, 267663, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+39, Private, 47871, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 50, United-States, >50K
+34, Private, 295922, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, England, >50K
+45, Private, 175625, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 38, United-States, <=50K
+19, ?, 129586, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+42, Private, 190179, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 40, United-States, >50K
+40, Private, 168071, Assoc-voc, 11, Divorced, Tech-support, Not-in-family, White, Male, 3325, 0, 40, United-States, <=50K
+39, Self-emp-not-inc, 202027, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 50, United-States, >50K
+36, Private, 202662, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+56, Private, 101436, HS-grad, 9, Divorced, Adm-clerical, Other-relative, Amer-Indian-Eskimo, Female, 0, 0, 35, United-States, <=50K
+19, ?, 119234, Some-college, 10, Never-married, ?, Other-relative, White, Female, 0, 0, 15, United-States, <=50K
+37, Private, 360743, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, >50K
+60, Local-gov, 93272, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+56, Private, 145574, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+51, Private, 101722, 7th-8th, 4, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male, 3908, 0, 47, United-States, <=50K
+34, Private, 135785, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K
+23, ?, 218415, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 10, United-States, <=50K
+19, Private, 127709, HS-grad, 9, Never-married, Farming-fishing, Own-child, Black, Male, 0, 0, 30, United-States, <=50K
+37, Federal-gov, 448337, HS-grad, 9, Never-married, Exec-managerial, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+58, Private, 310320, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+33, Private, 251521, 11th, 7, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+39, Private, 255503, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+36, Private, 116608, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 4865, 0, 40, United-States, <=50K
+26, Private, 71009, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K
+22, Private, 174975, Assoc-voc, 11, Never-married, Tech-support, Own-child, White, Female, 0, 0, 36, United-States, <=50K
+32, Private, 108023, Masters, 14, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+17, Private, 204018, 11th, 7, Never-married, Sales, Unmarried, White, Male, 0, 0, 15, United-States, <=50K
+57, ?, 366563, Some-college, 10, Divorced, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+68, Private, 121846, 7th-8th, 4, Widowed, Other-service, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 20, United-States, <=50K
+70, Private, 278139, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 3432, 0, 40, United-States, <=50K
+30, Private, 114691, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+19, State-gov, 536725, Some-college, 10, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 15, Japan, <=50K
+51, Private, 94432, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+19, Private, 286002, Some-college, 10, Never-married, Adm-clerical, Other-relative, White, Male, 0, 0, 30, Nicaragua, <=50K
+47, Private, 101684, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+41, Private, 352834, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 55, United-States, >50K
+36, Private, 99146, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 1887, 40, United-States, >50K
+30, Private, 231413, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+26, Private, 158846, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, <=50K
+41, Local-gov, 190786, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K
+25, Private, 306513, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, <=50K
+62, Private, 152148, 9th, 5, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 309580, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+26, ?, 130832, Bachelors, 13, Never-married, ?, Unmarried, White, Female, 0, 0, 10, United-States, <=50K
+25, Private, 194897, HS-grad, 9, Never-married, Sales, Own-child, Amer-Indian-Eskimo, Male, 6849, 0, 40, United-States, <=50K
+30, Private, 130078, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+48, Private, 39986, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 379198, HS-grad, 9, Never-married, Other-service, Other-relative, Other, Male, 0, 0, 40, Mexico, <=50K
+51, Private, 189762, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 15, United-States, >50K
+19, Private, 178147, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 10, United-States, <=50K
+31, Private, 332379, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 175759, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 50, United-States, >50K
+21, ?, 262062, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+40, Private, 275446, HS-grad, 9, Never-married, Sales, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+30, Self-emp-not-inc, 278522, 11th, 7, Never-married, Farming-fishing, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+28, Self-emp-not-inc, 54683, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 1590, 40, United-States, <=50K
+57, Private, 136107, 9th, 5, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, >50K
+18, Private, 205894, 11th, 7, Never-married, Sales, Own-child, White, Male, 0, 0, 15, United-States, <=50K
+54, Private, 210736, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+32, Private, 166634, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+52, Private, 185283, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 180553, HS-grad, 9, Separated, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+45, Private, 199058, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 48, ?, <=50K
+18, Private, 145005, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+37, Self-emp-not-inc, 184655, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+52, Private, 358554, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, >50K
+59, Private, 307423, 9th, 5, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 50, United-States, <=50K
+27, Private, 472070, Assoc-voc, 11, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+43, Federal-gov, 115562, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+56, Private, 32446, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+44, Self-emp-not-inc, 33121, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 72, United-States, <=50K
+37, Private, 183345, Assoc-voc, 11, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+28, Private, 119793, Assoc-voc, 11, Divorced, Exec-managerial, Not-in-family, White, Male, 10520, 0, 50, United-States, >50K
+48, Self-emp-not-inc, 97883, HS-grad, 9, Separated, Other-service, Other-relative, White, Female, 0, 0, 25, United-States, <=50K
+58, Self-emp-not-inc, 31732, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K
+29, Private, 206250, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+37, Private, 103323, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+35, Self-emp-inc, 135436, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+36, Private, 376455, Assoc-voc, 11, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K
+52, Private, 160703, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 48, United-States, <=50K
+30, Private, 131699, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 243842, 9th, 5, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+55, Self-emp-not-inc, 349910, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K
+61, Private, 170262, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 15024, 0, 38, United-States, >50K
+33, Private, 184306, HS-grad, 9, Divorced, Handlers-cleaners, Unmarried, White, Male, 0, 0, 30, United-States, <=50K
+46, Private, 224202, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K
+64, Private, 151540, 11th, 7, Widowed, Tech-support, Unmarried, White, Female, 0, 0, 16, United-States, <=50K
+28, Private, 231197, 10th, 6, Married-spouse-absent, Craft-repair, Unmarried, White, Male, 0, 0, 40, Mexico, <=50K
+19, Private, 279968, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 42, United-States, <=50K
+36, Private, 162651, HS-grad, 9, Separated, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, Columbia, <=50K
+43, Self-emp-not-inc, 130126, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+39, Self-emp-not-inc, 160120, Doctorate, 16, Divorced, Adm-clerical, Other-relative, Other, Male, 0, 0, 40, ?, <=50K
+56, Private, 161662, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 42, United-States, >50K
+24, Local-gov, 201664, Some-college, 10, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 137142, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K
+45, Self-emp-inc, 122206, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+56, Local-gov, 183169, Masters, 14, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+46, Private, 126513, HS-grad, 9, Separated, Craft-repair, Unmarried, Black, Female, 0, 0, 40, ?, <=50K
+35, Federal-gov, 185053, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+36, Self-emp-not-inc, 408427, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K
+50, Self-emp-not-inc, 198581, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+61, Private, 199198, 7th-8th, 4, Widowed, Other-service, Not-in-family, Black, Female, 0, 0, 21, United-States, <=50K
+31, Private, 184306, Assoc-voc, 11, Never-married, Transport-moving, Own-child, White, Male, 0, 1980, 60, United-States, <=50K
+63, Private, 172740, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+41, Private, 205153, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+48, Private, 164964, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+45, Private, 162606, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+24, Private, 179627, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 103408, Some-college, 10, Divorced, Prof-specialty, Not-in-family, Black, Male, 0, 0, 40, Germany, >50K
+27, Private, 36440, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+26, Private, 57512, Assoc-voc, 11, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 48, United-States, <=50K
+27, Private, 187981, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+55, Private, 393768, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 108726, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+31, Private, 180551, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K
+51, Self-emp-not-inc, 176240, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+56, Private, 70720, 12th, 8, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+39, Private, 35890, Assoc-acdm, 12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+50, Private, 283676, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+34, Local-gov, 105540, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2051, 40, United-States, <=50K
+44, Private, 408717, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 3674, 0, 50, United-States, <=50K
+21, Private, 57916, HS-grad, 9, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 177974, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 70, United-States, <=50K
+34, ?, 177304, 10th, 6, Divorced, ?, Not-in-family, White, Male, 0, 0, 40, Columbia, <=50K
+18, Private, 115839, 12th, 8, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+34, ?, 205256, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 2885, 0, 80, United-States, <=50K
+38, Private, 117802, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 65, United-States, >50K
+19, Private, 211355, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 12, United-States, <=50K
+46, Private, 173243, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+19, Private, 343200, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+22, Private, 401690, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, Mexico, <=50K
+38, Private, 196123, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+33, Private, 168981, Masters, 14, Divorced, Exec-managerial, Own-child, White, Female, 14084, 0, 50, United-States, >50K
+83, Self-emp-not-inc, 213866, HS-grad, 9, Widowed, Exec-managerial, Not-in-family, White, Male, 0, 0, 8, United-States, <=50K
+34, Private, 55176, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K
+38, Private, 153976, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 119176, Some-college, 10, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+27, Private, 169117, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 1887, 40, United-States, >50K
+38, Private, 156550, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K
+25, Private, 109609, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K
+38, Private, 26698, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K
+52, Private, 236497, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 48, United-States, >50K
+33, State-gov, 306309, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+17, Private, 242773, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+28, Private, 124680, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 6849, 0, 60, United-States, <=50K
+52, Local-gov, 43909, HS-grad, 9, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+34, Private, 112820, HS-grad, 9, Separated, Handlers-cleaners, Not-in-family, White, Male, 2463, 0, 40, United-States, <=50K
+25, Private, 148300, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+17, Private, 133449, 9th, 5, Never-married, Other-service, Own-child, Black, Male, 0, 0, 26, United-States, <=50K
+22, Private, 263670, HS-grad, 9, Never-married, Other-service, Own-child, Black, Male, 0, 0, 80, United-States, <=50K
+22, Private, 276494, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+46, Private, 190115, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 1887, 40, United-States, >50K
+58, Private, 317479, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+39, Private, 151248, Some-college, 10, Divorced, Sales, Other-relative, White, Female, 0, 0, 35, United-States, <=50K
+59, Local-gov, 130532, Some-college, 10, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 40, Poland, <=50K
+61, Private, 160062, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 299635, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+50, Private, 171225, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, >50K
+51, Private, 33304, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+43, Private, 95634, Bachelors, 13, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female, 0, 0, 45, ?, <=50K
+20, Private, 243878, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+38, Local-gov, 181721, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+44, Federal-gov, 201435, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, >50K
+28, Private, 334032, Assoc-voc, 11, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+50, Private, 220019, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, <=50K
+53, Private, 71772, Doctorate, 16, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+42, Self-emp-not-inc, 27661, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K
+47, Private, 191411, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 45, India, <=50K
+39, Private, 123945, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K
+38, Self-emp-not-inc, 37778, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+34, State-gov, 171216, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 50, United-States, <=50K
+40, Private, 93955, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, <=50K
+63, Private, 163809, Some-college, 10, Widowed, Sales, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+53, Private, 346754, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K
+43, Private, 188436, Assoc-voc, 11, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K
+28, Private, 72443, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 1669, 60, United-States, <=50K
+68, Private, 186350, HS-grad, 9, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 10, United-States, >50K
+22, ?, 214238, 7th-8th, 4, Never-married, ?, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K
+46, State-gov, 394860, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 38, United-States, <=50K
+57, Private, 262642, HS-grad, 9, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+38, Private, 125550, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+66, Private, 192504, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 131310, Assoc-acdm, 12, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+54, Private, 249322, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 50, United-States, >50K
+38, Private, 172755, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 209993, 11th, 7, Separated, Priv-house-serv, Unmarried, White, Female, 0, 0, 8, Mexico, <=50K
+30, Private, 166961, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 37, United-States, <=50K
+39, Private, 315291, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+31, Private, 284703, Masters, 14, Never-married, Prof-specialty, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+50, Private, 166565, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, <=50K
+30, Self-emp-not-inc, 173854, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K
+25, Private, 189219, Bachelors, 13, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+24, Private, 210781, Bachelors, 13, Never-married, Priv-house-serv, Not-in-family, White, Female, 0, 0, 40, France, <=50K
+59, Local-gov, 171328, HS-grad, 9, Separated, Protective-serv, Other-relative, Black, Female, 0, 2339, 40, United-States, <=50K
+45, Private, 199832, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 15, United-States, <=50K
+64, Private, 251292, 5th-6th, 3, Separated, Other-service, Other-relative, White, Female, 0, 0, 20, Cuba, <=50K
+61, Private, 122246, 12th, 8, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K
+42, Private, 190767, Assoc-voc, 11, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+28, Private, 278736, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+53, Private, 124963, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+33, Self-emp-not-inc, 167476, 11th, 7, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 7, United-States, <=50K
+34, Local-gov, 246104, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+41, Private, 171615, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 48, United-States, <=50K
+67, Private, 264095, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 9386, 0, 24, Cuba, >50K
+46, Private, 177114, Assoc-acdm, 12, Widowed, Prof-specialty, Unmarried, White, Female, 0, 0, 27, United-States, <=50K
+32, Private, 146154, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, <=50K
+41, Private, 198196, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 79712, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Other, Male, 0, 0, 40, United-States, <=50K
+54, Self-emp-not-inc, 154785, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+33, Private, 182423, HS-grad, 9, Divorced, Other-service, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K
+20, ?, 347292, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 32, United-States, <=50K
+34, Private, 118584, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+20, Private, 219835, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 30, ?, <=50K
+17, ?, 148769, HS-grad, 9, Never-married, ?, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+45, Private, 197418, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K
+21, Private, 253190, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 192273, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 129573, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 41, United-States, <=50K
+17, Private, 173807, 11th, 7, Never-married, Craft-repair, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+35, Private, 217893, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+38, Private, 102938, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+48, Local-gov, 407495, Assoc-acdm, 12, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 56, United-States, >50K
+25, Private, 50053, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 40, Japan, <=50K
+57, Private, 233382, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, Cuba, <=50K
+32, Private, 270968, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, >50K
+39, Local-gov, 272166, Bachelors, 13, Separated, Prof-specialty, Not-in-family, Black, Male, 0, 0, 30, United-States, <=50K
+23, Private, 199915, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+21, Private, 305781, HS-grad, 9, Never-married, Handlers-cleaners, Unmarried, White, Male, 0, 0, 45, United-States, <=50K
+47, Private, 107682, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 48, United-States, <=50K
+25, Private, 188507, 7th-8th, 4, Never-married, Machine-op-inspct, Other-relative, White, Female, 0, 0, 40, Dominican-Republic, <=50K
+18, ?, 28311, 11th, 7, Never-married, ?, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+41, Federal-gov, 197069, Some-college, 10, Married-spouse-absent, Adm-clerical, Not-in-family, Black, Male, 4650, 0, 40, United-States, <=50K
+19, Private, 177839, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+24, Private, 77665, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K
+57, Private, 127728, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K
+51, ?, 172175, Doctorate, 16, Never-married, ?, Not-in-family, White, Male, 0, 2824, 40, United-States, >50K
+32, Private, 106742, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+28, Self-emp-not-inc, 192838, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+40, Private, 79531, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 75, United-States, >50K
+21, State-gov, 337766, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+45, Self-emp-not-inc, 33234, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+17, ?, 34088, 12th, 8, Never-married, ?, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+55, Private, 176904, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K
+42, Private, 172148, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+49, Private, 199058, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 38, United-States, <=50K
+38, Private, 48093, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+50, Private, 143664, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+47, Private, 168337, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, >50K
+43, Private, 195212, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, Black, Female, 0, 0, 40, ?, <=50K
+39, Private, 230329, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, Canada, >50K
+42, Private, 376072, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 30, United-States, <=50K
+32, Private, 430175, HS-grad, 9, Divorced, Craft-repair, Other-relative, Black, Female, 0, 0, 50, United-States, <=50K
+44, Federal-gov, 240628, Assoc-acdm, 12, Divorced, Exec-managerial, Not-in-family, White, Female, 2354, 0, 40, United-States, <=50K
+50, Self-emp-inc, 158294, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 80, United-States, >50K
+55, Private, 28735, HS-grad, 9, Divorced, Adm-clerical, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 45, United-States, <=50K
+37, Private, 167482, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+59, Private, 113203, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+56, Private, 103948, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+33, Self-emp-not-inc, 310525, 12th, 8, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 32, United-States, <=50K
+35, Private, 105138, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K
+44, Private, 153489, HS-grad, 9, Never-married, Other-service, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+57, State-gov, 254949, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+31, Private, 118149, Some-college, 10, Never-married, Exec-managerial, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+18, Private, 267965, 11th, 7, Never-married, Sales, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K
+43, Private, 50646, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 70, United-States, <=50K
+33, Private, 147700, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Other, Male, 0, 0, 40, United-States, <=50K
+18, Private, 446771, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 25, United-States, <=50K
+47, Private, 168262, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+53, Private, 117058, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+59, Self-emp-not-inc, 140957, Assoc-voc, 11, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 35, United-States, >50K
+35, Private, 186126, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 38, ?, <=50K
+49, Private, 268234, 10th, 6, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 485117, Assoc-acdm, 12, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 31350, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 60, England, <=50K
+36, State-gov, 210830, Masters, 14, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+29, Private, 196420, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+52, Private, 172165, 10th, 6, Divorced, Other-service, Other-relative, White, Female, 0, 0, 25, United-States, <=50K
+50, Self-emp-not-inc, 186565, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K
+22, Private, 119359, Bachelors, 13, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K
+44, Self-emp-not-inc, 109684, Masters, 14, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+32, Private, 169589, Assoc-voc, 11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K
+49, Private, 125421, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 38, United-States, <=50K
+31, Private, 500002, 1st-4th, 2, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 45, Mexico, <=50K
+33, Private, 224141, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+50, Private, 113290, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 15, United-States, <=50K
+62, ?, 123992, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 58098, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 1974, 40, United-States, <=50K
+46, ?, 37672, HS-grad, 9, Divorced, ?, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K
+55, Private, 198145, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 40, United-States, >50K
+49, Federal-gov, 35406, HS-grad, 9, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+22, Private, 199419, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, <=50K
+43, Private, 145441, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 38, United-States, >50K
+58, Private, 238438, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 42, United-States, <=50K
+48, State-gov, 212954, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 40, United-States, >50K
+21, Private, 56582, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 50, United-States, <=50K
+67, Local-gov, 176931, 7th-8th, 4, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+39, Self-emp-not-inc, 188571, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+52, Federal-gov, 312500, Assoc-voc, 11, Divorced, Farming-fishing, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+25, Private, 278404, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+27, Self-emp-not-inc, 114225, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, United-States, >50K
+18, Private, 184016, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+41, Local-gov, 183009, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, >50K
+59, Private, 205759, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+23, Private, 462294, Assoc-acdm, 12, Never-married, Other-service, Own-child, Black, Male, 0, 0, 44, United-States, <=50K
+42, Private, 102085, HS-grad, 9, Divorced, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+54, Self-emp-not-inc, 83311, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 30, United-States, >50K
+39, Private, 248694, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+57, Local-gov, 190747, 9th, 5, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+51, Private, 162988, 10th, 6, Divorced, Other-service, Unmarried, White, Female, 0, 0, 25, United-States, <=50K
+31, Self-emp-not-inc, 156890, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 310380, Some-college, 10, Married-spouse-absent, Adm-clerical, Own-child, Black, Female, 0, 0, 45, United-States, <=50K
+35, Private, 172186, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 311497, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+42, Self-emp-inc, 443508, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K
+31, Private, 152156, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+46, Private, 155890, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K
+38, State-gov, 312528, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 37, United-States, <=50K
+51, Private, 282744, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, Canada, <=50K
+27, Private, 205145, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+33, ?, 119918, Bachelors, 13, Never-married, ?, Not-in-family, Black, Male, 0, 0, 45, ?, <=50K
+22, Private, 401451, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 48, United-States, >50K
+72, ?, 173427, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, Cuba, <=50K
+25, Private, 189027, Bachelors, 13, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+58, Self-emp-not-inc, 35551, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 70, United-States, >50K
+23, Private, 42706, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+63, Private, 106910, 5th-6th, 3, Widowed, Other-service, Other-relative, Asian-Pac-Islander, Female, 0, 0, 19, Philippines, <=50K
+23, Private, 53245, 9th, 5, Separated, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+51, Private, 221672, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 50, United-States, >50K
+75, Private, 71898, Preschool, 1, Never-married, Priv-house-serv, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 48, Philippines, <=50K
+52, Private, 222107, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 50, United-States, <=50K
+69, Private, 277588, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 10, United-States, <=50K
+52, Private, 178983, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, ?, >50K
+40, Federal-gov, 391744, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+34, Private, 418020, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+21, State-gov, 39236, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 8, United-States, <=50K
+30, Private, 86808, Bachelors, 13, Never-married, Prof-specialty, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+46, Private, 147640, 5th-6th, 3, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male, 0, 1902, 40, United-States, <=50K
+21, Private, 184756, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 16, United-States, <=50K
+44, Private, 191256, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+51, State-gov, 105943, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 3908, 0, 40, United-States, <=50K
+40, Private, 101272, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K
+33, State-gov, 175023, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 37, United-States, <=50K
+22, Self-emp-not-inc, 357612, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K
+23, Private, 82777, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 30, United-States, <=50K
+75, Self-emp-not-inc, 218521, Some-college, 10, Married-spouse-absent, Craft-repair, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+55, Private, 179534, 11th, 7, Widowed, Handlers-cleaners, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+24, ?, 33339, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+45, Private, 148549, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 27828, 0, 56, United-States, >50K
+31, Private, 198069, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 24, United-States, <=50K
+49, Private, 236586, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+26, Local-gov, 167261, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+61, Private, 160942, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 3103, 0, 50, United-States, <=50K
+44, Private, 107584, Masters, 14, Married-civ-spouse, Adm-clerical, Husband, White, Male, 3908, 0, 50, United-States, <=50K
+28, Local-gov, 251854, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+79, ?, 163140, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, >50K
+51, Private, 302579, HS-grad, 9, Divorced, Other-service, Other-relative, Black, Female, 0, 0, 30, United-States, <=50K
+44, Self-emp-inc, 64632, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K
+24, Private, 83141, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+46, Self-emp-inc, 326048, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+36, Private, 83471, HS-grad, 9, Widowed, Other-service, Unmarried, Asian-Pac-Islander, Female, 0, 0, 20, United-States, <=50K
+23, Private, 170070, 12th, 8, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K
+25, Private, 207875, 7th-8th, 4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+48, Private, 119722, Some-college, 10, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 8, United-States, <=50K
+18, Private, 335665, 11th, 7, Never-married, Other-service, Other-relative, Black, Female, 0, 0, 24, United-States, <=50K
+25, Private, 212522, HS-grad, 9, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+19, Private, 42069, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 2176, 0, 45, United-States, <=50K
+26, ?, 131777, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 2002, 40, United-States, <=50K
+33, Private, 236396, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+42, Private, 159911, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+22, Private, 133833, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+36, Private, 226947, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+33, Private, 174201, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+34, Self-emp-not-inc, 49707, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 70, United-States, <=50K
+33, Private, 201988, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K
+62, Self-emp-not-inc, 162347, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 15, United-States, >50K
+30, Private, 182833, Some-college, 10, Never-married, Exec-managerial, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+22, Private, 383603, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+34, Private, 70466, Assoc-voc, 11, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+43, Private, 184846, HS-grad, 9, Widowed, Machine-op-inspct, Unmarried, White, Female, 0, 0, 60, United-States, <=50K
+25, Private, 176756, Bachelors, 13, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 112512, HS-grad, 9, Widowed, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+28, Private, 137296, Assoc-acdm, 12, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+28, Private, 37821, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 45, United-States, <=50K
+25, Private, 295108, HS-grad, 9, Never-married, Handlers-cleaners, Unmarried, Black, Female, 0, 0, 25, United-States, <=50K
+40, Private, 408717, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+35, Private, 255635, 9th, 5, Married-civ-spouse, Craft-repair, Husband, Other, Male, 0, 0, 40, Mexico, <=50K
+48, Self-emp-not-inc, 177783, 7th-8th, 4, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+63, Self-emp-not-inc, 179400, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 2290, 0, 20, United-States, <=50K
+31, Private, 240283, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K
+36, Private, 410034, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+39, Private, 180667, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 196332, HS-grad, 9, Never-married, Other-service, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+32, Local-gov, 159187, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+46, Private, 225065, Preschool, 1, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, Mexico, <=50K
+19, Private, 178147, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+30, Private, 272669, Some-college, 10, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K
+35, Private, 347491, Assoc-voc, 11, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+23, ?, 146399, Bachelors, 13, Never-married, ?, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K
+33, Private, 75167, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 55, United-States, <=50K
+25, Private, 133373, HS-grad, 9, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+64, Local-gov, 84737, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 35, United-States, >50K
+18, Private, 96483, HS-grad, 9, Never-married, Other-service, Own-child, Asian-Pac-Islander, Female, 0, 0, 20, United-States, <=50K
+59, Private, 368005, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+45, State-gov, 36032, HS-grad, 9, Divorced, Protective-serv, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+30, Private, 174215, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K
+24, Private, 228772, 5th-6th, 3, Never-married, Machine-op-inspct, Other-relative, White, Female, 0, 0, 40, Mexico, <=50K
+22, Private, 242912, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 35, United-States, <=50K
+49, Self-emp-inc, 86701, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 56, United-States, >50K
+35, Private, 166549, 12th, 8, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+48, Local-gov, 121622, Masters, 14, Never-married, Prof-specialty, Unmarried, White, Female, 0, 1380, 40, United-States, <=50K
+18, Private, 201613, 12th, 8, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+35, Private, 29874, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 168138, HS-grad, 9, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 162404, Bachelors, 13, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 60, United-States, <=50K
+21, ?, 162160, Some-college, 10, Never-married, ?, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, Taiwan, <=50K
+26, Private, 139116, Some-college, 10, Never-married, Other-service, Own-child, Black, Female, 0, 0, 50, United-States, <=50K
+44, Private, 192381, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1848, 40, United-States, >50K
+39, Private, 370585, HS-grad, 9, Separated, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+40, State-gov, 151038, Bachelors, 13, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+70, Self-emp-not-inc, 36311, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 20051, 0, 35, United-States, >50K
+34, Private, 271933, Masters, 14, Never-married, Exec-managerial, Unmarried, White, Female, 0, 0, 50, United-States, <=50K
+34, Private, 182401, Assoc-acdm, 12, Divorced, Adm-clerical, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+66, Private, 234743, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K
+40, Private, 182140, HS-grad, 9, Separated, Transport-moving, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K
+61, Self-emp-not-inc, 215591, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 40, United-States, >50K
+59, Self-emp-not-inc, 96459, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+28, ?, 205562, Masters, 14, Never-married, ?, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+47, Private, 188081, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K
+33, State-gov, 121245, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K
+18, Private, 127273, 11th, 7, Never-married, Other-service, Other-relative, White, Male, 0, 0, 20, United-States, <=50K
+25, Private, 114345, 9th, 5, Never-married, Craft-repair, Unmarried, White, Male, 914, 0, 40, United-States, <=50K
+22, Private, 341227, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K
+40, Local-gov, 166893, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 40, United-States, >50K
+68, ?, 65730, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 25, United-States, <=50K
+30, Private, 145231, Assoc-acdm, 12, Divorced, Adm-clerical, Own-child, White, Female, 0, 1762, 40, United-States, <=50K
+73, Self-emp-not-inc, 102510, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 6418, 0, 99, United-States, >50K
+45, Self-emp-not-inc, 285335, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 10, United-States, <=50K
+23, Private, 177087, 11th, 7, Never-married, Adm-clerical, Unmarried, Black, Male, 0, 0, 35, United-States, <=50K
+40, Private, 240504, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K
+39, Private, 218490, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 40, United-States, >50K
+23, Private, 384651, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+51, Private, 189551, HS-grad, 9, Divorced, Craft-repair, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+53, Private, 194791, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 45, United-States, <=50K
+24, Private, 194630, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+53, Private, 177647, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+49, Self-emp-not-inc, 51620, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K
+34, Private, 251421, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+37, Self-emp-not-inc, 180477, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 47, United-States, <=50K
+40, State-gov, 391736, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+23, State-gov, 170091, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 6, United-States, <=50K
+36, Private, 175360, Masters, 14, Never-married, Adm-clerical, Not-in-family, White, Male, 13550, 0, 50, United-States, >50K
+35, Private, 276153, Bachelors, 13, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Female, 4650, 0, 40, United-States, <=50K
+53, Federal-gov, 105788, Bachelors, 13, Divorced, Exec-managerial, Unmarried, Black, Female, 0, 0, 50, United-States, >50K
+42, Local-gov, 248476, Some-college, 10, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 65, United-States, >50K
+32, Private, 168443, Masters, 14, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K
+33, Private, 120201, HS-grad, 9, Divorced, Adm-clerical, Own-child, Other, Female, 0, 0, 65, United-States, <=50K
+59, Private, 114678, HS-grad, 9, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 60, United-States, <=50K
+36, Private, 167440, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 44, United-States, <=50K
+37, Self-emp-not-inc, 265266, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, Cuba, >50K
+31, Private, 212235, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+46, Private, 44671, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K
+44, State-gov, 87282, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 38, United-States, <=50K
+27, Private, 112754, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1485, 60, United-States, >50K
+29, Self-emp-not-inc, 322238, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+39, Private, 65382, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+62, Self-emp-not-inc, 115176, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 65, United-States, <=50K
+48, Self-emp-not-inc, 162236, Masters, 14, Widowed, Exec-managerial, Unmarried, White, Female, 0, 0, 40, ?, >50K
+42, Private, 409902, HS-grad, 9, Never-married, Exec-managerial, Unmarried, Black, Female, 0, 0, 25, United-States, <=50K
+60, Local-gov, 204062, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 48, United-States, >50K
+35, Private, 283305, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+39, Private, 435638, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+34, Self-emp-inc, 114733, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 36, United-States, <=50K
+22, Private, 162343, Some-college, 10, Never-married, Adm-clerical, Other-relative, Black, Male, 0, 0, 22, United-States, <=50K
+18, ?, 195981, HS-grad, 9, Widowed, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+44, Private, 79531, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+44, State-gov, 395078, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+49, Local-gov, 159641, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Female, 0, 625, 40, United-States, <=50K
+21, Private, 159567, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+49, Private, 133917, Assoc-voc, 11, Never-married, Sales, Other-relative, Black, Male, 0, 0, 40, ?, <=50K
+52, Private, 196894, 11th, 7, Separated, Handlers-cleaners, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+39, Local-gov, 132879, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1887, 40, United-States, >50K
+23, Private, 190290, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+54, Private, 102828, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 49, United-States, <=50K
+31, Private, 128493, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K
+30, State-gov, 290677, Masters, 14, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 20, United-States, <=50K
+21, Private, 283757, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+38, Local-gov, 169104, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, >50K
+51, Private, 171409, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K
+34, Self-emp-not-inc, 319165, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+22, Private, 203182, Bachelors, 13, Never-married, Exec-managerial, Unmarried, White, Female, 0, 0, 30, United-States, <=50K
+20, ?, 211968, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 45, United-States, <=50K
+26, Private, 215384, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 1974, 55, United-States, <=50K
+26, Private, 166666, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+41, Private, 156566, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+35, Private, 140564, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+27, Local-gov, 322208, Some-college, 10, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+65, Private, 420277, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 123430, 11th, 7, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 65, Mexico, <=50K
+45, Self-emp-inc, 151584, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, >50K
+37, Self-emp-not-inc, 348960, Assoc-acdm, 12, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K
+47, Private, 168232, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1887, 45, United-States, >50K
+47, Self-emp-inc, 201699, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+33, Private, 511517, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 118001, 10th, 6, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+38, Private, 193961, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, >50K
+21, Private, 32732, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 223548, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+33, Private, 389932, HS-grad, 9, Divorced, Transport-moving, Not-in-family, Black, Male, 0, 0, 55, United-States, <=50K
+29, Private, 102345, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 52, United-States, <=50K
+41, Private, 107584, Some-college, 10, Separated, Transport-moving, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+20, ?, 34321, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+20, State-gov, 39478, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 54, United-States, <=50K
+34, Self-emp-not-inc, 276221, 10th, 6, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K
+78, Self-emp-inc, 385242, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 9386, 0, 45, United-States, >50K
+46, Private, 235646, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+40, Private, 123306, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+59, Private, 38573, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+23, Private, 216889, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 386705, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 24, United-States, <=50K
+47, Self-emp-not-inc, 249585, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 30, United-States, <=50K
+31, Local-gov, 47276, Bachelors, 13, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 38, United-States, >50K
+42, Self-emp-not-inc, 162758, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 56, United-States, >50K
+46, Local-gov, 146497, HS-grad, 9, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+29, Private, 190765, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 44, United-States, <=50K
+21, Private, 186314, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+55, Private, 213615, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+38, Private, 162322, Assoc-voc, 11, Never-married, Tech-support, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+44, State-gov, 115932, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+61, Self-emp-not-inc, 392694, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, >50K
+38, State-gov, 143517, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+50, Self-emp-inc, 123429, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, Italy, >50K
+53, Private, 254285, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+37, Private, 238311, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 36, United-States, >50K
+49, Private, 281647, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+30, Private, 75167, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K
+19, Private, 252862, Assoc-voc, 11, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+59, Self-emp-not-inc, 199240, HS-grad, 9, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 20, England, <=50K
+43, Private, 145762, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+29, Local-gov, 142443, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K
+49, Private, 99361, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K
+36, Private, 105138, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+26, Private, 183171, 11th, 7, Never-married, Other-service, Own-child, Black, Male, 1055, 0, 32, United-States, <=50K
+18, Private, 151866, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+60, Private, 297261, Some-college, 10, Widowed, Sales, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K
+43, Private, 148998, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+42, Private, 143046, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+41, Private, 183850, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+55, Self-emp-not-inc, 248841, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 40, United-States, >50K
+31, Private, 198452, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+20, Private, 161092, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 112497, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+51, Self-emp-not-inc, 155963, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K
+28, Private, 147560, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 1902, 55, United-States, >50K
+24, Private, 376393, Assoc-voc, 11, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+21, State-gov, 151790, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+21, Private, 438139, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+20, ?, 163911, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+35, Private, 214896, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+30, Private, 102821, Some-college, 10, Married-civ-spouse, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K
+44, Self-emp-not-inc, 90021, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 30, United-States, <=50K
+45, Private, 77085, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Japan, >50K
+42, Private, 158555, 10th, 6, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+36, ?, 28160, HS-grad, 9, Divorced, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+32, Private, 462255, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+33, Private, 144949, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 116207, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 32, United-States, <=50K
+17, Private, 187308, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+45, Local-gov, 189890, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+41, Private, 185267, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+19, Private, 63434, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+45, Private, 1366120, Assoc-voc, 11, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 8, United-States, <=50K
+41, Self-emp-inc, 495061, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 70, United-States, >50K
+34, Local-gov, 134886, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 1740, 35, United-States, <=50K
+33, Private, 129707, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 60, United-States, >50K
+17, ?, 181337, 10th, 6, Never-married, ?, Own-child, Other, Female, 0, 0, 20, United-States, <=50K
+51, Private, 74784, Bachelors, 13, Divorced, Sales, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K
+33, Private, 44392, HS-grad, 9, Divorced, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+23, Private, 406641, Some-college, 10, Never-married, Handlers-cleaners, Other-relative, White, Female, 0, 0, 18, United-States, <=50K
+52, Private, 89041, Bachelors, 13, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male, 0, 0, 30, United-States, >50K
+36, ?, 139770, Some-college, 10, Divorced, ?, Own-child, White, Female, 0, 0, 32, United-States, <=50K
+25, Private, 180212, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+38, ?, 338212, Some-college, 10, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 20, United-States, <=50K
+64, Self-emp-not-inc, 178472, 9th, 5, Separated, Transport-moving, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+42, Private, 384236, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 40, United-States, >50K
+29, Private, 168470, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+26, Local-gov, 80485, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K
+38, ?, 181705, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 24, United-States, <=50K
+24, Private, 216867, 10th, 6, Never-married, Other-service, Other-relative, White, Male, 0, 0, 30, Mexico, <=50K
+43, Federal-gov, 214541, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+38, Private, 383239, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 3103, 0, 40, United-States, >50K
+28, Private, 70034, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K
+18, ?, 266287, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+44, Private, 128485, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+81, ?, 89015, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 18, United-States, <=50K
+55, Private, 106740, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+52, Private, 167527, 11th, 7, Widowed, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+31, Private, 19302, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+35, Private, 210150, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+39, Private, 179824, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 36, United-States, <=50K
+27, Private, 420351, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+23, State-gov, 215443, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 15, United-States, <=50K
+26, Private, 116044, 11th, 7, Separated, Craft-repair, Other-relative, White, Male, 2907, 0, 50, United-States, <=50K
+33, Private, 215306, Assoc-voc, 11, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, Cuba, <=50K
+39, Private, 108069, Some-college, 10, Never-married, Craft-repair, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+44, Private, 260046, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 31053, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+18, Private, 362302, 12th, 8, Never-married, Other-service, Own-child, White, Male, 0, 0, 15, United-States, <=50K
+54, Private, 87205, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K
+45, Private, 191703, HS-grad, 9, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+43, Private, 242968, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 40, India, >50K
+23, Local-gov, 185575, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+37, Private, 177858, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 2174, 0, 40, United-States, <=50K
+33, Self-emp-not-inc, 73585, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+45, Private, 301802, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K
+32, Self-emp-inc, 108467, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K
+47, Private, 431245, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+44, Private, 157217, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+22, Private, 204935, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+17, Private, 277112, 11th, 7, Never-married, Sales, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+64, Self-emp-inc, 59145, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 60, United-States, >50K
+30, Local-gov, 159773, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 45, United-States, >50K
+51, Private, 118793, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 70, United-States, >50K
+26, State-gov, 152457, HS-grad, 9, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 187901, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 1504, 40, United-States, <=50K
+50, Private, 266529, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+18, ?, 256179, Some-college, 10, Never-married, ?, Own-child, White, Male, 594, 0, 10, United-States, <=50K
+63, Private, 113756, HS-grad, 9, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+48, Private, 83444, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 43, United-States, >50K
+37, Self-emp-inc, 30529, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 2415, 50, United-States, >50K
+51, ?, 146325, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 28, United-States, <=50K
+29, Private, 198825, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K
+69, Private, 71489, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 25, United-States, <=50K
+56, Private, 111218, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K
+26, ?, 221626, Bachelors, 13, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 40, United-States, <=50K
+39, Local-gov, 203482, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 40, United-States, >50K
+42, Self-emp-not-inc, 352196, HS-grad, 9, Separated, Other-service, Not-in-family, White, Female, 0, 0, 22, United-States, <=50K
+41, Federal-gov, 355918, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K
+45, Private, 168262, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 1887, 40, United-States, >50K
+23, Private, 182615, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 211482, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, >50K
+34, Private, 386370, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+31, ?, 85077, Bachelors, 13, Married-civ-spouse, ?, Wife, White, Female, 0, 1902, 20, United-States, >50K
+46, Local-gov, 180010, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K
+46, Without-pay, 142210, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 25, United-States, <=50K
+33, Private, 415706, 5th-6th, 3, Separated, Other-service, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K
+46, Private, 237731, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 343506, HS-grad, 9, Never-married, Other-service, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+49, Local-gov, 116163, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 50, France, <=50K
+66, ?, 206560, HS-grad, 9, Widowed, ?, Not-in-family, Other, Female, 0, 0, 35, Puerto-Rico, <=50K
+55, State-gov, 153451, HS-grad, 9, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 1887, 40, United-States, >50K
+35, Private, 301862, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 33429, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+31, Private, 169583, HS-grad, 9, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+47, Private, 146497, Some-college, 10, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 16, Germany, <=50K
+48, Self-emp-not-inc, 383384, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+27, Private, 240809, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 56, United-States, <=50K
+38, Private, 203763, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+27, Private, 218785, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K
+23, ?, 381741, Assoc-acdm, 12, Never-married, ?, Own-child, White, Male, 0, 1721, 20, United-States, <=50K
+17, Private, 244602, 12th, 8, Never-married, Other-service, Own-child, White, Male, 0, 0, 15, United-States, <=50K
+44, State-gov, 175696, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+26, Private, 101027, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 48, United-States, <=50K
+37, Private, 99270, HS-grad, 9, Never-married, Transport-moving, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+49, Private, 224393, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K
+42, Private, 192381, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+26, Private, 131686, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+73, ?, 84390, Assoc-voc, 11, Married-spouse-absent, ?, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K
+44, Private, 277533, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+47, Private, 72880, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+28, ?, 149646, Some-college, 10, Divorced, ?, Own-child, White, Female, 0, 0, 20, ?, <=50K
+49, Private, 209057, Some-college, 10, Divorced, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+17, Private, 108909, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+42, Private, 74949, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 235639, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+36, State-gov, 137421, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male, 0, 0, 37, Hong, <=50K
+53, Private, 122412, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+23, Private, 434894, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+35, Private, 379959, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+32, Private, 95885, 11th, 7, Never-married, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male, 13550, 0, 60, United-States, >50K
+39, Private, 225330, Bachelors, 13, Widowed, Prof-specialty, Unmarried, White, Female, 0, 0, 50, Poland, >50K
+40, Private, 32627, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K
+28, Private, 65171, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 193380, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+42, Private, 184823, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+35, Private, 81259, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 43, United-States, <=50K
+35, Private, 301369, 12th, 8, Never-married, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+21, Private, 190968, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+71, Private, 196610, 7th-8th, 4, Widowed, Exec-managerial, Not-in-family, White, Male, 6097, 0, 40, United-States, >50K
+31, Private, 330715, HS-grad, 9, Separated, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+25, Local-gov, 77698, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+35, Private, 139770, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 6849, 0, 40, United-States, <=50K
+24, Private, 109053, HS-grad, 9, Never-married, Other-service, Other-relative, White, Male, 0, 0, 25, United-States, <=50K
+69, Private, 312653, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 25, United-States, <=50K
+35, Self-emp-not-inc, 193260, Masters, 14, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 40, ?, >50K
+35, Private, 331831, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+42, Private, 54202, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 10520, 0, 50, United-States, >50K
+51, Private, 163948, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K
+48, Private, 36228, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 44, United-States, <=50K
+49, Private, 160167, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+53, Private, 178356, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 2407, 0, 99, United-States, <=50K
+43, Private, 104196, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+53, Private, 288353, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+35, Private, 187693, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 114988, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+34, Local-gov, 117392, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+48, Private, 121124, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, >50K
+53, Private, 195638, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+37, Private, 245053, Some-college, 10, Divorced, Handlers-cleaners, Own-child, White, Male, 0, 1504, 40, United-States, <=50K
+49, State-gov, 216734, Prof-school, 15, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+30, ?, 197827, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+41, Private, 49156, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 126133, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+24, Private, 304463, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 65, United-States, <=50K
+34, Private, 214288, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 274969, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Female, 0, 0, 42, United-States, <=50K
+23, Private, 189072, Bachelors, 13, Never-married, Tech-support, Not-in-family, Black, Female, 0, 0, 45, United-States, <=50K
+46, Private, 128047, Some-college, 10, Separated, Sales, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K
+20, Private, 210338, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+63, Private, 122442, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+40, Self-emp-not-inc, 167081, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 3103, 0, 50, United-States, <=50K
+33, Private, 251421, Assoc-acdm, 12, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+24, Federal-gov, 219519, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+36, Private, 33355, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 45, United-States, <=50K
+25, Private, 441210, HS-grad, 9, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+54, Local-gov, 178356, 9th, 5, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+50, Self-emp-not-inc, 231196, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+58, State-gov, 40925, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+17, Private, 270587, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, England, <=50K
+40, Private, 219266, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 50, United-States, >50K
+27, Private, 114967, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 344492, HS-grad, 9, Separated, Sales, Own-child, White, Female, 0, 0, 26, United-States, <=50K
+22, Private, 369387, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K
+80, Self-emp-not-inc, 101771, 11th, 7, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 25, United-States, <=50K
+52, Private, 137428, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+40, Federal-gov, 121012, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 7298, 0, 48, United-States, >50K
+48, Private, 139290, 10th, 6, Separated, Machine-op-inspct, Own-child, White, Female, 0, 0, 48, United-States, <=50K
+62, Private, 199193, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 25, United-States, <=50K
+32, Private, 286689, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 42, United-States, >50K
+21, ?, 123727, Some-college, 10, Never-married, ?, Not-in-family, White, Female, 0, 0, 28, United-States, <=50K
+58, Federal-gov, 208640, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+37, Self-emp-not-inc, 120130, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K
+29, Self-emp-inc, 241431, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, >50K
+25, Private, 120450, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 152240, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+50, Private, 200960, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K
+30, Federal-gov, 314310, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+30, Local-gov, 44566, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 80, United-States, <=50K
+59, Private, 21792, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 10, United-States, <=50K
+36, Private, 182074, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 221850, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, Ecuador, >50K
+42, Private, 240628, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K
+34, Private, 318641, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 45, United-States, >50K
+27, Self-emp-not-inc, 140863, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+39, Private, 129150, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 50, United-States, >50K
+41, Private, 143003, Assoc-voc, 11, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 7298, 0, 60, India, >50K
+34, Self-emp-not-inc, 198664, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 15024, 0, 70, South, >50K
+41, Private, 244945, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+50, Private, 138514, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+18, Private, 92008, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, White, Female, 0, 0, 28, United-States, <=50K
+23, Private, 207415, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+26, Private, 188626, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, <=50K
+38, Private, 257250, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 7298, 0, 60, United-States, >50K
+27, Private, 133696, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 88, United-States, <=50K
+21, Private, 195919, 10th, 6, Never-married, Handlers-cleaners, Not-in-family, Other, Male, 0, 0, 40, Dominican-Republic, <=50K
+41, Private, 119266, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+42, Self-emp-not-inc, 140474, Assoc-acdm, 12, Divorced, Craft-repair, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 35, United-States, <=50K
+25, Private, 69739, 10th, 6, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+43, Private, 293176, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+23, Private, 217961, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 15, United-States, <=50K
+40, Local-gov, 163725, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 40, United-States, >50K
+23, Private, 419394, Some-college, 10, Never-married, Sales, Own-child, Black, Male, 0, 0, 9, United-States, <=50K
+18, Private, 220836, 11th, 7, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+37, Private, 334291, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+58, Private, 298601, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 3781, 0, 40, United-States, <=50K
+36, Private, 200360, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 203482, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+25, Private, 99126, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Wife, White, Female, 7688, 0, 40, United-States, >50K
+62, Private, 109190, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 40, United-States, >50K
+34, Private, 34848, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 4064, 0, 40, United-States, <=50K
+27, Private, 29732, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 4865, 0, 36, United-States, <=50K
+23, Private, 87867, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+55, Private, 123515, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+42, Private, 175935, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 229456, HS-grad, 9, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 38, United-States, <=50K
+44, Private, 184105, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 4386, 0, 40, United-States, >50K
+42, Local-gov, 99554, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 190227, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 29020, Assoc-acdm, 12, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 0, 45, United-States, <=50K
+31, Private, 306459, 1st-4th, 2, Separated, Handlers-cleaners, Unmarried, White, Male, 0, 0, 35, Honduras, <=50K
+42, Private, 193995, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K
+26, Private, 105059, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 20, United-States, <=50K
+62, Private, 71751, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 98, United-States, >50K
+28, Private, 176683, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 5178, 0, 50, United-States, >50K
+34, Private, 342709, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+51, Private, 53838, Bachelors, 13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+45, Local-gov, 209482, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 45, United-States, >50K
+44, Private, 214242, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K
+47, ?, 34458, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 10, United-States, <=50K
+35, Private, 100375, Some-college, 10, Married-spouse-absent, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+46, Private, 149949, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+46, Private, 189762, Assoc-acdm, 12, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 56, United-States, <=50K
+46, Private, 79874, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 53, United-States, >50K
+66, Self-emp-not-inc, 104576, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 8, United-States, >50K
+34, State-gov, 355700, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 20, United-States, <=50K
+26, Private, 213625, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 204984, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+30, Private, 144593, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 40, ?, <=50K
+23, Private, 217169, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+46, Private, 184883, 9th, 5, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, United-States, <=50K
+44, ?, 136419, 10th, 6, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+54, Private, 57758, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 68, United-States, >50K
+54, Self-emp-not-inc, 30908, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K
+71, Private, 217971, 9th, 5, Widowed, Sales, Unmarried, White, Female, 0, 0, 13, United-States, <=50K
+51, Private, 160703, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+32, Private, 142675, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+75, ?, 248833, HS-grad, 9, Married-AF-spouse, ?, Wife, White, Female, 2653, 0, 14, United-States, <=50K
+57, Private, 171242, 11th, 7, Married-spouse-absent, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Canada, <=50K
+34, Private, 376979, 9th, 5, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 175935, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 14084, 0, 40, United-States, >50K
+21, Private, 277530, HS-grad, 9, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+50, Private, 104501, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+32, Private, 94041, Assoc-voc, 11, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 44, Ireland, <=50K
+37, Local-gov, 593246, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 50, United-States, >50K
+19, Private, 121074, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 99, United-States, <=50K
+64, Private, 192596, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+17, Private, 142457, 11th, 7, Never-married, Other-service, Own-child, Black, Male, 0, 0, 20, United-States, <=50K
+37, Private, 136028, Assoc-voc, 11, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 216145, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 4650, 0, 45, United-States, <=50K
+20, Private, 157894, Some-college, 10, Never-married, Other-service, Own-child, Black, Male, 0, 0, 20, United-States, <=50K
+39, Self-emp-not-inc, 164593, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 4787, 0, 40, United-States, >50K
+18, Private, 252993, 12th, 8, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, Columbia, <=50K
+42, Private, 145711, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 50, United-States, >50K
+43, Private, 358199, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 3103, 0, 40, United-States, >50K
+42, Private, 219591, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 55, United-States, >50K
+53, Local-gov, 205005, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 60, United-States, >50K
+52, Private, 221936, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+51, Private, 120914, 10th, 6, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+77, Self-emp-inc, 155761, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 8, United-States, <=50K
+25, Private, 195914, Some-college, 10, Never-married, Sales, Own-child, Black, Female, 3418, 0, 30, United-States, <=50K
+38, Local-gov, 236687, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 318036, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 53306, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+27, Private, 174645, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+19, Private, 321817, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+41, Private, 206948, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+47, Federal-gov, 402975, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+72, ?, 289930, Bachelors, 13, Separated, ?, Not-in-family, White, Female, 991, 0, 7, United-States, <=50K
+42, Private, 367049, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 4650, 0, 40, United-States, <=50K
+36, Private, 143486, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+42, Self-emp-inc, 27187, Masters, 14, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, >50K
+24, Private, 187717, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+22, Private, 378104, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 113870, 1st-4th, 2, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, ?, <=50K
+42, Private, 252518, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 40, United-States, >50K
+24, Private, 326334, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+41, Private, 279914, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, >50K
+29, Private, 320451, HS-grad, 9, Never-married, Protective-serv, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K
+36, Private, 207853, HS-grad, 9, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+78, Self-emp-inc, 237294, HS-grad, 9, Widowed, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, >50K
+43, Private, 112181, Assoc-voc, 11, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 1902, 32, United-States, >50K
+34, State-gov, 259705, Some-college, 10, Separated, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+20, ?, 117789, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+24, Private, 449432, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+36, Federal-gov, 89083, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K
+49, Private, 59612, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 44, United-States, <=50K
+21, Private, 129980, 9th, 5, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+51, Private, 108233, Assoc-acdm, 12, Separated, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+30, Private, 342709, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 126675, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 141118, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+20, ?, 273701, Some-college, 10, Never-married, ?, Other-relative, Black, Male, 34095, 0, 10, United-States, <=50K
+46, Private, 173243, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+24, Local-gov, 161092, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 209691, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 42, United-States, >50K
+36, Private, 89508, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+30, Private, 399522, 11th, 7, Married-spouse-absent, Handlers-cleaners, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+60, State-gov, 136939, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+56, Local-gov, 264436, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+57, Private, 199572, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+61, Federal-gov, 28291, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K
+50, Private, 215990, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+56, Self-emp-not-inc, 179594, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 48, United-States, <=50K
+61, Self-emp-inc, 139391, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 1902, 35, United-States, >50K
+45, Private, 187370, Masters, 14, Divorced, Exec-managerial, Unmarried, White, Male, 7430, 0, 70, United-States, >50K
+31, Private, 473133, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 5178, 0, 40, United-States, >50K
+60, Self-emp-not-inc, 205246, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, Black, Male, 0, 2559, 50, United-States, >50K
+26, Private, 182308, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+56, Self-emp-not-inc, 51662, 11th, 7, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K
+45, Private, 289468, 11th, 7, Widowed, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+28, Private, 201954, Assoc-acdm, 12, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 65, United-States, >50K
+45, Self-emp-not-inc, 26781, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K
+58, Private, 100960, 9th, 5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 203761, Assoc-voc, 11, Never-married, Tech-support, Not-in-family, White, Female, 2354, 0, 40, United-States, <=50K
+23, Private, 213811, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+49, Private, 124672, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+19, Private, 219300, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+22, Private, 270436, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 212619, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, <=50K
+23, Private, 193586, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 3908, 0, 40, United-States, <=50K
+40, Private, 84136, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 25, United-States, <=50K
+55, Federal-gov, 264834, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+34, State-gov, 98995, Assoc-voc, 11, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+21, Private, 278254, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+28, Private, 167987, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+43, Federal-gov, 72887, Bachelors, 13, Married-spouse-absent, Tech-support, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K
+17, Private, 176467, 9th, 5, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K
+51, Self-emp-not-inc, 85902, 10th, 6, Widowed, Transport-moving, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+37, Private, 223433, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+54, Self-emp-inc, 108435, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+24, Private, 172496, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+35, Private, 241998, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+48, Private, 245948, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, Black, Female, 2174, 0, 40, United-States, <=50K
+23, Private, 187513, Assoc-voc, 11, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 440138, HS-grad, 9, Never-married, Priv-house-serv, Not-in-family, White, Female, 0, 0, 45, England, <=50K
+24, Private, 218215, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+50, Private, 158948, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 3411, 0, 40, United-States, <=50K
+34, Private, 94413, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K
+45, Private, 183598, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+36, Private, 192664, 11th, 7, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 392812, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+21, Private, 155818, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+32, Private, 195000, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 308205, 5th-6th, 3, Never-married, Farming-fishing, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K
+53, Private, 104879, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K
+36, Private, 152307, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 145964, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+47, Private, 97419, HS-grad, 9, Married-civ-spouse, Protective-serv, Wife, Black, Female, 0, 0, 40, United-States, <=50K
+25, ?, 12285, Some-college, 10, Never-married, ?, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 20, United-States, <=50K
+30, Private, 263150, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 20, United-States, <=50K
+49, ?, 189885, HS-grad, 9, Widowed, ?, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+23, Private, 151888, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 254167, 10th, 6, Separated, Transport-moving, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+45, Local-gov, 331482, Assoc-acdm, 12, Divorced, Tech-support, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+61, Local-gov, 177189, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 42, United-States, <=50K
+35, Private, 186886, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 55, United-States, <=50K
+20, Private, 33221, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+27, Private, 188171, 10th, 6, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 60, United-States, <=50K
+23, Private, 209770, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+25, Private, 164488, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, ?, <=50K
+65, Local-gov, 180869, Some-college, 10, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+25, Private, 190350, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+49, Private, 137192, Bachelors, 13, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 1977, 50, South, >50K
+45, Private, 204057, Bachelors, 13, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, Germany, <=50K
+46, Private, 198774, Masters, 14, Divorced, Exec-managerial, Unmarried, White, Female, 0, 323, 45, United-States, <=50K
+67, Private, 134906, HS-grad, 9, Widowed, Sales, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K
+40, Private, 174515, HS-grad, 9, Widowed, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+51, Private, 259363, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K
+44, Self-emp-not-inc, 201742, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2415, 50, United-States, >50K
+35, Private, 209609, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K
+28, Private, 185127, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+44, Private, 462838, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K
+37, Private, 176967, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K
+54, Private, 284129, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, >50K
+33, Federal-gov, 37546, Prof-school, 15, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K
+46, Private, 116666, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+45, Private, 120724, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 4386, 0, 40, United-States, <=50K
+27, Private, 314240, Assoc-acdm, 12, Never-married, Exec-managerial, Not-in-family, White, Male, 3325, 0, 40, United-States, <=50K
+49, Private, 423222, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+51, Private, 201127, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+27, Private, 202239, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 209629, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+59, Private, 165922, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 40, United-States, >50K
+24, Private, 133520, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+66, ?, 99888, Assoc-voc, 11, Widowed, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+31, Private, 176410, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 38, United-States, <=50K
+35, Federal-gov, 103214, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 60, United-States, >50K
+34, Private, 122612, Bachelors, 13, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female, 7688, 0, 50, Philippines, >50K
+50, Private, 226735, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 70, United-States, >50K
+43, Self-emp-inc, 151089, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K
+21, Private, 244312, 9th, 5, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 30, El-Salvador, <=50K
+33, Private, 209317, 9th, 5, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 45, El-Salvador, <=50K
+48, Private, 99096, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 1590, 38, United-States, <=50K
+22, Private, 374116, HS-grad, 9, Never-married, Priv-house-serv, Own-child, White, Female, 0, 0, 36, United-States, <=50K
+29, Private, 205249, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Japan, <=50K
+42, Self-emp-not-inc, 326083, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+28, Self-emp-not-inc, 183523, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, Hungary, <=50K
+36, Private, 350783, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K
+66, Local-gov, 140849, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K
+44, Private, 175943, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 20, United-States, <=50K
+45, Local-gov, 125933, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+49, Private, 225124, HS-grad, 9, Divorced, Other-service, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+36, Private, 272090, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 45, El-Salvador, <=50K
+48, Private, 40666, 11th, 7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 60, United-States, <=50K
+19, Private, 35245, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 167482, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+41, Private, 204662, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+32, Private, 291147, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K
+49, Private, 179869, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+51, Self-emp-not-inc, 205100, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K
+20, Private, 352139, Some-college, 10, Divorced, Other-service, Own-child, White, Female, 0, 0, 29, United-States, <=50K
+39, Private, 111268, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+38, Private, 247111, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K
+19, Private, 271446, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+29, Local-gov, 132412, Bachelors, 13, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+52, Self-emp-inc, 74712, HS-grad, 9, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, >50K
+22, Private, 94662, Assoc-voc, 11, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 44, United-States, <=50K
+44, Self-emp-inc, 33126, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 80, United-States, <=50K
+43, Private, 133584, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+41, Local-gov, 103759, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 3942, 0, 40, United-States, <=50K
+63, ?, 64448, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 374367, Assoc-voc, 11, Separated, Sales, Not-in-family, Black, Male, 0, 0, 44, United-States, <=50K
+40, Private, 179666, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 30, Canada, <=50K
+18, Private, 99219, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+57, Self-emp-inc, 180211, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 50, Taiwan, >50K
+54, Local-gov, 219276, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, >50K
+44, Private, 150011, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+20, Private, 231231, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+40, Private, 182217, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, Scotland, <=50K
+29, Private, 277342, Some-college, 10, Never-married, Transport-moving, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 140001, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+44, Private, 99651, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 5178, 0, 40, United-States, >50K
+45, Private, 223319, Some-college, 10, Divorced, Sales, Own-child, White, Male, 0, 0, 45, United-States, <=50K
+52, Private, 235307, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+57, Private, 206343, HS-grad, 9, Separated, Machine-op-inspct, Not-in-family, White, Male, 2174, 0, 40, Cuba, <=50K
+51, Local-gov, 156003, HS-grad, 9, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 529223, Bachelors, 13, Never-married, Sales, Own-child, Black, Male, 0, 0, 10, United-States, <=50K
+22, Private, 202871, Assoc-voc, 11, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 44, United-States, <=50K
+37, Private, 58337, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, >50K
+58, Federal-gov, 298643, HS-grad, 9, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+61, Private, 191188, 10th, 6, Widowed, Farming-fishing, Unmarried, White, Male, 0, 0, 20, United-States, <=50K
+30, Private, 96287, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+23, Private, 104443, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+30, Private, 323054, 10th, 6, Divorced, Other-service, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K
+18, Private, 95917, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 25, Canada, <=50K
+34, Private, 238305, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 1628, 12, ?, <=50K
+23, Private, 49296, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K
+23, Private, 50953, Some-college, 10, Never-married, Priv-house-serv, Own-child, White, Female, 0, 0, 10, United-States, <=50K
+57, Private, 124507, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K
+58, Private, 239523, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+59, Self-emp-not-inc, 309124, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K
+27, Private, 240172, Bachelors, 13, Married-spouse-absent, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+50, Private, 105010, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 45, United-States, >50K
+44, Local-gov, 135056, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 16, ?, <=50K
+25, Private, 178478, Bachelors, 13, Never-married, Tech-support, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+33, Private, 23871, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 30, United-States, <=50K
+22, Private, 362309, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+21, Private, 257781, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 1719, 30, United-States, <=50K
+44, Private, 175669, 11th, 7, Married-civ-spouse, Prof-specialty, Wife, White, Female, 5178, 0, 36, United-States, >50K
+50, Private, 297906, Some-college, 10, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 50, United-States, >50K
+44, Private, 230684, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K
+53, ?, 123011, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, >50K
+41, Private, 170866, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+54, Local-gov, 182543, Some-college, 10, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K
+60, Self-emp-not-inc, 236470, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K
+58, Private, 33725, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K
+27, Private, 188941, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 3908, 0, 40, United-States, <=50K
+43, Private, 206878, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 60, United-States, <=50K
+33, Local-gov, 173806, Assoc-acdm, 12, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 190709, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 65, United-States, <=50K
+41, Private, 149102, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, Poland, <=50K
+21, Private, 25265, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+39, Private, 100669, Some-college, 10, Married-civ-spouse, Craft-repair, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K
+27, Self-emp-inc, 114158, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+50, Private, 228057, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 54012, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+46, Federal-gov, 219967, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+49, Private, 239865, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+35, State-gov, 119421, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 35, United-States, >50K
+56, Self-emp-not-inc, 220187, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 45, United-States, >50K
+41, Local-gov, 33068, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 1974, 40, United-States, <=50K
+41, Self-emp-not-inc, 277783, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 2001, 50, United-States, <=50K
+42, Private, 175515, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+58, Local-gov, 271795, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+43, Private, 70055, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 352806, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, Mexico, <=50K
+57, Private, 266189, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 42, United-States, <=50K
+49, Private, 102945, 7th-8th, 4, Widowed, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+23, Private, 173851, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+59, Private, 144092, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+50, Private, 198681, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 70, United-States, >50K
+33, Private, 351810, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, Mexico, <=50K
+52, Private, 180142, Masters, 14, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 45, United-States, <=50K
+37, Self-emp-inc, 175360, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+30, Self-emp-inc, 224498, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+39, Self-emp-inc, 154641, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 60, United-States, <=50K
+54, Local-gov, 152540, Some-college, 10, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 42, United-States, <=50K
+52, Private, 217663, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K
+22, Local-gov, 138575, HS-grad, 9, Never-married, Protective-serv, Unmarried, White, Male, 0, 0, 56, United-States, <=50K
+19, ?, 32477, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 25, United-States, <=50K
+65, Private, 101104, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 9386, 0, 10, United-States, >50K
+32, Private, 44677, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 456618, 7th-8th, 4, Never-married, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, El-Salvador, <=50K
+34, Private, 227282, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+47, Private, 27624, Assoc-voc, 11, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K
+24, Private, 281403, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 98, United-States, <=50K
+63, Federal-gov, 39181, Doctorate, 16, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 2559, 60, United-States, >50K
+48, Private, 377140, 5th-6th, 3, Never-married, Priv-house-serv, Unmarried, White, Female, 0, 0, 35, Nicaragua, <=50K
+26, Private, 299810, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+28, Private, 181916, Some-college, 10, Separated, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 237044, HS-grad, 9, Never-married, Other-service, Own-child, Black, Male, 0, 0, 12, United-States, <=50K
+57, Self-emp-inc, 123053, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 15024, 0, 50, India, >50K
+64, State-gov, 269512, Bachelors, 13, Divorced, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 44767, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 50, United-States, >50K
+28, Private, 67218, 7th-8th, 4, Married-civ-spouse, Sales, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 176992, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+38, Self-emp-not-inc, 43712, 11th, 7, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 45, United-States, >50K
+44, Private, 379919, Assoc-acdm, 12, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, >50K
+34, Private, 104509, Assoc-voc, 11, Never-married, Prof-specialty, Not-in-family, White, Female, 1639, 0, 20, United-States, <=50K
+18, Private, 212370, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 25, United-States, <=50K
+36, Private, 179666, 12th, 8, Married-civ-spouse, Craft-repair, Husband, Other, Male, 0, 0, 40, United-States, <=50K
+73, Self-emp-not-inc, 233882, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, Asian-Pac-Islander, Male, 0, 2457, 40, Vietnam, <=50K
+24, Private, 197387, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, Mexico, <=50K
+29, Local-gov, 220656, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, United-States, >50K
+33, Private, 181091, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+57, Federal-gov, 135028, HS-grad, 9, Separated, Adm-clerical, Other-relative, Black, Female, 0, 0, 35, United-States, <=50K
+41, Private, 185057, Assoc-voc, 11, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 40, ?, <=50K
+55, Private, 106498, 10th, 6, Widowed, Transport-moving, Not-in-family, Black, Female, 0, 0, 35, United-States, <=50K
+21, Private, 203003, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+36, Self-emp-not-inc, 223789, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K
+26, Private, 184026, Some-college, 10, Never-married, Prof-specialty, Not-in-family, Other, Male, 0, 0, 50, United-States, <=50K
+32, ?, 335427, Bachelors, 13, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 20, United-States, >50K
+40, Private, 65866, Some-college, 10, Divorced, Tech-support, Unmarried, White, Female, 0, 213, 40, United-States, <=50K
+32, Private, 372692, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 45607, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+59, State-gov, 303176, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2179, 40, United-States, <=50K
+29, Private, 138190, HS-grad, 9, Never-married, Sales, Unmarried, Black, Female, 0, 1138, 40, United-States, <=50K
+29, Self-emp-not-inc, 212895, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K
+59, Self-emp-inc, 31359, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 80, United-States, >50K
+58, Private, 147989, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K
+47, Private, 145290, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, <=50K
+44, Private, 262684, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 1504, 45, United-States, <=50K
+31, Private, 132601, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+42, Self-emp-not-inc, 30759, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K
+19, Private, 319889, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 25, United-States, <=50K
+66, Private, 29431, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K
+41, Private, 111483, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, <=50K
+22, Private, 184756, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+31, Private, 651396, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 1594, 30, United-States, <=50K
+30, Private, 187560, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+36, Self-emp-not-inc, 84848, HS-grad, 9, Separated, Other-service, Not-in-family, White, Female, 0, 0, 16, United-States, <=50K
+75, ?, 36243, Doctorate, 16, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+41, State-gov, 88913, Assoc-acdm, 12, Divorced, Prof-specialty, Unmarried, Asian-Pac-Islander, Female, 0, 0, 36, United-States, <=50K
+19, Private, 73190, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+60, Private, 132529, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 214542, 11th, 7, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 217006, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+52, Private, 169785, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+30, Private, 75573, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, Germany, <=50K
+37, Private, 239171, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+55, Self-emp-not-inc, 53566, Doctorate, 16, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+20, Private, 117109, Some-college, 10, Never-married, Adm-clerical, Other-relative, Black, Female, 0, 0, 24, United-States, <=50K
+32, Private, 398019, 7th-8th, 4, Never-married, Priv-house-serv, Not-in-family, White, Female, 0, 0, 15, Mexico, <=50K
+18, Private, 114008, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+24, Private, 204653, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+33, Local-gov, 254935, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 45, United-States, <=50K
+76, ?, 84755, Some-college, 10, Widowed, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+57, Local-gov, 198145, Masters, 14, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 14, United-States, >50K
+53, Private, 174020, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 1876, 38, United-States, <=50K
+19, Private, 451951, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+50, Local-gov, 172175, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+27, Private, 209472, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+40, Private, 336707, Assoc-voc, 11, Separated, Craft-repair, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K
+26, ?, 431861, 10th, 6, Separated, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+47, Self-emp-inc, 156728, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K
+39, Federal-gov, 290321, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K
+49, State-gov, 206577, Some-college, 10, Divorced, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+28, Self-emp-not-inc, 149324, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 7, United-States, <=50K
+33, ?, 49593, Some-college, 10, Married-civ-spouse, ?, Wife, Black, Female, 0, 0, 30, United-States, <=50K
+50, Private, 98975, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 40, United-States, >50K
+28, Private, 181659, 11th, 7, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 50, United-States, <=50K
+30, Private, 174789, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+47, Private, 102308, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 50, United-States, >50K
+39, Private, 184801, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+37, Private, 176014, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K
+50, Private, 256861, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 80, United-States, <=50K
+37, Private, 239397, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+26, Private, 233777, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K
+55, Private, 236520, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+46, Private, 70754, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+32, Private, 245378, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K
+26, Private, 176729, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, >50K
+32, Private, 154120, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 7298, 0, 40, United-States, >50K
+43, Private, 88913, Some-college, 10, Never-married, Handlers-cleaners, Own-child, Asian-Pac-Islander, Female, 1055, 0, 40, United-States, <=50K
+19, Private, 517036, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Female, 0, 0, 40, El-Salvador, <=50K
+38, Private, 436361, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 75, United-States, <=50K
+38, Private, 231037, 5th-6th, 3, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+65, Private, 209831, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K
+70, Self-emp-not-inc, 143833, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2246, 40, United-States, >50K
+48, ?, 167381, HS-grad, 9, Widowed, ?, Unmarried, White, Female, 0, 0, 25, United-States, <=50K
+44, Private, 215468, Bachelors, 13, Separated, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 7, United-States, <=50K
+32, Private, 200700, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+30, Local-gov, 191777, HS-grad, 9, Never-married, Protective-serv, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+49, Federal-gov, 195437, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 60, United-States, >50K
+23, Private, 149396, HS-grad, 9, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+25, Private, 104746, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 16, United-States, <=50K
+19, Private, 108147, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+27, Private, 238859, Assoc-voc, 11, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+43, State-gov, 23157, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+38, Private, 497788, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+42, Private, 141558, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K
+33, Federal-gov, 117963, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 38, United-States, <=50K
+30, Private, 232356, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+29, Private, 157941, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 103642, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 169727, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K
+43, Private, 274731, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+30, Private, 161572, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 45, United-States, <=50K
+38, Private, 48779, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K
+48, Private, 141511, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+57, Private, 314153, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1887, 55, United-States, >50K
+30, Private, 168334, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 30, United-States, <=50K
+42, Local-gov, 267252, Masters, 14, Separated, Exec-managerial, Unmarried, Black, Male, 0, 0, 45, United-States, >50K
+31, Self-emp-not-inc, 312055, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 70, United-States, <=50K
+32, Private, 207937, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 232653, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+63, Private, 246841, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 154087, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 199011, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 12, United-States, <=50K
+51, Self-emp-not-inc, 205100, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 30, United-States, >50K
+36, Private, 177907, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 2176, 0, 20, ?, <=50K
+24, Private, 50400, Some-college, 10, Married-civ-spouse, Sales, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K
+41, Local-gov, 97064, Assoc-voc, 11, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 44, United-States, <=50K
+21, Private, 65038, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 292472, Some-college, 10, Never-married, Craft-repair, Not-in-family, Asian-Pac-Islander, Male, 0, 1876, 45, Cambodia, <=50K
+17, Private, 225211, 9th, 5, Never-married, Other-service, Own-child, Black, Male, 0, 0, 35, United-States, <=50K
+45, Private, 320192, 1st-4th, 2, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K
+39, State-gov, 119421, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 625, 35, United-States, <=50K
+21, Private, 83580, Some-college, 10, Never-married, Prof-specialty, Own-child, Amer-Indian-Eskimo, Female, 0, 0, 4, United-States, <=50K
+29, Private, 133696, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 8614, 0, 45, United-States, >50K
+39, Private, 141584, Masters, 14, Never-married, Sales, Not-in-family, White, Male, 0, 2444, 45, United-States, >50K
+42, Private, 529216, HS-grad, 9, Separated, Transport-moving, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K
+22, Private, 390817, 5th-6th, 3, Married-civ-spouse, Craft-repair, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K
+21, ?, 85733, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+59, Private, 155976, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+40, Private, 221172, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 65, United-States, >50K
+45, Private, 270842, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+35, Private, 82622, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+58, Private, 371064, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 20, United-States, <=50K
+45, Private, 54744, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1848, 40, United-States, >50K
+29, Private, 22641, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Amer-Indian-Eskimo, Male, 0, 0, 45, United-States, <=50K
+21, Private, 218957, 11th, 7, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 45, United-States, <=50K
+51, Private, 441637, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K
+34, Local-gov, 143699, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K
+40, Private, 183096, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+45, Private, 97176, 11th, 7, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 16, United-States, <=50K
+38, Self-emp-not-inc, 122493, 10th, 6, Married-civ-spouse, Sales, Husband, White, Male, 0, 1887, 40, United-States, >50K
+22, Private, 311376, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+37, Private, 78928, 9th, 5, Married-civ-spouse, Other-service, Husband, White, Male, 3137, 0, 40, United-States, <=50K
+62, Private, 123582, 10th, 6, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+32, Federal-gov, 174215, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K
+36, Private, 183902, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 4, United-States, >50K
+43, Private, 247880, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 256636, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+33, ?, 152875, Bachelors, 13, Married-civ-spouse, ?, Wife, Asian-Pac-Islander, Female, 0, 0, 40, China, <=50K
+28, Private, 22422, HS-grad, 9, Never-married, Transport-moving, Unmarried, White, Male, 0, 0, 55, United-States, <=50K
+49, ?, 178215, Some-college, 10, Widowed, ?, Unmarried, White, Female, 0, 0, 28, United-States, <=50K
+47, Local-gov, 194360, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 7, United-States, >50K
+59, Private, 247187, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+35, Private, 63921, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 224889, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+29, Self-emp-not-inc, 178564, Bachelors, 13, Never-married, Prof-specialty, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+57, Private, 47619, Assoc-acdm, 12, Divorced, Prof-specialty, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+41, Private, 92775, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K
+37, Private, 50837, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K
+20, Local-gov, 235894, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+44, Private, 244974, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K
+20, Local-gov, 526734, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+38, Self-emp-not-inc, 243484, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 28, United-States, >50K
+23, Private, 201664, HS-grad, 9, Married-civ-spouse, Adm-clerical, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 234640, HS-grad, 9, Married-spouse-absent, Sales, Own-child, White, Female, 0, 0, 36, United-States, <=50K
+46, Private, 268022, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+32, Local-gov, 223267, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+21, Self-emp-not-inc, 99199, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 137076, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+41, Private, 115411, Some-college, 10, Divorced, Sales, Own-child, White, Male, 2174, 0, 45, United-States, <=50K
+51, Private, 313146, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+69, Self-emp-not-inc, 29980, 7th-8th, 4, Never-married, Farming-fishing, Other-relative, White, Male, 1848, 0, 10, United-States, <=50K
+39, Self-emp-inc, 543042, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 5178, 0, 50, United-States, >50K
+43, Private, 271807, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+51, Federal-gov, 97934, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 5178, 0, 40, United-States, >50K
+43, Private, 191196, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+35, Self-emp-not-inc, 264627, 11th, 7, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 84, United-States, <=50K
+32, Private, 183801, HS-grad, 9, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 209227, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 21, United-States, <=50K
+64, Private, 216208, Some-college, 10, Widowed, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+28, Private, 377095, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K
+44, Private, 317535, 1st-4th, 2, Married-civ-spouse, Protective-serv, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K
+40, Private, 247880, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K
+21, Private, 152246, Some-college, 10, Never-married, Handlers-cleaners, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K
+23, Private, 428299, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 161708, Some-college, 10, Never-married, Other-service, Unmarried, White, Female, 0, 0, 20, United-States, <=50K
+19, Private, 167859, HS-grad, 9, Never-married, Other-service, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+61, Private, 85194, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 25, United-States, <=50K
+47, Self-emp-inc, 119471, 7th-8th, 4, Never-married, Craft-repair, Not-in-family, Other, Male, 0, 0, 40, ?, <=50K
+39, Private, 117683, 10th, 6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 45, United-States, <=50K
+51, Private, 139347, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 7688, 0, 40, United-States, >50K
+25, Private, 427744, 10th, 6, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 122116, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K
+34, State-gov, 227931, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K
+54, Self-emp-not-inc, 226497, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K
+24, Private, 83783, Bachelors, 13, Never-married, Tech-support, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+28, Private, 197113, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, Other, Male, 0, 0, 50, Puerto-Rico, <=50K
+33, Private, 204742, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 44, United-States, <=50K
+63, ?, 331527, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 14, United-States, <=50K
+31, Private, 213179, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, >50K
+70, Self-emp-inc, 188260, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 16, United-States, <=50K
+43, Private, 298161, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, Nicaragua, <=50K
+36, Private, 143774, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 12, United-States, >50K
+50, Local-gov, 139296, 11th, 7, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 152389, Some-college, 10, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 30, United-States, <=50K
+31, Private, 309974, Some-college, 10, Separated, Tech-support, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+19, ?, 37085, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+39, Private, 270059, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 35, United-States, <=50K
+29, Private, 130045, 7th-8th, 4, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K
+39, Private, 188038, Some-college, 10, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+17, Private, 168203, 7th-8th, 4, Never-married, Farming-fishing, Other-relative, Other, Male, 0, 0, 40, Mexico, <=50K
+46, Private, 171807, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+62, Private, 186696, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 177531, 10th, 6, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 23, United-States, <=50K
+28, Private, 115464, HS-grad, 9, Never-married, Other-service, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+19, Private, 501144, Some-college, 10, Never-married, Sales, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K
+61, Local-gov, 180079, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 4064, 0, 40, United-States, <=50K
+18, Private, 205894, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 25, ?, <=50K
+39, Self-emp-not-inc, 218490, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2415, 50, ?, >50K
+24, Local-gov, 203924, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 45, United-States, <=50K
+38, Private, 91857, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 41, United-States, <=50K
+38, Private, 229700, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 40, United-States, >50K
+17, Private, 158704, 10th, 6, Never-married, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+28, Private, 190911, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+52, Private, 139176, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 8, United-States, <=50K
+61, Private, 119684, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 20, United-States, >50K
+69, Private, 124930, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 2267, 40, United-States, <=50K
+19, Private, 168693, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+26, Private, 250038, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+34, Self-emp-inc, 353927, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+70, Private, 216390, 9th, 5, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 2653, 0, 40, United-States, <=50K
+21, Private, 230248, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K
+43, Private, 117728, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 44, United-States, <=50K
+52, Private, 115851, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+59, Private, 193335, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+21, Private, 203894, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+53, Self-emp-not-inc, 100109, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 40, United-States, >50K
+55, State-gov, 157639, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K
+46, Self-emp-inc, 235320, Masters, 14, Divorced, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, >50K
+36, Private, 127686, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 37, United-States, <=50K
+39, Private, 28572, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 48, United-States, <=50K
+78, ?, 91534, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 3, United-States, <=50K
+30, Private, 184687, HS-grad, 9, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+22, Private, 267945, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 16, United-States, <=50K
+43, Private, 131899, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+36, Private, 192614, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 56, United-States, <=50K
+36, Private, 186808, Bachelors, 13, Married-civ-spouse, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, >50K
+50, Private, 44116, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+27, Federal-gov, 46442, Bachelors, 13, Never-married, Protective-serv, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+46, Federal-gov, 78022, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+24, Private, 417668, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+41, Private, 223763, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+68, Private, 223851, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 24, United-States, <=50K
+38, Local-gov, 115634, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+47, Private, 114459, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+41, Private, 197093, Some-college, 10, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 20, United-States, <=50K
+31, Self-emp-not-inc, 357145, Doctorate, 16, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 48, United-States, <=50K
+29, Private, 59231, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 42, United-States, <=50K
+26, Private, 292303, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+51, Private, 122288, Some-college, 10, Widowed, Machine-op-inspct, Unmarried, White, Female, 0, 0, 36, United-States, <=50K
+26, Federal-gov, 52322, Bachelors, 13, Never-married, Tech-support, Not-in-family, Other, Male, 0, 0, 60, United-States, <=50K
+27, Local-gov, 105830, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K
+36, Private, 107125, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 50, United-States, <=50K
+28, Federal-gov, 281860, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+53, Private, 283320, Bachelors, 13, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+40, State-gov, 26598, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 220783, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+21, ?, 121694, 7th-8th, 4, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+53, Private, 208302, 10th, 6, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 34, United-States, <=50K
+34, Local-gov, 172664, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+43, Private, 54611, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+64, Private, 631947, 10th, 6, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 394484, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+25, ?, 239120, Bachelors, 13, Never-married, ?, Not-in-family, White, Male, 0, 0, 13, United-States, <=50K
+38, Federal-gov, 37683, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female, 99999, 0, 57, Canada, >50K
+47, Local-gov, 193012, Masters, 14, Divorced, Protective-serv, Not-in-family, Black, Male, 0, 0, 50, United-States, >50K
+48, Private, 143098, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 1902, 40, China, >50K
+57, Private, 84888, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K
+37, Private, 188503, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+37, Private, 337778, 11th, 7, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+51, Self-emp-not-inc, 94432, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 55, United-States, >50K
+32, Private, 168906, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+49, Private, 116143, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+52, Private, 128272, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 14, United-States, <=50K
+64, Federal-gov, 301383, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 9386, 0, 45, United-States, >50K
+46, Private, 174995, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 45, United-States, <=50K
+24, State-gov, 289909, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+39, Private, 154641, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+23, Private, 209034, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 3942, 0, 40, United-States, <=50K
+30, Private, 203488, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 44, United-States, <=50K
+34, Private, 141118, Masters, 14, Divorced, Prof-specialty, Own-child, White, Female, 0, 0, 60, United-States, >50K
+30, Private, 169589, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 137645, Bachelors, 13, Never-married, Sales, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+58, Local-gov, 489085, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+32, Private, 36302, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, <=50K
+37, Private, 253420, HS-grad, 9, Separated, Other-service, Unmarried, Black, Female, 0, 0, 25, United-States, <=50K
+35, Private, 269300, HS-grad, 9, Separated, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+18, Private, 282609, 5th-6th, 3, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 30, Honduras, <=50K
+46, Private, 346978, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+71, Private, 182395, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Male, 11678, 0, 45, United-States, >50K
+44, Private, 205051, 10th, 6, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+45, Private, 128736, 10th, 6, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+40, Private, 236110, 12th, 8, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, Cuba, >50K
+38, Private, 312271, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+52, Private, 126978, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, Asian-Pac-Islander, Female, 0, 0, 40, China, <=50K
+47, Private, 204692, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+49, Private, 195956, Bachelors, 13, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 35, United-States, <=50K
+59, State-gov, 202682, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 231912, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 37, United-States, <=50K
+44, Local-gov, 24982, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+76, Private, 278938, Bachelors, 13, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+50, Local-gov, 36489, 10th, 6, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+33, Local-gov, 154874, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K
+43, Private, 74581, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, >50K
+27, Private, 311446, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 5178, 0, 40, United-States, >50K
+37, Self-emp-inc, 162164, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 239708, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 55, United-States, <=50K
+49, Self-emp-not-inc, 162856, Some-college, 10, Divorced, Exec-managerial, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K
+48, Self-emp-inc, 85109, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+49, Private, 169042, HS-grad, 9, Separated, Prof-specialty, Unmarried, White, Female, 0, 625, 40, Puerto-Rico, <=50K
+22, Private, 436798, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K
+42, Private, 345363, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, England, <=50K
+36, Private, 49837, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+57, ?, 296516, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 50, United-States, <=50K
+30, State-gov, 180283, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+40, Local-gov, 95639, HS-grad, 9, Never-married, Craft-repair, Other-relative, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K
+42, Private, 33155, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, <=50K
+56, Private, 329059, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Italy, >50K
+55, Private, 24694, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+25, Private, 443855, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+52, ?, 294691, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 301867, Some-college, 10, Never-married, Adm-clerical, Unmarried, Asian-Pac-Islander, Female, 0, 0, 35, United-States, <=50K
+55, Private, 226875, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 4064, 0, 40, United-States, <=50K
+47, Private, 362835, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K
+23, Private, 180339, Assoc-acdm, 12, Never-married, Sales, Own-child, White, Female, 0, 0, 65, United-States, <=50K
+55, Self-emp-inc, 207489, Bachelors, 13, Divorced, Sales, Not-in-family, White, Female, 0, 0, 50, Germany, <=50K
+43, Private, 336643, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+31, Private, 143653, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K
+62, State-gov, 101475, Assoc-acdm, 12, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+42, Local-gov, 263871, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 8, United-States, <=50K
+38, Self-emp-not-inc, 77820, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+29, Private, 95465, HS-grad, 9, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K
+26, Private, 257910, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+26, Private, 244372, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 52, United-States, >50K
+37, Self-emp-not-inc, 126738, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 72, United-States, <=50K
+79, Self-emp-inc, 97082, 12th, 8, Widowed, Sales, Not-in-family, White, Male, 18481, 0, 45, United-States, >50K
+61, Private, 133164, 7th-8th, 4, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K
+28, Self-emp-not-inc, 104617, 7th-8th, 4, Never-married, Other-service, Other-relative, White, Female, 0, 0, 99, Mexico, <=50K
+60, Self-emp-inc, 105339, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 60, United-States, >50K
+51, Self-emp-inc, 258735, HS-grad, 9, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 81, United-States, <=50K
+34, Private, 182926, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 43, United-States, >50K
+35, Private, 166193, HS-grad, 9, Divorced, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+27, Local-gov, 206125, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K
+44, Private, 346594, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+25, Private, 108301, HS-grad, 9, Separated, Other-service, Unmarried, White, Female, 0, 0, 20, United-States, <=50K
+32, Private, 73498, 7th-8th, 4, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+36, Private, 129150, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 20, United-States, >50K
+27, Private, 181280, Masters, 14, Never-married, Handlers-cleaners, Unmarried, White, Male, 0, 0, 30, United-States, <=50K
+40, Private, 146908, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K
+43, Private, 183765, Some-college, 10, Divorced, Tech-support, Not-in-family, White, Male, 0, 0, 40, ?, >50K
+25, Private, 164488, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+41, Private, 307468, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K
+30, Private, 93884, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K
+26, Private, 279833, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 2258, 45, United-States, >50K
+52, Private, 137658, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male, 0, 0, 40, Dominican-Republic, <=50K
+32, Private, 101562, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+33, Private, 136331, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 259846, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K
+48, Private, 98719, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 44, United-States, <=50K
+62, Self-emp-not-inc, 168682, 7th-8th, 4, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 5, United-States, <=50K
+40, Self-emp-not-inc, 198953, Assoc-acdm, 12, Never-married, Prof-specialty, Own-child, Black, Female, 0, 0, 2, United-States, <=50K
+41, ?, 29115, Some-college, 10, Widowed, ?, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+28, Private, 173673, 5th-6th, 3, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, Mexico, <=50K
+23, Private, 67958, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+50, Federal-gov, 98980, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 40, United-States, >50K
+51, State-gov, 94174, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 35, United-States, <=50K
+63, Self-emp-not-inc, 122442, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 48, United-States, <=50K
+63, Federal-gov, 154675, HS-grad, 9, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+40, Private, 116632, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, >50K
+20, ?, 238685, 11th, 7, Divorced, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+61, ?, 139391, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 99999, 0, 30, United-States, >50K
+40, Private, 169031, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+41, Private, 237452, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 15, Cuba, >50K
+41, Private, 216968, Bachelors, 13, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 40, ?, <=50K
+27, ?, 216479, Bachelors, 13, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 24, United-States, >50K
+20, State-gov, 126822, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+28, Private, 51461, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 1887, 40, United-States, >50K
+35, Private, 54953, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 222654, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 37676, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+57, Private, 159319, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+28, Private, 125321, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+38, Private, 209609, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K
+37, Private, 224947, Assoc-voc, 11, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+43, State-gov, 438427, Some-college, 10, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+26, Self-emp-not-inc, 384276, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 196805, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 65, United-States, <=50K
+27, Private, 242097, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K
+33, Private, 184306, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K
+45, Private, 161954, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, Germany, <=50K
+65, Private, 258561, Bachelors, 13, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 20, United-States, <=50K
+57, Self-emp-not-inc, 95280, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 99999, 0, 45, United-States, >50K
+59, Private, 212783, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K
+18, Private, 205004, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 26, United-States, <=50K
+44, Local-gov, 387844, 12th, 8, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 83880, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 161155, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+43, Local-gov, 265698, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 45, United-States, >50K
+59, Self-emp-inc, 146477, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+19, Private, 97261, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+36, State-gov, 437890, HS-grad, 9, Never-married, Exec-managerial, Unmarried, Black, Male, 0, 0, 90, United-States, <=50K
+68, Self-emp-not-inc, 133736, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 20051, 0, 40, United-States, >50K
+63, Private, 169983, 11th, 7, Widowed, Sales, Not-in-family, White, Female, 2176, 0, 30, United-States, <=50K
+37, Private, 126675, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 57, United-States, <=50K
+46, Local-gov, 175754, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 1876, 60, United-States, <=50K
+31, Private, 121768, Assoc-acdm, 12, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 35, Poland, <=50K
+23, Private, 180052, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 124454, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+49, Private, 190115, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 1672, 44, United-States, <=50K
+36, Private, 222584, HS-grad, 9, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+38, Private, 22245, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+46, Local-gov, 114160, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 45, United-States, >50K
+24, Private, 228960, Assoc-acdm, 12, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+26, Private, 132572, Bachelors, 13, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+47, Private, 103020, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Wife, Other, Female, 0, 0, 40, Puerto-Rico, <=50K
+40, Private, 187802, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 1887, 40, United-States, >50K
+31, Local-gov, 50649, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+42, Private, 137698, 5th-6th, 3, Married-spouse-absent, Farming-fishing, Not-in-family, White, Male, 0, 0, 35, Mexico, <=50K
+48, Self-emp-inc, 30575, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 70, United-States, >50K
+56, Private, 202220, Some-college, 10, Separated, Tech-support, Unmarried, Black, Female, 0, 0, 38, United-States, <=50K
+50, Private, 50178, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K
+17, Private, 207791, 10th, 6, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+21, Private, 540712, HS-grad, 9, Never-married, Other-service, Other-relative, Black, Male, 0, 1719, 25, United-States, <=50K
+50, Private, 321770, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+49, Private, 202053, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K
+34, Private, 143699, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 15, United-States, <=50K
+32, Self-emp-not-inc, 115066, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K
+28, Private, 223751, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+62, Self-emp-inc, 354075, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+23, Private, 32732, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 15, United-States, <=50K
+24, State-gov, 390867, Masters, 14, Never-married, Prof-specialty, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+31, Private, 101697, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, <=50K
+36, Private, 279721, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+58, Private, 223400, Assoc-acdm, 12, Married-civ-spouse, Priv-house-serv, Other-relative, White, Female, 0, 0, 35, Poland, <=50K
+46, ?, 206357, 5th-6th, 3, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 40, Mexico, <=50K
+39, Private, 76417, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+48, ?, 184682, HS-grad, 9, Never-married, ?, Own-child, White, Female, 0, 0, 18, United-States, <=50K
+21, Private, 78170, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K
+39, Private, 201410, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 189013, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+33, Private, 119913, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+37, Private, 549174, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K
+29, Local-gov, 214706, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+30, ?, 33811, Bachelors, 13, Married-civ-spouse, ?, Wife, Other, Female, 0, 0, 40, Taiwan, >50K
+43, Private, 234220, HS-grad, 9, Divorced, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, Cuba, <=50K
+22, Private, 237720, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 185942, Masters, 14, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, >50K
+69, Local-gov, 286983, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+17, Private, 140027, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+18, ?, 115258, 11th, 7, Never-married, ?, Own-child, White, Male, 0, 0, 12, United-States, <=50K
+54, Private, 155408, HS-grad, 9, Widowed, Handlers-cleaners, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+65, ?, 117963, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 45, United-States, <=50K
+28, Private, 158737, 12th, 8, Married-civ-spouse, Machine-op-inspct, Other-relative, Other, Male, 0, 0, 40, Ecuador, <=50K
+27, Local-gov, 199471, Assoc-voc, 11, Never-married, Tech-support, Own-child, White, Female, 0, 0, 38, United-States, <=50K
+35, Private, 287701, Assoc-acdm, 12, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 45, United-States, >50K
+38, Private, 137707, Assoc-voc, 11, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 40, United-States, >50K
+33, State-gov, 108116, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 366900, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+56, Self-emp-inc, 187355, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 60, Canada, >50K
+38, Private, 33105, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male, 0, 0, 70, United-States, >50K
+51, Self-emp-not-inc, 268639, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 2057, 60, Canada, <=50K
+26, Private, 358975, Some-college, 10, Never-married, Priv-house-serv, Not-in-family, White, Female, 0, 0, 50, Hungary, <=50K
+33, Private, 199227, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K
+44, Private, 248249, 7th-8th, 4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 50, United-States, <=50K
+36, Private, 460437, 9th, 5, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+42, Private, 187294, Some-college, 10, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+44, Private, 115932, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+44, Private, 181762, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 15024, 0, 55, United-States, >50K
+21, Private, 27049, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+41, Private, 806552, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+41, Private, 150755, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, Canada, >50K
+62, Private, 69867, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 50, United-States, >50K
+27, Private, 160786, 11th, 7, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 45, Germany, <=50K
+38, Private, 219546, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+60, Private, 24872, Some-college, 10, Separated, Transport-moving, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 30, United-States, <=50K
+24, Private, 110371, 12th, 8, Never-married, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, Mexico, <=50K
+24, ?, 376474, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 304602, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+32, ?, 143699, Some-college, 10, Never-married, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+22, Private, 238917, 1st-4th, 2, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 24, Mexico, <=50K
+51, Private, 200618, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 183043, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 48, United-States, >50K
+42, Local-gov, 209752, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K
+48, ?, 175653, Assoc-acdm, 12, Divorced, ?, Not-in-family, White, Female, 14084, 0, 40, United-States, >50K
+49, Private, 196707, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 7298, 0, 43, United-States, >50K
+37, Local-gov, 98725, Bachelors, 13, Never-married, Tech-support, Own-child, White, Female, 0, 0, 42, United-States, <=50K
+37, Self-emp-not-inc, 180150, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K
+66, Private, 151227, Bachelors, 13, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, >50K
+18, ?, 118847, HS-grad, 9, Never-married, ?, Own-child, White, Female, 0, 0, 24, United-States, <=50K
+46, Private, 282538, Assoc-voc, 11, Separated, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+52, Private, 89534, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+23, Private, 291011, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+67, Private, 166187, HS-grad, 9, Widowed, Exec-managerial, Unmarried, White, Male, 0, 0, 38, United-States, >50K
+19, Private, 188669, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+37, Private, 178948, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+42, Self-emp-inc, 188738, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 60, Italy, >50K
+39, Self-emp-not-inc, 160808, Some-college, 10, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+54, Private, 93605, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 1848, 40, United-States, >50K
+46, Private, 318331, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+47, ?, 109921, HS-grad, 9, Separated, ?, Unmarried, Black, Female, 0, 0, 32, United-States, <=50K
+33, Private, 87605, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+69, Self-emp-not-inc, 89477, Some-college, 10, Widowed, Farming-fishing, Not-in-family, White, Female, 0, 0, 14, United-States, <=50K
+21, Private, 48301, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 220748, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, Black, Male, 0, 0, 48, United-States, <=50K
+39, Private, 387068, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+23, Private, 250743, Some-college, 10, Divorced, Adm-clerical, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+26, Private, 78258, Assoc-voc, 11, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 36, United-States, <=50K
+42, Private, 31387, Doctorate, 16, Married-spouse-absent, Prof-specialty, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K
+36, Private, 289190, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 604537, HS-grad, 9, Never-married, Transport-moving, Unmarried, White, Male, 0, 0, 40, Mexico, <=50K
+35, Private, 328466, 9th, 5, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+42, Private, 403187, HS-grad, 9, Divorced, Handlers-cleaners, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+37, Private, 219546, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 4386, 0, 44, United-States, >50K
+41, Private, 220531, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+27, Private, 204648, Assoc-voc, 11, Never-married, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+42, Self-emp-not-inc, 201908, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 50, United-States, >50K
+44, ?, 109912, Bachelors, 13, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 16, United-States, >50K
+18, Private, 365683, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 16, United-States, <=50K
+41, Private, 175674, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K
+31, Private, 203488, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 106406, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+67, Private, 172756, 1st-4th, 2, Widowed, Machine-op-inspct, Not-in-family, White, Female, 2062, 0, 34, Ecuador, <=50K
+37, Private, 125167, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K
+51, Private, 249339, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 94652, Some-college, 10, Never-married, Craft-repair, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K
+40, Private, 195394, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 40, United-States, >50K
+25, Private, 130302, HS-grad, 9, Never-married, Handlers-cleaners, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 66686, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K
+43, Private, 336042, HS-grad, 9, Separated, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 193586, Some-college, 10, Separated, Farming-fishing, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+44, Private, 325461, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 50, United-States, >50K
+60, Local-gov, 313852, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K
+38, Local-gov, 30509, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 1669, 55, United-States, <=50K
+21, Local-gov, 32639, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K
+18, Private, 234953, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+49, Private, 120629, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, Black, Female, 27828, 0, 60, United-States, >50K
+43, Private, 350379, 5th-6th, 3, Divorced, Priv-house-serv, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K
+26, ?, 176967, 11th, 7, Never-married, ?, Not-in-family, White, Female, 0, 0, 65, United-States, <=50K
+36, Private, 36423, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 25, United-States, >50K
+31, Private, 123397, HS-grad, 9, Married-civ-spouse, Transport-moving, Wife, White, Female, 5178, 0, 35, United-States, >50K
+38, Private, 130813, HS-grad, 9, Divorced, Machine-op-inspct, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+43, Self-emp-not-inc, 35236, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 84, United-States, <=50K
+58, Private, 33350, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 35, United-States, <=50K
+55, Private, 177380, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 29, United-States, <=50K
+39, Private, 216129, Assoc-acdm, 12, Divorced, Exec-managerial, Unmarried, Black, Female, 0, 0, 35, Jamaica, <=50K
+38, Private, 335104, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+54, Self-emp-not-inc, 199741, HS-grad, 9, Widowed, Craft-repair, Not-in-family, White, Male, 0, 2001, 35, United-States, <=50K
+57, Self-emp-inc, 165881, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+35, Local-gov, 387777, Assoc-acdm, 12, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 52, United-States, <=50K
+44, Self-emp-not-inc, 149943, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 60, Taiwan, >50K
+36, Private, 188834, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+58, Private, 290661, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+39, Private, 155603, Some-college, 10, Never-married, Other-service, Own-child, Black, Female, 0, 2205, 40, United-States, <=50K
+25, Private, 114838, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 8, Italy, <=50K
+54, Local-gov, 168553, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 103064, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+37, Private, 123833, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+60, Federal-gov, 55621, Assoc-acdm, 12, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+66, Local-gov, 189834, 7th-8th, 4, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+36, Private, 217926, Assoc-acdm, 12, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 50, United-States, <=50K
+29, Self-emp-not-inc, 341672, HS-grad, 9, Married-spouse-absent, Transport-moving, Other-relative, Asian-Pac-Islander, Male, 0, 1564, 50, India, >50K
+29, Private, 163003, Bachelors, 13, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female, 2202, 0, 40, Taiwan, <=50K
+25, Private, 194352, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 44, United-States, <=50K
+62, ?, 54878, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K
+23, Private, 393248, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 279315, HS-grad, 9, Never-married, Other-service, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+33, Private, 392812, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 50, United-States, >50K
+49, Self-emp-inc, 34998, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K
+57, Self-emp-inc, 51016, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K
+57, Local-gov, 132717, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K
+46, Private, 186078, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+37, Self-emp-inc, 196123, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 70, United-States, >50K
+43, Self-emp-inc, 304906, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K
+26, Private, 41521, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+40, Private, 346847, Assoc-voc, 11, Separated, Prof-specialty, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+39, Self-emp-not-inc, 107233, HS-grad, 9, Never-married, Craft-repair, Other-relative, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K
+39, Private, 150125, Assoc-acdm, 12, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+31, Private, 400535, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 409622, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male, 0, 0, 36, Mexico, <=50K
+27, Private, 136448, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+36, Self-emp-not-inc, 202950, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, Iran, <=50K
+40, Local-gov, 197012, Bachelors, 13, Divorced, Tech-support, Not-in-family, White, Female, 8614, 0, 40, England, >50K
+57, Private, 237691, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+24, Private, 170277, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+30, Private, 160784, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+28, Private, 33798, 12th, 8, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+22, Private, 197838, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 223212, 7th-8th, 4, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 50, United-States, <=50K
+33, Private, 125762, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 44, United-States, >50K
+20, Private, 283969, Some-college, 10, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 15, United-States, <=50K
+25, Private, 374163, 12th, 8, Married-civ-spouse, Farming-fishing, Husband, Other, Male, 0, 0, 60, Mexico, <=50K
+49, State-gov, 118567, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 147655, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+45, Private, 82797, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+36, Local-gov, 142573, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+41, Private, 235167, 5th-6th, 3, Married-spouse-absent, Priv-house-serv, Not-in-family, White, Female, 0, 0, 32, Mexico, <=50K
+23, Private, 53245, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 1602, 12, United-States, <=50K
+47, Private, 28035, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+41, Private, 247082, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+30, Private, 123397, HS-grad, 9, Never-married, Handlers-cleaners, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+29, Local-gov, 133327, Some-college, 10, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 102270, 7th-8th, 4, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+64, ?, 45817, 9th, 5, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 50, United-States, <=50K
+55, Private, 240988, 9th, 5, Married-civ-spouse, Machine-op-inspct, Other-relative, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K
+19, Private, 386378, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+31, State-gov, 350651, 12th, 8, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 40, United-States, >50K
+18, State-gov, 76142, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 8, United-States, <=50K
+68, Private, 73773, HS-grad, 9, Widowed, Sales, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K
+50, ?, 281504, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+36, Local-gov, 293358, Some-college, 10, Never-married, Exec-managerial, Unmarried, Black, Female, 0, 0, 48, United-States, <=50K
+44, Private, 146906, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+58, Self-emp-not-inc, 331474, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 20, United-States, >50K
+20, Private, 213719, HS-grad, 9, Never-married, Sales, Own-child, Black, Female, 0, 0, 20, United-States, <=50K
+18, Private, 101795, 10th, 6, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 228265, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+49, Self-emp-not-inc, 130206, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+34, Private, 324254, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 223019, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+40, Private, 189666, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 45, United-States, <=50K
+35, Private, 139086, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 359327, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, ?, <=50K
+44, Self-emp-not-inc, 75065, 12th, 8, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 60, Vietnam, <=50K
+55, Private, 139843, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K
+21, Private, 34310, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 2603, 40, United-States, <=50K
+54, Private, 346014, Some-college, 10, Married-civ-spouse, Craft-repair, Wife, White, Female, 0, 0, 40, United-States, <=50K
+39, Local-gov, 163278, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 2202, 0, 44, United-States, <=50K
+52, Private, 31460, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K
+57, Self-emp-inc, 33725, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K
+67, ?, 63552, 7th-8th, 4, Widowed, ?, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+58, State-gov, 300623, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+27, Local-gov, 177072, Some-college, 10, Never-married, Prof-specialty, Other-relative, White, Male, 0, 0, 16, United-States, <=50K
+66, ?, 37331, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 15, United-States, <=50K
+41, Private, 167725, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+18, Private, 131180, 11th, 7, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 16, United-States, <=50K
+58, Private, 275859, HS-grad, 9, Widowed, Craft-repair, Unmarried, White, Male, 8614, 0, 52, Mexico, >50K
+50, Private, 275181, 5th-6th, 3, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 37, Cuba, <=50K
+31, Private, 398988, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 222654, 10th, 6, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+37, Self-emp-not-inc, 111129, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+26, Self-emp-not-inc, 137795, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 20, United-States, <=50K
+33, Local-gov, 242150, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 50, United-States, <=50K
+35, State-gov, 237873, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+44, Private, 367749, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, Mexico, <=50K
+26, Private, 206600, Bachelors, 13, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, Mexico, <=50K
+48, Federal-gov, 247043, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 187702, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+62, Private, 41718, 10th, 6, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 35, United-States, <=50K
+37, Private, 151835, Prof-school, 15, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K
+18, Private, 118938, 11th, 7, Never-married, Sales, Own-child, White, Male, 0, 0, 18, United-States, <=50K
+48, Private, 224870, HS-grad, 9, Divorced, Machine-op-inspct, Other-relative, Other, Female, 0, 0, 38, Ecuador, <=50K
+45, Private, 178341, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K
+35, Private, 61343, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K
+35, Private, 36989, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+34, Self-emp-not-inc, 226296, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 51, United-States, <=50K
+29, Private, 186624, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, Cuba, <=50K
+19, Private, 172582, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+53, State-gov, 227392, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 60, United-States, <=50K
+49, Private, 187563, Some-college, 10, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+71, Private, 137499, HS-grad, 9, Widowed, Sales, Other-relative, White, Female, 0, 0, 16, United-States, <=50K
+38, Private, 239397, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 36, Mexico, <=50K
+39, Local-gov, 327164, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K
+23, Private, 140798, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+29, Self-emp-inc, 187450, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+52, Private, 194580, 5th-6th, 3, Divorced, Farming-fishing, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+41, Private, 372682, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K
+20, Private, 235442, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+30, Private, 128065, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 45, United-States, <=50K
+56, Private, 91545, 10th, 6, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 36, United-States, <=50K
+26, Private, 154604, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+36, Federal-gov, 192150, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+26, Local-gov, 216522, Bachelors, 13, Never-married, Prof-specialty, Own-child, Black, Female, 0, 0, 42, United-States, <=50K
+58, Private, 156040, Assoc-acdm, 12, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 1848, 40, United-States, >50K
+24, Private, 206861, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+41, Private, 97632, Some-college, 10, Divorced, Sales, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 32, United-States, <=50K
+27, Private, 189530, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+28, State-gov, 381789, Some-college, 10, Separated, Exec-managerial, Own-child, White, Male, 0, 2339, 40, United-States, <=50K
+57, Self-emp-inc, 368797, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+21, State-gov, 41183, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+50, Private, 191062, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 132963, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+58, Private, 153551, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K
+27, Self-emp-not-inc, 66473, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K
+36, Private, 240323, HS-grad, 9, Separated, Sales, Unmarried, Black, Female, 0, 0, 17, United-States, <=50K
+68, Local-gov, 242095, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 20051, 0, 40, United-States, >50K
+33, Self-emp-inc, 128016, HS-grad, 9, Widowed, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+19, Private, 29526, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 18, United-States, <=50K
+26, Private, 342953, HS-grad, 9, Separated, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+37, Private, 215476, HS-grad, 9, Never-married, Handlers-cleaners, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K
+53, Private, 231919, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, <=50K
+32, Private, 52537, Some-college, 10, Never-married, Tech-support, Not-in-family, Black, Male, 0, 0, 38, United-States, <=50K
+18, Private, 27920, 11th, 7, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+53, Private, 153052, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+40, Self-emp-not-inc, 199303, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+50, Private, 233369, Some-college, 10, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+43, Private, 345789, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 15024, 0, 50, United-States, >50K
+60, Private, 238913, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 46, United-States, >50K
+28, Self-emp-not-inc, 195607, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, <=50K
+34, Private, 245173, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 1669, 45, United-States, <=50K
+37, Private, 138441, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 67467, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K
+46, Private, 102569, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 65, United-States, >50K
+21, Private, 213341, 11th, 7, Married-spouse-absent, Handlers-cleaners, Own-child, White, Male, 0, 1762, 40, Dominican-Republic, <=50K
+26, Private, 37202, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+47, Private, 140219, HS-grad, 9, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+18, Private, 298860, 12th, 8, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+22, Private, 51362, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 16, United-States, <=50K
+36, Private, 199947, Some-college, 10, Divorced, Machine-op-inspct, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+59, Self-emp-not-inc, 32552, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 48, United-States, <=50K
+33, Private, 183845, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 38, El-Salvador, <=50K
+33, Private, 181091, 10th, 6, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 35, England, <=50K
+53, Self-emp-inc, 135643, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female, 0, 0, 50, South, <=50K
+44, State-gov, 96249, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 3411, 0, 40, United-States, <=50K
+55, Private, 181220, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K
+56, Private, 133025, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K
+54, Self-emp-not-inc, 124865, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+51, Private, 45599, HS-grad, 9, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 194293, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 2463, 0, 38, United-States, <=50K
+43, Private, 102180, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+44, Private, 121130, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+22, Private, 138768, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 50, United-States, <=50K
+43, State-gov, 98989, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K
+26, State-gov, 126327, Assoc-acdm, 12, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+30, Private, 113364, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 18, United-States, <=50K
+30, Private, 326199, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 2580, 0, 40, United-States, <=50K
+46, Private, 376789, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 15, United-States, <=50K
+27, Private, 137063, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K
+26, Private, 279145, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+36, Private, 178815, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 8614, 0, 40, United-States, >50K
+25, Self-emp-not-inc, 245369, HS-grad, 9, Separated, Craft-repair, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+30, Federal-gov, 49593, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+46, State-gov, 238648, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 7298, 0, 40, United-States, >50K
+47, Private, 166181, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 48, United-States, >50K
+66, Self-emp-inc, 249043, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 5556, 0, 26, United-States, >50K
+43, Private, 156403, 10th, 6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+71, ?, 128529, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+36, Federal-gov, 186934, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 1848, 55, United-States, >50K
+46, ?, 148489, HS-grad, 9, Married-spouse-absent, ?, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K
+44, Local-gov, 387770, Some-college, 10, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 15, United-States, <=50K
+42, Private, 115511, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K
+39, Private, 201410, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1977, 45, Philippines, >50K
+36, Private, 220585, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+60, Self-emp-not-inc, 282066, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 45, United-States, >50K
+37, Private, 280966, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, >50K
+26, Private, 291586, Bachelors, 13, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+24, Private, 142227, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+17, ?, 104025, 11th, 7, Never-married, ?, Own-child, White, Male, 0, 0, 18, United-States, <=50K
+45, Local-gov, 148254, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+54, Private, 170562, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 48, United-States, >50K
+22, Private, 222490, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+63, Local-gov, 57674, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 48, United-States, <=50K
+22, Private, 233624, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 43, United-States, <=50K
+27, Private, 42734, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K
+33, Private, 233107, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 33, Mexico, <=50K
+64, Private, 143110, Bachelors, 13, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+50, Private, 195844, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+44, Self-emp-not-inc, 115896, Assoc-voc, 11, Widowed, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+31, Private, 303851, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K
+44, Private, 172475, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, Vietnam, <=50K
+53, Self-emp-not-inc, 30008, 10th, 6, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 35, United-States, <=50K
+33, Local-gov, 147921, HS-grad, 9, Widowed, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+34, Federal-gov, 172716, 12th, 8, Married-civ-spouse, Armed-Forces, Husband, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 155057, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K
+43, ?, 152569, Assoc-voc, 11, Widowed, ?, Not-in-family, White, Female, 0, 2339, 36, United-States, <=50K
+80, Self-emp-not-inc, 132728, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K
+31, Private, 195136, Assoc-acdm, 12, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K
+40, Private, 377322, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, >50K
+53, Local-gov, 293941, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+58, Private, 182123, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 44, United-States, <=50K
+38, Private, 32528, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+33, Private, 140206, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+48, Local-gov, 378221, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, Mexico, >50K
+23, Private, 211601, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, Black, Female, 0, 0, 40, United-States, <=50K
+31, Self-emp-not-inc, 119411, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 50, United-States, <=50K
+52, Self-emp-not-inc, 240013, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 70, United-States, <=50K
+24, Private, 95552, HS-grad, 9, Never-married, Tech-support, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+45, Self-emp-not-inc, 183710, 9th, 5, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 189382, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K
+52, Private, 380633, 5th-6th, 3, Widowed, Other-service, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K
+54, Private, 53407, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+39, Private, 150480, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K
+40, Private, 175674, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+28, Private, 375313, HS-grad, 9, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 50, United-States, <=50K
+21, ?, 278391, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 16, United-States, <=50K
+23, Private, 212888, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+36, Self-emp-inc, 487085, 7th-8th, 4, Never-married, Craft-repair, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K
+22, Private, 174461, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+55, Local-gov, 133201, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K
+71, Private, 77253, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 17, United-States, <=50K
+47, Private, 141511, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K
+17, Self-emp-inc, 181608, 10th, 6, Never-married, Sales, Own-child, White, Male, 0, 0, 12, United-States, <=50K
+31, Private, 127610, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 50, United-States, >50K
+32, Private, 154571, Some-college, 10, Never-married, Other-service, Other-relative, Asian-Pac-Islander, Male, 0, 0, 40, ?, <=50K
+46, Private, 33842, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 3103, 0, 40, United-States, >50K
+27, Private, 150080, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+39, Federal-gov, 30916, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 50, United-States, >50K
+40, Private, 151294, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K
+30, Private, 48829, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 1602, 30, United-States, <=50K
+17, Private, 193769, 9th, 5, Never-married, Other-service, Unmarried, White, Male, 0, 0, 20, United-States, <=50K
+33, Private, 277455, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+72, Private, 225780, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+34, Federal-gov, 436341, Some-college, 10, Married-AF-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K
+65, Private, 255386, HS-grad, 9, Never-married, Craft-repair, Other-relative, Asian-Pac-Islander, Male, 0, 0, 40, Cambodia, <=50K
+36, Private, 174938, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1887, 50, United-States, >50K
+32, Private, 174789, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 245628, Some-college, 10, Never-married, Adm-clerical, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K
+22, Private, 228752, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+47, Private, 354148, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 48, United-States, >50K
+31, Private, 192900, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+28, Self-emp-not-inc, 190391, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+38, Private, 353263, Masters, 14, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 50, Italy, >50K
+34, Private, 113198, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 28, United-States, <=50K
+44, Private, 207578, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, >50K
+27, Private, 93206, Some-college, 10, Never-married, Handlers-cleaners, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K
+50, Local-gov, 163998, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 44, United-States, >50K
+47, Private, 111961, HS-grad, 9, Married-civ-spouse, Other-service, Wife, Black, Female, 0, 0, 30, United-States, <=50K
+20, Private, 219122, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 111445, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K
+29, Federal-gov, 309778, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K
+37, Local-gov, 223020, Assoc-voc, 11, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 32, United-States, <=50K
+42, Private, 303155, Assoc-acdm, 12, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+20, ?, 41035, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+68, Private, 159191, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+22, Local-gov, 244408, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, Vietnam, <=50K
+72, Self-emp-not-inc, 473748, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 30, United-States, <=50K
+45, Federal-gov, 71823, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 20, United-States, <=50K
+30, Local-gov, 83066, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+33, Private, 150154, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+43, Private, 190786, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, >50K
+56, Private, 178033, Some-college, 10, Widowed, Exec-managerial, Not-in-family, White, Male, 4416, 0, 60, United-States, <=50K
+25, Self-emp-not-inc, 159909, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K
+41, Private, 190885, HS-grad, 9, Divorced, Priv-house-serv, Not-in-family, White, Female, 0, 0, 40, Guatemala, <=50K
+25, Private, 243786, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 37, United-States, <=50K
+31, State-gov, 124020, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K
+36, Private, 159016, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 38, United-States, <=50K
+37, Private, 183800, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+58, Self-emp-not-inc, 193434, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 20, United-States, <=50K
+26, Private, 245029, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+55, Private, 98746, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 50, Canada, >50K
+46, Federal-gov, 140664, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 48, United-States, >50K
+44, Private, 344920, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 1617, 20, United-States, <=50K
+44, Private, 169980, 11th, 7, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 60, United-States, <=50K
+28, State-gov, 155397, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K
+42, Private, 245317, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K
+41, Private, 74182, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+39, Private, 280570, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K
+64, Self-emp-not-inc, 30664, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 30, United-States, <=50K
+20, Private, 109952, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 25, United-States, <=50K
+45, Local-gov, 192793, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K
+31, Private, 243442, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, <=50K
+36, Federal-gov, 106297, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+32, Private, 328060, 9th, 5, Separated, Other-service, Unmarried, Other, Female, 0, 0, 40, Mexico, <=50K
+33, Self-emp-not-inc, 48702, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 65, United-States, <=50K
+51, Self-emp-not-inc, 111283, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 99999, 0, 35, United-States, >50K
+36, Private, 484024, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 208470, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+44, Private, 172032, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 7298, 0, 51, United-States, >50K
+40, Private, 29927, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 45, England, <=50K
+46, Private, 98012, Assoc-voc, 11, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+31, Self-emp-not-inc, 108468, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K
+30, Private, 207301, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 1980, 40, United-States, <=50K
+26, Private, 168403, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 66935, Bachelors, 13, Never-married, Other-service, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+35, Self-emp-not-inc, 42044, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 184806, Prof-school, 15, Never-married, Prof-specialty, Other-relative, White, Male, 0, 0, 50, United-States, <=50K
+39, Private, 1455435, Assoc-acdm, 12, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+44, Self-emp-not-inc, 445382, Some-college, 10, Divorced, Other-service, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 278576, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 60, United-States, >50K
+79, Self-emp-not-inc, 84979, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 20, United-States, >50K
+36, Private, 659504, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 45, United-States, >50K
+44, Private, 136986, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, >50K
+23, Private, 278107, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 1573, 30, United-States, <=50K
+27, Private, 96219, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+46, Self-emp-not-inc, 131091, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1902, 40, United-States, >50K
+58, Private, 205410, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 416745, Assoc-acdm, 12, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K
+36, Private, 180667, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1887, 60, United-States, >50K
+21, Private, 72119, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+41, State-gov, 108945, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Female, 14344, 0, 40, United-States, >50K
+49, Federal-gov, 195949, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 101345, Bachelors, 13, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, >50K
+29, Private, 439263, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 35, Peru, <=50K
+63, Private, 213095, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+29, Federal-gov, 59932, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+65, Private, 172815, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 40915, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K
+42, Private, 139012, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Taiwan, >50K
+44, Private, 121781, Some-college, 10, Divorced, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 37, United-States, <=50K
+51, ?, 130667, HS-grad, 9, Separated, ?, Not-in-family, Black, Male, 0, 0, 6, United-States, <=50K
+41, Self-emp-not-inc, 147110, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 25, United-States, <=50K
+22, Local-gov, 237811, Assoc-acdm, 12, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 35, Haiti, <=50K
+36, ?, 128640, Some-college, 10, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 25, United-States, <=50K
+18, Private, 111476, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+33, Local-gov, 289716, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+46, Local-gov, 141944, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 38, United-States, >50K
+49, Private, 323773, 11th, 7, Married-civ-spouse, Priv-house-serv, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+41, State-gov, 176663, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K
+52, Private, 155233, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+40, Private, 143327, Some-college, 10, Separated, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+53, Federal-gov, 177212, Some-college, 10, Never-married, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+45, Self-emp-not-inc, 123088, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+30, Local-gov, 47085, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+56, Private, 102106, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 235894, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+71, Self-emp-not-inc, 172046, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K
+20, Self-emp-not-inc, 197207, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+26, Private, 152452, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 50, United-States, <=50K
+34, Private, 172928, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 65, United-States, <=50K
+36, ?, 214896, 9th, 5, Divorced, ?, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K
+49, Private, 116338, HS-grad, 9, Separated, Prof-specialty, Unmarried, White, Female, 0, 653, 60, United-States, <=50K
+48, Private, 276664, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 50, United-States, >50K
+22, Private, 59924, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+30, Private, 194141, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 1617, 40, United-States, <=50K
+51, Private, 95128, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+46, Private, 292504, Some-college, 10, Married-spouse-absent, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+32, Self-emp-inc, 45796, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K
+42, Private, 119359, Prof-school, 15, Married-civ-spouse, Sales, Wife, Amer-Indian-Eskimo, Female, 15024, 0, 40, South, >50K
+52, State-gov, 104280, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 50, United-States, <=50K
+57, Private, 172291, HS-grad, 9, Divorced, Adm-clerical, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K
+35, Private, 180988, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 39, United-States, <=50K
+52, Private, 110748, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+59, ?, 556688, 9th, 5, Divorced, ?, Not-in-family, White, Female, 0, 0, 12, United-States, <=50K
+36, Private, 22494, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+33, Private, 267859, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, Cuba, >50K
+67, Local-gov, 256821, HS-grad, 9, Divorced, Protective-serv, Not-in-family, Black, Male, 0, 0, 20, United-States, <=50K
+31, Self-emp-not-inc, 117346, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 48, United-States, <=50K
+31, Private, 62374, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K
+28, Private, 314659, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K
+72, ?, 114761, 7th-8th, 4, Widowed, ?, Unmarried, White, Female, 0, 0, 20, United-States, <=50K
+36, Private, 93225, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+58, Self-emp-not-inc, 165315, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 35, United-States, >50K
+56, Private, 124771, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 27408, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 198841, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+44, Private, 271792, Bachelors, 13, Married-spouse-absent, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+26, Private, 64289, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+51, Private, 183390, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 240771, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 4386, 0, 50, United-States, >50K
+30, Private, 234919, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 40, El-Salvador, <=50K
+20, Private, 88231, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+21, Private, 154422, Some-college, 10, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K
+37, Private, 119098, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+53, State-gov, 151580, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 4386, 0, 40, United-States, >50K
+54, Private, 118793, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, <=50K
+32, ?, 30499, Bachelors, 13, Divorced, ?, Unmarried, White, Female, 0, 0, 32, United-States, <=50K
+34, ?, 166545, Some-college, 10, Married-civ-spouse, ?, Wife, White, Female, 7688, 0, 6, United-States, >50K
+30, Private, 271710, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 7298, 0, 50, United-States, >50K
+43, State-gov, 308498, HS-grad, 9, Married-spouse-absent, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+48, Private, 172695, Assoc-voc, 11, Divorced, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+42, Self-emp-not-inc, 29962, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 48, United-States, <=50K
+62, Private, 200332, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 291702, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 67234, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+45, Private, 168038, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 32, United-States, <=50K
+34, Private, 137814, Some-college, 10, Separated, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+64, Private, 126233, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 20, United-States, <=50K
+42, Self-emp-not-inc, 79036, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 65, United-States, <=50K
+60, Self-emp-not-inc, 327474, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 70, United-States, <=50K
+44, Private, 145160, HS-grad, 9, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 58, United-States, <=50K
+67, ?, 37092, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 4, United-States, <=50K
+45, Private, 129387, Assoc-acdm, 12, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 40, ?, <=50K
+53, Self-emp-not-inc, 33304, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 38, United-States, >50K
+37, Private, 359001, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Husband, White, Male, 15024, 0, 50, United-States, >50K
+32, ?, 143162, 10th, 6, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 40, United-States, <=50K
+23, Private, 133515, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+28, Private, 168901, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Taiwan, <=50K
+55, Private, 750972, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 41, United-States, <=50K
+58, Private, 142924, Masters, 14, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 24, United-States, >50K
+74, Self-emp-inc, 228075, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 20051, 0, 25, United-States, >50K
+27, Private, 91189, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 290609, HS-grad, 9, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+22, ?, 31102, Some-college, 10, Never-married, ?, Own-child, Asian-Pac-Islander, Female, 0, 0, 4, South, <=50K
+44, Self-emp-not-inc, 216921, 10th, 6, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 70, United-States, <=50K
+23, Private, 120046, Assoc-acdm, 12, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+41, Private, 324629, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, Yugoslavia, <=50K
+45, Private, 81132, Some-college, 10, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male, 0, 0, 55, United-States, >50K
+29, Private, 160279, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 229732, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, >50K
+61, Local-gov, 144723, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 60, United-States, >50K
+29, Private, 148431, Assoc-acdm, 12, Married-civ-spouse, Sales, Wife, Other, Female, 7688, 0, 45, United-States, >50K
+22, Private, 160398, Some-college, 10, Never-married, Sales, Other-relative, White, Male, 0, 0, 38, United-States, <=50K
+28, Private, 129460, 9th, 5, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, El-Salvador, <=50K
+30, Private, 252752, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, <=50K
+20, Private, 58222, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+28, ?, 424884, 10th, 6, Separated, ?, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+45, Private, 114459, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K
+19, ?, 46400, Some-college, 10, Never-married, ?, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K
+42, Private, 223934, Assoc-acdm, 12, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+34, Private, 84119, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 159123, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K
+23, Private, 195532, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+50, Private, 191299, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+40, Private, 198316, 10th, 6, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+57, Private, 162301, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+35, Private, 143152, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 3908, 0, 27, United-States, <=50K
+24, Private, 92609, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 45, United-States, <=50K
+27, Private, 247819, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K
+27, Local-gov, 229223, Some-college, 10, Never-married, Protective-serv, Own-child, White, Female, 0, 0, 40, United-States, >50K
+45, Self-emp-inc, 142719, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+80, Private, 86111, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 30, United-States, <=50K
+23, State-gov, 35633, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+46, Private, 164749, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+38, Private, 607848, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+50, Private, 173630, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+90, Private, 311184, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 20, ?, <=50K
+55, Private, 49737, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K
+72, Private, 183616, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 50, England, <=50K
+65, Private, 129426, Some-college, 10, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+37, Private, 454915, 10th, 6, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+39, State-gov, 55568, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K
+38, Private, 29874, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+46, Private, 393715, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K
+50, Private, 143953, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 65, United-States, >50K
+54, Private, 90363, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+40, Private, 53727, Masters, 14, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, >50K
+30, Private, 130021, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 2829, 0, 40, United-States, <=50K
+50, Private, 173630, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 35, United-States, <=50K
+28, Private, 410351, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+34, Private, 399386, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 53, United-States, <=50K
+55, Private, 157932, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 133061, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+19, ?, 46400, Some-college, 10, Never-married, ?, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K
+21, Private, 107895, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+39, Private, 63021, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+43, Private, 186144, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+33, Local-gov, 27959, HS-grad, 9, Never-married, Other-service, Unmarried, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K
+26, Private, 179569, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+45, State-gov, 101299, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+31, State-gov, 113129, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 65, United-States, <=50K
+32, Private, 316470, 5th-6th, 3, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, Mexico, <=50K
+60, Self-emp-not-inc, 89884, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K
+41, Private, 32121, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K
+21, Private, 315303, Some-college, 10, Never-married, Other-service, Own-child, Black, Male, 0, 0, 20, United-States, <=50K
+27, Private, 254500, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 36, United-States, <=50K
+33, Private, 419895, 5th-6th, 3, Divorced, Handlers-cleaners, Unmarried, White, Male, 0, 0, 40, Mexico, <=50K
+43, Private, 159549, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 160786, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1902, 40, United-States, >50K
+18, Self-emp-not-inc, 258474, 10th, 6, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+48, Self-emp-not-inc, 370119, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+37, Private, 50837, 7th-8th, 4, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+58, Private, 137506, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+57, Private, 548256, 12th, 8, Married-civ-spouse, Transport-moving, Husband, Black, Male, 7688, 0, 40, United-States, >50K
+42, Local-gov, 175642, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 99999, 0, 40, United-States, >50K
+24, Private, 183594, HS-grad, 9, Never-married, Adm-clerical, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 341353, Bachelors, 13, Never-married, Other-service, Other-relative, White, Male, 0, 0, 15, United-States, <=50K
+43, Self-emp-inc, 247981, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 5455, 0, 50, United-States, <=50K
+34, Private, 193565, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 39606, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K
+51, Self-emp-not-inc, 127149, 11th, 7, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 45, United-States, >50K
+31, ?, 233371, HS-grad, 9, Married-civ-spouse, ?, Wife, Black, Female, 0, 0, 45, United-States, <=50K
+49, Self-emp-not-inc, 182752, Doctorate, 16, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 35, United-States, >50K
+26, Private, 269060, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+28, Private, 179949, HS-grad, 9, Divorced, Transport-moving, Unmarried, Black, Female, 0, 0, 20, United-States, <=50K
+22, Federal-gov, 32950, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 1902, 37, United-States, <=50K
+26, Private, 160445, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+45, Private, 223999, 9th, 5, Married-civ-spouse, Other-service, Husband, White, Male, 0, 1848, 40, United-States, >50K
+39, Private, 81487, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 625, 40, United-States, <=50K
+23, Private, 314539, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+62, ?, 337721, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 8, United-States, <=50K
+42, Local-gov, 100793, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K
+39, Federal-gov, 255407, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+43, Federal-gov, 92775, Assoc-voc, 11, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+33, Self-emp-not-inc, 33308, Some-college, 10, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K
+68, State-gov, 493363, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 20, United-States, <=50K
+30, ?, 159589, Masters, 14, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 46, United-States, >50K
+32, Private, 107218, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K
+25, Private, 123586, Some-college, 10, Never-married, Adm-clerical, Unmarried, Other, Male, 0, 0, 40, United-States, <=50K
+53, Private, 158352, 5th-6th, 3, Married-civ-spouse, Other-service, Other-relative, White, Female, 0, 0, 24, Italy, <=50K
+38, Private, 76317, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K
+62, ?, 176753, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 122346, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 463194, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 162228, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+43, State-gov, 115005, HS-grad, 9, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+29, State-gov, 183285, Some-college, 10, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 36, United-States, <=50K
+34, Private, 169605, 10th, 6, Separated, Other-service, Unmarried, White, Female, 0, 0, 36, United-States, <=50K
+24, Private, 450695, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+44, Local-gov, 124692, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, >50K
+19, Private, 63918, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+47, Private, 102569, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+40, Private, 289309, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K
+45, Private, 101825, HS-grad, 9, Widowed, Sales, Unmarried, White, Female, 0, 0, 45, United-States, <=50K
+43, Private, 206833, HS-grad, 9, Separated, Handlers-cleaners, Unmarried, Black, Female, 0, 0, 45, United-States, <=50K
+22, ?, 77873, 9th, 5, Never-married, ?, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+50, Private, 145333, Doctorate, 16, Divorced, Prof-specialty, Other-relative, White, Male, 10520, 0, 50, United-States, >50K
+72, ?, 194548, Some-college, 10, Married-spouse-absent, ?, Not-in-family, White, Male, 0, 0, 3, United-States, <=50K
+29, Private, 206351, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+47, Private, 198200, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+24, Private, 140001, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 35, El-Salvador, <=50K
+22, ?, 287988, Some-college, 10, Never-married, ?, Not-in-family, White, Male, 0, 0, 15, United-States, <=50K
+21, Private, 143604, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+30, Self-emp-not-inc, 146161, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 50, United-States, >50K
+37, Private, 196529, Some-college, 10, Widowed, Other-service, Not-in-family, White, Female, 2354, 0, 40, ?, <=50K
+74, Self-emp-not-inc, 192413, Prof-school, 15, Divorced, Prof-specialty, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+70, Self-emp-not-inc, 139889, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 2653, 0, 70, United-States, <=50K
+27, Private, 104917, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+32, Local-gov, 161478, Bachelors, 13, Divorced, Adm-clerical, Unmarried, Asian-Pac-Islander, Female, 0, 0, 46, United-States, <=50K
+30, Private, 35644, 11th, 7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 50, United-States, <=50K
+29, Local-gov, 116751, Assoc-voc, 11, Divorced, Protective-serv, Unmarried, White, Male, 0, 0, 56, United-States, <=50K
+18, Private, 238867, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 1602, 40, United-States, <=50K
+31, Private, 265706, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 40, United-States, >50K
+39, State-gov, 179668, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 70, United-States, <=50K
+21, Private, 57951, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+31, Private, 176711, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 38, United-States, <=50K
+33, Local-gov, 368675, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K
+39, Private, 216149, Prof-school, 15, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 70, United-States, >50K
+29, Private, 173851, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 90705, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 1485, 40, United-States, <=50K
+52, State-gov, 216342, Bachelors, 13, Widowed, Exec-managerial, Unmarried, White, Female, 0, 0, 55, United-States, <=50K
+35, Private, 140752, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K
+33, Private, 116508, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+40, ?, 224361, 9th, 5, Divorced, ?, Unmarried, White, Female, 0, 0, 5, Cuba, <=50K
+43, Private, 180303, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 50, United-States, >50K
+66, ?, 196736, 1st-4th, 2, Never-married, ?, Not-in-family, Black, Male, 0, 0, 30, United-States, <=50K
+51, Local-gov, 110327, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+36, Private, 185607, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 30, United-States, <=50K
+17, Local-gov, 244856, 11th, 7, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+32, Private, 198068, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+39, Private, 97136, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+19, Self-emp-inc, 164658, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 60, United-States, <=50K
+54, Private, 235693, 11th, 7, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+45, Private, 197038, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, >50K
+47, Local-gov, 97419, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+49, Self-emp-not-inc, 208872, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 1672, 98, United-States, <=50K
+32, Private, 205528, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+28, Self-emp-inc, 146042, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+39, Self-emp-inc, 222641, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+27, Self-emp-inc, 376936, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+42, Local-gov, 138077, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 38, United-States, >50K
+24, Private, 155913, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 44, United-States, <=50K
+45, Private, 36006, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K
+19, Private, 214678, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+46, Private, 369538, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K
+50, Private, 166565, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 257043, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 42, United-States, <=50K
+47, Self-emp-inc, 181130, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 50, United-States, >50K
+69, ?, 254834, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 10605, 0, 10, United-States, >50K
+43, Self-emp-not-inc, 38876, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K
+29, Private, 187073, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+43, Federal-gov, 156996, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 2415, 55, ?, >50K
+90, Private, 313749, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 10, United-States, <=50K
+41, Private, 331651, Prof-school, 15, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 50, Japan, >50K
+24, Private, 243368, Preschool, 1, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 36, Mexico, <=50K
+24, Private, 32921, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 50, United-States, <=50K
+24, Private, 117167, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 53, United-States, <=50K
+35, Private, 401930, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 1887, 42, United-States, >50K
+30, Private, 114691, Bachelors, 13, Never-married, Adm-clerical, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+46, Private, 99385, Bachelors, 13, Separated, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+19, Local-gov, 210308, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 1721, 30, United-States, <=50K
+39, Private, 252327, 9th, 5, Separated, Craft-repair, Own-child, White, Male, 0, 0, 35, Mexico, <=50K
+43, Private, 90582, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 190194, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+65, Private, 264188, HS-grad, 9, Widowed, Sales, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K
+34, Private, 243776, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+41, Private, 67065, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+24, Self-emp-not-inc, 204209, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 60, United-States, <=50K
+24, Private, 226668, HS-grad, 9, Never-married, Other-service, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 35, United-States, <=50K
+34, Self-emp-inc, 174215, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 4787, 0, 45, France, >50K
+33, Private, 315143, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, Cuba, >50K
+37, Private, 118681, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 38, Puerto-Rico, <=50K
+39, Self-emp-not-inc, 208109, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, >50K
+58, Private, 116901, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 25, United-States, <=50K
+36, Self-emp-not-inc, 405644, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, Mexico, <=50K
+33, Federal-gov, 293550, Some-college, 10, Married-civ-spouse, Tech-support, Wife, White, Female, 4064, 0, 40, United-States, <=50K
+42, Local-gov, 328581, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, <=50K
+31, Private, 217962, Some-college, 10, Never-married, Protective-serv, Other-relative, Black, Male, 0, 0, 40, ?, <=50K
+57, Private, 158827, HS-grad, 9, Separated, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+67, Federal-gov, 65475, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K
+23, Private, 159709, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 140474, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K
+43, Private, 144778, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, Italy, >50K
+39, Self-emp-not-inc, 83242, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K
+36, Private, 143385, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+29, Local-gov, 167544, Assoc-acdm, 12, Divorced, Other-service, Unmarried, White, Female, 0, 0, 13, United-States, <=50K
+25, Private, 122175, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+54, Private, 378747, 10th, 6, Separated, Transport-moving, Unmarried, Black, Male, 0, 0, 45, United-States, >50K
+24, Private, 230475, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 44, United-States, <=50K
+50, Self-emp-inc, 120781, Bachelors, 13, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 60, South, >50K
+70, Private, 206232, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, <=50K
+61, Private, 298400, Bachelors, 13, Divorced, Sales, Not-in-family, Black, Male, 4787, 0, 48, United-States, >50K
+51, Federal-gov, 163671, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 40, United-States, <=50K
+38, Self-emp-not-inc, 140583, Masters, 14, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 70, United-States, <=50K
+51, Private, 137253, HS-grad, 9, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, >50K
+28, Private, 246974, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+66, Self-emp-not-inc, 182470, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 25, United-States, >50K
+57, Self-emp-inc, 107617, HS-grad, 9, Separated, Farming-fishing, Not-in-family, White, Male, 0, 0, 60, United-States, >50K
+44, Self-emp-inc, 116358, Bachelors, 13, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 50, ?, >50K
+29, Private, 250819, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+21, Private, 196508, Some-college, 10, Never-married, Sales, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+42, Private, 367533, 10th, 6, Married-civ-spouse, Craft-repair, Own-child, Other, Male, 0, 0, 43, United-States, >50K
+74, Private, 188709, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 50, United-States, >50K
+50, Private, 271160, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+65, Private, 173674, HS-grad, 9, Divorced, Other-service, Other-relative, White, Female, 0, 0, 14, United-States, <=50K
+64, ?, 257790, HS-grad, 9, Divorced, ?, Unmarried, White, Female, 0, 0, 38, United-States, <=50K
+44, Private, 322391, 11th, 7, Separated, Other-service, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K
+34, Private, 209691, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 4386, 0, 50, United-States, >50K
+17, Private, 104232, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 10, United-States, <=50K
+17, ?, 86786, 10th, 6, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+43, Private, 88233, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K
+32, Private, 240888, Assoc-acdm, 12, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+54, Private, 169719, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 3103, 0, 40, United-States, >50K
+20, Private, 129240, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+23, Private, 160968, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 10, United-States, <=50K
+34, Private, 236861, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 45, United-States, <=50K
+30, Private, 109282, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+32, Private, 215047, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 115932, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, Ireland, >50K
+28, Private, 55360, Some-college, 10, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+44, Private, 224658, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K
+29, Local-gov, 376302, Assoc-voc, 11, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 35, Nicaragua, >50K
+28, Private, 183597, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 594, 0, 50, Germany, <=50K
+37, Private, 115289, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+56, Self-emp-inc, 258883, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 69132, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 207301, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 20, United-States, <=50K
+37, Private, 179671, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+66, Self-emp-not-inc, 140456, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+19, Private, 327397, HS-grad, 9, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+60, Private, 200235, Assoc-voc, 11, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+54, Self-emp-not-inc, 108435, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 2829, 0, 30, United-States, <=50K
+47, Private, 195978, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+47, Private, 329144, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 48, United-States, >50K
+48, Self-emp-inc, 250674, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K
+57, ?, 176897, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 60, United-States, <=50K
+50, Self-emp-inc, 132716, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, Germany, >50K
+62, Private, 174201, 9th, 5, Widowed, Other-service, Unmarried, Black, Female, 0, 0, 25, United-States, <=50K
+45, Private, 167617, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+55, Local-gov, 254949, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+62, Private, 319582, HS-grad, 9, Widowed, Sales, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K
+25, Private, 248990, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Guatemala, <=50K
+49, Private, 144396, 11th, 7, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K
+32, State-gov, 200469, Some-college, 10, Never-married, Protective-serv, Unmarried, Black, Female, 3887, 0, 40, United-States, <=50K
+25, Federal-gov, 55636, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K
+39, Private, 185624, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, <=50K
+27, Local-gov, 125442, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K
+43, Private, 160943, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, United-States, >50K
+30, Private, 243841, HS-grad, 9, Divorced, Other-service, Other-relative, Asian-Pac-Islander, Female, 0, 0, 40, South, <=50K
+21, Private, 34616, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+33, Private, 235847, Prof-school, 15, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K
+33, Private, 174789, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+33, Private, 280111, 11th, 7, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 38, United-States, <=50K
+70, Private, 236055, 7th-8th, 4, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+25, Private, 237865, Some-college, 10, Never-married, Other-service, Own-child, Black, Male, 0, 0, 42, United-States, <=50K
+17, Private, 194612, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 25, United-States, <=50K
+20, Private, 173851, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+19, Private, 372483, Some-college, 10, Never-married, Other-service, Other-relative, Black, Male, 0, 0, 35, United-States, <=50K
+71, Federal-gov, 422149, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 20051, 0, 40, United-States, >50K
+31, Private, 174201, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 272618, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K
+52, Private, 74660, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 201481, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+38, Private, 175232, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+25, Private, 336440, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 46645, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 9, United-States, <=50K
+48, State-gov, 31141, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 1902, 40, United-States, >50K
+53, Private, 281425, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+30, Self-emp-not-inc, 31510, Assoc-acdm, 12, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+44, Private, 310255, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, >50K
+32, Federal-gov, 82393, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 56, United-States, >50K
+59, Self-emp-not-inc, 190514, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 20, United-States, <=50K
+49, Private, 165513, Some-college, 10, Divorced, Handlers-cleaners, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+65, ?, 178931, HS-grad, 9, Married-civ-spouse, ?, Husband, Amer-Indian-Eskimo, Male, 3818, 0, 40, United-States, <=50K
+31, Private, 226696, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, >50K
+53, Private, 195813, 5th-6th, 3, Married-civ-spouse, Craft-repair, Husband, Other, Male, 5178, 0, 40, Puerto-Rico, >50K
+44, Private, 165815, 9th, 5, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 123983, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 55, Japan, >50K
+36, Private, 235371, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+37, Private, 147258, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, >50K
+63, ?, 222289, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 7688, 0, 54, United-States, >50K
+67, Self-emp-inc, 171564, HS-grad, 9, Married-civ-spouse, Prof-specialty, Wife, White, Female, 20051, 0, 30, England, >50K
+29, Private, 255949, Bachelors, 13, Never-married, Sales, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K
+52, Private, 186272, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 282872, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1628, 40, United-States, <=50K
+21, Private, 111676, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+36, Private, 199501, Some-college, 10, Divorced, Exec-managerial, Unmarried, Black, Female, 0, 0, 38, United-States, <=50K
+24, Private, 151443, HS-grad, 9, Never-married, Machine-op-inspct, Other-relative, Black, Female, 0, 0, 30, United-States, <=50K
+31, Private, 145935, HS-grad, 9, Never-married, Exec-managerial, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+54, Federal-gov, 230387, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 35, United-States, <=50K
+44, Private, 127592, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K
+18, Private, 210828, Some-college, 10, Never-married, Handlers-cleaners, Own-child, Other, Male, 0, 0, 30, United-States, <=50K
+41, Private, 297186, HS-grad, 9, Married-civ-spouse, Transport-moving, Wife, White, Female, 0, 0, 40, United-States, <=50K
+37, Self-emp-inc, 116554, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 70, United-States, <=50K
+30, Private, 144593, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 40, ?, <=50K
+26, State-gov, 147719, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 20, India, <=50K
+68, Self-emp-not-inc, 89011, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, Canada, <=50K
+31, Private, 38158, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+48, Private, 178686, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+80, ?, 172826, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 8, United-States, <=50K
+26, Private, 155752, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+63, Private, 100099, 9th, 5, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+19, Private, 231688, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+30, ?, 147215, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+42, Self-emp-inc, 50122, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K
+64, Federal-gov, 86837, Assoc-acdm, 12, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, >50K
+32, Private, 113364, Bachelors, 13, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+50, Private, 289390, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 47, United-States, <=50K
+73, Private, 77884, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K
+32, Private, 390157, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+53, Private, 89587, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 7298, 0, 45, United-States, >50K
+58, Private, 234328, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+37, Local-gov, 365430, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 5178, 0, 40, United-States, >50K
+24, Private, 410439, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 15, United-States, <=50K
+53, Private, 129525, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+23, Private, 166527, Some-college, 10, Never-married, Exec-managerial, Own-child, Other, Female, 0, 0, 40, United-States, <=50K
+42, ?, 109912, Assoc-acdm, 12, Never-married, ?, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+30, Private, 210906, HS-grad, 9, Married-civ-spouse, Exec-managerial, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+38, Private, 405284, Bachelors, 13, Never-married, Other-service, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+28, Private, 138269, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+19, Private, 25429, 12th, 8, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+45, Private, 231672, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+26, Private, 258550, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 268147, 9th, 5, Never-married, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+29, Private, 54411, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 50, ?, <=50K
+54, Private, 37289, Masters, 14, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 55, United-States, >50K
+23, Private, 157951, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+43, Self-emp-inc, 225165, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K
+37, Private, 238049, 9th, 5, Never-married, Priv-house-serv, Not-in-family, White, Female, 0, 0, 30, El-Salvador, <=50K
+31, Private, 197252, 7th-8th, 4, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+56, Self-emp-inc, 216636, 12th, 8, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1651, 40, United-States, <=50K
+25, Private, 183575, 11th, 7, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+17, Private, 19752, 11th, 7, Never-married, Other-service, Own-child, Black, Female, 0, 0, 25, United-States, <=50K
+37, Private, 103925, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 68, United-States, <=50K
+60, Private, 31577, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K
+59, Federal-gov, 61298, Bachelors, 13, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+59, Federal-gov, 190541, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+46, Self-emp-not-inc, 366089, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 40, United-States, >50K
+28, ?, 389857, HS-grad, 9, Married-civ-spouse, ?, Other-relative, White, Male, 0, 0, 16, United-States, <=50K
+33, ?, 192644, HS-grad, 9, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 216129, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 1408, 50, United-States, <=50K
+29, Private, 51944, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 4386, 0, 40, United-States, >50K
+33, Self-emp-not-inc, 67482, Assoc-voc, 11, Divorced, Other-service, Unmarried, White, Female, 0, 0, 99, United-States, <=50K
+29, ?, 108775, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, Dominican-Republic, <=50K
+23, State-gov, 279243, Some-college, 10, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 278391, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 25, Nicaragua, <=50K
+60, Private, 349898, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 44, United-States, <=50K
+44, Private, 219441, 10th, 6, Never-married, Sales, Unmarried, Other, Female, 0, 0, 35, Dominican-Republic, <=50K
+18, Private, 173255, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 1055, 0, 25, United-States, <=50K
+52, Federal-gov, 29623, 12th, 8, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+31, Private, 217460, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+30, Private, 163604, Bachelors, 13, Widowed, Prof-specialty, Unmarried, White, Female, 0, 0, 55, United-States, >50K
+33, Private, 163110, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 3781, 0, 40, United-States, <=50K
+20, Private, 238685, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K
+27, ?, 251854, Bachelors, 13, Married-civ-spouse, ?, Wife, Black, Female, 0, 0, 35, ?, >50K
+33, Private, 213308, Assoc-voc, 11, Separated, Adm-clerical, Own-child, Black, Female, 0, 0, 50, United-States, <=50K
+25, Private, 193773, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 35, United-States, <=50K
+63, Private, 114011, HS-grad, 9, Separated, Craft-repair, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+63, Self-emp-not-inc, 52144, Some-college, 10, Widowed, Exec-managerial, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+43, Private, 347934, HS-grad, 9, Separated, Sales, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+58, Private, 293399, 11th, 7, Widowed, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+70, ?, 118630, Assoc-voc, 11, Widowed, ?, Unmarried, White, Female, 0, 0, 35, United-States, <=50K
+35, Private, 127306, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, White, Female, 14344, 0, 40, United-States, >50K
+42, Private, 366180, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K
+20, Local-gov, 188950, Some-college, 10, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 25, United-States, <=50K
+35, Private, 189382, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+62, Private, 24515, 9th, 5, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+41, Private, 283116, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Female, 1506, 0, 50, United-States, <=50K
+43, Self-emp-not-inc, 182217, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 35, United-States, <=50K
+19, Private, 552354, 12th, 8, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+46, Private, 163021, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+47, Private, 61885, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 50, United-States, >50K
+36, Self-emp-not-inc, 182898, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 40, United-States, >50K
+45, Private, 183092, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+48, Private, 30289, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 30, United-States, <=50K
+29, Private, 77572, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K
+48, State-gov, 118330, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 5178, 0, 40, United-States, >50K
+36, Private, 469056, HS-grad, 9, Divorced, Sales, Unmarried, Black, Female, 0, 0, 25, United-States, <=50K
+58, Private, 145574, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+43, Private, 302041, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+59, Private, 32552, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 4, United-States, <=50K
+42, Private, 185413, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+33, Federal-gov, 26543, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K
+23, Federal-gov, 163870, Some-college, 10, Never-married, Armed-Forces, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 240063, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 25, United-States, <=50K
+48, Private, 208748, 5th-6th, 3, Divorced, Machine-op-inspct, Unmarried, Other, Female, 0, 0, 40, Dominican-Republic, <=50K
+32, Local-gov, 84119, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 84130, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, >50K
+66, Local-gov, 261062, Masters, 14, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+23, Local-gov, 336010, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 32, United-States, <=50K
+52, Private, 389270, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 35, United-States, >50K
+17, Private, 138293, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 15, United-States, <=50K
+35, Private, 240389, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 43, United-States, >50K
+39, Private, 190297, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 55, United-States, >50K
+21, ?, 170070, Some-college, 10, Never-married, ?, Not-in-family, White, Female, 0, 0, 10, United-States, <=50K
+24, Private, 149457, Some-college, 10, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+45, Private, 81534, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 84, Japan, >50K
+25, Private, 378322, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 2001, 50, United-States, <=50K
+29, Federal-gov, 196912, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+56, Private, 116143, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 5178, 0, 44, United-States, >50K
+34, Self-emp-not-inc, 80933, HS-grad, 9, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+64, Local-gov, 190660, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+27, Private, 120155, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 39, United-States, <=50K
+47, Private, 167159, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 4650, 0, 40, United-States, <=50K
+36, Private, 58343, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 3103, 0, 42, United-States, >50K
+44, Federal-gov, 161240, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 126402, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, Black, Female, 0, 0, 60, United-States, <=50K
+23, Private, 148709, HS-grad, 9, Married-civ-spouse, Adm-clerical, Other-relative, White, Female, 0, 0, 35, United-States, <=50K
+45, Local-gov, 318280, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 50, United-States, >50K
+31, Local-gov, 80058, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 64, United-States, <=50K
+45, Private, 274689, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K
+42, Private, 157367, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 35, ?, <=50K
+33, Private, 217460, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+33, Local-gov, 33727, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, <=50K
+30, Self-emp-not-inc, 166961, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 20, United-States, >50K
+25, Private, 146117, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K
+33, Private, 160216, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 32, ?, <=50K
+70, Self-emp-not-inc, 124449, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2246, 8, United-States, >50K
+22, Private, 50163, 9th, 5, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 235271, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+46, Private, 121124, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K
+43, Self-emp-not-inc, 144218, 12th, 8, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K
+37, Private, 94334, 7th-8th, 4, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+59, Self-emp-inc, 169982, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 60, United-States, >50K
+51, Self-emp-not-inc, 35295, HS-grad, 9, Never-married, Farming-fishing, Unmarried, White, Male, 0, 0, 45, United-States, <=50K
+47, Private, 133969, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 2885, 0, 65, Japan, <=50K
+36, Private, 35429, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K
+73, Local-gov, 205580, 5th-6th, 3, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 6, United-States, <=50K
+32, Local-gov, 177794, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+34, Private, 167474, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K
+51, Local-gov, 35211, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K
+20, Private, 117244, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, White, Female, 0, 0, 45, United-States, <=50K
+57, Private, 194850, Some-college, 10, Married-civ-spouse, Other-service, Husband, Other, Male, 0, 0, 40, Mexico, <=50K
+19, Private, 144911, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+45, Private, 197240, 12th, 8, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 40, United-States, >50K
+55, Private, 101338, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+60, Private, 148522, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K
+19, Private, 97261, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 166606, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 229414, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+34, Local-gov, 209213, Bachelors, 13, Never-married, Prof-specialty, Other-relative, Black, Male, 0, 0, 15, United-States, <=50K
+26, Private, 291968, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 40, United-States, >50K
+73, Federal-gov, 127858, Some-college, 10, Widowed, Tech-support, Not-in-family, White, Female, 3273, 0, 40, United-States, <=50K
+27, Private, 302406, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, <=50K
+37, Self-emp-not-inc, 29054, Assoc-voc, 11, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 84, United-States, <=50K
+73, Self-emp-not-inc, 336007, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+46, Federal-gov, 349230, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 1848, 40, United-States, >50K
+36, Local-gov, 101481, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+54, Self-emp-not-inc, 46704, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, >50K
+49, Private, 233639, 11th, 7, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 50, United-States, <=50K
+68, Local-gov, 31725, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 54850, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 1590, 50, United-States, <=50K
+30, Private, 293512, Assoc-voc, 11, Never-married, Prof-specialty, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+28, Private, 375655, Bachelors, 13, Never-married, Sales, Unmarried, White, Male, 0, 0, 50, United-States, <=50K
+28, Private, 105817, 11th, 7, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+25, Local-gov, 203408, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 162302, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K
+40, Private, 163455, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 55, United-States, >50K
+32, Local-gov, 100135, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+60, ?, 41517, 11th, 7, Married-spouse-absent, ?, Unmarried, Black, Female, 0, 0, 20, United-States, <=50K
+18, Private, 102182, 12th, 8, Never-married, Priv-house-serv, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+36, Private, 414683, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+26, Private, 194352, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+24, Private, 194096, HS-grad, 9, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 45, United-States, <=50K
+90, Local-gov, 153602, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 6767, 0, 40, United-States, <=50K
+20, Private, 215495, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, Mexico, <=50K
+27, Private, 164607, Bachelors, 13, Separated, Tech-support, Own-child, White, Male, 0, 0, 50, United-States, <=50K
+58, Local-gov, 34878, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+37, Private, 126569, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 40, United-States, >50K
+65, ?, 315728, HS-grad, 9, Widowed, ?, Unmarried, White, Female, 2329, 0, 75, United-States, <=50K
+28, Private, 22422, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+36, Local-gov, 178222, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K
+45, Local-gov, 56841, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+23, Private, 300275, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K
+69, Local-gov, 197288, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 35, United-States, <=50K
+58, Self-emp-not-inc, 157786, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 110684, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+58, Self-emp-not-inc, 140729, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 35, United-States, <=50K
+53, Federal-gov, 90127, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 60, United-States, >50K
+44, Self-emp-inc, 37997, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K
+31, Private, 61308, 10th, 6, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+46, Private, 171199, Bachelors, 13, Divorced, Machine-op-inspct, Unmarried, Other, Female, 0, 0, 40, Puerto-Rico, <=50K
+48, Private, 128432, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+46, Federal-gov, 195023, Some-college, 10, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+43, Private, 122473, 9th, 5, Never-married, Machine-op-inspct, Unmarried, Black, Female, 0, 625, 40, United-States, <=50K
+43, Private, 171888, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+17, Self-emp-inc, 183784, 10th, 6, Never-married, Sales, Own-child, White, Male, 0, 0, 15, United-States, <=50K
+20, Private, 219262, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 71379, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+19, ?, 234519, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+35, Private, 96824, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+29, Private, 242597, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+18, ?, 127388, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+25, Private, 204536, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+54, Private, 143804, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 80680, Some-college, 10, Married-civ-spouse, Sales, Own-child, White, Female, 0, 0, 16, United-States, <=50K
+36, Private, 301227, 5th-6th, 3, Separated, Priv-house-serv, Unmarried, Other, Female, 0, 0, 35, Mexico, <=50K
+26, Self-emp-not-inc, 201930, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+25, Local-gov, 176616, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+46, Private, 353219, 9th, 5, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+41, Private, 126076, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+31, Private, 156493, HS-grad, 9, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+48, Federal-gov, 435503, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+52, Self-emp-inc, 561489, Masters, 14, Divorced, Exec-managerial, Not-in-family, Black, Female, 0, 0, 50, United-States, <=50K
+22, Federal-gov, 100345, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 43, United-States, <=50K
+18, Private, 36275, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 25, United-States, <=50K
+46, Private, 110794, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+34, Local-gov, 143766, Some-college, 10, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+30, Federal-gov, 76313, HS-grad, 9, Married-civ-spouse, Armed-Forces, Other-relative, Amer-Indian-Eskimo, Male, 0, 0, 48, United-States, <=50K
+31, Private, 121308, 11th, 7, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 216672, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+41, Self-emp-not-inc, 89942, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 3674, 0, 45, United-States, <=50K
+45, State-gov, 103406, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 60, United-States, >50K
+30, State-gov, 158291, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 455361, 9th, 5, Never-married, Other-service, Unmarried, White, Male, 0, 0, 35, Mexico, <=50K
+44, Private, 225263, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 1408, 46, United-States, <=50K
+54, Private, 225307, 11th, 7, Divorced, Craft-repair, Own-child, White, Female, 0, 0, 50, United-States, >50K
+36, Private, 286115, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+50, Private, 187830, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, >50K
+26, Private, 142506, Bachelors, 13, Never-married, Prof-specialty, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K
+47, Local-gov, 148576, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, <=50K
+36, Private, 185325, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 37, United-States, <=50K
+32, Self-emp-not-inc, 27939, Some-college, 10, Married-civ-spouse, Sales, Husband, Amer-Indian-Eskimo, Male, 0, 0, 60, United-States, <=50K
+21, Private, 383603, 10th, 6, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+30, Private, 140790, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K
+34, Private, 226629, HS-grad, 9, Never-married, Priv-house-serv, Not-in-family, White, Female, 0, 0, 40, Mexico, <=50K
+51, Private, 228516, HS-grad, 9, Married-spouse-absent, Craft-repair, Not-in-family, White, Male, 0, 0, 45, Columbia, <=50K
+55, Self-emp-not-inc, 119762, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K
+43, Private, 299197, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 149297, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 30, United-States, <=50K
+28, Local-gov, 202558, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+39, Private, 175232, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K
+35, Self-emp-not-inc, 157473, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+59, ?, 409842, Masters, 14, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 20, United-States, <=50K
+26, Private, 105787, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 36, United-States, <=50K
+68, Private, 144056, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 3818, 0, 40, United-States, <=50K
+46, Private, 45363, Prof-school, 15, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 2824, 40, United-States, >50K
+21, Private, 205838, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 37, United-States, <=50K
+23, Private, 115326, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+17, Private, 186890, 10th, 6, Married-civ-spouse, Sales, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+23, Local-gov, 304386, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+34, Private, 24529, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Male, 0, 0, 15, United-States, <=50K
+33, Private, 183557, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+31, Private, 342730, Assoc-acdm, 12, Separated, Transport-moving, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+31, ?, 182191, Bachelors, 13, Married-civ-spouse, ?, Wife, White, Female, 4064, 0, 30, Canada, <=50K
+56, Self-emp-not-inc, 67841, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 351381, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+45, Private, 293691, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female, 0, 1590, 40, Japan, <=50K
+41, Self-emp-inc, 220821, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 40, United-States, >50K
+26, Private, 190027, 10th, 6, Divorced, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+41, Private, 343944, 11th, 7, Widowed, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+46, Self-emp-inc, 110457, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K
+47, State-gov, 72333, HS-grad, 9, Divorced, Adm-clerical, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K
+43, Self-emp-not-inc, 193494, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K
+35, Private, 334999, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K
+44, Self-emp-not-inc, 274363, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+58, Self-emp-inc, 113806, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 30, United-States, >50K
+25, Private, 52536, Assoc-acdm, 12, Divorced, Tech-support, Own-child, White, Female, 0, 1594, 25, United-States, <=50K
+44, Private, 187720, Assoc-voc, 11, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+57, Private, 104996, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K
+24, Private, 214555, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 52963, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+33, Private, 190511, 7th-8th, 4, Divorced, Handlers-cleaners, Not-in-family, White, Male, 2176, 0, 35, United-States, <=50K
+25, Private, 75821, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+33, Private, 123291, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 84, United-States, >50K
+50, Local-gov, 226497, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 52, United-States, >50K
+35, Private, 282979, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 5178, 0, 50, United-States, >50K
+36, Private, 166549, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 55, United-States, >50K
+27, Private, 187746, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+22, Private, 157145, Assoc-voc, 11, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 50, United-States, <=50K
+30, Private, 227551, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+90, Private, 115306, Masters, 14, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+39, Private, 169249, HS-grad, 9, Separated, Other-service, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K
+34, State-gov, 221966, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+39, Private, 224566, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K
+19, Private, 28119, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 4, United-States, <=50K
+19, Private, 323810, 10th, 6, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 210498, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+66, Self-emp-not-inc, 174995, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 2290, 0, 30, Hungary, <=50K
+38, Private, 161141, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 45, United-States, <=50K
+44, Private, 210534, 5th-6th, 3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+34, Self-emp-not-inc, 112650, 7th-8th, 4, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+35, State-gov, 318891, Assoc-acdm, 12, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+29, Local-gov, 375655, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 228465, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+33, ?, 102130, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+73, Private, 183213, Assoc-voc, 11, Widowed, Prof-specialty, Not-in-family, White, Male, 25124, 0, 60, United-States, >50K
+35, Local-gov, 177305, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2377, 40, United-States, <=50K
+41, Private, 34037, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+27, Self-emp-not-inc, 116613, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 50, United-States, <=50K
+25, Private, 175540, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+47, Private, 150768, Bachelors, 13, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 1564, 51, United-States, >50K
+36, Private, 176634, Bachelors, 13, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 35, United-States, >50K
+36, Private, 209993, 1st-4th, 2, Widowed, Other-service, Other-relative, White, Female, 0, 0, 20, Mexico, <=50K
+25, Local-gov, 206002, HS-grad, 9, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+37, Private, 201259, 11th, 7, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K
+26, Local-gov, 202286, Bachelors, 13, Never-married, Tech-support, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+53, Private, 96062, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1740, 40, United-States, <=50K
+36, Local-gov, 578377, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, <=50K
+30, Private, 509500, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Female, 4787, 0, 45, United-States, >50K
+53, Local-gov, 324021, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+37, Self-emp-not-inc, 107737, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+41, State-gov, 129865, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+53, Private, 103586, Bachelors, 13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 55, United-States, <=50K
+23, Private, 187513, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 32, United-States, <=50K
+28, Private, 172891, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K
+53, Local-gov, 207449, 10th, 6, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 209103, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 20, United-States, >50K
+33, Private, 408813, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+27, Private, 209292, HS-grad, 9, Never-married, Sales, Other-relative, Black, Female, 0, 0, 32, Dominican-Republic, <=50K
+52, Private, 144361, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1902, 40, United-States, >50K
+31, Private, 209538, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 55, United-States, <=50K
+27, Private, 244402, Assoc-acdm, 12, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, >50K
+44, Private, 889965, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Wife, White, Female, 3137, 0, 30, United-States, <=50K
+37, Self-emp-not-inc, 298444, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+39, Private, 163237, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K
+18, Private, 311795, 12th, 8, Never-married, Sales, Own-child, Black, Female, 0, 0, 20, United-States, <=50K
+42, Private, 155972, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K
+49, Private, 291783, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+35, Private, 153535, HS-grad, 9, Divorced, Handlers-cleaners, Unmarried, Black, Female, 0, 0, 36, United-States, <=50K
+43, Private, 249771, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male, 0, 0, 99, United-States, <=50K
+43, Private, 462180, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 60, United-States, >50K
+31, Private, 308540, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+27, Private, 34701, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+46, Federal-gov, 106252, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+54, Private, 138944, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 44, United-States, <=50K
+37, Private, 140713, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, Jamaica, >50K
+53, Local-gov, 216931, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 4386, 0, 40, United-States, >50K
+26, Private, 162312, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 20, Philippines, <=50K
+59, Self-emp-inc, 253062, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K
+36, Federal-gov, 359249, Some-college, 10, Separated, Adm-clerical, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+32, Private, 231413, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K
+53, Local-gov, 197054, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+26, Private, 130931, HS-grad, 9, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+35, Private, 30565, HS-grad, 9, Married-AF-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, >50K
+48, Private, 105138, HS-grad, 9, Divorced, Exec-managerial, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K
+30, Local-gov, 178383, Some-college, 10, Separated, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+38, Private, 241998, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 40, United-States, >50K
+58, Self-emp-not-inc, 196403, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 10, United-States, >50K
+44, Private, 232421, HS-grad, 9, Married-spouse-absent, Transport-moving, Not-in-family, Other, Male, 0, 0, 32, Canada, <=50K
+30, Private, 130369, Assoc-voc, 11, Separated, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+68, Self-emp-not-inc, 336329, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 10, United-States, <=50K
+26, Local-gov, 337867, Bachelors, 13, Never-married, Prof-specialty, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+26, Local-gov, 104614, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+41, Private, 223548, 1st-4th, 2, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+43, State-gov, 506329, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 15024, 0, 40, ?, >50K
+48, Private, 64479, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 47, United-States, <=50K
+55, Private, 284095, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 37, United-States, <=50K
+50, Self-emp-not-inc, 221336, Some-college, 10, Divorced, Exec-managerial, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, ?, <=50K
+41, Private, 428499, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1485, 50, United-States, >50K
+52, Private, 208302, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 36, United-States, <=50K
+24, ?, 412156, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 40, Mexico, <=50K
+31, Self-emp-not-inc, 182177, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1902, 40, United-States, >50K
+54, Local-gov, 129972, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 38, United-States, >50K
+31, Self-emp-not-inc, 186420, Masters, 14, Separated, Tech-support, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K
+31, Self-emp-inc, 203488, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+47, Private, 128796, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+40, Private, 55395, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+46, State-gov, 314770, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 48, United-States, <=50K
+45, Private, 135044, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+39, Private, 319248, 10th, 6, Never-married, Other-service, Unmarried, White, Female, 0, 0, 25, Mexico, <=50K
+34, Local-gov, 236415, Some-college, 10, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 18, United-States, <=50K
+48, ?, 151584, Some-college, 10, Never-married, ?, Not-in-family, White, Male, 8614, 0, 60, United-States, >50K
+19, ?, 133983, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+56, Private, 81220, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, Canada, <=50K
+47, Private, 151087, HS-grad, 9, Separated, Prof-specialty, Other-relative, Other, Female, 0, 0, 40, Puerto-Rico, <=50K
+35, Private, 322171, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, >50K
+25, Private, 190628, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Columbia, <=50K
+43, Local-gov, 106982, Bachelors, 13, Separated, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+59, Private, 227856, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 37, United-States, >50K
+66, ?, 213477, 7th-8th, 4, Divorced, ?, Not-in-family, White, Male, 0, 0, 10, United-States, <=50K
+63, Private, 266083, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, >50K
+32, Private, 257068, Some-college, 10, Married-spouse-absent, Transport-moving, Not-in-family, White, Female, 0, 0, 37, United-States, <=50K
+58, ?, 37591, Bachelors, 13, Widowed, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+43, Self-emp-inc, 150533, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Other-relative, White, Male, 0, 0, 50, United-States, >50K
+27, Private, 211184, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 52, United-States, <=50K
+21, Private, 136610, 12th, 8, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 32, United-States, <=50K
+44, Federal-gov, 244054, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 60, United-States, >50K
+40, Self-emp-not-inc, 240698, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K
+65, Private, 172906, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+50, Private, 238959, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, >50K
+18, ?, 163085, HS-grad, 9, Separated, ?, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+51, State-gov, 172022, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+44, Federal-gov, 218062, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+20, Private, 201799, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 13, United-States, <=50K
+29, Private, 150717, Assoc-voc, 11, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+50, Private, 94391, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K
+50, Local-gov, 153064, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 5178, 0, 40, United-States, >50K
+43, Private, 156771, 10th, 6, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 216639, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+41, Private, 82161, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+30, ?, 159159, Some-college, 10, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 30, United-States, <=50K
+58, Self-emp-not-inc, 310014, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 25, United-States, <=50K
+50, State-gov, 133014, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+37, Self-emp-not-inc, 36214, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 65, United-States, >50K
+21, Private, 399022, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 24, United-States, <=50K
+33, Private, 179758, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 20, United-States, <=50K
+52, Private, 48947, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 45, United-States, <=50K
+47, Private, 201865, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+45, Self-emp-not-inc, 319122, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 14084, 0, 45, United-States, >50K
+34, Private, 155151, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+39, Private, 24106, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, Philippines, >50K
+31, Private, 257863, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K
+19, ?, 28967, Some-college, 10, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+45, Private, 379393, Some-college, 10, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+45, Self-emp-not-inc, 152752, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 3, United-States, <=50K
+34, Private, 154874, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 4416, 0, 30, United-States, <=50K
+27, Private, 154210, 11th, 7, Married-spouse-absent, Sales, Own-child, Asian-Pac-Islander, Male, 0, 0, 35, India, <=50K
+37, Private, 335716, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+20, Private, 94744, HS-grad, 9, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 20, United-States, <=50K
+32, Private, 133861, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 13550, 0, 48, United-States, >50K
+24, Private, 240137, 1st-4th, 2, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 55, Mexico, <=50K
+39, Private, 80004, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+18, Private, 109702, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+62, Self-emp-not-inc, 39610, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 80, United-States, <=50K
+24, Private, 90046, Bachelors, 13, Separated, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+37, Private, 193855, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K
+46, Private, 206889, Bachelors, 13, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K
+44, Private, 86298, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+53, Private, 149650, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 2559, 48, United-States, >50K
+25, Private, 323139, Bachelors, 13, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+44, Private, 237993, Prof-school, 15, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, ?, <=50K
+24, Private, 36058, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+61, Private, 163393, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 20, United-States, <=50K
+45, Local-gov, 93535, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+33, Self-emp-not-inc, 112952, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 48, United-States, <=50K
+48, Private, 182541, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 45, United-States, >50K
+26, Local-gov, 73392, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 30, United-States, <=50K
+40, ?, 507086, HS-grad, 9, Divorced, ?, Not-in-family, Black, Female, 0, 0, 32, United-States, <=50K
+68, Private, 195868, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 20051, 0, 40, United-States, >50K
+24, Private, 276851, HS-grad, 9, Divorced, Protective-serv, Own-child, White, Female, 0, 1762, 40, United-States, <=50K
+25, ?, 39901, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 60, United-States, <=50K
+31, Local-gov, 33124, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+55, Private, 419732, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 38, United-States, <=50K
+46, Private, 171095, Assoc-acdm, 12, Divorced, Sales, Unmarried, White, Female, 0, 0, 38, United-States, <=50K
+58, Private, 199278, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K
+56, Private, 235205, HS-grad, 9, Widowed, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+45, Federal-gov, 168232, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 55, United-States, >50K
+24, Private, 145964, Bachelors, 13, Never-married, Exec-managerial, Unmarried, White, Male, 0, 0, 40, United-States, >50K
+35, Local-gov, 72338, HS-grad, 9, Divorced, Farming-fishing, Own-child, Asian-Pac-Islander, Male, 0, 0, 56, United-States, <=50K
+51, Private, 153870, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K
+47, Private, 323798, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 55, United-States, >50K
+17, Private, 198830, 11th, 7, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 10, United-States, <=50K
+21, Private, 267040, 10th, 6, Never-married, Prof-specialty, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+45, Private, 167187, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, >50K
+42, Private, 230684, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 5178, 0, 50, United-States, >50K
+56, Private, 659558, 12th, 8, Widowed, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+39, Private, 181661, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 186144, 7th-8th, 4, Never-married, Machine-op-inspct, Not-in-family, Other, Female, 0, 0, 40, Mexico, <=50K
+20, Federal-gov, 178517, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+65, Self-emp-not-inc, 131417, 5th-6th, 3, Married-civ-spouse, Farming-fishing, Husband, White, Male, 1797, 0, 21, United-States, <=50K
+44, Private, 57233, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K
+33, Private, 379798, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 122175, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K
+38, Private, 107302, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K
+31, Local-gov, 127651, 10th, 6, Never-married, Transport-moving, Other-relative, White, Male, 0, 1741, 40, United-States, <=50K
+33, Self-emp-not-inc, 102884, Bachelors, 13, Married-civ-spouse, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+49, Self-emp-not-inc, 241753, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+28, Private, 173611, HS-grad, 9, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+29, Private, 232666, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 352207, Assoc-voc, 11, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+37, Self-emp-not-inc, 241998, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 5, United-States, >50K
+52, Private, 279129, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 37, United-States, >50K
+27, Private, 177057, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+47, Private, 155659, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 55, United-States, >50K
+21, Private, 251603, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+41, Federal-gov, 19914, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, >50K
+61, Private, 115023, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+32, Private, 101709, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, >50K
+21, Private, 313702, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+63, Private, 250068, 12th, 8, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+34, Private, 227359, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 42, United-States, <=50K
+21, State-gov, 196827, Assoc-acdm, 12, Never-married, Tech-support, Own-child, White, Male, 0, 0, 10, United-States, <=50K
+44, Private, 118550, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 33, United-States, <=50K
+26, Private, 285004, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 35, South, <=50K
+36, Private, 280169, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+39, Private, 144608, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, ?, >50K
+52, Private, 76860, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Asian-Pac-Islander, Male, 0, 0, 8, Philippines, <=50K
+44, Self-emp-not-inc, 167280, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+42, Private, 334783, HS-grad, 9, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, <=50K
+60, ?, 141580, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 50, United-States, >50K
+31, Private, 226443, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 366065, Some-college, 10, Never-married, Craft-repair, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K
+23, Private, 225724, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+81, State-gov, 132204, 1st-4th, 2, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+39, Private, 258276, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male, 3137, 0, 40, ?, <=50K
+38, Private, 197711, 10th, 6, Divorced, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, Portugal, <=50K
+21, Private, 30619, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K
+28, Local-gov, 335015, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 61272, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+47, Private, 106544, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+36, Private, 144169, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+27, Private, 40295, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 99, United-States, <=50K
+56, Private, 266091, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 2907, 0, 52, Cuba, <=50K
+57, Private, 143030, HS-grad, 9, Widowed, Other-service, Unmarried, White, Female, 0, 0, 30, ?, <=50K
+42, State-gov, 192397, Some-college, 10, Divorced, Adm-clerical, Own-child, White, Female, 0, 0, 38, United-States, <=50K
+43, Private, 114351, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+48, ?, 63466, HS-grad, 9, Married-spouse-absent, ?, Unmarried, White, Female, 0, 0, 32, United-States, <=50K
+53, Private, 132304, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, Scotland, <=50K
+58, Private, 128162, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K
+19, Private, 125938, 12th, 8, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, El-Salvador, <=50K
+37, Private, 170174, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 46, United-States, >50K
+41, Self-emp-not-inc, 203451, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K
+31, Private, 109917, 7th-8th, 4, Separated, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+31, Private, 114937, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, <=50K
+53, Local-gov, 231196, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+19, Private, 238474, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 25, United-States, <=50K
+56, Private, 314149, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+55, Federal-gov, 31728, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K
+51, Private, 360131, 5th-6th, 3, Married-civ-spouse, Craft-repair, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+62, Private, 141308, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+43, Private, 83411, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+45, ?, 119835, 7th-8th, 4, Divorced, ?, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 48, United-States, <=50K
+28, Local-gov, 296537, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+46, Private, 193047, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+62, State-gov, 39630, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+57, Local-gov, 213975, HS-grad, 9, Widowed, Other-service, Unmarried, White, Female, 0, 0, 30, United-States, <=50K
+60, Local-gov, 259803, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 45, United-States, >50K
+23, Federal-gov, 55465, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+47, Private, 181307, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 99999, 0, 60, United-States, >50K
+21, Private, 211301, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 8, United-States, <=50K
+51, Private, 200450, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 48, United-States, <=50K
+61, Local-gov, 176731, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+52, Self-emp-not-inc, 140985, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 99999, 0, 30, United-States, >50K
+76, Private, 125784, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 152176, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 39, United-States, <=50K
+31, Self-emp-not-inc, 111423, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K
+43, Private, 130126, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K
+58, Federal-gov, 30111, Some-college, 10, Widowed, Prof-specialty, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K
+18, ?, 214989, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 1602, 24, United-States, <=50K
+19, Private, 272800, 12th, 8, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+44, Private, 195881, Some-college, 10, Divorced, Exec-managerial, Other-relative, White, Female, 0, 0, 45, United-States, <=50K
+41, Local-gov, 170924, Some-college, 10, Never-married, Prof-specialty, Other-relative, White, Male, 0, 0, 7, United-States, <=50K
+21, Private, 131473, Some-college, 10, Never-married, Sales, Own-child, Asian-Pac-Islander, Male, 0, 0, 20, Vietnam, <=50K
+40, Private, 149466, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 35, United-States, <=50K
+25, Private, 190418, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, Canada, <=50K
+62, Local-gov, 167889, Doctorate, 16, Widowed, Prof-specialty, Unmarried, White, Female, 0, 0, 40, Iran, <=50K
+42, Private, 177989, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 186035, Assoc-voc, 11, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+19, Private, 195805, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 12, United-States, <=50K
+60, Private, 54800, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K
+20, Private, 100605, HS-grad, 9, Never-married, Sales, Own-child, Other, Male, 0, 0, 40, Puerto-Rico, <=50K
+23, Private, 253190, Assoc-acdm, 12, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 25, United-States, <=50K
+18, Private, 203301, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+40, Private, 175696, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+19, Private, 278304, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+51, Private, 93193, HS-grad, 9, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+41, Local-gov, 158688, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 50, United-States, <=50K
+18, Private, 327612, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+41, Private, 210844, Some-college, 10, Married-spouse-absent, Sales, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+27, Private, 147340, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+71, Self-emp-not-inc, 130436, 1st-4th, 2, Divorced, Craft-repair, Not-in-family, White, Female, 0, 0, 28, United-States, <=50K
+25, Private, 206600, 12th, 8, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, El-Salvador, <=50K
+73, Private, 284680, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+45, Private, 127738, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 213412, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+50, Private, 287927, HS-grad, 9, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 16, United-States, <=50K
+44, Private, 249332, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, Ecuador, <=50K
+44, Local-gov, 290403, Assoc-voc, 11, Divorced, Protective-serv, Own-child, White, Female, 0, 0, 40, Cuba, <=50K
+49, Private, 54772, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 3103, 0, 45, United-States, >50K
+44, Self-emp-inc, 56651, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 45, United-States, >50K
+42, Federal-gov, 178470, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+20, Private, 62865, HS-grad, 9, Never-married, Priv-house-serv, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+66, Private, 107196, HS-grad, 9, Widowed, Tech-support, Not-in-family, White, Female, 0, 0, 18, United-States, <=50K
+19, Private, 86860, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 15, United-States, <=50K
+60, Private, 130684, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K
+46, Private, 164682, Assoc-voc, 11, Separated, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+42, Private, 198316, Assoc-voc, 11, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+59, Private, 261816, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 52, Outlying-US(Guam-USVI-etc), <=50K
+58, Private, 280309, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 5178, 0, 60, United-States, >50K
+47, Private, 97176, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+58, Private, 95835, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 36, United-States, <=50K
+69, ?, 323016, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 99999, 0, 40, United-States, >50K
+17, ?, 280670, 10th, 6, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+19, Private, 136306, 11th, 7, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 24, United-States, <=50K
+28, Private, 65171, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 70, United-States, <=50K
+37, Private, 25864, HS-grad, 9, Separated, Prof-specialty, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K
+30, Private, 149531, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+36, Private, 33887, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+45, Private, 172822, 11th, 7, Divorced, Transport-moving, Not-in-family, White, Male, 0, 2824, 76, United-States, >50K
+59, Private, 106748, 7th-8th, 4, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 99, United-States, <=50K
+45, Private, 131826, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+53, Local-gov, 216691, Doctorate, 16, Divorced, Prof-specialty, Not-in-family, White, Female, 10520, 0, 40, United-States, >50K
+37, Private, 133328, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+26, Private, 164737, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+53, Local-gov, 99064, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+44, State-gov, 59460, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 15, United-States, <=50K
+27, Private, 208725, Bachelors, 13, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 138513, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+41, Private, 121055, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+53, Private, 149784, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+58, Private, 114495, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+34, ?, 133278, 12th, 8, Separated, ?, Unmarried, Black, Female, 0, 0, 53, United-States, <=50K
+32, Private, 212276, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K
+32, Private, 440129, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 38, Mexico, <=50K
+47, Private, 98012, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 7688, 0, 40, United-States, >50K
+27, Private, 145284, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 177147, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 141537, 10th, 6, Divorced, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+36, Self-emp-not-inc, 48093, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 92, United-States, <=50K
+23, Local-gov, 314819, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+44, Private, 123572, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+19, Private, 170800, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 60, United-States, <=50K
+42, Private, 332401, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+60, Self-emp-not-inc, 193038, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 15, United-States, <=50K
+41, Private, 351161, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 1848, 45, United-States, >50K
+45, Federal-gov, 106910, HS-grad, 9, Never-married, Transport-moving, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K
+67, ?, 163726, 5th-6th, 3, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 49, United-States, <=50K
+36, Self-emp-not-inc, 609935, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 48, ?, <=50K
+52, State-gov, 314627, Masters, 14, Divorced, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K
+28, Private, 115945, Doctorate, 16, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 18, United-States, <=50K
+83, Self-emp-inc, 272248, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K
+17, Private, 167878, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+27, Private, 176972, Assoc-voc, 11, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+35, Self-emp-not-inc, 31095, Assoc-voc, 11, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+40, Private, 130834, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+23, Private, 207415, Assoc-acdm, 12, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 25, United-States, <=50K
+51, Local-gov, 264457, 11th, 7, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+51, Private, 340588, 1st-4th, 2, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 54, Mexico, <=50K
+82, ?, 42435, 10th, 6, Widowed, ?, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K
+28, Private, 107411, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+53, Private, 290640, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 50, Germany, >50K
+29, Private, 106179, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, Canada, <=50K
+19, Private, 247679, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+30, Private, 171598, Bachelors, 13, Married-spouse-absent, Sales, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+23, Private, 234460, 7th-8th, 4, Never-married, Machine-op-inspct, Own-child, Black, Female, 0, 0, 40, Dominican-Republic, <=50K
+66, Private, 196674, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 15, United-States, >50K
+27, Private, 182540, 11th, 7, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 172694, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+17, Private, 29571, 12th, 8, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 15, United-States, <=50K
+27, Private, 130438, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 213421, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+44, Local-gov, 189956, Bachelors, 13, Married-civ-spouse, Protective-serv, Wife, Black, Female, 15024, 0, 40, United-States, >50K
+64, Private, 133144, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 16, United-States, <=50K
+62, Self-emp-inc, 24050, HS-grad, 9, Widowed, Sales, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K
+26, Private, 276967, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 184857, HS-grad, 9, Separated, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 145160, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+35, Private, 192251, HS-grad, 9, Divorced, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+25, Private, 190650, Bachelors, 13, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, Taiwan, <=50K
+52, Local-gov, 255927, Some-college, 10, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K
+46, Private, 99086, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K
+30, Private, 216811, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K
+52, Private, 110563, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+28, Private, 120471, HS-grad, 9, Never-married, Transport-moving, Not-in-family, Other, Male, 0, 0, 40, United-States, <=50K
+17, Private, 183066, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+46, State-gov, 298786, Some-college, 10, Never-married, Other-service, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+45, Private, 297884, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+21, Private, 253612, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 1055, 0, 32, United-States, <=50K
+18, Self-emp-not-inc, 207438, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K
+17, Private, 148522, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 1721, 15, United-States, <=50K
+90, Private, 139660, Some-college, 10, Divorced, Sales, Unmarried, Black, Female, 0, 0, 37, United-States, <=50K
+23, Private, 165474, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+41, Private, 120277, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+19, Self-emp-not-inc, 67929, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 50, United-States, <=50K
+69, Private, 229418, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+23, Federal-gov, 41356, Assoc-acdm, 12, Never-married, Exec-managerial, Unmarried, White, Female, 0, 0, 32, United-States, <=50K
+28, Private, 185127, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 54, United-States, <=50K
+37, Private, 109133, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 1977, 45, United-States, >50K
+57, Private, 148315, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 30, United-States, <=50K
+30, Local-gov, 145692, Some-college, 10, Never-married, Protective-serv, Not-in-family, Black, Male, 0, 1974, 40, United-States, <=50K
+48, Private, 210424, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 914, 0, 40, United-States, <=50K
+73, Private, 198526, HS-grad, 9, Widowed, Other-service, Other-relative, White, Female, 0, 0, 32, United-States, <=50K
+25, Private, 521400, 5th-6th, 3, Never-married, Machine-op-inspct, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K
+33, Private, 100882, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+36, Private, 124818, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 190836, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 3411, 0, 40, United-States, <=50K
+57, Private, 71367, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+31, Private, 303032, Some-college, 10, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+35, ?, 98989, 9th, 5, Divorced, ?, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 38, United-States, <=50K
+40, State-gov, 390781, HS-grad, 9, Divorced, Other-service, Not-in-family, Black, Female, 0, 0, 48, United-States, <=50K
+32, Private, 54782, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+35, ?, 202683, Bachelors, 13, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 213081, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, Jamaica, <=50K
+27, Self-emp-inc, 89718, Some-college, 10, Separated, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+17, Private, 225106, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 1602, 18, United-States, <=50K
+29, Private, 253262, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+18, Private, 78181, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+20, Private, 158206, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+69, ?, 337720, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 24, United-States, <=50K
+18, State-gov, 391257, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+56, Private, 134756, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+40, Private, 183404, Some-college, 10, Separated, Other-service, Unmarried, White, Female, 0, 0, 8, United-States, <=50K
+46, Private, 192793, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+41, Private, 203943, 12th, 8, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 40, ?, <=50K
+53, Private, 89400, Some-college, 10, Widowed, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+50, Private, 237868, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+23, Private, 139187, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 50, United-States, <=50K
+40, Private, 126701, Bachelors, 13, Married-spouse-absent, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+54, Self-emp-inc, 172175, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K
+45, Private, 164210, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+53, Local-gov, 608184, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, >50K
+17, ?, 198797, 11th, 7, Never-married, ?, Own-child, White, Male, 0, 0, 20, Peru, <=50K
+50, Local-gov, 425804, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, >50K
+22, ?, 117618, Bachelors, 13, Never-married, ?, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K
+30, Private, 119164, Bachelors, 13, Never-married, Other-service, Unmarried, White, Male, 0, 0, 40, ?, <=50K
+40, Self-emp-inc, 92036, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+36, State-gov, 77146, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+25, Self-emp-not-inc, 191803, Assoc-acdm, 12, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+29, Private, 54932, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 251694, Bachelors, 13, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 50, United-States, <=50K
+22, Private, 268145, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+56, Private, 104842, Bachelors, 13, Divorced, Prof-specialty, Unmarried, Black, Female, 0, 0, 50, Haiti, <=50K
+60, Local-gov, 227332, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+37, Private, 212512, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 3464, 0, 50, United-States, <=50K
+53, Private, 133436, 7th-8th, 4, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+23, State-gov, 309055, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+18, Private, 59202, HS-grad, 9, Never-married, Priv-house-serv, Other-relative, White, Female, 0, 0, 10, United-States, <=50K
+36, Private, 32709, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 3325, 0, 45, United-States, <=50K
+67, Self-emp-inc, 73559, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 9386, 0, 50, United-States, >50K
+31, Private, 117963, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+26, Private, 169121, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 48, United-States, >50K
+18, Private, 308889, 11th, 7, Never-married, Adm-clerical, Other-relative, Asian-Pac-Islander, Female, 0, 0, 20, United-States, <=50K
+45, Local-gov, 144940, Masters, 14, Divorced, Prof-specialty, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+64, Private, 102041, 11th, 7, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 335998, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K
+53, Private, 29557, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+27, Private, 210313, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 28, Guatemala, <=50K
+32, Private, 190784, Some-college, 10, Divorced, Machine-op-inspct, Unmarried, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K
+49, Self-emp-not-inc, 107597, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 14084, 0, 30, United-States, >50K
+59, Private, 97168, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+44, Private, 155930, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 55, United-States, >50K
+61, Self-emp-not-inc, 181033, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K
+41, ?, 344572, HS-grad, 9, Divorced, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+46, State-gov, 170165, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 37, United-States, <=50K
+32, Private, 178835, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 118230, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+48, Private, 149640, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 30271, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 30, United-States, <=50K
+21, Private, 154165, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+50, Self-emp-not-inc, 341797, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+44, Local-gov, 145246, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 44, United-States, >50K
+51, Private, 280093, HS-grad, 9, Separated, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+42, Private, 373469, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+27, Private, 199172, Bachelors, 13, Never-married, Protective-serv, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+70, Self-emp-not-inc, 177199, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 3, United-States, <=50K
+33, Private, 258932, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+65, Self-emp-not-inc, 139960, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 10605, 0, 60, United-States, >50K
+39, Private, 258037, Masters, 14, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, ?, <=50K
+32, Private, 116677, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 59496, Some-college, 10, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+43, Self-emp-inc, 34218, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 200246, 9th, 5, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+64, Federal-gov, 316246, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+37, Local-gov, 239161, Some-college, 10, Separated, Protective-serv, Own-child, Other, Male, 0, 0, 52, United-States, <=50K
+49, Self-emp-not-inc, 173411, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 259226, 11th, 7, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 48, United-States, <=50K
+35, Local-gov, 195516, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 200598, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1740, 45, United-States, <=50K
+42, State-gov, 160369, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+21, ?, 415913, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 147253, Assoc-acdm, 12, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+35, Local-gov, 199674, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+29, State-gov, 198493, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K
+23, Private, 377121, Some-college, 10, Never-married, Other-service, Unmarried, White, Female, 0, 0, 25, United-States, <=50K
+21, Private, 400635, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 20, ?, <=50K
+45, Private, 513660, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+24, ?, 175069, Bachelors, 13, Never-married, ?, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+38, Private, 82552, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 594, 0, 50, United-States, <=50K
+28, ?, 78388, 10th, 6, Never-married, ?, Own-child, White, Female, 0, 0, 38, United-States, <=50K
+23, Private, 171705, HS-grad, 9, Never-married, Sales, Unmarried, White, Female, 0, 0, 48, United-States, <=50K
+39, Self-emp-not-inc, 315640, Bachelors, 13, Never-married, Sales, Own-child, Asian-Pac-Islander, Male, 0, 0, 60, Iran, <=50K
+45, Private, 266860, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K
+68, Private, 192829, Assoc-acdm, 12, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 43, United-States, <=50K
+60, Federal-gov, 237317, Assoc-voc, 11, Divorced, Prof-specialty, Unmarried, White, Male, 4934, 0, 40, United-States, >50K
+38, State-gov, 110426, Doctorate, 16, Married-civ-spouse, Prof-specialty, Wife, White, Female, 7688, 0, 40, ?, >50K
+41, Private, 327606, 12th, 8, Separated, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+48, Private, 34845, HS-grad, 9, Divorced, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 58582, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+48, Private, 155659, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+23, Local-gov, 210029, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+26, Private, 381618, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+55, Self-emp-inc, 298449, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2415, 50, United-States, >50K
+35, State-gov, 226789, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 75, United-States, <=50K
+52, Private, 210736, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 3103, 0, 55, United-States, >50K
+46, State-gov, 111163, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 38, United-States, <=50K
+72, ?, 76860, HS-grad, 9, Married-civ-spouse, ?, Husband, Asian-Pac-Islander, Male, 0, 0, 1, United-States, <=50K
+18, Private, 92112, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+62, Local-gov, 136787, HS-grad, 9, Divorced, Transport-moving, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 29810, Some-college, 10, Never-married, Transport-moving, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+40, Private, 360884, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 7298, 0, 40, United-States, >50K
+26, Private, 266022, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K
+35, Private, 142874, Assoc-acdm, 12, Married-spouse-absent, Sales, Own-child, Black, Female, 0, 0, 36, United-States, <=50K
+25, Self-emp-not-inc, 72338, HS-grad, 9, Never-married, Sales, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K
+46, ?, 177305, Assoc-voc, 11, Married-civ-spouse, ?, Wife, Black, Female, 0, 0, 35, United-States, >50K
+39, Private, 165106, Bachelors, 13, Married-spouse-absent, Craft-repair, Not-in-family, White, Male, 0, 1564, 50, ?, >50K
+41, Private, 424478, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 45, United-States, >50K
+59, Private, 189721, Bachelors, 13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Italy, >50K
+37, Private, 34180, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 183279, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 43, United-States, <=50K
+33, Private, 35309, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, ?, <=50K
+23, Private, 259109, Assoc-acdm, 12, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, Puerto-Rico, <=50K
+67, Self-emp-not-inc, 148690, Masters, 14, Widowed, Prof-specialty, Not-in-family, White, Male, 18481, 0, 2, United-States, >50K
+60, Private, 125019, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 8614, 0, 48, United-States, >50K
+39, Self-emp-inc, 172538, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+32, Self-emp-not-inc, 410615, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1887, 60, United-States, >50K
+26, Private, 322547, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+39, Private, 300760, HS-grad, 9, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 50, United-States, <=50K
+28, Private, 232782, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+29, Private, 174645, 11th, 7, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 52, United-States, <=50K
+43, Private, 164693, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+23, Private, 206861, Some-college, 10, Never-married, Tech-support, Own-child, White, Male, 0, 0, 25, United-States, <=50K
+32, Private, 195602, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1977, 45, United-States, >50K
+33, Self-emp-not-inc, 422960, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 60, United-States, >50K
+45, Private, 116360, HS-grad, 9, Divorced, Other-service, Not-in-family, Black, Female, 0, 0, 35, United-States, <=50K
+48, Private, 278530, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+43, Local-gov, 188291, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 45, United-States, >50K
+50, Self-emp-not-inc, 163948, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K
+63, Private, 64544, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+55, Private, 101468, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 3103, 0, 40, United-States, >50K
+22, Private, 107882, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+32, Self-emp-not-inc, 182691, HS-grad, 9, Never-married, Other-service, Unmarried, White, Male, 0, 0, 60, United-States, <=50K
+27, Private, 203776, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, <=50K
+22, Private, 201268, Bachelors, 13, Never-married, Sales, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+44, Private, 29762, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 68, United-States, <=50K
+34, Private, 186346, HS-grad, 9, Separated, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+28, Private, 196690, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+40, Private, 99604, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 15024, 0, 24, United-States, >50K
+45, Private, 194772, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 55, United-States, <=50K
+17, Private, 95446, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 15, United-States, <=50K
+53, Self-emp-not-inc, 257126, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+58, Private, 194733, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+55, Self-emp-not-inc, 98361, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+44, Local-gov, 124924, Assoc-voc, 11, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 44, United-States, <=50K
+40, Self-emp-not-inc, 111971, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 30, United-States, <=50K
+58, Self-emp-not-inc, 130714, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K
+38, Private, 208358, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+62, Private, 147627, 9th, 5, Never-married, Priv-house-serv, Not-in-family, Black, Female, 1055, 0, 22, United-States, <=50K
+31, Private, 149507, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 3464, 0, 38, United-States, <=50K
+31, Private, 164870, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+30, Private, 236861, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 1876, 45, United-States, <=50K
+37, Private, 220314, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K
+38, Local-gov, 329980, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 1876, 40, Canada, <=50K
+58, Local-gov, 318537, 12th, 8, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 183284, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+28, Private, 334368, Assoc-voc, 11, Never-married, Prof-specialty, Not-in-family, White, Female, 4650, 0, 40, United-States, <=50K
+46, Private, 109227, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 70, United-States, <=50K
+34, Private, 118551, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+39, Self-emp-inc, 163057, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 99, United-States, <=50K
+61, Self-emp-inc, 253101, Some-college, 10, Widowed, Sales, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+30, Self-emp-not-inc, 20098, Assoc-voc, 11, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+31, Private, 196227, HS-grad, 9, Separated, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+21, Private, 175374, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+50, Private, 234037, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 58, United-States, <=50K
+47, Private, 341762, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 33, United-States, <=50K
+20, Private, 174714, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 222835, Bachelors, 13, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+46, Private, 251786, 1st-4th, 2, Separated, Other-service, Not-in-family, White, Female, 0, 0, 40, Mexico, <=50K
+20, Private, 164219, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 45, United-States, <=50K
+33, Private, 251120, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 50, United-States, >50K
+30, Private, 236993, Some-college, 10, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 30, United-States, <=50K
+43, Local-gov, 105896, Some-college, 10, Divorced, Protective-serv, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+23, Private, 211527, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 60, United-States, <=50K
+34, Private, 317809, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, ?, >50K
+25, Private, 185287, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+50, Private, 31014, HS-grad, 9, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K
+44, Private, 151985, Masters, 14, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 24, United-States, >50K
+26, Private, 89389, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+35, Private, 406051, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 80, United-States, >50K
+48, Self-emp-not-inc, 171986, HS-grad, 9, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 15, United-States, <=50K
+26, Private, 167848, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+41, Local-gov, 213019, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+25, Private, 211424, Bachelors, 13, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 168981, Assoc-voc, 11, Never-married, Prof-specialty, Unmarried, White, Female, 0, 0, 55, United-States, <=50K
+24, Private, 122348, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K
+31, Private, 139753, Bachelors, 13, Married-spouse-absent, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+24, Local-gov, 176178, Assoc-acdm, 12, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 2, United-States, <=50K
+41, Private, 145220, 9th, 5, Never-married, Priv-house-serv, Unmarried, White, Female, 0, 0, 40, Columbia, <=50K
+38, Local-gov, 188612, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+19, Private, 445728, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+19, Private, 318002, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 235722, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+59, ?, 367984, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+67, Private, 212705, Masters, 14, Married-spouse-absent, Exec-managerial, Not-in-family, White, Male, 0, 0, 55, United-States, >50K
+49, Private, 411273, 10th, 6, Divorced, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+35, Private, 103986, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K
+44, Private, 203761, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+58, ?, 266792, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 99999, 0, 40, United-States, >50K
+22, Private, 116800, Assoc-acdm, 12, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 60, United-States, <=50K
+21, State-gov, 99199, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 10, United-States, <=50K
+50, Private, 162327, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 50, United-States, <=50K
+44, Local-gov, 100479, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 48, United-States, <=50K
+36, Local-gov, 32587, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K
+30, Federal-gov, 321990, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 7298, 0, 48, Cuba, >50K
+52, Private, 108914, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+35, Self-emp-not-inc, 61343, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 90, United-States, <=50K
+48, Local-gov, 81154, Assoc-voc, 11, Never-married, Protective-serv, Unmarried, White, Male, 0, 0, 48, United-States, <=50K
+23, Private, 162945, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 2377, 40, United-States, <=50K
+37, Private, 225504, Masters, 14, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+44, Self-emp-inc, 191712, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2415, 55, United-States, >50K
+44, Private, 176063, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K
+36, Private, 198587, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+26, State-gov, 34965, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 12, United-States, <=50K
+31, Self-emp-inc, 467108, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, >50K
+23, ?, 263899, HS-grad, 9, Never-married, ?, Own-child, Black, Male, 0, 0, 12, England, <=50K
+29, Private, 204984, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+53, Private, 217568, HS-grad, 9, Widowed, Craft-repair, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+52, Private, 48343, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+55, Private, 193130, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 1887, 40, United-States, >50K
+31, Private, 253354, 10th, 6, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+19, ?, 258026, HS-grad, 9, Never-married, ?, Not-in-family, White, Female, 0, 0, 16, United-States, <=50K
+64, ?, 211360, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+55, Private, 191367, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+48, Private, 148995, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K
+20, Private, 123901, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+50, Local-gov, 117496, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 7298, 0, 30, United-States, >50K
+45, Self-emp-inc, 32356, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 51, United-States, <=50K
+17, Private, 206506, 10th, 6, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 10, El-Salvador, <=50K
+38, Private, 218729, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K
+43, Private, 52498, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, >50K
+22, Private, 136767, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 30, United-States, <=50K
+63, Private, 219540, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+36, Private, 114059, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K
+56, Private, 247337, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+43, State-gov, 310969, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+41, Private, 171546, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 45, United-States, >50K
+41, Private, 217455, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+36, Private, 410489, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+59, Private, 146391, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+46, Local-gov, 165484, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 44, United-States, >50K
+23, Private, 184271, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K
+46, Self-emp-not-inc, 231347, Some-college, 10, Separated, Prof-specialty, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K
+53, Private, 95469, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 1902, 40, United-States, >50K
+47, Private, 244025, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, Amer-Indian-Eskimo, Male, 0, 0, 56, Puerto-Rico, <=50K
+46, Federal-gov, 46537, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+47, Private, 205730, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 56, United-States, >50K
+29, Private, 383745, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 1887, 30, United-States, >50K
+32, Private, 328199, Assoc-voc, 11, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+90, Private, 84553, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+63, Private, 221072, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 49, ?, <=50K
+23, Private, 123983, Assoc-voc, 11, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K
+76, ?, 191024, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 30, United-States, <=50K
+23, Private, 167868, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+44, Private, 225879, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, Other, Female, 0, 0, 30, Mexico, >50K
+81, Self-emp-inc, 247232, 10th, 6, Married-civ-spouse, Exec-managerial, Wife, White, Female, 2936, 0, 28, United-States, <=50K
+17, Private, 143791, 10th, 6, Never-married, Other-service, Own-child, Black, Female, 0, 0, 12, United-States, <=50K
+56, Private, 177271, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K
+58, Federal-gov, 129786, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+45, Private, 31339, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, >50K
+25, Private, 236267, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 130620, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female, 0, 0, 35, Philippines, >50K
+32, Private, 208180, Assoc-voc, 11, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 24, United-States, >50K
+25, Private, 292058, HS-grad, 9, Never-married, Other-service, Other-relative, White, Male, 0, 0, 30, United-States, <=50K
+29, Federal-gov, 142712, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+23, Private, 119665, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+41, Private, 116825, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K
+48, State-gov, 201177, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, United-States, >50K
+29, Private, 118337, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K
+27, ?, 173800, Masters, 14, Never-married, ?, Unmarried, Asian-Pac-Islander, Male, 0, 0, 20, Taiwan, <=50K
+55, Private, 289257, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 190912, 11th, 7, Married-civ-spouse, Handlers-cleaners, Husband, Asian-Pac-Islander, Male, 0, 1651, 40, Vietnam, <=50K
+45, Private, 140581, Some-college, 10, Widowed, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+50, Private, 174102, HS-grad, 9, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 40, Puerto-Rico, <=50K
+22, Private, 316509, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+80, Local-gov, 20101, HS-grad, 9, Widowed, Other-service, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 32, United-States, <=50K
+30, Private, 187279, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 44, United-States, <=50K
+20, Private, 259496, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+29, Self-emp-not-inc, 181466, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 35, United-States, <=50K
+56, Private, 178202, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+63, Private, 188976, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 203027, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+38, State-gov, 142022, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 40, United-States, <=50K
+31, Private, 119033, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 216181, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+47, Private, 178341, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 46, United-States, >50K
+25, Local-gov, 244408, Bachelors, 13, Never-married, Tech-support, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, Vietnam, <=50K
+31, Private, 198953, Some-college, 10, Separated, Adm-clerical, Unmarried, Black, Female, 0, 0, 38, United-States, <=50K
+28, Private, 173110, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+38, Private, 66326, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 99, United-States, <=50K
+30, Local-gov, 181091, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K
+39, Self-emp-inc, 135500, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 40, United-States, >50K
+27, Private, 133929, Bachelors, 13, Never-married, Prof-specialty, Unmarried, White, Female, 0, 0, 36, ?, <=50K
+26, Private, 86483, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+47, Private, 167787, HS-grad, 9, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+27, Self-emp-not-inc, 208577, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 2258, 50, United-States, <=50K
+43, Private, 216697, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, Other, Male, 0, 0, 32, United-States, <=50K
+32, Local-gov, 118457, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K
+20, Private, 298635, Some-college, 10, Never-married, Sales, Own-child, Asian-Pac-Islander, Male, 0, 0, 30, Philippines, <=50K
+21, Local-gov, 212780, 12th, 8, Never-married, Handlers-cleaners, Unmarried, Black, Female, 0, 0, 20, United-States, <=50K
+32, Private, 159187, Assoc-voc, 11, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 237995, Assoc-voc, 11, Divorced, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 48, United-States, <=50K
+45, Private, 160724, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Vietnam, <=50K
+37, Self-emp-inc, 183800, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 1887, 40, United-States, >50K
+54, ?, 185936, 9th, 5, Divorced, ?, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K
+24, Private, 161198, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K
+28, ?, 113635, 11th, 7, Never-married, ?, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+23, Private, 214542, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+54, ?, 172991, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 203761, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K
+38, Private, 161141, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, >50K
+71, Private, 180117, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+51, Private, 317396, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+52, Self-emp-not-inc, 237868, Some-college, 10, Never-married, Adm-clerical, Unmarried, White, Male, 0, 0, 5, United-States, <=50K
+30, Private, 323069, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+34, Private, 181091, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 40, United-States, >50K
+38, Private, 309122, 10th, 6, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+43, Federal-gov, 105936, Assoc-voc, 11, Never-married, Prof-specialty, Not-in-family, White, Female, 13550, 0, 40, United-States, >50K
+43, Private, 40024, 11th, 7, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K
+36, Federal-gov, 192443, Some-college, 10, Never-married, Exec-managerial, Not-in-family, Black, Male, 13550, 0, 40, United-States, >50K
+24, State-gov, 184216, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+29, ?, 256211, 1st-4th, 2, Never-married, ?, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K
+55, Private, 205422, 10th, 6, Married-civ-spouse, Other-service, Wife, Black, Female, 0, 0, 40, United-States, <=50K
+51, Private, 22211, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 60, United-States, >50K
+43, Local-gov, 196308, HS-grad, 9, Divorced, Exec-managerial, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K
+28, Private, 389713, HS-grad, 9, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+54, Private, 82566, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K
+47, Private, 199058, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+47, Private, 160440, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K
+47, Private, 76034, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 57, United-States, >50K
+38, Private, 188503, Some-college, 10, Never-married, Adm-clerical, Unmarried, White, Female, 6497, 0, 35, United-States, <=50K
+60, Self-emp-not-inc, 92845, 5th-6th, 3, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K
+19, Private, 29083, HS-grad, 9, Never-married, Sales, Own-child, Amer-Indian-Eskimo, Female, 0, 0, 25, United-States, <=50K
+22, Private, 234474, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 25, United-States, <=50K
+55, Local-gov, 107308, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+44, Private, 111891, Some-college, 10, Separated, Sales, Other-relative, Black, Female, 0, 0, 35, United-States, <=50K
+53, Self-emp-not-inc, 145419, 1st-4th, 2, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 67, Italy, >50K
+44, Local-gov, 193425, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 4386, 0, 40, United-States, >50K
+28, Federal-gov, 188278, Bachelors, 13, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+30, Local-gov, 303485, Some-college, 10, Never-married, Transport-moving, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+39, Local-gov, 67187, HS-grad, 9, Never-married, Exec-managerial, Own-child, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K
+43, State-gov, 114508, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+24, Private, 204172, Bachelors, 13, Never-married, Sales, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+27, Local-gov, 162973, Assoc-voc, 11, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 56, United-States, <=50K
+64, Self-emp-not-inc, 192695, 5th-6th, 3, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 70, Canada, <=50K
+41, Local-gov, 89172, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, >50K
+28, Private, 163320, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+61, Private, 128230, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 30, United-States, <=50K
+27, Private, 246440, 11th, 7, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+49, Private, 50567, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K
+20, Private, 117476, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+41, Private, 315834, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 1876, 40, United-States, <=50K
+28, Local-gov, 214881, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 195516, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+44, Self-emp-not-inc, 218653, Bachelors, 13, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+51, Private, 87205, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 7688, 0, 20, United-States, >50K
+40, Private, 164647, Some-college, 10, Divorced, Prof-specialty, Unmarried, Black, Female, 0, 0, 38, United-States, <=50K
+19, Private, 129151, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+54, Private, 319697, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, <=50K
+55, Self-emp-not-inc, 193374, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+57, Private, 167864, Assoc-voc, 11, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+29, Private, 197932, Some-college, 10, Separated, Priv-house-serv, Not-in-family, White, Female, 0, 0, 30, Guatemala, <=50K
+51, Private, 102904, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 43, United-States, <=50K
+44, Private, 216907, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 37, United-States, <=50K
+35, Local-gov, 331395, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 42, United-States, <=50K
+40, Private, 171424, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+46, Private, 35406, 7th-8th, 4, Separated, Other-service, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K
+25, Private, 238964, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, >50K
+33, Private, 213002, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 1408, 36, United-States, <=50K
+32, Private, 27882, Some-college, 10, Never-married, Machine-op-inspct, Other-relative, White, Female, 0, 2205, 40, Holand-Netherlands, <=50K
+22, Private, 340543, HS-grad, 9, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+39, Private, 70240, Some-college, 10, Married-civ-spouse, Sales, Wife, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K
+18, Self-emp-not-inc, 87169, HS-grad, 9, Never-married, Farming-fishing, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K
+43, Private, 253759, HS-grad, 9, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 45, United-States, <=50K
+46, Private, 194431, HS-grad, 9, Never-married, Tech-support, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+63, Private, 137843, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 7298, 0, 48, United-States, >50K
+40, ?, 170649, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 8, United-States, <=50K
+59, Private, 182460, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K
+40, Local-gov, 26929, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+23, Private, 399022, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+64, ?, 50171, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 10, United-States, <=50K
+36, Private, 218490, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K
+48, Private, 164423, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+43, Private, 124436, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K
+18, Private, 60981, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+17, Private, 70868, 11th, 7, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 16, United-States, <=50K
+36, Private, 150601, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, ?, <=50K
+53, Private, 228500, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K
+36, State-gov, 76767, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 39, United-States, <=50K
+20, Private, 218178, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 615367, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K
+34, Private, 150324, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+39, Private, 51264, 11th, 7, Divorced, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+57, Private, 197642, Some-college, 10, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+30, Private, 229895, 10th, 6, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+37, Private, 167415, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K
+51, Private, 166934, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K
+38, Private, 305597, HS-grad, 9, Never-married, Transport-moving, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 301591, HS-grad, 9, Never-married, Exec-managerial, Unmarried, White, Female, 0, 0, 35, United-States, <=50K
+47, Federal-gov, 229646, HS-grad, 9, Married-spouse-absent, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, Puerto-Rico, <=50K
+28, Self-emp-not-inc, 51461, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 206600, 10th, 6, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 24, Nicaragua, <=50K
+25, Private, 176836, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K
+50, Private, 204447, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 65, United-States, >50K
+50, Private, 33304, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+43, Private, 174051, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, <=50K
+27, Private, 38918, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 1876, 75, United-States, <=50K
+32, Private, 170017, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+44, Private, 98466, 10th, 6, Never-married, Farming-fishing, Unmarried, White, Male, 0, 0, 35, United-States, <=50K
+19, Private, 188864, HS-grad, 9, Never-married, Sales, Unmarried, Black, Female, 0, 0, 20, United-States, <=50K
+53, Self-emp-inc, 137815, Some-college, 10, Widowed, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+21, Private, 43475, HS-grad, 9, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 557236, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+68, Private, 32779, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 419, 12, United-States, <=50K
+31, Private, 161765, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 2051, 57, United-States, <=50K
+32, Private, 207668, Bachelors, 13, Never-married, Exec-managerial, Other-relative, White, Male, 0, 2444, 50, United-States, >50K
+33, Private, 171215, Masters, 14, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+49, ?, 52590, HS-grad, 9, Never-married, ?, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+24, Private, 183751, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 65, United-States, <=50K
+30, Private, 149507, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 42, United-States, <=50K
+49, Private, 98092, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+18, Private, 123714, 11th, 7, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+30, State-gov, 190385, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 37, United-States, <=50K
+51, Private, 334273, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+52, Private, 343440, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+52, Private, 208302, HS-grad, 9, Divorced, Other-service, Other-relative, White, Male, 0, 0, 30, United-States, <=50K
+23, Local-gov, 280164, HS-grad, 9, Never-married, Other-service, Own-child, Black, Male, 0, 0, 32, United-States, <=50K
+23, Self-emp-not-inc, 174714, 10th, 6, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+36, Private, 184655, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, <=50K
+19, Private, 140459, 11th, 7, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 25, United-States, <=50K
+53, Self-emp-not-inc, 108815, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K
+17, Private, 152652, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 25, United-States, <=50K
+69, Private, 269499, HS-grad, 9, Widowed, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 8, United-States, <=50K
+46, Local-gov, 33373, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+33, Private, 243674, HS-grad, 9, Separated, Tech-support, Not-in-family, White, Male, 0, 0, 46, United-States, <=50K
+40, Private, 225432, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, <=50K
+56, Private, 215839, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, ?, <=50K
+29, Local-gov, 195520, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+41, Private, 70092, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 38, United-States, <=50K
+22, Private, 189888, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K
+28, Private, 64307, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 94235, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 46, United-States, <=50K
+35, Private, 62333, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+38, Private, 260997, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+17, Private, 146268, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 0, 10, United-States, <=50K
+39, Private, 147258, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+27, Self-emp-not-inc, 207948, Some-college, 10, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+50, Private, 180607, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+56, Local-gov, 104996, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+80, Self-emp-not-inc, 562336, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 20, United-States, <=50K
+38, Self-emp-not-inc, 334366, Some-college, 10, Married-civ-spouse, Farming-fishing, Wife, White, Female, 0, 0, 15, United-States, <=50K
+52, State-gov, 142757, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 40, United-States, >50K
+26, Local-gov, 220656, Bachelors, 13, Never-married, Prof-specialty, Own-child, Black, Male, 0, 0, 38, England, <=50K
+43, Private, 96483, HS-grad, 9, Divorced, Other-service, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, South, <=50K
+45, Private, 51744, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 42, United-States, <=50K
+41, Self-emp-inc, 114967, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, United-States, >50K
+30, Private, 393965, Assoc-acdm, 12, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K
+24, Private, 41838, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 2407, 0, 40, United-States, <=50K
+43, Local-gov, 143046, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 20, United-States, <=50K
+44, Private, 209174, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 70, United-States, >50K
+54, Private, 183248, HS-grad, 9, Divorced, Transport-moving, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+23, Private, 102942, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 2258, 40, United-States, >50K
+33, Self-emp-not-inc, 427474, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K
+18, Private, 338632, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 16, United-States, <=50K
+38, Private, 89559, Some-college, 10, Separated, Prof-specialty, Unmarried, White, Female, 0, 0, 40, Germany, <=50K
+41, Self-emp-not-inc, 32533, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 45, United-States, <=50K
+22, ?, 255969, 12th, 8, Never-married, ?, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K
+66, Self-emp-inc, 112376, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+70, ?, 346053, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+58, Self-emp-not-inc, 147653, 10th, 6, Married-civ-spouse, Craft-repair, Wife, White, Female, 0, 1977, 35, ?, >50K
+60, Self-emp-not-inc, 44915, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 10, United-States, <=50K
+24, Local-gov, 111450, 10th, 6, Never-married, Craft-repair, Unmarried, Black, Male, 0, 0, 65, Haiti, <=50K
+61, Private, 171429, 11th, 7, Divorced, Other-service, Unmarried, White, Female, 0, 0, 36, United-States, <=50K
+35, Local-gov, 190964, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+19, Private, 109005, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+52, Private, 404453, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+38, Self-emp-not-inc, 280169, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 7298, 0, 50, United-States, >50K
+39, Self-emp-not-inc, 163204, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+33, Self-emp-not-inc, 192256, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+52, Private, 181755, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+41, Private, 183105, HS-grad, 9, Separated, Machine-op-inspct, Unmarried, White, Female, 0, 0, 44, Cuba, <=50K
+37, Private, 335168, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K
+38, Local-gov, 86643, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K
+27, Private, 180262, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+38, Private, 127865, Masters, 14, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+38, Self-emp-not-inc, 146042, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 3103, 0, 60, United-States, >50K
+49, Self-emp-not-inc, 102110, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 30, United-States, >50K
+38, Private, 152237, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, ?, >50K
+22, Private, 202745, HS-grad, 9, Never-married, Machine-op-inspct, Other-relative, White, Male, 0, 0, 55, United-States, <=50K
+40, Federal-gov, 199303, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+20, Private, 266467, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+34, Federal-gov, 345259, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 99, United-States, <=50K
+24, Private, 204935, Masters, 14, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 56, United-States, <=50K
+58, Federal-gov, 244830, Bachelors, 13, Separated, Prof-specialty, Not-in-family, White, Male, 4787, 0, 40, United-States, >50K
+24, Private, 190457, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+43, Private, 180138, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+38, Private, 166585, HS-grad, 9, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+42, Private, 29962, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 191129, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+18, Private, 378707, 10th, 6, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+37, Private, 116358, HS-grad, 9, Never-married, Craft-repair, Other-relative, Amer-Indian-Eskimo, Male, 27828, 0, 48, United-States, >50K
+48, Private, 240629, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K
+40, Private, 233320, 7th-8th, 4, Separated, Other-service, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K
+50, Self-emp-inc, 302708, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 7688, 0, 50, Japan, >50K
+57, Private, 29375, HS-grad, 9, Separated, Sales, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 35, United-States, <=50K
+36, Local-gov, 137314, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 60, United-States, >50K
+41, Private, 140886, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K
+90, Private, 226968, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+66, Private, 151793, 7th-8th, 4, Widowed, Other-service, Not-in-family, Black, Female, 0, 0, 10, United-States, <=50K
+34, Self-emp-not-inc, 56460, HS-grad, 9, Married-civ-spouse, Farming-fishing, Wife, White, Female, 0, 2179, 12, United-States, <=50K
+23, Private, 72887, HS-grad, 9, Never-married, Craft-repair, Own-child, Asian-Pac-Islander, Male, 0, 0, 1, Vietnam, <=50K
+35, Private, 261646, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 55, United-States, <=50K
+32, Private, 178615, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 2407, 0, 40, United-States, <=50K
+33, Private, 295589, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Black, Male, 0, 0, 50, United-States, >50K
+32, Self-emp-inc, 377836, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 56510, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K
+32, Self-emp-not-inc, 337696, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K
+40, Private, 183765, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+27, Self-emp-not-inc, 107846, HS-grad, 9, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+34, Local-gov, 22641, HS-grad, 9, Never-married, Protective-serv, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K
+35, Private, 204590, Assoc-voc, 11, Married-civ-spouse, Other-service, Wife, Black, Female, 0, 0, 40, United-States, >50K
+29, Private, 114801, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+41, Private, 190591, HS-grad, 9, Separated, Other-service, Unmarried, Black, Female, 0, 0, 20, United-States, <=50K
+33, State-gov, 220066, Doctorate, 16, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 48, United-States, >50K
+22, ?, 228480, HS-grad, 9, Married-civ-spouse, ?, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+52, Private, 128378, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+20, Private, 157595, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+18, Local-gov, 152171, 11th, 7, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 10, United-States, <=50K
+63, Private, 339755, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, ?, >50K
+49, Private, 240841, 7th-8th, 4, Divorced, Other-service, Unmarried, White, Female, 0, 0, 35, United-States, <=50K
+58, Private, 94345, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+23, Self-emp-not-inc, 289116, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 50, United-States, <=50K
+59, Private, 176647, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+49, Self-emp-not-inc, 79627, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+23, Local-gov, 210781, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+17, ?, 161981, 10th, 6, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 493443, 11th, 7, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 86459, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 50, United-States, >50K
+64, Private, 312242, Some-college, 10, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 3, United-States, <=50K
+34, Private, 185408, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+63, Private, 101077, Assoc-acdm, 12, Married-spouse-absent, Adm-clerical, Other-relative, White, Female, 0, 0, 35, United-States, <=50K
+51, Private, 147200, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+40, State-gov, 166327, Some-college, 10, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 0, 35, United-States, <=50K
+55, Private, 178644, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K
+35, Private, 126675, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 46, ?, <=50K
+30, Private, 158420, Bachelors, 13, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K
+47, ?, 83046, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 18, United-States, <=50K
+29, Private, 46609, 10th, 6, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, ?, <=50K
+17, ?, 170320, 11th, 7, Never-married, ?, Own-child, White, Female, 0, 0, 8, United-States, <=50K
+32, Self-emp-not-inc, 37232, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 45, United-States, >50K
+55, Private, 141877, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+47, Local-gov, 81654, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 56, United-States, >50K
+50, Private, 177705, Bachelors, 13, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+42, Private, 124792, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 7688, 0, 45, United-States, >50K
+32, Self-emp-not-inc, 129497, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, >50K
+60, Private, 114413, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 30, United-States, <=50K
+53, Private, 189511, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+58, Private, 111625, Bachelors, 13, Widowed, Exec-managerial, Unmarried, White, Male, 8614, 0, 40, United-States, >50K
+45, Private, 246431, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+31, Private, 147654, HS-grad, 9, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+32, Self-emp-not-inc, 443546, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 281751, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 30, United-States, <=50K
+28, Private, 263128, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K
+26, Private, 292692, 12th, 8, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K
+47, Self-emp-inc, 96798, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 80, United-States, >50K
+34, Private, 430554, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+42, Private, 317078, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+48, Private, 108557, Bachelors, 13, Married-civ-spouse, Tech-support, Wife, White, Female, 99999, 0, 40, United-States, >50K
+32, Private, 207400, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+35, Private, 187089, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 42, United-States, >50K
+46, Local-gov, 398986, Doctorate, 16, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1902, 52, United-States, >50K
+38, Private, 238980, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+49, ?, 407495, HS-grad, 9, Married-spouse-absent, ?, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K
+35, Private, 183800, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+61, ?, 226989, HS-grad, 9, Divorced, ?, Not-in-family, White, Male, 4865, 0, 40, United-States, <=50K
+45, Private, 287190, Assoc-acdm, 12, Divorced, Adm-clerical, Unmarried, Black, Male, 0, 0, 35, United-States, <=50K
+31, Private, 111363, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+52, Self-emp-inc, 260938, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K
+20, Private, 183594, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 50, United-States, <=50K
+64, ?, 49194, 11th, 7, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 30, United-States, <=50K
+20, ?, 117618, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 172496, Masters, 14, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+29, Private, 389713, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+23, Private, 174413, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+34, State-gov, 189843, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+54, Private, 198546, Masters, 14, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 38, United-States, <=50K
+21, Private, 82497, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+23, Private, 193090, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+79, Private, 172220, 7th-8th, 4, Widowed, Priv-house-serv, Not-in-family, White, Female, 2964, 0, 30, United-States, <=50K
+55, Private, 208451, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+42, ?, 234277, HS-grad, 9, Married-spouse-absent, ?, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+60, Private, 163729, HS-grad, 9, Divorced, Tech-support, Unmarried, White, Female, 2597, 0, 40, United-States, <=50K
+37, Private, 434097, Assoc-acdm, 12, Divorced, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+47, Private, 192053, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 1590, 40, United-States, <=50K
+20, State-gov, 178628, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+53, Private, 96827, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, Canada, <=50K
+34, Private, 154667, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, United-States, <=50K
+43, Private, 160246, Some-college, 10, Divorced, Prof-specialty, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+24, Self-emp-not-inc, 166036, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K
+23, Private, 186813, HS-grad, 9, Never-married, Protective-serv, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K
+29, Private, 162312, Assoc-voc, 11, Never-married, Machine-op-inspct, Not-in-family, Other, Male, 0, 0, 40, United-States, <=50K
+58, Private, 183893, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+55, ?, 270228, Assoc-acdm, 12, Married-civ-spouse, ?, Husband, Black, Male, 7688, 0, 40, United-States, >50K
+40, Private, 111829, Masters, 14, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+43, Federal-gov, 175669, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K
+25, State-gov, 104097, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+23, Local-gov, 117618, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 24, United-States, <=50K
+34, Self-emp-inc, 202450, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+26, Private, 109570, Some-college, 10, Separated, Sales, Unmarried, White, Female, 0, 0, 35, United-States, <=50K
+60, Private, 101096, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 65, United-States, >50K
+39, Private, 236391, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K
+21, Private, 136975, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+45, Private, 167523, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 2179, 45, United-States, <=50K
+33, Private, 240979, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 248612, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 70, United-States, >50K
+39, Private, 151023, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 114, 0, 45, United-States, <=50K
+29, Private, 236436, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, White, Female, 8614, 0, 40, United-States, >50K
+29, ?, 153167, Some-college, 10, Never-married, ?, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+52, Private, 61735, 11th, 7, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 243165, Bachelors, 13, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 30, United-States, >50K
+24, Private, 388885, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K
+77, Self-emp-inc, 84979, Doctorate, 16, Married-civ-spouse, Farming-fishing, Husband, White, Male, 20051, 0, 40, United-States, >50K
+34, Self-emp-not-inc, 87209, Masters, 14, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K
+53, Self-emp-not-inc, 168539, 9th, 5, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 70, United-States, <=50K
+31, Private, 179013, HS-grad, 9, Separated, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+58, Private, 196643, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K
+50, Self-emp-not-inc, 68898, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 55, United-States, >50K
+32, Private, 156464, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+57, Private, 35884, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+32, Private, 182714, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+77, Private, 344425, 9th, 5, Married-civ-spouse, Priv-house-serv, Wife, Black, Female, 0, 0, 10, United-States, <=50K
+37, Self-emp-not-inc, 177277, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+51, Private, 70767, HS-grad, 9, Married-civ-spouse, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+33, Self-emp-not-inc, 520078, Assoc-acdm, 12, Divorced, Sales, Unmarried, Black, Male, 0, 0, 60, United-States, <=50K
+53, Local-gov, 321770, HS-grad, 9, Married-spouse-absent, Transport-moving, Other-relative, White, Female, 0, 0, 35, United-States, <=50K
+32, Private, 158416, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+30, Private, 312667, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+19, Private, 208656, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 594, 0, 20, United-States, <=50K
+33, Private, 31481, Bachelors, 13, Married-spouse-absent, Other-service, Unmarried, White, Female, 0, 0, 24, United-States, <=50K
+31, Private, 259531, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+28, Private, 186239, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+19, Private, 162954, 12th, 8, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+27, Private, 249315, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K
+21, Private, 308237, 5th-6th, 3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+24, Private, 103064, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+46, Private, 185847, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 54, United-States, <=50K
+31, Private, 168521, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+60, Private, 198170, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K
+21, Private, 353628, 10th, 6, Separated, Sales, Unmarried, Black, Female, 0, 0, 38, United-States, <=50K
+38, ?, 273285, 11th, 7, Never-married, ?, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K
+31, Private, 272069, Assoc-voc, 11, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 22328, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+46, Private, 309212, HS-grad, 9, Divorced, Priv-house-serv, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K
+25, Self-emp-inc, 148888, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K
+23, Local-gov, 324637, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+53, Self-emp-inc, 55139, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+42, ?, 212206, Masters, 14, Married-civ-spouse, ?, Wife, White, Female, 0, 1887, 48, United-States, >50K
+29, Private, 119004, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 2179, 40, United-States, <=50K
+45, Private, 252079, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+70, Private, 315868, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+55, Self-emp-inc, 392325, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 99999, 0, 60, United-States, >50K
+40, State-gov, 174283, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1887, 50, United-States, >50K
+17, Private, 126832, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+18, Private, 126071, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 265706, Masters, 14, Never-married, Sales, Unmarried, White, Male, 0, 0, 60, United-States, >50K
+41, Private, 282964, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+28, Private, 328518, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+23, State-gov, 283499, HS-grad, 9, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 286675, Some-college, 10, Never-married, Exec-managerial, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+56, Private, 136472, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 48, United-States, <=50K
+36, Private, 132879, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 45, United-States, <=50K
+26, Private, 314798, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+62, Private, 143943, Bachelors, 13, Widowed, Tech-support, Unmarried, White, Female, 0, 0, 7, United-States, <=50K
+35, Private, 134367, Assoc-acdm, 12, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+25, Local-gov, 366796, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+28, Private, 195573, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K
+21, Private, 33616, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+31, Private, 164190, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 380281, Assoc-acdm, 12, Never-married, Other-service, Own-child, White, Male, 0, 0, 25, Columbia, <=50K
+58, Self-emp-inc, 190763, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+55, Local-gov, 209535, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+54, Private, 156003, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 55699, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 3908, 0, 40, United-States, <=50K
+28, Private, 183151, 11th, 7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 7688, 0, 40, United-States, >50K
+40, Private, 198790, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 30, United-States, <=50K
+33, Self-emp-not-inc, 272359, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 7298, 0, 80, United-States, >50K
+27, Private, 236481, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 10, India, <=50K
+55, Private, 143266, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Male, 0, 0, 25, United-States, <=50K
+53, Private, 192386, HS-grad, 9, Separated, Transport-moving, Unmarried, White, Male, 0, 0, 45, United-States, <=50K
+23, Private, 99543, 12th, 8, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 46, United-States, <=50K
+66, Private, 169435, HS-grad, 9, Widowed, Craft-repair, Not-in-family, White, Male, 0, 0, 16, United-States, <=50K
+34, Self-emp-not-inc, 34572, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K
+39, Private, 119272, 10th, 6, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 211601, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+26, Private, 154785, Some-college, 10, Married-spouse-absent, Adm-clerical, Own-child, Other, Female, 0, 0, 35, United-States, <=50K
+21, Private, 213041, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, Cuba, <=50K
+59, Private, 229939, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+61, Private, 175331, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 226443, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+22, Private, 46561, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+47, Private, 161311, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 30, United-States, <=50K
+50, Private, 98215, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+67, Private, 118363, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 2206, 5, United-States, <=50K
+59, Local-gov, 181242, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 356238, Assoc-acdm, 12, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 80, United-States, >50K
+56, Self-emp-not-inc, 39380, Some-college, 10, Married-spouse-absent, Farming-fishing, Not-in-family, White, Female, 27828, 0, 20, United-States, >50K
+28, Private, 315287, HS-grad, 9, Never-married, Adm-clerical, Other-relative, Black, Male, 0, 0, 40, ?, <=50K
+34, Private, 269723, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 2977, 0, 50, United-States, <=50K
+63, Private, 34098, 10th, 6, Widowed, Farming-fishing, Unmarried, White, Female, 0, 0, 56, United-States, <=50K
+48, Private, 50880, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Germany, <=50K
+41, Federal-gov, 356934, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 44, United-States, >50K
+26, Private, 276309, Some-college, 10, Never-married, Handlers-cleaners, Own-child, Black, Female, 0, 0, 20, United-States, <=50K
+47, Private, 175925, 10th, 6, Married-civ-spouse, Sales, Husband, White, Male, 0, 2179, 52, United-States, <=50K
+29, Self-emp-not-inc, 164607, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K
+30, Private, 224462, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+19, Private, 92863, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+27, Private, 179565, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 37, United-States, <=50K
+59, Self-emp-not-inc, 31137, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 70, United-States, <=50K
+19, Private, 199495, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+45, Private, 175262, 9th, 5, Married-civ-spouse, Handlers-cleaners, Husband, Asian-Pac-Islander, Male, 0, 0, 40, India, <=50K
+37, Private, 220585, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+44, Local-gov, 231793, Doctorate, 16, Married-spouse-absent, Prof-specialty, Unmarried, White, Female, 0, 0, 38, United-States, <=50K
+34, Federal-gov, 191342, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 38, United-States, <=50K
+30, Private, 186420, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+30, Private, 328242, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Hong, >50K
+56, Private, 279340, 11th, 7, Separated, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+19, Private, 174478, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+37, Private, 151771, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+45, Private, 145636, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 43, United-States, >50K
+21, Private, 120326, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+34, Self-emp-not-inc, 246439, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 45, United-States, <=50K
+27, Private, 144133, Bachelors, 13, Married-civ-spouse, Exec-managerial, Other-relative, White, Male, 0, 0, 50, United-States, <=50K
+44, Local-gov, 145522, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+33, Private, 312055, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 235847, Some-college, 10, Never-married, Exec-managerial, Other-relative, White, Female, 0, 0, 50, United-States, <=50K
+37, Private, 187748, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 396482, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K
+49, Private, 261688, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 5013, 0, 60, United-States, <=50K
+20, Private, 39477, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+37, Private, 143058, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 216867, 5th-6th, 3, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, Mexico, <=50K
+44, Private, 230592, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+30, Local-gov, 40338, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+55, Local-gov, 115457, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 374983, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 285419, 12th, 8, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+19, ?, 385901, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 22, United-States, <=50K
+45, State-gov, 187581, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K
+38, Self-emp-inc, 299036, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K
+42, Private, 68729, Some-college, 10, Never-married, Craft-repair, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K
+27, Private, 333990, Assoc-voc, 11, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+20, Private, 117767, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 25, United-States, <=50K
+43, Private, 184378, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, <=50K
+21, Private, 232591, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 143851, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+36, Self-emp-not-inc, 89622, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 80, United-States, >50K
+34, Private, 202498, 12th, 8, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Dominican-Republic, <=50K
+72, Private, 268861, 7th-8th, 4, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 99, ?, <=50K
+54, Private, 343242, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 44, United-States, >50K
+30, Private, 460408, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+63, Private, 205246, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+36, Private, 230329, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+25, Private, 197871, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+72, ?, 201375, Assoc-acdm, 12, Widowed, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+55, Private, 194290, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+44, Private, 191814, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K
+41, Private, 95168, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+20, ?, 137876, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+47, Private, 386136, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+71, ?, 108390, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 3432, 0, 20, United-States, <=50K
+41, Private, 152529, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+35, Private, 214891, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Other, Male, 0, 0, 40, Dominican-Republic, <=50K
+18, Private, 133654, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+23, Private, 147548, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 30, United-States, <=50K
+57, Private, 73051, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+56, Self-emp-not-inc, 60166, 1st-4th, 2, Never-married, Exec-managerial, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 65, United-States, <=50K
+25, Self-emp-inc, 454934, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+64, ?, 338355, Assoc-voc, 11, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 15, United-States, <=50K
+35, Self-emp-not-inc, 185621, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+61, Private, 101500, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+36, State-gov, 36397, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K
+18, Private, 276540, 12th, 8, Never-married, Sales, Own-child, Black, Female, 0, 0, 15, United-States, <=50K
+21, Private, 293968, Some-college, 10, Married-spouse-absent, Sales, Own-child, Black, Female, 0, 0, 20, United-States, <=50K
+43, ?, 35523, Assoc-acdm, 12, Divorced, ?, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+32, Local-gov, 186993, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+52, Private, 232132, 12th, 8, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, >50K
+48, Private, 176917, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K
+40, Private, 105936, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+35, Private, 105821, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 5178, 0, 40, United-States, >50K
+22, ?, 34506, Some-college, 10, Separated, ?, Unmarried, White, Female, 0, 0, 25, United-States, <=50K
+42, Private, 178074, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+60, ?, 116961, 7th-8th, 4, Widowed, ?, Unmarried, White, Female, 0, 0, 20, United-States, <=50K
+34, Private, 191930, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+27, Private, 130807, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K
+47, Self-emp-not-inc, 94100, Bachelors, 13, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K
+65, Self-emp-not-inc, 144822, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+61, Self-emp-inc, 102191, Masters, 14, Widowed, Exec-managerial, Unmarried, White, Female, 0, 0, 99, United-States, <=50K
+18, Private, 90934, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 28, United-States, <=50K
+49, ?, 296892, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, Puerto-Rico, <=50K
+48, Private, 173243, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K
+26, Private, 258768, Some-college, 10, Never-married, Transport-moving, Not-in-family, Black, Male, 2174, 0, 75, United-States, <=50K
+30, Private, 189759, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+68, Self-emp-not-inc, 69249, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, >50K
+23, Private, 133061, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 80, United-States, <=50K
+65, Self-emp-not-inc, 175202, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 24, United-States, <=50K
+32, Private, 27051, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 44, United-States, <=50K
+44, Private, 60414, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+48, Local-gov, 317360, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K
+24, Private, 258298, Assoc-voc, 11, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+58, Private, 174040, Some-college, 10, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+32, Local-gov, 177566, Some-college, 10, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, Germany, <=50K
+54, Private, 162238, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, >50K
+35, Private, 87556, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, >50K
+35, Private, 144322, Assoc-acdm, 12, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+24, Private, 190015, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+50, Private, 183173, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 40, United-States, >50K
+38, Self-emp-not-inc, 151322, HS-grad, 9, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+57, Local-gov, 47392, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+38, Private, 107125, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+49, Private, 265295, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 189219, Bachelors, 13, Never-married, Tech-support, Own-child, White, Female, 0, 0, 16, United-States, <=50K
+56, Private, 147989, Some-college, 10, Married-spouse-absent, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 185732, 11th, 7, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+22, Private, 153516, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+23, ?, 191910, Some-college, 10, Never-married, ?, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 216145, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+42, Private, 202872, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 12, United-States, <=50K
+62, Self-emp-not-inc, 39630, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 48, United-States, <=50K
+24, ?, 114292, 9th, 5, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+26, Local-gov, 206721, Bachelors, 13, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+46, Private, 358585, Some-college, 10, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, >50K
+33, Private, 377283, Bachelors, 13, Separated, Sales, Not-in-family, White, Female, 0, 0, 50, United-States, >50K
+65, ?, 76043, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 1, United-States, >50K
+65, Without-pay, 172949, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 2414, 0, 20, United-States, <=50K
+46, Private, 110171, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 40, United-States, >50K
+43, Local-gov, 223861, Assoc-voc, 11, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+43, Private, 163455, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+35, Private, 183892, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+48, Private, 47022, HS-grad, 9, Widowed, Handlers-cleaners, Other-relative, White, Female, 0, 0, 48, United-States, <=50K
+55, Federal-gov, 145401, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+45, Private, 387074, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+56, Private, 105363, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 4508, 0, 40, United-States, <=50K
+59, Federal-gov, 195467, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+56, Local-gov, 170217, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 156807, HS-grad, 9, Never-married, Other-service, Own-child, Black, Male, 0, 0, 10, United-States, <=50K
+26, Private, 255193, 11th, 7, Married-civ-spouse, Exec-managerial, Husband, White, Male, 3411, 0, 40, United-States, <=50K
+38, Private, 273640, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+27, Private, 191177, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+48, Self-emp-inc, 184787, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K
+37, State-gov, 239409, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K
+63, Self-emp-not-inc, 404547, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 30, United-States, <=50K
+27, State-gov, 23740, HS-grad, 9, Never-married, Transport-moving, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 38, United-States, >50K
+20, Private, 382153, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 25, United-States, <=50K
+26, Private, 164488, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1887, 40, United-States, >50K
+21, ?, 228424, 10th, 6, Never-married, ?, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+51, Self-emp-not-inc, 168539, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 189530, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+39, Private, 89419, Assoc-voc, 11, Divorced, Other-service, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 40, Columbia, <=50K
+35, Private, 224512, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K
+21, ?, 314645, Some-college, 10, Never-married, ?, Not-in-family, White, Female, 0, 0, 43, United-States, <=50K
+65, Private, 85787, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+54, Local-gov, 279881, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+39, Private, 194287, 7th-8th, 4, Never-married, Other-service, Own-child, White, Male, 0, 1602, 35, United-States, <=50K
+24, Private, 141040, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+36, Private, 222294, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K
+70, ?, 410980, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 10, United-States, >50K
+52, Private, 38795, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+64, Private, 182979, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+43, Private, 223277, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+44, Private, 67065, Assoc-voc, 11, Never-married, Priv-house-serv, Not-in-family, White, Male, 594, 0, 25, United-States, <=50K
+47, Federal-gov, 160647, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+32, Private, 45796, 12th, 8, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 110597, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+33, Private, 166961, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K
+52, Private, 318975, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, Cuba, <=50K
+49, Private, 305657, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 120857, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 18, United-States, <=50K
+62, Self-emp-not-inc, 158712, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 6, United-States, <=50K
+44, Private, 304530, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K
+28, Local-gov, 327533, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 3908, 0, 40, United-States, <=50K
+68, Local-gov, 233954, Masters, 14, Widowed, Prof-specialty, Unmarried, Black, Female, 0, 0, 40, United-States, >50K
+40, Federal-gov, 26880, Some-college, 10, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+46, Private, 70754, 7th-8th, 4, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+22, Private, 184665, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+37, Self-emp-not-inc, 245372, Bachelors, 13, Divorced, Tech-support, Not-in-family, White, Male, 0, 0, 15, United-States, <=50K
+62, Private, 252668, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K
+37, Private, 86551, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+35, Private, 241998, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 4787, 0, 40, United-States, >50K
+44, Private, 106900, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 68, United-States, <=50K
+41, Private, 204235, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+36, Local-gov, 127772, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 117217, Bachelors, 13, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+48, Federal-gov, 215389, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, >50K
+21, Private, 198050, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 28, United-States, <=50K
+39, Private, 173476, Prof-school, 15, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 40, United-States, >50K
+38, Private, 217349, Assoc-voc, 11, Divorced, Prof-specialty, Not-in-family, White, Female, 14344, 0, 40, United-States, >50K
+44, Private, 377018, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+56, Private, 99894, 10th, 6, Married-civ-spouse, Sales, Wife, Asian-Pac-Islander, Female, 0, 0, 30, Japan, >50K
+25, Private, 170786, 9th, 5, Never-married, Transport-moving, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+32, Local-gov, 250585, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+47, Private, 198769, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, >50K
+26, Private, 306513, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 178623, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Black, Female, 14084, 0, 60, United-States, >50K
+23, Private, 109307, Assoc-voc, 11, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+41, Federal-gov, 106982, Some-college, 10, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, >50K
+55, Self-emp-not-inc, 396878, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 25, United-States, <=50K
+23, Private, 344278, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 25, United-States, <=50K
+45, Private, 203653, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 7298, 0, 40, United-States, >50K
+42, Local-gov, 227890, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1485, 40, United-States, <=50K
+29, Private, 107812, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 15, United-States, <=50K
+48, Private, 185143, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 143068, Some-college, 10, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+52, Self-emp-inc, 114758, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 50, United-States, >50K
+46, Private, 266337, Assoc-voc, 11, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 321787, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+27, State-gov, 21306, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, Germany, <=50K
+18, Private, 271935, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+18, Private, 148952, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 24, United-States, <=50K
+42, Private, 196626, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+64, ?, 108082, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 199439, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+20, ?, 304076, 11th, 7, Never-married, ?, Own-child, Black, Female, 0, 0, 20, United-States, <=50K
+52, Self-emp-inc, 81436, Prof-school, 15, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+44, Self-emp-inc, 352971, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+53, Private, 375134, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K
+36, Private, 206521, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K
+27, Private, 330466, Bachelors, 13, Never-married, Tech-support, Other-relative, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K
+52, Private, 208302, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 60, United-States, <=50K
+60, Self-emp-not-inc, 135285, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+41, Private, 171615, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 45, United-States, >50K
+64, Self-emp-not-inc, 149698, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+25, Private, 71351, 1st-4th, 2, Never-married, Other-service, Other-relative, White, Male, 0, 0, 25, El-Salvador, <=50K
+63, Private, 84737, 7th-8th, 4, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 40, South, <=50K
+54, Local-gov, 375134, Assoc-voc, 11, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 207103, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 199314, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, Poland, <=50K
+63, Self-emp-not-inc, 289741, Masters, 14, Married-civ-spouse, Farming-fishing, Husband, White, Male, 41310, 0, 50, United-States, <=50K
+37, Private, 240837, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+22, Private, 283499, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+54, Private, 97778, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+54, Private, 21698, 10th, 6, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+60, Local-gov, 232618, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+19, Private, 175820, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 25, United-States, <=50K
+25, Local-gov, 63996, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+51, Local-gov, 182985, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K
+47, Federal-gov, 380127, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+44, Self-emp-not-inc, 111483, 10th, 6, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 50, United-States, <=50K
+18, ?, 31008, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+57, Private, 96346, HS-grad, 9, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 57, United-States, <=50K
+22, Private, 317528, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 34, United-States, <=50K
+36, State-gov, 223020, Some-college, 10, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 20, United-States, <=50K
+33, ?, 173998, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 0, 1485, 38, United-States, <=50K
+39, Private, 115076, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+49, Private, 133969, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Other, Male, 0, 0, 50, United-States, >50K
+41, Private, 173858, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 40, China, <=50K
+35, Private, 193241, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 38, United-States, <=50K
+40, Self-emp-inc, 50644, Assoc-acdm, 12, Divorced, Sales, Unmarried, White, Female, 1506, 0, 40, United-States, <=50K
+30, Private, 178841, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+25, Private, 177017, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 1504, 37, United-States, <=50K
+25, Private, 253267, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 1902, 36, United-States, >50K
+37, Private, 202027, Masters, 14, Married-civ-spouse, Adm-clerical, Husband, White, Male, 7688, 0, 50, United-States, >50K
+53, Self-emp-not-inc, 321865, Prof-school, 15, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 60, United-States, >50K
+34, Self-emp-not-inc, 321709, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K
+22, Private, 166371, HS-grad, 9, Never-married, Other-service, Other-relative, White, Male, 0, 0, 40, ?, <=50K
+18, Private, 210574, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+52, ?, 92968, Masters, 14, Married-civ-spouse, ?, Wife, White, Female, 15024, 0, 40, United-States, >50K
+45, Private, 474617, HS-grad, 9, Divorced, Sales, Unmarried, Black, Male, 5455, 0, 40, United-States, <=50K
+19, Private, 264390, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 2001, 40, United-States, <=50K
+33, Self-emp-inc, 144949, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 65, United-States, <=50K
+45, State-gov, 90803, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+43, State-gov, 126701, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 35, United-States, >50K
+40, Private, 178417, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K
+41, Self-emp-not-inc, 197176, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 75, United-States, >50K
+25, Private, 182227, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1579, 40, United-States, <=50K
+22, Private, 117606, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 32, United-States, <=50K
+52, Private, 349502, Some-college, 10, Never-married, Adm-clerical, Unmarried, White, Male, 0, 0, 45, United-States, <=50K
+45, Federal-gov, 81487, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, Puerto-Rico, >50K
+32, State-gov, 169583, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 70, United-States, <=50K
+26, Private, 485117, Bachelors, 13, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+24, Private, 35603, Some-college, 10, Divorced, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+37, Private, 175390, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+49, Private, 184986, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+43, Local-gov, 174395, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K
+35, Private, 187711, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 189878, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+17, Private, 224073, 11th, 7, Never-married, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+48, Private, 159726, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 55, United-States, >50K
+40, ?, 65545, Masters, 14, Divorced, ?, Own-child, White, Female, 0, 0, 55, United-States, <=50K
+26, Private, 456618, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 2597, 0, 40, United-States, <=50K
+35, Private, 202397, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, >50K
+21, Private, 206681, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+54, Private, 222020, 10th, 6, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K
+40, Private, 137304, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+51, Private, 141645, Some-college, 10, Separated, Exec-managerial, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+60, Self-emp-not-inc, 218085, HS-grad, 9, Married-civ-spouse, Other-service, Wife, Black, Female, 0, 0, 50, United-States, <=50K
+22, Private, 52596, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 8, United-States, <=50K
+20, Private, 197997, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 191444, 11th, 7, Never-married, Farming-fishing, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 40767, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+43, Private, 172577, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 44, United-States, <=50K
+36, Private, 241998, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K
+65, State-gov, 215908, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 2174, 40, United-States, >50K
+48, Private, 212120, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K
+37, Private, 109133, Masters, 14, Separated, Exec-managerial, Not-in-family, White, Male, 27828, 0, 60, Iran, >50K
+20, Private, 224424, 12th, 8, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+41, State-gov, 214985, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+55, Self-emp-not-inc, 147098, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+39, Local-gov, 149833, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+41, Federal-gov, 253770, Some-college, 10, Married-civ-spouse, Transport-moving, Wife, White, Female, 7298, 0, 40, United-States, >50K
+80, Private, 252466, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 24, United-States, <=50K
+59, State-gov, 132717, 10th, 6, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K
+52, Private, 138944, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+39, Private, 280570, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 3103, 0, 50, United-States, >50K
+56, Self-emp-not-inc, 144380, Some-college, 10, Married-spouse-absent, Prof-specialty, Not-in-family, Black, Male, 0, 0, 50, United-States, <=50K
+69, Local-gov, 660461, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, Black, Female, 0, 0, 20, United-States, <=50K
+49, Private, 177211, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+33, Private, 197424, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 5013, 0, 40, United-States, <=50K
+28, Self-emp-inc, 31717, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+49, Private, 296849, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+51, Local-gov, 193720, HS-grad, 9, Married-spouse-absent, Handlers-cleaners, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+42, Private, 106698, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 32, United-States, <=50K
+66, Private, 214469, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 13, United-States, <=50K
+44, Private, 185798, Assoc-voc, 11, Separated, Craft-repair, Other-relative, White, Male, 0, 0, 48, United-States, >50K
+26, Private, 333108, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+43, Private, 35210, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+28, Private, 140845, 10th, 6, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 155, 40, United-States, <=50K
+25, ?, 335376, Bachelors, 13, Never-married, ?, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+17, Private, 170455, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 8, United-States, <=50K
+52, Private, 298215, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K
+34, ?, 93834, HS-grad, 9, Separated, ?, Own-child, White, Female, 0, 0, 8, United-States, <=50K
+24, Private, 404416, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+41, ?, 206916, Bachelors, 13, Married-spouse-absent, ?, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+65, Private, 143175, Some-college, 10, Widowed, Sales, Other-relative, White, Female, 0, 0, 45, United-States, <=50K
+36, Self-emp-not-inc, 409189, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+19, Private, 285750, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 30, United-States, <=50K
+43, Private, 235556, Some-college, 10, Married-spouse-absent, Sales, Not-in-family, White, Male, 0, 0, 45, Mexico, <=50K
+39, Local-gov, 170382, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 50, England, >50K
+48, Private, 195437, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K
+50, Local-gov, 191130, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K
+21, Private, 231160, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 25, United-States, <=50K
+36, Private, 47310, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+33, Private, 214635, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 36, Haiti, <=50K
+50, Federal-gov, 65160, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+49, State-gov, 423222, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 99999, 0, 80, United-States, >50K
+34, Private, 263307, Bachelors, 13, Never-married, Sales, Unmarried, Black, Male, 0, 0, 45, ?, <=50K
+70, Self-emp-inc, 272896, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+39, Private, 232854, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+44, Private, 442035, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+32, Private, 127875, Bachelors, 13, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 40, United-States, >50K
+40, Private, 283724, 9th, 5, Never-married, Craft-repair, Other-relative, Black, Male, 0, 0, 49, United-States, <=50K
+46, Private, 403911, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 1902, 40, United-States, >50K
+21, ?, 228649, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+40, Private, 177027, Bachelors, 13, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female, 7688, 0, 52, Japan, >50K
+47, Private, 249935, 11th, 7, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 8, United-States, <=50K
+19, Private, 533147, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+22, Private, 137862, Some-college, 10, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 16, United-States, <=50K
+20, Private, 249543, Some-college, 10, Never-married, Protective-serv, Own-child, White, Female, 0, 0, 16, United-States, <=50K
+46, Local-gov, 230979, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 4787, 0, 25, United-States, >50K
+41, Private, 137126, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 45, United-States, >50K
+17, Private, 147339, 10th, 6, Never-married, Prof-specialty, Own-child, Other, Female, 0, 0, 15, United-States, <=50K
+41, Private, 256647, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+28, Private, 111696, HS-grad, 9, Separated, Craft-repair, Not-in-family, White, Male, 0, 1974, 40, United-States, <=50K
+20, ?, 150084, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 25, United-States, <=50K
+24, Private, 285457, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 303867, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K
+44, Federal-gov, 113597, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K
+26, Self-emp-not-inc, 151626, HS-grad, 9, Never-married, Prof-specialty, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+47, Self-emp-not-inc, 26145, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+24, Private, 176189, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+58, Federal-gov, 497253, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, United-States, >50K
+41, Private, 41090, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 2002, 60, United-States, <=50K
+38, Self-emp-not-inc, 282461, 7th-8th, 4, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 35, United-States, >50K
+21, Private, 225541, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+33, Private, 203488, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 45, United-States, <=50K
+23, ?, 296613, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 32, United-States, <=50K
+40, Private, 99373, 10th, 6, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+47, Local-gov, 109705, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+41, Private, 144947, Bachelors, 13, Divorced, Exec-managerial, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+38, Private, 617898, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K
+50, Private, 38310, 7th-8th, 4, Divorced, Other-service, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+45, Private, 248993, HS-grad, 9, Married-spouse-absent, Farming-fishing, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K
+65, ?, 149131, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, Italy, >50K
+33, Private, 69311, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+34, Federal-gov, 143766, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+65, Private, 213477, Masters, 14, Divorced, Sales, Not-in-family, White, Male, 0, 0, 28, United-States, <=50K
+24, Private, 275691, 11th, 7, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 39, United-States, <=50K
+26, Private, 59367, Bachelors, 13, Never-married, Machine-op-inspct, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+55, Private, 35551, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+66, Private, 236784, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 8, Cuba, <=50K
+43, Local-gov, 193755, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 315291, Bachelors, 13, Never-married, Adm-clerical, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K
+22, Private, 290504, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 256240, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+69, ?, 199591, Prof-school, 15, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 25, ?, <=50K
+27, Private, 178709, Masters, 14, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+48, Private, 449354, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 4386, 0, 45, United-States, >50K
+24, Private, 187937, Bachelors, 13, Never-married, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+18, Never-worked, 157131, 11th, 7, Never-married, ?, Own-child, White, Female, 0, 0, 10, United-States, <=50K
+53, Local-gov, 188772, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+26, Private, 157617, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Poland, <=50K
+60, Private, 96099, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+21, Private, 122322, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 60, United-States, <=50K
+39, Private, 409189, 5th-6th, 3, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+45, Private, 175925, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K
+76, Self-emp-not-inc, 236878, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 30, United-States, <=50K
+19, Private, 216647, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+34, Private, 300681, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 40, Jamaica, >50K
+54, Private, 327769, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 194723, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+44, Local-gov, 31251, 7th-8th, 4, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 212506, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+23, Private, 23037, 12th, 8, Never-married, Handlers-cleaners, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K
+37, Self-emp-not-inc, 29054, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K
+41, Private, 92733, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+21, State-gov, 184678, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+37, Federal-gov, 32528, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, England, >50K
+63, Private, 125954, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 2174, 0, 40, United-States, <=50K
+35, Private, 73715, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+47, Private, 209212, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 56, ?, <=50K
+41, Private, 287037, Some-college, 10, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+50, Self-emp-not-inc, 64667, HS-grad, 9, Divorced, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 60, Vietnam, <=50K
+26, Self-emp-inc, 366662, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 50, United-States, <=50K
+36, Local-gov, 113337, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 42, United-States, >50K
+47, Private, 387468, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, Scotland, >50K
+51, Private, 384248, Some-college, 10, Divorced, Exec-managerial, Unmarried, Black, Female, 0, 0, 50, United-States, <=50K
+41, Private, 332703, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, Other, Female, 0, 625, 40, United-States, <=50K
+40, Private, 198873, Prof-school, 15, Married-civ-spouse, Prof-specialty, Wife, White, Female, 15024, 0, 30, United-States, >50K
+32, Private, 317809, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 4064, 0, 50, United-States, <=50K
+37, Local-gov, 160910, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 7298, 0, 40, United-States, >50K
+40, Self-emp-inc, 182629, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+56, Private, 267652, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+50, Private, 410186, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 365411, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 42, United-States, <=50K
+28, Private, 205337, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+19, Self-emp-not-inc, 100999, 11th, 7, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+44, Private, 197462, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+42, Self-emp-not-inc, 199143, Prof-school, 15, Divorced, Prof-specialty, Unmarried, White, Female, 7430, 0, 44, United-States, >50K
+47, Private, 191978, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+31, Private, 50178, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+61, Private, 72442, 11th, 7, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, >50K
+21, Private, 248512, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+26, Private, 178140, Bachelors, 13, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 45, United-States, >50K
+58, Private, 354024, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K
+35, Private, 143589, Bachelors, 13, Married-spouse-absent, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K
+35, Private, 219902, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+29, Local-gov, 419722, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Male, 3674, 0, 40, United-States, <=50K
+40, Private, 154374, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 40, United-States, >50K
+33, Private, 132601, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K
+38, Self-emp-not-inc, 29430, Some-college, 10, Divorced, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+50, Self-emp-not-inc, 30731, Assoc-voc, 11, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+66, Private, 210825, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K
+36, Local-gov, 251091, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K
+33, Private, 219034, 11th, 7, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+55, Federal-gov, 35723, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K
+46, Private, 358886, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 248708, Assoc-acdm, 12, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+41, ?, 77937, 12th, 8, Divorced, ?, Not-in-family, White, Female, 0, 0, 40, Canada, <=50K
+30, Private, 30063, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 32, United-States, <=50K
+29, Private, 253799, 12th, 8, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 42, England, <=50K
+60, ?, 41553, Some-college, 10, Widowed, ?, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+24, Private, 59146, HS-grad, 9, Separated, Sales, Unmarried, White, Female, 0, 0, 48, United-States, <=50K
+42, Self-emp-not-inc, 343609, Some-college, 10, Separated, Other-service, Unmarried, Black, Female, 0, 0, 50, United-States, <=50K
+26, Private, 216010, HS-grad, 9, Separated, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+37, Private, 164526, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 150958, 5th-6th, 3, Never-married, Farming-fishing, Unmarried, White, Male, 0, 0, 48, Guatemala, <=50K
+26, Private, 244495, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, <=50K
+23, Private, 199336, Assoc-voc, 11, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 50, United-States, <=50K
+60, Private, 151369, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K
+49, Federal-gov, 118701, HS-grad, 9, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+46, Private, 219611, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 184568, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+48, Self-emp-not-inc, 246891, Prof-school, 15, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K
+70, Self-emp-inc, 243436, 9th, 5, Divorced, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+44, Local-gov, 68318, Masters, 14, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 55, United-States, <=50K
+58, Private, 56331, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+41, Private, 190591, Assoc-acdm, 12, Divorced, Exec-managerial, Not-in-family, Black, Female, 0, 0, 40, Jamaica, <=50K
+54, Private, 140359, 7th-8th, 4, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 3900, 40, United-States, <=50K
+42, Self-emp-inc, 23510, Masters, 14, Divorced, Exec-managerial, Unmarried, Asian-Pac-Islander, Male, 0, 2201, 60, India, >50K
+28, Private, 122540, 10th, 6, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+65, Private, 212562, 11th, 7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 20, United-States, <=50K
+35, Self-emp-not-inc, 112497, HS-grad, 9, Married-civ-spouse, Craft-repair, Other-relative, White, Male, 0, 0, 35, Ireland, <=50K
+82, Private, 147729, 5th-6th, 3, Widowed, Other-service, Unmarried, White, Male, 0, 0, 20, United-States, <=50K
+48, Self-emp-not-inc, 296066, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K
+44, Private, 148138, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 15024, 0, 40, Japan, >50K
+68, Private, 50351, Masters, 14, Never-married, Adm-clerical, Not-in-family, White, Female, 6360, 0, 20, United-States, <=50K
+42, Private, 306496, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 210029, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 2001, 37, United-States, <=50K
+54, Private, 163894, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+22, Private, 113936, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+43, Self-emp-not-inc, 316820, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 84, United-States, <=50K
+17, Private, 53367, 9th, 5, Never-married, Other-service, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+46, Self-emp-not-inc, 95256, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+59, Private, 127728, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K
+37, Private, 66686, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+70, ?, 207627, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 2228, 0, 24, United-States, <=50K
+57, Self-emp-inc, 199768, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 1902, 30, United-States, >50K
+47, ?, 186805, HS-grad, 9, Married-civ-spouse, ?, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+31, Private, 154297, HS-grad, 9, Never-married, Sales, Unmarried, Black, Female, 0, 0, 24, United-States, <=50K
+23, Private, 103064, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+17, Private, 93235, 12th, 8, Never-married, Other-service, Own-child, White, Female, 0, 1721, 25, United-States, <=50K
+63, Private, 440607, Preschool, 1, Married-civ-spouse, Prof-specialty, Husband, Other, Male, 0, 0, 30, Mexico, <=50K
+44, Private, 212894, Prof-school, 15, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 55, United-States, >50K
+30, Private, 167990, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K
+23, Private, 378460, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+44, Private, 151089, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1887, 60, United-States, >50K
+24, Private, 153583, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+34, Private, 114639, Some-college, 10, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 20, United-States, <=50K
+37, Private, 344480, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 65, United-States, <=50K
+24, Private, 188300, 11th, 7, Never-married, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+32, Private, 105938, HS-grad, 9, Divorced, Machine-op-inspct, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+42, Self-emp-not-inc, 217826, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 25, Jamaica, <=50K
+20, Private, 379525, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 10, United-States, <=50K
+34, State-gov, 177331, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 4386, 0, 40, United-States, >50K
+37, Private, 127918, Some-college, 10, Never-married, Transport-moving, Unmarried, White, Female, 0, 0, 20, Puerto-Rico, <=50K
+47, Federal-gov, 27067, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+25, Private, 250038, 9th, 5, Never-married, Farming-fishing, Other-relative, White, Male, 0, 0, 45, Mexico, <=50K
+36, Self-emp-not-inc, 36270, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 1977, 65, United-States, >50K
+60, Private, 308608, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K
+64, Self-emp-inc, 213574, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 2635, 0, 10, United-States, <=50K
+32, Local-gov, 235109, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K
+33, State-gov, 374905, 10th, 6, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+71, Private, 118876, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 14, United-States, <=50K
+55, Local-gov, 223716, Some-college, 10, Divorced, Exec-managerial, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K
+85, Self-emp-not-inc, 166027, HS-grad, 9, Widowed, Sales, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+57, Self-emp-not-inc, 275943, 7th-8th, 4, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, ?, <=50K
+39, Private, 198654, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 2415, 67, India, >50K
+25, Private, 109080, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 55, United-States, <=50K
+58, Private, 104333, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+57, Private, 195876, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 390879, Assoc-voc, 11, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 36, United-States, <=50K
+19, Private, 197748, 11th, 7, Divorced, Sales, Unmarried, White, Female, 0, 0, 20, United-States, <=50K
+40, Private, 442045, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+28, Private, 44216, HS-grad, 9, Never-married, Protective-serv, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K
+43, Federal-gov, 114537, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+40, ?, 253370, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 35, United-States, >50K
+19, Private, 274830, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+24, Private, 321763, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K
+34, Private, 213226, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 65, United-States, >50K
+22, Private, 167787, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+64, Self-emp-not-inc, 352712, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 55, United-States, <=50K
+55, ?, 316027, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, ?, <=50K
+26, Private, 213412, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+80, Private, 202483, HS-grad, 9, Married-spouse-absent, Adm-clerical, Not-in-family, White, Female, 0, 0, 16, United-States, <=50K
+79, Local-gov, 146244, Doctorate, 16, Widowed, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+58, Self-emp-not-inc, 450544, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+43, Private, 81243, Bachelors, 13, Divorced, Tech-support, Not-in-family, White, Male, 0, 1876, 40, United-States, <=50K
+43, Private, 195258, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+46, Private, 57929, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K
+35, Private, 953588, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K
+51, Private, 99064, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 5013, 0, 40, United-States, <=50K
+52, Local-gov, 194788, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Female, 4787, 0, 60, United-States, >50K
+43, Self-emp-inc, 155293, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K
+68, Private, 204082, Some-college, 10, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+34, State-gov, 216283, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 45, United-States, >50K
+37, Private, 355856, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Cambodia, >50K
+22, Private, 297380, HS-grad, 9, Never-married, Sales, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+32, Private, 425622, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 55, United-States, <=50K
+65, Self-emp-not-inc, 145628, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 115549, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 60, United-States, <=50K
+37, Private, 245482, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male, 0, 0, 40, ?, <=50K
+40, Self-emp-inc, 142444, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+40, Private, 134026, 11th, 7, Never-married, Other-service, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+52, Private, 177366, HS-grad, 9, Separated, Other-service, Other-relative, White, Female, 0, 0, 20, United-States, <=50K
+35, Private, 38245, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K
+62, Self-emp-not-inc, 215944, 5th-6th, 3, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 30, United-States, <=50K
+49, Private, 115784, Assoc-voc, 11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 45, United-States, <=50K
+49, Private, 170165, HS-grad, 9, Divorced, Machine-op-inspct, Other-relative, White, Female, 0, 0, 55, United-States, <=50K
+47, Private, 355320, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 40, United-States, >50K
+45, Private, 116163, HS-grad, 9, Separated, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+37, Private, 405644, 1st-4th, 2, Married-spouse-absent, Farming-fishing, Other-relative, White, Male, 0, 0, 77, Mexico, <=50K
+36, Local-gov, 223433, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 53, United-States, >50K
+36, Private, 41624, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 70, Mexico, <=50K
+44, Private, 151089, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 50, United-States, >50K
+51, State-gov, 285747, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 60, United-States, >50K
+25, State-gov, 108542, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K
+28, Self-emp-not-inc, 212318, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K
+57, Private, 173090, HS-grad, 9, Widowed, Sales, Unmarried, White, Female, 0, 0, 32, United-States, <=50K
+46, Private, 26781, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K
+59, Private, 31782, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, >50K
+28, Private, 189241, 11th, 7, Married-civ-spouse, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 164229, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Male, 2597, 0, 40, United-States, <=50K
+35, Private, 240467, HS-grad, 9, Married-spouse-absent, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+27, Private, 263614, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K
+29, Private, 74500, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+43, Federal-gov, 263502, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+38, Federal-gov, 47707, HS-grad, 9, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+26, Private, 231638, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+55, ?, 389479, Masters, 14, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 50, United-States, >50K
+36, Private, 111128, HS-grad, 9, Separated, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 152307, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K
+23, ?, 280134, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 609789, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 30, ?, <=50K
+41, Private, 184466, 11th, 7, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 55, United-States, <=50K
+44, Private, 216411, Assoc-voc, 11, Separated, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, Dominican-Republic, <=50K
+48, Self-emp-not-inc, 324173, Assoc-voc, 11, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+35, Local-gov, 300681, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, Black, Male, 7298, 0, 35, United-States, >50K
+43, Local-gov, 598995, Bachelors, 13, Divorced, Prof-specialty, Unmarried, Black, Female, 0, 0, 42, United-States, <=50K
+57, Federal-gov, 140711, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+44, Local-gov, 262241, HS-grad, 9, Married-civ-spouse, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+28, Private, 308136, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+55, Private, 148590, 10th, 6, Widowed, Craft-repair, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+52, Private, 195635, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 2051, 38, United-States, <=50K
+30, Private, 228406, HS-grad, 9, Separated, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+31, Private, 136398, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 50, Thailand, >50K
+21, ?, 305466, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 70, United-States, <=50K
+50, Self-emp-inc, 175070, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K
+43, Self-emp-not-inc, 34007, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 70, United-States, >50K
+33, Private, 121195, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, Other, Male, 0, 0, 50, United-States, <=50K
+23, Federal-gov, 216853, Assoc-voc, 11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 25, United-States, <=50K
+35, Private, 81280, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 65, Yugoslavia, >50K
+18, Private, 212936, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 15, United-States, <=50K
+21, ?, 213055, Some-college, 10, Never-married, ?, Unmarried, Other, Female, 0, 0, 40, United-States, <=50K
+33, Local-gov, 220430, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 70, United-States, >50K
+30, Federal-gov, 73514, Bachelors, 13, Never-married, Exec-managerial, Other-relative, Asian-Pac-Islander, Female, 0, 0, 45, United-States, <=50K
+21, Private, 307371, Some-college, 10, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 15, United-States, <=50K
+36, Local-gov, 380614, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 35, Germany, >50K
+38, Private, 119992, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 192002, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 60, Canada, >50K
+24, Private, 327518, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+24, Private, 220323, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+39, Private, 421633, Some-college, 10, Divorced, Protective-serv, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K
+43, Private, 154210, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 2829, 0, 60, China, <=50K
+43, Self-emp-not-inc, 35034, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 21, United-States, <=50K
+62, ?, 378239, Masters, 14, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 2, United-States, >50K
+30, State-gov, 270218, Bachelors, 13, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+25, Private, 254933, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+45, Private, 61751, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 35, United-States, <=50K
+22, Private, 137876, Some-college, 10, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K
+73, Private, 336007, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2246, 40, United-States, >50K
+26, Private, 222539, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+24, Private, 233856, HS-grad, 9, Never-married, Machine-op-inspct, Other-relative, Black, Male, 0, 0, 45, United-States, <=50K
+18, Private, 198616, 12th, 8, Never-married, Craft-repair, Own-child, White, Male, 594, 0, 20, United-States, <=50K
+35, Private, 202027, Bachelors, 13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 7298, 0, 35, United-States, >50K
+22, Private, 203182, Some-college, 10, Separated, Sales, Unmarried, White, Female, 0, 0, 43, United-States, <=50K
+28, Private, 221317, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+38, Private, 186934, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+68, ?, 351402, Doctorate, 16, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 70, United-States, <=50K
+40, Local-gov, 179580, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K
+32, Private, 26803, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 84, United-States, >50K
+42, Private, 344624, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1902, 50, United-States, >50K
+31, State-gov, 59969, HS-grad, 9, Married-civ-spouse, Adm-clerical, Other-relative, White, Female, 0, 0, 35, United-States, <=50K
+33, Private, 162930, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, Italy, <=50K
+54, Self-emp-not-inc, 192654, Bachelors, 13, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K
+63, Private, 117681, HS-grad, 9, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K
+67, Self-emp-not-inc, 179285, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 30, United-States, <=50K
+47, Private, 217161, HS-grad, 9, Divorced, Other-service, Not-in-family, Black, Female, 0, 0, 14, United-States, <=50K
+67, Self-emp-inc, 116517, Bachelors, 13, Widowed, Other-service, Unmarried, White, Female, 0, 0, 35, United-States, <=50K
+33, Private, 170336, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, Other, Female, 0, 0, 19, United-States, <=50K
+33, Local-gov, 256529, HS-grad, 9, Separated, Other-service, Own-child, White, Female, 0, 0, 80, United-States, <=50K
+25, Local-gov, 227886, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 141706, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+35, Private, 361888, Some-college, 10, Divorced, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+54, Private, 185407, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 40, United-States, >50K
+35, Self-emp-not-inc, 176101, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 80, United-States, >50K
+18, Private, 216730, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 12, United-States, <=50K
+54, ?, 155755, HS-grad, 9, Divorced, ?, Not-in-family, White, Female, 4416, 0, 25, United-States, <=50K
+30, Private, 609789, 11th, 7, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, Mexico, <=50K
+29, Private, 136017, 10th, 6, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K
+41, Private, 58880, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 7688, 0, 10, United-States, >50K
+40, Private, 285787, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K
+46, Private, 173243, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 5178, 0, 40, United-States, >50K
+39, Private, 160916, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 45, United-States, <=50K
+42, Private, 227397, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K
+49, Self-emp-not-inc, 111066, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K
+23, Private, 189924, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+34, Private, 31740, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+42, Self-emp-not-inc, 120837, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 2042, 48, United-States, <=50K
+31, Private, 172304, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K
+72, ?, 166253, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 2, United-States, <=50K
+31, Private, 86492, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 30, United-States, >50K
+90, Private, 206667, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K
+27, Self-emp-not-inc, 153546, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+18, ?, 189041, HS-grad, 9, Never-married, ?, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+30, Self-emp-not-inc, 115932, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 99999, 0, 50, United-States, >50K
+27, Local-gov, 151626, HS-grad, 9, Never-married, Prof-specialty, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+27, Self-emp-not-inc, 37302, 11th, 7, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K
+28, Private, 109001, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 195488, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 45, United-States, <=50K
+43, Local-gov, 216116, Masters, 14, Separated, Prof-specialty, Unmarried, Black, Female, 0, 0, 37, United-States, <=50K
+26, Private, 118497, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K
+48, Self-emp-not-inc, 101233, Assoc-voc, 11, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 15, United-States, <=50K
+41, Private, 349703, Assoc-acdm, 12, Married-civ-spouse, Farming-fishing, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K
+32, Private, 226883, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Germany, <=50K
+23, Private, 214635, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 169672, 11th, 7, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 65, United-States, <=50K
+42, Private, 71458, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K
+27, State-gov, 142621, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 4101, 0, 40, United-States, <=50K
+34, Private, 125279, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 197303, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+46, Local-gov, 148995, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 4787, 0, 45, United-States, >50K
+34, Private, 69251, Some-college, 10, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K
+39, Private, 160123, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+33, Private, 137310, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, ?, <=50K
+25, Private, 323229, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+45, Private, 138626, Assoc-voc, 11, Divorced, Exec-managerial, Not-in-family, White, Male, 2174, 0, 50, United-States, <=50K
+46, Private, 102359, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 151888, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 4650, 0, 50, Ireland, <=50K
+37, Private, 404661, Some-college, 10, Never-married, Exec-managerial, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+39, Private, 99146, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, ?, >50K
+38, Self-emp-not-inc, 185325, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K
+35, Self-emp-not-inc, 230268, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+49, Self-emp-inc, 38819, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+37, Private, 380614, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 13, United-States, >50K
+45, Private, 319637, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+71, Private, 149040, 12th, 8, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+44, Private, 320984, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K
+19, ?, 117201, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 22, United-States, <=50K
+38, Private, 81965, Assoc-voc, 11, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+42, Local-gov, 182302, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 53434, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K
+48, Private, 216214, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+56, Self-emp-inc, 24127, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 54, United-States, >50K
+32, Federal-gov, 115066, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K
+19, Private, 120277, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+57, Self-emp-not-inc, 134286, Some-college, 10, Separated, Sales, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+55, Private, 26716, 10th, 6, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+48, ?, 174533, 11th, 7, Separated, ?, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+46, Self-emp-inc, 175958, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, ?, <=50K
+36, Private, 218948, 9th, 5, Separated, Other-service, Unmarried, Black, Female, 0, 0, 40, ?, <=50K
+66, Private, 117746, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+26, Private, 206199, HS-grad, 9, Never-married, Adm-clerical, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+58, Self-emp-inc, 89922, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 40, United-States, >50K
+62, Private, 69867, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K
+31, Private, 109020, Bachelors, 13, Never-married, Prof-specialty, Unmarried, Other, Male, 0, 0, 40, United-States, <=50K
+77, ?, 158847, Assoc-voc, 11, Married-spouse-absent, ?, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K
+25, Private, 130302, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 156728, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 56, United-States, <=50K
+33, Private, 424719, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+51, Federal-gov, 217647, Some-college, 10, Divorced, Prof-specialty, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+20, Private, 33087, Assoc-voc, 11, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+40, Federal-gov, 241895, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 38455, 10th, 6, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+41, Local-gov, 81054, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 25, United-States, <=50K
+44, Private, 163215, 12th, 8, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+35, Private, 156728, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K
+35, Self-emp-not-inc, 127930, HS-grad, 9, Married-spouse-absent, Farming-fishing, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+46, Federal-gov, 227310, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+24, Private, 96844, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 17, United-States, <=50K
+18, Private, 245199, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 46385, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+58, Private, 186385, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 8, United-States, <=50K
+55, Private, 252714, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+68, Private, 154897, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+41, Private, 320744, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+50, Private, 138852, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K
+48, Private, 102092, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+42, ?, 32533, Some-college, 10, Never-married, ?, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+45, Private, 278151, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K
+43, Private, 338290, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 34378, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K
+43, Private, 91959, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+36, Private, 265881, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+60, Private, 276009, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 30, Philippines, <=50K
+27, Private, 193898, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+36, Private, 139364, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+47, State-gov, 306473, Assoc-acdm, 12, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 37232, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 80, United-States, <=50K
+19, State-gov, 56424, 12th, 8, Never-married, Transport-moving, Own-child, Black, Male, 0, 0, 20, United-States, <=50K
+33, Private, 165235, Bachelors, 13, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 35, Thailand, <=50K
+34, Private, 153326, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+33, Private, 106976, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+57, Private, 109015, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K
+59, Private, 154100, Masters, 14, Never-married, Sales, Not-in-family, White, Female, 27828, 0, 45, United-States, >50K
+36, Private, 183739, HS-grad, 9, Married-civ-spouse, Craft-repair, Own-child, White, Female, 0, 2002, 40, United-States, <=50K
+60, Private, 367695, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+33, Local-gov, 156015, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K
+41, Private, 185132, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+20, Self-emp-not-inc, 188274, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 10, United-States, <=50K
+28, Local-gov, 50512, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 2202, 0, 50, United-States, <=50K
+24, State-gov, 147719, Masters, 14, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 20, India, <=50K
+31, Private, 414525, 12th, 8, Never-married, Farming-fishing, Not-in-family, Black, Male, 0, 0, 60, United-States, <=50K
+38, Private, 289148, HS-grad, 9, Married-spouse-absent, Craft-repair, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+40, Private, 176069, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+55, State-gov, 199713, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 15, United-States, <=50K
+49, Private, 297884, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 4064, 0, 50, United-States, <=50K
+33, Private, 204829, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+52, Private, 155433, 5th-6th, 3, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, ?, <=50K
+24, Local-gov, 32950, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+46, Private, 233511, Bachelors, 13, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K
+20, Private, 210781, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+50, Private, 190762, 5th-6th, 3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+22, Private, 83315, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+32, Self-emp-inc, 343872, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 35, Haiti, <=50K
+46, Private, 185385, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 65, United-States, >50K
+62, ?, 302142, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 2961, 0, 30, United-States, <=50K
+39, Private, 80324, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 62, United-States, >50K
+26, Private, 357933, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+20, Private, 211293, Some-college, 10, Never-married, Sales, Own-child, Black, Female, 0, 0, 14, United-States, <=50K
+37, Self-emp-inc, 199265, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K
+40, Private, 202872, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 24, United-States, <=50K
+22, Private, 195075, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 38, United-States, <=50K
+32, Private, 317378, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 10520, 0, 40, United-States, >50K
+41, Private, 187802, Some-college, 10, Divorced, Tech-support, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+24, Private, 97212, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K
+40, Private, 47902, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+37, State-gov, 76767, Prof-school, 15, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 39, United-States, >50K
+42, Private, 172297, Masters, 14, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 1902, 40, United-States, >50K
+56, Private, 274475, 9th, 5, Widowed, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+20, Private, 105244, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+55, Local-gov, 165695, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 253801, HS-grad, 9, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 305597, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+61, Self-emp-not-inc, 352448, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K
+26, Private, 242768, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K
+49, Self-emp-inc, 201080, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K
+18, Local-gov, 159032, 7th-8th, 4, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 149568, 9th, 5, Never-married, Farming-fishing, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K
+24, Private, 229553, HS-grad, 9, Never-married, Other-service, Own-child, Black, Female, 0, 0, 20, ?, <=50K
+24, State-gov, 155775, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 120074, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+37, Local-gov, 257588, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+36, Private, 177907, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 65, United-States, <=50K
+40, Private, 309311, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K
+44, Self-emp-not-inc, 138975, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K
+43, Self-emp-not-inc, 187778, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 20, United-States, <=50K
+19, Private, 35865, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+50, Private, 234373, Masters, 14, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 1485, 40, United-States, <=50K
+17, ?, 151141, 10th, 6, Never-married, ?, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+39, Private, 144688, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 50, United-States, <=50K
+43, Private, 248094, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+43, Private, 248094, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 213821, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+31, State-gov, 55849, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 121712, Bachelors, 13, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+30, Federal-gov, 164552, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 1876, 40, United-States, <=50K
+55, Private, 223127, 9th, 5, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K
+55, Private, 190514, 7th-8th, 4, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 75, United-States, <=50K
+29, Private, 203797, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+28, Private, 378460, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 10520, 0, 60, United-States, >50K
+30, Private, 105908, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 232356, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 1672, 55, United-States, <=50K
+23, Private, 210526, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+71, Private, 193530, 11th, 7, Never-married, Priv-house-serv, Not-in-family, White, Female, 0, 0, 75, United-States, <=50K
+22, ?, 22966, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 6, United-States, <=50K
+21, Private, 43535, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+62, ?, 72486, HS-grad, 9, Married-civ-spouse, ?, Husband, Asian-Pac-Islander, Male, 0, 0, 24, China, <=50K
+22, ?, 229997, Some-college, 10, Married-spouse-absent, ?, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+49, Private, 183013, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 113364, Assoc-acdm, 12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 20, United-States, <=50K
+27, Private, 197380, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 298635, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Hong, >50K
+26, Private, 213385, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K
+30, ?, 108464, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+17, Private, 31007, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+26, Private, 35917, Some-college, 10, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+45, Private, 99385, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, Canada, <=50K
+50, Private, 48358, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 40, United-States, >50K
+31, Private, 241885, HS-grad, 9, Never-married, Farming-fishing, Unmarried, White, Male, 0, 0, 45, United-States, <=50K
+51, Private, 24344, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+56, Private, 149686, 9th, 5, Widowed, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+24, State-gov, 154432, Bachelors, 13, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+29, Private, 331875, 12th, 8, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, Dominican-Republic, <=50K
+26, Private, 259585, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 24, United-States, <=50K
+51, Private, 104748, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K
+32, Local-gov, 144949, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K
+47, State-gov, 199512, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+30, Private, 302438, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+41, ?, 129155, 11th, 7, Widowed, ?, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K
+49, Federal-gov, 115784, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 96509, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, >50K
+62, Private, 226733, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+43, Self-emp-inc, 244945, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K
+76, Private, 243768, 5th-6th, 3, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K
+40, ?, 351161, Masters, 14, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 60, United-States, >50K
+35, Private, 186934, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+27, Private, 89813, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+54, Self-emp-inc, 129432, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 40, United-States, >50K
+55, Self-emp-not-inc, 184702, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 275291, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 12, United-States, <=50K
+20, Private, 258298, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+39, Private, 139743, HS-grad, 9, Separated, Adm-clerical, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+26, Private, 102476, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 10520, 0, 64, United-States, >50K
+20, Private, 103840, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 42, United-States, <=50K
+28, Private, 274579, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K
+56, Federal-gov, 156842, Some-college, 10, Separated, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+39, Private, 101020, 12th, 8, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+44, Federal-gov, 68729, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, >50K
+55, Private, 141326, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+54, Self-emp-not-inc, 168723, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 347166, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 13550, 0, 45, United-States, >50K
+34, Local-gov, 213722, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 57, United-States, >50K
+42, Private, 196797, HS-grad, 9, Never-married, Transport-moving, Unmarried, Black, Female, 0, 0, 38, United-States, <=50K
+50, Self-emp-inc, 207246, Some-college, 10, Separated, Exec-managerial, Unmarried, White, Female, 0, 0, 75, United-States, <=50K
+34, Federal-gov, 199934, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, >50K
+23, Private, 272185, Assoc-voc, 11, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 33, United-States, <=50K
+27, ?, 190650, Bachelors, 13, Never-married, ?, Unmarried, Asian-Pac-Islander, Male, 0, 0, 25, Philippines, <=50K
+81, ?, 147097, Bachelors, 13, Widowed, ?, Not-in-family, White, Male, 0, 0, 5, United-States, <=50K
+47, Private, 266281, 11th, 7, Never-married, Machine-op-inspct, Unmarried, Black, Female, 6849, 0, 40, United-States, <=50K
+57, Private, 96779, 5th-6th, 3, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+65, ?, 117162, Assoc-voc, 11, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 56, United-States, >50K
+33, Private, 188352, Masters, 14, Never-married, Prof-specialty, Not-in-family, Black, Male, 0, 0, 50, United-States, <=50K
+37, Private, 359131, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 48, United-States, <=50K
+53, Private, 198824, Bachelors, 13, Never-married, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+27, State-gov, 68393, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+47, Private, 115613, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K
+42, Private, 45363, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K
+39, Private, 121590, Some-college, 10, Never-married, Prof-specialty, Not-in-family, Black, Male, 4787, 0, 40, United-States, >50K
+58, Local-gov, 292379, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 482732, HS-grad, 9, Never-married, Adm-clerical, Other-relative, White, Male, 0, 0, 24, United-States, <=50K
+19, Private, 198663, HS-grad, 9, Never-married, Machine-op-inspct, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+39, Private, 230329, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K
+51, Private, 29887, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 44, United-States, <=50K
+52, Private, 194259, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, Germany, <=50K
+53, Private, 126368, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 50, United-States, >50K
+50, Private, 108446, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 220696, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 32008, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 72, United-States, <=50K
+30, Private, 191777, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, ?, <=50K
+50, Private, 185846, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K
+76, Private, 127016, 7th-8th, 4, Widowed, Priv-house-serv, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+46, Self-emp-not-inc, 102308, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 2415, 40, United-States, >50K
+24, Private, 157894, Some-college, 10, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+26, Private, 345405, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 2885, 0, 40, United-States, <=50K
+56, Self-emp-not-inc, 94156, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 50, United-States, >50K
+50, Private, 145409, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 40, United-States, >50K
+22, Private, 190968, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 2407, 0, 40, United-States, <=50K
+23, Local-gov, 212803, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+51, Private, 168660, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K
+58, Private, 234481, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 131461, 9th, 5, Married-civ-spouse, Other-service, Wife, Black, Female, 0, 0, 24, Haiti, <=50K
+45, Private, 408773, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K
+55, Self-emp-not-inc, 126117, HS-grad, 9, Widowed, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+45, Private, 155489, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K
+42, Private, 296749, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+44, State-gov, 185832, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 46, United-States, >50K
+60, Private, 43235, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+27, Private, 213152, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+25, Local-gov, 334267, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+61, ?, 253101, Bachelors, 13, Divorced, ?, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K
+43, Private, 64631, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K
+44, Local-gov, 193882, Assoc-voc, 11, Never-married, Tech-support, Not-in-family, White, Male, 0, 1340, 40, United-States, <=50K
+63, Private, 71800, 7th-8th, 4, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 41, United-States, <=50K
+46, Local-gov, 170092, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 43, United-States, <=50K
+47, Private, 198223, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 359796, Some-college, 10, Divorced, Sales, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+43, Private, 110556, HS-grad, 9, Separated, Exec-managerial, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+46, Private, 196858, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, >50K
+48, ?, 112860, 10th, 6, Married-civ-spouse, ?, Wife, Black, Female, 0, 0, 35, United-States, <=50K
+61, Self-emp-not-inc, 224784, Assoc-acdm, 12, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female, 0, 0, 90, United-States, <=50K
+53, Federal-gov, 271544, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 1977, 40, United-States, >50K
+79, ?, 142171, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 1409, 0, 35, United-States, <=50K
+44, Private, 221172, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+54, Private, 256916, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K
+22, Private, 157332, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+47, Federal-gov, 192894, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 50, United-States, >50K
+18, Private, 240183, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+25, Private, 204338, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+24, Private, 122166, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, Iran, <=50K
+37, Local-gov, 397877, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+51, Private, 115066, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 2547, 40, United-States, >50K
+35, Self-emp-not-inc, 170174, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 60, United-States, >50K
+59, Private, 171015, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 34, United-States, <=50K
+46, Private, 91262, Some-college, 10, Married-spouse-absent, Craft-repair, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K
+45, Local-gov, 127678, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 60, United-States, >50K
+19, Private, 263338, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 15, United-States, <=50K
+22, Private, 129508, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 28, United-States, <=50K
+41, Private, 192107, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+33, Self-emp-not-inc, 93930, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+26, Federal-gov, 207537, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+22, Private, 138542, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 35, United-States, <=50K
+29, Self-emp-not-inc, 116207, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 65, United-States, >50K
+22, Private, 198244, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 39, United-States, <=50K
+34, Private, 90614, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 2042, 10, United-States, <=50K
+23, Private, 211160, 12th, 8, Married-civ-spouse, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 194630, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 3781, 0, 50, United-States, <=50K
+25, Private, 161478, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K
+59, Private, 144071, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+44, Private, 167005, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 4386, 0, 55, United-States, <=50K
+55, Private, 342121, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K
+77, Self-emp-not-inc, 71676, Some-college, 10, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 1944, 1, United-States, <=50K
+42, Private, 124692, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+47, Private, 147236, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+42, Private, 145175, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+45, Private, 259323, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 154978, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Guatemala, <=50K
+60, ?, 163946, 9th, 5, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 127768, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+52, Private, 98588, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+49, Private, 192894, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+20, Private, 194848, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 34446, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+23, Local-gov, 177265, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 45, United-States, <=50K
+30, Private, 142977, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K
+45, Private, 241350, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 48, United-States, >50K
+30, Private, 154882, Prof-school, 15, Widowed, Other-service, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+17, Private, 60562, 9th, 5, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+22, Private, 142566, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 176162, Bachelors, 13, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+52, Private, 186303, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 55, Canada, >50K
+40, Private, 237671, Some-college, 10, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 40, United-States, >50K
+18, ?, 184416, 10th, 6, Never-married, ?, Own-child, Black, Male, 0, 0, 30, United-States, <=50K
+58, Private, 68624, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K
+30, Private, 229504, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+59, Private, 340591, 10th, 6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 3942, 0, 40, United-States, <=50K
+29, Private, 262208, Some-college, 10, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 30, Jamaica, <=50K
+26, Private, 236008, Assoc-voc, 11, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+39, Local-gov, 214284, Bachelors, 13, Widowed, Prof-specialty, Unmarried, Asian-Pac-Islander, Female, 0, 0, 10, Japan, <=50K
+33, Private, 169496, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+21, ?, 205940, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+22, Private, 195179, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 24, United-States, <=50K
+25, Private, 469697, Some-college, 10, Married-civ-spouse, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+19, ?, 140242, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+44, Private, 214415, Some-college, 10, Separated, Prof-specialty, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+35, Private, 452283, HS-grad, 9, Divorced, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+40, Private, 244172, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+19, Private, 231972, 11th, 7, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+37, Private, 412296, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, Mexico, >50K
+32, Private, 30497, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K
+52, Self-emp-not-inc, 189216, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K
+36, Private, 268292, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 41, United-States, <=50K
+38, Private, 69306, Some-college, 10, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+57, State-gov, 111224, Bachelors, 13, Divorced, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 39, United-States, <=50K
+22, State-gov, 309348, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K
+80, ?, 174995, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 8, Canada, <=50K
+20, Private, 210781, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+40, Private, 286750, 11th, 7, Separated, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 36, United-States, <=50K
+36, Self-emp-not-inc, 321274, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K
+27, Private, 192936, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+52, Private, 72743, HS-grad, 9, Married-spouse-absent, Adm-clerical, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+43, Private, 187861, HS-grad, 9, Separated, Transport-moving, Unmarried, White, Female, 0, 0, 44, United-States, <=50K
+35, Private, 179579, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 663394, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+27, Private, 302422, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+24, ?, 154373, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 25, United-States, <=50K
+49, Local-gov, 37353, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+26, Self-emp-not-inc, 109609, Some-college, 10, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+47, Private, 184402, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 32, United-States, <=50K
+20, Private, 224640, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+19, Private, 405526, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 36385, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 2258, 50, United-States, <=50K
+20, Private, 147884, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+23, Private, 164231, 11th, 7, Separated, Prof-specialty, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+25, Private, 383306, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 417668, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 36, United-States, <=50K
+25, Private, 161007, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+63, State-gov, 99823, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 32, United-States, <=50K
+25, Private, 37379, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+28, Private, 148645, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+39, Private, 180477, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 60, United-States, >50K
+28, Private, 123147, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Female, 4865, 0, 40, United-States, <=50K
+30, Private, 111415, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+41, Local-gov, 107327, Assoc-voc, 11, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+52, Local-gov, 146565, Assoc-acdm, 12, Divorced, Other-service, Not-in-family, White, Female, 4865, 0, 30, United-States, <=50K
+36, Private, 267556, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 4064, 0, 40, United-States, <=50K
+47, Private, 284871, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 40, United-States, >50K
+27, Private, 194690, 9th, 5, Never-married, Other-service, Own-child, White, Male, 0, 0, 50, Mexico, <=50K
+32, Federal-gov, 145983, Some-college, 10, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 40, United-States, <=50K
+52, Private, 163998, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 99999, 0, 45, United-States, >50K
+50, Private, 128478, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 70, United-States, <=50K
+21, Private, 250647, Some-college, 10, Never-married, Adm-clerical, Other-relative, White, Male, 0, 0, 30, Nicaragua, <=50K
+60, Private, 226949, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 37, United-States, <=50K
+47, Private, 157901, 11th, 7, Married-civ-spouse, Other-service, Husband, Amer-Indian-Eskimo, Male, 0, 0, 36, United-States, <=50K
+54, Self-emp-not-inc, 33863, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, >50K
+32, Local-gov, 40444, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+61, Private, 54373, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 52753, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 1504, 40, United-States, <=50K
+29, Self-emp-not-inc, 104423, Some-college, 10, Married-civ-spouse, Exec-managerial, Other-relative, White, Male, 4386, 0, 45, United-States, >50K
+36, Local-gov, 305714, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 70, United-States, <=50K
+38, Local-gov, 167440, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 20, United-States, <=50K
+59, Private, 291529, 10th, 6, Widowed, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 52, United-States, <=50K
+43, Private, 243380, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+19, Private, 38619, 11th, 7, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 10, United-States, <=50K
+42, Private, 230684, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 5013, 0, 40, United-States, <=50K
+33, Private, 132601, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K
+47, Private, 193285, HS-grad, 9, Married-civ-spouse, Other-service, Wife, Black, Female, 5013, 0, 40, United-States, <=50K
+51, Private, 279156, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 40, United-States, >50K
+28, Private, 339372, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+61, Private, 101265, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 43, United-States, <=50K
+23, Private, 117789, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K
+31, Private, 312667, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+38, Self-emp-not-inc, 255503, 11th, 7, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K
+21, Private, 221955, 9th, 5, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K
+22, Private, 139190, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 50, United-States, <=50K
+35, Private, 185556, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1887, 40, United-States, >50K
+53, Federal-gov, 84278, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 48, United-States, >50K
+40, Private, 114580, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 24, United-States, >50K
+36, Private, 185405, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, >50K
+33, Self-emp-not-inc, 199539, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 65, United-States, <=50K
+23, Private, 346480, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+51, Local-gov, 349431, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 4386, 0, 40, United-States, >50K
+31, Private, 219619, HS-grad, 9, Never-married, Sales, Other-relative, White, Male, 0, 0, 48, United-States, <=50K
+28, Local-gov, 127491, HS-grad, 9, Separated, Adm-clerical, Not-in-family, White, Female, 5721, 0, 40, United-States, <=50K
+26, Self-emp-not-inc, 253899, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 155232, Bachelors, 13, Divorced, Protective-serv, Not-in-family, Black, Male, 0, 0, 60, United-States, >50K
+43, Private, 182437, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, >50K
+19, Private, 530454, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+46, Private, 101430, 11th, 7, Divorced, Handlers-cleaners, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+49, Local-gov, 358668, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K
+31, Private, 90668, 10th, 6, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+45, Private, 126141, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+41, Private, 238355, 5th-6th, 3, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+22, Private, 194031, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+25, Private, 117833, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 1876, 40, United-States, <=50K
+46, Private, 249686, Prof-school, 15, Separated, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, >50K
+44, Self-emp-not-inc, 219591, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 221757, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 80625, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+54, Private, 185407, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K
+34, Private, 163110, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K
+34, ?, 24504, HS-grad, 9, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 159187, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 55, United-States, >50K
+21, Private, 100462, Assoc-voc, 11, Never-married, Exec-managerial, Own-child, White, Female, 2174, 0, 60, United-States, <=50K
+27, Private, 192936, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+29, Private, 145011, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+60, Self-emp-inc, 181196, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+36, Self-emp-not-inc, 37778, Masters, 14, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 70, United-States, <=50K
+27, Private, 60288, Masters, 14, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+57, Self-emp-not-inc, 84231, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 48, United-States, <=50K
+24, Private, 52028, 1st-4th, 2, Married-civ-spouse, Other-service, Own-child, Asian-Pac-Islander, Female, 0, 0, 5, Vietnam, <=50K
+63, Private, 318763, Some-college, 10, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 22, United-States, <=50K
+29, Private, 168138, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K
+34, Private, 113530, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 321896, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 145791, Assoc-voc, 11, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+31, Private, 131425, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+55, Private, 145214, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 4650, 0, 20, United-States, <=50K
+64, Local-gov, 142166, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 99, United-States, <=50K
+20, Private, 494784, HS-grad, 9, Never-married, Sales, Other-relative, Black, Female, 0, 0, 35, United-States, <=50K
+44, Self-emp-not-inc, 172479, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 15024, 0, 60, United-States, >50K
+35, Private, 184655, 11th, 7, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+41, Local-gov, 26669, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+38, Private, 191479, Some-college, 10, Divorced, Exec-managerial, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+21, Private, 86625, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, ?, <=50K
+64, State-gov, 111795, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K
+42, Private, 242564, 7th-8th, 4, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 2205, 40, United-States, <=50K
+31, Private, 364657, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, Germany, >50K
+42, Self-emp-not-inc, 436107, Assoc-acdm, 12, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K
+35, Private, 272476, Assoc-acdm, 12, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 35, United-States, >50K
+36, Federal-gov, 47310, Some-college, 10, Divorced, Exec-managerial, Unmarried, Black, Female, 0, 0, 40, United-States, >50K
+23, Private, 283796, 12th, 8, Never-married, Machine-op-inspct, Other-relative, White, Male, 0, 0, 30, Mexico, <=50K
+20, Private, 161092, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 14, United-States, <=50K
+26, Local-gov, 265230, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+56, Federal-gov, 61885, Bachelors, 13, Never-married, Transport-moving, Not-in-family, Black, Male, 0, 2001, 65, United-States, <=50K
+40, Private, 150471, Assoc-acdm, 12, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+19, Private, 183041, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 24, United-States, <=50K
+33, Private, 176673, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+45, Federal-gov, 235891, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, Columbia, <=50K
+41, Private, 163287, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 43, United-States, >50K
+29, Private, 164040, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+46, Local-gov, 324561, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 45, United-States, >50K
+48, Private, 99127, Assoc-acdm, 12, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K
+38, Private, 334999, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K
+29, Private, 543477, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+35, Private, 65876, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+59, Local-gov, 105866, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 30, United-States, <=50K
+27, Private, 214858, HS-grad, 9, Married-civ-spouse, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+43, Private, 154076, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K
+70, Private, 280307, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 20, Cuba, <=50K
+30, Private, 97723, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 45, United-States, <=50K
+24, Private, 233499, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K
+76, Local-gov, 259612, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 15, United-States, <=50K
+25, Private, 236977, HS-grad, 9, Separated, Craft-repair, Own-child, White, Male, 0, 0, 40, Mexico, <=50K
+39, Private, 347814, Assoc-acdm, 12, Never-married, Other-service, Own-child, White, Female, 0, 0, 56, United-States, <=50K
+36, Local-gov, 197495, Bachelors, 13, Divorced, Prof-specialty, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+23, Private, 227594, 12th, 8, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+60, Private, 165441, 7th-8th, 4, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+20, ?, 337488, Some-college, 10, Never-married, ?, Own-child, Black, Male, 0, 0, 30, United-States, <=50K
+54, Private, 167552, 1st-4th, 2, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, Haiti, >50K
+20, Private, 396722, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+22, Federal-gov, 146538, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 51973, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+41, Private, 144778, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 169672, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 240137, 5th-6th, 3, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 55, Mexico, <=50K
+54, State-gov, 103179, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 50, United-States, >50K
+17, Private, 172050, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 16, United-States, <=50K
+43, Private, 178976, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+33, Private, 176185, 12th, 8, Divorced, Craft-repair, Not-in-family, White, Male, 0, 2258, 42, United-States, <=50K
+30, Private, 158200, Prof-school, 15, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, ?, <=50K
+38, Federal-gov, 172571, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+54, Self-emp-not-inc, 226735, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 45, United-States, <=50K
+39, Private, 148015, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 52, United-States, <=50K
+32, Private, 199529, Some-college, 10, Separated, Tech-support, Not-in-family, Amer-Indian-Eskimo, Male, 0, 1980, 40, United-States, <=50K
+61, Local-gov, 35001, 7th-8th, 4, Married-civ-spouse, Adm-clerical, Husband, White, Male, 2885, 0, 40, United-States, <=50K
+24, ?, 67586, Assoc-voc, 11, Married-civ-spouse, ?, Wife, Black, Female, 0, 0, 35, United-States, <=50K
+22, Private, 88126, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 226296, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, >50K
+18, Private, 452452, 10th, 6, Never-married, Priv-house-serv, Own-child, Black, Female, 0, 0, 20, United-States, <=50K
+20, Private, 378546, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 25, United-States, <=50K
+53, Federal-gov, 186087, HS-grad, 9, Divorced, Tech-support, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 27856, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+68, Self-emp-not-inc, 234859, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 30, United-States, <=50K
+28, Private, 71733, Some-college, 10, Separated, Other-service, Unmarried, White, Female, 0, 0, 15, United-States, <=50K
+28, Private, 207473, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, El-Salvador, <=50K
+54, Private, 179291, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 56, Haiti, >50K
+21, ?, 253190, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 48, United-States, <=50K
+52, Private, 92968, Bachelors, 13, Separated, Exec-managerial, Unmarried, White, Female, 0, 0, 40, ?, <=50K
+25, Private, 209286, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 122889, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 50, India, >50K
+33, Private, 112358, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 32, United-States, <=50K
+49, Private, 176341, Bachelors, 13, Never-married, Tech-support, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, India, <=50K
+58, Private, 247276, 7th-8th, 4, Widowed, Other-service, Not-in-family, Other, Female, 0, 0, 30, United-States, <=50K
+45, Private, 276087, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 24, United-States, >50K
+67, Private, 257557, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, Black, Male, 10566, 0, 40, United-States, <=50K
+42, Local-gov, 177937, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, ?, <=50K
+69, Self-emp-inc, 106395, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, >50K
+61, Private, 167138, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+34, Private, 213887, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 185647, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+19, Private, 143360, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 34, United-States, <=50K
+31, Self-emp-not-inc, 176862, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+32, Federal-gov, 97614, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+76, ?, 224680, Prof-school, 15, Married-civ-spouse, ?, Husband, White, Male, 0, 1258, 20, United-States, <=50K
+53, Private, 196763, Assoc-acdm, 12, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K
+46, Private, 306183, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 37, United-States, <=50K
+43, Self-emp-not-inc, 343061, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 4508, 0, 40, Cuba, <=50K
+48, ?, 193047, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, >50K
+39, Private, 348521, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 2415, 99, United-States, >50K
+59, Private, 195835, 7th-8th, 4, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+19, Private, 106273, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 38, United-States, <=50K
+40, Private, 222756, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K
+63, Self-emp-inc, 110610, 10th, 6, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K
+44, ?, 191982, Some-college, 10, Divorced, ?, Unmarried, White, Female, 0, 0, 10, Poland, <=50K
+46, Private, 247286, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+22, Private, 219042, 10th, 6, Never-married, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 224566, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 1669, 45, United-States, <=50K
+57, Private, 204751, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+58, Private, 113398, HS-grad, 9, Never-married, Other-service, Other-relative, White, Male, 0, 0, 25, United-States, <=50K
+25, ?, 170428, Bachelors, 13, Never-married, ?, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 28, Taiwan, <=50K
+59, Private, 258579, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 3103, 0, 35, United-States, >50K
+36, Private, 162424, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+29, Private, 263005, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, Germany, <=50K
+49, Self-emp-inc, 26502, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Male, 6497, 0, 45, United-States, <=50K
+42, Private, 369131, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K
+43, Local-gov, 114859, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 17, United-States, <=50K
+46, Private, 405309, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+43, Local-gov, 323627, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 12, United-States, <=50K
+40, Private, 106698, Assoc-acdm, 12, Divorced, Transport-moving, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+43, Private, 51506, 12th, 8, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+48, Private, 117251, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K
+26, Private, 106705, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 28, United-States, <=50K
+30, Private, 217296, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 35, United-States, <=50K
+58, Private, 34788, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 1887, 40, United-States, >50K
+43, Private, 143368, HS-grad, 9, Divorced, Farming-fishing, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+53, Local-gov, 86600, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+74, State-gov, 117017, Some-college, 10, Separated, Sales, Not-in-family, White, Male, 0, 0, 16, United-States, <=50K
+64, ?, 104756, Some-college, 10, Widowed, ?, Unmarried, White, Female, 0, 0, 8, United-States, <=50K
+45, Private, 55720, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+32, State-gov, 481096, 5th-6th, 3, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 10, United-States, <=50K
+23, ?, 281668, 10th, 6, Never-married, ?, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+38, Private, 186145, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, >50K
+42, Self-emp-not-inc, 96524, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+24, Local-gov, 187397, Some-college, 10, Never-married, Protective-serv, Unmarried, Other, Male, 1151, 0, 40, United-States, <=50K
+63, Private, 181153, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 35, United-States, <=50K
+25, Local-gov, 375170, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 35, United-States, <=50K
+37, Private, 360743, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+28, Self-emp-not-inc, 420054, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Italy, <=50K
+31, Private, 137681, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+46, Private, 28419, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 50, United-States, >50K
+44, Private, 101214, Bachelors, 13, Divorced, Sales, Unmarried, White, Male, 0, 0, 44, United-States, >50K
+42, Local-gov, 213019, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, >50K
+45, Private, 207540, Doctorate, 16, Separated, Exec-managerial, Unmarried, White, Male, 0, 0, 40, United-States, >50K
+52, Private, 145333, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+40, Private, 107306, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+26, Private, 195327, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+55, Private, 196126, Bachelors, 13, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 40, ?, <=50K
+17, Private, 175465, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 0, 14, United-States, <=50K
+27, Private, 197905, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+71, Self-emp-inc, 118119, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 20051, 0, 50, United-States, >50K
+35, Private, 172571, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K
+17, Private, 25051, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 16, United-States, <=50K
+26, Private, 210714, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 52, United-States, >50K
+22, Private, 183083, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+51, Private, 99185, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K
+33, Private, 283921, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+41, Local-gov, 396467, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 50, United-States, >50K
+50, Private, 158680, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+26, Private, 202091, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K
+21, Private, 285127, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+53, Private, 218630, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K
+32, Self-emp-inc, 99309, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+19, Private, 165505, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+22, Private, 122272, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+58, Private, 147707, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 60, United-States, >50K
+47, Federal-gov, 44257, Bachelors, 13, Married-spouse-absent, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, United-States, >50K
+51, Self-emp-inc, 194995, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+42, State-gov, 345969, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 48, United-States, >50K
+28, Private, 31842, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 143582, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female, 0, 0, 35, Vietnam, <=50K
+50, Private, 161438, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+22, Private, 317019, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+47, Self-emp-not-inc, 158451, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+60, Private, 225883, Some-college, 10, Widowed, Sales, Unmarried, White, Female, 0, 0, 27, United-States, <=50K
+46, Self-emp-not-inc, 176319, HS-grad, 9, Married-civ-spouse, Sales, Own-child, White, Female, 7298, 0, 40, United-States, >50K
+58, Self-emp-inc, 258883, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K
+62, Private, 26966, Some-college, 10, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+47, Private, 202812, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, ?, >50K
+59, Private, 35411, HS-grad, 9, Widowed, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+41, Private, 190885, HS-grad, 9, Separated, Other-service, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K
+31, Private, 182162, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 37, United-States, <=50K
+18, Private, 352640, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+64, Self-emp-not-inc, 213945, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+51, Self-emp-not-inc, 135102, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 65, United-States, <=50K
+47, Self-emp-not-inc, 102583, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+68, Private, 225612, Bachelors, 13, Widowed, Sales, Not-in-family, White, Male, 0, 0, 35, United-States, >50K
+32, Private, 241802, HS-grad, 9, Married-civ-spouse, Other-service, Wife, Other, Female, 0, 0, 40, United-States, <=50K
+39, Private, 347434, 9th, 5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 43, Mexico, <=50K
+37, Private, 305259, Assoc-acdm, 12, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K
+29, Private, 140830, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+44, Private, 291568, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, Other, Male, 0, 0, 40, United-States, <=50K
+46, Private, 203067, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+40, Self-emp-not-inc, 155106, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+19, ?, 252752, HS-grad, 9, Never-married, ?, Own-child, Black, Male, 0, 0, 35, United-States, <=50K
+65, ?, 404601, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 2414, 0, 30, United-States, <=50K
+52, Local-gov, 100226, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K
+40, Private, 63503, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+61, Private, 95929, 9th, 5, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 187618, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K
+61, Self-emp-not-inc, 92178, 11th, 7, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 220362, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 84, United-States, >50K
+32, Local-gov, 209900, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 65, United-States, >50K
+32, Private, 272376, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+32, Self-emp-not-inc, 173854, Bachelors, 13, Divorced, Prof-specialty, Other-relative, White, Male, 0, 0, 35, United-States, >50K
+37, Private, 278924, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+53, Private, 324568, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+51, Self-emp-inc, 124963, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+29, Private, 211299, Assoc-voc, 11, Never-married, Sales, Not-in-family, Black, Male, 0, 0, 45, United-States, <=50K
+48, Private, 192791, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+69, Private, 182862, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 15831, 0, 40, United-States, >50K
+28, Private, 46868, Masters, 14, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+55, Local-gov, 31365, Bachelors, 13, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, >50K
+45, Private, 148171, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 15024, 0, 40, United-States, >50K
+18, Private, 142647, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+60, Private, 116230, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 108907, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, ?, <=50K
+19, Private, 495982, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 10, United-States, <=50K
+18, Private, 334026, 11th, 7, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 25, United-States, <=50K
+33, Private, 268571, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 213813, Some-college, 10, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+29, Private, 241667, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+37, Private, 160920, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K
+50, Private, 107265, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K
+19, ?, 41609, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 10, United-States, <=50K
+28, Private, 129460, 10th, 6, Widowed, Adm-clerical, Unmarried, White, Female, 0, 2238, 35, United-States, <=50K
+43, ?, 109912, Bachelors, 13, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 7, United-States, >50K
+23, Private, 167424, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+47, Private, 270079, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 325923, Some-college, 10, Never-married, Tech-support, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+19, Private, 194905, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 12, United-States, <=50K
+47, Local-gov, 183486, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 50, United-States, >50K
+36, Federal-gov, 153066, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+62, Self-emp-inc, 56248, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 2415, 60, United-States, >50K
+65, Private, 105252, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K
+46, Self-emp-not-inc, 168195, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 45, United-States, >50K
+35, Private, 167735, 11th, 7, Never-married, Craft-repair, Own-child, White, Male, 6849, 0, 40, United-States, <=50K
+50, Private, 146310, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 256504, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 6, United-States, <=50K
+17, Private, 121425, 11th, 7, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 16, United-States, <=50K
+33, Private, 146440, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1740, 40, United-States, <=50K
+57, ?, 155259, Some-college, 10, Divorced, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+53, Self-emp-not-inc, 98829, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K
+47, Self-emp-inc, 239321, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+62, Self-emp-inc, 134768, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 35, United-States, <=50K
+35, Private, 556902, HS-grad, 9, Divorced, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+27, Private, 47907, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 43, United-States, <=50K
+23, Private, 114357, HS-grad, 9, Never-married, Tech-support, Own-child, White, Male, 0, 0, 50, United-States, <=50K
+27, Private, 189462, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 1504, 45, United-States, <=50K
+39, Private, 90646, Assoc-voc, 11, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+25, Private, 232914, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 38, United-States, <=50K
+24, Private, 192201, Some-college, 10, Never-married, Exec-managerial, Not-in-family, Black, Female, 0, 0, 20, United-States, <=50K
+23, Private, 27776, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 137476, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 35, United-States, >50K
+30, Private, 100734, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 38, United-States, <=50K
+34, Private, 111746, HS-grad, 9, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 45, Portugal, <=50K
+32, Private, 184833, 10th, 6, Separated, Craft-repair, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+18, Private, 414721, 11th, 7, Never-married, Other-service, Own-child, Black, Male, 0, 1602, 23, United-States, <=50K
+20, Private, 151780, Assoc-voc, 11, Never-married, Sales, Not-in-family, Black, Female, 0, 0, 35, United-States, <=50K
+38, State-gov, 203628, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K
+18, Private, 137363, 12th, 8, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+41, Private, 172307, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 273403, Assoc-voc, 11, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+36, State-gov, 37931, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 48, United-States, >50K
+61, Private, 97030, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+30, Private, 54608, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, <=50K
+26, Private, 108542, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+27, Private, 253814, Bachelors, 13, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 40, United-States, >50K
+45, Private, 421412, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, >50K
+47, Private, 207140, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K
+19, Private, 138153, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 10, United-States, <=50K
+29, Private, 46987, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K
+51, Self-emp-inc, 183173, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 70, United-States, >50K
+34, Local-gov, 229531, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K
+42, Self-emp-not-inc, 320744, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 3908, 0, 45, United-States, <=50K
+26, Private, 257405, 5th-6th, 3, Never-married, Farming-fishing, Other-relative, Black, Male, 0, 0, 40, Mexico, <=50K
+20, State-gov, 432052, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 15, United-States, <=50K
+43, Private, 397280, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, >50K
+20, Private, 38001, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+27, Private, 101618, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K
+46, Federal-gov, 332727, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+39, Private, 115215, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 178449, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 49, United-States, <=50K
+42, Private, 185267, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 32, United-States, <=50K
+23, Private, 410439, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 25, United-States, <=50K
+29, Private, 85572, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 42, United-States, >50K
+27, Private, 83517, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 60, United-States, <=50K
+43, Self-emp-not-inc, 194726, HS-grad, 9, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+23, Private, 322674, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+40, Local-gov, 34540, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 44, United-States, <=50K
+35, Local-gov, 211073, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 61, United-States, >50K
+30, Private, 194901, HS-grad, 9, Never-married, Sales, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+59, Private, 117059, 11th, 7, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K
+65, Self-emp-not-inc, 78875, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 2290, 0, 40, United-States, <=50K
+28, Private, 51461, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K
+79, Private, 266119, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+43, Local-gov, 92374, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, Black, Female, 0, 0, 35, United-States, >50K
+54, Private, 175262, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 208249, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 62, United-States, <=50K
+30, Private, 196385, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 35, United-States, >50K
+22, ?, 110622, Bachelors, 13, Never-married, ?, Own-child, Asian-Pac-Islander, Female, 0, 0, 15, Taiwan, <=50K
+34, Private, 146980, HS-grad, 9, Married-spouse-absent, Other-service, Unmarried, White, Female, 0, 0, 65, United-States, <=50K
+18, Private, 112974, 11th, 7, Never-married, Prof-specialty, Other-relative, White, Male, 0, 0, 3, United-States, <=50K
+40, Self-emp-not-inc, 175943, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1977, 15, United-States, >50K
+28, Private, 163265, 9th, 5, Married-civ-spouse, Sales, Husband, White, Male, 4508, 0, 40, United-States, <=50K
+18, Private, 210932, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+46, Private, 145290, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 198992, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+77, ?, 174887, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 6, United-States, <=50K
+41, Federal-gov, 36651, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1848, 40, United-States, >50K
+48, Private, 190072, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, >50K
+29, Private, 49087, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+41, Private, 126622, 11th, 7, Divorced, Handlers-cleaners, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+41, Private, 174189, 9th, 5, Separated, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 118605, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, <=50K
+49, Self-emp-not-inc, 377622, Assoc-acdm, 12, Divorced, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+49, Private, 157272, HS-grad, 9, Separated, Sales, Unmarried, White, Male, 0, 0, 50, United-States, <=50K
+30, Private, 78530, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 190391, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+62, State-gov, 162678, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+41, Private, 103980, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 52, United-States, <=50K
+20, Private, 293726, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+61, Private, 98350, Preschool, 1, Married-spouse-absent, Other-service, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, China, <=50K
+30, Private, 207668, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 60, Hungary, <=50K
+29, Federal-gov, 41013, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K
+50, Private, 188186, Masters, 14, Divorced, Sales, Not-in-family, White, Female, 0, 1590, 45, United-States, <=50K
+44, Federal-gov, 320071, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+25, Private, 306908, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K
+62, Private, 167652, Assoc-voc, 11, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+57, Private, 173580, Some-college, 10, Widowed, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+35, Private, 273612, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+26, Private, 195555, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+60, Private, 186446, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, United-States, <=50K
+22, Private, 418405, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+62, Local-gov, 41793, Masters, 14, Separated, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, ?, <=50K
+26, Private, 183965, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 354784, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+44, Private, 198096, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 40, United-States, >50K
+32, Private, 732102, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+66, Self-emp-not-inc, 97847, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K
+24, Private, 196678, Preschool, 1, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+19, Private, 320014, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 25, United-States, <=50K
+54, Self-emp-inc, 298215, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+37, Private, 295127, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 368140, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+37, Self-emp-not-inc, 187411, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, ?, <=50K
+22, ?, 121070, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+34, Private, 212163, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 25, United-States, <=50K
+35, Self-emp-not-inc, 108198, HS-grad, 9, Divorced, Craft-repair, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 15, United-States, <=50K
+42, Federal-gov, 294431, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+47, Federal-gov, 202560, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K
+29, Self-emp-inc, 266070, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 80, United-States, <=50K
+34, Private, 346122, HS-grad, 9, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+38, Self-emp-inc, 308686, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 70, United-States, >50K
+62, Self-emp-inc, 236096, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+35, Private, 187711, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 238959, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K
+47, Private, 93557, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 329980, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 125010, Assoc-voc, 11, Never-married, Priv-house-serv, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+60, Self-emp-inc, 90915, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K
+31, Private, 289731, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+74, ?, 33114, 10th, 6, Married-civ-spouse, ?, Husband, Amer-Indian-Eskimo, Male, 1797, 0, 30, United-States, <=50K
+63, Private, 206052, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 191385, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+44, ?, 268804, HS-grad, 9, Married-civ-spouse, ?, Husband, Black, Male, 0, 0, 30, United-States, <=50K
+40, Self-emp-inc, 191429, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 40, United-States, >50K
+35, Self-emp-not-inc, 199753, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 60, United-States, <=50K
+50, Local-gov, 92486, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+18, Private, 171088, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 10, United-States, <=50K
+33, Private, 112820, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K
+59, Self-emp-not-inc, 32855, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 70, United-States, <=50K
+17, Private, 142964, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+47, Private, 89146, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, >50K
+51, ?, 147015, Some-college, 10, Divorced, ?, Not-in-family, Black, Male, 0, 0, 50, United-States, <=50K
+26, Private, 291968, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+32, Local-gov, 29235, Some-college, 10, Married-civ-spouse, Protective-serv, Wife, White, Female, 0, 0, 40, France, >50K
+55, Private, 238216, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+36, State-gov, 323726, Some-college, 10, Never-married, Tech-support, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+54, Private, 141663, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+19, ?, 218471, HS-grad, 9, Never-married, ?, Own-child, White, Female, 0, 1602, 30, United-States, <=50K
+32, Private, 118551, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, >50K
+52, Local-gov, 35092, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+39, Private, 139703, HS-grad, 9, Married-spouse-absent, Sales, Unmarried, Black, Female, 0, 0, 28, Jamaica, <=50K
+39, Federal-gov, 206190, HS-grad, 9, Never-married, Exec-managerial, Unmarried, White, Female, 0, 0, 45, United-States, <=50K
+59, Self-emp-not-inc, 178353, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+55, Federal-gov, 169133, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+54, Self-emp-not-inc, 103179, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, >50K
+31, Private, 354464, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+19, ?, 124651, 11th, 7, Never-married, ?, Own-child, Black, Male, 0, 0, 25, United-States, <=50K
+30, Private, 60426, HS-grad, 9, Married-civ-spouse, Adm-clerical, Own-child, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K
+47, Federal-gov, 98726, Bachelors, 13, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+31, Private, 133861, Assoc-acdm, 12, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+32, Self-emp-not-inc, 180303, Bachelors, 13, Divorced, Craft-repair, Unmarried, Asian-Pac-Islander, Male, 0, 0, 47, Iran, <=50K
+33, Private, 221324, Assoc-voc, 11, Never-married, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+31, Private, 325658, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 210562, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+46, Private, 152249, HS-grad, 9, Married-spouse-absent, Other-service, Not-in-family, White, Male, 0, 0, 35, Mexico, <=50K
+29, Private, 178649, HS-grad, 9, Married-spouse-absent, Other-service, Not-in-family, White, Female, 0, 0, 20, France, <=50K
+41, State-gov, 48997, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+39, Private, 243409, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K
+34, Private, 162442, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 20, United-States, >50K
+23, Private, 203078, Bachelors, 13, Never-married, Adm-clerical, Own-child, Black, Male, 0, 0, 24, United-States, <=50K
+53, Self-emp-inc, 155983, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 65, United-States, >50K
+45, Self-emp-not-inc, 182677, HS-grad, 9, Married-spouse-absent, Craft-repair, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, Thailand, <=50K
+34, ?, 170276, Bachelors, 13, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 10, United-States, >50K
+47, Private, 105381, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+24, ?, 256240, 7th-8th, 4, Married-civ-spouse, ?, Own-child, White, Male, 0, 0, 60, United-States, <=50K
+42, Private, 210275, Masters, 14, Divorced, Tech-support, Unmarried, Black, Female, 4687, 0, 35, United-States, >50K
+53, Private, 150980, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 3137, 0, 40, United-States, <=50K
+38, Self-emp-inc, 141584, HS-grad, 9, Divorced, Sales, Unmarried, White, Male, 0, 0, 55, United-States, <=50K
+26, Private, 113571, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K
+18, Private, 154089, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+43, Private, 50197, 10th, 6, Separated, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+26, Private, 132572, Bachelors, 13, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 32, United-States, <=50K
+47, Private, 238185, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+26, Private, 112754, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 65, United-States, >50K
+21, ?, 357029, Some-college, 10, Married-civ-spouse, ?, Wife, Black, Female, 2105, 0, 20, United-States, <=50K
+32, State-gov, 213389, Some-college, 10, Divorced, Protective-serv, Unmarried, White, Female, 0, 1726, 38, United-States, <=50K
+48, Self-emp-inc, 287647, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 55, United-States, >50K
+39, Private, 150061, Masters, 14, Divorced, Exec-managerial, Unmarried, Black, Female, 15020, 0, 60, United-States, >50K
+58, Self-emp-inc, 143266, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+55, Self-emp-not-inc, 68006, 7th-8th, 4, Never-married, Other-service, Other-relative, White, Female, 0, 0, 60, United-States, <=50K
+40, Private, 287079, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K
+33, Private, 223212, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+74, Self-emp-not-inc, 173929, Doctorate, 16, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male, 0, 0, 25, United-States, >50K
+49, Self-emp-not-inc, 182211, HS-grad, 9, Widowed, Farming-fishing, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K
+56, Self-emp-not-inc, 62539, 11th, 7, Widowed, Other-service, Unmarried, White, Female, 0, 0, 65, Greece, >50K
+29, Private, 157612, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 14344, 0, 40, United-States, >50K
+25, Private, 305472, Assoc-acdm, 12, Never-married, Machine-op-inspct, Own-child, Black, Male, 0, 0, 48, United-States, <=50K
+57, Private, 548256, 12th, 8, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+29, Private, 40295, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 112403, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Male, 2354, 0, 40, United-States, <=50K
+59, Private, 31137, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+30, Private, 116138, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 27828, 0, 60, United-States, >50K
+28, ?, 127833, HS-grad, 9, Never-married, ?, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+19, Private, 201743, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+40, Private, 240027, Some-college, 10, Never-married, Sales, Unmarried, Black, Female, 0, 0, 45, United-States, <=50K
+28, Private, 129882, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+48, ?, 355890, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 55, United-States, >50K
+20, Private, 107658, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 10, Canada, <=50K
+58, Private, 136841, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 99999, 0, 35, United-States, >50K
+19, Private, 146679, Some-college, 10, Never-married, Exec-managerial, Own-child, Black, Male, 0, 0, 30, United-States, <=50K
+75, ?, 35724, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 8, United-States, <=50K
+24, Federal-gov, 42251, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+31, Private, 113838, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, <=50K
+28, Self-emp-not-inc, 282398, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+41, Private, 33331, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+23, Federal-gov, 41031, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+46, Private, 155489, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 43, United-States, >50K
+33, Private, 53042, 12th, 8, Never-married, Craft-repair, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+34, Private, 174789, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 50, United-States, <=50K
+47, Local-gov, 203067, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+81, Private, 177408, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2377, 26, United-States, >50K
+45, Private, 216626, HS-grad, 9, Widowed, Machine-op-inspct, Unmarried, Other, Male, 0, 0, 40, Columbia, <=50K
+35, Private, 93034, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, Cambodia, <=50K
+59, Self-emp-not-inc, 188003, Bachelors, 13, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, >50K
+46, Local-gov, 65535, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 48, United-States, >50K
+39, Private, 366757, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K
+23, Private, 414545, Some-college, 10, Never-married, Machine-op-inspct, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+25, Private, 295919, Assoc-acdm, 12, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+37, Private, 34378, 1st-4th, 2, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+49, Self-emp-inc, 58359, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K
+25, Private, 476334, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 48, United-States, <=50K
+32, Private, 255424, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K
+34, Local-gov, 175856, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 124692, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+33, Private, 118551, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+78, ?, 292019, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 20, United-States, <=50K
+31, Private, 288566, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 43, United-States, >50K
+61, Private, 137733, Some-college, 10, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K
+22, Private, 39432, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 138537, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Laos, <=50K
+37, Private, 709445, HS-grad, 9, Separated, Craft-repair, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K
+35, Private, 194809, 11th, 7, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+52, Self-emp-inc, 89041, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 60, United-States, >50K
+37, ?, 299090, HS-grad, 9, Divorced, ?, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+18, Private, 159561, 11th, 7, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+37, Private, 236328, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, <=50K
+46, Private, 269045, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 40, United-States, >50K
+25, ?, 196627, 11th, 7, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+47, Federal-gov, 323798, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+55, Private, 463072, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K
+32, Private, 199655, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, Other, Female, 0, 1740, 40, ?, <=50K
+25, Self-emp-inc, 98756, Some-college, 10, Divorced, Adm-clerical, Own-child, White, Female, 0, 0, 50, United-States, <=50K
+50, State-gov, 161075, HS-grad, 9, Widowed, Tech-support, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+18, Private, 192485, 12th, 8, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 20, United-States, <=50K
+25, Private, 201579, 9th, 5, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K
+23, Private, 117606, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+51, ?, 177487, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+47, Self-emp-not-inc, 237731, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 2829, 0, 65, United-States, <=50K
+37, Private, 60313, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 270059, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 25236, 0, 25, United-States, >50K
+27, Private, 169958, 5th-6th, 3, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, ?, <=50K
+19, Private, 240686, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+52, Local-gov, 124793, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+25, Self-emp-not-inc, 113948, Assoc-voc, 11, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 45, United-States, <=50K
+17, ?, 241021, 12th, 8, Never-married, ?, Own-child, Other, Female, 0, 0, 40, United-States, <=50K
+21, Private, 147655, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+41, Self-emp-not-inc, 38876, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K
+55, Private, 117299, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 40, United-States, >50K
+20, ?, 114813, 10th, 6, Separated, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+24, Private, 136310, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K
+41, Federal-gov, 153132, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 38, United-States, >50K
+23, Private, 197552, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+33, Private, 69748, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K
+29, Private, 175738, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, >50K
+50, State-gov, 78649, Some-college, 10, Married-spouse-absent, Adm-clerical, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K
+37, Self-emp-inc, 188774, 11th, 7, Married-spouse-absent, Sales, Not-in-family, White, Male, 0, 0, 60, ?, <=50K
+48, Private, 155659, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 40, United-States, >50K
+19, Federal-gov, 215891, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 10, United-States, <=50K
+40, Private, 144928, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 33688, HS-grad, 9, Never-married, Transport-moving, Unmarried, White, Female, 0, 1669, 70, United-States, <=50K
+65, Private, 262446, 11th, 7, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 20, United-States, <=50K
+44, Federal-gov, 191295, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 48, United-States, <=50K
+32, Private, 279173, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+41, Private, 153031, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 65, United-States, >50K
+28, Private, 202239, 7th-8th, 4, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, <=50K
+44, Federal-gov, 469454, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, White, Male, 7298, 0, 48, United-States, >50K
+39, Local-gov, 164156, Assoc-acdm, 12, Divorced, Other-service, Unmarried, White, Female, 0, 0, 55, United-States, <=50K
+59, Private, 196482, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+31, Private, 176185, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, France, >50K
+34, Private, 287315, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 117210, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 41610, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+52, Private, 160703, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 65, United-States, >50K
+31, Private, 80511, Assoc-acdm, 12, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 44, United-States, <=50K
+39, Private, 219155, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 43, United-States, <=50K
+35, Private, 106347, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K
+37, Self-emp-not-inc, 68899, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 2129, 40, United-States, <=50K
+44, Self-emp-not-inc, 163985, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 32, United-States, >50K
+28, Private, 270887, Assoc-acdm, 12, Never-married, Sales, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K
+17, Private, 205726, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+23, Private, 218899, Bachelors, 13, Never-married, Sales, Own-child, White, Female, 0, 0, 60, United-States, <=50K
+35, Private, 186183, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 15024, 0, 80, United-States, >50K
+19, Private, 248749, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+30, Private, 197558, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 176514, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+29, ?, 116820, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 50, United-States, <=50K
+27, Private, 128730, Assoc-voc, 11, Never-married, Exec-managerial, Not-in-family, White, Male, 10520, 0, 65, Greece, >50K
+37, Private, 215503, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 4386, 0, 45, United-States, >50K
+44, Private, 226129, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+34, Private, 175856, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 3103, 0, 55, United-States, >50K
+43, Private, 281138, HS-grad, 9, Separated, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+41, Private, 98061, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+34, Self-emp-not-inc, 260560, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+23, Private, 289909, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+51, Private, 59590, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 20, United-States, <=50K
+24, Private, 236769, Assoc-acdm, 12, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+38, Self-emp-not-inc, 423616, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 24, United-States, >50K
+24, Private, 291407, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+53, Self-emp-inc, 100029, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+33, Private, 204494, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 56, United-States, >50K
+24, Private, 201680, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+45, Private, 154308, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, United-States, >50K
+31, Private, 150324, 11th, 7, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+38, Local-gov, 331609, Some-college, 10, Widowed, Transport-moving, Not-in-family, Black, Female, 0, 0, 47, United-States, <=50K
+28, Private, 100829, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 50, United-States, >50K
+38, Private, 203169, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K
+25, Private, 122075, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+29, Private, 178778, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 276345, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+48, Private, 233511, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K
+24, Private, 289448, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K
+31, Private, 173350, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+36, Private, 130589, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+62, Private, 94318, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+25, Private, 297531, Bachelors, 13, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+55, Private, 129762, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+21, Private, 182614, Some-college, 10, Never-married, Sales, Other-relative, White, Female, 0, 0, 40, Poland, <=50K
+60, Private, 120067, 9th, 5, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 45, United-States, <=50K
+41, Private, 182370, Assoc-acdm, 12, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+43, State-gov, 60949, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 190511, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K
+47, Private, 188195, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+50, Private, 89534, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+41, Self-emp-inc, 125831, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 1887, 55, United-States, >50K
+23, Private, 183358, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Puerto-Rico, <=50K
+38, ?, 75024, 7th-8th, 4, Divorced, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+30, Private, 251120, Assoc-acdm, 12, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, England, <=50K
+35, Private, 108946, HS-grad, 9, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+25, Private, 93223, Some-college, 10, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 35, United-States, <=50K
+61, Private, 147393, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 20, United-States, <=50K
+71, ?, 45801, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 70, United-States, <=50K
+35, State-gov, 225385, HS-grad, 9, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+35, Federal-gov, 23892, HS-grad, 9, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+38, Private, 179668, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, Scotland, <=50K
+27, Self-emp-not-inc, 404998, Assoc-voc, 11, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+51, Private, 68882, 1st-4th, 2, Widowed, Other-service, Unmarried, White, Female, 0, 0, 35, Portugal, <=50K
+55, Self-emp-not-inc, 194065, Assoc-acdm, 12, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+45, Private, 357540, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 2002, 55, United-States, <=50K
+33, Private, 185336, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 40, United-States, <=50K
+25, State-gov, 152503, Some-college, 10, Never-married, Tech-support, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+52, Private, 167794, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 38, United-States, >50K
+46, Private, 96552, Some-college, 10, Divorced, Machine-op-inspct, Own-child, White, Female, 0, 0, 17, United-States, <=50K
+34, Private, 169527, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 4386, 0, 20, United-States, <=50K
+52, State-gov, 254285, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+47, Private, 32509, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+46, Private, 125492, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+36, Self-emp-inc, 186035, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K
+69, ?, 168794, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 48, United-States, <=50K
+34, Private, 191856, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 7298, 0, 40, United-States, >50K
+36, Private, 215503, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K
+31, Private, 187560, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 2174, 0, 40, United-States, <=50K
+31, Self-emp-not-inc, 252752, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 2415, 40, United-States, >50K
+38, Local-gov, 210991, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1740, 40, United-States, <=50K
+57, Local-gov, 190748, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 35, United-States, <=50K
+24, Private, 117767, Assoc-acdm, 12, Never-married, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+37, Private, 301070, HS-grad, 9, Divorced, Farming-fishing, Unmarried, White, Male, 0, 0, 45, United-States, <=50K
+69, Self-emp-not-inc, 204645, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 9386, 0, 72, United-States, >50K
+39, Private, 186183, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+38, Private, 131808, Assoc-voc, 11, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+34, State-gov, 156292, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+21, Private, 124589, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+21, Private, 262819, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+61, Private, 95500, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 241306, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, <=50K
+29, Private, 238680, Some-college, 10, Never-married, Sales, Not-in-family, Black, Male, 0, 0, 55, Outlying-US(Guam-USVI-etc), <=50K
+18, ?, 42293, 10th, 6, Never-married, ?, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+41, Local-gov, 168071, HS-grad, 9, Divorced, Exec-managerial, Own-child, White, Male, 0, 0, 45, United-States, <=50K
+42, Private, 337629, 12th, 8, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 60, ?, >50K
+52, Private, 168001, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, >50K
+38, Private, 97759, 12th, 8, Never-married, Other-service, Unmarried, White, Female, 0, 0, 17, United-States, <=50K
+51, Self-emp-not-inc, 107096, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K
+55, Private, 76860, HS-grad, 9, Married-civ-spouse, Other-service, Other-relative, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K
+20, Private, 70076, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+23, Private, 312017, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 174138, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+48, Private, 125892, Bachelors, 13, Divorced, Exec-managerial, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 210474, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+22, State-gov, 157332, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+28, Private, 30771, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+28, Private, 319768, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, France, >50K
+34, Private, 209101, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 5178, 0, 55, United-States, >50K
+25, Private, 324609, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+48, Private, 268234, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+32, Local-gov, 178109, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 43, United-States, <=50K
+31, Private, 25955, 9th, 5, Never-married, Craft-repair, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 35, United-States, <=50K
+65, ?, 123484, HS-grad, 9, Widowed, ?, Other-relative, White, Female, 0, 0, 25, United-States, <=50K
+56, Local-gov, 129762, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+22, Self-emp-not-inc, 108506, Assoc-voc, 11, Never-married, Farming-fishing, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 75, United-States, <=50K
+27, Private, 241607, Bachelors, 13, Never-married, Tech-support, Other-relative, White, Male, 0, 0, 50, United-States, <=50K
+27, Federal-gov, 214385, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+30, Local-gov, 183000, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K
+33, Private, 290763, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+50, Private, 171924, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 43, United-States, >50K
+19, Private, 97189, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 22, United-States, <=50K
+42, Private, 195096, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 4064, 0, 40, United-States, <=50K
+37, Federal-gov, 329088, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+26, Private, 58371, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+32, ?, 256371, 12th, 8, Never-married, ?, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+43, Private, 35824, Some-college, 10, Separated, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+47, Private, 173271, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+26, Private, 391349, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K
+24, Private, 86153, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+34, Private, 295855, 11th, 7, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 70, United-States, <=50K
+33, Self-emp-not-inc, 327902, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K
+35, Private, 285102, Masters, 14, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, Taiwan, >50K
+57, Private, 178353, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K
+45, Private, 28119, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 7, United-States, <=50K
+42, Private, 197522, Some-college, 10, Separated, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+25, Private, 108542, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+56, Private, 179781, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+25, Private, 126974, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 180060, Bachelors, 13, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 50, United-States, <=50K
+35, Local-gov, 38948, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 50, United-States, <=50K
+28, Private, 271572, 9th, 5, Never-married, Other-service, Other-relative, White, Male, 0, 0, 52, United-States, <=50K
+41, Private, 177305, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, >50K
+26, Private, 238367, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 172232, HS-grad, 9, Divorced, Other-service, Not-in-family, Black, Female, 0, 0, 30, United-States, <=50K
+22, Private, 153805, HS-grad, 9, Never-married, Other-service, Unmarried, Other, Male, 0, 0, 20, Puerto-Rico, <=50K
+30, Private, 26543, Bachelors, 13, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+42, Private, 109067, Bachelors, 13, Separated, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 213716, Assoc-voc, 11, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+49, Private, 149809, Preschool, 1, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, ?, <=50K
+27, Private, 185670, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K
+43, Federal-gov, 233851, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K
+68, ?, 192052, Some-college, 10, Married-civ-spouse, ?, Wife, White, Female, 0, 2457, 40, United-States, <=50K
+41, Private, 193524, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1485, 40, United-States, <=50K
+25, Private, 213385, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 38238, Bachelors, 13, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+68, Private, 104438, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, Ireland, >50K
+17, Private, 202344, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 25, United-States, <=50K
+45, Self-emp-not-inc, 43434, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+45, Private, 102147, Assoc-voc, 11, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+30, Private, 231826, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+49, State-gov, 247378, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+42, Private, 78765, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 3103, 0, 45, United-States, >50K
+29, Private, 184078, HS-grad, 9, Never-married, Other-service, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+21, Local-gov, 102942, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 2001, 40, United-States, <=50K
+20, Private, 258430, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 19, United-States, <=50K
+59, Private, 244554, 11th, 7, Divorced, Other-service, Not-in-family, Black, Female, 0, 0, 35, United-States, <=50K
+26, Private, 252565, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K
+25, Private, 262778, Masters, 14, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 37, United-States, <=50K
+33, Private, 162572, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 55, United-States, >50K
+35, Private, 65706, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+45, Federal-gov, 102569, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+66, Private, 350498, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 28, United-States, <=50K
+67, ?, 159542, 5th-6th, 3, Widowed, ?, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+33, Private, 142383, Assoc-acdm, 12, Never-married, Sales, Not-in-family, Other, Male, 0, 0, 36, United-States, <=50K
+38, Private, 229236, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Other, Male, 0, 0, 40, Puerto-Rico, <=50K
+72, Private, 56559, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 12, United-States, <=50K
+21, Private, 27049, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 12, United-States, <=50K
+39, Private, 36376, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K
+41, Private, 194360, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1887, 40, United-States, >50K
+22, Private, 246965, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 12, United-States, <=50K
+49, Self-emp-inc, 191277, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K
+24, Private, 268525, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 32, United-States, <=50K
+25, Private, 456604, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 223464, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+50, Private, 341797, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 174461, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+41, Private, 392167, 10th, 6, Divorced, Sales, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K
+60, Private, 210064, HS-grad, 9, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+67, ?, 233182, HS-grad, 9, Divorced, ?, Not-in-family, White, Female, 0, 0, 7, United-States, <=50K
+77, Local-gov, 177550, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 3818, 0, 14, United-States, <=50K
+62, Private, 143312, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K
+22, Private, 326334, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+37, Private, 179088, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+17, Private, 207637, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 10, United-States, <=50K
+52, Federal-gov, 37289, Masters, 14, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, >50K
+31, Private, 36069, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+23, Federal-gov, 53245, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+27, Self-emp-inc, 399904, HS-grad, 9, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 50, Mexico, <=50K
+38, Self-emp-inc, 199346, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 45, United-States, <=50K
+23, Private, 343019, 10th, 6, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+22, State-gov, 232742, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+61, Self-emp-not-inc, 390472, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K
+55, Private, 290124, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+23, Private, 242912, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 4650, 0, 40, United-States, <=50K
+39, Private, 70240, 5th-6th, 3, Married-spouse-absent, Other-service, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K
+38, Local-gov, 286405, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 50, United-States, >50K
+25, Private, 153841, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+25, Private, 137367, Bachelors, 13, Never-married, Sales, Unmarried, Asian-Pac-Islander, Male, 0, 0, 44, Philippines, <=50K
+66, Private, 313255, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 24, United-States, <=50K
+30, Private, 100734, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K
+32, Private, 248584, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+43, Private, 60001, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+18, Private, 335065, 7th-8th, 4, Never-married, Sales, Own-child, White, Male, 0, 0, 30, Mexico, <=50K
+20, Private, 219262, 11th, 7, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+20, Private, 186830, HS-grad, 9, Never-married, Transport-moving, Other-relative, Black, Male, 0, 0, 45, United-States, <=50K
+34, Private, 226385, Masters, 14, Divorced, Exec-managerial, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+33, Private, 609789, Assoc-acdm, 12, Married-spouse-absent, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 307767, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K
+33, Private, 217460, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K
+30, Private, 104052, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 1741, 42, United-States, <=50K
+41, Local-gov, 160893, Preschool, 1, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+20, Private, 68358, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 12, United-States, <=50K
+40, Self-emp-not-inc, 243636, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+44, Self-emp-not-inc, 71269, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+50, Private, 71898, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Wife, Asian-Pac-Islander, Female, 0, 0, 35, Philippines, <=50K
+38, ?, 212048, Prof-school, 15, Divorced, ?, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+30, Local-gov, 115040, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Other-relative, White, Male, 0, 0, 25, United-States, <=50K
+45, Private, 111994, Some-college, 10, Divorced, Sales, Not-in-family, White, Male, 4650, 0, 40, United-States, <=50K
+25, Private, 210794, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+22, ?, 88126, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 570821, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+63, ?, 146196, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+55, State-gov, 169482, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, >50K
+26, Private, 63577, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+22, Private, 208946, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+41, Self-emp-not-inc, 26598, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 189203, Assoc-voc, 11, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+39, Private, 183892, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+82, ?, 194590, Assoc-voc, 11, Widowed, ?, Not-in-family, White, Female, 0, 0, 8, United-States, <=50K
+18, Private, 188616, 11th, 7, Never-married, Sales, Own-child, White, Male, 0, 0, 15, United-States, <=50K
+60, Private, 116707, 11th, 7, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 99199, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+39, Local-gov, 183620, Some-college, 10, Never-married, Protective-serv, Not-in-family, Black, Female, 0, 0, 40, United-States, >50K
+34, Private, 110476, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+50, Local-gov, 157043, Masters, 14, Divorced, Prof-specialty, Not-in-family, Black, Female, 2202, 0, 30, ?, <=50K
+53, Private, 150726, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+27, Private, 214695, HS-grad, 9, Never-married, Sales, Own-child, Black, Male, 0, 0, 60, United-States, <=50K
+37, Private, 172694, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 50, United-States, <=50K
+25, Private, 344804, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 50, Mexico, <=50K
+33, Private, 319422, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, Peru, <=50K
+34, State-gov, 327902, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, <=50K
+35, Private, 438176, Assoc-voc, 11, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 65, United-States, <=50K
+51, Private, 197656, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+33, Private, 219838, 10th, 6, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K
+57, Self-emp-not-inc, 35561, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, >50K
+25, ?, 156848, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+56, Private, 190257, 7th-8th, 4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 156464, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 85, England, >50K
+36, Private, 65624, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+46, Private, 201699, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+55, Private, 349910, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 45, United-States, >50K
+88, Self-emp-not-inc, 187097, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+60, Self-emp-not-inc, 264314, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 35, Columbia, <=50K
+40, Self-emp-not-inc, 282678, Masters, 14, Separated, Exec-managerial, Unmarried, White, Female, 0, 0, 20, United-States, <=50K
+21, Private, 188923, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 55, United-States, <=50K
+46, Private, 114797, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female, 0, 0, 36, United-States, <=50K
+56, Private, 245215, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K
+36, Self-emp-not-inc, 36270, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+67, Self-emp-not-inc, 107138, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 77820, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K
+20, Private, 39477, Some-college, 10, Never-married, Farming-fishing, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+34, Private, 58305, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1573, 40, United-States, <=50K
+23, Private, 359759, HS-grad, 9, Never-married, Craft-repair, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K
+19, ?, 249147, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+19, Private, 44797, Some-college, 10, Never-married, Farming-fishing, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K
+25, Private, 164488, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+53, Private, 48413, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+18, ?, 261276, Some-college, 10, Never-married, ?, Own-child, Black, Female, 0, 1602, 40, Cambodia, <=50K
+31, Self-emp-not-inc, 36592, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 91, United-States, <=50K
+33, Private, 280923, 7th-8th, 4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+33, Federal-gov, 29617, Some-college, 10, Divorced, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+45, Self-emp-inc, 208802, Prof-school, 15, Divorced, Prof-specialty, Unmarried, White, Male, 25236, 0, 36, United-States, >50K
+35, Private, 189240, Some-college, 10, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+20, ?, 37932, HS-grad, 9, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 181705, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 147548, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 85, United-States, <=50K
+51, Self-emp-not-inc, 306784, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 30, United-States, <=50K
+45, ?, 260953, Masters, 14, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+45, State-gov, 190406, Prof-school, 15, Divorced, Prof-specialty, Unmarried, Black, Male, 25236, 0, 36, United-States, >50K
+24, Private, 230229, 5th-6th, 3, Never-married, Machine-op-inspct, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K
+28, Private, 46987, Assoc-voc, 11, Never-married, Tech-support, Own-child, White, Female, 2174, 0, 36, United-States, <=50K
+63, Private, 301108, 11th, 7, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 22, United-States, <=50K
+35, Private, 263081, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 60, United-States, >50K
+25, Self-emp-not-inc, 37741, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K
+36, Private, 115834, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Wife, White, Female, 7298, 0, 55, United-States, >50K
+44, Private, 150076, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+49, Self-emp-not-inc, 148254, HS-grad, 9, Divorced, Farming-fishing, Not-in-family, White, Female, 0, 0, 28, United-States, <=50K
+52, Private, 183611, 1st-4th, 2, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 258768, Bachelors, 13, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+35, Private, 287658, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K
+51, Private, 95946, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+49, Private, 31267, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+35, Local-gov, 302149, Bachelors, 13, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 7298, 0, 40, Philippines, >50K
+28, Private, 250135, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+37, Private, 176073, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+65, Private, 23580, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+24, Private, 163665, Bachelors, 13, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+30, Federal-gov, 43953, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+38, Private, 144860, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 65, United-States, <=50K
+58, Self-emp-not-inc, 61474, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K
+57, Private, 141570, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 1977, 40, United-States, >50K
+40, Private, 225660, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 45, United-States, >50K
+42, Private, 336891, Some-college, 10, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+31, Self-emp-not-inc, 210164, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+17, Private, 171080, 12th, 8, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+42, Private, 143342, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+25, Private, 281627, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+40, Private, 409922, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 40, United-States, >50K
+65, ?, 224472, Prof-school, 15, Never-married, ?, Not-in-family, White, Male, 25124, 0, 80, United-States, >50K
+29, Private, 157262, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+31, Private, 144949, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+71, Local-gov, 303860, Masters, 14, Widowed, Exec-managerial, Not-in-family, White, Male, 2050, 0, 20, United-States, <=50K
+34, Private, 104293, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+25, Private, 195481, HS-grad, 9, Married-civ-spouse, Adm-clerical, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 193995, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 30, United-States, <=50K
+67, Private, 105216, Some-college, 10, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K
+40, Private, 147206, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+18, Private, 173585, HS-grad, 9, Never-married, Sales, Own-child, Black, Female, 0, 0, 18, United-States, <=50K
+38, Private, 187870, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 50, United-States, >50K
+38, Private, 248919, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Guatemala, <=50K
+42, Private, 280410, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, Haiti, <=50K
+36, State-gov, 170861, HS-grad, 9, Separated, Other-service, Own-child, White, Female, 0, 0, 32, United-States, <=50K
+23, Self-emp-not-inc, 409230, 1st-4th, 2, Married-civ-spouse, Sales, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+56, Private, 340171, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+36, Private, 41017, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 52, United-States, >50K
+22, Private, 416356, Some-college, 10, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+39, Private, 261504, 12th, 8, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+36, State-gov, 205555, Prof-school, 15, Divorced, Prof-specialty, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K
+44, Private, 245317, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 56, United-States, >50K
+38, Private, 153685, 11th, 7, Divorced, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 52, United-States, <=50K
+19, ?, 169758, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 99374, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 55, United-States, <=50K
+57, Local-gov, 139452, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 16, United-States, <=50K
+54, Private, 227832, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+18, Self-emp-not-inc, 213024, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+22, ?, 24008, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 72, United-States, <=50K
+63, Self-emp-not-inc, 33487, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+38, Self-emp-inc, 187934, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 20, Poland, <=50K
+26, Private, 421561, 11th, 7, Married-civ-spouse, Other-service, Other-relative, White, Male, 0, 0, 25, United-States, <=50K
+40, Private, 109969, 11th, 7, Divorced, Other-service, Other-relative, White, Female, 0, 0, 20, United-States, <=50K
+20, Private, 116830, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+39, Private, 117166, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 2635, 0, 40, United-States, <=50K
+28, Private, 106951, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K
+30, Private, 89625, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female, 0, 0, 5, United-States, >50K
+42, Private, 194537, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+42, Private, 144002, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+21, Private, 202214, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+40, Private, 109762, Some-college, 10, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 292570, 11th, 7, Never-married, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+67, Private, 105252, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Male, 7978, 0, 35, United-States, <=50K
+65, Private, 94552, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+50, Local-gov, 46401, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 50, United-States, <=50K
+18, Private, 151150, 10th, 6, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 27, United-States, <=50K
+31, Private, 197689, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 38, United-States, <=50K
+36, Self-emp-inc, 180477, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+20, Private, 181761, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+34, Private, 381153, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 165474, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 39, United-States, <=50K
+38, Federal-gov, 190174, HS-grad, 9, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+17, Private, 295991, 10th, 6, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+52, Without-pay, 198262, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 30, United-States, <=50K
+34, Private, 190385, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, >50K
+30, ?, 411560, HS-grad, 9, Married-civ-spouse, ?, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+49, Private, 262116, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 48, United-States, <=50K
+45, Private, 178922, 9th, 5, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K
+46, Private, 192963, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 2415, 35, Philippines, >50K
+34, Self-emp-inc, 209538, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+21, Self-emp-not-inc, 103277, 12th, 8, Married-civ-spouse, Adm-clerical, Wife, White, Female, 4508, 0, 30, Portugal, <=50K
+17, Private, 216086, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+23, Private, 636017, Some-college, 10, Never-married, Other-service, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+32, Private, 155781, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 136873, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+48, State-gov, 122066, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 35, United-States, >50K
+27, State-gov, 346406, Bachelors, 13, Never-married, Prof-specialty, Unmarried, White, Male, 0, 0, 50, United-States, <=50K
+43, Private, 117915, Masters, 14, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+44, Private, 19914, HS-grad, 9, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female, 0, 0, 50, Philippines, <=50K
+55, Private, 255364, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K
+31, Private, 703107, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+34, Private, 62374, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K
+34, Private, 96245, HS-grad, 9, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 348796, Bachelors, 13, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 136873, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 10, United-States, <=50K
+35, Private, 388252, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+28, Private, 47783, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+62, Private, 194167, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Female, 2174, 0, 40, United-States, <=50K
+40, Federal-gov, 544792, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 434463, Bachelors, 13, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 39, United-States, <=50K
+32, Private, 317219, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 1590, 40, United-States, <=50K
+70, Private, 221603, Some-college, 10, Widowed, Sales, Not-in-family, White, Female, 0, 0, 34, United-States, <=50K
+23, Private, 233711, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 50, United-States, <=50K
+30, Private, 111567, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 48, United-States, <=50K
+57, Private, 79830, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K
+34, Self-emp-not-inc, 192259, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, >50K
+24, Private, 239663, 10th, 6, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+41, Local-gov, 34987, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, >50K
+38, Self-emp-not-inc, 409189, 7th-8th, 4, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+48, Private, 135525, Assoc-acdm, 12, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+43, Private, 152159, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+18, Private, 141363, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+35, Private, 214816, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+42, Private, 42907, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Male, 0, 0, 48, United-States, <=50K
+30, Private, 161815, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 35, United-States, <=50K
+42, Private, 127314, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 45, United-States, >50K
+48, Private, 395368, Some-college, 10, Divorced, Handlers-cleaners, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K
+70, Private, 184176, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 28, United-States, <=50K
+37, Private, 112660, 9th, 5, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+51, Private, 183709, Assoc-voc, 11, Separated, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+35, Private, 434114, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+59, Self-emp-not-inc, 165315, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 43, United-States, >50K
+57, Private, 190997, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+26, Private, 335533, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+26, Private, 176146, 5th-6th, 3, Separated, Craft-repair, Not-in-family, Other, Male, 0, 0, 35, Mexico, <=50K
+19, Private, 272063, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+34, Private, 169564, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+56, Private, 188856, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 8614, 0, 55, United-States, >50K
+25, Private, 69847, Bachelors, 13, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K
+46, Self-emp-not-inc, 198759, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2415, 80, United-States, >50K
+22, Private, 175431, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 20, United-States, <=50K
+32, Private, 228357, Assoc-voc, 11, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, ?, <=50K
+72, Self-emp-not-inc, 284120, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 109133, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 167336, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 45, United-States, >50K
+76, ?, 42209, 9th, 5, Widowed, ?, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K
+37, Private, 282951, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+42, Private, 303155, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+44, Private, 261899, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 44, United-States, <=50K
+33, Private, 168030, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, White, Female, 7298, 0, 21, United-States, >50K
+53, State-gov, 71417, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 239130, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+69, Private, 200560, Bachelors, 13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 20, United-States, <=50K
+20, Private, 157541, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 27, United-States, <=50K
+33, Private, 255004, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+47, Private, 230136, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 60, United-States, >50K
+50, Local-gov, 124963, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1977, 35, United-States, >50K
+22, Private, 39615, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+20, Private, 47678, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+42, Local-gov, 281315, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+23, Private, 176123, HS-grad, 9, Never-married, Tech-support, Other-relative, Asian-Pac-Islander, Male, 0, 0, 40, Vietnam, <=50K
+24, ?, 165350, HS-grad, 9, Separated, ?, Not-in-family, Black, Male, 0, 0, 50, Germany, <=50K
+32, Private, 235862, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+41, Private, 142579, Bachelors, 13, Widowed, Sales, Unmarried, Black, Male, 0, 0, 50, United-States, <=50K
+35, Private, 38294, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 111483, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+25, Private, 189850, Some-college, 10, Never-married, Machine-op-inspct, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+34, State-gov, 145874, Doctorate, 16, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male, 0, 0, 20, China, <=50K
+23, Private, 139012, Assoc-voc, 11, Never-married, Transport-moving, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, South, <=50K
+30, Local-gov, 211654, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+55, Local-gov, 173090, Masters, 14, Widowed, Prof-specialty, Unmarried, White, Female, 0, 0, 45, United-States, <=50K
+26, Private, 104834, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 1669, 40, United-States, <=50K
+42, ?, 195124, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 60, Dominican-Republic, <=50K
+39, Private, 32146, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+52, Private, 282674, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, >50K
+42, Private, 190403, Some-college, 10, Separated, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, Canada, <=50K
+25, Private, 247025, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 3325, 0, 48, United-States, <=50K
+27, Private, 198258, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+30, Self-emp-not-inc, 172748, 7th-8th, 4, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+23, State-gov, 287988, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 10520, 0, 40, United-States, >50K
+47, Self-emp-not-inc, 122307, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1887, 40, United-States, >50K
+58, ?, 175017, Bachelors, 13, Divorced, ?, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K
+18, Private, 170183, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+52, Private, 150812, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 35, United-States, <=50K
+24, Private, 241185, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K
+58, Self-emp-inc, 174864, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K
+35, Private, 30529, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 301637, Assoc-voc, 11, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+46, Private, 423222, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 3103, 0, 60, United-States, >50K
+43, Private, 214781, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 5178, 0, 40, United-States, >50K
+21, Private, 242912, HS-grad, 9, Never-married, Other-service, Other-relative, White, Female, 0, 0, 35, United-States, <=50K
+52, Private, 191529, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1740, 60, United-States, <=50K
+24, Private, 117363, Bachelors, 13, Never-married, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+22, Private, 333158, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K
+39, Private, 193260, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 25, Mexico, <=50K
+34, State-gov, 278378, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+58, Private, 111394, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+26, Private, 102476, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 25, United-States, <=50K
+29, Private, 26451, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K
+67, ?, 209137, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 210945, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 35, Haiti, <=50K
+62, Local-gov, 115023, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+54, Private, 53833, 5th-6th, 3, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K
+36, Private, 150057, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 65, United-States, <=50K
+18, Private, 128086, 12th, 8, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 18, United-States, <=50K
+25, Private, 28473, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+48, Private, 155509, Some-college, 10, Never-married, Craft-repair, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+56, Private, 165315, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 70, ?, <=50K
+30, Private, 171889, Prof-school, 15, Never-married, Tech-support, Own-child, White, Female, 0, 0, 24, United-States, <=50K
+41, Local-gov, 185057, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+59, Private, 277034, HS-grad, 9, Divorced, Tech-support, Unmarried, White, Male, 0, 0, 60, United-States, >50K
+36, Private, 166606, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 97453, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 54, United-States, <=50K
+27, Private, 136094, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+19, ?, 61855, HS-grad, 9, Never-married, ?, Other-relative, White, Female, 0, 0, 30, United-States, <=50K
+30, Private, 182771, Bachelors, 13, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 15, China, <=50K
+47, Private, 418961, Assoc-voc, 11, Divorced, Sales, Unmarried, Black, Female, 0, 0, 25, United-States, <=50K
+39, Private, 106961, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+31, Private, 81846, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K
+44, Private, 105936, Assoc-acdm, 12, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+37, Private, 36425, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+28, Private, 595088, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 63, United-States, <=50K
+38, Private, 149018, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 229613, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+44, Private, 33521, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+40, Private, 70539, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 4386, 0, 50, United-States, <=50K
+53, State-gov, 105728, HS-grad, 9, Married-civ-spouse, Other-service, Wife, Amer-Indian-Eskimo, Female, 0, 0, 28, United-States, >50K
+31, Private, 193215, Some-college, 10, Married-civ-spouse, Exec-managerial, Own-child, White, Male, 0, 0, 50, United-States, <=50K
+18, Private, 137363, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+43, Self-emp-inc, 104892, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 45, United-States, <=50K
+30, Private, 149427, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+19, State-gov, 176634, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+36, Private, 183279, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+19, ?, 225775, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 202091, Masters, 14, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 60, United-States, <=50K
+36, Private, 123151, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K
+22, Private, 168187, Some-college, 10, Never-married, Other-service, Unmarried, White, Female, 0, 0, 50, United-States, <=50K
+42, Federal-gov, 33521, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+33, State-gov, 243678, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+38, Private, 164898, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+21, ?, 262280, Some-college, 10, Married-civ-spouse, ?, Wife, White, Female, 3781, 0, 40, United-States, <=50K
+33, State-gov, 290614, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+52, Self-emp-not-inc, 199265, HS-grad, 9, Divorced, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+30, Private, 207668, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+18, State-gov, 30687, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 10, United-States, <=50K
+24, State-gov, 27939, Some-college, 10, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 24, ?, <=50K
+17, Private, 438996, 10th, 6, Never-married, Other-service, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K
+48, Private, 152915, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+66, ?, 186030, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 32, United-States, <=50K
+46, Local-gov, 297759, Some-college, 10, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+55, Private, 171242, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, United-States, >50K
+28, Private, 206088, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+33, Private, 182792, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+44, Private, 167725, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 24, United-States, <=50K
+43, Private, 160674, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+42, Private, 194710, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+39, Private, 255027, Assoc-voc, 11, Divorced, Exec-managerial, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+23, Private, 204641, 10th, 6, Never-married, Handlers-cleaners, Unmarried, White, Male, 0, 0, 50, United-States, <=50K
+20, State-gov, 177787, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+29, Private, 54932, Some-college, 10, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 35, United-States, >50K
+54, Self-emp-not-inc, 91506, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 65, United-States, <=50K
+34, Private, 198634, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+30, Private, 227146, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+59, Private, 135647, 11th, 7, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K
+40, Private, 55508, 7th-8th, 4, Divorced, Farming-fishing, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+37, Private, 174912, HS-grad, 9, Separated, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+45, Private, 175925, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+55, Self-emp-not-inc, 157486, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 40, United-States, >50K
+49, Local-gov, 329144, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 44, United-States, >50K
+67, ?, 81761, Masters, 14, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 2, United-States, <=50K
+49, Self-emp-not-inc, 102318, Assoc-acdm, 12, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K
+30, Federal-gov, 266463, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+56, Federal-gov, 107314, Some-college, 10, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+29, Private, 114158, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+33, Private, 124052, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 144301, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 42, United-States, <=50K
+28, Private, 176683, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 70, United-States, >50K
+23, Private, 234663, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+39, Self-emp-not-inc, 178948, HS-grad, 9, Married-civ-spouse, Farming-fishing, Wife, White, Female, 0, 0, 50, United-States, <=50K
+37, Self-emp-not-inc, 607848, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K
+39, Private, 202937, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, >50K
+32, Federal-gov, 83413, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 35, United-States, >50K
+26, Private, 212798, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+57, Federal-gov, 192258, Some-college, 10, Divorced, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 112497, 9th, 5, Married-civ-spouse, Sales, Own-child, White, Male, 0, 0, 50, United-States, >50K
+30, Private, 97521, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+27, Private, 160972, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+21, Private, 322931, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K
+22, Private, 403519, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+43, Local-gov, 330174, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 278155, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 39054, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 65, United-States, >50K
+57, Private, 170287, Masters, 14, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K
+42, Private, 336643, Assoc-voc, 11, Separated, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+29, Private, 264166, Assoc-voc, 11, Divorced, Other-service, Unmarried, White, Female, 0, 0, 45, Columbia, <=50K
+44, Local-gov, 433705, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 52, United-States, >50K
+28, Private, 27044, Assoc-acdm, 12, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 43, United-States, <=50K
+42, Private, 165599, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K
+26, Private, 159759, Bachelors, 13, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 385092, Some-college, 10, Divorced, Prof-specialty, Own-child, White, Female, 0, 0, 36, United-States, <=50K
+42, Private, 188808, Bachelors, 13, Divorced, Adm-clerical, Unmarried, White, Male, 0, 0, 30, United-States, <=50K
+30, Private, 167476, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K
+21, State-gov, 194096, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 10, United-States, <=50K
+59, Private, 182460, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 30, United-States, >50K
+21, ?, 102323, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+56, Private, 232139, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+39, Private, 341741, Preschool, 1, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 12, United-States, <=50K
+21, Private, 206008, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Male, 0, 0, 50, United-States, <=50K
+48, Private, 344415, Bachelors, 13, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male, 0, 0, 37, United-States, >50K
+35, State-gov, 372130, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+43, Private, 27766, Bachelors, 13, Separated, Exec-managerial, Unmarried, White, Male, 0, 0, 60, United-States, >50K
+23, Private, 140764, Assoc-voc, 11, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+17, ?, 161259, 10th, 6, Never-married, ?, Other-relative, White, Male, 0, 0, 12, United-States, <=50K
+41, Private, 22201, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Japan, >50K
+35, Self-emp-inc, 187046, Masters, 14, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, <=50K
+22, Private, 137591, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+53, Private, 274276, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+42, Private, 341757, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+36, Private, 218542, HS-grad, 9, Separated, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+44, Local-gov, 190020, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K
+27, Private, 221436, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, Cuba, >50K
+39, Self-emp-not-inc, 52187, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+59, Private, 158776, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+34, Local-gov, 51543, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K
+17, Private, 146329, 12th, 8, Never-married, Sales, Own-child, White, Female, 0, 0, 23, United-States, <=50K
+31, Private, 397467, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+59, Private, 105592, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 12, United-States, <=50K
+39, Private, 78171, Some-college, 10, Married-spouse-absent, Adm-clerical, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K
+46, State-gov, 55377, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 40, United-States, >50K
+31, Private, 258932, HS-grad, 9, Married-spouse-absent, Other-service, Not-in-family, White, Female, 0, 0, 80, Italy, <=50K
+27, Private, 38606, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 1504, 45, United-States, <=50K
+18, Private, 219841, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 12, United-States, <=50K
+46, Private, 156926, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K
+55, Private, 160362, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+48, Private, 192161, Bachelors, 13, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 43, United-States, <=50K
+53, Private, 208570, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 26, United-States, <=50K
+44, Self-emp-not-inc, 182771, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 48, South, >50K
+43, Private, 151089, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K
+50, Private, 163002, HS-grad, 9, Separated, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+56, Private, 155657, 7th-8th, 4, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 20, Yugoslavia, <=50K
+27, Private, 217530, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+20, Private, 244406, HS-grad, 9, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+18, Local-gov, 152182, 10th, 6, Never-married, Protective-serv, Own-child, White, Female, 0, 0, 6, United-States, <=50K
+34, Private, 55717, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1848, 50, United-States, >50K
+38, Private, 201454, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+40, Self-emp-inc, 144371, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 15, United-States, <=50K
+55, Private, 277034, Some-college, 10, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+35, Self-emp-not-inc, 462832, HS-grad, 9, Married-civ-spouse, Craft-repair, Wife, Black, Female, 0, 0, 40, United-States, >50K
+26, Private, 200681, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+54, State-gov, 119565, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, Puerto-Rico, >50K
+22, Private, 192017, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+52, Local-gov, 84808, HS-grad, 9, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+33, Private, 100154, 10th, 6, Separated, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+42, Private, 169383, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+19, Without-pay, 43887, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 10, United-States, <=50K
+45, Private, 54260, Some-college, 10, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 99, United-States, <=50K
+53, Self-emp-not-inc, 159876, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 3103, 0, 72, United-States, <=50K
+46, Private, 160474, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 1590, 43, United-States, <=50K
+25, Private, 476334, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+90, Private, 52386, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K
+33, Private, 83671, HS-grad, 9, Never-married, Sales, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+45, Private, 172960, Some-college, 10, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K
+47, Private, 191957, HS-grad, 9, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 40, United-States, >50K
+38, Local-gov, 40955, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 43, United-States, <=50K
+35, ?, 98080, Prof-school, 15, Never-married, ?, Not-in-family, Asian-Pac-Islander, Male, 4787, 0, 45, Japan, >50K
+37, Private, 175643, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 30, United-States, <=50K
+53, State-gov, 197184, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 70, United-States, >50K
+56, Private, 187295, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+18, Private, 40822, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 15, United-States, <=50K
+44, Private, 228729, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, ?, <=50K
+50, Private, 240496, Some-college, 10, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K
+26, Private, 51961, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, Black, Male, 0, 0, 20, United-States, <=50K
+36, Private, 174887, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+37, Private, 95855, 11th, 7, Divorced, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+32, Private, 362259, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+38, Self-emp-not-inc, 30916, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K
+62, Private, 153148, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 84, United-States, <=50K
+46, Private, 167915, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+41, Private, 45156, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 2174, 0, 41, United-States, <=50K
+37, Private, 98776, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 15, United-States, <=50K
+27, Private, 209801, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 45, ?, <=50K
+38, Private, 183800, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 54595, 12th, 8, Never-married, Sales, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+34, Private, 79637, Bachelors, 13, Never-married, Exec-managerial, Own-child, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K
+50, Private, 126566, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+28, Private, 233796, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 7298, 0, 32, United-States, >50K
+67, Local-gov, 191800, Bachelors, 13, Divorced, Adm-clerical, Unmarried, Black, Female, 6360, 0, 35, United-States, <=50K
+34, Self-emp-not-inc, 527162, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 30, United-States, <=50K
+19, Private, 139466, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+23, Private, 64520, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+50, Private, 97741, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, >50K
+45, Local-gov, 160173, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 50, United-States, >50K
+17, Private, 350995, 12th, 8, Never-married, Other-service, Own-child, White, Male, 0, 0, 16, United-States, <=50K
+59, ?, 182836, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 40, United-States, >50K
+25, Private, 143267, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K
+21, Private, 346341, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+50, Private, 172175, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+17, Private, 153035, 10th, 6, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+63, Private, 200127, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+31, Local-gov, 204470, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 43, United-States, <=50K
+45, Private, 353012, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 194342, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 57898, 12th, 8, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 164707, Some-college, 10, Never-married, Sales, Other-relative, White, Female, 0, 0, 40, ?, <=50K
+42, Private, 269028, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, France, <=50K
+56, Private, 83922, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+47, Private, 160647, HS-grad, 9, Never-married, Farming-fishing, Unmarried, White, Female, 0, 0, 46, United-States, <=50K
+69, Private, 125437, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K
+42, Private, 246011, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 55, United-States, <=50K
+19, Private, 216937, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, Other, Female, 0, 0, 60, Guatemala, <=50K
+56, Self-emp-not-inc, 66356, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K
+33, Private, 154981, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 1902, 50, United-States, >50K
+61, Federal-gov, 197311, Masters, 14, Widowed, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+38, Private, 301743, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+50, Self-emp-not-inc, 401118, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 99999, 0, 50, United-States, >50K
+39, Private, 98776, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, >50K
+35, Self-emp-not-inc, 32528, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K
+27, Private, 177119, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 44, United-States, <=50K
+40, Self-emp-inc, 193524, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, >50K
+59, State-gov, 192258, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+20, ?, 145917, Some-college, 10, Never-married, ?, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K
+42, Federal-gov, 214838, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 30, United-States, >50K
+59, Private, 176011, Some-college, 10, Separated, Adm-clerical, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+54, Self-emp-inc, 147239, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K
+38, Private, 159179, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 50, United-States, >50K
+53, Private, 155963, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 30, United-States, <=50K
+20, Private, 360457, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+54, Federal-gov, 114674, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+41, Self-emp-not-inc, 95708, Masters, 14, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 45, United-States, >50K
+33, Local-gov, 100734, HS-grad, 9, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K
+35, Private, 188972, HS-grad, 9, Widowed, Exec-managerial, Unmarried, White, Female, 0, 0, 30, United-States, <=50K
+22, Private, 162667, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 50, Portugal, <=50K
+45, Self-emp-not-inc, 28497, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 1485, 70, United-States, >50K
+29, Private, 180758, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+56, Self-emp-not-inc, 346635, Masters, 14, Divorced, Sales, Unmarried, White, Female, 0, 2339, 60, United-States, <=50K
+23, Private, 46645, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K
+30, Private, 203258, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+17, Private, 134480, 11th, 7, Never-married, Priv-house-serv, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+35, Local-gov, 85548, Some-college, 10, Separated, Adm-clerical, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K
+25, Private, 195994, 1st-4th, 2, Never-married, Priv-house-serv, Not-in-family, White, Female, 0, 0, 40, Guatemala, <=50K
+42, State-gov, 148316, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K
+42, Private, 227466, HS-grad, 9, Never-married, Other-service, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K
+19, Private, 68552, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+32, Private, 252257, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+44, Private, 30126, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+53, Private, 304353, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 36, United-States, >50K
+47, Self-emp-not-inc, 171968, Bachelors, 13, Widowed, Exec-managerial, Unmarried, Asian-Pac-Islander, Female, 0, 0, 60, Thailand, <=50K
+24, Private, 205839, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+30, State-gov, 218640, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, Black, Female, 0, 0, 40, United-States, >50K
+42, Private, 150568, HS-grad, 9, Separated, Sales, Unmarried, White, Female, 0, 0, 45, United-States, <=50K
+19, Private, 382738, HS-grad, 9, Never-married, Other-service, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+37, Self-emp-not-inc, 138940, 11th, 7, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 37, United-States, <=50K
+26, Self-emp-not-inc, 258306, 10th, 6, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 99, United-States, <=50K
+25, Local-gov, 190107, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 1719, 16, United-States, <=50K
+52, Private, 152373, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+50, Local-gov, 141875, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 79586, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 99999, 0, 40, ?, >50K
+32, Private, 157289, HS-grad, 9, Married-spouse-absent, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 184498, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+42, Local-gov, 109684, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 1741, 35, United-States, <=50K
+47, Private, 199832, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+47, Private, 23545, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 175710, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K
+27, Private, 52028, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, Asian-Pac-Islander, Female, 0, 0, 40, South, <=50K
+61, Self-emp-not-inc, 315977, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+47, Private, 202322, 5th-6th, 3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+30, Private, 251825, Assoc-acdm, 12, Never-married, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+54, Private, 202115, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, United-States, >50K
+56, Local-gov, 216824, Prof-school, 15, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, >50K
+69, Private, 145656, Some-college, 10, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K
+30, Private, 137076, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K
+36, Private, 152621, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Canada, >50K
+42, Self-emp-not-inc, 27242, 11th, 7, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K
+45, Federal-gov, 358242, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K
+39, Private, 184117, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 7688, 0, 20, United-States, >50K
+26, Private, 300290, 11th, 7, Divorced, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+28, Local-gov, 149991, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 42, United-States, >50K
+31, Private, 189759, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+32, Private, 339482, 5th-6th, 3, Separated, Farming-fishing, Other-relative, White, Male, 0, 0, 60, Mexico, <=50K
+51, Private, 100933, HS-grad, 9, Never-married, Exec-managerial, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+29, Private, 354558, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K
+38, Local-gov, 162613, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 2258, 60, United-States, <=50K
+64, Private, 285052, Some-college, 10, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 10, United-States, <=50K
+26, State-gov, 175044, Some-college, 10, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+68, Private, 45508, 5th-6th, 3, Married-spouse-absent, Sales, Not-in-family, White, Male, 0, 0, 22, United-States, <=50K
+32, Private, 173351, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, <=50K
+29, Private, 173611, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+51, ?, 182543, 1st-4th, 2, Separated, ?, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K
+21, Private, 143062, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+26, ?, 137951, 10th, 6, Separated, ?, Other-relative, White, Female, 0, 0, 40, Puerto-Rico, <=50K
+33, Local-gov, 293063, Bachelors, 13, Married-spouse-absent, Prof-specialty, Other-relative, Black, Male, 0, 0, 40, ?, <=50K
+26, Private, 377754, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+52, Private, 152373, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 2105, 0, 40, United-States, <=50K
+31, Private, 193477, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K
+29, Local-gov, 277323, HS-grad, 9, Never-married, Protective-serv, Unmarried, White, Male, 0, 0, 45, United-States, <=50K
+19, Private, 69182, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 27, United-States, <=50K
+51, Private, 219599, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, United-States, <=50K
+45, Private, 129371, 9th, 5, Separated, Other-service, Unmarried, Other, Female, 0, 0, 40, Trinadad&Tobago, <=50K
+20, Private, 470875, HS-grad, 9, Married-civ-spouse, Sales, Own-child, Black, Male, 0, 0, 32, United-States, <=50K
+40, Private, 201734, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K
+43, Private, 58447, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 55, United-States, >50K
+52, Local-gov, 91689, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+46, Private, 166546, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K
+24, Private, 293324, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 219262, 9th, 5, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+38, Self-emp-not-inc, 403391, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K
+44, Private, 367749, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, Mexico, <=50K
+24, Private, 128487, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+32, State-gov, 111363, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 75, United-States, >50K
+49, Private, 240869, 7th-8th, 4, Never-married, Other-service, Other-relative, White, Male, 0, 0, 35, United-States, <=50K
+36, Private, 163278, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+31, Private, 416415, HS-grad, 9, Separated, Adm-clerical, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+46, ?, 280030, 5th-6th, 3, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+46, Private, 251243, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+46, Local-gov, 167159, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 70, United-States, >50K
+29, Private, 161857, HS-grad, 9, Married-spouse-absent, Other-service, Not-in-family, Other, Female, 0, 0, 40, Columbia, <=50K
+37, Private, 160035, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+44, ?, 190205, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 25, United-States, <=50K
+28, ?, 161290, Some-college, 10, Never-married, ?, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+28, Self-emp-not-inc, 112403, Bachelors, 13, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+48, Private, 238726, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+52, Private, 164530, 11th, 7, Divorced, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 20, United-States, <=50K
+19, Private, 456572, HS-grad, 9, Never-married, Farming-fishing, Other-relative, White, Male, 0, 0, 35, United-States, <=50K
+31, Self-emp-not-inc, 177675, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+47, Private, 246739, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 55, United-States, >50K
+37, Private, 102953, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+22, ?, 224238, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 2, United-States, <=50K
+46, Private, 155489, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 44, United-States, >50K
+51, Self-emp-not-inc, 156802, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 3103, 0, 60, United-States, >50K
+50, Private, 168212, Masters, 14, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1902, 45, United-States, >50K
+38, Private, 331395, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 3942, 0, 84, Portugal, <=50K
+40, Local-gov, 261497, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 35, United-States, <=50K
+58, Private, 365511, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, Other, Male, 0, 0, 40, Mexico, <=50K
+36, Private, 187999, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+26, Local-gov, 190350, Bachelors, 13, Never-married, Prof-specialty, Own-child, Black, Female, 0, 0, 35, United-States, <=50K
+17, ?, 166759, 12th, 8, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+49, Private, 168262, 10th, 6, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K
+39, State-gov, 122011, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 5178, 0, 38, United-States, >50K
+46, Private, 165953, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, >50K
+26, Private, 375980, HS-grad, 9, Separated, Sales, Unmarried, Black, Female, 0, 0, 37, United-States, <=50K
+40, Federal-gov, 406463, Masters, 14, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+53, State-gov, 231472, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+60, Self-emp-not-inc, 78913, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K
+28, Private, 69107, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+22, ?, 182387, Some-college, 10, Never-married, ?, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 12, Thailand, <=50K
+31, Private, 169002, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 55, United-States, <=50K
+45, Private, 229967, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 13550, 0, 50, United-States, >50K
+34, Private, 422836, HS-grad, 9, Divorced, Prof-specialty, Unmarried, White, Male, 0, 0, 40, Mexico, <=50K
+27, State-gov, 230922, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, Scotland, <=50K
+40, Private, 195892, Some-college, 10, Divorced, Transport-moving, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+68, Private, 163346, HS-grad, 9, Widowed, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K
+51, Private, 82566, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+55, Private, 86505, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 20, United-States, <=50K
+43, Private, 178780, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+23, State-gov, 173945, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 27, United-States, <=50K
+48, Private, 176810, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+42, Self-emp-inc, 23813, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male, 2885, 0, 30, United-States, <=50K
+51, Self-emp-inc, 210736, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 10520, 0, 40, United-States, >50K
+32, Private, 343789, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 5013, 0, 55, United-States, <=50K
+34, Private, 113838, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K
+31, Local-gov, 121055, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 70, United-States, >50K
+71, ?, 52171, 7th-8th, 4, Divorced, ?, Unmarried, White, Male, 0, 0, 45, United-States, <=50K
+17, Private, 566049, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 8, United-States, <=50K
+37, Private, 67433, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K
+26, Private, 39014, 12th, 8, Married-civ-spouse, Priv-house-serv, Wife, Other, Female, 0, 0, 40, Dominican-Republic, <=50K
+17, Private, 51939, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+34, Private, 100669, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, >50K
+46, Private, 155659, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1902, 40, United-States, >50K
+33, Private, 112847, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male, 0, 0, 40, ?, <=50K
+41, Local-gov, 32185, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+59, Private, 138370, 10th, 6, Married-spouse-absent, Protective-serv, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, India, <=50K
+50, Self-emp-not-inc, 172281, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 50, United-States, >50K
+46, Private, 180505, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+45, Private, 168262, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 85126, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+31, Private, 113838, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K
+32, Private, 197457, HS-grad, 9, Divorced, Tech-support, Unmarried, White, Female, 1471, 0, 38, United-States, <=50K
+28, Private, 197905, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+32, Private, 316589, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+36, Private, 336367, Assoc-acdm, 12, Never-married, Exec-managerial, Unmarried, White, Male, 0, 0, 50, United-States, <=50K
+39, Self-emp-inc, 143123, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 2415, 40, United-States, >50K
+23, Private, 209955, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+44, Private, 210013, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K
+37, Private, 224541, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 275653, 7th-8th, 4, Married-spouse-absent, Machine-op-inspct, Unmarried, White, Female, 2977, 0, 40, Puerto-Rico, <=50K
+45, Private, 88061, 11th, 7, Married-spouse-absent, Machine-op-inspct, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, South, <=50K
+43, Federal-gov, 195897, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 7298, 0, 40, United-States, >50K
+49, Private, 43206, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 55, United-States, >50K
+37, Private, 202950, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K
+26, Private, 154093, HS-grad, 9, Never-married, Transport-moving, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+34, Private, 112115, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 55, United-States, >50K
+51, Private, 355954, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, >50K
+24, Private, 379418, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+67, Self-emp-not-inc, 286372, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 48087, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 7298, 0, 45, United-States, >50K
+32, Private, 387270, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, >50K
+21, Private, 270043, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 16, United-States, <=50K
+39, Self-emp-not-inc, 65738, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 15, United-States, >50K
+33, Private, 159888, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+48, Private, 278039, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+21, Private, 265434, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+68, Self-emp-inc, 52052, Assoc-voc, 11, Widowed, Sales, Not-in-family, White, Female, 25124, 0, 50, United-States, >50K
+24, Private, 208882, HS-grad, 9, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+24, Private, 229393, 11th, 7, Never-married, Farming-fishing, Unmarried, White, Male, 2463, 0, 40, United-States, <=50K
+23, Private, 53513, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 45, United-States, <=50K
+40, Private, 225193, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 63, United-States, <=50K
+48, Private, 166809, Bachelors, 13, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, >50K
+42, Self-emp-not-inc, 175674, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K
+45, Federal-gov, 368947, Bachelors, 13, Never-married, Protective-serv, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+31, Private, 194901, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+53, Private, 203173, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K
+25, Private, 267431, Bachelors, 13, Never-married, Prof-specialty, Own-child, Black, Female, 0, 0, 55, United-States, <=50K
+32, Private, 111836, Some-college, 10, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 50, United-States, <=50K
+34, Private, 198613, 11th, 7, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 25, ?, <=50K
+41, Self-emp-inc, 149102, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 35, United-States, >50K
+57, Local-gov, 121111, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+25, Private, 130397, 10th, 6, Never-married, Farming-fishing, Unmarried, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K
+40, Private, 212847, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 2179, 40, United-States, <=50K
+17, Private, 184198, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 13, United-States, <=50K
+17, Private, 121287, 9th, 5, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+82, Self-emp-inc, 120408, Some-college, 10, Widowed, Sales, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K
+40, Private, 164678, Assoc-acdm, 12, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 32, United-States, <=50K
+26, Private, 388812, Some-college, 10, Never-married, Sales, Not-in-family, Black, Male, 0, 0, 35, United-States, <=50K
+37, Private, 294919, Some-college, 10, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 101684, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+65, Private, 36209, 10th, 6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 22, United-States, >50K
+39, Private, 123983, Bachelors, 13, Divorced, Sales, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, China, <=50K
+36, Self-emp-not-inc, 340001, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+37, Self-emp-not-inc, 203828, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K
+23, Private, 183789, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 305619, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+63, Self-emp-not-inc, 174181, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 20, United-States, <=50K
+59, Private, 131869, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+49, Self-emp-not-inc, 43479, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+62, ?, 203126, 9th, 5, Never-married, ?, Unmarried, White, Female, 0, 0, 40, Dominican-Republic, <=50K
+17, Private, 118792, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 9, United-States, <=50K
+28, Private, 272913, 10th, 6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 30, Mexico, <=50K
+45, Federal-gov, 222011, Bachelors, 13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+40, Self-emp-inc, 301007, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K
+45, Private, 197731, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 173736, 9th, 5, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+19, ?, 182590, 10th, 6, Never-married, ?, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K
+59, Local-gov, 93211, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 22, United-States, >50K
+41, Private, 24763, HS-grad, 9, Divorced, Transport-moving, Unmarried, White, Male, 7443, 0, 40, United-States, <=50K
+49, Local-gov, 219021, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 48, United-States, >50K
+37, Private, 137229, Assoc-voc, 11, Divorced, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, >50K
+31, Self-emp-not-inc, 281030, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+21, Private, 234108, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 46868, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K
+20, ?, 162667, HS-grad, 9, Never-married, ?, Other-relative, White, Male, 0, 0, 40, El-Salvador, <=50K
+51, Private, 173291, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+46, Private, 305160, 1st-4th, 2, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+48, Private, 212954, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, >50K
+39, Local-gov, 112284, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+50, Private, 164198, Assoc-acdm, 12, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 15024, 0, 45, United-States, >50K
+41, Private, 152958, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+21, Private, 145389, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K
+54, Self-emp-inc, 119570, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+40, Private, 272343, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K
+44, Private, 187720, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 41, United-States, <=50K
+50, Private, 145409, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K
+42, Private, 208726, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 45, United-States, <=50K
+34, Private, 203488, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+46, Private, 330416, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 25803, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 171150, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+37, Private, 82576, Prof-school, 15, Divorced, Prof-specialty, Not-in-family, White, Male, 14084, 0, 36, United-States, >50K
+30, Private, 329425, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 185452, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+21, Private, 201179, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 182268, Preschool, 1, Married-spouse-absent, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+56, Self-emp-not-inc, 95763, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K
+48, Private, 125892, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Poland, <=50K
+21, Private, 121407, Assoc-voc, 11, Never-married, Other-service, Own-child, White, Female, 0, 0, 36, United-States, <=50K
+52, Private, 373367, 11th, 7, Widowed, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+60, Local-gov, 165982, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+45, Private, 165484, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+30, Private, 156890, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, <=50K
+31, Private, 156763, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 2829, 0, 40, United-States, <=50K
+43, Private, 244172, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 35, ?, <=50K
+36, Private, 219814, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, Guatemala, <=50K
+42, Private, 171841, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K
+28, Local-gov, 168524, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 7688, 0, 35, United-States, >50K
+62, Private, 205643, Prof-school, 15, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K
+65, ?, 174904, HS-grad, 9, Separated, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+45, Private, 102559, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Canada, >50K
+47, Private, 60267, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 38, United-States, >50K
+43, Private, 388725, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 215712, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+44, Private, 171722, HS-grad, 9, Separated, Other-service, Unmarried, White, Female, 0, 0, 39, United-States, <=50K
+25, Private, 193051, HS-grad, 9, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 25, United-States, <=50K
+21, Private, 305446, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 146949, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 43, United-States, <=50K
+21, Private, 322144, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+41, Self-emp-inc, 75742, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, El-Salvador, >50K
+64, ?, 380687, Bachelors, 13, Married-civ-spouse, ?, Wife, Black, Female, 0, 0, 8, United-States, <=50K
+55, Self-emp-not-inc, 95149, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 99, United-States, <=50K
+42, Private, 68469, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+63, Self-emp-not-inc, 27653, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 35, United-States, <=50K
+21, Private, 410439, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 24, United-States, <=50K
+28, Private, 37821, Assoc-voc, 11, Never-married, Sales, Unmarried, White, Female, 0, 0, 55, ?, <=50K
+45, Private, 228570, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 35, United-States, <=50K
+21, Private, 141453, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+34, Private, 88215, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female, 0, 0, 40, China, >50K
+53, Private, 48641, 12th, 8, Never-married, Other-service, Not-in-family, Other, Female, 0, 0, 35, United-States, <=50K
+45, Private, 185385, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+47, Private, 341471, HS-grad, 9, Divorced, Priv-house-serv, Not-in-family, White, Female, 0, 0, 4, United-States, <=50K
+41, Private, 163322, 11th, 7, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 36, United-States, <=50K
+35, Private, 99357, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 1977, 30, United-States, >50K
+43, Self-emp-inc, 602513, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+53, Local-gov, 287192, 1st-4th, 2, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 32, Mexico, <=50K
+34, Private, 215047, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+46, Federal-gov, 97863, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 5178, 0, 40, United-States, >50K
+59, Private, 308118, Assoc-acdm, 12, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, >50K
+53, Private, 137192, Bachelors, 13, Divorced, Exec-managerial, Unmarried, Asian-Pac-Islander, Male, 0, 0, 50, United-States, <=50K
+33, Private, 275369, 7th-8th, 4, Separated, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 35, Haiti, <=50K
+45, Private, 99971, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K
+48, Self-emp-inc, 103713, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+42, Private, 253770, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+55, Private, 162205, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 5178, 0, 72, United-States, >50K
+46, Self-emp-not-inc, 31267, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K
+17, Private, 198146, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 16, United-States, <=50K
+23, Private, 178207, Some-college, 10, Never-married, Handlers-cleaners, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 35, United-States, <=50K
+21, Private, 317175, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+53, Federal-gov, 221791, HS-grad, 9, Divorced, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+61, Self-emp-inc, 187124, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 20, United-States, >50K
+58, State-gov, 280519, HS-grad, 9, Divorced, Other-service, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+36, Private, 207568, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+45, Local-gov, 192684, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 38, United-States, <=50K
+39, Private, 103260, Bachelors, 13, Married-civ-spouse, Craft-repair, Wife, White, Female, 0, 0, 30, United-States, >50K
+39, Private, 191227, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 13550, 0, 50, United-States, >50K
+48, Self-emp-inc, 382242, Doctorate, 16, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K
+41, Private, 106900, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 38, United-States, <=50K
+30, Private, 48520, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2002, 40, United-States, <=50K
+50, Private, 55527, Assoc-acdm, 12, Divorced, Craft-repair, Not-in-family, Black, Male, 0, 0, 45, United-States, <=50K
+51, Self-emp-not-inc, 246820, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 48, United-States, >50K
+23, Private, 33884, Some-college, 10, Separated, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+41, Private, 29762, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K
+47, Federal-gov, 168109, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 70, United-States, <=50K
+51, Private, 207449, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, <=50K
+60, Self-emp-inc, 189098, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+51, Private, 194259, Bachelors, 13, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+20, Local-gov, 194630, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+29, Local-gov, 179681, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Female, 0, 0, 37, United-States, <=50K
+42, State-gov, 136996, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 48, United-States, <=50K
+32, Private, 143604, HS-grad, 9, Divorced, Other-service, Not-in-family, Black, Female, 0, 0, 16, United-States, <=50K
+19, Private, 243373, 12th, 8, Never-married, Sales, Other-relative, White, Male, 1055, 0, 40, United-States, <=50K
+34, Private, 261799, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 45, United-States, >50K
+48, Private, 143281, HS-grad, 9, Widowed, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K
+38, Private, 185556, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Italy, <=50K
+38, Private, 111499, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, >50K
+40, Self-emp-not-inc, 280433, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+39, Private, 37314, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, >50K
+38, Private, 103408, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, ?, <=50K
+26, Private, 270151, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+23, State-gov, 96748, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 10, United-States, <=50K
+20, Private, 164775, 5th-6th, 3, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, Guatemala, <=50K
+49, Private, 190319, Bachelors, 13, Married-spouse-absent, Adm-clerical, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 40, Philippines, <=50K
+23, Private, 213115, HS-grad, 9, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+47, Private, 156926, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, Canada, >50K
+43, Private, 112967, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K
+56, Private, 35373, Some-college, 10, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+60, Self-emp-not-inc, 220342, 11th, 7, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 35, United-States, <=50K
+29, Private, 163167, HS-grad, 9, Divorced, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 404951, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, Black, Female, 0, 0, 38, United-States, <=50K
+39, Private, 122032, Assoc-voc, 11, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 143582, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, Other, Female, 4101, 0, 35, United-States, <=50K
+38, Private, 108140, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 2202, 0, 45, United-States, <=50K
+47, Private, 251508, HS-grad, 9, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K
+50, Self-emp-not-inc, 197054, Prof-school, 15, Divorced, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, >50K
+64, Self-emp-not-inc, 36960, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, >50K
+35, Private, 165930, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+25, ?, 178960, 11th, 7, Never-married, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+42, Private, 214503, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 44, United-States, >50K
+51, Private, 110458, Bachelors, 13, Separated, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 202125, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+53, Self-emp-not-inc, 284329, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, >50K
+29, Private, 192924, Assoc-voc, 11, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+34, Private, 340917, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 2829, 0, 50, ?, <=50K
+37, Private, 340614, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+20, Private, 196678, 12th, 8, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+18, Private, 266489, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+57, Private, 61474, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 45, United-States, >50K
+47, ?, 99127, Assoc-voc, 11, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, >50K
+27, Private, 215955, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 2829, 0, 40, United-States, <=50K
+23, Self-emp-inc, 215395, Assoc-voc, 11, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+36, Self-emp-inc, 183898, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+48, Private, 97176, HS-grad, 9, Divorced, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+40, Private, 145160, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 43, United-States, <=50K
+51, Private, 357949, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 16, United-States, <=50K
+59, Private, 177120, 9th, 5, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 288229, Some-college, 10, Married-civ-spouse, Sales, Other-relative, Asian-Pac-Islander, Female, 0, 0, 40, Greece, <=50K
+39, Private, 509060, Some-college, 10, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 47932, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 103925, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K
+44, State-gov, 183829, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K
+51, Private, 138852, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K
+54, Private, 188186, HS-grad, 9, Never-married, Other-service, Other-relative, White, Female, 0, 0, 20, Hungary, <=50K
+22, Private, 34616, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+19, Private, 220819, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+31, Federal-gov, 281540, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 45, United-States, <=50K
+53, Private, 47396, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 141350, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K
+19, Private, 331433, HS-grad, 9, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 32, United-States, <=50K
+40, Federal-gov, 346532, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, >50K
+21, Private, 241367, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 10, United-States, <=50K
+39, Private, 216256, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, Italy, >50K
+40, Local-gov, 153031, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 35, United-States, >50K
+36, Private, 116138, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Cambodia, <=50K
+18, Private, 193166, 9th, 5, Never-married, Sales, Own-child, White, Female, 0, 0, 42, United-States, <=50K
+32, Self-emp-inc, 275094, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 55, Mexico, >50K
+50, Private, 81548, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+18, Private, 167979, 11th, 7, Never-married, Sales, Own-child, White, Male, 0, 0, 15, United-States, <=50K
+19, Private, 67759, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 43, United-States, <=50K
+53, Private, 200190, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+49, Private, 403112, HS-grad, 9, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 32, United-States, <=50K
+40, Private, 214891, Bachelors, 13, Married-spouse-absent, Transport-moving, Own-child, Other, Male, 0, 0, 45, ?, <=50K
+31, Private, 142675, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+47, Self-emp-not-inc, 88500, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 35, United-States, <=50K
+35, Local-gov, 145308, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+47, Local-gov, 204377, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+43, Self-emp-not-inc, 260696, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+51, Private, 231181, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 21, United-States, <=50K
+54, Private, 260052, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+76, Local-gov, 178665, 9th, 5, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 30, United-States, <=50K
+33, Private, 226267, 7th-8th, 4, Never-married, Sales, Not-in-family, White, Male, 0, 0, 43, Mexico, <=50K
+19, Private, 111232, 12th, 8, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 15, United-States, <=50K
+49, Private, 87928, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 5013, 0, 40, United-States, <=50K
+26, Private, 212748, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 110677, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+49, Private, 139268, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 40, United-States, >50K
+24, Private, 306779, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K
+48, Private, 318331, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+36, State-gov, 143385, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 288273, 12th, 8, Separated, Adm-clerical, Unmarried, White, Female, 1471, 0, 40, United-States, <=50K
+31, Private, 167725, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 15024, 0, 48, Philippines, >50K
+53, Private, 94081, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 44, United-States, >50K
+22, Private, 194723, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 10, United-States, <=50K
+43, Private, 163985, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 189759, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, Italy, <=50K
+53, State-gov, 195922, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+36, Federal-gov, 54159, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K
+47, Local-gov, 166863, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+52, Private, 104501, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, Germany, >50K
+39, Private, 210626, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+24, Private, 448026, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+17, Local-gov, 170916, 10th, 6, Never-married, Protective-serv, Own-child, White, Female, 0, 1602, 40, United-States, <=50K
+53, Local-gov, 283602, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 15024, 0, 40, United-States, >50K
+21, Private, 189749, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 90934, Bachelors, 13, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Male, 0, 0, 64, Philippines, >50K
+34, State-gov, 253121, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 181776, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+61, Private, 162397, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+20, Private, 70708, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 60, United-States, <=50K
+47, State-gov, 103406, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 224658, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K
+26, Local-gov, 213451, Some-college, 10, Never-married, Other-service, Own-child, Black, Female, 0, 0, 10, Jamaica, <=50K
+53, Private, 139671, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+26, Private, 36201, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+39, Private, 237713, Prof-school, 15, Married-civ-spouse, Sales, Husband, White, Male, 0, 2415, 99, United-States, >50K
+17, Local-gov, 173497, 11th, 7, Never-married, Prof-specialty, Own-child, Black, Male, 0, 0, 15, United-States, <=50K
+46, Private, 375606, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+34, Private, 203488, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 40, United-States, >50K
+45, Self-emp-not-inc, 107231, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, France, <=50K
+23, Private, 216811, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 16, United-States, <=50K
+41, Private, 288679, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 105516, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+28, Self-emp-not-inc, 282972, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 4, United-States, <=50K
+18, Self-emp-inc, 117372, 11th, 7, Never-married, Sales, Own-child, White, Male, 0, 0, 15, United-States, <=50K
+38, Private, 112497, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+66, ?, 186032, Assoc-voc, 11, Widowed, ?, Not-in-family, White, Female, 2964, 0, 30, United-States, <=50K
+28, Private, 192384, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+49, Private, 43348, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+29, Private, 181822, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+43, Local-gov, 216070, Masters, 14, Married-civ-spouse, Exec-managerial, Wife, Amer-Indian-Eskimo, Female, 0, 0, 50, United-States, >50K
+34, State-gov, 112062, Masters, 14, Never-married, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+30, Private, 218551, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K
+25, Private, 404616, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+27, Private, 169460, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 240081, HS-grad, 9, Never-married, Sales, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+22, Private, 147655, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+26, Private, 90277, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, ?, <=50K
+49, Private, 60751, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K
+44, Self-emp-not-inc, 194636, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 3137, 0, 50, United-States, <=50K
+37, Self-emp-not-inc, 154641, Assoc-acdm, 12, Married-civ-spouse, Farming-fishing, Husband, White, Male, 2105, 0, 50, United-States, <=50K
+39, Private, 491000, Bachelors, 13, Never-married, Exec-managerial, Other-relative, Black, Male, 0, 0, 45, United-States, <=50K
+33, Private, 399088, HS-grad, 9, Divorced, Transport-moving, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+41, Self-emp-not-inc, 186909, Masters, 14, Married-civ-spouse, Sales, Wife, White, Female, 0, 1902, 35, United-States, >50K
+65, Private, 105491, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 40, United-States, >50K
+40, Private, 34987, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 53, United-States, <=50K
+26, ?, 167835, Bachelors, 13, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 20, United-States, <=50K
+31, Private, 288983, Some-college, 10, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 266070, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+71, Private, 110380, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 2467, 52, United-States, <=50K
+25, Local-gov, 31873, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+25, Private, 294400, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K
+19, ?, 184308, Some-college, 10, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 30, United-States, <=50K
+36, Self-emp-not-inc, 175769, Prof-school, 15, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K
+56, Private, 182273, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 106541, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+39, Private, 138192, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+31, Private, 196791, Prof-school, 15, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, >50K
+22, Private, 223019, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+44, Private, 109273, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K
+60, Self-emp-not-inc, 95490, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K
+65, Private, 149131, 11th, 7, Divorced, Machine-op-inspct, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+44, Private, 219155, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, England, >50K
+53, Local-gov, 82783, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 214858, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+41, Private, 170230, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 45, United-States, <=50K
+40, Self-emp-inc, 209344, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 15, ?, <=50K
+35, Private, 90406, 11th, 7, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, <=50K
+41, Self-emp-inc, 299813, 9th, 5, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 70, Dominican-Republic, <=50K
+28, Private, 188064, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, Canada, <=50K
+53, Private, 246117, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+26, Private, 132749, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 45, United-States, <=50K
+28, Local-gov, 201099, HS-grad, 9, Never-married, Transport-moving, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+27, Private, 97490, Some-college, 10, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+27, Private, 221252, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 8, United-States, <=50K
+26, Private, 116991, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+53, Private, 161691, HS-grad, 9, Widowed, Sales, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+34, Private, 107793, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Germany, >50K
+50, Self-emp-inc, 194514, Masters, 14, Never-married, Prof-specialty, Not-in-family, Black, Male, 0, 0, 50, Trinadad&Tobago, <=50K
+30, Private, 278502, HS-grad, 9, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 62, United-States, <=50K
+47, Private, 343742, HS-grad, 9, Separated, Craft-repair, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K
+27, ?, 204074, HS-grad, 9, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+55, Federal-gov, 31965, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 143604, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 29, ?, <=50K
+35, Private, 174308, Some-college, 10, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+31, Self-emp-not-inc, 162551, 12th, 8, Married-civ-spouse, Sales, Wife, Asian-Pac-Islander, Female, 0, 0, 50, ?, <=50K
+39, Self-emp-inc, 372525, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K
+30, Private, 75167, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, <=50K
+39, Private, 176296, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 1887, 40, United-States, >50K
+19, Private, 93518, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+25, ?, 126797, HS-grad, 9, Married-spouse-absent, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+57, Self-emp-not-inc, 25124, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 60, United-States, <=50K
+21, Private, 112137, Some-college, 10, Never-married, Prof-specialty, Other-relative, Asian-Pac-Islander, Female, 0, 0, 20, South, <=50K
+30, ?, 58798, 7th-8th, 4, Widowed, ?, Not-in-family, White, Female, 0, 0, 44, United-States, <=50K
+25, Self-emp-not-inc, 21472, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 22, United-States, <=50K
+32, Private, 90969, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, >50K
+26, Private, 149734, HS-grad, 9, Separated, Craft-repair, Unmarried, Black, Female, 0, 1594, 40, United-States, <=50K
+42, Private, 52849, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+39, Self-emp-not-inc, 106347, Some-college, 10, Divorced, Sales, Unmarried, White, Male, 0, 0, 47, United-States, <=50K
+48, Private, 199735, Bachelors, 13, Divorced, Priv-house-serv, Not-in-family, White, Female, 0, 0, 44, Germany, <=50K
+24, Private, 488541, Some-college, 10, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K
+46, Private, 403911, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, >50K
+53, Private, 172991, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 25, United-States, <=50K
+36, Federal-gov, 210945, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 70, United-States, <=50K
+34, Private, 157446, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 45, United-States, <=50K
+25, Private, 109390, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 70, United-States, <=50K
+33, Private, 134886, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 99999, 0, 30, United-States, >50K
+45, Private, 144579, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+31, Federal-gov, 203488, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 202871, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+33, Private, 175412, 9th, 5, Divorced, Craft-repair, Unmarried, White, Male, 114, 0, 55, United-States, <=50K
+44, Private, 336906, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+34, Private, 177596, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, Puerto-Rico, >50K
+30, Private, 79448, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 10, United-States, <=50K
+32, Local-gov, 191731, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+46, ?, 233014, HS-grad, 9, Divorced, ?, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+29, Private, 133937, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+20, Private, 219211, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+35, State-gov, 94529, HS-grad, 9, Divorced, Protective-serv, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+35, Private, 247547, HS-grad, 9, Separated, Prof-specialty, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K
+29, Private, 29361, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K
+21, Private, 166851, HS-grad, 9, Never-married, Machine-op-inspct, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+43, Federal-gov, 197069, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, Philippines, >50K
+33, Private, 153588, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+61, Federal-gov, 151369, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+42, Private, 174112, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+33, Private, 520033, 12th, 8, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K
+35, State-gov, 194828, Some-college, 10, Never-married, Prof-specialty, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+32, ?, 216908, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 24, United-States, <=50K
+22, Private, 126613, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+61, Private, 26254, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+28, Private, 54042, Assoc-voc, 11, Never-married, Other-service, Not-in-family, White, Female, 2463, 0, 35, United-States, <=50K
+24, Private, 67804, HS-grad, 9, Never-married, Other-service, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+58, Local-gov, 53481, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+42, Private, 412379, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+56, Private, 220187, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K
+26, ?, 256141, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+25, Private, 268222, HS-grad, 9, Separated, Handlers-cleaners, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+59, Private, 99131, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K
+65, Self-emp-not-inc, 115498, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 3818, 0, 10, United-States, <=50K
+57, Private, 317847, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 2824, 50, United-States, >50K
+36, Private, 98389, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 44, United-States, >50K
+42, Private, 173704, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 1887, 50, United-States, >50K
+18, ?, 211177, 12th, 8, Never-married, ?, Other-relative, Black, Male, 0, 0, 20, United-States, <=50K
+18, Private, 115443, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 65078, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+20, Private, 24896, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 20, United-States, <=50K
+19, Private, 184710, Some-college, 10, Never-married, Tech-support, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+28, Private, 410450, Bachelors, 13, Divorced, Other-service, Unmarried, White, Female, 0, 0, 48, England, >50K
+37, Private, 83893, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 113309, Some-college, 10, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+60, Private, 160625, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 47, United-States, <=50K
+17, Local-gov, 340043, 12th, 8, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 12, United-States, <=50K
+37, Local-gov, 48976, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 4865, 0, 45, United-States, <=50K
+29, State-gov, 243875, Assoc-voc, 11, Divorced, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 554206, HS-grad, 9, Separated, Transport-moving, Not-in-family, Black, Male, 0, 0, 20, United-States, <=50K
+36, Private, 361888, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, ?, >50K
+37, Self-emp-not-inc, 205359, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 15, United-States, <=50K
+47, State-gov, 167281, Bachelors, 13, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 35663, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+61, Private, 357437, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+57, Private, 390856, 5th-6th, 3, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 45, Mexico, <=50K
+33, Federal-gov, 331615, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1848, 40, United-States, >50K
+54, Private, 202415, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+40, Private, 180032, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 1669, 40, United-States, <=50K
+40, Private, 77247, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K
+40, Local-gov, 101795, HS-grad, 9, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K
+35, Private, 272019, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 2057, 40, United-States, <=50K
+32, Private, 198068, 11th, 7, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+49, Self-emp-not-inc, 199326, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K
+31, Private, 178841, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+58, Private, 136951, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K
+26, Self-emp-inc, 109240, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+35, Self-emp-not-inc, 128876, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 103358, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, India, <=50K
+43, Private, 354408, 12th, 8, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+32, Private, 206051, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+45, Private, 155659, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K
+48, Private, 143299, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+31, Private, 252210, 5th-6th, 3, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, Mexico, <=50K
+20, ?, 129240, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+28, Private, 398918, HS-grad, 9, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+50, Self-emp-not-inc, 240612, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K
+22, Private, 429346, HS-grad, 9, Never-married, Adm-clerical, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K
+19, Private, 123718, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+38, Private, 455379, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 63, United-States, >50K
+23, Private, 376416, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+24, Self-emp-inc, 234663, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 282142, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K
+45, State-gov, 208049, HS-grad, 9, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+88, Private, 68539, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+19, Private, 126501, 11th, 7, Never-married, Adm-clerical, Own-child, Amer-Indian-Eskimo, Female, 0, 0, 15, South, <=50K
+24, Private, 186452, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+84, ?, 127184, 5th-6th, 3, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 20, United-States, <=50K
+48, Private, 165267, 10th, 6, Married-civ-spouse, Farming-fishing, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+46, Private, 124733, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Vietnam, <=50K
+31, Self-emp-inc, 149726, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+58, Private, 41374, HS-grad, 9, Widowed, Adm-clerical, Unmarried, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K
+35, Local-gov, 329759, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 212433, HS-grad, 9, Never-married, Craft-repair, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+36, Private, 185099, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K
+47, Local-gov, 126754, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+57, Private, 122497, 9th, 5, Widowed, Other-service, Unmarried, Black, Male, 0, 0, 52, ?, <=50K
+30, Private, 118056, Some-college, 10, Married-spouse-absent, Exec-managerial, Unmarried, White, Female, 0, 0, 45, United-States, <=50K
+30, Local-gov, 200892, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+19, ?, 200790, 12th, 8, Married-civ-spouse, ?, Other-relative, White, Female, 15024, 0, 40, United-States, >50K
+30, Self-emp-inc, 84119, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 43, United-States, <=50K
+23, Local-gov, 197918, Some-college, 10, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 40, United-States, >50K
+41, Self-emp-not-inc, 150533, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+52, Private, 443742, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+27, Private, 104423, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+59, Private, 169133, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+21, Private, 185551, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 36, United-States, <=50K
+60, Private, 174486, HS-grad, 9, Widowed, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+69, State-gov, 50468, Prof-school, 15, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 34, United-States, >50K
+24, Private, 196943, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+19, Private, 120691, HS-grad, 9, Never-married, Sales, Own-child, Black, Male, 0, 0, 25, United-States, <=50K
+60, State-gov, 198815, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 20, Mexico, <=50K
+64, Private, 22186, Some-college, 10, Widowed, Tech-support, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+39, Self-emp-inc, 188069, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K
+51, Private, 233149, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+51, Private, 138358, 10th, 6, Divorced, Craft-repair, Not-in-family, Black, Female, 0, 0, 35, United-States, <=50K
+25, Private, 338013, Some-college, 10, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+17, ?, 332666, 10th, 6, Never-married, ?, Own-child, White, Female, 0, 0, 4, United-States, <=50K
+37, Private, 166339, Some-college, 10, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+74, Self-emp-not-inc, 392886, HS-grad, 9, Widowed, Farming-fishing, Not-in-family, White, Female, 0, 0, 14, United-States, <=50K
+26, State-gov, 141838, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, United-States, >50K
+23, Private, 520759, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 30, United-States, <=50K
+57, Self-emp-inc, 37345, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 36, United-States, >50K
+20, Private, 387779, 11th, 7, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 15, United-States, <=50K
+37, Private, 201531, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K
+46, Private, 123598, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+39, Private, 380614, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, >50K
+40, Private, 83859, HS-grad, 9, Widowed, Machine-op-inspct, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+50, State-gov, 24790, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 266820, Preschool, 1, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 35, Mexico, <=50K
+44, Private, 85440, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, <=50K
+41, Private, 421837, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+30, Self-emp-not-inc, 404062, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 15, United-States, >50K
+38, Private, 224566, Assoc-voc, 11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 50, United-States, <=50K
+54, Private, 294991, 10th, 6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+40, Federal-gov, 189610, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 0, 52, United-States, <=50K
+37, Private, 219141, 11th, 7, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 7688, 0, 40, United-States, >50K
+46, Federal-gov, 20956, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 40, United-States, >50K
+38, Private, 70995, HS-grad, 9, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+20, Private, 215232, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 10, United-States, <=50K
+71, ?, 178295, Assoc-acdm, 12, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 3, United-States, <=50K
+35, Private, 56201, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+62, Private, 98076, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+34, Private, 351810, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, Cuba, <=50K
+56, Self-emp-not-inc, 144351, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 90, United-States, <=50K
+30, State-gov, 137613, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 20, Taiwan, <=50K
+17, Private, 54257, 11th, 7, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+18, Self-emp-not-inc, 230373, 11th, 7, Never-married, Other-service, Own-child, White, Female, 594, 0, 4, United-States, <=50K
+35, Private, 98389, 11th, 7, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 184135, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, Black, Male, 0, 0, 1, United-States, <=50K
+46, Self-emp-not-inc, 140121, HS-grad, 9, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 50, United-States, <=50K
+33, Self-emp-not-inc, 24504, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K
+27, Private, 129528, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+36, Private, 415578, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+42, Private, 97142, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 201328, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K
+25, Private, 256620, Bachelors, 13, Separated, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+47, Federal-gov, 96854, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+44, State-gov, 141858, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 75, United-States, >50K
+51, Federal-gov, 20795, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 7688, 0, 40, United-States, >50K
+53, Private, 95519, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 42, United-States, >50K
+47, Private, 112791, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 291407, 11th, 7, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+32, Private, 239659, Some-college, 10, Separated, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 70, United-States, <=50K
+28, Private, 183151, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+58, ?, 97634, 5th-6th, 3, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+52, Private, 143807, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+35, Private, 186934, Masters, 14, Separated, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+30, Private, 170065, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 108328, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 6849, 0, 50, United-States, <=50K
+56, State-gov, 83696, Bachelors, 13, Separated, Prof-specialty, Not-in-family, White, Female, 0, 0, 38, ?, <=50K
+21, Private, 204596, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+56, ?, 32604, Some-college, 10, Never-married, ?, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+56, Private, 193453, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 65, United-States, >50K
+45, Private, 148995, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 15024, 0, 40, United-States, >50K
+20, Private, 85041, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+62, Local-gov, 140851, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, >50K
+24, Private, 196280, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+52, Federal-gov, 38973, Bachelors, 13, Separated, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+23, Private, 39182, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 198841, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+40, Private, 694812, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 247444, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Nicaragua, <=50K
+41, Private, 294270, 9th, 5, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 35, United-States, <=50K
+59, Private, 195820, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K
+27, Private, 329426, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 37, United-States, <=50K
+19, ?, 174871, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 23, United-States, <=50K
+41, Private, 116103, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+27, Private, 206903, Bachelors, 13, Never-married, Handlers-cleaners, Unmarried, White, Male, 0, 0, 35, United-States, <=50K
+50, Private, 217577, HS-grad, 9, Widowed, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+29, Private, 337693, 5th-6th, 3, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, El-Salvador, <=50K
+38, Private, 204501, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K
+30, Private, 169186, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 60, United-States, <=50K
+48, Private, 109421, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, <=50K
+39, Local-gov, 267893, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, Black, Male, 7298, 0, 40, United-States, >50K
+40, Private, 200479, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+27, Local-gov, 221317, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+59, Self-emp-not-inc, 132925, Masters, 14, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+31, ?, 283531, HS-grad, 9, Divorced, ?, Unmarried, Black, Female, 0, 0, 20, United-States, <=50K
+34, Private, 170769, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, >50K
+47, Self-emp-inc, 186410, Prof-school, 15, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 60, United-States, >50K
+64, Self-emp-inc, 307786, 1st-4th, 2, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 20, United-States, <=50K
+29, Private, 380560, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+38, Local-gov, 147258, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+42, Private, 212894, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1887, 40, United-States, >50K
+49, Private, 124356, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K
+53, Private, 98791, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 216473, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, >50K
+70, ?, 135339, Bachelors, 13, Married-civ-spouse, ?, Husband, Asian-Pac-Islander, Male, 0, 0, 40, China, <=50K
+38, Private, 107303, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 152744, Bachelors, 13, Divorced, Sales, Other-relative, Asian-Pac-Islander, Female, 0, 0, 40, South, <=50K
+34, Self-emp-not-inc, 100079, Bachelors, 13, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 55, India, <=50K
+24, Private, 117779, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 10, Hungary, <=50K
+23, Private, 197613, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+21, Private, 411068, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+47, Private, 192984, Some-college, 10, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+59, Private, 66356, 7th-8th, 4, Never-married, Farming-fishing, Unmarried, White, Male, 4865, 0, 40, United-States, <=50K
+33, Federal-gov, 137184, Assoc-acdm, 12, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 50, United-States, >50K
+63, Self-emp-not-inc, 231105, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 35, United-States, >50K
+18, Local-gov, 146586, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 60, United-States, <=50K
+32, Private, 32406, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+33, Private, 578701, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, ?, <=50K
+19, Private, 206777, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+27, Local-gov, 133495, HS-grad, 9, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 34722, Some-college, 10, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 48, United-States, >50K
+38, Self-emp-not-inc, 133299, Assoc-acdm, 12, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 24967, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 47, United-States, <=50K
+35, Self-emp-not-inc, 171968, HS-grad, 9, Separated, Transport-moving, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K
+22, Private, 412156, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+40, Private, 51290, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+34, Private, 198265, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 3103, 0, 40, United-States, >50K
+23, Private, 293565, 10th, 6, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 226288, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+53, Self-emp-inc, 110445, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K
+34, Private, 160634, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+39, Private, 174242, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 390316, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+18, Private, 298860, 11th, 7, Never-married, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+65, Private, 171584, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+49, Self-emp-not-inc, 232664, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+64, Private, 63676, 10th, 6, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+68, Private, 170376, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+56, Self-emp-not-inc, 175964, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+68, Federal-gov, 422013, HS-grad, 9, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 3683, 40, United-States, <=50K
+35, Private, 105813, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 48, United-States, >50K
+50, Federal-gov, 306707, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 12, United-States, <=50K
+45, Private, 177543, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 28, United-States, <=50K
+43, Private, 320277, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+39, Private, 129495, Some-college, 10, Separated, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+37, Private, 257042, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 1506, 0, 40, United-States, <=50K
+45, Private, 275995, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 50, United-States, >50K
+20, ?, 86318, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 10, United-States, <=50K
+36, Private, 280440, Assoc-acdm, 12, Never-married, Tech-support, Unmarried, White, Female, 0, 0, 45, United-States, <=50K
+26, Private, 371556, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+36, Private, 408229, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K
+47, Private, 149337, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+34, Private, 209297, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, Black, Male, 0, 2001, 40, United-States, <=50K
+53, Private, 355802, Some-college, 10, Widowed, Sales, Unmarried, White, Female, 0, 0, 30, United-States, <=50K
+32, Private, 165949, Bachelors, 13, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 1590, 42, United-States, <=50K
+44, Self-emp-not-inc, 112507, 5th-6th, 3, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 462869, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K
+35, Private, 413648, 5th-6th, 3, Never-married, Farming-fishing, Unmarried, White, Male, 0, 0, 36, United-States, <=50K
+34, Private, 29235, Assoc-acdm, 12, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+42, Private, 149823, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+47, Private, 39530, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 4, United-States, <=50K
+23, Private, 197387, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 37, Mexico, <=50K
+56, Local-gov, 255406, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+50, Private, 43764, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 50, United-States, >50K
+38, Private, 168322, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K
+46, Private, 278322, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+47, Private, 115813, Assoc-acdm, 12, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 57, United-States, <=50K
+38, Self-emp-not-inc, 184456, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 3464, 0, 80, Italy, <=50K
+42, Private, 289636, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 46, United-States, <=50K
+48, Private, 101684, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 133425, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+40, Private, 349405, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 36, United-States, <=50K
+53, Private, 124076, Doctorate, 16, Married-civ-spouse, Prof-specialty, Wife, White, Female, 99999, 0, 37, United-States, >50K
+75, Self-emp-not-inc, 165968, Assoc-voc, 11, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+39, Private, 185099, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 48, United-States, >50K
+46, Federal-gov, 268281, Assoc-acdm, 12, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+51, Private, 154949, HS-grad, 9, Widowed, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+34, Private, 176711, HS-grad, 9, Divorced, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 165064, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 213750, Assoc-voc, 11, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+45, Self-emp-not-inc, 77132, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K
+21, Private, 109667, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 162164, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 44, United-States, <=50K
+40, Private, 219591, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+20, ?, 327462, 10th, 6, Divorced, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+68, Private, 236943, 9th, 5, Divorced, Farming-fishing, Not-in-family, Black, Male, 0, 0, 20, United-States, <=50K
+40, Private, 89226, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+20, Private, 124751, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 24, United-States, <=50K
+48, Local-gov, 144122, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, >50K
+27, Private, 98769, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+57, Federal-gov, 170066, Assoc-voc, 11, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+54, Self-emp-inc, 162439, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 98, United-States, >50K
+47, Private, 22900, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+30, Local-gov, 102130, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+17, ?, 215743, 11th, 7, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 381583, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Other, Male, 0, 0, 45, United-States, >50K
+56, Local-gov, 198277, 12th, 8, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 243178, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 28, United-States, <=50K
+38, Local-gov, 177305, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 38, United-States, <=50K
+19, Private, 167149, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+24, Private, 270872, HS-grad, 9, Never-married, Craft-repair, Other-relative, White, Male, 594, 0, 40, ?, <=50K
+31, Private, 382368, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, Germany, <=50K
+44, Local-gov, 277144, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 60, United-States, <=50K
+21, State-gov, 145651, Some-college, 10, Never-married, Sales, Own-child, Black, Female, 0, 1602, 12, United-States, <=50K
+41, Private, 171351, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+18, Private, 265099, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 16, United-States, <=50K
+23, Private, 105617, 9th, 5, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+37, Local-gov, 217689, Some-college, 10, Married-civ-spouse, Other-service, Husband, Amer-Indian-Eskimo, Male, 0, 0, 32, United-States, <=50K
+46, ?, 81136, Assoc-voc, 11, Divorced, ?, Unmarried, White, Male, 0, 0, 30, United-States, <=50K
+43, Self-emp-not-inc, 73883, Bachelors, 13, Divorced, Sales, Unmarried, White, Male, 0, 0, 45, United-States, <=50K
+31, Private, 339482, 1st-4th, 2, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+40, Private, 326232, Some-college, 10, Divorced, Transport-moving, Unmarried, White, Male, 0, 0, 40, United-States, >50K
+27, Private, 106316, Prof-school, 15, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 12, United-States, <=50K
+64, Local-gov, 198728, Some-college, 10, Never-married, Transport-moving, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+31, Federal-gov, 126501, Assoc-voc, 11, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+48, Private, 233802, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 45, United-States, <=50K
+37, Self-emp-not-inc, 204501, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 20, Canada, >50K
+28, Private, 208249, Some-college, 10, Divorced, Tech-support, Not-in-family, White, Male, 0, 0, 24, United-States, <=50K
+42, Private, 188693, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+60, Self-emp-inc, 93272, 7th-8th, 4, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K
+17, Private, 159299, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+21, ?, 303588, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+46, Private, 35136, 10th, 6, Divorced, Adm-clerical, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+18, Private, 139576, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+22, Private, 252355, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 27, United-States, <=50K
+44, Self-emp-not-inc, 83812, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+36, Private, 89718, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+65, Private, 222810, Assoc-voc, 11, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+26, Private, 456618, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K
+21, Private, 296158, 10th, 6, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 25, United-States, <=50K
+41, Private, 162140, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 2339, 40, United-States, <=50K
+28, Private, 36601, Some-college, 10, Never-married, Other-service, Unmarried, White, Female, 0, 0, 35, United-States, <=50K
+27, Private, 195337, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+19, State-gov, 282721, Some-college, 10, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 12, United-States, <=50K
+40, Private, 206049, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+19, Private, 223392, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 15, United-States, <=50K
+40, Private, 27821, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Husband, White, Male, 2829, 0, 40, United-States, <=50K
+37, Private, 131827, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 549413, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, >50K
+34, Private, 69491, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+44, Local-gov, 193755, Assoc-acdm, 12, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 598802, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+72, Local-gov, 259762, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 2290, 0, 10, United-States, <=50K
+19, Private, 266255, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+59, Private, 32954, Assoc-voc, 11, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K
+40, Private, 291808, HS-grad, 9, Divorced, Protective-serv, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+35, Private, 190728, HS-grad, 9, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+22, Private, 59184, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+41, Private, 196456, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+59, Private, 147989, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 50, United-States, >50K
+50, Private, 195784, 12th, 8, Divorced, Handlers-cleaners, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 202214, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 10, United-States, <=50K
+40, Self-emp-inc, 225165, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 54825, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+43, Private, 188905, 5th-6th, 3, Separated, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, Mexico, <=50K
+17, Private, 132636, 11th, 7, Never-married, Transport-moving, Own-child, White, Female, 0, 0, 16, United-States, <=50K
+42, Local-gov, 228320, 7th-8th, 4, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 415500, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, >50K
+19, Private, 254247, 12th, 8, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 38, ?, <=50K
+43, Private, 255635, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male, 0, 0, 40, Mexico, <=50K
+46, Private, 96080, 9th, 5, Separated, Craft-repair, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+18, ?, 78181, HS-grad, 9, Never-married, ?, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+50, Local-gov, 339547, Prof-school, 15, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Laos, >50K
+47, Self-emp-not-inc, 126500, 7th-8th, 4, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, Puerto-Rico, <=50K
+31, Private, 511289, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 2907, 0, 99, United-States, <=50K
+33, Private, 159574, 7th-8th, 4, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, <=50K
+27, Private, 224105, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 7298, 0, 40, United-States, >50K
+59, Self-emp-not-inc, 128105, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 35, United-States, <=50K
+39, Local-gov, 89508, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+29, Private, 370242, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 67257, Bachelors, 13, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K
+24, Private, 62952, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 111058, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 1980, 40, United-States, <=50K
+30, Private, 29235, Some-college, 10, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 20, United-States, <=50K
+52, State-gov, 101119, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+51, Federal-gov, 140516, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+30, Private, 159888, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, >50K
+19, ?, 45643, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+23, Private, 166371, Some-college, 10, Never-married, Tech-support, Own-child, White, Male, 0, 0, 60, United-States, <=50K
+37, State-gov, 160910, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K
+25, State-gov, 257064, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 38, United-States, <=50K
+49, Self-emp-not-inc, 181307, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 65, United-States, >50K
+30, Private, 83253, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, <=50K
+40, Private, 128700, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+20, Private, 243010, HS-grad, 9, Never-married, Machine-op-inspct, Other-relative, Other, Male, 0, 0, 32, United-States, <=50K
+35, Self-emp-not-inc, 37778, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 3103, 0, 55, United-States, <=50K
+24, Private, 132320, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 45, United-States, <=50K
+32, Private, 234755, HS-grad, 9, Separated, Craft-repair, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K
+35, Private, 142616, HS-grad, 9, Separated, Other-service, Own-child, Black, Female, 0, 0, 30, United-States, <=50K
+20, Private, 148509, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+29, State-gov, 240738, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+25, Private, 32276, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 28, United-States, <=50K
+50, Local-gov, 163921, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 464103, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+49, ?, 271346, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 15024, 0, 60, United-States, >50K
+30, Local-gov, 327825, HS-grad, 9, Divorced, Protective-serv, Own-child, White, Female, 0, 0, 32, United-States, <=50K
+37, Private, 267085, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+50, Private, 266945, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 3137, 0, 40, El-Salvador, <=50K
+20, Private, 234663, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+49, Self-emp-not-inc, 189123, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 5013, 0, 50, United-States, <=50K
+55, Private, 104996, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K
+61, Private, 101265, 12th, 8, Widowed, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, Italy, <=50K
+22, Private, 184975, HS-grad, 9, Married-spouse-absent, Other-service, Own-child, White, Female, 0, 0, 3, United-States, <=50K
+23, Private, 246965, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 12, United-States, <=50K
+43, Private, 227065, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Male, 4650, 0, 40, United-States, <=50K
+39, Private, 301867, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 24, Philippines, <=50K
+21, Private, 185948, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+52, Self-emp-inc, 134854, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+30, Private, 281030, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 4064, 0, 40, United-States, <=50K
+42, Private, 126701, Bachelors, 13, Divorced, Adm-clerical, Unmarried, White, Male, 9562, 0, 45, United-States, >50K
+50, Self-emp-not-inc, 95949, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+51, Self-emp-not-inc, 88528, Assoc-acdm, 12, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 99, United-States, <=50K
+47, Private, 24723, 10th, 6, Divorced, Exec-managerial, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 45, United-States, <=50K
+49, ?, 171411, 9th, 5, Divorced, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+45, Private, 184581, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+48, Federal-gov, 100067, Some-college, 10, Widowed, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+36, Private, 182863, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+20, Never-worked, 462294, Some-college, 10, Never-married, ?, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+61, Private, 85434, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+72, Private, 158092, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+19, Private, 104844, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+54, Self-emp-inc, 304570, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male, 7688, 0, 40, ?, >50K
+47, ?, 89806, Some-college, 10, Divorced, ?, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 35, United-States, <=50K
+39, Private, 106183, HS-grad, 9, Divorced, Other-service, Unmarried, Amer-Indian-Eskimo, Female, 6849, 0, 40, United-States, <=50K
+24, Private, 89347, 11th, 7, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+44, Private, 157236, Some-college, 10, Married-spouse-absent, Handlers-cleaners, Unmarried, White, Male, 0, 0, 40, Poland, <=50K
+19, Private, 261259, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+20, Private, 286166, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K
+23, Private, 122272, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+58, Private, 248739, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 53, United-States, >50K
+20, Private, 224238, 12th, 8, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+62, Private, 138157, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 12, United-States, <=50K
+25, Private, 148460, HS-grad, 9, Never-married, Adm-clerical, Own-child, Black, Female, 4416, 0, 40, Puerto-Rico, <=50K
+67, Private, 236627, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 2, United-States, <=50K
+37, Local-gov, 191364, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, France, >50K
+36, Private, 353524, HS-grad, 9, Divorced, Exec-managerial, Own-child, White, Female, 1831, 0, 40, United-States, <=50K
+38, Private, 391040, Assoc-voc, 11, Separated, Tech-support, Unmarried, White, Female, 0, 0, 20, United-States, <=50K
+23, Private, 134997, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 80, United-States, <=50K
+28, Private, 392487, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, <=50K
+25, Private, 216724, HS-grad, 9, Divorced, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+41, Self-emp-not-inc, 174395, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 55, United-States, >50K
+63, Private, 383058, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1848, 40, United-States, >50K
+60, Self-emp-not-inc, 96073, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 30, United-States, <=50K
+31, Self-emp-inc, 103435, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K
+29, Self-emp-not-inc, 96718, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 37, United-States, <=50K
+37, Private, 178948, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 7688, 0, 45, United-States, >50K
+51, Private, 173987, 9th, 5, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+45, Private, 34419, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 40, United-States, >50K
+27, Private, 224849, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+18, Private, 249857, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+34, Private, 340458, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+66, Self-emp-not-inc, 427422, Doctorate, 16, Married-civ-spouse, Sales, Husband, White, Male, 0, 2377, 25, United-States, >50K
+19, ?, 440417, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+36, Private, 175643, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K
+35, Private, 297485, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+27, Private, 232954, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K
+29, Private, 326330, Some-college, 10, Divorced, Exec-managerial, Own-child, White, Female, 1831, 0, 40, United-States, <=50K
+25, Private, 109419, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+22, Private, 127768, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 32, United-States, >50K
+41, Private, 252986, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, >50K
+20, Private, 380544, Assoc-acdm, 12, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+52, Private, 306108, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 232855, Some-college, 10, Separated, Other-service, Unmarried, Black, Female, 0, 0, 37, United-States, <=50K
+44, Private, 130126, Prof-school, 15, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, >50K
+50, Private, 194231, Masters, 14, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, >50K
+49, Self-emp-inc, 197038, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+36, ?, 168223, Bachelors, 13, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+71, State-gov, 26109, Prof-school, 15, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 28, United-States, <=50K
+20, Private, 285671, HS-grad, 9, Never-married, Other-service, Other-relative, Black, Male, 0, 0, 25, United-States, <=50K
+20, Private, 153583, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, ?, <=50K
+59, Self-emp-inc, 103948, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K
+41, Private, 439919, 5th-6th, 3, Married-civ-spouse, Farming-fishing, Husband, White, Male, 3411, 0, 40, Mexico, <=50K
+38, Private, 40319, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 42, United-States, <=50K
+55, Local-gov, 159028, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+17, Private, 98675, 9th, 5, Never-married, Other-service, Unmarried, White, Female, 0, 0, 20, United-States, <=50K
+45, Private, 90758, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K
+43, Self-emp-not-inc, 75435, HS-grad, 9, Divorced, Craft-repair, Unmarried, Amer-Indian-Eskimo, Male, 0, 0, 30, United-States, <=50K
+19, Private, 219189, 12th, 8, Never-married, Other-service, Own-child, White, Male, 0, 0, 25, United-States, <=50K
+33, Private, 203463, HS-grad, 9, Divorced, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+63, Private, 187635, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+39, Self-emp-not-inc, 154641, HS-grad, 9, Divorced, Farming-fishing, Not-in-family, White, Male, 8614, 0, 50, United-States, >50K
+34, Private, 27153, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 150324, Assoc-acdm, 12, Never-married, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 83704, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 176262, Assoc-voc, 11, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 36, United-States, <=50K
+20, Private, 179423, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 8, United-States, <=50K
+45, Private, 168038, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, >50K
+59, Private, 108765, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K
+58, Private, 146477, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 40, Greece, >50K
+66, Local-gov, 188220, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 35, United-States, >50K
+37, Private, 292855, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1887, 35, United-States, >50K
+29, Private, 114870, Some-college, 10, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+32, State-gov, 77723, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K
+39, Private, 284166, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 50, United-States, >50K
+57, Private, 133902, HS-grad, 9, Widowed, Exec-managerial, Unmarried, White, Female, 0, 0, 45, United-States, <=50K
+57, Private, 191318, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+50, Self-emp-inc, 67794, HS-grad, 9, Married-spouse-absent, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+44, Self-emp-inc, 357679, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 15024, 0, 65, United-States, >50K
+56, Private, 117872, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, >50K
+26, Private, 55929, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K
+22, ?, 165065, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, Italy, <=50K
+26, Self-emp-not-inc, 34307, Assoc-voc, 11, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 65, United-States, <=50K
+33, Private, 246038, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+36, Self-emp-not-inc, 147258, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, >50K
+45, Private, 329144, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+56, Local-gov, 52953, Doctorate, 16, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 1669, 38, United-States, <=50K
+23, Private, 216181, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 36, Iran, <=50K
+23, Private, 391171, Some-college, 10, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 25, United-States, <=50K
+35, Local-gov, 223242, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+39, Private, 103925, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 7688, 0, 32, United-States, >50K
+45, Private, 38240, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 148444, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+56, State-gov, 110257, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+31, Federal-gov, 101345, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+44, Private, 268098, 12th, 8, Never-married, Transport-moving, Not-in-family, Black, Male, 0, 0, 36, United-States, <=50K
+21, ?, 369084, Some-college, 10, Never-married, ?, Other-relative, White, Male, 0, 0, 10, United-States, <=50K
+31, Private, 288825, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 5013, 0, 40, United-States, <=50K
+20, Private, 162688, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 38, United-States, <=50K
+17, ?, 48751, 11th, 7, Never-married, ?, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+44, Federal-gov, 184099, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+19, Private, 307496, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 23, United-States, <=50K
+71, ?, 176986, HS-grad, 9, Widowed, ?, Unmarried, White, Male, 0, 0, 24, United-States, <=50K
+23, Private, 267955, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+21, Private, 283969, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, Mexico, <=50K
+29, State-gov, 204516, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 15, United-States, <=50K
+33, Private, 167771, Some-college, 10, Separated, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+46, Private, 345073, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 48, United-States, >50K
+21, ?, 380219, Some-college, 10, Never-married, ?, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+36, Self-emp-inc, 306156, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 60, United-States, >50K
+70, Self-emp-not-inc, 37203, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 9386, 0, 30, United-States, >50K
+19, Private, 185097, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 37, United-States, <=50K
+29, Private, 144808, Some-college, 10, Married-civ-spouse, Exec-managerial, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+34, Private, 187203, Assoc-acdm, 12, Never-married, Sales, Unmarried, White, Male, 0, 0, 50, United-States, <=50K
+26, Private, 125089, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 289458, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+34, Private, 144798, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+24, ?, 172152, Bachelors, 13, Never-married, ?, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 25, Taiwan, <=50K
+28, Private, 207513, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 48, United-States, <=50K
+24, ?, 164574, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+76, Private, 199949, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 20051, 0, 50, United-States, >50K
+19, Private, 213024, 12th, 8, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+45, Private, 213140, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 2829, 0, 40, United-States, <=50K
+24, Self-emp-not-inc, 83374, Some-college, 10, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 30, United-States, >50K
+37, Private, 192939, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+24, Private, 424494, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 30, United-States, <=50K
+24, Private, 215243, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 42, United-States, <=50K
+40, Private, 30682, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, >50K
+20, Private, 306639, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+23, Local-gov, 218678, 11th, 7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 219130, Some-college, 10, Never-married, Other-service, Not-in-family, Other, Female, 0, 0, 40, United-States, <=50K
+64, Private, 180624, Assoc-acdm, 12, Never-married, Prof-specialty, Other-relative, White, Female, 0, 0, 30, United-States, <=50K
+53, Local-gov, 200190, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 55, United-States, >50K
+28, Private, 194472, Some-college, 10, Married-civ-spouse, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+52, Local-gov, 205767, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 40, United-States, >50K
+28, Private, 249870, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, Black, Male, 0, 0, 50, United-States, <=50K
+31, Private, 211242, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K
+77, Private, 149912, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 10, United-States, <=50K
+22, Private, 85389, HS-grad, 9, Never-married, Tech-support, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+17, ?, 806316, 11th, 7, Never-married, ?, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+38, Private, 329980, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K
+45, ?, 236612, 11th, 7, Divorced, ?, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+25, Local-gov, 249214, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+50, Private, 257126, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+53, Local-gov, 204397, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K
+24, Private, 291979, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 138667, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, >50K
+57, Federal-gov, 42298, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 15024, 0, 40, United-States, >50K
+39, Private, 375452, Prof-school, 15, Married-civ-spouse, Exec-managerial, Wife, White, Female, 15024, 0, 48, United-States, >50K
+30, Private, 94413, Some-college, 10, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+31, Federal-gov, 166626, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+39, State-gov, 326566, Some-college, 10, Never-married, Transport-moving, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+30, Private, 165503, Bachelors, 13, Never-married, Sales, Own-child, White, Female, 0, 0, 65, United-States, <=50K
+48, Private, 102597, Some-college, 10, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 44, United-States, <=50K
+62, ?, 113234, Masters, 14, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 40, United-States, <=50K
+39, Private, 177277, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, >50K
+34, Private, 198103, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 1980, 40, United-States, <=50K
+45, Private, 260490, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+32, Private, 237478, 11th, 7, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+40, Federal-gov, 36885, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+17, Private, 166242, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+19, ?, 158603, 10th, 6, Never-married, ?, Own-child, Black, Male, 0, 0, 25, United-States, <=50K
+25, Private, 274228, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 84, United-States, <=50K
+42, Private, 185145, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 57, United-States, <=50K
+66, Private, 28367, Bachelors, 13, Married-civ-spouse, Priv-house-serv, Other-relative, White, Male, 0, 0, 99, United-States, <=50K
+63, Self-emp-not-inc, 28612, HS-grad, 9, Widowed, Sales, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K
+43, Private, 191429, 7th-8th, 4, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 25, United-States, <=50K
+26, Private, 459548, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 20, Mexico, <=50K
+23, Private, 65481, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, United-States, >50K
+39, Private, 186130, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K
+47, Self-emp-inc, 350759, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+36, Private, 359678, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 48, United-States, <=50K
+35, Private, 220595, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 29599, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+21, State-gov, 299153, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+46, Private, 75256, HS-grad, 9, Married-civ-spouse, Priv-house-serv, Wife, White, Female, 0, 0, 40, United-States, <=50K
+43, Private, 143583, 10th, 6, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+31, State-gov, 207505, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 70, United-States, >50K
+41, Private, 308550, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 60, United-States, <=50K
+50, Private, 145717, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 35, United-States, <=50K
+36, Private, 334366, 11th, 7, Separated, Exec-managerial, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K
+31, ?, 76198, HS-grad, 9, Separated, ?, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+45, Self-emp-not-inc, 155489, 7th-8th, 4, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 65, United-States, >50K
+50, Private, 197322, 11th, 7, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+52, Private, 194259, 7th-8th, 4, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 50, United-States, <=50K
+40, Private, 346189, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+55, Private, 98361, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 55, United-States, >50K
+64, ?, 178556, 10th, 6, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 56, United-States, >50K
+51, Self-emp-inc, 162943, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+30, Private, 19302, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 40, United-States, >50K
+56, State-gov, 67662, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 39, United-States, <=50K
+35, Private, 126675, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 48, United-States, <=50K
+55, Self-emp-not-inc, 278228, 10th, 6, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 35, United-States, <=50K
+30, Private, 169152, HS-grad, 9, Never-married, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+34, Private, 204052, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 215392, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K
+43, Self-emp-inc, 83348, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K
+24, Local-gov, 196816, Some-college, 10, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+30, Private, 541343, 10th, 6, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+33, Local-gov, 55921, Assoc-voc, 11, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K
+32, Private, 251701, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, ?, <=50K
+29, Federal-gov, 119848, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+50, Private, 160572, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 3137, 0, 47, United-States, <=50K
+18, Private, 25837, 11th, 7, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 15, United-States, <=50K
+20, Private, 236592, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+45, State-gov, 199326, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K
+22, Private, 341610, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 35, ?, <=50K
+45, Private, 175958, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+41, Private, 198965, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+42, Local-gov, 193537, 7th-8th, 4, Married-spouse-absent, Other-service, Not-in-family, White, Female, 0, 0, 35, Puerto-Rico, <=50K
+24, Private, 438839, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 298227, HS-grad, 9, Never-married, Handlers-cleaners, Unmarried, White, Male, 0, 0, 35, United-States, <=50K
+28, Private, 271466, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+23, Private, 335570, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+21, Private, 206891, 7th-8th, 4, Never-married, Farming-fishing, Own-child, White, Female, 0, 0, 38, United-States, <=50K
+23, Private, 162551, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 20, United-States, <=50K
+45, Private, 145637, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 48, United-States, <=50K
+41, Private, 101290, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+49, Federal-gov, 229376, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+38, Private, 439592, Some-college, 10, Never-married, Other-service, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+37, Private, 161141, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+70, Private, 304570, Bachelors, 13, Widowed, Machine-op-inspct, Other-relative, Asian-Pac-Islander, Male, 0, 0, 32, Philippines, <=50K
+24, Private, 103277, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 2597, 0, 40, United-States, <=50K
+28, Local-gov, 407672, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+24, Private, 73928, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female, 0, 0, 20, United-States, <=50K
+83, Self-emp-inc, 240150, 10th, 6, Married-civ-spouse, Farming-fishing, Husband, White, Male, 20051, 0, 50, United-States, >50K
+69, Private, 230417, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, China, >50K
+37, Private, 260093, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+28, Private, 96020, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+54, Private, 104421, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+71, Private, 152307, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2377, 45, United-States, >50K
+56, State-gov, 93415, HS-grad, 9, Widowed, Adm-clerical, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K
+27, Local-gov, 282664, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Other, Female, 0, 0, 45, ?, <=50K
+42, Self-emp-not-inc, 269733, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 99999, 0, 80, United-States, >50K
+21, Private, 202871, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 44, United-States, <=50K
+29, Private, 169683, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 271603, 7th-8th, 4, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 24, ?, <=50K
+32, Private, 340917, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, >50K
+31, Private, 329874, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 43770, Some-college, 10, Separated, Other-service, Not-in-family, White, Female, 4650, 0, 72, United-States, <=50K
+55, State-gov, 120781, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, India, >50K
+48, Private, 138069, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K
+58, Self-emp-not-inc, 33309, HS-grad, 9, Widowed, Farming-fishing, Not-in-family, White, Male, 0, 0, 80, United-States, <=50K
+23, Private, 76432, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+28, State-gov, 277635, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+49, Local-gov, 123088, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 46, United-States, <=50K
+51, Private, 57698, HS-grad, 9, Married-spouse-absent, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+23, Private, 181820, HS-grad, 9, Separated, Craft-repair, Own-child, White, Male, 0, 0, 53, United-States, <=50K
+40, Self-emp-not-inc, 98985, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, Black, Male, 0, 0, 50, United-States, <=50K
+59, Private, 98350, HS-grad, 9, Divorced, Other-service, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, China, <=50K
+47, Private, 125120, Bachelors, 13, Divorced, Craft-repair, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+37, Private, 243409, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K
+39, Private, 58972, Assoc-acdm, 12, Divorced, Exec-managerial, Unmarried, White, Male, 1506, 0, 40, United-States, <=50K
+43, Private, 62857, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K
+40, Private, 283174, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K
+48, Private, 107373, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K
+29, Private, 201155, 9th, 5, Never-married, Sales, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K
+48, Private, 187505, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+37, Private, 61778, Bachelors, 13, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+19, Private, 223648, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 4101, 0, 48, United-States, <=50K
+28, Private, 149652, 10th, 6, Never-married, Other-service, Own-child, Black, Female, 0, 0, 30, United-States, <=50K
+56, Private, 170324, 5th-6th, 3, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, Trinadad&Tobago, <=50K
+45, Private, 165937, HS-grad, 9, Divorced, Transport-moving, Own-child, White, Male, 0, 0, 60, United-States, <=50K
+60, State-gov, 114060, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K
+53, State-gov, 58913, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 42, United-States, >50K
+37, State-gov, 378916, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 241885, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 224421, Assoc-voc, 11, Married-AF-spouse, Farming-fishing, Husband, White, Male, 0, 0, 44, United-States, >50K
+31, ?, 213771, HS-grad, 9, Widowed, ?, Unmarried, White, Female, 0, 0, 36, United-States, <=50K
+39, Private, 315565, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, Cuba, <=50K
+31, Local-gov, 153005, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+42, Private, 98211, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 45, United-States, >50K
+17, Private, 198606, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 16, United-States, <=50K
+19, Private, 260333, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+24, Private, 219510, Bachelors, 13, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 32, United-States, <=50K
+62, Private, 266624, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 6418, 0, 40, United-States, >50K
+34, Private, 136862, 1st-4th, 2, Never-married, Other-service, Other-relative, White, Female, 0, 0, 40, Guatemala, <=50K
+47, Self-emp-inc, 215620, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 55, United-States, >50K
+58, Private, 187067, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 62, Canada, <=50K
+23, Private, 325921, Assoc-voc, 11, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K
+33, Private, 268127, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+76, Private, 142535, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Male, 0, 0, 6, United-States, <=50K
+40, Private, 177083, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 50, United-States, <=50K
+28, Private, 77009, 7th-8th, 4, Divorced, Other-service, Unmarried, White, Female, 0, 0, 50, United-States, <=50K
+41, Private, 306405, Some-college, 10, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 40, United-States, <=50K
+46, Local-gov, 303918, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 7688, 0, 96, United-States, >50K
+22, Federal-gov, 262819, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+29, Private, 49087, Assoc-voc, 11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 53833, HS-grad, 9, Never-married, Other-service, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 1033222, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 8614, 0, 40, United-States, >50K
+22, Private, 81145, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K
+41, Private, 215479, Some-college, 10, Never-married, Transport-moving, Not-in-family, Black, Male, 0, 0, 43, United-States, <=50K
+29, Private, 113464, HS-grad, 9, Never-married, Transport-moving, Other-relative, Other, Male, 0, 0, 40, Dominican-Republic, <=50K
+60, Private, 109530, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 7298, 0, 40, United-States, >50K
+72, Federal-gov, 217864, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+41, Self-emp-inc, 117721, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 65, United-States, <=50K
+19, Private, 199484, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+25, Private, 248851, Bachelors, 13, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 116968, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+59, Private, 366618, 9th, 5, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 30, United-States, <=50K
+17, Private, 240143, 11th, 7, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+59, ?, 424468, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, >50K
+69, ?, 320280, Some-college, 10, Never-married, ?, Not-in-family, White, Male, 1848, 0, 1, United-States, <=50K
+25, Private, 120238, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 2885, 0, 43, United-States, <=50K
+50, ?, 194186, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 60, United-States, <=50K
+29, Private, 247053, HS-grad, 9, Separated, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+43, Private, 180599, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K
+29, Local-gov, 190330, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 10, United-States, <=50K
+29, State-gov, 199450, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K
+32, Local-gov, 199539, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K
+17, ?, 94366, 10th, 6, Never-married, ?, Other-relative, White, Male, 0, 0, 6, United-States, <=50K
+50, Self-emp-not-inc, 29231, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+43, Private, 33126, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K
+41, Private, 102085, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+32, Private, 212064, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K
+54, State-gov, 166774, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, >50K
+65, Private, 95303, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+18, ?, 379768, HS-grad, 9, Never-married, ?, Own-child, Other, Female, 0, 0, 40, United-States, <=50K
+70, Self-emp-inc, 247383, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+53, Private, 229465, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K
+37, Private, 135436, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 60, United-States, >50K
+21, Private, 180052, Some-college, 10, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+20, Private, 214387, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+47, State-gov, 149337, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Male, 0, 0, 38, United-States, <=50K
+26, Private, 208326, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 3942, 0, 45, United-States, <=50K
+31, Private, 34374, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+45, Self-emp-not-inc, 58683, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 403037, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+55, Private, 32365, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+49, Private, 155489, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+33, Self-emp-inc, 289886, HS-grad, 9, Never-married, Other-service, Unmarried, Asian-Pac-Islander, Male, 0, 0, 40, Vietnam, <=50K
+30, Federal-gov, 54684, Prof-school, 15, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 55, ?, <=50K
+19, Private, 101549, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 15, United-States, <=50K
+48, Self-emp-inc, 51579, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K
+41, Private, 40151, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+29, Private, 244721, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 35, United-States, >50K
+47, Local-gov, 228372, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 48, United-States, >50K
+53, Local-gov, 236873, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, United-States, >50K
+19, Private, 250249, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 10, United-States, <=50K
+71, Private, 93202, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 16, United-States, <=50K
+29, Private, 176723, Some-college, 10, Never-married, Sales, Unmarried, White, Female, 0, 0, 25, United-States, <=50K
+43, Local-gov, 175526, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 91842, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+52, Private, 71768, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+56, Private, 181220, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+28, Private, 204516, 10th, 6, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+44, Self-emp-not-inc, 89172, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 80, United-States, <=50K
+37, Federal-gov, 143547, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+30, Private, 310889, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+31, Local-gov, 150324, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 216472, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+64, Private, 212838, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 65, United-States, >50K
+45, Private, 168283, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 187702, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, >50K
+19, Private, 60661, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 52, United-States, <=50K
+54, Private, 115284, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 45, United-States, >50K
+61, Self-emp-inc, 98350, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Taiwan, >50K
+18, Private, 195372, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+62, ?, 81578, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, >50K
+33, Private, 111567, Assoc-voc, 11, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+51, Private, 244572, HS-grad, 9, Separated, Other-service, Not-in-family, Black, Female, 0, 0, 37, United-States, <=50K
+54, Private, 230919, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 282604, Some-college, 10, Married-civ-spouse, Protective-serv, Other-relative, White, Male, 0, 0, 24, United-States, <=50K
+54, Private, 320196, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, Germany, <=50K
+42, Private, 201466, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+51, Federal-gov, 254211, Masters, 14, Widowed, Sales, Unmarried, White, Male, 0, 0, 50, El-Salvador, >50K
+41, Private, 599629, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 40, United-States, >50K
+47, Local-gov, 219632, Assoc-acdm, 12, Separated, Exec-managerial, Not-in-family, White, Male, 0, 1408, 40, United-States, <=50K
+31, State-gov, 161631, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+21, Private, 202373, Assoc-voc, 11, Never-married, Craft-repair, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+52, Private, 169549, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+20, Private, 127185, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+18, Private, 184277, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+58, Private, 119751, HS-grad, 9, Married-civ-spouse, Priv-house-serv, Other-relative, Asian-Pac-Islander, Female, 0, 0, 60, Philippines, <=50K
+23, Private, 294701, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+21, Private, 26842, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+43, State-gov, 114537, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K
+53, Private, 126386, HS-grad, 9, Divorced, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+18, Private, 163787, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K
+44, Private, 98211, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+31, Private, 175509, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+48, Private, 159854, 1st-4th, 2, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+55, Self-emp-inc, 120920, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+24, Private, 187551, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 20, United-States, <=50K
+41, State-gov, 27305, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+35, Private, 216711, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+47, Local-gov, 218596, Assoc-voc, 11, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+54, Private, 280292, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 32, United-States, <=50K
+40, Private, 200496, Bachelors, 13, Separated, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+56, Self-emp-not-inc, 78090, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 48, United-States, <=50K
+23, Private, 118693, Assoc-voc, 11, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+34, Self-emp-not-inc, 203488, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K
+27, Local-gov, 172091, HS-grad, 9, Never-married, Craft-repair, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K
+32, Private, 113364, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+72, Self-emp-not-inc, 139889, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 74, United-States, <=50K
+43, Local-gov, 301638, 12th, 8, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1579, 40, United-States, <=50K
+32, Private, 110279, Assoc-acdm, 12, Divorced, Prof-specialty, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K
+53, Private, 242859, Some-college, 10, Separated, Adm-clerical, Own-child, White, Male, 0, 0, 40, Cuba, <=50K
+18, Private, 132986, 12th, 8, Never-married, Other-service, Own-child, White, Male, 0, 0, 10, United-States, <=50K
+38, Private, 254439, 10th, 6, Widowed, Transport-moving, Unmarried, Black, Male, 114, 0, 40, United-States, <=50K
+41, Federal-gov, 187462, Assoc-voc, 11, Divorced, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+29, Private, 264961, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 45, United-States, <=50K
+70, ?, 148065, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 4, United-States, >50K
+46, Self-emp-inc, 200949, Bachelors, 13, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, ?, <=50K
+47, Private, 47247, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K
+56, Local-gov, 571017, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 15, United-States, <=50K
+28, Private, 416577, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 2829, 0, 40, United-States, <=50K
+55, State-gov, 296991, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 40, United-States, >50K
+50, State-gov, 45961, Bachelors, 13, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male, 6849, 0, 40, United-States, <=50K
+47, Private, 302711, 11th, 7, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+42, Self-emp-inc, 50356, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 199336, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 25, United-States, <=50K
+42, Private, 341178, 5th-6th, 3, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 44, Mexico, <=50K
+42, Federal-gov, 70240, Some-college, 10, Divorced, Exec-managerial, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K
+46, Private, 229394, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+45, Private, 390368, Some-college, 10, Married-civ-spouse, Sales, Husband, Black, Male, 15024, 0, 99, United-States, >50K
+55, Private, 82098, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 55, United-States, <=50K
+57, Private, 170411, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K
+25, Private, 109532, 12th, 8, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+43, Private, 142682, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 30, Dominican-Republic, <=50K
+34, Self-emp-inc, 127651, Bachelors, 13, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+27, Local-gov, 236472, Bachelors, 13, Divorced, Prof-specialty, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+25, Private, 176047, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Female, 2176, 0, 40, United-States, <=50K
+37, Private, 111499, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+48, Private, 425199, Some-college, 10, Divorced, Sales, Unmarried, White, Male, 0, 0, 45, United-States, <=50K
+38, Private, 229009, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 45, United-States, <=50K
+17, Private, 232713, 10th, 6, Never-married, Craft-repair, Not-in-family, White, Male, 594, 0, 30, United-States, <=50K
+70, Private, 141742, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 9386, 0, 50, United-States, >50K
+37, Private, 234807, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 37, United-States, <=50K
+45, Private, 738812, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 46, United-States, <=50K
+56, Private, 204816, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K
+64, Private, 342494, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+35, Local-gov, 226311, Some-college, 10, Divorced, Adm-clerical, Own-child, White, Female, 0, 0, 38, United-States, <=50K
+23, Private, 143062, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+42, Local-gov, 125155, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 90, United-States, <=50K
+23, Private, 329925, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+26, ?, 208994, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 12, United-States, <=50K
+56, Local-gov, 212864, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K
+41, Private, 214242, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1887, 40, United-States, >50K
+47, Self-emp-not-inc, 191175, 5th-6th, 3, Married-civ-spouse, Sales, Husband, White, Male, 0, 2179, 50, Mexico, <=50K
+21, Private, 118693, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 253593, HS-grad, 9, Never-married, Craft-repair, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+32, State-gov, 206051, Some-college, 10, Married-spouse-absent, Farming-fishing, Own-child, White, Male, 0, 0, 50, United-States, <=50K
+72, Private, 497280, 9th, 5, Widowed, Other-service, Unmarried, Black, Female, 0, 0, 20, United-States, <=50K
+69, Self-emp-not-inc, 240562, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 40, United-States, >50K
+19, Private, 140985, Some-college, 10, Never-married, Adm-clerical, Other-relative, White, Male, 0, 0, 25, United-States, <=50K
+25, Local-gov, 191921, Bachelors, 13, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 25, United-States, <=50K
+56, Private, 204049, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 1848, 50, United-States, >50K
+42, Private, 331651, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 8614, 0, 50, United-States, >50K
+58, Private, 142158, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 35, United-States, <=50K
+24, Private, 249046, Bachelors, 13, Never-married, Tech-support, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+41, Private, 213019, Assoc-voc, 11, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 38, United-States, >50K
+40, Private, 199599, 10th, 6, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+37, Private, 186191, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 45, ?, <=50K
+25, Private, 28008, Assoc-acdm, 12, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+43, Self-emp-inc, 82488, Bachelors, 13, Married-civ-spouse, Sales, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, >50K
+36, Private, 117073, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+41, Private, 325786, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 37546, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+22, Private, 204226, HS-grad, 9, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+36, Private, 133299, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+42, Private, 29702, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 307812, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K
+25, Private, 174545, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 46, United-States, <=50K
+23, Private, 233472, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 184147, HS-grad, 9, Separated, Sales, Unmarried, Black, Female, 0, 0, 20, United-States, <=50K
+27, Private, 198188, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 2580, 0, 45, United-States, <=50K
+32, Private, 447066, Bachelors, 13, Married-civ-spouse, Sales, Husband, Black, Male, 15024, 0, 50, United-States, >50K
+33, Private, 200246, Some-college, 10, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 166585, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K
+21, Private, 335570, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 30, ?, <=50K
+39, Private, 53569, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+50, Private, 167065, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+32, Private, 113364, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+40, Federal-gov, 219266, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+58, Federal-gov, 200042, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 40, United-States, >50K
+20, Private, 205975, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+63, ?, 234083, HS-grad, 9, Divorced, ?, Not-in-family, White, Female, 0, 2205, 40, United-States, <=50K
+56, Private, 65325, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, <=50K
+30, Local-gov, 194740, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K
+39, Private, 99065, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 39, United-States, <=50K
+25, Private, 212793, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, >50K
+33, Private, 112941, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K
+41, State-gov, 187322, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+50, Private, 283676, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+44, Private, 173682, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 168470, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 186454, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 13550, 0, 40, United-States, >50K
+58, Private, 141807, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Italy, <=50K
+25, Private, 245628, Some-college, 10, Never-married, Tech-support, Own-child, White, Male, 0, 0, 15, Mexico, <=50K
+31, Private, 264864, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K
+39, Private, 262841, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+55, Private, 37438, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+22, Private, 170800, Assoc-voc, 11, Never-married, Other-service, Own-child, White, Female, 0, 0, 12, United-States, <=50K
+44, Private, 152150, Assoc-acdm, 12, Separated, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+41, ?, 211873, Assoc-voc, 11, Married-civ-spouse, ?, Wife, White, Female, 0, 1628, 5, ?, <=50K
+44, Private, 159580, 12th, 8, Divorced, Transport-moving, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+61, Private, 477209, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 54, United-States, <=50K
+32, Private, 70985, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 241998, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+28, Private, 249541, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+57, Private, 135339, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, >50K
+32, Private, 44675, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 65, United-States, >50K
+46, State-gov, 247992, 7th-8th, 4, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+26, Self-emp-not-inc, 221626, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 1579, 20, United-States, <=50K
+43, Self-emp-inc, 48087, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+62, Local-gov, 114045, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+60, State-gov, 69251, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 38, China, >50K
+67, Private, 192670, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+19, Private, 268392, HS-grad, 9, Never-married, Sales, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K
+55, ?, 170994, HS-grad, 9, Never-married, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+48, Private, 431513, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 65, United-States, >50K
+19, State-gov, 37332, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+19, Private, 35865, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+43, Private, 183891, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+31, Private, 150309, Doctorate, 16, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 90, United-States, <=50K
+65, Private, 93318, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 45, United-States, <=50K
+32, Private, 171814, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+36, State-gov, 183735, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+41, Private, 353541, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+33, Local-gov, 152351, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 3908, 0, 40, United-States, <=50K
+72, ?, 271352, 10th, 6, Divorced, ?, Not-in-family, White, Male, 0, 0, 12, United-States, <=50K
+34, Private, 345705, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1977, 50, United-States, >50K
+27, Private, 223751, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+75, Self-emp-inc, 164570, 11th, 7, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+39, ?, 281363, 10th, 6, Widowed, ?, Unmarried, White, Female, 0, 0, 15, United-States, <=50K
+51, Private, 110747, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1887, 40, United-States, >50K
+47, Private, 34458, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 254293, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 270147, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, >50K
+48, Private, 195491, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+36, Local-gov, 255454, Bachelors, 13, Never-married, Protective-serv, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+18, Private, 126125, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+33, Private, 618191, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+34, Private, 163110, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+51, Private, 145409, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 3103, 0, 48, United-States, >50K
+39, State-gov, 235379, Assoc-acdm, 12, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+20, Private, 55465, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+67, Local-gov, 181220, Some-college, 10, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 0, 20, United-States, <=50K
+42, Private, 26672, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K
+59, Private, 98361, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+31, Local-gov, 219883, HS-grad, 9, Never-married, Protective-serv, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+19, Private, 376683, Some-college, 10, Never-married, Other-service, Unmarried, Black, Female, 2036, 0, 30, United-States, <=50K
+47, Private, 33865, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K
+68, Private, 168794, 7th-8th, 4, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 30, United-States, <=50K
+30, Private, 94245, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 34572, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+49, Private, 348751, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 65382, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+60, Private, 116707, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 7298, 0, 40, United-States, >50K
+51, Private, 178054, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, ?, >50K
+24, Private, 140001, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+18, Private, 166889, Some-college, 10, Never-married, Handlers-cleaners, Own-child, Black, Female, 0, 1602, 35, United-States, <=50K
+24, Private, 117789, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+21, Private, 238917, 5th-6th, 3, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+48, Local-gov, 242923, HS-grad, 9, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 1848, 40, United-States, >50K
+52, Local-gov, 330799, 9th, 5, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K
+48, Private, 209460, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+40, Federal-gov, 75313, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 66, United-States, >50K
+29, ?, 339100, 11th, 7, Divorced, ?, Not-in-family, White, Female, 3418, 0, 48, United-States, <=50K
+20, Private, 184779, Some-college, 10, Never-married, Tech-support, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+31, Private, 139000, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 25, United-States, <=50K
+30, Private, 361742, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K
+30, Private, 260782, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, ?, <=50K
+51, Private, 203435, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+29, Private, 100579, Assoc-voc, 11, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+56, Self-emp-not-inc, 356067, Masters, 14, Never-married, Sales, Not-in-family, White, Male, 0, 0, 16, United-States, <=50K
+46, Private, 87250, Bachelors, 13, Separated, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+41, Private, 264663, Some-college, 10, Separated, Prof-specialty, Own-child, White, Female, 0, 3900, 40, United-States, <=50K
+29, Private, 255817, 5th-6th, 3, Never-married, Other-service, Other-relative, White, Female, 0, 0, 40, El-Salvador, <=50K
+48, Self-emp-not-inc, 243631, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 30, South, <=50K
+34, Self-emp-inc, 544268, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+42, Self-emp-not-inc, 98061, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K
+25, Private, 95691, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 30, Columbia, <=50K
+47, Private, 145868, 11th, 7, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+23, Private, 65038, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+43, Local-gov, 227734, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 22, United-States, <=50K
+19, Local-gov, 176831, Some-college, 10, Never-married, Other-service, Own-child, Black, Female, 0, 0, 35, United-States, <=50K
+22, Private, 211678, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+40, Local-gov, 157240, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 70, United-States, <=50K
+41, Self-emp-not-inc, 145441, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Yugoslavia, <=50K
+71, Self-emp-inc, 66624, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2392, 60, United-States, >50K
+42, Private, 76487, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, <=50K
+31, State-gov, 557853, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 47, United-States, <=50K
+69, ?, 262352, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 32, United-States, <=50K
+58, Self-emp-not-inc, 118253, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 70, United-States, <=50K
+36, Private, 146625, 11th, 7, Widowed, Other-service, Unmarried, Black, Female, 0, 0, 12, United-States, <=50K
+31, Private, 174201, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 65, United-States, <=50K
+20, ?, 66695, Some-college, 10, Never-married, ?, Own-child, Other, Female, 594, 0, 35, United-States, <=50K
+41, Private, 121130, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+35, Private, 385847, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+62, ?, 83439, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 114158, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+27, Private, 381789, 12th, 8, Married-civ-spouse, Farming-fishing, Own-child, White, Male, 0, 0, 55, United-States, <=50K
+17, Private, 82041, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, Canada, <=50K
+35, Self-emp-not-inc, 115618, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, >50K
+45, Self-emp-not-inc, 106110, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 99, United-States, <=50K
+44, Private, 267521, Bachelors, 13, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+27, Private, 90692, Assoc-voc, 11, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K
+51, Private, 57101, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+49, Private, 236913, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+64, Self-emp-not-inc, 388625, 10th, 6, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 10, United-States, >50K
+54, Self-emp-not-inc, 261207, 7th-8th, 4, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 45, Cuba, <=50K
+43, Private, 245487, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Other, Male, 0, 0, 40, Mexico, <=50K
+32, Private, 262153, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 35, United-States, <=50K
+36, Private, 225516, Assoc-acdm, 12, Never-married, Sales, Not-in-family, Black, Male, 10520, 0, 43, United-States, >50K
+26, Self-emp-not-inc, 68729, HS-grad, 9, Never-married, Sales, Other-relative, Asian-Pac-Islander, Male, 0, 0, 50, United-States, >50K
+37, Private, 126954, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+38, Private, 85074, Assoc-acdm, 12, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+26, Private, 383306, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+50, Private, 128143, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1887, 50, United-States, >50K
+47, Private, 185041, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 40, United-States, >50K
+42, Private, 99373, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+66, Local-gov, 157942, HS-grad, 9, Widowed, Transport-moving, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+43, Private, 241928, HS-grad, 9, Separated, Adm-clerical, Not-in-family, Black, Female, 0, 0, 32, United-States, <=50K
+37, Private, 348739, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K
+37, Private, 95654, 10th, 6, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 35, United-States, <=50K
+25, Private, 367306, Some-college, 10, Never-married, Tech-support, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+29, Private, 270421, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K
+63, ?, 221592, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, >50K
+50, Self-emp-not-inc, 156951, Assoc-acdm, 12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 3103, 0, 40, United-States, >50K
+42, State-gov, 39239, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K
+32, Private, 72744, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+42, State-gov, 367292, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K
+41, Self-emp-not-inc, 408498, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K
+25, Private, 361493, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 3325, 0, 40, United-States, <=50K
+65, Self-emp-inc, 157403, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K
+32, Private, 231263, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, <=50K
+32, Private, 244147, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 10, United-States, <=50K
+24, Private, 220944, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K
+51, Federal-gov, 314007, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+67, ?, 200862, 10th, 6, Never-married, ?, Not-in-family, Black, Female, 0, 0, 35, United-States, <=50K
+28, Private, 33374, 11th, 7, Married-spouse-absent, Other-service, Unmarried, White, Female, 0, 0, 35, United-States, <=50K
+32, Self-emp-inc, 345489, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K
+77, Private, 83601, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+47, Private, 162302, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 20, United-States, <=50K
+26, Private, 112847, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 147344, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+57, State-gov, 183657, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 35, United-States, >50K
+40, Private, 130760, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K
+50, Private, 163948, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+19, Private, 316797, 7th-8th, 4, Married-civ-spouse, Handlers-cleaners, Own-child, White, Male, 0, 0, 45, Mexico, <=50K
+54, Federal-gov, 332243, 12th, 8, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+51, Local-gov, 195844, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K
+51, Local-gov, 387250, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, >50K
+38, State-gov, 188303, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 7688, 0, 40, United-States, >50K
+68, ?, 40956, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 25, United-States, <=50K
+17, Private, 178953, 12th, 8, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+32, Private, 398988, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 535978, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+42, Private, 296982, Some-college, 10, Divorced, Sales, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 231991, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+27, Private, 295799, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+22, State-gov, 201569, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+58, Private, 193568, 11th, 7, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+61, Private, 97128, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K
+42, Private, 203393, Bachelors, 13, Married-civ-spouse, Craft-repair, Wife, Black, Female, 0, 0, 35, United-States, >50K
+49, Private, 138370, Masters, 14, Married-spouse-absent, Protective-serv, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, India, <=50K
+41, Self-emp-inc, 120277, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, ?, <=50K
+43, Private, 91949, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+46, Private, 228372, Bachelors, 13, Divorced, Sales, Unmarried, White, Male, 0, 0, 40, United-States, >50K
+28, Private, 132191, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, >50K
+39, Self-emp-not-inc, 274683, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 50, United-States, >50K
+50, Local-gov, 196307, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 40, United-States, >50K
+57, Private, 195835, Some-college, 10, Married-spouse-absent, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+47, Private, 185399, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 38, United-States, <=50K
+79, Self-emp-not-inc, 103684, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 140559, HS-grad, 9, Married-civ-spouse, Priv-house-serv, Wife, White, Female, 0, 0, 45, United-States, <=50K
+35, Federal-gov, 110188, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Vietnam, <=50K
+35, Local-gov, 668319, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1740, 80, United-States, <=50K
+30, Private, 112358, Bachelors, 13, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 60, United-States, >50K
+26, Private, 151810, 10th, 6, Never-married, Farming-fishing, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+49, Private, 48120, HS-grad, 9, Never-married, Transport-moving, Unmarried, Black, Female, 1506, 0, 40, United-States, <=50K
+48, Private, 144844, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 205839, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+22, Private, 113760, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+50, Private, 138358, 10th, 6, Separated, Adm-clerical, Not-in-family, Black, Female, 0, 0, 47, Jamaica, <=50K
+47, Self-emp-not-inc, 216657, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K
+36, Private, 278576, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K
+44, Private, 174373, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+73, Private, 220019, 9th, 5, Widowed, Other-service, Unmarried, White, Female, 0, 0, 9, United-States, <=50K
+24, ?, 311949, HS-grad, 9, Never-married, ?, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 45, ?, <=50K
+34, Private, 303867, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+37, Private, 154210, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Hong, <=50K
+28, ?, 131310, 12th, 8, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 20, Germany, <=50K
+46, Private, 202560, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K
+20, ?, 358783, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+29, Private, 423024, 5th-6th, 3, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+24, Private, 206671, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+29, State-gov, 245310, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+18, Private, 31983, 12th, 8, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+41, Private, 124956, Bachelors, 13, Divorced, Exec-managerial, Unmarried, Black, Female, 0, 0, 90, United-States, >50K
+59, Private, 118358, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+27, Private, 491421, 5th-6th, 3, Never-married, Farming-fishing, Unmarried, White, Male, 0, 0, 50, United-States, <=50K
+50, Private, 151580, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+25, Private, 248990, 1st-4th, 2, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 24, Mexico, <=50K
+42, Private, 157425, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 45, United-States, <=50K
+36, Private, 221650, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Japan, <=50K
+62, Private, 88055, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 60, United-States, >50K
+71, Private, 216608, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+38, Private, 682947, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 55, United-States, >50K
+44, Private, 228124, HS-grad, 9, Married-spouse-absent, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+19, ?, 217194, 10th, 6, Never-married, ?, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+49, Self-emp-not-inc, 171540, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K
+60, Self-emp-inc, 210827, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 40, United-States, >50K
+28, Self-emp-not-inc, 410351, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, Poland, <=50K
+26, Private, 163747, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K
+18, Private, 108892, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 12, United-States, <=50K
+43, Private, 180096, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K
+65, Local-gov, 153890, 12th, 8, Widowed, Exec-managerial, Not-in-family, White, Male, 2009, 0, 44, United-States, <=50K
+23, Private, 117480, 10th, 6, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 44, United-States, <=50K
+21, Private, 163333, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+20, Self-emp-not-inc, 306710, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+19, Private, 150553, Some-college, 10, Never-married, Sales, Own-child, Asian-Pac-Islander, Female, 0, 0, 18, Philippines, <=50K
+77, Private, 123959, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K
+32, Private, 24961, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K
+37, Local-gov, 327120, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 30, United-States, <=50K
+29, Self-emp-not-inc, 33798, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K
+59, Private, 81929, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2415, 45, United-States, >50K
+22, Private, 298489, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+30, ?, 101697, Bachelors, 13, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 20, United-States, <=50K
+31, Private, 144064, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, >50K
+59, Self-emp-not-inc, 195835, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K
+29, Federal-gov, 184723, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, >50K
+56, Private, 265086, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K
+19, Private, 235909, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+37, Private, 42645, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K
+58, State-gov, 279878, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+41, Private, 104892, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+29, Private, 137063, HS-grad, 9, Never-married, Sales, Unmarried, White, Male, 0, 0, 38, United-States, <=50K
+38, Self-emp-not-inc, 58972, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K
+36, Private, 126675, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 50, United-States, >50K
+19, Private, 286435, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 594, 0, 40, United-States, <=50K
+46, Private, 191389, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 28, United-States, >50K
+42, Private, 183241, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 45, United-States, >50K
+29, Private, 91547, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+42, Private, 52781, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 40, United-States, >50K
+29, Private, 210959, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+47, Private, 365516, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+37, Private, 112271, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+39, Private, 269455, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 45, United-States, <=50K
+46, Private, 164379, Bachelors, 13, Divorced, Sales, Unmarried, Black, Female, 0, 0, 35, United-States, >50K
+28, Private, 109621, Assoc-acdm, 12, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 104858, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 56, United-States, >50K
+39, Private, 99270, HS-grad, 9, Divorced, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+44, Private, 193524, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+70, ?, 149040, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 2964, 0, 12, United-States, <=50K
+60, State-gov, 313946, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 162358, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, >50K
+59, Private, 200700, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 48, United-States, >50K
+21, Private, 116489, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 60, United-States, <=50K
+22, Private, 118310, Assoc-acdm, 12, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 16, United-States, <=50K
+31, Private, 352465, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K
+40, Private, 107433, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 50, United-States, >50K
+33, Private, 296538, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K
+41, Local-gov, 195897, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K
+31, Self-emp-not-inc, 216283, Assoc-acdm, 12, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 35, United-States, >50K
+62, Private, 345780, Assoc-voc, 11, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+43, Private, 216685, HS-grad, 9, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 35, United-States, <=50K
+28, Local-gov, 210945, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Black, Female, 0, 0, 60, United-States, <=50K
+43, Private, 184321, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 1887, 40, United-States, >50K
+55, Self-emp-not-inc, 322691, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 3103, 0, 55, United-States, >50K
+42, Private, 192712, HS-grad, 9, Separated, Other-service, Unmarried, White, Female, 0, 0, 25, United-States, <=50K
+23, Private, 178272, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+55, Federal-gov, 321333, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+44, Self-emp-inc, 120277, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 45, United-States, >50K
+19, Private, 294029, 11th, 7, Never-married, Sales, Own-child, Other, Female, 0, 0, 32, Nicaragua, <=50K
+23, Private, 112819, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+41, Private, 152636, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 50, United-States, <=50K
+63, ?, 301611, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 20, United-States, <=50K
+51, Private, 134808, HS-grad, 9, Separated, Handlers-cleaners, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+49, Private, 64216, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 90, United-States, <=50K
+29, State-gov, 214284, Masters, 14, Never-married, Prof-specialty, Unmarried, Asian-Pac-Islander, Female, 0, 0, 20, Taiwan, <=50K
+25, Private, 469572, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 8614, 0, 40, United-States, >50K
+44, Self-emp-not-inc, 282722, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 50, United-States, >50K
+17, Private, 231439, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+42, Self-emp-inc, 120277, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+21, Private, 364685, 11th, 7, Never-married, Tech-support, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+26, Private, 18827, Some-college, 10, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 169129, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 202051, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 42, United-States, >50K
+58, ?, 353244, Bachelors, 13, Widowed, ?, Unmarried, White, Female, 27828, 0, 50, United-States, >50K
+19, Private, 574271, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 28, United-States, <=50K
+65, State-gov, 29276, 7th-8th, 4, Widowed, Other-service, Other-relative, White, Female, 0, 0, 24, United-States, <=50K
+52, Self-emp-not-inc, 104501, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 60, United-States, >50K
+17, Private, 394176, 10th, 6, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+27, Private, 85625, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 22, United-States, <=50K
+53, Private, 340723, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+24, Private, 149342, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+37, Private, 73715, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+34, Private, 143083, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 18, United-States, <=50K
+40, Local-gov, 290660, Assoc-acdm, 12, Divorced, Exec-managerial, Not-in-family, White, Male, 8614, 0, 50, United-States, >50K
+49, Local-gov, 98738, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+86, Private, 149912, Masters, 14, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+49, Private, 309033, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Wife, White, Female, 15024, 0, 60, United-States, >50K
+43, Self-emp-not-inc, 96129, 11th, 7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 60, United-States, <=50K
+47, Private, 216096, Some-college, 10, Married-spouse-absent, Exec-managerial, Unmarried, White, Female, 0, 0, 35, Puerto-Rico, <=50K
+32, Private, 171091, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K
+30, Self-emp-not-inc, 79303, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K
+25, Local-gov, 182380, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+42, Private, 36271, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+60, Private, 118197, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 65, United-States, <=50K
+46, Private, 269652, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 4386, 0, 38, United-States, >50K
+39, Local-gov, 193815, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K
+28, Private, 141957, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 1887, 70, United-States, >50K
+26, Private, 222637, 10th, 6, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 55, Puerto-Rico, <=50K
+27, Private, 118230, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+59, Private, 174040, Some-college, 10, Divorced, Prof-specialty, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+64, State-gov, 105748, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K
+90, Self-emp-not-inc, 82628, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 2964, 0, 12, United-States, <=50K
+51, Private, 205100, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 0, 0, 45, United-States, >50K
+36, Private, 107916, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 2002, 40, United-States, <=50K
+39, Private, 130620, 7th-8th, 4, Married-spouse-absent, Machine-op-inspct, Unmarried, Other, Female, 0, 0, 40, Dominican-Republic, <=50K
+30, ?, 361817, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 25, United-States, <=50K
+47, Self-emp-not-inc, 235646, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+32, Private, 53277, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K
+24, Private, 456460, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K
+23, Private, 293091, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+62, Private, 210935, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 20, United-States, <=50K
+48, ?, 199763, Some-college, 10, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 20, United-States, <=50K
+62, ?, 223447, 12th, 8, Divorced, ?, Not-in-family, White, Male, 0, 0, 40, Canada, <=50K
+35, Self-emp-not-inc, 233533, Bachelors, 13, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K
+27, Private, 95647, Bachelors, 13, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K
+49, Private, 199763, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+18, Private, 74539, 10th, 6, Never-married, Sales, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K
+19, Private, 84610, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+63, Self-emp-inc, 96930, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+54, Private, 115602, HS-grad, 9, Married-civ-spouse, Other-service, Wife, Black, Female, 0, 0, 40, United-States, <=50K
+24, Private, 237341, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K
+61, Private, 143800, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K
+50, Self-emp-inc, 163921, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 48, United-States, >50K
+36, Private, 68273, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+21, Private, 113163, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 50, United-States, <=50K
+38, Self-emp-inc, 478829, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 50, United-States, >50K
+30, Private, 345705, Some-college, 10, Married-civ-spouse, Exec-managerial, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 385077, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 2907, 0, 40, United-States, <=50K
+33, Private, 192286, Some-college, 10, Divorced, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 52, United-States, <=50K
+39, Local-gov, 236391, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 38, United-States, >50K
+42, Private, 106679, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K
+47, ?, 308242, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+42, Local-gov, 46094, Bachelors, 13, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 33, United-States, <=50K
+29, Private, 194940, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 341643, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K
+23, Private, 210474, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+28, Private, 76313, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male, 0, 0, 60, United-States, <=50K
+34, Private, 115858, HS-grad, 9, Divorced, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+40, Private, 55191, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+67, Self-emp-not-inc, 364862, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+49, Private, 334787, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 205733, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+60, ?, 120163, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 333677, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 2463, 0, 35, United-States, <=50K
+25, Private, 208591, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 341204, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 1831, 0, 30, United-States, <=50K
+56, Self-emp-not-inc, 115422, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K
+35, Self-emp-inc, 111319, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 1887, 45, United-States, >50K
+54, Private, 816750, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 2051, 40, United-States, <=50K
+25, Private, 167835, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 3325, 0, 40, United-States, <=50K
+28, Private, 92262, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 91964, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+45, Private, 107682, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+52, State-gov, 135388, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 5013, 0, 40, United-States, <=50K
+39, Self-emp-not-inc, 597843, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, Columbia, <=50K
+19, Private, 389942, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 442274, 12th, 8, Never-married, Adm-clerical, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 595461, 7th-8th, 4, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K
+52, Private, 284329, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 40, United-States, >50K
+33, Self-emp-not-inc, 127894, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K
+35, Private, 196899, Bachelors, 13, Never-married, Handlers-cleaners, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 50, Haiti, <=50K
+58, Private, 212534, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+61, Private, 71209, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K
+39, Private, 237943, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 70, United-States, >50K
+38, Private, 190759, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+59, Private, 100313, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 40, United-States, >50K
+41, Private, 344624, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, >50K
+27, ?, 194024, 9th, 5, Separated, ?, Unmarried, White, Female, 0, 0, 50, United-States, <=50K
+19, Private, 87497, 11th, 7, Never-married, Transport-moving, Other-relative, White, Male, 0, 0, 10, United-States, <=50K
+22, Private, 236907, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+59, Private, 169639, Assoc-acdm, 12, Widowed, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+37, Private, 105803, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 3103, 0, 45, United-States, >50K
+31, Private, 149507, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 43, United-States, <=50K
+18, Private, 294387, 11th, 7, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 161708, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+28, Private, 282389, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+28, Private, 64940, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+49, Private, 195727, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+38, Local-gov, 37931, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K
+19, Private, 170720, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+43, Private, 152958, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 40, United-States, >50K
+28, Private, 312372, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 15024, 0, 40, United-States, >50K
+41, Private, 39581, Some-college, 10, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 0, 24, El-Salvador, <=50K
+50, Private, 206862, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 65, United-States, >50K
+46, Private, 216934, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, Portugal, <=50K
+20, Private, 143062, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+45, Private, 242391, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K
+28, Private, 165030, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+37, Private, 199251, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K
+46, Self-emp-not-inc, 353012, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 50, United-States, >50K
+66, Private, 174491, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+35, ?, 333305, Some-college, 10, Married-civ-spouse, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+38, Private, 203138, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 50, United-States, >50K
+25, Private, 220220, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 45, United-States, <=50K
+55, Federal-gov, 305850, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 40, United-States, >50K
+48, Local-gov, 273402, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1902, 40, United-States, <=50K
+56, Private, 201344, Some-college, 10, Widowed, Craft-repair, Unmarried, White, Female, 0, 0, 38, United-States, <=50K
+47, Self-emp-not-inc, 218676, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K
+55, Self-emp-not-inc, 141807, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+41, State-gov, 222434, Assoc-acdm, 12, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K
+47, Private, 266860, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 65, United-States, >50K
+40, Private, 34113, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, Amer-Indian-Eskimo, Male, 6849, 0, 43, United-States, <=50K
+41, Private, 159549, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 195248, Some-college, 10, Never-married, Sales, Own-child, Other, Female, 0, 0, 20, United-States, <=50K
+52, Private, 109413, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+62, Private, 195343, Doctorate, 16, Divorced, Prof-specialty, Unmarried, White, Male, 15020, 0, 50, United-States, >50K
+46, Private, 185291, 11th, 7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 45, United-States, >50K
+21, ?, 140012, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+35, Self-emp-not-inc, 114366, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 169631, HS-grad, 9, Married-spouse-absent, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+21, Private, 163870, 10th, 6, Married-civ-spouse, Other-service, Husband, White, Male, 3908, 0, 40, United-States, <=50K
+35, Private, 312232, HS-grad, 9, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+46, Private, 229737, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, India, >50K
+70, ?, 306563, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 161637, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 1902, 40, Taiwan, >50K
+34, Private, 106014, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+21, Private, 25265, Assoc-voc, 11, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+29, Private, 71860, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K
+41, Self-emp-inc, 94113, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K
+51, Self-emp-not-inc, 208003, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 113550, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+47, Private, 83046, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+42, Self-emp-inc, 277488, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 65, United-States, >50K
+19, Private, 205830, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, El-Salvador, <=50K
+46, Private, 273575, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 15024, 0, 40, United-States, >50K
+23, Private, 245147, Some-college, 10, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+49, Private, 274720, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+58, Self-emp-not-inc, 163047, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+41, State-gov, 47902, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, >50K
+50, Private, 128798, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K
+77, Private, 154205, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 10, United-States, <=50K
+27, Private, 176683, Assoc-voc, 11, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 60, United-States, <=50K
+29, Self-emp-inc, 104737, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K
+54, Private, 349340, Preschool, 1, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, India, <=50K
+39, State-gov, 218249, Some-college, 10, Separated, Prof-specialty, Unmarried, Black, Female, 0, 0, 37, United-States, <=50K
+32, Private, 281540, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 50, United-States, <=50K
+36, Federal-gov, 112847, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K
+24, Local-gov, 126613, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+50, Self-emp-not-inc, 145419, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 45, United-States, >50K
+32, Self-emp-not-inc, 34572, HS-grad, 9, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K
+26, Private, 104045, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+49, ?, 57665, Bachelors, 13, Divorced, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+38, Private, 359001, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 42, United-States, <=50K
+47, Private, 105273, Bachelors, 13, Widowed, Craft-repair, Unmarried, Black, Female, 6497, 0, 40, United-States, <=50K
+31, Private, 201122, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+38, Private, 160035, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K
+50, Private, 167886, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+18, Private, 32059, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+59, Self-emp-inc, 200453, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+56, Self-emp-not-inc, 403072, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K
+34, Private, 37210, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 50, United-States, <=50K
+32, Private, 199416, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 413227, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+29, ?, 188675, Some-college, 10, Divorced, ?, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+42, Private, 226902, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 45, United-States, >50K
+37, Private, 195189, Some-college, 10, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+36, Private, 116608, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+59, Private, 99131, Masters, 14, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, >50K
+32, Private, 553405, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 99999, 0, 50, United-States, >50K
+52, Local-gov, 186117, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 56, United-States, >50K
+29, State-gov, 67053, HS-grad, 9, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, Thailand, <=50K
+39, Private, 347960, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Female, 14084, 0, 35, United-States, >50K
+39, Private, 325374, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+69, Private, 130413, Bachelors, 13, Widowed, Exec-managerial, Not-in-family, White, Female, 2346, 0, 15, United-States, <=50K
+43, Private, 111949, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 35, United-States, <=50K
+39, Private, 278557, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1628, 48, United-States, <=50K
+19, Private, 194905, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+60, Local-gov, 195453, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K
+51, Private, 282549, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 3137, 0, 40, United-States, <=50K
+75, Private, 316119, Some-college, 10, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 8, United-States, <=50K
+37, State-gov, 252939, Assoc-voc, 11, Never-married, Prof-specialty, Unmarried, Black, Female, 5455, 0, 40, United-States, <=50K
+24, State-gov, 506329, Some-college, 10, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, ?, <=50K
+20, Private, 316043, 11th, 7, Never-married, Other-service, Own-child, Black, Male, 594, 0, 20, United-States, <=50K
+58, Federal-gov, 319733, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 70, United-States, <=50K
+21, State-gov, 99199, Masters, 14, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 15, United-States, <=50K
+28, Private, 204600, HS-grad, 9, Separated, Protective-serv, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 173307, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+45, Self-emp-not-inc, 34446, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K
+40, Self-emp-not-inc, 237293, Prof-school, 15, Married-civ-spouse, Prof-specialty, Wife, White, Female, 15024, 0, 40, United-States, >50K
+41, Private, 175642, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+58, Private, 203735, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+44, Local-gov, 171589, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 40, United-States, >50K
+26, Private, 197967, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 65, United-States, <=50K
+29, Private, 413297, Assoc-acdm, 12, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, Mexico, <=50K
+45, Private, 240841, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+23, Private, 152189, Assoc-acdm, 12, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+39, State-gov, 85874, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+45, Self-emp-not-inc, 176814, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 40, United-States, >50K
+51, Local-gov, 133336, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 40, United-States, >50K
+22, Private, 362623, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+67, ?, 37170, 7th-8th, 4, Divorced, ?, Not-in-family, White, Male, 0, 0, 3, United-States, <=50K
+28, Private, 30912, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 35448, Some-college, 10, Never-married, Other-service, Unmarried, White, Female, 0, 0, 25, United-States, <=50K
+33, Private, 173248, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 35, United-States, <=50K
+37, Private, 49626, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 43, United-States, <=50K
+19, Private, 102723, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+90, ?, 166343, 1st-4th, 2, Widowed, ?, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+35, Private, 168322, 11th, 7, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K
+62, Private, 131117, 7th-8th, 4, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 38, Columbia, <=50K
+20, ?, 210474, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+25, Private, 110138, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 107452, HS-grad, 9, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 160594, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+32, Local-gov, 186784, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 5013, 0, 45, United-States, <=50K
+70, Local-gov, 334666, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 12, United-States, <=50K
+65, ?, 191380, 10th, 6, Married-civ-spouse, ?, Husband, White, Male, 9386, 0, 50, United-States, >50K
+57, Private, 104272, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 19491, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 128715, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K
+34, Private, 128063, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 36, United-States, <=50K
+26, Self-emp-not-inc, 37023, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 78, United-States, <=50K
+44, Private, 68748, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 48, United-States, <=50K
+66, Private, 140576, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+39, Local-gov, 327435, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+31, Private, 202729, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K
+53, Private, 277471, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K
+36, Private, 189670, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 50, United-States, <=50K
+61, Private, 204908, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+43, Private, 171841, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+38, Private, 78247, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 68895, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 50, Mexico, <=50K
+27, Private, 56658, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Amer-Indian-Eskimo, Male, 0, 0, 8, United-States, <=50K
+58, Local-gov, 259216, 9th, 5, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+37, State-gov, 270278, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 12, Puerto-Rico, <=50K
+56, Private, 238806, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 26, United-States, <=50K
+36, Private, 111128, Some-college, 10, Separated, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, United-States, >50K
+29, Private, 119429, HS-grad, 9, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+28, Private, 73037, 10th, 6, Never-married, Transport-moving, Unmarried, White, Male, 0, 0, 30, United-States, <=50K
+61, Self-emp-not-inc, 84409, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+66, Self-emp-not-inc, 274451, 9th, 5, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 25, United-States, >50K
+31, Private, 246439, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 7298, 0, 50, United-States, >50K
+21, Private, 124242, Assoc-acdm, 12, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+67, Self-emp-not-inc, 123393, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 6418, 0, 58, United-States, >50K
+26, Private, 159732, HS-grad, 9, Widowed, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 161415, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+33, Private, 157568, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 168030, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 32, United-States, <=50K
+59, State-gov, 349910, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 10605, 0, 50, United-States, >50K
+82, Self-emp-inc, 130329, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K
+34, State-gov, 56964, Doctorate, 16, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 50, United-States, >50K
+29, Private, 370509, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, France, >50K
+19, Private, 106306, Some-college, 10, Divorced, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+57, Self-emp-not-inc, 56480, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 1, United-States, <=50K
+41, Private, 115932, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 50, United-States, >50K
+55, Private, 154580, 10th, 6, Married-civ-spouse, Other-service, Husband, Black, Male, 2580, 0, 40, United-States, <=50K
+27, Private, 404421, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+33, Private, 194901, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+43, State-gov, 164790, Some-college, 10, Divorced, Adm-clerical, Not-in-family, Black, Male, 0, 0, 50, United-States, >50K
+72, Federal-gov, 94242, Some-college, 10, Widowed, Tech-support, Not-in-family, White, Female, 0, 0, 16, United-States, <=50K
+68, Self-emp-not-inc, 365020, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 160512, HS-grad, 9, Separated, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+41, Private, 170331, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K
+30, Private, 101266, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 100252, Bachelors, 13, Divorced, Other-service, Not-in-family, Asian-Pac-Islander, Male, 99999, 0, 70, United-States, >50K
+54, Private, 217718, 5th-6th, 3, Married-spouse-absent, Other-service, Unmarried, Black, Female, 0, 0, 30, Haiti, <=50K
+32, Private, 170154, Assoc-acdm, 12, Separated, Exec-managerial, Unmarried, White, Female, 25236, 0, 50, United-States, >50K
+56, Private, 105281, HS-grad, 9, Widowed, Sales, Not-in-family, White, Female, 0, 1974, 40, United-States, <=50K
+39, ?, 361838, Bachelors, 13, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 6, United-States, >50K
+41, State-gov, 283917, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, >50K
+48, Private, 39530, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+66, Self-emp-not-inc, 212185, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 48, United-States, <=50K
+25, Self-emp-inc, 90752, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+31, Private, 202450, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 1573, 40, United-States, <=50K
+32, Private, 168138, Assoc-acdm, 12, Divorced, Sales, Not-in-family, White, Male, 2597, 0, 48, United-States, <=50K
+51, Private, 159755, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 40, United-States, >50K
+42, Private, 191765, HS-grad, 9, Never-married, Adm-clerical, Other-relative, Black, Female, 0, 2339, 40, Trinadad&Tobago, <=50K
+22, ?, 210802, Some-college, 10, Never-married, ?, Not-in-family, Black, Female, 0, 0, 35, United-States, <=50K
+31, Private, 340880, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K
+43, Self-emp-not-inc, 113211, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K
+42, Private, 134509, Some-college, 10, Never-married, Transport-moving, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+20, State-gov, 147280, HS-grad, 9, Never-married, Other-service, Other-relative, Other, Male, 0, 0, 40, United-States, <=50K
+40, Private, 145441, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+65, Private, 398001, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+53, Private, 31588, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 52, United-States, >50K
+56, Private, 189975, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1902, 60, United-States, >50K
+51, State-gov, 231495, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 55, United-States, >50K
+38, ?, 121135, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+44, Private, 186916, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+49, Self-emp-inc, 213140, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 60, United-States, >50K
+47, Private, 176893, HS-grad, 9, Divorced, Craft-repair, Not-in-family, Black, Male, 8614, 0, 44, United-States, >50K
+22, Private, 115244, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, <=50K
+53, Private, 313243, Some-college, 10, Separated, Craft-repair, Not-in-family, White, Male, 0, 2444, 45, United-States, >50K
+41, Local-gov, 169995, Some-college, 10, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K
+19, Private, 198459, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 2001, 40, United-States, <=50K
+27, Local-gov, 66824, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Amer-Indian-Eskimo, Female, 3325, 0, 43, United-States, <=50K
+48, Self-emp-not-inc, 52240, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 25, United-States, >50K
+52, Private, 35305, 7th-8th, 4, Never-married, Other-service, Own-child, White, Female, 0, 0, 7, United-States, <=50K
+61, State-gov, 186451, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 40, United-States, >50K
+45, Self-emp-not-inc, 160724, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 45, China, >50K
+29, Private, 210464, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+41, Private, 207685, Some-college, 10, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 21, United-States, <=50K
+38, Private, 233717, Some-college, 10, Divorced, Exec-managerial, Unmarried, Black, Male, 0, 0, 60, United-States, <=50K
+32, Private, 222205, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K
+37, Private, 167613, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+55, Private, 148773, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+62, Local-gov, 68268, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+48, Private, 174533, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+43, Private, 273230, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+25, Private, 187502, HS-grad, 9, Never-married, Sales, Own-child, Black, Male, 0, 0, 24, United-States, <=50K
+47, Private, 209320, HS-grad, 9, Separated, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+49, Self-emp-not-inc, 56841, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 70, United-States, <=50K
+55, Private, 254627, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+42, Private, 42703, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+40, Private, 374137, HS-grad, 9, Divorced, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 196385, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 192930, HS-grad, 9, Separated, Sales, Unmarried, White, Female, 0, 0, 10, United-States, <=50K
+39, Private, 99527, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+45, Private, 185437, Assoc-acdm, 12, Divorced, Craft-repair, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K
+43, Private, 247162, Assoc-acdm, 12, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+32, Federal-gov, 131534, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+18, Private, 184693, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, Mexico, <=50K
+27, Private, 704108, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+57, Private, 220262, Assoc-acdm, 12, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+38, Private, 95654, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 60, United-States, <=50K
+67, Private, 89346, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+26, Private, 94392, 11th, 7, Separated, Other-service, Unmarried, White, Female, 0, 0, 20, United-States, <=50K
+21, Private, 334113, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+17, Private, 32763, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 15, United-States, <=50K
+31, Private, 136651, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+51, Self-emp-not-inc, 240236, Assoc-acdm, 12, Separated, Sales, Not-in-family, Black, Male, 0, 0, 30, United-States, <=50K
+29, Private, 53271, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+28, Private, 31493, Bachelors, 13, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, >50K
+32, Private, 195891, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K
+31, Local-gov, 209103, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 3464, 0, 45, United-States, <=50K
+26, Private, 211424, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K
+28, Local-gov, 84657, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+40, Private, 151408, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+51, Private, 106819, 7th-8th, 4, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 19, United-States, <=50K
+62, Private, 132917, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 20, United-States, <=50K
+54, Private, 146834, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 60, United-States, <=50K
+55, Private, 164332, HS-grad, 9, Separated, Other-service, Not-in-family, White, Female, 0, 0, 16, United-States, <=50K
+24, Private, 30656, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K
+27, Private, 113501, Masters, 14, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 45, United-States, <=50K
+18, Private, 165316, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+22, Private, 233955, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Amer-Indian-Eskimo, Female, 14344, 0, 40, United-States, >50K
+21, Private, 126613, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+44, Self-emp-not-inc, 361280, Some-college, 10, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 80, Philippines, >50K
+50, ?, 123044, Masters, 14, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 60, United-States, >50K
+38, Private, 165472, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+39, Private, 99452, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+27, Private, 84977, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 240458, 11th, 7, Divorced, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+51, Private, 230858, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1977, 60, United-States, >50K
+60, Private, 123218, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+62, ?, 191118, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 7298, 0, 40, United-States, >50K
+38, Private, 115289, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 373895, Some-college, 10, Separated, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 35, United-States, <=50K
+43, Private, 152617, Some-college, 10, Divorced, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+49, State-gov, 72619, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 50, United-States, <=50K
+17, Private, 41865, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+32, Private, 190228, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+23, Private, 193090, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K
+28, Private, 138692, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1887, 40, United-States, >50K
+83, Self-emp-inc, 153183, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2392, 55, United-States, >50K
+25, Private, 181896, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+42, Private, 268183, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1485, 60, United-States, <=50K
+46, Local-gov, 213668, 11th, 7, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 99369, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Other, Female, 0, 0, 50, United-States, <=50K
+44, Private, 104196, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+60, Self-emp-not-inc, 176839, Prof-school, 15, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K
+30, Local-gov, 99502, Assoc-voc, 11, Divorced, Protective-serv, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K
+24, Private, 183410, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 17, United-States, <=50K
+17, Private, 25690, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 0, 10, United-States, <=50K
+76, ?, 201986, 11th, 7, Widowed, ?, Other-relative, White, Female, 0, 0, 16, United-States, <=50K
+31, Private, 188961, Assoc-acdm, 12, Never-married, Tech-support, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+52, Private, 114971, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+39, Private, 121468, Bachelors, 13, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Female, 0, 0, 35, United-States, <=50K
+73, Self-emp-inc, 191540, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+38, Private, 146398, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 24, United-States, <=50K
+48, Private, 193553, HS-grad, 9, Divorced, Other-service, Not-in-family, Black, Female, 0, 0, 20, United-States, <=50K
+60, Private, 121127, 10th, 6, Widowed, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+26, Private, 389856, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 290504, HS-grad, 9, Never-married, Other-service, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+54, State-gov, 137065, Doctorate, 16, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, >50K
+50, Local-gov, 212685, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+20, Private, 71475, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+23, Private, 111450, Some-college, 10, Never-married, Adm-clerical, Other-relative, Black, Male, 0, 0, 22, United-States, <=50K
+35, Private, 225860, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+43, Private, 129853, 10th, 6, Never-married, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+50, Private, 99925, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 32, United-States, <=50K
+58, Private, 227800, 1st-4th, 2, Separated, Farming-fishing, Not-in-family, Black, Male, 0, 0, 50, United-States, <=50K
+55, State-gov, 111130, Assoc-acdm, 12, Divorced, Adm-clerical, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K
+29, Private, 100764, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+47, Private, 275095, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+39, Private, 147500, HS-grad, 9, Married-civ-spouse, Prof-specialty, Wife, Black, Female, 0, 0, 40, United-States, <=50K
+63, Local-gov, 150079, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 35, United-States, >50K
+27, Private, 140863, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+62, ?, 199198, 11th, 7, Divorced, ?, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+38, Private, 193372, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+25, Private, 196771, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K
+31, Private, 231826, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 52, Mexico, <=50K
+40, Federal-gov, 196456, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+42, Private, 34037, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+52, Private, 174964, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+46, Private, 91608, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+31, Private, 403468, Some-college, 10, Separated, Other-service, Unmarried, White, Female, 0, 0, 50, Mexico, <=50K
+33, Private, 112900, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+58, Private, 242670, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+52, Local-gov, 187830, HS-grad, 9, Divorced, Tech-support, Unmarried, White, Male, 4934, 0, 36, United-States, >50K
+25, Self-emp-not-inc, 368115, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 13550, 0, 35, United-States, >50K
+54, Private, 343242, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+46, Private, 113390, Masters, 14, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 1740, 60, United-States, <=50K
+28, Private, 200733, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+24, Self-emp-not-inc, 236769, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+39, Private, 22494, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+60, Federal-gov, 129379, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 239098, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+27, Private, 167501, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+35, Private, 77146, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K
+47, Private, 82797, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K
+33, Self-emp-not-inc, 134886, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 50, United-States, >50K
+40, Self-emp-inc, 218558, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+38, Private, 207568, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 5178, 0, 40, United-States, >50K
+26, Private, 196899, Assoc-acdm, 12, Separated, Craft-repair, Not-in-family, Other, Female, 0, 0, 40, United-States, <=50K
+54, Self-emp-not-inc, 200960, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+39, Private, 188069, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, ?, <=50K
+60, Private, 232337, 7th-8th, 4, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 98656, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+19, State-gov, 194260, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+49, ?, 481987, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 60, United-States, <=50K
+31, Private, 234976, 11th, 7, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 48, United-States, <=50K
+29, Private, 349116, HS-grad, 9, Separated, Sales, Unmarried, White, Female, 0, 0, 25, United-States, <=50K
+39, Private, 175390, HS-grad, 9, Never-married, Sales, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+42, Private, 187720, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 50, ?, >50K
+26, Private, 214637, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 35, United-States, <=50K
+27, Private, 185127, Assoc-voc, 11, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+52, Private, 98752, 9th, 5, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+50, Local-gov, 218382, Some-college, 10, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+51, Private, 153486, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, >50K
+51, Federal-gov, 174102, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+40, Private, 137142, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+61, Private, 241013, 7th-8th, 4, Widowed, Farming-fishing, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+35, Private, 267798, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+41, ?, 152880, HS-grad, 9, Divorced, ?, Not-in-family, Black, Female, 0, 0, 28, United-States, <=50K
+31, Private, 263561, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+43, Private, 113324, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1902, 40, United-States, >50K
+20, Private, 39764, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 172186, Some-college, 10, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 460408, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 1672, 45, United-States, <=50K
+42, Self-emp-not-inc, 185129, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1887, 40, United-States, >50K
+51, Private, 61270, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K
+39, Self-emp-inc, 124685, Masters, 14, Divorced, Exec-managerial, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 99, Japan, >50K
+69, Self-emp-not-inc, 76968, 9th, 5, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 25, United-States, <=50K
+63, ?, 310396, 9th, 5, Married-civ-spouse, ?, Husband, White, Male, 5178, 0, 40, United-States, >50K
+29, Federal-gov, 37933, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 2174, 0, 40, United-States, <=50K
+21, Private, 38772, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+24, Private, 172496, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K
+55, Private, 306164, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+42, Self-emp-not-inc, 33795, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+48, Private, 47686, 11th, 7, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K
+31, Private, 193132, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 42, United-States, <=50K
+52, Private, 400004, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+30, Private, 101283, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+29, Private, 192384, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 113838, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+47, Private, 278322, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 40, United-States, >50K
+56, Private, 199713, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 236021, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 138938, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 10, United-States, <=50K
+36, Private, 126946, Some-college, 10, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+45, Private, 44791, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 31964, 9th, 5, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+60, State-gov, 352156, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+70, Self-emp-not-inc, 205860, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+21, Private, 113106, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+57, Private, 89182, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+33, Private, 250782, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, <=50K
+37, Private, 193855, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1902, 50, United-States, <=50K
+50, Self-emp-not-inc, 132716, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 50, United-States, >50K
+68, Private, 218637, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 2377, 55, United-States, >50K
+28, Private, 177955, 11th, 7, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, Mexico, <=50K
+32, Private, 198660, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 207937, Prof-school, 15, Divorced, Prof-specialty, Not-in-family, White, Male, 10520, 0, 50, United-States, >50K
+18, Private, 168740, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+45, Private, 199625, Some-college, 10, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 20, United-States, <=50K
+22, Private, 213902, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K
+38, Private, 208379, Bachelors, 13, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 8, United-States, <=50K
+37, Private, 113120, Assoc-voc, 11, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+23, Private, 57827, Bachelors, 13, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+59, Private, 515712, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+48, Self-emp-inc, 54190, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 40, United-States, >50K
+53, Self-emp-inc, 134793, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K
+18, Private, 396270, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 25, United-States, <=50K
+30, Private, 231620, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, Mexico, <=50K
+50, Private, 174655, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K
+63, ?, 97823, 11th, 7, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+38, Self-emp-not-inc, 344480, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 4064, 0, 40, United-States, <=50K
+48, Private, 176732, 9th, 5, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+60, Private, 143932, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+46, Private, 551962, HS-grad, 9, Separated, Handlers-cleaners, Unmarried, White, Female, 0, 0, 50, Peru, <=50K
+30, ?, 298577, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+39, Private, 257942, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K
+55, Local-gov, 253062, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+17, Private, 193748, 11th, 7, Never-married, Sales, Own-child, White, Male, 0, 0, 15, United-States, <=50K
+46, Private, 368561, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K
+50, Private, 192964, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 65, United-States, <=50K
+32, Private, 217304, Bachelors, 13, Never-married, Protective-serv, Not-in-family, Black, Male, 0, 0, 30, United-States, <=50K
+18, Private, 120029, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+34, Private, 62124, HS-grad, 9, Separated, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+50, Private, 94885, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, >50K
+32, Private, 192565, 11th, 7, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, <=50K
+23, Local-gov, 220912, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+26, Private, 184120, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+46, Private, 140782, Assoc-acdm, 12, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+43, Self-emp-inc, 170785, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K
+32, Private, 90705, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, >50K
+37, State-gov, 108293, Assoc-acdm, 12, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 38, United-States, <=50K
+48, Private, 168283, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, >50K
+28, Private, 339372, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 1408, 40, United-States, <=50K
+43, Private, 193672, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+51, Local-gov, 143865, 10th, 6, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K
+30, Private, 209317, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 50, Dominican-Republic, <=50K
+34, State-gov, 204461, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+34, Private, 137088, HS-grad, 9, Married-civ-spouse, Craft-repair, Other-relative, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K
+41, Private, 149102, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K
+53, Private, 182855, 10th, 6, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 48, United-States, <=50K
+42, Private, 572751, Preschool, 1, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Nicaragua, <=50K
+18, Private, 83451, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+81, Private, 98116, Bachelors, 13, Widowed, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, >50K
+40, Private, 119225, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 134888, Bachelors, 13, Never-married, Tech-support, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+20, Private, 745817, Some-college, 10, Never-married, Tech-support, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+41, Private, 88368, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+49, State-gov, 122066, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K
+22, Private, 363219, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+46, Private, 84402, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, >50K
+56, Private, 34626, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 1980, 40, United-States, <=50K
+35, Private, 150042, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K
+34, Private, 48014, Bachelors, 13, Separated, Exec-managerial, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+29, Local-gov, 177398, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K
+28, Private, 373698, 12th, 8, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, ?, <=50K
+35, Private, 422933, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 37, United-States, <=50K
+29, Private, 131088, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 178255, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 30, Columbia, <=50K
+52, Self-emp-not-inc, 129311, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 95, United-States, >50K
+45, Private, 473171, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+43, Private, 236985, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+35, ?, 226379, HS-grad, 9, Married-civ-spouse, ?, Other-relative, White, Female, 0, 0, 25, United-States, <=50K
+21, ?, 277700, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+35, Private, 207568, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 85708, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+45, Private, 98765, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, Canada, <=50K
+29, Private, 192283, Some-college, 10, Never-married, Other-service, Other-relative, White, Female, 0, 0, 20, United-States, <=50K
+29, State-gov, 271012, 10th, 6, Never-married, Other-service, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+33, Private, 189265, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+17, Private, 321880, 10th, 6, Never-married, Other-service, Own-child, Black, Male, 0, 0, 15, United-States, <=50K
+52, Private, 177465, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 25, United-States, <=50K
+24, Private, 127647, Some-college, 10, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 35, United-States, <=50K
+32, State-gov, 119033, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K
+40, Private, 289748, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 4650, 0, 48, United-States, <=50K
+32, Private, 209317, HS-grad, 9, Separated, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, ?, <=50K
+33, Private, 284531, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+30, Private, 251120, 7th-8th, 4, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K
+28, Private, 113870, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+62, Without-pay, 170114, Assoc-acdm, 12, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K
+46, Local-gov, 121124, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 15024, 0, 40, United-States, >50K
+32, Private, 328199, Assoc-voc, 11, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 64, United-States, <=50K
+26, Private, 206307, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+41, Self-emp-inc, 236021, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 40, United-States, >50K
+57, Federal-gov, 170603, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+52, Private, 74275, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 7298, 0, 45, United-States, >50K
+35, Self-emp-not-inc, 112271, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+19, Private, 118306, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 16, United-States, <=50K
+49, Private, 126754, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, >50K
+47, Private, 267205, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, ?, >50K
+38, Private, 205359, 11th, 7, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 32, United-States, <=50K
+30, Private, 398662, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 202498, 11th, 7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Columbia, <=50K
+32, Private, 105650, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 50, United-States, >50K
+46, Private, 191204, Assoc-voc, 11, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+22, Private, 56582, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+47, Local-gov, 51579, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 50, United-States, <=50K
+57, Self-emp-not-inc, 152030, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 25, United-States, >50K
+47, Private, 227310, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+41, Private, 55854, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 56, United-States, >50K
+36, Local-gov, 28996, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 160634, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K
+37, Private, 222450, 11th, 7, Married-spouse-absent, Other-service, Other-relative, White, Male, 0, 0, 40, El-Salvador, <=50K
+36, Self-emp-inc, 180419, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 45, United-States, <=50K
+64, Private, 116084, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 2635, 0, 40, United-States, <=50K
+17, Private, 202521, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 15, United-States, <=50K
+23, Private, 186014, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+40, Private, 88368, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 914, 0, 40, United-States, <=50K
+42, State-gov, 190044, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K
+37, Self-emp-not-inc, 35330, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 42, United-States, <=50K
+35, Federal-gov, 84848, Some-college, 10, Never-married, Handlers-cleaners, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+56, Self-emp-not-inc, 176280, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+52, Private, 145271, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K
+37, Local-gov, 108320, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 45, United-States, >50K
+48, State-gov, 106377, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 65, United-States, >50K
+24, Private, 258730, HS-grad, 9, Divorced, Other-service, Own-child, White, Female, 0, 0, 40, Japan, <=50K
+33, Private, 58305, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+39, Private, 341672, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K
+34, Private, 176648, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, Black, Male, 0, 0, 42, United-States, <=50K
+24, ?, 32616, Bachelors, 13, Divorced, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+23, Private, 481175, Some-college, 10, Never-married, Exec-managerial, Own-child, Other, Male, 0, 0, 24, Peru, <=50K
+49, Private, 187454, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 99999, 0, 65, United-States, >50K
+18, Private, 25837, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K
+20, Private, 385077, 12th, 8, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+54, Private, 68985, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K
+19, Private, 181572, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+53, Private, 23698, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 46, United-States, >50K
+34, ?, 268127, 12th, 8, Separated, ?, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+28, Private, 162298, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 144608, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 250630, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+31, Private, 150441, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+37, Private, 189251, Doctorate, 16, Separated, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+64, Private, 260082, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Columbia, <=50K
+42, Private, 139126, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K
+27, Private, 50132, Some-college, 10, Divorced, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+36, Self-emp-not-inc, 167691, Some-college, 10, Never-married, Other-service, Unmarried, White, Female, 0, 0, 50, United-States, <=50K
+36, Private, 77820, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+23, Private, 156513, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+46, Private, 248059, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 3464, 0, 40, United-States, <=50K
+24, Private, 283092, 11th, 7, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 35, Jamaica, <=50K
+22, Private, 175883, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+62, Private, 232308, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+19, Private, 269991, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, Puerto-Rico, <=50K
+20, Private, 305446, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+47, Private, 120781, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 15024, 0, 40, ?, >50K
+57, Private, 78707, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+19, Private, 351802, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+37, Local-gov, 196529, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 45, United-States, >50K
+35, Self-emp-inc, 175769, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 65, United-States, >50K
+17, Private, 153021, 12th, 8, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+36, Local-gov, 331902, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 35, United-States, <=50K
+50, Private, 279461, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K
+35, Private, 145704, HS-grad, 9, Married-civ-spouse, Prof-specialty, Wife, White, Female, 3942, 0, 35, United-States, <=50K
+27, State-gov, 205499, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 77, United-States, <=50K
+28, Private, 293926, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1740, 30, United-States, <=50K
+29, Self-emp-not-inc, 69132, Prof-school, 15, Divorced, Prof-specialty, Not-in-family, White, Male, 99999, 0, 60, United-States, >50K
+25, Private, 113099, HS-grad, 9, Separated, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+47, Self-emp-inc, 206947, Assoc-acdm, 12, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 67, United-States, <=50K
+29, State-gov, 159782, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 45, United-States, >50K
+19, Private, 410543, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+49, Private, 34446, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 209101, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 25, United-States, >50K
+43, Federal-gov, 95902, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Wife, Black, Female, 0, 0, 40, United-States, <=50K
+56, Self-emp-not-inc, 214323, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+42, Private, 236323, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+45, Federal-gov, 201127, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 56, United-States, >50K
+40, Private, 142886, Bachelors, 13, Widowed, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+44, Private, 77313, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 38, United-States, <=50K
+17, ?, 212125, 10th, 6, Never-married, ?, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+36, Private, 187098, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+19, Private, 196857, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+53, Local-gov, 155314, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K
+72, Self-emp-not-inc, 203289, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K
+46, Private, 117059, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male, 0, 0, 60, United-States, <=50K
+33, Private, 178587, Some-college, 10, Separated, Prof-specialty, Unmarried, White, Female, 0, 0, 37, United-States, <=50K
+22, Private, 82393, 9th, 5, Never-married, Handlers-cleaners, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K
+17, ?, 145258, 11th, 7, Never-married, ?, Other-relative, White, Female, 0, 0, 25, United-States, <=50K
+41, Private, 185145, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 45, ?, >50K
+46, Private, 72896, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 43, United-States, <=50K
+33, Private, 134886, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+32, Private, 223212, Preschool, 1, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+52, Self-emp-not-inc, 174752, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 230563, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+48, State-gov, 353824, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 72, United-States, >50K
+22, Private, 117363, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+25, Private, 285367, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+60, ?, 139391, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 42, United-States, <=50K
+38, Private, 198170, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 38948, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K
+49, Private, 188515, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+40, Self-emp-not-inc, 177810, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 30, United-States, <=50K
+48, Private, 188432, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 3103, 0, 46, United-States, >50K
+31, Private, 178506, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+40, Self-emp-not-inc, 129298, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 45, United-States, <=50K
+25, Private, 165315, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 37, United-States, <=50K
+68, Private, 117236, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 20051, 0, 45, United-States, >50K
+18, ?, 172214, HS-grad, 9, Never-married, ?, Own-child, Black, Female, 0, 0, 20, United-States, <=50K
+19, Private, 63434, 12th, 8, Never-married, Farming-fishing, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+35, Self-emp-inc, 140854, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+28, Private, 133043, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 50, United-States, <=50K
+53, Private, 113176, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 2597, 0, 40, United-States, <=50K
+33, Private, 259301, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 41, United-States, <=50K
+20, Private, 196643, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+45, Self-emp-not-inc, 364365, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+36, Private, 269318, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+34, Private, 108454, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K
+32, Private, 171637, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+19, Private, 183589, Some-college, 10, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 25, United-States, <=50K
+24, Private, 107801, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+34, Private, 179877, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K
+32, Private, 168981, HS-grad, 9, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 35, United-States, <=50K
+37, Private, 120590, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K
+31, Private, 310773, Some-college, 10, Separated, Sales, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K
+21, Private, 197050, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+47, Private, 159726, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 85, United-States, >50K
+23, Private, 210797, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 55291, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+60, ?, 141221, Bachelors, 13, Married-civ-spouse, ?, Husband, Asian-Pac-Islander, Male, 0, 2163, 25, South, <=50K
+17, Private, 276718, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+67, Private, 336163, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 24, United-States, <=50K
+57, Private, 112840, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K
+17, Private, 165918, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, Peru, <=50K
+53, Private, 165745, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+25, Self-emp-not-inc, 259299, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 3103, 0, 50, United-States, >50K
+24, State-gov, 197731, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 49, United-States, >50K
+48, Self-emp-not-inc, 197702, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+51, Private, 162238, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 47, United-States, >50K
+38, Private, 213260, HS-grad, 9, Separated, Protective-serv, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+51, Private, 53833, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 46, United-States, >50K
+18, Private, 89419, HS-grad, 9, Never-married, Tech-support, Own-child, White, Female, 0, 0, 10, United-States, <=50K
+23, Private, 119704, Some-college, 10, Separated, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+42, Private, 433170, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, >50K
+34, Private, 182714, HS-grad, 9, Separated, Other-service, Not-in-family, White, Female, 0, 0, 35, ?, <=50K
+39, Private, 172538, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+20, ?, 220115, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 12, United-States, <=50K
+39, Private, 158956, Some-college, 10, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+21, Self-emp-not-inc, 25631, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 476558, 7th-8th, 4, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K
+54, Federal-gov, 35576, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 203463, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+32, State-gov, 317647, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+59, Self-emp-not-inc, 170411, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+24, ?, 174182, 11th, 7, Married-civ-spouse, ?, Wife, Other, Female, 0, 0, 24, United-States, <=50K
+54, Private, 220055, Bachelors, 13, Widowed, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+54, Private, 231482, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+67, Private, 335979, HS-grad, 9, Widowed, Sales, Not-in-family, White, Female, 991, 0, 18, United-States, <=50K
+33, Private, 279173, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K
+37, Private, 89559, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K
+47, Private, 161950, Bachelors, 13, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 25, Germany, <=50K
+51, Private, 131068, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+45, Private, 219632, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+19, Private, 175507, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+58, Self-emp-inc, 182062, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 24, United-States, >50K
+27, Private, 287476, HS-grad, 9, Never-married, Craft-repair, Not-in-family, Black, Male, 3325, 0, 40, United-States, <=50K
+36, Private, 206253, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 1617, 40, United-States, <=50K
+20, ?, 189203, Assoc-acdm, 12, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+51, Private, 21698, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+45, Self-emp-not-inc, 328051, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K
+32, Private, 356689, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Male, 3887, 0, 40, United-States, <=50K
+59, Private, 121865, HS-grad, 9, Divorced, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+45, Self-emp-not-inc, 420986, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+43, ?, 218558, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+54, Private, 288992, 10th, 6, Divorced, Prof-specialty, Unmarried, White, Male, 14344, 0, 68, United-States, >50K
+20, ?, 189740, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 32, United-States, <=50K
+29, Local-gov, 188909, Bachelors, 13, Never-married, Prof-specialty, Own-child, Black, Female, 0, 0, 42, United-States, <=50K
+28, Private, 213081, 11th, 7, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 40, Jamaica, <=50K
+18, Self-emp-not-inc, 157131, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+49, Private, 98010, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+46, Private, 207677, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+58, ?, 361870, HS-grad, 9, Married-civ-spouse, ?, Husband, Black, Male, 0, 0, 30, United-States, <=50K
+56, Private, 266091, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, Mexico, <=50K
+41, Private, 106627, Assoc-acdm, 12, Divorced, Exec-managerial, Unmarried, Black, Female, 0, 0, 50, United-States, <=50K
+50, Self-emp-inc, 167793, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2415, 60, United-States, >50K
+74, Self-emp-not-inc, 206682, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1648, 35, United-States, <=50K
+30, Private, 243165, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+62, Private, 201928, HS-grad, 9, Widowed, Craft-repair, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+19, Private, 128346, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+29, Private, 197288, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 40, United-States, <=50K
+20, ?, 169184, Some-college, 10, Never-married, ?, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K
+36, Private, 245521, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 35, Mexico, <=50K
+36, Private, 129591, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+51, Local-gov, 47415, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 1628, 30, United-States, <=50K
+37, Self-emp-not-inc, 188563, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 4386, 0, 50, United-States, >50K
+29, Self-emp-not-inc, 184710, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+17, Private, 63734, 10th, 6, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+18, Private, 111256, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+40, Self-emp-inc, 111483, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+26, Self-emp-inc, 266639, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+42, Self-emp-not-inc, 93853, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+32, Private, 184207, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 238002, 9th, 5, Married-civ-spouse, Transport-moving, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K
+28, ?, 30237, Some-college, 10, Never-married, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+43, Private, 196545, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 1902, 40, United-States, >50K
+47, Private, 144844, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 280500, Some-college, 10, Never-married, Tech-support, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+73, ?, 135601, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 10, United-States, <=50K
+37, Private, 409189, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 30, Mexico, <=50K
+50, Private, 23686, Some-college, 10, Married-civ-spouse, Adm-clerical, Other-relative, White, Female, 0, 0, 35, United-States, >50K
+19, Private, 229756, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 50, United-States, <=50K
+32, Local-gov, 95530, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+44, Local-gov, 73199, Assoc-voc, 11, Divorced, Tech-support, Unmarried, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K
+20, Private, 196745, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 16, United-States, <=50K
+29, Private, 79481, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+21, ?, 116934, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+34, Private, 100950, Assoc-voc, 11, Never-married, Prof-specialty, Unmarried, White, Female, 0, 0, 40, Germany, <=50K
+44, Local-gov, 56651, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 52, United-States, <=50K
+18, Private, 186954, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+22, Private, 264874, Some-college, 10, Never-married, Tech-support, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+39, State-gov, 183092, Doctorate, 16, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, >50K
+26, Local-gov, 273399, Some-college, 10, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 40, Peru, <=50K
+29, ?, 142443, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 25, United-States, <=50K
+21, Private, 177526, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+49, Local-gov, 31267, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K
+24, Private, 321666, Assoc-acdm, 12, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+26, Private, 331861, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, ?, <=50K
+25, Private, 283515, Some-college, 10, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+30, Private, 54608, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+52, Private, 162238, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 38, United-States, >50K
+30, Private, 175931, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 236804, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 168782, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+44, Private, 227065, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+46, Self-emp-inc, 285335, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K
+31, Private, 259705, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+57, Private, 24384, 7th-8th, 4, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 10, United-States, <=50K
+58, Private, 322013, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+41, Private, 49797, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 52566, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+47, Private, 266275, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+72, Self-emp-not-inc, 285408, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2246, 28, United-States, >50K
+26, Self-emp-not-inc, 177858, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 1876, 38, United-States, <=50K
+45, Federal-gov, 183804, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+48, Private, 107231, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 50, United-States, >50K
+23, Private, 173679, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+20, Local-gov, 163965, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+18, Private, 173585, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 15, Peru, <=50K
+27, Private, 172009, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+25, Private, 44363, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+45, Private, 246392, HS-grad, 9, Never-married, Priv-house-serv, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K
+53, Private, 167033, Some-college, 10, Never-married, Exec-managerial, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+54, Private, 143822, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K
+41, Private, 37869, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 1902, 40, United-States, >50K
+23, Private, 447488, 9th, 5, Never-married, Machine-op-inspct, Other-relative, White, Male, 0, 0, 35, Mexico, <=50K
+17, Private, 239346, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 18, United-States, <=50K
+42, Private, 245975, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+61, Private, 34632, 12th, 8, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+57, Private, 121362, Some-college, 10, Widowed, Adm-clerical, Unmarried, White, Female, 0, 2258, 38, United-States, >50K
+21, State-gov, 24008, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+44, Private, 165492, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+48, Private, 326048, Assoc-acdm, 12, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 44, United-States, <=50K
+46, Private, 250821, Prof-school, 15, Divorced, Farming-fishing, Unmarried, White, Male, 0, 0, 48, United-States, <=50K
+37, Self-emp-not-inc, 154641, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 86, United-States, <=50K
+35, Private, 198202, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 54, United-States, <=50K
+27, Local-gov, 170504, Bachelors, 13, Never-married, Transport-moving, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+28, Private, 191342, Some-college, 10, Never-married, Sales, Not-in-family, Other, Male, 0, 0, 40, India, <=50K
+19, Private, 238969, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 10, United-States, <=50K
+63, Self-emp-not-inc, 344128, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+69, ?, 148694, HS-grad, 9, Divorced, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+69, ?, 180187, Assoc-acdm, 12, Widowed, ?, Not-in-family, White, Female, 0, 0, 6, Italy, <=50K
+36, State-gov, 168894, Assoc-voc, 11, Married-spouse-absent, Protective-serv, Own-child, White, Female, 0, 0, 40, Germany, <=50K
+20, Private, 203263, 12th, 8, Never-married, Other-service, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+28, State-gov, 89564, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 50, United-States, <=50K
+58, Private, 97562, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 38, United-States, <=50K
+48, Private, 336540, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+39, Private, 139647, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 56, United-States, <=50K
+38, Private, 160192, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 2051, 44, United-States, <=50K
+50, Local-gov, 320386, Assoc-acdm, 12, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+35, Private, 32126, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+45, Self-emp-not-inc, 275445, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 50, United-States, <=50K
+38, Self-emp-inc, 54953, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 38, United-States, <=50K
+54, Private, 103580, Assoc-acdm, 12, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 55, United-States, >50K
+42, Private, 245565, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 12, England, <=50K
+32, Private, 39223, 10th, 6, Separated, Craft-repair, Unmarried, Black, Female, 0, 0, 40, ?, <=50K
+55, State-gov, 117357, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 70, ?, >50K
+63, Private, 207385, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 30, United-States, <=50K
+21, Private, 355287, 9th, 5, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 48, Mexico, <=50K
+62, ?, 141218, Masters, 14, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 30, United-States, >50K
+46, Local-gov, 207677, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K
+43, Private, 102114, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+35, Self-emp-not-inc, 60269, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K
+37, Private, 278632, 9th, 5, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+51, Private, 355551, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Female, 0, 0, 45, Mexico, <=50K
+45, Private, 246891, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 72, Canada, >50K
+19, Private, 124486, 12th, 8, Never-married, Other-service, Own-child, White, Male, 0, 1602, 20, United-States, <=50K
+61, ?, 202106, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 1902, 40, United-States, >50K
+61, Private, 191417, 9th, 5, Widowed, Exec-managerial, Not-in-family, Black, Male, 0, 0, 65, United-States, <=50K
+21, Private, 184543, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+45, Private, 122206, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 229015, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+28, Private, 130067, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K
+40, Local-gov, 306495, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, <=50K
+32, Private, 232855, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+55, Local-gov, 171328, Some-college, 10, Married-spouse-absent, Adm-clerical, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K
+64, Private, 144182, HS-grad, 9, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 23, United-States, <=50K
+34, Private, 102858, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+19, ?, 199495, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 60, United-States, <=50K
+58, Private, 209438, Some-college, 10, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+46, Private, 74895, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1485, 55, United-States, <=50K
+44, Private, 184378, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 446512, Some-college, 10, Separated, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+31, Federal-gov, 113688, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+39, Private, 333305, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 45, United-States, >50K
+19, Private, 118535, 12th, 8, Never-married, Sales, Own-child, White, Female, 0, 0, 18, United-States, <=50K
+56, Private, 76142, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+53, Local-gov, 38795, 9th, 5, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+68, Private, 208478, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 18, ?, <=50K
+69, Private, 203313, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 991, 0, 18, United-States, <=50K
+62, Private, 247483, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+62, State-gov, 198686, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+39, Private, 56118, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+45, Federal-gov, 359808, Assoc-acdm, 12, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 231554, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 50, United-States, <=50K
+33, Private, 34848, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 199934, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 7298, 0, 40, United-States, >50K
+29, Private, 196243, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+65, Self-emp-inc, 66360, 11th, 7, Married-civ-spouse, Exec-managerial, Husband, White, Male, 6418, 0, 35, United-States, >50K
+18, Private, 189487, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+22, Private, 194848, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 167309, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 1902, 40, United-States, >50K
+44, Private, 192878, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K
+48, Private, 70209, Some-college, 10, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 20, United-States, <=50K
+52, Federal-gov, 123011, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+53, Self-emp-not-inc, 135339, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 7688, 0, 20, China, >50K
+48, Federal-gov, 497486, HS-grad, 9, Married-spouse-absent, Adm-clerical, Unmarried, White, Female, 1471, 0, 40, United-States, <=50K
+25, Private, 178478, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+41, Private, 149909, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 50, United-States, >50K
+37, Private, 103323, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+55, Private, 239404, 10th, 6, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 45, United-States, <=50K
+67, Private, 165082, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K
+36, Private, 389725, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+47, Private, 374580, HS-grad, 9, Separated, Sales, Not-in-family, White, Female, 0, 0, 52, United-States, <=50K
+36, ?, 187983, HS-grad, 9, Never-married, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+25, Private, 259300, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 16, United-States, <=50K
+19, Private, 277695, 9th, 5, Never-married, Farming-fishing, Other-relative, White, Male, 0, 0, 16, Mexico, <=50K
+24, Private, 230248, 7th-8th, 4, Separated, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+30, Self-emp-not-inc, 196342, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 25, United-States, <=50K
+17, Private, 160968, 11th, 7, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 16, United-States, <=50K
+28, Private, 115438, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 231043, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 3908, 0, 45, United-States, <=50K
+35, Private, 129597, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 46, United-States, <=50K
+24, Local-gov, 387108, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+43, Private, 105936, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 35, United-States, >50K
+20, Private, 107242, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, ?, <=50K
+55, Private, 125000, Masters, 14, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 40, United-States, >50K
+22, Private, 229456, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 35, United-States, <=50K
+20, Private, 230113, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 50, United-States, <=50K
+44, Private, 106698, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+38, Private, 133454, Assoc-acdm, 12, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+53, Private, 295520, 9th, 5, Widowed, Sales, Unmarried, Black, Female, 0, 0, 25, United-States, <=50K
+26, Private, 151551, Some-college, 10, Separated, Sales, Own-child, Amer-Indian-Eskimo, Male, 2597, 0, 48, United-States, <=50K
+58, Private, 100313, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 1902, 40, United-States, >50K
+23, Private, 320294, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+53, Private, 162381, 1st-4th, 2, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K
+35, Private, 183898, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 2354, 0, 40, United-States, <=50K
+41, Self-emp-inc, 32016, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 62, United-States, <=50K
+31, Private, 117028, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+50, Private, 280278, HS-grad, 9, Widowed, Prof-specialty, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+57, Private, 342906, 9th, 5, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 55, United-States, >50K
+25, Private, 181598, 11th, 7, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 224059, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+48, Private, 148549, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+34, Private, 97355, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K
+37, Private, 154571, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, ?, <=50K
+43, Self-emp-inc, 140988, Bachelors, 13, Married-civ-spouse, Sales, Other-relative, Asian-Pac-Islander, Male, 0, 0, 45, India, <=50K
+20, Private, 148409, Some-college, 10, Never-married, Sales, Other-relative, White, Male, 1055, 0, 20, United-States, <=50K
+40, Local-gov, 150755, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 75, United-States, >50K
+27, Private, 87006, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 1579, 40, United-States, <=50K
+35, Private, 112158, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 121488, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+57, State-gov, 283635, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+43, Private, 69758, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K
+40, Private, 199900, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1848, 55, United-States, >50K
+54, Private, 88019, Some-college, 10, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K
+28, Private, 31935, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+32, Private, 323055, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+49, Private, 189498, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+52, Private, 89041, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+41, Private, 112507, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K
+19, Private, 236940, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 278514, HS-grad, 9, Divorced, Craft-repair, Own-child, White, Female, 0, 0, 42, United-States, <=50K
+21, ?, 433330, Some-college, 10, Never-married, ?, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 258379, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 32, United-States, <=50K
+44, Private, 162028, 11th, 7, Divorced, Sales, Unmarried, White, Female, 0, 0, 44, United-States, <=50K
+20, Private, 197997, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+46, Private, 98350, 10th, 6, Married-spouse-absent, Other-service, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 37, China, <=50K
+39, Private, 165848, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K
+34, Private, 178615, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+19, Private, 228939, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+27, Private, 210498, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 5178, 0, 40, United-States, >50K
+53, Private, 154891, 9th, 5, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+46, Private, 165937, Assoc-voc, 11, Divorced, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+23, ?, 138768, Bachelors, 13, Never-married, ?, Own-child, White, Male, 2907, 0, 40, United-States, <=50K
+39, Private, 160120, Some-college, 10, Never-married, Machine-op-inspct, Other-relative, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K
+30, Private, 382368, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+53, Private, 123011, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+33, Private, 119033, 9th, 5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 496856, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K
+44, Private, 194049, Some-college, 10, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K
+30, Private, 299223, Some-college, 10, Divorced, Sales, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K
+66, Private, 174788, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+39, Private, 176101, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 38948, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+34, Private, 271933, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Wife, White, Female, 0, 0, 40, United-States, <=50K
+17, Private, 122041, 11th, 7, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+43, Private, 115932, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, >50K
+46, Private, 265105, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+17, Private, 100828, 11th, 7, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K
+60, Private, 121319, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 3137, 0, 40, Poland, <=50K
+63, Private, 308028, Masters, 14, Married-civ-spouse, Tech-support, Husband, White, Male, 5013, 0, 40, United-States, <=50K
+42, Private, 213214, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 348618, 9th, 5, Married-civ-spouse, Craft-repair, Husband, Other, Male, 0, 0, 40, Mexico, <=50K
+33, Private, 275632, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+43, Private, 239161, Some-college, 10, Married-civ-spouse, Sales, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K
+20, Private, 215495, 9th, 5, Never-married, Exec-managerial, Other-relative, White, Female, 0, 0, 40, Mexico, <=50K
+30, Private, 214063, Some-college, 10, Never-married, Farming-fishing, Other-relative, Black, Male, 0, 0, 72, United-States, <=50K
+37, Private, 122493, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K
+33, ?, 211699, Some-college, 10, Divorced, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+49, Self-emp-not-inc, 175622, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+65, Private, 153522, HS-grad, 9, Widowed, Other-service, Unmarried, White, Female, 0, 0, 17, United-States, <=50K
+35, Private, 258339, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K
+27, Private, 119793, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 133503, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 1977, 45, United-States, >50K
+18, Private, 162840, 12th, 8, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+41, Local-gov, 67671, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K
+38, Private, 188888, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 1340, 40, United-States, <=50K
+45, Private, 140644, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+18, ?, 126154, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 245659, Some-college, 10, Separated, Other-service, Unmarried, White, Female, 0, 0, 38, El-Salvador, <=50K
+28, Private, 129624, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, ?, <=50K
+47, Private, 104068, HS-grad, 9, Divorced, Prof-specialty, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K
+30, Private, 337908, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 20, United-States, <=50K
+36, Private, 161141, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 162228, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+44, Private, 116391, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 314310, HS-grad, 9, Married-spouse-absent, Sales, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K
+61, ?, 394534, HS-grad, 9, Married-civ-spouse, ?, Husband, Black, Male, 0, 0, 6, United-States, <=50K
+29, Private, 308136, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+45, Private, 194698, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+18, ?, 67793, HS-grad, 9, Never-married, ?, Own-child, White, Female, 0, 0, 60, United-States, <=50K
+29, Local-gov, 302422, Assoc-voc, 11, Never-married, Protective-serv, Not-in-family, White, Male, 0, 1564, 56, United-States, >50K
+27, Private, 289147, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+21, Private, 229826, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 20, United-States, <=50K
+22, ?, 154235, Some-college, 10, Married-civ-spouse, ?, Wife, White, Female, 3781, 0, 35, United-States, <=50K
+49, Self-emp-inc, 246739, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K
+35, Private, 188041, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K
+47, Private, 187440, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 5178, 0, 40, United-States, >50K
+37, Local-gov, 105266, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 249208, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 48, United-States, >50K
+26, Private, 203492, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+18, ?, 71076, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+55, Federal-gov, 146477, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+47, Private, 201699, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 5178, 0, 50, United-States, >50K
+59, Private, 205949, HS-grad, 9, Separated, Craft-repair, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K
+70, Private, 90245, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 5, United-States, <=50K
+53, Federal-gov, 177647, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, France, >50K
+39, Private, 126494, HS-grad, 9, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+38, Private, 257735, 9th, 5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 1161363, Some-college, 10, Separated, Tech-support, Unmarried, White, Female, 0, 0, 50, Columbia, <=50K
+19, ?, 257343, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 221452, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+74, Private, 260669, 10th, 6, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 1, United-States, <=50K
+40, Private, 192344, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+35, Private, 80479, Assoc-voc, 11, Divorced, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+35, Self-emp-not-inc, 108808, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+41, Private, 175674, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+38, Private, 272950, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+29, Self-emp-not-inc, 160786, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, >50K
+46, Self-emp-not-inc, 122206, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K
+46, Private, 121168, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+40, Private, 209547, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K
+29, Federal-gov, 244473, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 40, United-States, >50K
+39, Private, 176296, Assoc-acdm, 12, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 60, United-States, <=50K
+31, Private, 91666, HS-grad, 9, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 60, United-States, <=50K
+50, Local-gov, 191025, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Female, 4650, 0, 70, United-States, <=50K
+31, State-gov, 63704, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+27, Private, 31659, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+27, Private, 191230, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 25, United-States, <=50K
+28, Private, 56340, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+21, Private, 221157, HS-grad, 9, Never-married, Other-service, Own-child, Black, Female, 0, 0, 30, United-States, <=50K
+57, Local-gov, 143910, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+56, Local-gov, 435836, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+22, ?, 61499, HS-grad, 9, Never-married, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+48, Private, 209182, Preschool, 1, Separated, Other-service, Unmarried, White, Female, 0, 0, 40, El-Salvador, <=50K
+36, Self-emp-inc, 107218, Some-college, 10, Divorced, Sales, Unmarried, Asian-Pac-Islander, Male, 0, 0, 55, United-States, <=50K
+51, Private, 55500, 12th, 8, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+39, Local-gov, 357962, Assoc-acdm, 12, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K
+43, Private, 200355, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 70, United-States, >50K
+38, Private, 320451, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, ?, <=50K
+51, Local-gov, 184542, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+43, State-gov, 206927, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+44, Private, 54310, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 40, United-States, >50K
+35, Private, 208165, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 50, United-States, <=50K
+40, Private, 146908, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 40, United-States, >50K
+39, Private, 318416, 10th, 6, Separated, Other-service, Own-child, Black, Female, 0, 0, 12, United-States, <=50K
+47, Self-emp-inc, 207540, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, ?, <=50K
+23, Private, 69911, Preschool, 1, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+26, Private, 305304, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+25, Local-gov, 295289, HS-grad, 9, Never-married, Prof-specialty, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+29, Private, 275110, Some-college, 10, Separated, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 42, United-States, <=50K
+30, Private, 339773, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+57, State-gov, 399246, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 1485, 40, China, <=50K
+37, Self-emp-inc, 51264, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+39, Private, 49020, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 3103, 0, 48, United-States, >50K
+37, Private, 178100, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, >50K
+45, ?, 215943, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 176178, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 16, United-States, <=50K
+25, State-gov, 180884, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 40, United-States, <=50K
+61, State-gov, 130466, HS-grad, 9, Widowed, Adm-clerical, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K
+59, Private, 328525, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 2414, 0, 15, United-States, <=50K
+28, Private, 142712, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 176321, Some-college, 10, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+47, Private, 145041, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Cuba, >50K
+29, Private, 95423, HS-grad, 9, Married-AF-spouse, Transport-moving, Husband, White, Male, 0, 0, 80, United-States, <=50K
+49, Self-emp-not-inc, 215096, 9th, 5, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+41, Local-gov, 177599, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 35, United-States, <=50K
+33, Private, 123920, Some-college, 10, Never-married, Exec-managerial, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+20, ?, 201490, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 46990, Doctorate, 16, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1977, 20, United-States, >50K
+32, Private, 388672, Some-college, 10, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 16, United-States, <=50K
+48, Private, 149210, Bachelors, 13, Divorced, Sales, Not-in-family, Black, Male, 0, 0, 40, United-States, >50K
+24, Private, 134787, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+50, Private, 185407, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 38, United-States, >50K
+31, State-gov, 86143, HS-grad, 9, Never-married, Protective-serv, Other-relative, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K
+23, Private, 41721, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, >50K
+35, Private, 195744, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+50, Local-gov, 96062, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K
+39, Private, 215150, 9th, 5, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+52, Private, 270728, 7th-8th, 4, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 48, Cuba, <=50K
+44, Private, 75012, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 80, United-States, <=50K
+43, Private, 206139, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+39, Private, 50700, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 224258, 7th-8th, 4, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, Mexico, >50K
+31, Private, 240441, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 1564, 40, United-States, >50K
+40, Self-emp-not-inc, 406811, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K
+28, Local-gov, 34452, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+19, Private, 361341, 12th, 8, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 25, Thailand, <=50K
+35, Private, 78247, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+44, Private, 106900, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K
+40, Self-emp-not-inc, 165108, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, England, <=50K
+20, Private, 406641, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+55, Private, 171467, HS-grad, 9, Divorced, Craft-repair, Unmarried, Black, Male, 0, 0, 48, United-States, >50K
+30, Private, 341187, 7th-8th, 4, Separated, Transport-moving, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+38, Private, 119177, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K
+75, Private, 104896, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 2653, 0, 20, United-States, <=50K
+17, Private, 342752, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 15, United-States, <=50K
+79, ?, 76641, Masters, 14, Married-civ-spouse, ?, Husband, White, Male, 20051, 0, 40, Poland, >50K
+20, Private, 47541, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+25, Private, 233461, Assoc-acdm, 12, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+27, Private, 303954, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K
+19, Private, 163015, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+21, Private, 75763, Some-college, 10, Married-civ-spouse, Sales, Wife, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K
+19, Private, 43003, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+42, Private, 328239, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 130856, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 36, United-States, <=50K
+47, Self-emp-not-inc, 190072, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Iran, >50K
+59, Private, 170148, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 32, United-States, <=50K
+50, Private, 104501, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+48, Self-emp-inc, 213140, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 80, United-States, <=50K
+33, Local-gov, 175509, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 173611, Assoc-acdm, 12, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+45, Private, 148995, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 99999, 0, 30, United-States, >50K
+24, Private, 64520, 7th-8th, 4, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 139822, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K
+24, Private, 258700, 5th-6th, 3, Never-married, Farming-fishing, Other-relative, Black, Male, 0, 0, 40, Mexico, <=50K
+29, Private, 34796, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 124963, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+24, Private, 65743, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+28, Private, 161087, Some-college, 10, Never-married, Exec-managerial, Not-in-family, Black, Female, 0, 0, 45, Jamaica, <=50K
+63, ?, 424591, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+36, Federal-gov, 203836, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 50, United-States, <=50K
+58, State-gov, 110199, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+51, Private, 316059, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K
+42, Private, 255667, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K
+39, Private, 193689, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 60722, Bachelors, 13, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K
+39, Private, 187847, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 233275, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+51, Private, 215404, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male, 15024, 0, 40, United-States, >50K
+45, Private, 201865, Bachelors, 13, Married-spouse-absent, Exec-managerial, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+45, Private, 118889, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+23, State-gov, 368739, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+38, Private, 123833, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 1408, 40, United-States, <=50K
+38, Private, 171344, 11th, 7, Married-spouse-absent, Transport-moving, Own-child, White, Male, 0, 0, 36, Mexico, <=50K
+39, Private, 153976, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+52, Private, 374883, Assoc-voc, 11, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+17, Private, 167658, 12th, 8, Never-married, Sales, Own-child, White, Female, 0, 0, 6, United-States, <=50K
+31, Private, 348504, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K
+22, Private, 258509, HS-grad, 9, Never-married, Transport-moving, Own-child, Black, Male, 0, 0, 24, United-States, <=50K
+47, State-gov, 108890, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 1831, 0, 38, United-States, <=50K
+28, Private, 188236, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+30, ?, 355571, HS-grad, 9, Never-married, ?, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+41, Private, 425049, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K
+29, Private, 142555, Masters, 14, Never-married, Prof-specialty, Not-in-family, Black, Male, 0, 0, 42, United-States, <=50K
+42, Self-emp-not-inc, 29320, Prof-school, 15, Divorced, Prof-specialty, Unmarried, White, Male, 0, 0, 60, United-States, >50K
+52, Federal-gov, 207841, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 187329, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+28, Private, 270973, Assoc-acdm, 12, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+46, Private, 197332, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 46, United-States, >50K
+21, ?, 175166, Some-college, 10, Never-married, ?, Own-child, White, Female, 2176, 0, 40, United-States, <=50K
+45, Local-gov, 160187, HS-grad, 9, Married-spouse-absent, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+21, Private, 197918, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+74, Private, 192290, 10th, 6, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 20, United-States, <=50K
+29, Private, 241895, HS-grad, 9, Married-civ-spouse, Transport-moving, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+39, Local-gov, 164515, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+44, Private, 147206, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 45, United-States, >50K
+23, Self-emp-inc, 306868, Bachelors, 13, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+32, Local-gov, 169837, Assoc-acdm, 12, Divorced, Exec-managerial, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+61, ?, 124648, 10th, 6, Divorced, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+43, Private, 185057, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 30, United-States, >50K
+23, Private, 240049, Preschool, 1, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, Laos, <=50K
+18, Private, 164441, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 38, United-States, <=50K
+38, Private, 179314, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 319854, Bachelors, 13, Separated, Prof-specialty, Not-in-family, White, Male, 4650, 0, 35, United-States, <=50K
+19, Self-emp-inc, 148955, Some-college, 10, Never-married, Other-service, Own-child, Asian-Pac-Islander, Female, 0, 0, 35, South, <=50K
+23, Private, 32950, Some-college, 10, Never-married, Transport-moving, Not-in-family, White, Male, 4101, 0, 40, United-States, <=50K
+37, Private, 206699, HS-grad, 9, Divorced, Tech-support, Own-child, White, Male, 0, 0, 45, United-States, <=50K
+25, Private, 385646, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 31438, HS-grad, 9, Divorced, Transport-moving, Unmarried, White, Male, 0, 0, 43, ?, <=50K
+45, Private, 168598, 12th, 8, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 3103, 0, 40, United-States, >50K
+32, Private, 97306, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K
+65, ?, 106910, 11th, 7, Divorced, ?, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 15, United-States, <=50K
+18, Self-emp-not-inc, 29582, 11th, 7, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 220284, HS-grad, 9, Never-married, Transport-moving, Unmarried, White, Male, 0, 0, 40, Mexico, <=50K
+29, Private, 110226, Masters, 14, Never-married, Sales, Not-in-family, White, Male, 0, 0, 65, ?, <=50K
+53, Private, 240914, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 115496, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K
+27, Private, 105817, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+24, State-gov, 330836, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K
+54, Self-emp-not-inc, 36327, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, <=50K
+23, Private, 33423, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+45, Private, 75673, Assoc-voc, 11, Widowed, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K
+36, Private, 185744, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 35, United-States, >50K
+36, Private, 186035, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 5178, 0, 40, United-States, >50K
+44, Local-gov, 196456, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 1669, 40, United-States, <=50K
+24, Private, 111450, HS-grad, 9, Never-married, Transport-moving, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K
+39, Private, 115289, Some-college, 10, Divorced, Sales, Own-child, White, Male, 0, 1380, 70, United-States, <=50K
+50, Private, 74879, HS-grad, 9, Married-spouse-absent, Handlers-cleaners, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+38, Private, 117312, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 15024, 0, 40, United-States, >50K
+58, Private, 272902, Bachelors, 13, Widowed, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+44, Self-emp-inc, 220230, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 48, United-States, <=50K
+24, Private, 90934, Bachelors, 13, Never-married, Sales, Own-child, Asian-Pac-Islander, Male, 0, 0, 55, United-States, <=50K
+52, Self-emp-inc, 234286, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 40, United-States, >50K
+46, Private, 364548, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 8614, 0, 40, United-States, >50K
+50, Self-emp-inc, 283676, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 60, United-States, >50K
+34, Private, 195602, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 44, United-States, <=50K
+40, Private, 70761, Assoc-acdm, 12, Never-married, Tech-support, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+53, Private, 142717, Bachelors, 13, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+24, Private, 124242, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+58, ?, 53481, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 70, United-States, <=50K
+26, Private, 287797, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+22, Private, 188274, Assoc-acdm, 12, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 171968, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+78, ?, 74795, Assoc-acdm, 12, Widowed, ?, Not-in-family, White, Female, 0, 0, 4, United-States, <=50K
+36, Private, 218490, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, Germany, >50K
+43, Local-gov, 94937, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 28, United-States, <=50K
+60, Private, 109511, 7th-8th, 4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+49, Local-gov, 269527, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 40, United-States, >50K
+50, Self-emp-inc, 201689, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1977, 63, ?, >50K
+34, Self-emp-not-inc, 120672, 7th-8th, 4, Never-married, Handlers-cleaners, Unmarried, Black, Male, 0, 0, 10, United-States, <=50K
+46, Private, 130779, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+46, Local-gov, 441542, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+69, Private, 114801, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 20, United-States, <=50K
+32, Private, 180284, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+40, Local-gov, 27444, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, >50K
+61, Private, 180382, 5th-6th, 3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 3411, 0, 45, United-States, <=50K
+56, Private, 143266, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+47, Private, 139268, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 126208, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+37, Private, 186191, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 46, United-States, <=50K
+51, Private, 197163, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 2559, 50, United-States, >50K
+44, State-gov, 193524, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 40, United-States, >50K
+33, Private, 181388, HS-grad, 9, Separated, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+51, Self-emp-not-inc, 124963, Prof-school, 15, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 80, United-States, >50K
+24, Private, 188925, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+37, Self-emp-not-inc, 149230, Assoc-voc, 11, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+40, Private, 388725, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 113543, Masters, 14, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+61, ?, 187636, Bachelors, 13, Divorced, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+56, Self-emp-inc, 267763, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, ?, <=50K
+69, Federal-gov, 143849, 11th, 7, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+41, Self-emp-not-inc, 97277, Assoc-voc, 11, Divorced, Other-service, Unmarried, White, Female, 0, 0, 10, United-States, <=50K
+40, Private, 199303, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+57, Private, 124852, Some-college, 10, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+26, Private, 50053, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, <=50K
+53, Private, 97005, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 46, United-States, >50K
+90, ?, 175444, 7th-8th, 4, Separated, ?, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K
+39, Private, 337898, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K
+51, Federal-gov, 124076, Bachelors, 13, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+56, Federal-gov, 277420, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, Puerto-Rico, >50K
+51, Private, 280278, 10th, 6, Separated, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+17, Private, 241185, 12th, 8, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+42, Private, 202188, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 1741, 50, United-States, <=50K
+42, Private, 198422, Some-college, 10, Divorced, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+29, Private, 82242, Prof-school, 15, Never-married, Prof-specialty, Unmarried, White, Male, 27828, 0, 45, Germany, >50K
+33, Private, 178429, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+47, Private, 185866, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, ?, >50K
+43, Private, 212847, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+64, Self-emp-not-inc, 219661, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 9, United-States, >50K
+40, Private, 321856, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 60, United-States, >50K
+21, Private, 313873, 5th-6th, 3, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K
+31, Private, 144064, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+60, Private, 139586, Assoc-voc, 11, Widowed, Exec-managerial, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, United-States, >50K
+32, Private, 419691, 12th, 8, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+66, ?, 212759, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 6767, 0, 20, United-States, <=50K
+27, Private, 195562, HS-grad, 9, Never-married, Craft-repair, Own-child, Black, Male, 0, 0, 20, United-States, <=50K
+40, Private, 205706, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K
+27, Private, 131310, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, >50K
+18, Private, 54440, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+43, Private, 200734, HS-grad, 9, Separated, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+52, Private, 81859, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, >50K
+31, Private, 159589, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 85, United-States, <=50K
+28, Private, 300915, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K
+44, Private, 185057, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+37, Self-emp-not-inc, 42044, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 84, United-States, <=50K
+35, Private, 166416, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+42, Private, 212737, 9th, 5, Separated, Craft-repair, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K
+18, Private, 236069, 10th, 6, Never-married, Other-service, Own-child, Black, Male, 0, 0, 10, United-States, <=50K
+46, Self-emp-inc, 216414, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 1977, 60, United-States, >50K
+54, Federal-gov, 27432, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+54, Private, 145419, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 1672, 50, United-States, <=50K
+56, Private, 147202, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 45, Germany, <=50K
+27, Private, 29261, Some-college, 10, Never-married, Sales, Unmarried, White, Male, 0, 0, 50, United-States, <=50K
+26, Private, 359543, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, Mexico, <=50K
+41, Local-gov, 227644, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+41, Private, 90021, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, ?, <=50K
+32, Private, 188154, Some-college, 10, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+18, Private, 110142, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+36, Private, 186415, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 65, United-States, <=50K
+37, Private, 175720, 10th, 6, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 172865, 5th-6th, 3, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 25, Mexico, <=50K
+46, Private, 35969, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 51, United-States, <=50K
+24, Private, 433330, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+25, Self-emp-inc, 160261, Bachelors, 13, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Male, 0, 0, 35, Taiwan, <=50K
+55, Private, 189528, 5th-6th, 3, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+64, Local-gov, 113324, HS-grad, 9, Widowed, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+30, Local-gov, 118500, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+65, Private, 89681, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 99, United-States, <=50K
+46, Federal-gov, 199925, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+45, Private, 102308, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 60, United-States, >50K
+18, Private, 444607, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+32, Private, 176998, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+38, ?, 94559, Bachelors, 13, Married-civ-spouse, ?, Wife, Other, Female, 7688, 0, 50, ?, >50K
+34, State-gov, 366198, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, Germany, >50K
+35, Private, 180686, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 3137, 0, 40, United-States, <=50K
+26, Private, 108019, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 3325, 0, 40, United-States, <=50K
+24, Private, 153542, Some-college, 10, Never-married, Sales, Other-relative, White, Male, 0, 0, 35, United-States, <=50K
+45, Self-emp-not-inc, 210364, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 80, United-States, >50K
+36, Private, 185394, 10th, 6, Never-married, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 34, United-States, <=50K
+44, Private, 222703, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male, 0, 0, 40, Nicaragua, <=50K
+23, Private, 183945, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K
+57, Private, 161964, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K
+41, Self-emp-not-inc, 375574, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, Mexico, >50K
+20, Local-gov, 312427, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 30, Puerto-Rico, <=50K
+32, Private, 53373, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 36, United-States, <=50K
+60, Private, 166330, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 99999, 0, 40, United-States, >50K
+38, Self-emp-inc, 124665, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+29, Private, 146719, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+22, Private, 306593, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 156687, Some-college, 10, Never-married, Sales, Own-child, Asian-Pac-Islander, Male, 0, 0, 30, India, <=50K
+40, Local-gov, 153489, HS-grad, 9, Married-civ-spouse, Other-service, Other-relative, White, Male, 3137, 0, 40, United-States, <=50K
+59, Private, 231377, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1848, 45, United-States, >50K
+45, State-gov, 127089, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+76, Local-gov, 329355, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 13, United-States, <=50K
+45, Private, 178319, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K
+49, Local-gov, 304246, Masters, 14, Separated, Prof-specialty, Unmarried, White, Female, 0, 0, 70, United-States, <=50K
+36, Local-gov, 174640, Assoc-voc, 11, Never-married, Protective-serv, Not-in-family, Black, Female, 0, 0, 60, United-States, >50K
+22, Private, 148294, 11th, 7, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+47, Private, 298037, Assoc-voc, 11, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 44, United-States, <=50K
+26, Private, 98155, HS-grad, 9, Married-AF-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K
+21, Private, 102766, Some-college, 10, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 78529, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+26, Private, 136309, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 275357, Assoc-voc, 11, Never-married, Tech-support, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+31, Self-emp-not-inc, 33117, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, England, <=50K
+57, Local-gov, 199546, Masters, 14, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+39, Private, 184128, 11th, 7, Divorced, Sales, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+36, Private, 337039, Assoc-acdm, 12, Never-married, Tech-support, Not-in-family, Black, Male, 14344, 0, 40, England, >50K
+66, Private, 126511, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K
+34, Local-gov, 325792, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+80, ?, 91901, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 25, United-States, <=50K
+21, Private, 119474, HS-grad, 9, Never-married, Other-service, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+40, Private, 153238, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 32, United-States, >50K
+49, Local-gov, 321851, Assoc-acdm, 12, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+48, Self-emp-not-inc, 108557, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 3325, 0, 60, United-States, <=50K
+19, State-gov, 67217, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 594, 0, 24, United-States, <=50K
+42, Private, 195508, 11th, 7, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+59, Private, 102193, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K
+63, Private, 20323, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+26, Private, 122206, HS-grad, 9, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+41, Private, 200652, 9th, 5, Divorced, Other-service, Other-relative, White, Female, 0, 0, 35, United-States, <=50K
+42, Private, 173590, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 1628, 40, United-States, <=50K
+19, Private, 184121, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+45, Local-gov, 53123, 11th, 7, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 25, United-States, <=50K
+47, Private, 175990, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 30, United-States, >50K
+47, Private, 316101, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+34, Private, 34080, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, England, <=50K
+49, Self-emp-not-inc, 219718, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 40, United-States, >50K
+36, Private, 126954, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+53, Private, 99185, HS-grad, 9, Widowed, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, >50K
+21, ?, 40052, Some-college, 10, Never-married, ?, Not-in-family, White, Male, 0, 2001, 45, United-States, <=50K
+39, Private, 120074, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+52, Self-emp-not-inc, 77336, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+18, Private, 60981, Some-college, 10, Never-married, Sales, Own-child, White, Female, 2176, 0, 35, United-States, <=50K
+59, Private, 77884, Assoc-voc, 11, Never-married, Craft-repair, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K
+50, Private, 65408, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K
+31, Private, 173279, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, >50K
+52, ?, 318351, Some-college, 10, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 40, United-States, >50K
+41, Self-emp-not-inc, 157686, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+45, Private, 277434, Assoc-acdm, 12, Widowed, Tech-support, Unmarried, White, Male, 0, 0, 40, United-States, >50K
+54, Local-gov, 184620, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+22, Private, 34443, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K
+50, Private, 268553, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 7298, 0, 40, United-States, >50K
+20, ?, 41356, Assoc-acdm, 12, Never-married, ?, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K
+43, Private, 459342, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+48, Local-gov, 148549, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 254293, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 2174, 0, 45, United-States, <=50K
+54, Private, 104501, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 40, United-States, >50K
+26, Private, 238367, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+53, Private, 180439, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+51, Self-emp-inc, 100029, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 40, United-States, >50K
+54, Private, 215990, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 44, United-States, >50K
+32, State-gov, 111567, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 49, United-States, >50K
+46, Private, 319163, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+60, ?, 160155, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 12, United-States, <=50K
+52, Local-gov, 378045, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+44, Private, 177083, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+56, Self-emp-inc, 119891, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1672, 40, United-States, <=50K
+57, Private, 127779, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 299353, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+30, Private, 63861, Assoc-acdm, 12, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+29, Private, 112403, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+49, Private, 83610, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 66, United-States, >50K
+28, Private, 452808, 10th, 6, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 176871, Some-college, 10, Separated, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+45, Private, 100651, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Male, 0, 1980, 40, United-States, <=50K
+17, Private, 266134, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 12, United-States, <=50K
+54, Local-gov, 196307, 10th, 6, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 87891, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+54, Private, 182314, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 50, United-States, >50K
+55, ?, 136819, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 181666, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Own-child, White, Female, 0, 0, 40, ?, <=50K
+37, Private, 179671, 9th, 5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 50, United-States, <=50K
+34, Private, 27494, HS-grad, 9, Divorced, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 48, United-States, >50K
+38, Private, 338320, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, Canada, <=50K
+51, Private, 199688, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K
+41, Private, 96635, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 60, United-States, <=50K
+24, Private, 165064, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+56, Self-emp-inc, 109856, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K
+33, Private, 82393, HS-grad, 9, Never-married, Craft-repair, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K
+31, Private, 209538, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 209891, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 50, United-States, <=50K
+32, Self-emp-not-inc, 56026, Bachelors, 13, Married-civ-spouse, Sales, Other-relative, White, Male, 0, 0, 45, United-States, <=50K
+35, Private, 210844, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, Puerto-Rico, <=50K
+43, Private, 117158, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K
+40, Private, 193144, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 36, United-States, <=50K
+19, Self-emp-not-inc, 137578, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 53, United-States, <=50K
+23, Private, 234108, Assoc-acdm, 12, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 32, United-States, <=50K
+40, Private, 155767, HS-grad, 9, Separated, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+59, Private, 110820, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 38, United-States, >50K
+43, Private, 403276, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+43, Self-emp-not-inc, 147269, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, ?, <=50K
+53, Private, 123092, HS-grad, 9, Widowed, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+26, Private, 165673, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+68, Self-emp-inc, 182131, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 10605, 0, 20, United-States, >50K
+41, Private, 204415, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 48, United-States, >50K
+32, Self-emp-not-inc, 92531, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+25, State-gov, 157028, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 228649, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 147253, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 15, United-States, <=50K
+33, Private, 160784, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+26, Local-gov, 163189, Some-college, 10, Married-civ-spouse, Other-service, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 146343, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 25, United-States, <=50K
+20, Private, 225811, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 23, United-States, <=50K
+68, State-gov, 202699, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2377, 42, ?, >50K
+58, Private, 374108, Some-college, 10, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+32, Private, 93930, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 412248, Assoc-acdm, 12, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K
+30, Private, 427474, 9th, 5, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+67, State-gov, 160158, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 8, United-States, <=50K
+26, Private, 159603, Assoc-acdm, 12, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 32, United-States, <=50K
+53, Self-emp-not-inc, 101017, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 35, United-States, <=50K
+27, Local-gov, 163862, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K
+29, Without-pay, 212588, Some-college, 10, Married-civ-spouse, Farming-fishing, Own-child, White, Male, 0, 0, 65, United-States, <=50K
+38, State-gov, 321943, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+17, Private, 317702, 9th, 5, Never-married, Other-service, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+48, Private, 287480, Masters, 14, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K
+52, Private, 135607, Some-college, 10, Widowed, Other-service, Unmarried, Black, Female, 0, 0, 40, ?, <=50K
+28, Private, 168514, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K
+18, Private, 88642, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 15, United-States, <=50K
+28, Private, 227104, Some-college, 10, Divorced, Sales, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+34, Private, 157289, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+62, Private, 213321, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+46, Private, 294907, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+30, Private, 251411, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+20, Private, 183594, Some-college, 10, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 189565, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 2174, 0, 50, United-States, <=50K
+55, Private, 217802, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 25, United-States, <=50K
+20, Private, 388156, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 24, United-States, <=50K
+54, Private, 447555, 10th, 6, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+27, Private, 204098, 10th, 6, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+43, Private, 193882, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K
+17, ?, 89870, 10th, 6, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+48, State-gov, 49595, Masters, 14, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 72, United-States, <=50K
+34, Private, 228873, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+66, ?, 108185, 9th, 5, Married-civ-spouse, ?, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+29, Private, 176027, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+43, ?, 405374, Some-college, 10, Separated, ?, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+37, Private, 39606, Assoc-voc, 11, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+56, Private, 178353, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+58, Private, 160662, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+54, Self-emp-inc, 196328, Bachelors, 13, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 40, Jamaica, <=50K
+45, Private, 20534, Some-college, 10, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 41, United-States, <=50K
+29, Self-emp-inc, 156815, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 360252, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K
+43, Private, 245056, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, >50K
+33, Local-gov, 422718, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+45, Self-emp-not-inc, 118081, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 3103, 0, 42, United-States, <=50K
+25, Private, 262978, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+25, Private, 187577, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+69, ?, 259323, Prof-school, 15, Divorced, ?, Not-in-family, White, Male, 0, 0, 5, United-States, <=50K
+37, Private, 160920, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 194247, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K
+39, Private, 134367, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1977, 24, United-States, >50K
+17, Private, 123335, 10th, 6, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+27, Local-gov, 332249, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 358124, HS-grad, 9, Never-married, Other-service, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K
+55, Private, 208019, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+39, Private, 318452, 11th, 7, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K
+41, Private, 207779, HS-grad, 9, Separated, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+34, Private, 238376, 1st-4th, 2, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+51, Private, 673764, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+67, State-gov, 239705, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 12, ?, <=50K
+40, Private, 133974, Some-college, 10, Divorced, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+58, Private, 138285, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1740, 40, United-States, <=50K
+23, Private, 152140, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+45, Local-gov, 287920, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+51, Private, 289572, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 50, United-States, >50K
+43, State-gov, 78765, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+25, State-gov, 99076, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Female, 2597, 0, 50, United-States, <=50K
+36, Self-emp-not-inc, 224886, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 2407, 0, 40, United-States, <=50K
+58, Private, 206532, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+33, Private, 129529, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+60, Local-gov, 202473, Assoc-voc, 11, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 162312, HS-grad, 9, Never-married, Sales, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, South, <=50K
+45, Private, 72844, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 46, United-States, <=50K
+49, Private, 206947, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+19, Private, 64112, 12th, 8, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+34, State-gov, 20057, Some-college, 10, Married-spouse-absent, Adm-clerical, Unmarried, Asian-Pac-Islander, Female, 0, 0, 38, Philippines, <=50K
+42, State-gov, 222884, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 132683, HS-grad, 9, Never-married, Priv-house-serv, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+73, ?, 177773, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 15, United-States, <=50K
+59, Self-emp-not-inc, 144071, 5th-6th, 3, Married-civ-spouse, Other-service, Husband, White, Male, 2580, 0, 15, El-Salvador, <=50K
+28, Private, 148429, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 2885, 0, 40, United-States, <=50K
+19, Private, 168601, 11th, 7, Never-married, Other-service, Other-relative, White, Male, 0, 0, 30, United-States, <=50K
+31, State-gov, 78291, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+58, Federal-gov, 243929, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K
+21, Private, 215039, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 13, ?, <=50K
+47, Self-emp-not-inc, 185673, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+30, Private, 121142, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+41, Private, 173858, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, China, <=50K
+59, ?, 87247, 10th, 6, Divorced, ?, Not-in-family, White, Female, 0, 0, 40, England, <=50K
+43, Private, 334991, Some-college, 10, Separated, Transport-moving, Unmarried, White, Male, 4934, 0, 51, United-States, >50K
+48, Private, 93476, HS-grad, 9, Separated, Adm-clerical, Not-in-family, White, Female, 0, 2001, 40, United-States, <=50K
+44, Private, 174283, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+44, Private, 128676, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+24, Private, 205844, Bachelors, 13, Never-married, Exec-managerial, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+28, Private, 62535, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 43, United-States, <=50K
+50, Private, 240612, HS-grad, 9, Married-spouse-absent, Exec-managerial, Unmarried, White, Female, 0, 0, 10, United-States, <=50K
+33, Private, 176992, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+23, Local-gov, 254127, Bachelors, 13, Never-married, Prof-specialty, Other-relative, White, Female, 0, 0, 50, United-States, <=50K
+30, ?, 138744, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+46, Private, 128460, 10th, 6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+21, State-gov, 56582, Some-college, 10, Never-married, Tech-support, Own-child, White, Male, 0, 0, 10, United-States, <=50K
+52, Private, 153751, 9th, 5, Separated, Other-service, Not-in-family, Black, Female, 0, 0, 30, United-States, <=50K
+26, Private, 284343, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+27, State-gov, 312692, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 12, United-States, <=50K
+28, Private, 111520, 11th, 7, Never-married, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, Nicaragua, <=50K
+50, Self-emp-inc, 304955, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K
+28, Private, 288598, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K
+61, Self-emp-not-inc, 117387, 11th, 7, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 20, United-States, <=50K
+32, Private, 230484, 7th-8th, 4, Separated, Sales, Unmarried, White, Female, 0, 0, 35, United-States, <=50K
+30, Federal-gov, 319280, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+51, Local-gov, 186416, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+40, Local-gov, 147372, Some-college, 10, Never-married, Protective-serv, Not-in-family, White, Male, 0, 2444, 40, United-States, >50K
+36, Private, 145933, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 2258, 70, United-States, <=50K
+28, Private, 110164, Some-college, 10, Divorced, Other-service, Other-relative, Black, Male, 0, 0, 24, United-States, <=50K
+49, Private, 225454, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K
+61, Self-emp-not-inc, 220342, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 30, United-States, <=50K
+41, Self-emp-not-inc, 144002, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K
+55, Private, 225365, HS-grad, 9, Widowed, Other-service, Unmarried, White, Female, 0, 0, 30, United-States, <=50K
+36, Private, 187983, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, <=50K
+21, Private, 89991, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+57, Self-emp-not-inc, 225913, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, >50K
+49, Self-emp-inc, 229737, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 37, United-States, >50K
+59, Private, 145574, 11th, 7, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+41, Private, 274363, Some-college, 10, Separated, Sales, Not-in-family, White, Male, 0, 0, 80, United-States, >50K
+59, Private, 365390, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 266467, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 25, United-States, <=50K
+42, Private, 183384, Some-college, 10, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+41, Local-gov, 112797, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 60, United-States, <=50K
+45, Federal-gov, 76008, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+36, Private, 156780, HS-grad, 9, Never-married, Sales, Other-relative, Asian-Pac-Islander, Female, 0, 0, 40, ?, <=50K
+42, Local-gov, 186909, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 45, United-States, >50K
+25, Private, 25497, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+45, Private, 102771, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1887, 40, United-States, >50K
+58, Self-emp-not-inc, 248841, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 40, United-States, >50K
+39, Private, 30916, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 123270, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+22, Self-emp-not-inc, 210165, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+44, Private, 222596, HS-grad, 9, Divorced, Tech-support, Not-in-family, White, Male, 0, 0, 50, United-States, >50K
+53, Self-emp-inc, 188067, Some-college, 10, Widowed, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+22, Private, 119592, Assoc-acdm, 12, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 2824, 40, ?, >50K
+27, Private, 250314, 9th, 5, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, Guatemala, <=50K
+60, Private, 205934, HS-grad, 9, Separated, Other-service, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K
+46, Private, 186172, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 3103, 0, 40, United-States, >50K
+56, Self-emp-inc, 98418, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 40, United-States, >50K
+36, Private, 329980, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 27828, 0, 40, United-States, >50K
+56, Private, 147653, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 32, United-States, <=50K
+35, ?, 195946, Some-college, 10, Married-civ-spouse, ?, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, >50K
+29, Self-emp-inc, 168221, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1740, 70, United-States, <=50K
+19, Private, 151801, 10th, 6, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 39, United-States, <=50K
+38, Private, 177154, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+40, Federal-gov, 73883, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K
+52, Private, 175714, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K
+22, Private, 43535, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K
+32, State-gov, 104509, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K
+27, Private, 118230, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+25, Private, 152046, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, Guatemala, <=50K
+36, Private, 52327, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Other, Male, 0, 0, 40, Iran, >50K
+22, Private, 218886, 12th, 8, Never-married, Handlers-cleaners, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K
+32, Self-emp-not-inc, 84119, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+37, Private, 189674, Bachelors, 13, Separated, Exec-managerial, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+22, Private, 222993, HS-grad, 9, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 54, United-States, <=50K
+29, Private, 47429, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K
+42, Private, 144995, Preschool, 1, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K
+45, Private, 187969, Assoc-voc, 11, Never-married, Sales, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K
+33, Private, 288398, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+39, Private, 114591, Some-college, 10, Separated, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+27, Private, 167737, 12th, 8, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+53, Local-gov, 248834, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 50, United-States, >50K
+30, Private, 165686, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+52, Self-emp-not-inc, 40200, Some-college, 10, Widowed, Craft-repair, Not-in-family, Black, Male, 0, 0, 35, United-States, <=50K
+43, Self-emp-inc, 117158, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 60, United-States, >50K
+47, Local-gov, 216657, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 35, United-States, >50K
+61, Private, 124242, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 40, India, <=50K
+39, Local-gov, 239119, Masters, 14, Divorced, Prof-specialty, Not-in-family, Black, Male, 0, 0, 40, Dominican-Republic, <=50K
+47, Private, 190072, Some-college, 10, Divorced, Sales, Unmarried, White, Male, 0, 0, 50, United-States, <=50K
+19, Private, 378114, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 25, United-States, <=50K
+37, Private, 236990, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 3464, 0, 40, United-States, <=50K
+31, Private, 101761, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 51, United-States, <=50K
+69, Self-emp-not-inc, 37745, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 8, United-States, <=50K
+22, ?, 424494, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 25, United-States, <=50K
+29, Private, 130438, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 100605, Some-college, 10, Never-married, Machine-op-inspct, Own-child, Other, Male, 0, 0, 14, United-States, <=50K
+42, Private, 220776, HS-grad, 9, Separated, Handlers-cleaners, Unmarried, White, Male, 0, 0, 40, Poland, <=50K
+30, Local-gov, 154950, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 72, United-States, >50K
+28, Private, 192283, Masters, 14, Married-spouse-absent, Sales, Not-in-family, White, Female, 0, 0, 80, United-States, >50K
+27, Private, 210765, Assoc-voc, 11, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+53, Private, 147476, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+35, State-gov, 193241, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1651, 40, United-States, <=50K
+22, Private, 109053, 12th, 8, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 265618, HS-grad, 9, Separated, Protective-serv, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+38, Local-gov, 172855, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, Black, Female, 0, 1887, 40, United-States, >50K
+27, Private, 68848, Bachelors, 13, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 35, United-States, <=50K
+30, Private, 229051, 9th, 5, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 37, United-States, <=50K
+27, Private, 106039, Bachelors, 13, Divorced, Prof-specialty, Own-child, White, Female, 0, 0, 50, United-States, <=50K
+25, Private, 112835, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+36, ?, 205396, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 4, United-States, <=50K
+32, Private, 283400, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+70, Private, 195739, 10th, 6, Widowed, Craft-repair, Unmarried, White, Male, 0, 0, 45, United-States, <=50K
+50, Private, 36480, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 303291, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 35, United-States, <=50K
+34, Private, 293900, 11th, 7, Married-spouse-absent, Craft-repair, Not-in-family, Black, Male, 0, 0, 55, United-States, <=50K
+57, Self-emp-not-inc, 165922, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+39, Private, 65738, Masters, 14, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K
+49, Private, 175070, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+43, Private, 339814, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 5178, 0, 40, United-States, >50K
+26, Private, 150132, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+31, Private, 377374, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, Japan, <=50K
+60, Self-emp-not-inc, 166153, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K
+46, Private, 110171, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 50, United-States, >50K
+26, Private, 94477, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 7298, 0, 55, United-States, >50K
+27, Private, 194243, Prof-school, 15, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+31, Private, 106347, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 40, United-States, <=50K
+59, Private, 214865, HS-grad, 9, Widowed, Exec-managerial, Unmarried, White, Female, 0, 0, 50, United-States, <=50K
+19, ?, 185619, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+18, Private, 96445, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 24, United-States, <=50K
+22, Private, 102632, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K
+24, Private, 209034, Assoc-acdm, 12, Married-civ-spouse, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+53, State-gov, 153486, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K
+43, Private, 144371, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 42, United-States, >50K
+24, Private, 186213, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 50, United-States, >50K
+60, Private, 188236, 10th, 6, Widowed, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+24, Private, 418405, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+52, Federal-gov, 125796, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+32, Private, 183304, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 99, United-States, >50K
+34, Private, 329587, 10th, 6, Separated, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+35, Local-gov, 182570, Assoc-acdm, 12, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K
+38, Private, 446654, 9th, 5, Married-spouse-absent, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K
+34, Self-emp-not-inc, 254304, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 4508, 0, 90, United-States, <=50K
+53, Local-gov, 131258, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, >50K
+23, Private, 103632, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+40, Private, 241895, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 244945, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+50, Private, 20795, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, >50K
+17, Private, 347322, 10th, 6, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+53, Local-gov, 103995, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 1876, 54, United-States, <=50K
+32, Private, 53206, Bachelors, 13, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, >50K
+43, ?, 387839, HS-grad, 9, Never-married, ?, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+18, Private, 57108, 11th, 7, Never-married, Sales, Own-child, White, Male, 0, 0, 16, United-States, <=50K
+62, Private, 177791, 10th, 6, Divorced, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+45, Private, 33794, Masters, 14, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+46, Private, 249935, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 70, United-States, <=50K
+73, Self-emp-not-inc, 241121, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K
+64, Private, 98586, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K
+26, Private, 181920, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 45, United-States, >50K
+23, Private, 434467, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K
+30, Private, 113364, HS-grad, 9, Never-married, Machine-op-inspct, Other-relative, White, Male, 0, 0, 40, Vietnam, <=50K
+51, Private, 249706, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+35, Self-emp-not-inc, 95455, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 55, United-States, <=50K
+39, Private, 209867, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 13550, 0, 45, United-States, >50K
+35, Self-emp-inc, 79586, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, India, >50K
+41, Private, 289669, HS-grad, 9, Widowed, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+31, Private, 347166, Some-college, 10, Divorced, Craft-repair, Own-child, White, Male, 4650, 0, 40, United-States, <=50K
+40, Private, 53835, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+46, Local-gov, 14878, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, >50K
+31, Private, 266126, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+41, Self-emp-inc, 146659, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, Honduras, <=50K
+42, Private, 125280, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 3137, 0, 40, United-States, <=50K
+23, Private, 173535, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+21, ?, 77665, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+49, Private, 280525, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, >50K
+53, Private, 479621, Assoc-voc, 11, Divorced, Tech-support, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+38, Local-gov, 194630, Bachelors, 13, Never-married, Protective-serv, Not-in-family, White, Female, 4787, 0, 43, United-States, >50K
+36, Private, 247600, Assoc-acdm, 12, Divorced, Exec-managerial, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, Taiwan, <=50K
+32, Private, 258406, Some-college, 10, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 72, Mexico, <=50K
+20, Private, 107746, 11th, 7, Never-married, Transport-moving, Other-relative, White, Male, 0, 0, 40, Guatemala, <=50K
+17, ?, 47407, 11th, 7, Never-married, ?, Own-child, White, Male, 0, 0, 10, United-States, <=50K
+22, Private, 229987, Some-college, 10, Never-married, Tech-support, Other-relative, Asian-Pac-Islander, Female, 0, 0, 32, United-States, <=50K
+25, Private, 312338, Assoc-voc, 11, Never-married, Craft-repair, Unmarried, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K
+58, Private, 225394, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1902, 40, United-States, <=50K
+24, Private, 373718, Some-college, 10, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K
+48, State-gov, 120131, HS-grad, 9, Divorced, Craft-repair, Own-child, White, Male, 8614, 0, 40, United-States, >50K
+20, Private, 472789, 1st-4th, 2, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 30, El-Salvador, <=50K
+60, Self-emp-not-inc, 27886, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+20, Private, 138352, HS-grad, 9, Never-married, Other-service, Other-relative, White, Male, 0, 0, 30, United-States, <=50K
+52, Private, 123011, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+36, Private, 306567, HS-grad, 9, Married-civ-spouse, Transport-moving, Wife, White, Female, 0, 0, 40, United-States, >50K
+46, Local-gov, 187749, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, >50K
+22, Private, 260594, 11th, 7, Never-married, Sales, Unmarried, White, Female, 0, 0, 25, United-States, <=50K
+19, Private, 236879, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+37, Private, 186808, HS-grad, 9, Never-married, Sales, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 373213, Assoc-voc, 11, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, >50K
+44, Private, 187629, Assoc-acdm, 12, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K
+63, ?, 106648, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 25, United-States, <=50K
+22, Private, 305781, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, Canada, <=50K
+31, Self-emp-inc, 256362, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 3908, 0, 50, United-States, <=50K
+17, Private, 239947, 11th, 7, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 349041, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+67, Private, 105252, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+46, Private, 182715, 7th-8th, 4, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 166210, HS-grad, 9, Divorced, Handlers-cleaners, Own-child, White, Male, 0, 0, 50, United-States, <=50K
+20, Private, 113200, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 6, United-States, <=50K
+27, Private, 142075, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 24, United-States, <=50K
+35, Private, 454843, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+19, Private, 142219, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+36, Private, 112512, 12th, 8, Separated, Other-service, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K
+43, Private, 212894, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K
+62, State-gov, 265201, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 251905, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 2339, 40, Canada, <=50K
+18, Private, 170627, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+59, Private, 354037, Prof-school, 15, Married-civ-spouse, Transport-moving, Husband, Black, Male, 15024, 0, 50, United-States, >50K
+37, Private, 259089, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 21856, Some-college, 10, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+46, Local-gov, 207946, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 43, United-States, <=50K
+29, Private, 77009, 11th, 7, Separated, Sales, Not-in-family, White, Female, 0, 2754, 42, United-States, <=50K
+33, Private, 36539, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K
+62, Private, 176811, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+46, Private, 456062, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2415, 55, United-States, >50K
+28, Private, 277746, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 288132, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+46, Federal-gov, 344415, Masters, 14, Married-civ-spouse, Armed-Forces, Husband, White, Male, 0, 1887, 40, United-States, >50K
+54, Self-emp-inc, 206964, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 1977, 40, United-States, >50K
+34, Private, 198091, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 72, United-States, <=50K
+67, ?, 150264, Doctorate, 16, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 20, Canada, >50K
+62, Private, 588484, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 20, United-States, >50K
+30, Private, 113364, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Poland, <=50K
+19, Private, 270551, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+49, ?, 31478, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 99, United-States, <=50K
+27, Private, 190525, Assoc-voc, 11, Never-married, Machine-op-inspct, Unmarried, White, Male, 0, 0, 45, United-States, <=50K
+36, Private, 153066, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K
+52, Private, 150393, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K
+47, Private, 99911, 12th, 8, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K
+57, Local-gov, 343447, HS-grad, 9, Divorced, Protective-serv, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+64, Private, 169482, Some-college, 10, Married-spouse-absent, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+56, ?, 32855, HS-grad, 9, Divorced, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+53, Private, 194501, 11th, 7, Widowed, Other-service, Own-child, White, Female, 0, 0, 47, United-States, <=50K
+53, Private, 177705, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 44, United-States, >50K
+31, Private, 123983, Some-college, 10, Separated, Sales, Unmarried, Asian-Pac-Islander, Male, 0, 0, 40, South, <=50K
+41, Private, 138975, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 45, United-States, >50K
+45, Local-gov, 235431, HS-grad, 9, Separated, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+63, ?, 83043, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 2179, 45, United-States, <=50K
+45, State-gov, 130206, HS-grad, 9, Divorced, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+23, Private, 210053, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 28, United-States, <=50K
+39, Local-gov, 249392, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 72, United-States, <=50K
+31, Private, 87418, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+35, Self-emp-not-inc, 190387, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 45, United-States, <=50K
+54, Private, 176240, Masters, 14, Married-civ-spouse, Transport-moving, Husband, White, Male, 7688, 0, 60, United-States, >50K
+22, ?, 211013, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, Mexico, <=50K
+40, Local-gov, 105862, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 5455, 0, 40, United-States, <=50K
+55, Self-emp-not-inc, 185195, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+31, Private, 173495, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+58, Self-emp-inc, 78634, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K
+31, Private, 147284, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 99, United-States, >50K
+46, Self-emp-not-inc, 82572, HS-grad, 9, Widowed, Other-service, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+38, Private, 154641, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+22, Local-gov, 39236, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 594, 0, 25, United-States, <=50K
+17, ?, 64785, 10th, 6, Never-married, ?, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+48, Self-emp-not-inc, 179337, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, England, <=50K
+73, Private, 173047, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 15, United-States, <=50K
+25, Private, 264012, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, >50K
+53, Federal-gov, 227836, Some-college, 10, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+46, Private, 321327, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 7298, 0, 45, United-States, >50K
+45, Self-emp-inc, 108100, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, Asian-Pac-Islander, Female, 99999, 0, 25, ?, >50K
+37, Private, 146398, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+30, Private, 324120, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 50, United-States, <=50K
+29, Private, 367329, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+29, State-gov, 301582, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K
+75, ?, 222789, Bachelors, 13, Widowed, ?, Not-in-family, White, Female, 0, 0, 6, United-States, <=50K
+58, Private, 170108, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+42, Self-emp-not-inc, 82297, 7th-8th, 4, Married-civ-spouse, Other-service, Wife, Black, Female, 0, 0, 50, United-States, <=50K
+62, Local-gov, 180162, 9th, 5, Divorced, Protective-serv, Not-in-family, Black, Male, 0, 0, 24, United-States, <=50K
+45, Local-gov, 348172, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, Asian-Pac-Islander, Male, 7298, 0, 40, United-States, >50K
+38, Private, 809585, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+36, Self-emp-not-inc, 67728, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+70, ?, 163057, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 2009, 0, 40, United-States, <=50K
+42, Self-emp-not-inc, 102069, 7th-8th, 4, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 30, United-States, <=50K
+47, Local-gov, 149700, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 35, United-States, >50K
+42, Self-emp-not-inc, 109273, Some-college, 10, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+43, Private, 393354, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 38, United-States, >50K
+37, Private, 226947, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+36, State-gov, 86805, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 7298, 0, 39, United-States, >50K
+27, Private, 493689, Bachelors, 13, Never-married, Tech-support, Not-in-family, Black, Female, 0, 0, 40, France, <=50K
+54, Private, 299324, 5th-6th, 3, Married-spouse-absent, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, Mexico, <=50K
+48, Self-emp-not-inc, 353012, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1902, 40, United-States, >50K
+29, Private, 174419, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 30, United-States, <=50K
+29, Private, 209472, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 38, United-States, <=50K
+37, Private, 295127, Some-college, 10, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 47, United-States, <=50K
+55, Self-emp-inc, 182273, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+67, Private, 228200, HS-grad, 9, Married-civ-spouse, Priv-house-serv, Wife, Black, Female, 0, 0, 20, United-States, <=50K
+51, Private, 263836, HS-grad, 9, Widowed, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+35, Private, 178948, Masters, 14, Never-married, Prof-specialty, Unmarried, White, Female, 0, 0, 32, United-States, <=50K
+41, Private, 43945, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, ?, <=50K
+64, Self-emp-not-inc, 253296, HS-grad, 9, Widowed, Other-service, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+23, Private, 240137, 5th-6th, 3, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 55, Mexico, <=50K
+49, Private, 24712, Bachelors, 13, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 35, Philippines, <=50K
+38, Self-emp-not-inc, 342635, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 70, United-States, <=50K
+62, Private, 115387, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K
+62, Self-emp-not-inc, 182998, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 10, United-States, <=50K
+70, ?, 133248, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 14, United-States, <=50K
+45, Self-emp-not-inc, 246891, Masters, 14, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 30035, Assoc-acdm, 12, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+38, Private, 175232, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, <=50K
+50, Self-emp-inc, 140516, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 64980, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 55, United-States, >50K
+30, Private, 155781, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 70, United-States, <=50K
+52, Federal-gov, 192065, Some-college, 10, Separated, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+28, Self-emp-not-inc, 227890, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Black, Male, 0, 0, 50, United-States, >50K
+62, Self-emp-not-inc, 162249, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 30, United-States, <=50K
+31, Private, 165949, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+40, Private, 445382, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+34, Private, 211948, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 1590, 40, United-States, <=50K
+53, Private, 163678, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+42, Private, 89413, 12th, 8, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 289700, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 25, United-States, <=50K
+51, Private, 163826, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K
+49, Private, 185385, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+43, Private, 169031, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+42, Private, 54611, Some-college, 10, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 130620, 11th, 7, Married-spouse-absent, Sales, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, India, <=50K
+26, Private, 328663, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Other, Male, 0, 0, 40, United-States, <=50K
+50, Private, 169646, Bachelors, 13, Separated, Prof-specialty, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K
+35, Private, 186815, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 103925, Some-college, 10, Never-married, Tech-support, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+53, ?, 150393, HS-grad, 9, Never-married, ?, Not-in-family, White, Male, 0, 1504, 35, United-States, <=50K
+20, Private, 82777, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 16, United-States, <=50K
+31, Local-gov, 178449, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+28, Private, 51672, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+46, Private, 380162, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, Black, Male, 0, 0, 40, United-States, >50K
+21, Private, 212114, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 8, United-States, <=50K
+41, Self-emp-not-inc, 100800, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 70, United-States, >50K
+30, Private, 162572, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 70, United-States, >50K
+66, Self-emp-inc, 179951, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 70, United-States, <=50K
+37, Self-emp-inc, 190759, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K
+74, State-gov, 236012, 7th-8th, 4, Widowed, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+46, State-gov, 164023, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 70, United-States, >50K
+51, Private, 172046, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 50, United-States, >50K
+33, Private, 182926, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K
+30, Private, 151001, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 3464, 0, 40, Mexico, <=50K
+47, Self-emp-inc, 362835, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+49, Private, 97883, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+53, Private, 91911, HS-grad, 9, Divorced, Craft-repair, Unmarried, Black, Female, 0, 0, 48, United-States, <=50K
+24, Private, 278130, Assoc-voc, 11, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+54, Private, 146310, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K
+32, Private, 379412, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+45, Private, 37987, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K
+46, Self-emp-inc, 256909, HS-grad, 9, Married-spouse-absent, Farming-fishing, Not-in-family, White, Male, 3325, 0, 45, United-States, <=50K
+37, State-gov, 482927, Some-college, 10, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K
+48, State-gov, 44434, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 61, United-States, >50K
+25, Private, 255474, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+28, ?, 303674, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 3103, 0, 20, United-States, <=50K
+44, ?, 195488, 12th, 8, Separated, ?, Not-in-family, White, Female, 0, 0, 36, Puerto-Rico, <=50K
+58, ?, 114362, Some-college, 10, Married-civ-spouse, ?, Husband, Black, Male, 0, 0, 30, United-States, <=50K
+27, Private, 341504, Some-college, 10, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+69, Private, 197080, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Male, 0, 0, 8, United-States, <=50K
+38, Private, 102945, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 52, United-States, >50K
+47, Private, 503454, 12th, 8, Never-married, Adm-clerical, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K
+30, Self-emp-not-inc, 87561, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K
+46, Private, 270693, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 3674, 0, 30, United-States, <=50K
+27, Private, 252813, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+19, Private, 574271, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+18, Private, 184016, HS-grad, 9, Married-civ-spouse, Priv-house-serv, Not-in-family, White, Female, 3103, 0, 40, United-States, <=50K
+24, Private, 235071, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K
+32, Private, 158242, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+38, Private, 299810, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+19, Private, 277695, Preschool, 1, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 36, Hong, <=50K
+28, Private, 23324, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+39, Local-gov, 316582, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K
+38, Self-emp-not-inc, 176657, Some-college, 10, Separated, Sales, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 60, Japan, <=50K
+42, Private, 93770, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, United-States, >50K
+31, Private, 124569, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K
+46, Private, 117313, 9th, 5, Separated, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, Ireland, <=50K
+53, Private, 53812, Some-college, 10, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 54, United-States, <=50K
+21, Private, 170456, Assoc-acdm, 12, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 15, United-States, <=50K
+48, Self-emp-not-inc, 115971, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K
+46, Private, 31432, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 3103, 0, 52, United-States, >50K
+30, Private, 112383, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K
+24, Private, 283092, HS-grad, 9, Never-married, Adm-clerical, Other-relative, Black, Male, 0, 0, 40, Jamaica, <=50K
+32, Private, 27207, 10th, 6, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+30, Private, 46712, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+57, State-gov, 19520, Doctorate, 16, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 50, United-States, <=50K
+56, Private, 98630, 7th-8th, 4, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 159897, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, Black, Female, 0, 0, 37, United-States, <=50K
+38, Private, 136629, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Iran, <=50K
+19, Private, 407759, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+61, Self-emp-not-inc, 221884, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, >50K
+49, Private, 148475, Assoc-voc, 11, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+28, Private, 274964, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 38, United-States, <=50K
+50, Self-emp-inc, 160107, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K
+43, Private, 167265, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 84, United-States, >50K
+34, Private, 148226, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 48, United-States, <=50K
+28, Private, 153869, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 208881, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+55, Private, 256953, HS-grad, 9, Widowed, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 44, United-States, <=50K
+26, Private, 100147, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 45, United-States, >50K
+51, Local-gov, 166461, Doctorate, 16, Married-civ-spouse, Prof-specialty, Wife, Black, Female, 0, 0, 40, United-States, >50K
+35, Private, 171327, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+42, Private, 297335, Assoc-acdm, 12, Married-spouse-absent, Exec-managerial, Unmarried, Asian-Pac-Islander, Female, 0, 0, 31, Laos, <=50K
+63, ?, 133166, Doctorate, 16, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 12, United-States, <=50K
+31, Private, 169589, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+22, Local-gov, 273734, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+67, Private, 158301, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+50, ?, 257117, 9th, 5, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 50, United-States, <=50K
+63, Private, 196725, HS-grad, 9, Widowed, Other-service, Unmarried, White, Female, 0, 0, 24, United-States, <=50K
+31, Private, 137444, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K
+17, Private, 286960, 11th, 7, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+41, Local-gov, 201435, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+53, Local-gov, 216931, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 38, United-States, <=50K
+44, Local-gov, 212665, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 99, United-States, <=50K
+24, Private, 462820, Bachelors, 13, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 198841, Assoc-voc, 11, Divorced, Tech-support, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+61, Private, 219886, Some-college, 10, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 40, United-States, >50K
+31, Private, 163003, Assoc-acdm, 12, Never-married, Prof-specialty, Other-relative, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K
+44, Private, 112262, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 5178, 0, 40, United-States, >50K
+56, Private, 213105, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 36, United-States, >50K
+66, Private, 302072, Assoc-acdm, 12, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+45, Private, 338105, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Vietnam, <=50K
+69, Self-emp-not-inc, 58213, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 20051, 0, 45, United-States, >50K
+64, Private, 125684, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 215419, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 36, United-States, >50K
+43, Local-gov, 413760, Some-college, 10, Separated, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+37, Private, 205339, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 49, United-States, <=50K
+19, Private, 236570, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 16, United-States, <=50K
+59, Self-emp-not-inc, 247552, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+50, Federal-gov, 184007, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 341187, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+56, Private, 220187, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 45, United-States, >50K
+28, Private, 198258, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 175821, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 34, United-States, <=50K
+42, Private, 92288, Masters, 14, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 40, ?, <=50K
+34, Private, 261418, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+19, Private, 203319, 11th, 7, Never-married, Sales, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+68, Self-emp-not-inc, 166083, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+28, Private, 109001, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 38, United-States, >50K
+81, ?, 106765, Some-college, 10, Widowed, ?, Unmarried, White, Female, 0, 0, 4, United-States, <=50K
+22, Self-emp-not-inc, 197387, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+58, Private, 284834, Assoc-acdm, 12, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+31, Private, 87535, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K
+17, Local-gov, 175587, 11th, 7, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+25, Private, 242700, Some-college, 10, Never-married, Transport-moving, Not-in-family, White, Male, 10520, 0, 50, United-States, >50K
+23, Private, 161478, Some-college, 10, Never-married, Other-service, Own-child, Asian-Pac-Islander, Female, 0, 0, 23, United-States, <=50K
+25, Private, 51498, 12th, 8, Never-married, Other-service, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+47, Private, 220124, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+39, Private, 188503, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 60, United-States, >50K
+44, Private, 113324, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+46, Private, 208872, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+38, Self-emp-not-inc, 34180, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 35, United-States, <=50K
+23, Private, 292023, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+34, Private, 141118, Bachelors, 13, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+33, Private, 348592, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+38, Private, 185203, HS-grad, 9, Widowed, Other-service, Unmarried, White, Female, 0, 0, 20, United-States, <=50K
+52, Self-emp-not-inc, 165278, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+50, Private, 116933, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 33, United-States, <=50K
+38, Private, 237608, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 2444, 45, United-States, >50K
+35, Private, 84787, Bachelors, 13, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+67, Self-emp-not-inc, 217892, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 10605, 0, 35, United-States, >50K
+60, Private, 325971, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 7688, 0, 40, United-States, >50K
+44, Private, 206878, HS-grad, 9, Never-married, Sales, Other-relative, White, Female, 0, 0, 15, United-States, <=50K
+38, Self-emp-not-inc, 127772, HS-grad, 9, Divorced, Farming-fishing, Own-child, White, Male, 0, 0, 50, United-States, <=50K
+29, Private, 208577, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+65, Private, 344152, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 5556, 0, 50, United-States, >50K
+33, Private, 40681, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+29, ?, 95108, HS-grad, 9, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+18, Private, 280603, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+43, Private, 188436, Prof-school, 15, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+42, Private, 134220, Assoc-voc, 11, Divorced, Exec-managerial, Own-child, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K
+42, Private, 177989, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 164190, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 30, United-States, <=50K
+36, Private, 90897, Assoc-acdm, 12, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+41, State-gov, 33126, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, >50K
+30, Private, 270886, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+21, Private, 216129, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+33, Private, 189368, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, >50K
+19, ?, 141418, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 15, United-States, <=50K
+19, Private, 306225, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 25, United-States, <=50K
+35, Private, 330664, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+43, Private, 191765, HS-grad, 9, Divorced, Tech-support, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K
+45, Private, 289353, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 24, United-States, <=50K
+25, Private, 53147, Bachelors, 13, Never-married, Exec-managerial, Own-child, Black, Male, 0, 0, 50, United-States, <=50K
+39, Self-emp-not-inc, 122353, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 188767, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+60, Private, 239576, Masters, 14, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 10, United-States, <=50K
+52, Local-gov, 155141, Doctorate, 16, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K
+22, Private, 64520, 12th, 8, Never-married, Transport-moving, Unmarried, White, Male, 0, 0, 30, United-States, <=50K
+23, Private, 478994, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+46, Private, 155654, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K
+34, Self-emp-not-inc, 124052, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 30, United-States, <=50K
+39, Private, 245053, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+38, Private, 183585, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+56, Self-emp-not-inc, 323639, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 25, United-States, <=50K
+55, Federal-gov, 186791, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+40, Private, 284303, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 7688, 0, 40, United-States, >50K
+23, Private, 186666, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+39, Private, 200153, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 180931, Bachelors, 13, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 30, United-States, <=50K
+51, Self-emp-not-inc, 183173, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+47, Self-emp-inc, 120131, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, Cuba, >50K
+25, Self-emp-not-inc, 263300, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+34, Private, 226443, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K
+18, Private, 404868, 11th, 7, Never-married, Sales, Own-child, Black, Female, 0, 1602, 20, United-States, <=50K
+19, Private, 208506, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 28, United-States, <=50K
+32, Private, 46746, Some-college, 10, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+49, Private, 246183, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+40, ?, 165309, 7th-8th, 4, Separated, ?, Not-in-family, White, Female, 0, 0, 8, United-States, <=50K
+43, Private, 122749, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K
+71, Self-emp-inc, 38822, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 40, United-States, >50K
+59, Private, 167963, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 273241, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K
+25, Private, 120238, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 167990, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, Ireland, <=50K
+17, Private, 225507, 11th, 7, Never-married, Handlers-cleaners, Not-in-family, Black, Female, 0, 0, 15, United-States, <=50K
+57, Self-emp-inc, 125000, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, >50K
+17, Self-emp-not-inc, 174120, 12th, 8, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 15, United-States, <=50K
+27, Private, 230959, Bachelors, 13, Never-married, Tech-support, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K
+41, Local-gov, 132125, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K
+62, ?, 68461, Doctorate, 16, Married-civ-spouse, ?, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, >50K
+19, Private, 227178, 11th, 7, Never-married, Sales, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K
+41, Private, 165798, 5th-6th, 3, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, Puerto-Rico, <=50K
+39, Private, 129573, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, >50K
+30, Private, 224377, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 179481, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K
+18, Private, 434268, 11th, 7, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+40, Self-emp-not-inc, 173716, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K
+38, Self-emp-inc, 244803, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 1485, 60, Cuba, >50K
+24, Private, 114230, HS-grad, 9, Never-married, Sales, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 188661, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+48, Private, 216093, Bachelors, 13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+51, Private, 124963, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+48, Private, 85341, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+43, Private, 193490, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+34, Private, 80058, Prof-school, 15, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 50, United-States, <=50K
+41, Private, 139907, Assoc-voc, 11, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+51, Self-emp-inc, 54342, Prof-school, 15, Divorced, Prof-specialty, Not-in-family, White, Male, 27828, 0, 60, United-States, >50K
+25, Private, 188767, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 117222, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 50, United-States, <=50K
+61, Self-emp-inc, 171831, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 2829, 0, 45, United-States, <=50K
+35, Private, 187119, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 70, United-States, <=50K
+42, Local-gov, 97277, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+26, Local-gov, 219760, HS-grad, 9, Never-married, Other-service, Other-relative, White, Male, 0, 0, 16, United-States, <=50K
+46, Private, 63299, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 50, United-States, <=50K
+39, State-gov, 171482, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+18, ?, 344742, 10th, 6, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 210869, Some-college, 10, Never-married, Sales, Own-child, Black, Male, 0, 0, 80, United-States, <=50K
+39, Private, 38312, Some-college, 10, Married-spouse-absent, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, >50K
+47, Private, 119939, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+40, Private, 83953, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K
+43, State-gov, 101383, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+32, Private, 204374, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 176831, 10th, 6, Divorced, Sales, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+19, ?, 60688, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+44, Federal-gov, 251305, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+46, Local-gov, 200947, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K
+53, Self-emp-not-inc, 46704, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+43, Private, 119721, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+41, State-gov, 58930, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+35, Private, 247750, HS-grad, 9, Widowed, Other-service, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K
+48, Private, 67725, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K
+28, State-gov, 200775, Masters, 14, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K
+44, Private, 183542, Bachelors, 13, Widowed, Prof-specialty, Unmarried, White, Female, 0, 0, 32, United-States, <=50K
+20, ?, 25139, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+51, Local-gov, 123325, Prof-school, 15, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+28, Private, 269786, HS-grad, 9, Never-married, Transport-moving, Unmarried, White, Male, 0, 0, 50, United-States, <=50K
+36, Private, 51089, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+28, Private, 136985, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 35, United-States, <=50K
+21, Private, 129350, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+34, ?, 35595, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 30, United-States, <=50K
+36, Local-gov, 61299, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+25, ?, 192321, Assoc-acdm, 12, Never-married, ?, Own-child, White, Female, 0, 0, 80, United-States, <=50K
+31, Private, 257644, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 43, United-States, <=50K
+44, Self-emp-not-inc, 70884, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K
+49, Local-gov, 159726, 11th, 7, Divorced, Handlers-cleaners, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 174395, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+64, Federal-gov, 175534, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, China, >50K
+54, Local-gov, 173050, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 40, United-States, >50K
+27, Private, 32519, Some-college, 10, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 55, South, <=50K
+18, Private, 322999, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+68, Private, 148874, 9th, 5, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 44, United-States, <=50K
+64, Private, 43738, Doctorate, 16, Widowed, Prof-specialty, Not-in-family, White, Male, 0, 0, 80, United-States, >50K
+36, Private, 195385, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K
+21, Private, 149809, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 24, United-States, <=50K
+22, Private, 51985, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+61, Private, 105384, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 137591, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 10, Greece, <=50K
+49, State-gov, 324791, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+25, Private, 184303, Some-college, 10, Separated, Priv-house-serv, Other-relative, White, Female, 0, 0, 30, El-Salvador, <=50K
+66, ?, 314347, HS-grad, 9, Married-civ-spouse, ?, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+29, Private, 274010, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+22, Private, 321031, HS-grad, 9, Never-married, Sales, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+57, Federal-gov, 313929, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K
+41, Private, 394669, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 1741, 40, United-States, <=50K
+29, Private, 152951, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+20, Private, 247115, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K
+47, Private, 175958, Prof-school, 15, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K
+22, Private, 109039, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K
+59, Self-emp-inc, 141326, Assoc-voc, 11, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, >50K
+42, State-gov, 74334, Masters, 14, Married-civ-spouse, Adm-clerical, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, >50K
+64, Self-emp-not-inc, 47462, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+29, Federal-gov, 182344, HS-grad, 9, Married-spouse-absent, Other-service, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K
+25, State-gov, 295912, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K
+62, Private, 311495, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+44, Private, 236746, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Male, 10520, 0, 45, United-States, >50K
+21, Private, 187643, HS-grad, 9, Separated, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+60, Private, 282923, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 40, United-States, >50K
+46, Private, 501671, 10th, 6, Divorced, Machine-op-inspct, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K
+44, Federal-gov, 29591, Bachelors, 13, Divorced, Tech-support, Not-in-family, White, Male, 0, 2258, 40, United-States, >50K
+21, Private, 301556, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 19, United-States, <=50K
+18, Private, 187240, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 18, United-States, <=50K
+39, Private, 219483, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 5013, 0, 32, United-States, <=50K
+33, Private, 594187, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K
+63, Private, 200474, 1st-4th, 2, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+52, Local-gov, 152795, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 52, United-States, >50K
+17, Private, 230789, 9th, 5, Never-married, Sales, Own-child, Black, Male, 0, 0, 22, United-States, <=50K
+45, Self-emp-inc, 311231, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1485, 50, United-States, >50K
+31, Private, 114691, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 194591, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 114691, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K
+51, State-gov, 42017, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+48, Local-gov, 383384, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K
+28, Private, 29444, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K
+42, Federal-gov, 53727, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, ?, <=50K
+38, Private, 277022, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, Columbia, <=50K
+43, Local-gov, 113324, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+30, Private, 342709, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 179203, 12th, 8, Never-married, Sales, Other-relative, White, Male, 0, 0, 55, United-States, <=50K
+46, Private, 251474, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K
+50, Private, 93730, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K
+22, Private, 37894, HS-grad, 9, Separated, Other-service, Other-relative, White, Male, 0, 0, 35, United-States, <=50K
+18, State-gov, 272918, HS-grad, 9, Never-married, Adm-clerical, Own-child, Black, Male, 0, 0, 15, United-States, <=50K
+53, Private, 151411, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K
+40, Private, 210648, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 44, United-States, >50K
+36, Self-emp-not-inc, 347491, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, <=50K
+32, Private, 255885, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 43, United-States, >50K
+39, Private, 356838, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 12, United-States, <=50K
+46, Private, 216164, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+26, Local-gov, 288781, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K
+19, Private, 439779, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 15, United-States, <=50K
+24, Private, 161638, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, Ecuador, <=50K
+28, Private, 190525, Masters, 14, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+25, Local-gov, 276249, Masters, 14, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+44, Private, 147265, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+38, Private, 245090, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Nicaragua, <=50K
+42, State-gov, 219682, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+28, Private, 392100, HS-grad, 9, Married-civ-spouse, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 358682, Bachelors, 13, Never-married, Exec-managerial, Other-relative, White, Male, 0, 0, 50, ?, <=50K
+47, Private, 262244, Bachelors, 13, Never-married, Sales, Not-in-family, Black, Male, 0, 0, 60, United-States, >50K
+46, Private, 171228, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 3411, 0, 35, Guatemala, <=50K
+21, Local-gov, 218445, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, Mexico, <=50K
+19, ?, 182609, HS-grad, 9, Never-married, ?, Own-child, Black, Female, 0, 0, 25, United-States, <=50K
+35, Private, 509462, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+26, Private, 213258, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 118401, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+67, Self-emp-not-inc, 45814, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K
+54, Private, 329733, HS-grad, 9, Never-married, Exec-managerial, Unmarried, White, Male, 0, 0, 40, United-States, >50K
+26, Private, 29957, Masters, 14, Never-married, Tech-support, Other-relative, White, Male, 0, 0, 25, United-States, <=50K
+51, Private, 215854, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+27, Private, 327766, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+27, Private, 405765, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, ?, >50K
+39, Private, 80680, Some-college, 10, Divorced, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+32, Private, 177792, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 48, United-States, >50K
+52, Private, 273514, HS-grad, 9, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 202373, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+27, Local-gov, 332785, HS-grad, 9, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 38, United-States, <=50K
+46, Private, 149640, 7th-8th, 4, Married-spouse-absent, Transport-moving, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+42, Private, 40151, Assoc-voc, 11, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 30, United-States, <=50K
+79, Self-emp-inc, 183686, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 20, United-States, >50K
+50, Federal-gov, 32801, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, >50K
+19, ?, 195282, HS-grad, 9, Never-married, ?, Own-child, Black, Female, 0, 0, 20, United-States, <=50K
+43, Federal-gov, 134026, Some-college, 10, Never-married, Adm-clerical, Other-relative, White, Male, 2174, 0, 40, United-States, <=50K
+51, Local-gov, 96678, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K
+45, Private, 174533, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 7298, 0, 50, United-States, >50K
+65, Private, 180807, HS-grad, 9, Separated, Protective-serv, Not-in-family, White, Male, 991, 0, 20, United-States, <=50K
+66, Private, 186324, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 5, United-States, >50K
+36, Self-emp-not-inc, 257250, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 99, United-States, <=50K
+26, Private, 212800, Assoc-acdm, 12, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 36, United-States, <=50K
+28, Private, 55360, Some-college, 10, Never-married, Sales, Not-in-family, Black, Male, 0, 0, 50, United-States, <=50K
+39, Self-emp-not-inc, 195253, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K
+43, Private, 45156, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K
+20, Private, 435469, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, Mexico, <=50K
+29, Private, 231287, Some-college, 10, Divorced, Tech-support, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 168854, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1848, 50, United-States, >50K
+44, Self-emp-not-inc, 185057, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 3325, 0, 40, United-States, <=50K
+18, ?, 91670, Some-college, 10, Never-married, ?, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K
+60, Private, 165517, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 73161, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+60, Private, 178792, HS-grad, 9, Widowed, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+38, Private, 32897, 11th, 7, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+29, Private, 250967, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+41, Private, 41901, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 1408, 40, United-States, <=50K
+49, Private, 379779, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+37, Private, 217838, 5th-6th, 3, Separated, Other-service, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K
+37, Self-emp-not-inc, 137527, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 2559, 60, United-States, >50K
+43, Private, 198965, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 38, United-States, >50K
+41, Private, 70645, Masters, 14, Widowed, Prof-specialty, Not-in-family, White, Female, 4650, 0, 55, United-States, <=50K
+37, Private, 220644, HS-grad, 9, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 40, ?, <=50K
+19, Private, 175081, 9th, 5, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 60, United-States, <=50K
+29, Private, 180299, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 35, United-States, <=50K
+40, Self-emp-not-inc, 548664, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 15, United-States, <=50K
+53, Private, 278114, 7th-8th, 4, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+27, Private, 394927, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K
+44, Self-emp-not-inc, 127482, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 50, England, >50K
+29, Private, 236938, Assoc-acdm, 12, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 38, United-States, <=50K
+25, Private, 232991, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male, 0, 0, 40, Mexico, <=50K
+38, Private, 34378, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K
+48, Self-emp-inc, 81513, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+18, Private, 106780, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 12, United-States, <=50K
+50, Private, 178596, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 1408, 50, United-States, <=50K
+37, Private, 329026, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K
+48, Private, 26490, Bachelors, 13, Widowed, Other-service, Unmarried, White, Female, 0, 0, 20, United-States, <=50K
+50, Private, 338033, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 32, United-States, <=50K
+74, ?, 169303, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 6767, 0, 6, United-States, <=50K
+24, Private, 21154, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+34, Private, 209449, Some-college, 10, Married-civ-spouse, Tech-support, Husband, Black, Male, 0, 0, 40, United-States, >50K
+19, Private, 389143, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+39, Private, 101260, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 198270, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+30, Private, 45781, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+27, Private, 134566, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+23, ?, 283806, 9th, 5, Divorced, ?, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+68, ?, 286869, 7th-8th, 4, Widowed, ?, Not-in-family, White, Female, 0, 1668, 40, ?, <=50K
+46, Private, 422813, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+24, Local-gov, 103277, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 50, United-States, <=50K
+18, Private, 201871, 12th, 8, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+50, Self-emp-not-inc, 167728, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K
+42, Private, 211517, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+42, Private, 118212, 9th, 5, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 259846, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 3471, 0, 40, United-States, <=50K
+57, Private, 98926, Some-college, 10, Widowed, Tech-support, Not-in-family, White, Female, 0, 0, 16, United-States, <=50K
+27, Private, 207352, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male, 0, 0, 40, India, >50K
+31, Private, 206609, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+34, Local-gov, 104509, Masters, 14, Separated, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+55, Self-emp-not-inc, 170350, HS-grad, 9, Divorced, Other-service, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+56, Private, 183884, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+36, State-gov, 110964, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1672, 38, United-States, <=50K
+35, State-gov, 154410, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+63, ?, 257659, Masters, 14, Never-married, ?, Not-in-family, White, Female, 0, 0, 3, United-States, <=50K
+28, Private, 274679, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+38, Private, 252662, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+30, Self-emp-inc, 356689, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 60, United-States, <=50K
+18, Private, 205218, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+35, Private, 241306, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K
+53, Private, 139127, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+46, Private, 175625, Prof-school, 15, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+45, Private, 206459, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 176123, 10th, 6, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 60, India, <=50K
+41, Private, 111483, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+60, Self-emp-not-inc, 106118, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 70, United-States, >50K
+18, Private, 77845, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 1602, 15, United-States, <=50K
+19, Private, 162094, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 216469, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 1579, 50, United-States, <=50K
+56, Local-gov, 381965, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 40, United-States, >50K
+28, Private, 145284, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K
+29, Private, 242482, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 32, United-States, <=50K
+35, Self-emp-not-inc, 160192, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+27, ?, 280699, Some-college, 10, Never-married, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+55, Private, 175942, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 55, ?, >50K
+18, Private, 156950, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+53, Private, 215572, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 173593, Masters, 14, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 20, Canada, <=50K
+55, Private, 193374, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K
+45, Local-gov, 334039, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+28, Private, 337664, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 113504, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+27, Private, 177072, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 174503, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+36, Private, 214807, HS-grad, 9, Divorced, Handlers-cleaners, Unmarried, White, Female, 0, 0, 37, United-States, <=50K
+41, Private, 222596, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 45, United-States, >50K
+23, Private, 100345, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+22, Private, 409230, 12th, 8, Never-married, Transport-moving, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+36, Self-emp-not-inc, 112497, Prof-school, 15, Divorced, Prof-specialty, Unmarried, White, Male, 25236, 0, 40, United-States, >50K
+65, Self-emp-inc, 115922, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+59, ?, 375049, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 41, United-States, >50K
+25, Private, 243560, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 40, Columbia, <=50K
+33, Local-gov, 182971, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 1887, 40, United-States, >50K
+31, Private, 127215, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+50, State-gov, 276241, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+49, State-gov, 175109, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+43, Private, 498079, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+23, Federal-gov, 344394, Some-college, 10, Married-civ-spouse, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+34, Private, 99872, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 3103, 0, 40, India, >50K
+23, Private, 245302, Some-college, 10, Divorced, Sales, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+63, Private, 43313, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 188467, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+51, Self-emp-inc, 351278, Bachelors, 13, Divorced, Farming-fishing, Unmarried, White, Male, 0, 0, 50, United-States, <=50K
+31, Private, 182246, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+32, Private, 79870, Some-college, 10, Married-civ-spouse, Exec-managerial, Own-child, White, Female, 2597, 0, 40, Japan, <=50K
+48, ?, 353824, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, ?, >50K
+31, Private, 387116, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 36, Jamaica, <=50K
+47, Private, 34248, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+54, State-gov, 198741, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K
+23, Private, 32950, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 381153, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+46, Private, 100067, 11th, 7, Married-civ-spouse, Other-service, Wife, Black, Female, 0, 0, 35, United-States, >50K
+34, Private, 208785, Assoc-acdm, 12, Divorced, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, >50K
+31, Private, 61559, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+41, Private, 176452, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, Peru, <=50K
+41, ?, 128700, HS-grad, 9, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+27, Self-emp-not-inc, 328518, Assoc-voc, 11, Never-married, Prof-specialty, Other-relative, White, Male, 0, 0, 30, United-States, <=50K
+30, ?, 201196, 11th, 7, Never-married, ?, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+23, Private, 378546, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+24, Local-gov, 212210, Assoc-acdm, 12, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, ?, <=50K
+59, Federal-gov, 178660, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+56, Private, 235826, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 5013, 0, 40, United-States, <=50K
+35, Self-emp-not-inc, 22641, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K
+59, Private, 316027, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 45, Cuba, <=50K
+47, Private, 431515, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+51, Self-emp-not-inc, 149770, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 44, United-States, <=50K
+42, Private, 165916, Bachelors, 13, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 45, United-States, <=50K
+29, Federal-gov, 107411, Some-college, 10, Married-spouse-absent, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+23, Private, 217961, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 45, Outlying-US(Guam-USVI-etc), <=50K
+43, Self-emp-not-inc, 350387, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K
+46, Private, 325372, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 156718, Some-college, 10, Separated, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+23, Private, 216472, Some-college, 10, Never-married, Tech-support, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+29, State-gov, 106972, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+33, Private, 131934, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+33, Local-gov, 365908, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 2105, 0, 40, United-States, <=50K
+46, Local-gov, 359193, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 45, United-States, <=50K
+35, Private, 261012, Some-college, 10, Married-spouse-absent, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+36, Private, 272944, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 40, United-States, >50K
+25, Private, 113654, HS-grad, 9, Separated, Exec-managerial, Unmarried, White, Female, 0, 0, 37, United-States, <=50K
+35, Private, 218955, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 115963, 7th-8th, 4, Never-married, Machine-op-inspct, Unmarried, White, Male, 0, 0, 42, United-States, <=50K
+39, Private, 80638, Some-college, 10, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 84, United-States, >50K
+37, Private, 147258, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K
+22, Private, 214635, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K
+25, Private, 200318, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K
+50, Private, 138270, HS-grad, 9, Married-civ-spouse, Sales, Wife, Black, Female, 0, 0, 40, United-States, <=50K
+64, Federal-gov, 388594, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 45, ?, >50K
+33, Private, 103435, Assoc-voc, 11, Separated, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+59, Self-emp-inc, 133201, 5th-6th, 3, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, Italy, <=50K
+24, Private, 175183, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+41, Private, 99870, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K
+38, ?, 107479, 9th, 5, Never-married, ?, Own-child, White, Female, 0, 0, 12, United-States, <=50K
+60, Private, 113440, Bachelors, 13, Divorced, Exec-managerial, Own-child, White, Male, 0, 0, 60, United-States, <=50K
+19, Private, 85690, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, White, Male, 0, 0, 30, United-States, <=50K
+23, Private, 45713, Some-college, 10, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+57, Self-emp-inc, 376230, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 99999, 0, 40, United-States, >50K
+36, Private, 145576, Masters, 14, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 1977, 40, Japan, >50K
+17, ?, 67808, 10th, 6, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 113936, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 158291, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K
+27, Private, 193898, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K
+43, Private, 191982, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 55, United-States, <=50K
+21, ?, 72953, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+54, Private, 271160, Assoc-voc, 11, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+22, Private, 33087, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 45, United-States, <=50K
+29, Private, 106153, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+22, Private, 29444, 12th, 8, Never-married, Farming-fishing, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 50, United-States, <=50K
+37, Private, 105021, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+38, Self-emp-not-inc, 239045, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+34, Private, 94413, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+45, Private, 20534, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 84, United-States, >50K
+28, Private, 350254, 1st-4th, 2, Never-married, Priv-house-serv, Not-in-family, White, Female, 0, 0, 40, Mexico, <=50K
+68, Private, 194746, Doctorate, 16, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, Cuba, <=50K
+36, Private, 269042, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Laos, <=50K
+20, Private, 447488, 9th, 5, Never-married, Other-service, Unmarried, White, Male, 0, 0, 30, Mexico, <=50K
+24, Private, 267706, Some-college, 10, Never-married, Craft-repair, Own-child, White, Female, 0, 0, 45, United-States, <=50K
+38, Private, 198216, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+32, Private, 227931, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+34, Private, 252646, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 50, United-States, >50K
+47, Private, 223342, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 2174, 0, 40, England, <=50K
+28, Private, 181776, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+32, Private, 132601, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+58, Private, 205410, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+64, Self-emp-inc, 185912, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 35, United-States, >50K
+38, Private, 292570, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 50, United-States, <=50K
+43, Private, 76460, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+28, Private, 295163, 12th, 8, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 27255, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, ?, <=50K
+23, Private, 69847, Bachelors, 13, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Female, 0, 0, 20, United-States, <=50K
+25, Private, 104993, 9th, 5, Never-married, Handlers-cleaners, Own-child, Black, Male, 2907, 0, 40, United-States, <=50K
+41, Private, 322980, HS-grad, 9, Separated, Adm-clerical, Not-in-family, Black, Male, 2354, 0, 40, United-States, <=50K
+24, ?, 390608, HS-grad, 9, Never-married, ?, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K
+41, Private, 317539, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+27, Private, 195678, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+54, Private, 466502, 7th-8th, 4, Widowed, Other-service, Unmarried, White, Male, 0, 0, 30, United-States, <=50K
+28, Local-gov, 220754, HS-grad, 9, Separated, Transport-moving, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+29, Private, 202878, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 2042, 40, United-States, <=50K
+36, Private, 343476, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+41, Self-emp-inc, 93227, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 1977, 60, Taiwan, >50K
+60, Self-emp-not-inc, 38622, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+34, State-gov, 173730, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 38, United-States, <=50K
+32, Private, 178623, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 40, ?, <=50K
+27, Private, 300783, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 42, United-States, >50K
+60, Private, 224644, 10th, 6, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+39, Private, 191502, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+59, Private, 61885, 12th, 8, Divorced, Transport-moving, Other-relative, Black, Male, 0, 0, 35, United-States, <=50K
+34, Self-emp-not-inc, 213887, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 32, Canada, >50K
+36, Private, 331395, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+54, Private, 145098, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+48, Private, 123075, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K
+19, Private, 216804, 7th-8th, 4, Never-married, Other-service, Own-child, White, Male, 0, 0, 33, United-States, <=50K
+40, Private, 188291, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+25, Private, 33610, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+39, Private, 234901, Assoc-acdm, 12, Separated, Adm-clerical, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+34, Self-emp-not-inc, 349148, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 168443, HS-grad, 9, Separated, Other-service, Unmarried, White, Female, 0, 0, 30, United-States, <=50K
+43, Private, 211860, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 24, United-States, <=50K
+35, Private, 193961, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, >50K
+36, Local-gov, 52532, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1887, 50, United-States, >50K
+59, Self-emp-not-inc, 75804, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 65, United-States, >50K
+33, Self-emp-not-inc, 176185, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 306779, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 50, United-States, <=50K
+48, Private, 265192, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+54, Private, 139347, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+49, Private, 107682, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K
+37, Private, 34173, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+45, Private, 128378, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+51, Self-emp-inc, 195638, Some-college, 10, Separated, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+46, Private, 59287, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+31, Self-emp-not-inc, 162442, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K
+29, ?, 350603, 10th, 6, Never-married, ?, Own-child, White, Female, 0, 0, 38, United-States, <=50K
+39, Private, 344743, Some-college, 10, Married-civ-spouse, Adm-clerical, Own-child, Black, Female, 0, 0, 50, United-States, >50K
+35, Private, 112077, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 5013, 0, 40, United-States, <=50K
+26, Private, 176795, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, >50K
+51, Private, 137815, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 7298, 0, 40, United-States, >50K
+31, Private, 309620, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 6, South, <=50K
+39, Private, 336880, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K
+26, Private, 206600, 11th, 7, Never-married, Other-service, Other-relative, White, Male, 0, 0, 30, Mexico, <=50K
+25, Private, 193051, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 35, United-States, <=50K
+61, Federal-gov, 229062, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 1887, 40, United-States, >50K
+49, Private, 62793, HS-grad, 9, Divorced, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+53, Private, 264939, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, Mexico, <=50K
+52, Private, 370552, Preschool, 1, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, El-Salvador, <=50K
+52, Private, 163678, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 55, United-States, <=50K
+74, ?, 89667, Bachelors, 13, Widowed, ?, Not-in-family, Other, Female, 0, 0, 35, United-States, <=50K
+50, Private, 558490, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+29, Private, 124680, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 13550, 0, 35, United-States, >50K
+76, Private, 208843, 7th-8th, 4, Widowed, Protective-serv, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+19, Private, 95078, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+25, Private, 169679, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+45, Private, 101320, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+34, Private, 168906, Assoc-acdm, 12, Divorced, Adm-clerical, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+20, Private, 212582, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 16, United-States, <=50K
+66, ?, 170617, Masters, 14, Widowed, ?, Not-in-family, White, Male, 0, 0, 6, United-States, <=50K
+63, ?, 170529, Bachelors, 13, Married-civ-spouse, ?, Wife, Black, Female, 0, 0, 45, United-States, <=50K
+27, Private, 99897, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K
+41, Private, 104892, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 2829, 0, 40, United-States, <=50K
+43, Private, 175224, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 60, Nicaragua, <=50K
+23, Private, 149704, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+37, Federal-gov, 214542, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+31, Private, 167319, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+33, State-gov, 43716, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 4, United-States, <=50K
+28, Private, 191935, Assoc-acdm, 12, Never-married, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+70, ?, 158642, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 2993, 0, 20, United-States, <=50K
+35, Private, 338611, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+41, Private, 136419, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 75, United-States, >50K
+17, Private, 72321, 11th, 7, Never-married, Other-service, Other-relative, White, Female, 0, 0, 12, United-States, <=50K
+41, Local-gov, 189956, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, Black, Female, 0, 0, 40, United-States, >50K
+44, Private, 403782, Assoc-voc, 11, Divorced, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+47, Private, 456661, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+24, Private, 279041, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+38, Self-emp-not-inc, 65716, Assoc-voc, 11, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+34, Private, 189809, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 52, Jamaica, <=50K
+62, Local-gov, 223637, HS-grad, 9, Divorced, Other-service, Not-in-family, Black, Female, 0, 0, 35, United-States, <=50K
+27, Local-gov, 199343, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 38, United-States, <=50K
+59, Private, 139344, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K
+35, Private, 119098, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 195025, HS-grad, 9, Separated, Other-service, Unmarried, Black, Female, 0, 0, 32, United-States, <=50K
+28, Private, 186720, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 50, United-States, <=50K
+28, Private, 328923, HS-grad, 9, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 38, United-States, <=50K
+59, State-gov, 159472, 9th, 5, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+42, Private, 138662, Some-college, 10, Separated, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+54, Local-gov, 286342, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 32, United-States, >50K
+39, Private, 181705, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K
+41, Private, 193882, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K
+43, Private, 216497, Bachelors, 13, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, Germany, <=50K
+32, Self-emp-inc, 124919, Bachelors, 13, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 50, Iran, >50K
+62, Private, 109463, Some-college, 10, Separated, Sales, Unmarried, White, Female, 0, 1617, 33, United-States, <=50K
+58, Private, 256274, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+43, Private, 326379, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+67, ?, 174995, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 2457, 40, United-States, <=50K
+31, Private, 243142, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+51, Local-gov, 155118, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 70, United-States, >50K
+54, Private, 189607, Bachelors, 13, Never-married, Other-service, Own-child, Black, Female, 0, 0, 36, United-States, <=50K
+20, Private, 39478, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K
+35, Private, 206951, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+22, Private, 127647, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 36, United-States, <=50K
+38, Private, 234298, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 6849, 0, 60, United-States, <=50K
+42, Private, 182302, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+44, State-gov, 166597, Masters, 14, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+28, Self-emp-not-inc, 33363, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 70, United-States, >50K
+74, Self-emp-inc, 167537, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 35, United-States, >50K
+34, Private, 179378, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, Black, Female, 0, 0, 40, United-States, <=50K
+50, State-gov, 297551, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 52, United-States, <=50K
+50, Private, 198362, Assoc-voc, 11, Widowed, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+43, Private, 240504, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+29, Self-emp-not-inc, 169662, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+30, ?, 164940, HS-grad, 9, Separated, ?, Unmarried, Black, Female, 0, 0, 25, United-States, <=50K
+61, Private, 210488, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+21, Private, 154835, Some-college, 10, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, Vietnam, <=50K
+27, Private, 333296, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 30, ?, <=50K
+47, Private, 192793, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, Iran, >50K
+39, Private, 49436, Assoc-acdm, 12, Divorced, Prof-specialty, Unmarried, White, Female, 0, 1380, 40, United-States, <=50K
+33, Private, 136331, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 509048, HS-grad, 9, Never-married, Sales, Other-relative, Black, Female, 0, 0, 37, United-States, <=50K
+38, Private, 318610, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+45, Private, 104521, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+42, Private, 247695, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, >50K
+35, Private, 219546, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 45, Germany, <=50K
+21, Private, 169699, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+49, State-gov, 131302, Assoc-voc, 11, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 0, 44, United-States, <=50K
+50, Private, 171852, Bachelors, 13, Separated, Prof-specialty, Own-child, Other, Female, 0, 0, 40, United-States, <=50K
+36, State-gov, 340091, Doctorate, 16, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 36, United-States, >50K
+20, Private, 204641, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+49, Private, 213431, HS-grad, 9, Separated, Prof-specialty, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+40, State-gov, 377018, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K
+22, Private, 184543, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+60, ?, 188236, HS-grad, 9, Divorced, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+67, Private, 233022, 11th, 7, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 20, United-States, <=50K
+21, Private, 177420, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Other, Female, 0, 0, 40, United-States, <=50K
+60, Self-emp-not-inc, 21101, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, Amer-Indian-Eskimo, Male, 0, 0, 50, United-States, <=50K
+17, Private, 52486, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 12, United-States, <=50K
+43, Private, 183273, Masters, 14, Married-civ-spouse, Exec-managerial, Wife, White, Female, 15024, 0, 32, United-States, >50K
+49, State-gov, 36177, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+41, Private, 124956, Bachelors, 13, Separated, Prof-specialty, Not-in-family, Black, Female, 99999, 0, 60, United-States, >50K
+38, Private, 102350, Some-college, 10, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 165930, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 297574, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 99, United-States, >50K
+40, Private, 120277, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+23, ?, 87569, Some-college, 10, Separated, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+19, ?, 278220, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 1602, 40, United-States, <=50K
+40, Private, 155972, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, >50K
+46, State-gov, 162852, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+25, Private, 64860, Some-college, 10, Married-spouse-absent, Adm-clerical, Unmarried, White, Female, 0, 0, 22, United-States, <=50K
+36, Private, 226013, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 5178, 0, 40, United-States, >50K
+24, Private, 322674, Assoc-acdm, 12, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K
+62, Private, 202242, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, <=50K
+54, Private, 175262, Preschool, 1, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, China, <=50K
+23, Private, 201682, Bachelors, 13, Married-civ-spouse, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+60, Private, 166330, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K
+18, Self-emp-inc, 147612, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Female, 0, 0, 8, United-States, <=50K
+41, Local-gov, 213154, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 40, United-States, <=50K
+45, Local-gov, 33798, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+62, State-gov, 199198, Assoc-voc, 11, Widowed, Exec-managerial, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+28, Private, 90915, Bachelors, 13, Married-spouse-absent, Tech-support, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+36, Self-emp-inc, 337778, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, Yugoslavia, >50K
+31, Private, 187203, HS-grad, 9, Never-married, Sales, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+44, Private, 261497, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, ?, <=50K
+33, Self-emp-not-inc, 361817, HS-grad, 9, Separated, Craft-repair, Unmarried, White, Male, 0, 0, 50, United-States, <=50K
+62, Self-emp-not-inc, 226546, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 16, United-States, <=50K
+27, Private, 100168, 7th-8th, 4, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K
+42, Federal-gov, 272625, Assoc-voc, 11, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, >50K
+55, Private, 254516, 9th, 5, Never-married, Handlers-cleaners, Other-relative, Black, Male, 0, 0, 37, United-States, <=50K
+41, Private, 207375, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+26, Private, 39092, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 4064, 0, 50, United-States, <=50K
+45, Private, 48271, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K
+67, Self-emp-not-inc, 152102, HS-grad, 9, Widowed, Farming-fishing, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K
+25, Private, 234665, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+30, Self-emp-inc, 127651, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1887, 48, United-States, >50K
+22, Private, 180060, Bachelors, 13, Never-married, Exec-managerial, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+19, Private, 32477, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+26, Private, 137658, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+61, Private, 228287, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+32, Private, 159442, Prof-school, 15, Never-married, Sales, Not-in-family, White, Female, 13550, 0, 50, United-States, >50K
+43, Private, 33310, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+53, Private, 270546, HS-grad, 9, Divorced, Priv-house-serv, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+53, Federal-gov, 290290, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+42, Self-emp-inc, 287037, 12th, 8, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 10, United-States, <=50K
+36, Private, 128516, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K
+55, Self-emp-not-inc, 185195, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 99, United-States, <=50K
+35, Federal-gov, 49657, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 40, United-States, >50K
+17, Private, 98005, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 16, United-States, <=50K
+55, Self-emp-not-inc, 283635, Prof-school, 15, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+36, Private, 98360, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+40, Local-gov, 202872, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K
+54, Self-emp-not-inc, 118365, 10th, 6, Divorced, Other-service, Not-in-family, Black, Female, 0, 0, 10, United-States, <=50K
+45, Self-emp-not-inc, 184285, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+48, Private, 345831, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K
+40, Local-gov, 99679, Prof-school, 15, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, United-States, >50K
+31, Private, 253354, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K
+26, Private, 190650, Bachelors, 13, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, Taiwan, <=50K
+34, Private, 287737, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 1485, 40, United-States, >50K
+19, Private, 204389, HS-grad, 9, Never-married, Adm-clerical, Own-child, Other, Female, 0, 0, 25, Puerto-Rico, <=50K
+31, Federal-gov, 294870, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 159442, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+55, Local-gov, 161662, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K
+38, Private, 52738, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 252024, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 20, Mexico, <=50K
+27, Private, 189702, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 407913, HS-grad, 9, Separated, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+20, Private, 166527, Some-college, 10, Never-married, Adm-clerical, Own-child, Other, Female, 0, 0, 20, United-States, <=50K
+24, Self-emp-not-inc, 34918, Assoc-voc, 11, Never-married, Other-service, Unmarried, White, Female, 0, 0, 38, United-States, <=50K
+27, Private, 142712, Masters, 14, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, ?, <=50K
+18, Federal-gov, 201686, 11th, 7, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 4, United-States, <=50K
+28, Local-gov, 179759, Some-college, 10, Married-spouse-absent, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+36, Private, 94954, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+66, Private, 350498, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1258, 20, United-States, <=50K
+19, Private, 201743, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+59, Self-emp-not-inc, 119344, 10th, 6, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 36, United-States, <=50K
+33, Private, 149726, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 46, United-States, <=50K
+28, Private, 419146, 7th-8th, 4, Separated, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K
+34, Private, 174789, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 0, 2001, 40, United-States, <=50K
+41, Private, 171234, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K
+30, Private, 206325, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+59, Private, 202682, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+42, Private, 121055, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K
+47, Private, 160187, HS-grad, 9, Separated, Prof-specialty, Other-relative, Black, Female, 14084, 0, 38, United-States, >50K
+29, Private, 84366, 10th, 6, Married-spouse-absent, Adm-clerical, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K
+60, Private, 139391, Some-college, 10, Married-spouse-absent, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 50, United-States, >50K
+53, Local-gov, 124094, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 5013, 0, 35, United-States, <=50K
+41, Private, 30759, 7th-8th, 4, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K
+32, Private, 137875, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 30, United-States, <=50K
+73, ?, 139049, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 22, United-States, >50K
+20, Private, 238384, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+49, Private, 340755, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+36, Local-gov, 224947, Bachelors, 13, Never-married, Prof-specialty, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+33, State-gov, 111994, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 45, United-States, <=50K
+25, Private, 125491, Some-college, 10, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 34, United-States, <=50K
+34, ?, 310525, HS-grad, 9, Married-civ-spouse, ?, Husband, Black, Male, 0, 0, 10, United-States, <=50K
+19, ?, 71592, Some-college, 10, Never-married, ?, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K
+40, Local-gov, 99185, Assoc-acdm, 12, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K
+48, Private, 249935, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 44, United-States, <=50K
+51, Private, 206775, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 50, United-States, <=50K
+22, Private, 230704, Assoc-acdm, 12, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 20, Jamaica, <=50K
+34, Private, 242361, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 50, United-States, <=50K
+22, Private, 134746, 10th, 6, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, <=50K
+34, Self-emp-inc, 198613, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2002, 40, United-States, <=50K
+56, Private, 174040, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+49, Private, 165953, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 1902, 40, United-States, <=50K
+36, Private, 273604, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+18, Private, 192409, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+26, Self-emp-not-inc, 102476, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 50, United-States, <=50K
+48, Private, 234504, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K
+35, Self-emp-not-inc, 468713, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 84560, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+47, Private, 148995, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+21, Private, 34816, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 12, United-States, <=50K
+28, Private, 211184, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+53, Private, 33304, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K
+65, Federal-gov, 179985, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+26, Private, 219815, Some-college, 10, Married-spouse-absent, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+50, Private, 134766, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 50, United-States, >50K
+26, Private, 106548, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+70, Private, 89787, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 20, United-States, <=50K
+55, Private, 164857, Some-college, 10, Divorced, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+27, Federal-gov, 257124, Bachelors, 13, Never-married, Transport-moving, Other-relative, White, Male, 0, 0, 35, United-States, <=50K
+31, Private, 227446, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, Cuba, >50K
+43, Private, 125461, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1902, 55, United-States, >50K
+24, Private, 189749, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 176321, 7th-8th, 4, Never-married, Other-service, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K
+26, Private, 284250, HS-grad, 9, Never-married, Craft-repair, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+23, Private, 101885, 10th, 6, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+41, Self-emp-not-inc, 134130, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K
+52, Private, 260938, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+41, Self-emp-not-inc, 238184, HS-grad, 9, Married-civ-spouse, Farming-fishing, Wife, White, Female, 0, 0, 40, United-States, <=50K
+59, Self-emp-not-inc, 148626, 10th, 6, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K
+56, Self-emp-not-inc, 48102, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 1977, 50, United-States, >50K
+58, Private, 234213, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 14344, 0, 48, United-States, >50K
+65, Private, 113323, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+24, Local-gov, 34246, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K
+51, Private, 175070, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 5178, 0, 45, United-States, >50K
+31, Private, 279680, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 45, United-States, <=50K
+84, Private, 188328, HS-grad, 9, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 16, United-States, <=50K
+51, Private, 96609, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+24, Local-gov, 84257, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+30, Private, 275632, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, <=50K
+22, Private, 385540, 10th, 6, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K
+30, Private, 196342, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, Ireland, <=50K
+47, Private, 97176, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+19, Private, 197714, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+43, Self-emp-not-inc, 147099, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 36, United-States, <=50K
+30, Private, 186346, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+46, Private, 73434, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+49, Local-gov, 275074, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K
+37, Private, 209214, 5th-6th, 3, Never-married, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K
+42, Private, 210525, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+57, Private, 372020, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 5013, 0, 50, United-States, <=50K
+46, Private, 176684, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+23, Private, 210474, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+26, Private, 293690, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 58, United-States, >50K
+64, Private, 149775, Masters, 14, Never-married, Prof-specialty, Other-relative, White, Female, 0, 0, 8, United-States, <=50K
+20, Private, 323009, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, Germany, <=50K
+31, Private, 126950, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 172538, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 1977, 40, United-States, >50K
+44, Private, 115411, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+42, Self-emp-not-inc, 101709, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 2885, 0, 40, United-States, <=50K
+23, Private, 265356, Bachelors, 13, Never-married, Exec-managerial, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+31, Local-gov, 192565, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 90, United-States, >50K
+35, Self-emp-not-inc, 348771, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 36, United-States, <=50K
+30, Self-emp-not-inc, 148959, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+35, Private, 126569, HS-grad, 9, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+40, Private, 105936, HS-grad, 9, Married-spouse-absent, Adm-clerical, Own-child, White, Female, 0, 0, 38, United-States, <=50K
+18, Private, 188076, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+23, Private, 184400, 10th, 6, Never-married, Transport-moving, Own-child, Asian-Pac-Islander, Male, 0, 0, 30, ?, <=50K
+63, Private, 124242, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+20, State-gov, 200819, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+50, Local-gov, 100480, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K
+49, Private, 129513, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K
+53, Self-emp-not-inc, 297796, 10th, 6, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 195488, HS-grad, 9, Separated, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+54, Private, 153486, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 56, United-States, >50K
+40, Private, 126845, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+22, Private, 206974, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+28, Private, 412149, 10th, 6, Never-married, Farming-fishing, Other-relative, White, Male, 0, 0, 35, Mexico, <=50K
+24, Private, 653574, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, El-Salvador, <=50K
+37, Private, 70562, 1st-4th, 2, Never-married, Other-service, Unmarried, White, Female, 0, 0, 48, El-Salvador, <=50K
+62, Private, 197514, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 16, United-States, <=50K
+19, ?, 309284, Some-college, 10, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+51, Private, 334679, Assoc-voc, 11, Widowed, Prof-specialty, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K
+65, Private, 105116, Some-college, 10, Widowed, Adm-clerical, Not-in-family, White, Female, 2346, 0, 40, United-States, <=50K
+31, Private, 151484, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 8, United-States, <=50K
+42, Self-emp-inc, 78765, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 90, United-States, >50K
+42, Private, 98427, HS-grad, 9, Married-civ-spouse, Other-service, Wife, Black, Female, 0, 0, 35, United-States, <=50K
+54, Private, 230767, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Cuba, <=50K
+23, Private, 117606, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 60, United-States, <=50K
+28, Private, 68642, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 46, United-States, <=50K
+42, Private, 341638, 11th, 7, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 65920, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+33, Federal-gov, 188246, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 198727, HS-grad, 9, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+39, Private, 160728, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Male, 2977, 0, 40, United-States, <=50K
+27, Private, 706026, 11th, 7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+20, ?, 348148, 11th, 7, Never-married, ?, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+62, Private, 77884, 5th-6th, 3, Married-civ-spouse, Farming-fishing, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K
+17, Private, 160758, 10th, 6, Never-married, Sales, Other-relative, White, Male, 0, 0, 30, United-States, <=50K
+58, Private, 201112, Some-college, 10, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 0, 55, United-States, >50K
+69, Self-emp-inc, 107850, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 6514, 0, 40, United-States, >50K
+34, Private, 230246, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 42, United-States, >50K
+34, Private, 203034, Bachelors, 13, Separated, Sales, Not-in-family, White, Male, 0, 2824, 50, United-States, >50K
+20, Private, 373935, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+64, Federal-gov, 341695, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K
+27, Private, 119793, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, ?, <=50K
+41, Private, 178002, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K
+40, Private, 233130, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, El-Salvador, <=50K
+53, Local-gov, 192982, Masters, 14, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 38, United-States, >50K
+44, Private, 33155, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+37, Private, 187346, 5th-6th, 3, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 40, Mexico, <=50K
+46, Private, 78529, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 60, United-States, >50K
+17, Private, 101626, 9th, 5, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+35, Private, 117567, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+36, Local-gov, 110791, Assoc-acdm, 12, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+49, State-gov, 207120, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K
+48, Private, 43206, Prof-school, 15, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 25, United-States, <=50K
+26, Private, 120238, Bachelors, 13, Never-married, Sales, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 189219, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 8, United-States, <=50K
+35, State-gov, 190895, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 83517, 9th, 5, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+54, Private, 35557, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 7298, 0, 50, United-States, >50K
+36, Local-gov, 59313, Some-college, 10, Separated, Adm-clerical, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+25, Private, 202033, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+18, Local-gov, 55658, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 25, United-States, <=50K
+21, Private, 118186, Some-college, 10, Never-married, Sales, Own-child, Black, Female, 0, 0, 20, United-States, <=50K
+22, Private, 279901, HS-grad, 9, Married-civ-spouse, Other-service, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+52, Private, 110954, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, El-Salvador, >50K
+36, Self-emp-not-inc, 90159, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K
+25, Private, 122489, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 1726, 60, United-States, <=50K
+49, Self-emp-not-inc, 43348, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 99999, 0, 70, United-States, >50K
+42, Private, 34278, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+37, Private, 37778, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 54, United-States, <=50K
+39, Private, 160623, Assoc-acdm, 12, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 342458, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+53, Private, 64322, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 373914, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+51, Private, 205884, Some-college, 10, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 40, United-States, >50K
+62, Local-gov, 208266, Assoc-voc, 11, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+38, Private, 222450, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+23, Private, 348420, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+39, Private, 136081, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 2051, 40, United-States, <=50K
+37, Federal-gov, 197284, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+27, ?, 204773, Assoc-acdm, 12, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 40, United-States, <=50K
+41, Private, 206066, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+47, Self-emp-not-inc, 61885, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+25, Private, 299908, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, Black, Female, 0, 0, 40, United-States, >50K
+35, Private, 46028, Assoc-acdm, 12, Divorced, Other-service, Unmarried, White, Female, 0, 0, 50, United-States, <=50K
+47, Private, 239865, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1977, 45, United-States, >50K
+30, Private, 154587, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, Puerto-Rico, <=50K
+29, Private, 244473, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 2051, 40, United-States, <=50K
+36, Private, 32334, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 50, United-States, >50K
+42, Private, 319588, Bachelors, 13, Married-spouse-absent, Transport-moving, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+51, Private, 226735, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+34, Private, 226443, HS-grad, 9, Divorced, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+44, Self-emp-inc, 359259, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 60, Portugal, <=50K
+27, Private, 36851, Bachelors, 13, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 41, United-States, <=50K
+39, Private, 393480, HS-grad, 9, Separated, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+46, Private, 33109, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 1741, 40, United-States, <=50K
+32, Self-emp-not-inc, 188246, HS-grad, 9, Divorced, Sales, Own-child, White, Male, 0, 1590, 62, United-States, <=50K
+31, Private, 231569, Bachelors, 13, Never-married, Sales, Not-in-family, Black, Female, 0, 0, 50, United-States, <=50K
+23, Private, 353010, 11th, 7, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 35, United-States, <=50K
+47, Private, 102628, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 55, United-States, >50K
+66, Private, 262285, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 99, United-States, <=50K
+26, Private, 160300, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+52, Private, 156953, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K
+53, Self-emp-inc, 136823, 11th, 7, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+48, Self-emp-not-inc, 160724, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Japan, <=50K
+37, Self-emp-inc, 86459, Assoc-acdm, 12, Separated, Exec-managerial, Unmarried, White, Male, 0, 0, 50, United-States, <=50K
+17, Private, 238628, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 5, United-States, <=50K
+50, Private, 339954, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+28, ?, 222005, HS-grad, 9, Never-married, ?, Other-relative, White, Female, 0, 0, 40, Mexico, <=50K
+17, Federal-gov, 99893, 11th, 7, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 1602, 40, United-States, <=50K
+39, Private, 214117, Some-college, 10, Divorced, Craft-repair, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K
+28, Federal-gov, 298661, Bachelors, 13, Never-married, Tech-support, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+38, Private, 179488, Assoc-acdm, 12, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+53, Private, 48343, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1902, 40, United-States, >50K
+28, Local-gov, 100270, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+42, Private, 227065, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 32, United-States, >50K
+40, Private, 126701, 9th, 5, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+20, Private, 209131, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+32, State-gov, 400132, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K
+23, State-gov, 278155, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 139012, Bachelors, 13, Never-married, Sales, Own-child, Asian-Pac-Islander, Male, 2174, 0, 40, Vietnam, <=50K
+41, Private, 178431, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Taiwan, <=50K
+42, Private, 511068, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 40, United-States, >50K
+18, Private, 199039, 12th, 8, Never-married, Sales, Own-child, White, Male, 594, 0, 14, United-States, <=50K
+29, Local-gov, 190525, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1848, 60, Germany, >50K
+36, Private, 115700, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K
+34, Private, 167832, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 218164, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 44, United-States, <=50K
+48, State-gov, 171926, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 50, United-States, >50K
+36, Self-emp-inc, 242080, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 80, United-States, >50K
+67, Federal-gov, 223257, HS-grad, 9, Widowed, Other-service, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+53, Private, 386773, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 40, United-States, >50K
+53, Self-emp-not-inc, 105478, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2415, 40, United-States, >50K
+45, Private, 140644, Doctorate, 16, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, >50K
+22, Private, 205970, 10th, 6, Separated, Other-service, Unmarried, White, Female, 0, 0, 35, United-States, <=50K
+25, Private, 216583, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 43, United-States, <=50K
+61, Private, 162432, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+31, Local-gov, 83671, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+47, Self-emp-inc, 205100, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 38, Germany, <=50K
+31, Private, 195750, 1st-4th, 2, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K
+17, Private, 220562, 9th, 5, Never-married, Sales, Other-relative, Other, Female, 0, 0, 32, Mexico, <=50K
+38, Self-emp-inc, 312232, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+23, Private, 386337, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, ?, <=50K
+42, Private, 86185, Some-college, 10, Widowed, Exec-managerial, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K
+78, Private, 105586, 5th-6th, 3, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male, 0, 0, 36, United-States, <=50K
+54, Private, 103345, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+26, Local-gov, 150553, Bachelors, 13, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female, 0, 0, 50, United-States, <=50K
+30, Private, 26009, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, >50K
+46, Private, 149388, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+26, Private, 151626, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Black, Female, 0, 0, 45, United-States, <=50K
+30, Private, 169583, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+66, Local-gov, 174486, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 20051, 0, 35, Jamaica, >50K
+23, Private, 160951, HS-grad, 9, Never-married, Craft-repair, Own-child, Black, Male, 2597, 0, 40, United-States, <=50K
+25, Private, 213383, Some-college, 10, Never-married, Tech-support, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+32, Self-emp-inc, 103078, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+25, Local-gov, 109526, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 38, United-States, <=50K
+51, Private, 142835, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+24, State-gov, 43475, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 190916, Some-college, 10, Never-married, Tech-support, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+28, Private, 175987, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+29, Local-gov, 214385, 11th, 7, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 20, United-States, <=50K
+26, Private, 192652, Bachelors, 13, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+41, Federal-gov, 207685, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+19, Private, 143857, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+39, Private, 163392, HS-grad, 9, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 26, ?, <=50K
+51, Private, 310774, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+29, ?, 427965, HS-grad, 9, Separated, ?, Unmarried, Black, Female, 0, 0, 20, United-States, <=50K
+27, Private, 279608, 5th-6th, 3, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+33, Private, 312881, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 40, United-States, >50K
+19, Private, 175083, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 8, United-States, <=50K
+67, ?, 132057, HS-grad, 9, Married-civ-spouse, ?, Husband, Black, Male, 0, 0, 20, United-States, <=50K
+41, Private, 32878, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K
+29, Federal-gov, 360527, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+28, Private, 99478, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+25, Private, 113035, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+21, Federal-gov, 99199, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 36, United-States, <=50K
+24, Local-gov, 452640, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Male, 14344, 0, 50, United-States, >50K
+48, Private, 236858, 11th, 7, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 31, United-States, <=50K
+46, Self-emp-inc, 201865, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K
+35, Private, 268661, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K
+35, Federal-gov, 475324, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+50, Private, 117295, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 65704, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 40, ?, <=50K
+45, Private, 192835, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+62, Local-gov, 76720, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, <=50K
+39, Local-gov, 180686, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 45, United-States, >50K
+33, Local-gov, 133876, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 123727, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+50, Private, 129956, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, >50K
+25, Private, 96268, 11th, 7, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+44, Private, 317320, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+26, Private, 86872, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K
+31, State-gov, 100863, Masters, 14, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 50, United-States, >50K
+56, Private, 164332, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 15, United-States, <=50K
+49, Self-emp-not-inc, 122584, 7th-8th, 4, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+49, Private, 34377, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+46, Private, 162030, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 43, United-States, <=50K
+33, Private, 199170, Some-college, 10, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+25, Private, 470203, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+40, Private, 266803, Assoc-acdm, 12, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, >50K
+72, ?, 188009, 7th-8th, 4, Divorced, ?, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+32, State-gov, 513416, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 10, United-States, <=50K
+44, Private, 98211, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 55, United-States, <=50K
+48, Private, 196107, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+17, Private, 108273, 10th, 6, Never-married, Sales, Own-child, White, Female, 0, 0, 12, United-States, <=50K
+50, Private, 213290, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1887, 36, United-States, >50K
+61, Private, 96660, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 15024, 0, 34, United-States, >50K
+22, Local-gov, 412316, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+17, Private, 120068, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 17, United-States, <=50K
+49, Self-emp-inc, 101722, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K
+26, Private, 120268, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 50, United-States, <=50K
+19, State-gov, 144429, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 10, United-States, <=50K
+17, Private, 271122, 12th, 8, Never-married, Other-service, Own-child, White, Female, 0, 0, 16, United-States, <=50K
+38, Private, 255621, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+34, Local-gov, 90934, Assoc-voc, 11, Divorced, Protective-serv, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K
+51, Private, 162745, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 50, United-States, >50K
+48, Private, 128460, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 42, United-States, >50K
+63, Private, 30813, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+19, Private, 164585, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+73, Private, 148003, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 20051, 0, 36, United-States, >50K
+51, Private, 215647, HS-grad, 9, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 43, United-States, <=50K
+38, Private, 300975, Masters, 14, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 1485, 40, ?, <=50K
+54, Private, 421561, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+41, Private, 149909, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1848, 40, United-States, >50K
+65, ?, 240857, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 2377, 40, United-States, >50K
+36, Self-emp-not-inc, 138940, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 4386, 0, 50, United-States, >50K
+42, Private, 66755, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, Other, Male, 0, 0, 40, United-States, <=50K
+38, Private, 103323, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 40, United-States, >50K
+20, ?, 117222, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+37, State-gov, 29145, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+35, State-gov, 184659, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1485, 40, United-States, >50K
+51, Self-emp-not-inc, 20795, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 311376, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+27, State-gov, 122660, Bachelors, 13, Never-married, Prof-specialty, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+19, ?, 137578, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 16, United-States, <=50K
+37, Private, 193689, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 42, United-States, >50K
+29, Private, 144556, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, <=50K
+33, Private, 228696, 1st-4th, 2, Married-civ-spouse, Craft-repair, Not-in-family, White, Male, 0, 2603, 32, Mexico, <=50K
+60, Private, 184183, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 4650, 0, 40, United-States, <=50K
+22, Private, 243178, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+22, ?, 236330, Some-college, 10, Never-married, ?, Own-child, Black, Male, 0, 1721, 20, United-States, <=50K
+60, State-gov, 190682, Assoc-voc, 11, Widowed, Other-service, Not-in-family, Black, Female, 0, 0, 37, United-States, <=50K
+35, Private, 233786, 11th, 7, Separated, Other-service, Unmarried, White, Male, 0, 0, 20, United-States, <=50K
+45, Private, 102202, Assoc-voc, 11, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+30, Private, 95299, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Vietnam, >50K
+43, Self-emp-inc, 240504, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 70, United-States, >50K
+32, State-gov, 169973, Masters, 14, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K
+35, Private, 144937, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 42, United-States, <=50K
+32, Private, 211751, Assoc-voc, 11, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+61, Private, 84587, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, >50K
+40, State-gov, 150874, Masters, 14, Divorced, Exec-managerial, Unmarried, White, Female, 1506, 0, 40, United-States, <=50K
+20, ?, 187332, 10th, 6, Never-married, ?, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+42, Self-emp-inc, 188615, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K
+21, Private, 119704, Some-college, 10, Never-married, Sales, Unmarried, White, Female, 0, 0, 35, United-States, <=50K
+21, Private, 275190, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+26, Private, 417941, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+36, State-gov, 196348, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K
+24, Private, 221955, Bachelors, 13, Married-civ-spouse, Sales, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+47, Private, 173938, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 57, United-States, >50K
+51, Private, 123429, Assoc-acdm, 12, Divorced, Tech-support, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+65, ?, 143732, HS-grad, 9, Widowed, ?, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+61, Private, 203126, Bachelors, 13, Divorced, Priv-house-serv, Not-in-family, White, Female, 0, 0, 12, ?, <=50K
+67, Private, 174693, Some-college, 10, Widowed, Sales, Not-in-family, White, Female, 0, 0, 25, Nicaragua, <=50K
+49, Private, 357540, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 25, United-States, <=50K
+63, ?, 29859, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 1485, 40, United-States, >50K
+58, Private, 314092, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1887, 48, United-States, >50K
+61, Private, 280088, 7th-8th, 4, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+36, Private, 257380, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 35, United-States, <=50K
+19, Private, 165306, Some-college, 10, Never-married, Tech-support, Other-relative, Asian-Pac-Islander, Male, 0, 0, 40, Vietnam, <=50K
+29, Self-emp-not-inc, 109001, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K
+43, Private, 266439, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 1887, 40, United-States, >50K
+60, Self-emp-not-inc, 153356, HS-grad, 9, Divorced, Sales, Not-in-family, Black, Male, 2597, 0, 55, United-States, <=50K
+21, Private, 32950, Some-college, 10, Never-married, Sales, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 182163, HS-grad, 9, Separated, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+33, Private, 188246, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 65, United-States, >50K
+36, Private, 297335, Bachelors, 13, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 50, China, <=50K
+37, Private, 108366, Bachelors, 13, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 46, United-States, <=50K
+35, Private, 328301, Assoc-acdm, 12, Married-AF-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K
+17, Private, 182158, 10th, 6, Never-married, Priv-house-serv, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+37, Private, 169426, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, >50K
+22, ?, 330571, HS-grad, 9, Never-married, ?, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+28, Private, 535978, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+42, Private, 29393, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+57, Self-emp-inc, 258883, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 5178, 0, 60, Hungary, >50K
+26, Private, 369166, Some-college, 10, Never-married, Farming-fishing, Other-relative, White, Female, 0, 0, 65, United-States, <=50K
+45, Local-gov, 257855, 11th, 7, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 50, United-States, <=50K
+32, Private, 164197, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 44, United-States, >50K
+63, Private, 109517, Some-college, 10, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 43, United-States, <=50K
+22, Private, 112137, Some-college, 10, Never-married, Prof-specialty, Other-relative, Asian-Pac-Islander, Female, 0, 0, 20, South, <=50K
+36, Private, 160035, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K
+45, State-gov, 50567, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K
+34, Self-emp-not-inc, 140011, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K
+27, State-gov, 271328, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+20, ?, 183083, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+47, Self-emp-not-inc, 159869, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 56, United-States, >50K
+46, Private, 102542, 7th-8th, 4, Never-married, Other-service, Own-child, White, Male, 0, 0, 52, United-States, <=50K
+28, Private, 297742, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+45, Private, 176917, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 165235, Bachelors, 13, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, Thailand, <=50K
+32, Self-emp-not-inc, 52647, 10th, 6, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K
+30, Local-gov, 48542, 12th, 8, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K
+59, Private, 279232, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, Puerto-Rico, <=50K
+58, State-gov, 259929, Doctorate, 16, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 43, United-States, >50K
+45, Private, 221780, Some-college, 10, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+76, Self-emp-not-inc, 253408, Some-college, 10, Widowed, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 298841, HS-grad, 9, Divorced, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+32, Private, 321313, Masters, 14, Never-married, Sales, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+38, Self-emp-not-inc, 64875, HS-grad, 9, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+30, Private, 275232, Assoc-acdm, 12, Never-married, Prof-specialty, Unmarried, Black, Female, 0, 0, 36, United-States, <=50K
+53, Self-emp-inc, 134854, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, Greece, >50K
+41, Private, 67339, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, ?, <=50K
+27, State-gov, 192355, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+44, Local-gov, 208528, Assoc-acdm, 12, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 30, United-States, <=50K
+35, Private, 160120, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 50, United-States, >50K
+36, Private, 250238, 1st-4th, 2, Never-married, Other-service, Other-relative, Other, Female, 0, 0, 40, El-Salvador, <=50K
+51, Private, 25031, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 10, United-States, >50K
+42, Local-gov, 255847, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+40, Self-emp-not-inc, 26892, Bachelors, 13, Married-AF-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 50, United-States, >50K
+45, Private, 111979, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+55, Private, 408537, 9th, 5, Divorced, Craft-repair, Unmarried, White, Female, 99999, 0, 37, United-States, >50K
+36, Private, 231037, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+57, Federal-gov, 30030, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, >50K
+27, Private, 292120, HS-grad, 9, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+62, Private, 138253, Masters, 14, Never-married, Handlers-cleaners, Not-in-family, White, Male, 4650, 0, 40, United-States, <=50K
+29, Private, 190777, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K
+38, Self-emp-not-inc, 41591, Bachelors, 13, Never-married, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 30, United-States, <=50K
+29, Private, 186733, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+18, ?, 78567, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+19, ?, 140590, 12th, 8, Never-married, ?, Own-child, Black, Male, 0, 0, 30, United-States, <=50K
+32, Local-gov, 230912, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 4865, 0, 40, United-States, <=50K
+34, Private, 176185, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 1741, 40, United-States, <=50K
+25, Private, 182227, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K
+34, Local-gov, 205704, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+37, State-gov, 24342, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 38, United-States, <=50K
+37, Private, 138192, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+18, Private, 334676, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 25, United-States, <=50K
+24, Private, 177526, Assoc-voc, 11, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+17, Private, 152696, 12th, 8, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+35, Private, 114765, Bachelors, 13, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+31, Private, 265509, Assoc-voc, 11, Separated, Tech-support, Unmarried, Black, Female, 0, 0, 32, United-States, <=50K
+29, Private, 180758, Assoc-acdm, 12, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+49, Self-emp-not-inc, 127921, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+71, ?, 177906, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 10, United-States, >50K
+35, Federal-gov, 182898, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+55, Self-emp-not-inc, 422249, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+37, Private, 222450, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+33, Local-gov, 190027, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 18, United-States, <=50K
+49, Private, 281647, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K
+32, Private, 117963, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 45, United-States, <=50K
+63, ?, 319121, 11th, 7, Separated, ?, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+39, Private, 225504, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+42, Local-gov, 104334, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, El-Salvador, <=50K
+30, State-gov, 48214, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 50, United-States, >50K
+30, Private, 145714, Assoc-voc, 11, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+48, Self-emp-inc, 38240, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, >50K
+57, Self-emp-not-inc, 27385, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 10, United-States, <=50K
+56, Private, 204254, 10th, 6, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 45, United-States, <=50K
+28, Private, 411587, Some-college, 10, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 40, Honduras, <=50K
+43, Private, 221172, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 24, United-States, >50K
+46, Private, 54190, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K
+60, Private, 93997, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 45, United-States, >50K
+50, Local-gov, 24139, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 65, United-States, <=50K
+37, Private, 112497, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+41, Private, 138907, HS-grad, 9, Divorced, Priv-house-serv, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K
+38, Private, 186325, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 38, United-States, >50K
+23, Private, 199452, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+59, Private, 126677, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+72, Private, 107814, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 2329, 0, 60, United-States, <=50K
+47, Local-gov, 93618, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 33, United-States, <=50K
+29, Private, 353352, Assoc-voc, 11, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 143058, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K
+24, Private, 239663, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 15, United-States, <=50K
+22, Private, 167615, HS-grad, 9, Never-married, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+24, Private, 442274, HS-grad, 9, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+42, Private, 149210, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 45, United-States, >50K
+55, Federal-gov, 174533, Bachelors, 13, Separated, Other-service, Unmarried, White, Female, 0, 0, 72, ?, <=50K
+40, State-gov, 50093, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 20, United-States, <=50K
+61, Private, 270056, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, Japan, <=50K
+58, Self-emp-not-inc, 131991, Bachelors, 13, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 72, United-States, <=50K
+39, State-gov, 126336, HS-grad, 9, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+45, Self-emp-not-inc, 341117, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+25, Private, 108505, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+69, ?, 106566, Doctorate, 16, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 50, United-States, >50K
+36, Private, 74791, Bachelors, 13, Married-civ-spouse, Sales, Wife, White, Male, 0, 0, 60, ?, <=50K
+34, Private, 24266, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 40, United-States, >50K
+45, Private, 267967, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K
+27, ?, 181284, 12th, 8, Married-civ-spouse, ?, Husband, Black, Male, 0, 0, 45, United-States, <=50K
+28, Private, 102533, Some-college, 10, Separated, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+27, Private, 69757, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K
+41, State-gov, 210094, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+18, State-gov, 389147, HS-grad, 9, Never-married, Sales, Not-in-family, Black, Female, 0, 0, 30, United-States, <=50K
+44, Private, 210648, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K
+47, Private, 94809, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 45, United-States, >50K
+36, Local-gov, 298717, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+66, Private, 236879, Preschool, 1, Widowed, Priv-house-serv, Other-relative, White, Female, 0, 0, 40, Guatemala, <=50K
+33, Private, 170148, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 45, United-States, <=50K
+39, Local-gov, 166497, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+30, Private, 247156, HS-grad, 9, Never-married, Transport-moving, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+34, Self-emp-not-inc, 204052, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+62, Self-emp-not-inc, 122246, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 32, United-States, <=50K
+21, Private, 180339, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+50, Self-emp-inc, 155574, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 50, United-States, >50K
+30, Private, 114912, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 3103, 0, 60, United-States, >50K
+43, Private, 193882, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+19, Private, 112269, Some-college, 10, Never-married, Other-service, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+26, Federal-gov, 171928, Assoc-voc, 11, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 50, Japan, <=50K
+50, Private, 95435, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1579, 65, Canada, <=50K
+45, Federal-gov, 179638, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+46, Self-emp-inc, 125892, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+17, Private, 721712, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 15, United-States, <=50K
+56, Private, 197369, 7th-8th, 4, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+25, Private, 353795, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 3103, 0, 40, United-States, >50K
+47, Private, 334679, Masters, 14, Separated, Machine-op-inspct, Unmarried, Asian-Pac-Islander, Female, 0, 0, 42, India, <=50K
+23, Private, 235853, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K
+51, Self-emp-not-inc, 353281, HS-grad, 9, Separated, Other-service, Unmarried, White, Female, 0, 0, 20, United-States, <=50K
+19, Private, 203061, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K
+33, Self-emp-not-inc, 62932, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 118551, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 80, United-States, <=50K
+52, Private, 99184, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 189674, Some-college, 10, Separated, Other-service, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K
+34, Private, 226883, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+26, ?, 109564, HS-grad, 9, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+26, Self-emp-inc, 66872, 12th, 8, Married-civ-spouse, Sales, Husband, Other, Male, 0, 0, 98, Dominican-Republic, <=50K
+35, Local-gov, 268292, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+58, Federal-gov, 139290, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+32, Private, 206541, 11th, 7, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 50, United-States, <=50K
+23, Private, 203139, Some-college, 10, Never-married, Other-service, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+28, Self-emp-not-inc, 294398, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+20, Private, 386864, 10th, 6, Never-married, Other-service, Other-relative, White, Male, 0, 0, 35, Mexico, <=50K
+17, Private, 369909, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+56, Private, 89922, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 3103, 0, 45, United-States, >50K
+26, Private, 176008, HS-grad, 9, Divorced, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+43, State-gov, 241506, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 1506, 0, 36, United-States, <=50K
+45, Self-emp-not-inc, 174426, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+34, Private, 167497, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 7688, 0, 50, United-States, >50K
+54, Private, 292673, 1st-4th, 2, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 35, Mexico, <=50K
+51, Local-gov, 134808, HS-grad, 9, Widowed, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+58, Self-emp-not-inc, 95763, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K
+49, Private, 83622, Assoc-acdm, 12, Separated, Adm-clerical, Not-in-family, White, Female, 2597, 0, 40, United-States, <=50K
+21, Private, 222490, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+44, Private, 29115, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+26, Private, 66638, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+39, Private, 53926, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+19, ?, 43739, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 104359, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+49, Private, 124604, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 32, United-States, <=50K
+45, Private, 114797, HS-grad, 9, Separated, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+60, Federal-gov, 67320, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+28, Federal-gov, 53147, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+23, Private, 13769, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, Amer-Indian-Eskimo, Male, 0, 0, 30, United-States, <=50K
+44, Private, 202872, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+19, State-gov, 149528, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 12, United-States, <=50K
+37, Private, 132879, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+41, Self-emp-not-inc, 112362, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 38, United-States, <=50K
+56, Federal-gov, 156229, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 40, United-States, >50K
+44, Private, 131650, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 54, United-States, >50K
+30, Private, 154568, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 36, Vietnam, >50K
+23, Private, 132300, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+44, Private, 124747, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 3103, 0, 40, United-States, >50K
+38, Private, 276559, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 70, United-States, >50K
+32, Private, 106014, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 5178, 0, 50, United-States, >50K
+57, Self-emp-not-inc, 135134, Masters, 14, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K
+35, Private, 86648, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 50, United-States, >50K
+48, Self-emp-not-inc, 107231, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 50, United-States, >50K
+32, Local-gov, 113838, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 99, United-States, <=50K
+76, Federal-gov, 25319, Masters, 14, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K
+57, Local-gov, 190561, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, Black, Female, 0, 0, 30, United-States, <=50K
+58, ?, 150031, Some-college, 10, Never-married, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+51, Private, 48343, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 50, United-States, >50K
+50, Private, 211116, 10th, 6, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+38, Private, 226311, HS-grad, 9, Married-AF-spouse, Other-service, Wife, White, Female, 0, 0, 25, United-States, <=50K
+53, Private, 283743, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 2002, 40, United-States, <=50K
+59, Self-emp-not-inc, 64102, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 20, United-States, <=50K
+23, Private, 234663, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+44, Private, 247880, Assoc-voc, 11, Divorced, Exec-managerial, Not-in-family, White, Male, 8614, 0, 40, United-States, >50K
+23, Private, 615367, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+23, Private, 163090, Assoc-acdm, 12, Never-married, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+44, Private, 192225, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+30, Private, 370183, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 242482, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+46, Private, 169953, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+34, Local-gov, 144182, Preschool, 1, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 25, United-States, <=50K
+38, Private, 125933, Bachelors, 13, Separated, Exec-managerial, Not-in-family, White, Male, 27828, 0, 45, United-States, >50K
+26, Private, 203777, Some-college, 10, Never-married, Sales, Not-in-family, Black, Female, 0, 0, 37, United-States, <=50K
+39, Private, 210991, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 472580, Some-college, 10, Never-married, Sales, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+33, State-gov, 200289, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 19, India, <=50K
+43, Private, 289669, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 2547, 40, United-States, >50K
+30, Private, 110622, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, China, <=50K
+59, State-gov, 139616, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+26, Private, 39212, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, <=50K
+28, Private, 51961, Some-college, 10, Never-married, Tech-support, Own-child, Black, Male, 0, 0, 24, United-States, <=50K
+48, Self-emp-not-inc, 117849, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+49, Private, 50748, Bachelors, 13, Widowed, Prof-specialty, Unmarried, White, Female, 1506, 0, 35, United-States, <=50K
+41, Self-emp-not-inc, 170214, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 2179, 40, United-States, <=50K
+20, Private, 151790, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+49, Private, 168211, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K
+37, State-gov, 117651, Bachelors, 13, Never-married, Prof-specialty, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+18, Private, 157131, 12th, 8, Never-married, Sales, Own-child, White, Female, 0, 0, 8, United-States, <=50K
+61, Private, 225970, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K
+26, Private, 177951, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 48, United-States, <=50K
+66, Private, 134130, Bachelors, 13, Widowed, Other-service, Not-in-family, White, Male, 0, 0, 12, United-States, <=50K
+68, Private, 191581, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 3273, 0, 40, United-States, <=50K
+27, Local-gov, 199172, HS-grad, 9, Married-civ-spouse, Protective-serv, Wife, White, Female, 0, 0, 40, United-States, <=50K
+66, Self-emp-not-inc, 262552, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 7, United-States, <=50K
+28, Private, 66434, 10th, 6, Never-married, Other-service, Unmarried, White, Female, 0, 0, 15, United-States, <=50K
+26, Private, 77661, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+25, ?, 230856, HS-grad, 9, Never-married, ?, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+46, Private, 192835, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 48, United-States, <=50K
+62, ?, 181014, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 200445, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 1974, 40, United-States, <=50K
+26, Self-emp-not-inc, 37918, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 60, United-States, <=50K
+40, Private, 111020, HS-grad, 9, Separated, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+31, Private, 244665, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, Honduras, <=50K
+52, Private, 312477, HS-grad, 9, Widowed, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+61, Self-emp-not-inc, 243493, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 12, United-States, <=50K
+39, State-gov, 152023, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 104193, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 114, 0, 40, United-States, <=50K
+47, Private, 170850, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 48, United-States, <=50K
+33, Private, 137088, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male, 0, 0, 40, Ecuador, <=50K
+17, Private, 340557, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 25, United-States, <=50K
+26, Private, 298225, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, <=50K
+25, Private, 114150, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+39, Self-emp-not-inc, 194668, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 16, United-States, <=50K
+33, Private, 188246, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 45, United-States, >50K
+46, Federal-gov, 330901, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+27, Private, 80165, Some-college, 10, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 20, United-States, <=50K
+48, Private, 83444, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 40, United-States, >50K
+29, Self-emp-not-inc, 85572, 11th, 7, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 5, United-States, <=50K
+40, Private, 116632, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 139989, Bachelors, 13, Never-married, Sales, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+55, Private, 135803, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Other, Male, 0, 1579, 35, India, <=50K
+56, Private, 75785, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+25, Private, 248612, Assoc-acdm, 12, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+36, Private, 28572, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+26, Self-emp-not-inc, 31143, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K
+37, Private, 216924, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 44, United-States, >50K
+36, Private, 549174, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+23, Self-emp-not-inc, 111296, 11th, 7, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 50, Mexico, <=50K
+25, Private, 208881, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K
+36, State-gov, 243666, HS-grad, 9, Divorced, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+37, Self-emp-not-inc, 327164, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 70, ?, <=50K
+39, Self-emp-inc, 131288, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 5178, 0, 48, United-States, >50K
+35, Private, 257416, Assoc-voc, 11, Never-married, Craft-repair, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+33, Private, 215288, 11th, 7, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+31, Private, 58582, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 46, United-States, <=50K
+49, Private, 199378, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 22, United-States, <=50K
+34, Self-emp-not-inc, 114185, Bachelors, 13, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 50, ?, <=50K
+40, Private, 137421, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male, 0, 0, 60, Trinadad&Tobago, <=50K
+27, Private, 216481, Some-college, 10, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+50, Self-emp-not-inc, 196504, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 23, United-States, <=50K
+38, Private, 357870, 12th, 8, Never-married, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 50, United-States, <=50K
+55, State-gov, 256335, Bachelors, 13, Divorced, Exec-managerial, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K
+49, Self-emp-not-inc, 168191, 7th-8th, 4, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 70, Italy, <=50K
+40, Private, 215596, Bachelors, 13, Married-spouse-absent, Other-service, Not-in-family, Other, Male, 0, 0, 40, Mexico, <=50K
+42, Private, 184682, Assoc-voc, 11, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+51, Private, 171914, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+27, Private, 288229, Bachelors, 13, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female, 0, 0, 50, Laos, <=50K
+30, State-gov, 144064, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K
+70, ?, 54849, Doctorate, 16, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 20, United-States, >50K
+40, Private, 141583, 10th, 6, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+43, Self-emp-not-inc, 180985, Bachelors, 13, Separated, Craft-repair, Unmarried, White, Male, 0, 0, 35, United-States, <=50K
+24, Private, 148709, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+22, ?, 174626, 7th-8th, 4, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 184801, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K
+52, Private, 89054, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 147284, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+33, Private, 169973, Assoc-voc, 11, Separated, Protective-serv, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+21, Private, 222993, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 41099, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+31, Private, 33117, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+29, Private, 162551, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female, 0, 0, 40, Hong, >50K
+49, Private, 122066, 5th-6th, 3, Married-civ-spouse, Other-service, Husband, White, Male, 0, 2603, 40, Greece, <=50K
+61, ?, 42938, Bachelors, 13, Never-married, ?, Not-in-family, White, Male, 0, 0, 7, United-States, >50K
+46, Private, 389843, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, Germany, >50K
+37, Private, 138940, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+56, Federal-gov, 141877, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+37, Private, 172722, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+26, Self-emp-not-inc, 118523, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 227886, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K
+36, Private, 80743, HS-grad, 9, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female, 0, 0, 40, South, <=50K
+52, Private, 199688, 10th, 6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 45, United-States, <=50K
+40, Private, 225823, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+21, Private, 176486, HS-grad, 9, Married-spouse-absent, Exec-managerial, Other-relative, White, Female, 0, 0, 60, United-States, <=50K
+63, Private, 175777, 10th, 6, Separated, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+30, Private, 295010, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+30, Private, 437825, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 20, Peru, <=50K
+50, Private, 270194, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K
+41, Private, 242089, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K
+39, Self-emp-inc, 117555, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K
+23, Private, 146499, HS-grad, 9, Separated, Machine-op-inspct, Unmarried, White, Female, 0, 0, 48, United-States, <=50K
+52, Private, 222405, HS-grad, 9, Married-civ-spouse, Sales, Husband, Black, Male, 0, 2377, 40, United-States, <=50K
+17, ?, 216595, 11th, 7, Never-married, ?, Own-child, Black, Female, 0, 0, 20, United-States, <=50K
+46, Private, 157991, Assoc-voc, 11, Divorced, Tech-support, Unmarried, Black, Female, 0, 625, 40, United-States, <=50K
+26, Private, 373553, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 42, United-States, <=50K
+30, Private, 194827, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1740, 40, United-States, <=50K
+23, Private, 60331, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+21, State-gov, 96483, Some-college, 10, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female, 0, 0, 12, United-States, <=50K
+39, Private, 211154, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 55, United-States, <=50K
+37, Local-gov, 247750, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+40, Self-emp-not-inc, 204235, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 50, United-States, >50K
+38, Private, 197113, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 20, United-States, <=50K
+47, Private, 178341, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 4064, 0, 60, United-States, <=50K
+20, Private, 293297, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+35, Private, 35330, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+62, State-gov, 202056, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 14084, 0, 40, United-States, >50K
+32, Private, 61898, 11th, 7, Divorced, Other-service, Unmarried, White, Female, 0, 0, 15, United-States, <=50K
+42, Self-emp-inc, 1097453, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K
+32, Private, 176992, 10th, 6, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 295289, Some-college, 10, Never-married, Other-service, Own-child, Black, Female, 0, 0, 30, United-States, <=50K
+53, Self-emp-inc, 298215, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K
+28, Self-emp-not-inc, 209934, 5th-6th, 3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 25, Mexico, <=50K
+26, Private, 164938, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+47, Private, 423222, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+23, Private, 124259, Some-college, 10, Never-married, Protective-serv, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+70, Self-emp-inc, 232871, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 30, United-States, <=50K
+41, State-gov, 73199, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K
+43, State-gov, 27661, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+65, Private, 461715, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 25, ?, <=50K
+40, Self-emp-not-inc, 89413, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1672, 40, United-States, <=50K
+64, Self-emp-not-inc, 31826, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+40, Private, 279679, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+43, Private, 221172, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+50, Federal-gov, 222020, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 48, United-States, <=50K
+19, ?, 181265, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+32, Self-emp-not-inc, 261056, Bachelors, 13, Never-married, Prof-specialty, Own-child, Black, Female, 2174, 0, 60, ?, <=50K
+32, Private, 204792, 11th, 7, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K
+42, Private, 384508, 11th, 7, Divorced, Sales, Unmarried, White, Male, 1506, 0, 50, Mexico, <=50K
+41, Private, 288568, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+30, Private, 182714, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, England, <=50K
+20, Private, 471452, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+45, State-gov, 264052, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+42, Private, 146659, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 50, United-States, >50K
+24, Private, 203027, Assoc-acdm, 12, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+43, Private, 218309, Bachelors, 13, Divorced, Sales, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+28, Private, 133625, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+35, Private, 45937, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+36, ?, 389850, HS-grad, 9, Married-spouse-absent, ?, Unmarried, Black, Male, 0, 0, 50, United-States, <=50K
+38, Federal-gov, 201617, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+32, Local-gov, 114733, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 35, United-States, <=50K
+50, State-gov, 97778, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 149507, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, >50K
+35, Private, 82622, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 48014, Masters, 14, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, France, <=50K
+61, State-gov, 162678, 5th-6th, 3, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 213842, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 38, United-States, <=50K
+61, Private, 221447, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+18, Private, 426836, 5th-6th, 3, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K
+31, Local-gov, 206609, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K
+31, Private, 50276, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+20, Private, 180497, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+35, Private, 220585, 12th, 8, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+51, Private, 202752, HS-grad, 9, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+43, Private, 75993, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 40, United-States, >50K
+18, Private, 170544, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+55, Private, 115439, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 40, United-States, >50K
+59, Private, 24384, HS-grad, 9, Widowed, Priv-house-serv, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+21, Private, 209067, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+22, Private, 65225, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+60, Federal-gov, 27466, Some-college, 10, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, England, <=50K
+49, Federal-gov, 179869, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+21, Private, 442131, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+61, Private, 243283, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+64, Private, 316627, 5th-6th, 3, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+63, Private, 208862, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+27, Federal-gov, 38645, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+23, Private, 141272, Bachelors, 13, Never-married, Other-service, Own-child, Black, Female, 0, 0, 30, United-States, <=50K
+41, State-gov, 29324, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 45, United-States, <=50K
+18, ?, 348588, 12th, 8, Never-married, ?, Own-child, Black, Male, 0, 0, 25, United-States, <=50K
+40, Private, 124747, HS-grad, 9, Married-civ-spouse, Craft-repair, Wife, White, Female, 7298, 0, 40, United-States, >50K
+55, Self-emp-not-inc, 477867, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+17, Private, 218361, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 1602, 12, United-States, <=50K
+34, Self-emp-not-inc, 156809, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 1504, 60, United-States, <=50K
+24, Private, 267945, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+30, Private, 35724, Prof-school, 15, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 45, United-States, >50K
+29, Private, 187188, Masters, 14, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 60, United-States, <=50K
+52, Private, 155983, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+57, Federal-gov, 414994, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+38, Private, 103474, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+43, Private, 211128, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, >50K
+61, Private, 203445, Some-college, 10, Widowed, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+38, Private, 38312, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 65, United-States, >50K
+51, Private, 178241, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, >50K
+40, Private, 260761, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+41, Local-gov, 36924, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+19, Private, 292590, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+28, Private, 461929, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+59, Private, 189664, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+32, State-gov, 190577, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+31, Private, 344200, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+30, Private, 337494, Assoc-acdm, 12, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K
+54, Self-emp-not-inc, 52634, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 194901, Assoc-voc, 11, Separated, Craft-repair, Not-in-family, White, Male, 0, 2444, 42, United-States, >50K
+20, Private, 170091, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 10, United-States, <=50K
+27, ?, 189399, Some-college, 10, Divorced, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+32, Self-emp-not-inc, 205072, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 48, United-States, <=50K
+35, Private, 310290, HS-grad, 9, Married-civ-spouse, Transport-moving, Wife, Black, Female, 0, 0, 40, United-States, <=50K
+27, Private, 134048, 11th, 7, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+40, Private, 91959, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 46, United-States, >50K
+34, Private, 153942, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+34, Local-gov, 234096, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+38, Private, 185330, Some-college, 10, Never-married, Craft-repair, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+28, Private, 163772, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Other, Male, 0, 0, 40, United-States, <=50K
+65, Private, 83800, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 27, United-States, <=50K
+61, Private, 139391, Some-college, 10, Never-married, Tech-support, Own-child, White, Male, 0, 0, 16, United-States, <=50K
+18, Private, 478380, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+35, Self-emp-inc, 186845, Bachelors, 13, Married-civ-spouse, Sales, Own-child, White, Male, 5178, 0, 50, United-States, >50K
+45, Private, 262802, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+68, ?, 152157, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+25, Private, 114483, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K
+48, Private, 118023, Prof-school, 15, Divorced, Sales, Not-in-family, White, Male, 0, 0, 13, United-States, <=50K
+19, Private, 220101, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+43, Private, 219424, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, Black, Female, 0, 0, 50, United-States, >50K
+54, Private, 186117, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K
+47, Self-emp-not-inc, 479611, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+25, Private, 80312, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, White, Female, 4865, 0, 40, United-States, <=50K
+30, Private, 108386, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+67, ?, 125926, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 8, United-States, <=50K
+35, Private, 177102, HS-grad, 9, Divorced, Handlers-cleaners, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+26, Private, 190762, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 18, United-States, <=50K
+61, Private, 180632, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+54, Private, 88019, HS-grad, 9, Divorced, Other-service, Unmarried, White, Male, 0, 0, 32, United-States, <=50K
+50, Private, 135339, 12th, 8, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Cambodia, >50K
+32, Private, 100662, 9th, 5, Separated, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, Columbia, <=50K
+34, Private, 183557, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K
+36, Private, 160035, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+50, Private, 306790, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+28, Private, 269246, 11th, 7, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 308334, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 19, United-States, <=50K
+58, Private, 215190, 11th, 7, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 20, United-States, <=50K
+27, Private, 419146, 5th-6th, 3, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 75, Mexico, <=50K
+62, Private, 176839, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 38, United-States, <=50K
+36, Self-emp-inc, 184456, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 27828, 0, 55, United-States, >50K
+21, Local-gov, 309348, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 594, 0, 4, United-States, <=50K
+41, Private, 56795, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 45, England, <=50K
+28, Private, 201861, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, <=50K
+33, Private, 179509, Bachelors, 13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+54, Private, 291755, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+19, Private, 243941, Some-college, 10, Never-married, Sales, Own-child, Amer-Indian-Eskimo, Female, 0, 1721, 25, United-States, <=50K
+76, Self-emp-not-inc, 117169, 7th-8th, 4, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+25, ?, 100903, Bachelors, 13, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 25, United-States, <=50K
+34, Private, 159322, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+40, Private, 262872, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+22, Private, 187052, 11th, 7, Never-married, Sales, Unmarried, White, Female, 0, 0, 30, United-States, <=50K
+17, Private, 277583, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 15, United-States, <=50K
+55, Private, 169071, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+51, Local-gov, 96190, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K
+26, Private, 61603, 5th-6th, 3, Married-civ-spouse, Handlers-cleaners, Husband, Other, Male, 0, 0, 40, Mexico, <=50K
+44, Private, 43711, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K
+65, ?, 197883, 10th, 6, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 70, United-States, <=50K
+54, Private, 99434, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+34, Self-emp-not-inc, 177639, Assoc-acdm, 12, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+42, Private, 201723, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 222248, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K
+39, Private, 86143, 5th-6th, 3, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K
+46, ?, 228620, 11th, 7, Widowed, ?, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+34, Private, 346034, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, El-Salvador, <=50K
+59, Private, 87510, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 37932, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 50, United-States, <=50K
+34, Private, 185063, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, >50K
+62, ?, 125493, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 5178, 0, 40, Scotland, >50K
+51, Private, 159755, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 20, United-States, <=50K
+34, Private, 108837, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K
+47, Private, 110669, Bachelors, 13, Separated, Prof-specialty, Unmarried, White, Female, 0, 0, 50, United-States, <=50K
+21, ?, 220115, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+30, Self-emp-not-inc, 45427, Assoc-voc, 11, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 49, United-States, <=50K
+38, Private, 154669, HS-grad, 9, Separated, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+45, Private, 261278, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female, 5178, 0, 40, Philippines, >50K
+23, Private, 71864, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+34, Private, 173495, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, >50K
+22, Private, 254293, 12th, 8, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 111883, HS-grad, 9, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+50, Private, 146429, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+19, Private, 472807, 1st-4th, 2, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 52, Mexico, <=50K
+28, Private, 285294, Bachelors, 13, Married-civ-spouse, Sales, Wife, Black, Female, 15024, 0, 45, United-States, >50K
+23, Private, 184665, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+35, Private, 205852, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 83879, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+27, Private, 178564, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+46, Self-emp-inc, 168796, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K
+27, Private, 269444, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 47353, 10th, 6, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K
+34, Self-emp-inc, 29254, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 70, United-States, <=50K
+33, Private, 155343, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 234271, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+30, Private, 257849, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, <=50K
+23, Private, 228230, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 47, United-States, <=50K
+36, Private, 227615, 5th-6th, 3, Married-spouse-absent, Craft-repair, Other-relative, White, Male, 0, 0, 32, Mexico, <=50K
+29, Private, 406826, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+50, Self-emp-not-inc, 27539, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 7688, 0, 40, United-States, >50K
+19, Private, 97261, 12th, 8, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+20, ?, 232022, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+52, Federal-gov, 168539, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K
+20, Private, 515797, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 351381, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+34, Private, 161018, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K
+60, Private, 26721, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+19, Private, 164123, 11th, 7, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+59, Self-emp-not-inc, 98418, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 20, United-States, <=50K
+36, Private, 29814, HS-grad, 9, Never-married, Transport-moving, Other-relative, White, Male, 0, 0, 50, United-States, <=50K
+25, Private, 254613, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, Cuba, <=50K
+49, Private, 207677, 7th-8th, 4, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K
+25, Self-emp-not-inc, 217030, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 30, United-States, <=50K
+50, Private, 171199, 11th, 7, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+44, Private, 198270, Assoc-acdm, 12, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 43, United-States, <=50K
+28, ?, 131310, HS-grad, 9, Separated, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+33, Private, 79923, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 20, United-States, <=50K
+40, Self-emp-inc, 475322, Bachelors, 13, Separated, Craft-repair, Own-child, White, Male, 0, 0, 50, United-States, <=50K
+56, Private, 134286, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K
+56, Self-emp-not-inc, 73746, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+23, Private, 125525, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 42, United-States, <=50K
+38, ?, 155676, HS-grad, 9, Divorced, ?, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+21, Private, 304949, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 10, United-States, <=50K
+67, Private, 150516, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 24, United-States, <=50K
+54, State-gov, 249096, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K
+50, Local-gov, 164127, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+59, Private, 304779, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+51, Private, 157043, 11th, 7, Widowed, Handlers-cleaners, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+30, Private, 396538, HS-grad, 9, Separated, Exec-managerial, Unmarried, White, Female, 0, 0, 29, United-States, <=50K
+42, Private, 510072, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+64, ?, 200017, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+61, ?, 60641, Bachelors, 13, Never-married, ?, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+26, Private, 89326, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+47, Private, 200471, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 4064, 0, 40, United-States, <=50K
+78, Self-emp-not-inc, 82815, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 3, United-States, >50K
+24, Self-emp-not-inc, 117210, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+27, Private, 202206, 11th, 7, Separated, Farming-fishing, Other-relative, White, Male, 0, 0, 40, Puerto-Rico, <=50K
+51, Private, 123429, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+46, Private, 353512, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K
+55, Self-emp-not-inc, 26683, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K
+20, Private, 204641, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 225053, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K
+36, ?, 98776, Some-college, 10, Never-married, ?, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+19, Private, 263932, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+30, Private, 108247, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+31, Self-emp-not-inc, 369648, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, >50K
+26, Private, 339324, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 96, United-States, <=50K
+59, ?, 145574, Assoc-acdm, 12, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 35, United-States, >50K
+53, Private, 317313, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, >50K
+24, Local-gov, 162919, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+24, Private, 186314, Some-college, 10, Separated, Prof-specialty, Own-child, White, Male, 0, 0, 54, United-States, <=50K
+36, Private, 254202, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 50, United-States, <=50K
+39, Private, 108140, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+53, Private, 287317, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, Black, Male, 0, 0, 32, United-States, <=50K
+75, Self-emp-inc, 81534, HS-grad, 9, Widowed, Sales, Other-relative, Asian-Pac-Islander, Male, 0, 0, 35, United-States, >50K
+36, Private, 35945, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+46, Self-emp-inc, 204928, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+56, Self-emp-inc, 208809, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 1902, 40, United-States, >50K
+29, Private, 133625, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+60, Private, 71683, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 49, United-States, <=50K
+58, Private, 570562, HS-grad, 9, Widowed, Sales, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K
+67, Self-emp-not-inc, 36876, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 55, United-States, <=50K
+35, Private, 253006, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 38, United-States, >50K
+39, Self-emp-not-inc, 50096, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 80, United-States, <=50K
+37, Private, 336880, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K
+54, ?, 135840, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 50, United-States, <=50K
+63, Self-emp-not-inc, 168048, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 30, United-States, <=50K
+47, Private, 187969, 11th, 7, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K
+23, Private, 117363, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+55, Private, 256526, HS-grad, 9, Separated, Machine-op-inspct, Not-in-family, White, Male, 4865, 0, 45, United-States, <=50K
+49, Private, 304416, 11th, 7, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, <=50K
+39, Private, 248011, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 5178, 0, 40, United-States, >50K
+23, Private, 229826, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+19, Private, 159796, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 12, United-States, <=50K
+44, Private, 165346, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+25, Private, 25386, Assoc-voc, 11, Never-married, Other-service, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K
+35, Private, 491000, Assoc-voc, 11, Divorced, Prof-specialty, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+23, Local-gov, 247731, HS-grad, 9, Divorced, Adm-clerical, Own-child, White, Female, 0, 0, 40, Cuba, <=50K
+48, Private, 180532, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+48, Private, 189462, Some-college, 10, Divorced, Handlers-cleaners, Own-child, White, Male, 2176, 0, 40, United-States, <=50K
+44, Private, 419134, HS-grad, 9, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+55, Self-emp-not-inc, 170166, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 25, United-States, <=50K
+33, Self-emp-not-inc, 173495, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+18, Private, 423024, 12th, 8, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+24, Private, 72119, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Male, 2202, 0, 30, United-States, <=50K
+32, Local-gov, 19302, Assoc-acdm, 12, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 56, England, >50K
+24, State-gov, 257621, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+44, Self-emp-inc, 118212, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 70, United-States, >50K
+27, Private, 259840, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, <=50K
+39, Private, 115289, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, France, >50K
+26, Local-gov, 159662, 10th, 6, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 379798, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+38, Private, 227945, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 65, United-States, >50K
+41, State-gov, 36999, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 75, United-States, >50K
+73, ?, 131982, Bachelors, 13, Married-civ-spouse, ?, Husband, Asian-Pac-Islander, Male, 0, 0, 5, Vietnam, <=50K
+32, Self-emp-inc, 124052, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K
+56, Local-gov, 273084, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, United-States, >50K
+59, Private, 170104, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 50, United-States, >50K
+44, Private, 96249, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K
+35, Private, 140915, Bachelors, 13, Never-married, Sales, Own-child, Asian-Pac-Islander, Male, 0, 1590, 40, South, <=50K
+52, Private, 230657, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male, 3781, 0, 40, Columbia, <=50K
+30, Private, 195576, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 3325, 0, 50, United-States, <=50K
+23, Private, 117767, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+43, Private, 112763, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 8614, 0, 43, United-States, >50K
+61, Private, 79827, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K
+38, Private, 103925, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 35, United-States, <=50K
+68, Private, 161744, 10th, 6, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 16, United-States, <=50K
+41, Private, 106679, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 27828, 0, 50, United-States, >50K
+42, Self-emp-not-inc, 196514, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+48, ?, 61985, 9th, 5, Separated, ?, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 20, United-States, <=50K
+19, Private, 157605, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+31, Private, 137367, 11th, 7, Married-spouse-absent, Handlers-cleaners, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, India, <=50K
+40, Self-emp-inc, 110862, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 2377, 50, United-States, <=50K
+32, Private, 74883, Bachelors, 13, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K
+51, Self-emp-inc, 98642, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 14084, 0, 40, United-States, >50K
+44, Local-gov, 144778, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+23, Private, 177787, Bachelors, 13, Never-married, Sales, Own-child, White, Female, 0, 0, 30, England, <=50K
+30, ?, 103651, 11th, 7, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 35, United-States, <=50K
+44, Private, 162108, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+24, Private, 217602, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K
+34, Private, 473133, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K
+17, Private, 113301, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 12, ?, <=50K
+61, Private, 80896, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 45, India, >50K
+30, Local-gov, 168387, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+45, Private, 38950, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 107801, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+49, Private, 191277, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+39, Private, 205359, Assoc-acdm, 12, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 45, United-States, <=50K
+39, ?, 240226, HS-grad, 9, Married-civ-spouse, ?, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+34, Private, 203357, Some-college, 10, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+52, Local-gov, 153064, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+24, Private, 202959, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+38, Private, 105150, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K
+19, Private, 238474, 11th, 7, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 1085515, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+25, Private, 82560, Assoc-acdm, 12, Never-married, Other-service, Own-child, White, Male, 0, 0, 43, United-States, <=50K
+71, Private, 55965, 7th-8th, 4, Widowed, Transport-moving, Not-in-family, White, Male, 0, 0, 10, United-States, <=50K
+27, Private, 161087, HS-grad, 9, Married-civ-spouse, Prof-specialty, Wife, Black, Female, 0, 0, 40, United-States, <=50K
+28, Private, 261278, Assoc-voc, 11, Never-married, Tech-support, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+54, Private, 182187, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, Black, Male, 15024, 0, 38, Jamaica, >50K
+18, Private, 138917, 11th, 7, Never-married, Sales, Own-child, Black, Female, 0, 0, 10, United-States, <=50K
+49, Private, 200198, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+36, Private, 205359, HS-grad, 9, Married-spouse-absent, Other-service, Unmarried, White, Female, 0, 0, 25, United-States, <=50K
+57, Private, 250201, HS-grad, 9, Widowed, Transport-moving, Unmarried, White, Male, 0, 0, 50, United-States, <=50K
+56, Federal-gov, 67153, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, Portugal, >50K
+17, Private, 244523, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+30, Private, 236599, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K
+41, Private, 108713, 10th, 6, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+26, Private, 177147, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+61, Private, 129246, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, <=50K
+50, ?, 222381, Some-college, 10, Divorced, ?, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 145111, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+44, Private, 62258, 11th, 7, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+38, State-gov, 108293, Masters, 14, Never-married, Prof-specialty, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+61, ?, 167284, 7th-8th, 4, Widowed, ?, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+25, Private, 97789, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 50, United-States, <=50K
+34, Private, 111415, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 70, United-States, <=50K
+38, Private, 374524, Some-college, 10, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+42, Private, 287244, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K
+17, ?, 341395, 10th, 6, Never-married, ?, Own-child, Black, Male, 0, 0, 20, United-States, <=50K
+48, Private, 278039, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 98360, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+52, Private, 317032, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K
+55, State-gov, 294395, Assoc-voc, 11, Widowed, Prof-specialty, Unmarried, White, Female, 6849, 0, 40, United-States, <=50K
+41, Self-emp-not-inc, 240900, HS-grad, 9, Divorced, Farming-fishing, Other-relative, White, Male, 0, 0, 20, United-States, <=50K
+45, Private, 32896, 5th-6th, 3, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+49, Private, 97411, 7th-8th, 4, Never-married, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 45, Laos, <=50K
+19, Private, 72355, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K
+39, Private, 342448, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, <=50K
+43, Private, 187702, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 2174, 0, 45, United-States, <=50K
+42, Private, 303388, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 65, United-States, <=50K
+17, Private, 112291, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 12, United-States, <=50K
+30, Private, 208668, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, Black, Female, 0, 0, 25, United-States, <=50K
+61, Local-gov, 28375, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 70, United-States, <=50K
+48, Private, 207277, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 40, United-States, >50K
+60, ?, 88675, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+57, Private, 47857, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K
+27, Private, 372500, 5th-6th, 3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 45, Mexico, <=50K
+24, Private, 190968, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 48, United-States, <=50K
+41, Private, 37997, 12th, 8, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 84, United-States, >50K
+42, Private, 257328, HS-grad, 9, Widowed, Transport-moving, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 127610, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+22, ?, 139324, 9th, 5, Never-married, ?, Unmarried, Black, Female, 0, 0, 36, United-States, <=50K
+47, Private, 164423, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 43, United-States, <=50K
+50, Private, 104501, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 1980, 40, United-States, <=50K
+30, Private, 56121, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 296212, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+31, Private, 157640, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K
+44, Private, 222504, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 45, United-States, >50K
+34, Private, 261023, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1651, 38, United-States, <=50K
+52, Private, 146567, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, Black, Male, 14344, 0, 40, United-States, >50K
+34, Private, 116910, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+31, Private, 132601, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+68, Private, 185537, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+22, Private, 500720, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, Mexico, <=50K
+42, Private, 182108, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+37, Private, 231491, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K
+36, Self-emp-not-inc, 239415, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 35, United-States, <=50K
+38, Private, 179262, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 30, United-States, <=50K
+72, Without-pay, 121004, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 55, United-States, <=50K
+40, Private, 252392, 5th-6th, 3, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+19, Private, 163578, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+55, Private, 143266, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, Hungary, >50K
+30, Private, 285902, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+52, Private, 113094, Bachelors, 13, Separated, Adm-clerical, Unmarried, White, Female, 0, 1092, 40, United-States, <=50K
+29, Private, 278637, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 3103, 0, 45, United-States, >50K
+41, Private, 174540, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 4, United-States, <=50K
+29, Private, 188729, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+24, Private, 72143, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+46, Self-emp-not-inc, 328216, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K
+44, Private, 165815, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K
+17, Private, 317702, 10th, 6, Never-married, Sales, Own-child, Black, Female, 0, 0, 15, United-States, <=50K
+35, Private, 215323, Assoc-voc, 11, Divorced, Other-service, Unmarried, White, Female, 0, 0, 35, United-States, <=50K
+38, Private, 192939, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 156352, 9th, 5, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 155066, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 60, United-States, <=50K
+38, Self-emp-not-inc, 152621, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 99, United-States, <=50K
+19, Private, 298891, 11th, 7, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, Honduras, <=50K
+30, Private, 193298, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K
+36, Local-gov, 150309, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K
+27, Private, 384308, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+27, Private, 305647, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+66, ?, 182378, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 30, United-States, <=50K
+65, Federal-gov, 23494, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 2174, 40, United-States, >50K
+37, Private, 421633, Masters, 14, Never-married, Exec-managerial, Not-in-family, Black, Female, 0, 0, 40, United-States, >50K
+17, Private, 57723, 11th, 7, Never-married, Sales, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+19, ?, 307837, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+57, Private, 103540, 5th-6th, 3, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 50, United-States, <=50K
+54, Self-emp-not-inc, 136224, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+21, Private, 231573, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+43, Private, 242804, HS-grad, 9, Separated, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+50, Private, 163671, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 287701, 11th, 7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 48, United-States, >50K
+31, Private, 187560, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 40, United-States, >50K
+41, Private, 222504, Prof-school, 15, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 38, United-States, <=50K
+20, Private, 41356, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+28, Private, 59335, Bachelors, 13, Married-civ-spouse, Adm-clerical, Other-relative, White, Female, 0, 0, 15, United-States, <=50K
+62, Private, 84756, 9th, 5, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 35, United-States, <=50K
+41, Private, 407425, 12th, 8, Divorced, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+37, Private, 162424, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+53, Self-emp-not-inc, 175456, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 30, United-States, <=50K
+28, Private, 52603, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+23, Private, 250630, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+46, Self-emp-not-inc, 233974, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 35, United-States, <=50K
+28, Private, 376302, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+50, Private, 195638, 10th, 6, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+19, Private, 225775, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 45, Mexico, <=50K
+84, Private, 388384, 7th-8th, 4, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 10, United-States, <=50K
+48, Self-emp-not-inc, 219021, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, >50K
+61, Self-emp-not-inc, 168654, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 20, United-States, <=50K
+44, Private, 180609, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K
+32, Private, 114746, HS-grad, 9, Separated, Handlers-cleaners, Unmarried, Asian-Pac-Islander, Female, 0, 0, 60, South, <=50K
+25, Private, 178037, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+47, State-gov, 160045, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+19, Private, 268524, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+37, Private, 174844, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 17, United-States, <=50K
+28, Private, 82488, HS-grad, 9, Divorced, Tech-support, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K
+34, Private, 221167, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K
+32, Self-emp-not-inc, 48014, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+24, Private, 217226, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+22, ?, 177902, Some-college, 10, Never-married, ?, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 25, United-States, <=50K
+30, Private, 39386, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 99, United-States, <=50K
+56, Private, 37394, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 115426, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+28, Private, 114158, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 26, United-States, <=50K
+40, Private, 119101, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1887, 68, United-States, >50K
+28, Private, 360527, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+39, Private, 225544, 12th, 8, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+33, Self-emp-not-inc, 108438, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+23, Private, 230315, Some-college, 10, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, Dominican-Republic, <=50K
+32, Private, 158002, Some-college, 10, Never-married, Machine-op-inspct, Other-relative, White, Male, 0, 0, 55, Ecuador, <=50K
+37, Private, 179468, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+71, Private, 99894, 5th-6th, 3, Widowed, Priv-house-serv, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 75, United-States, <=50K
+30, Private, 270889, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+20, Private, 42279, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+53, Federal-gov, 167380, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1740, 50, United-States, <=50K
+42, Private, 274913, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 45, United-States, <=50K
+44, Private, 35910, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 56, United-States, >50K
+26, Private, 68001, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+21, Private, 27162, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 16, United-States, <=50K
+37, Self-emp-not-inc, 286146, HS-grad, 9, Married-spouse-absent, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+36, Local-gov, 95462, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+25, Private, 50103, HS-grad, 9, Never-married, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+54, Private, 511668, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 43, United-States, >50K
+38, Self-emp-inc, 189679, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+29, Private, 115064, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+20, State-gov, 215443, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 38, United-States, <=50K
+32, Private, 174789, HS-grad, 9, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 50, United-States, <=50K
+24, Private, 91999, Assoc-acdm, 12, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K
+59, Federal-gov, 100931, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+56, Self-emp-not-inc, 119069, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+40, Self-emp-not-inc, 277488, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 84, United-States, <=50K
+35, Private, 265662, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+38, Private, 114591, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 15024, 0, 40, United-States, >50K
+24, Private, 227594, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+30, Private, 129707, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 1848, 40, United-States, >50K
+61, ?, 175032, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 133569, 1st-4th, 2, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K
+20, Local-gov, 308654, Some-college, 10, Never-married, Protective-serv, Own-child, Asian-Pac-Islander, Female, 0, 0, 20, United-States, <=50K
+36, Private, 156084, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+45, Federal-gov, 380127, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+22, Private, 210781, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+31, Private, 189759, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 2001, 40, United-States, <=50K
+34, Private, 258675, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 223367, 11th, 7, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+42, ?, 204817, 9th, 5, Never-married, ?, Own-child, Black, Male, 0, 0, 35, United-States, <=50K
+23, Private, 409230, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K
+46, Federal-gov, 308077, Prof-school, 15, Separated, Prof-specialty, Unmarried, White, Female, 0, 0, 40, Germany, >50K
+60, Private, 159049, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 70, Germany, >50K
+40, Private, 353142, Some-college, 10, Divorced, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+55, Private, 143030, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+47, Private, 304857, Masters, 14, Separated, Tech-support, Not-in-family, White, Male, 27828, 0, 40, United-States, >50K
+28, Private, 30912, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 43, United-States, <=50K
+55, Private, 125000, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K
+47, Private, 181363, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+54, Private, 338620, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 52, United-States, >50K
+32, Private, 115989, 11th, 7, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 60, United-States, <=50K
+38, Private, 111128, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+61, Self-emp-not-inc, 201273, Some-college, 10, Widowed, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+62, Self-emp-inc, 137354, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, South, <=50K
+29, Private, 133420, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 5013, 0, 40, United-States, <=50K
+26, Private, 192208, HS-grad, 9, Never-married, Protective-serv, Not-in-family, Black, Female, 0, 0, 32, United-States, <=50K
+19, Private, 220001, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 50, United-States, <=50K
+40, Private, 352612, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 169426, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 7298, 0, 40, United-States, >50K
+42, Private, 319016, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 2885, 0, 45, United-States, <=50K
+55, Private, 119751, Masters, 14, Never-married, Prof-specialty, Other-relative, Asian-Pac-Islander, Female, 0, 0, 40, Thailand, <=50K
+55, Private, 202220, HS-grad, 9, Married-civ-spouse, Other-service, Wife, Black, Female, 2407, 0, 35, United-States, <=50K
+43, Self-emp-not-inc, 99220, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+39, Private, 111275, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+38, Federal-gov, 261241, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, >50K
+28, Private, 261725, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K
+36, Private, 182013, Some-college, 10, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+49, Private, 40666, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K
+41, Private, 216461, Some-college, 10, Divorced, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+60, Private, 320376, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, United-States, <=50K
+35, Private, 282951, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 70, United-States, <=50K
+36, State-gov, 166697, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+51, Private, 290856, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+23, Private, 455361, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, Guatemala, <=50K
+51, Private, 82783, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+17, Private, 56536, 11th, 7, Never-married, Sales, Own-child, White, Female, 1055, 0, 18, India, <=50K
+33, Self-emp-not-inc, 109959, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 25, United-States, <=50K
+50, Private, 177927, HS-grad, 9, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 192337, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+18, Private, 236272, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+26, Private, 33610, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 209483, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 47, United-States, <=50K
+26, Private, 247006, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 52, United-States, <=50K
+30, Local-gov, 311913, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K
+39, ?, 204756, Some-college, 10, Divorced, ?, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+33, Local-gov, 300681, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+42, State-gov, 24264, Some-college, 10, Divorced, Transport-moving, Unmarried, White, Male, 0, 0, 38, United-States, <=50K
+28, Private, 266070, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+20, Private, 226978, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+66, Local-gov, 362165, Bachelors, 13, Widowed, Prof-specialty, Not-in-family, Black, Female, 0, 2206, 25, United-States, <=50K
+31, Private, 341672, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 50, India, <=50K
+36, Private, 179488, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Male, 0, 0, 40, Canada, <=50K
+39, Federal-gov, 243872, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+52, Private, 259583, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+61, Private, 159822, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 40, Poland, >50K
+27, Private, 219863, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+45, Private, 206947, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+21, Private, 245572, 9th, 5, Never-married, Other-service, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K
+25, Private, 38488, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+24, Private, 182504, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+38, Private, 193815, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, Italy, <=50K
+51, ?, 521665, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 24, United-States, <=50K
+29, Private, 46442, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1902, 50, United-States, >50K
+45, Private, 60267, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 38, United-States, <=50K
+59, Private, 264357, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K
+41, Private, 191814, HS-grad, 9, Married-civ-spouse, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 107882, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+43, Private, 174575, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+17, Private, 143331, 11th, 7, Never-married, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+32, Private, 126132, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K
+42, Private, 198619, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+68, Private, 211287, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2392, 40, United-States, >50K
+55, Federal-gov, 238192, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 1887, 40, United-States, >50K
+43, Private, 257780, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+61, Private, 183355, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+28, Private, 148429, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+47, Private, 71221, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 60, United-States, <=50K
+21, Self-emp-not-inc, 236769, 7th-8th, 4, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+39, Private, 32146, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+39, Private, 347491, 11th, 7, Divorced, Craft-repair, Not-in-family, White, Male, 0, 1876, 46, United-States, <=50K
+34, Private, 180714, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 2179, 40, United-States, <=50K
+57, ?, 188877, 9th, 5, Divorced, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 306747, Bachelors, 13, Divorced, Handlers-cleaners, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+21, State-gov, 478457, Some-college, 10, Never-married, Other-service, Own-child, Black, Female, 0, 0, 12, United-States, <=50K
+25, Private, 248990, 5th-6th, 3, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K
+51, Self-emp-inc, 46281, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+35, Private, 148015, Bachelors, 13, Never-married, Sales, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+19, Private, 278115, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 12, United-States, <=50K
+27, Private, 190525, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 55, United-States, >50K
+34, Private, 176673, Some-college, 10, Never-married, Sales, Other-relative, Black, Female, 0, 0, 35, United-States, <=50K
+33, ?, 202366, HS-grad, 9, Divorced, ?, Unmarried, White, Female, 0, 0, 32, United-States, <=50K
+36, Private, 238415, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+33, Self-emp-not-inc, 37939, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K
+60, Self-emp-not-inc, 35649, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+42, Private, 383493, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K
+47, Federal-gov, 204900, HS-grad, 9, Married-civ-spouse, Prof-specialty, Wife, Black, Female, 0, 0, 40, United-States, <=50K
+42, Private, 20809, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 75, United-States, >50K
+34, Private, 148207, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 65, United-States, >50K
+21, Private, 200153, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 32, United-States, <=50K
+30, Private, 169496, Masters, 14, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 15, United-States, >50K
+53, Private, 22978, Masters, 14, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 50, United-States, >50K
+34, Private, 366898, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Germany, <=50K
+37, Private, 324947, Bachelors, 13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 321577, HS-grad, 9, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+31, Private, 241360, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 207564, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K
+33, Private, 220860, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+41, Local-gov, 336571, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+23, State-gov, 56402, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 30, United-States, <=50K
+65, Private, 180280, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K
+30, Private, 81282, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+51, Private, 86332, Assoc-voc, 11, Married-civ-spouse, Other-service, Husband, White, Male, 4064, 0, 55, United-States, <=50K
+30, Local-gov, 27051, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+49, Private, 287647, Masters, 14, Divorced, Sales, Not-in-family, White, Male, 4787, 0, 45, United-States, >50K
+37, Self-emp-not-inc, 183735, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 3137, 0, 30, United-States, <=50K
+42, Private, 100800, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+62, Private, 155094, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 45, United-States, >50K
+67, ?, 102693, HS-grad, 9, Widowed, ?, Not-in-family, White, Male, 1086, 0, 35, United-States, <=50K
+31, Private, 151053, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 5178, 0, 40, United-States, >50K
+50, Private, 548361, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 20, United-States, >50K
+33, Private, 173858, Bachelors, 13, Married-civ-spouse, Adm-clerical, Other-relative, Asian-Pac-Islander, Male, 0, 0, 40, India, <=50K
+27, Private, 347153, Some-college, 10, Never-married, Transport-moving, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 319146, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 4386, 0, 40, Mexico, >50K
+35, Private, 197719, Some-college, 10, Never-married, Machine-op-inspct, Other-relative, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K
+55, Private, 197114, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 6, United-States, >50K
+54, Self-emp-not-inc, 109418, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 1977, 35, United-States, >50K
+56, Private, 182062, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 48, United-States, >50K
+21, Private, 184543, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+66, Private, 175558, 7th-8th, 4, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 20, Germany, <=50K
+46, Private, 122026, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+23, Private, 340543, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K
+43, Private, 101950, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+40, Private, 179508, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 55, United-States, <=50K
+52, Private, 225317, 5th-6th, 3, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+59, Local-gov, 53304, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+36, Local-gov, 282602, Assoc-voc, 11, Separated, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+33, Private, 184016, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 250165, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 196467, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+59, ?, 220783, 10th, 6, Widowed, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+42, Self-emp-not-inc, 178780, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+62, Private, 65868, HS-grad, 9, Widowed, Sales, Not-in-family, White, Female, 0, 0, 43, United-States, <=50K
+54, Private, 35459, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 98986, 7th-8th, 4, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+36, Private, 282092, Assoc-acdm, 12, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+21, Private, 140764, HS-grad, 9, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 45, United-States, <=50K
+30, Private, 33124, HS-grad, 9, Separated, Farming-fishing, Unmarried, White, Female, 0, 0, 14, United-States, <=50K
+46, Private, 90042, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+32, Private, 102986, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Wife, Asian-Pac-Islander, Female, 0, 0, 40, Laos, >50K
+21, Private, 214387, Some-college, 10, Never-married, Sales, Other-relative, White, Male, 0, 0, 64, United-States, <=50K
+39, Private, 180667, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+54, Private, 278329, HS-grad, 9, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female, 0, 0, 43, United-States, <=50K
+32, Private, 184440, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 3464, 0, 40, United-States, <=50K
+23, Private, 140462, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+42, Private, 202565, 1st-4th, 2, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Italy, <=50K
+62, ?, 181063, 10th, 6, Widowed, ?, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+28, Private, 287268, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+28, Private, 215955, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 82552, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K
+19, Private, 41745, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+27, Private, 73587, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 35, United-States, <=50K
+54, Private, 263925, 1st-4th, 2, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K
+19, Private, 196119, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+27, Private, 284741, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+30, Private, 293936, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 50, ?, <=50K
+35, Private, 340428, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+66, ?, 175891, 9th, 5, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+19, Local-gov, 276973, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+30, Private, 161599, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K
+32, Private, 144064, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 236391, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+26, Private, 224943, Assoc-voc, 11, Never-married, Sales, Other-relative, Black, Male, 0, 0, 65, United-States, <=50K
+44, Private, 151294, Some-college, 10, Widowed, Sales, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K
+52, Private, 68982, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+30, Private, 241885, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K
+32, Self-emp-not-inc, 189461, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K
+19, Self-emp-not-inc, 36012, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 85355, HS-grad, 9, Separated, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+20, Private, 157595, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+61, Private, 197286, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 362747, Some-college, 10, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 35, United-States, <=50K
+24, Private, 395297, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+31, Self-emp-not-inc, 144949, Bachelors, 13, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+20, ?, 163665, HS-grad, 9, Never-married, ?, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+32, Private, 141490, Assoc-voc, 11, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 50, United-States, <=50K
+29, Private, 147889, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 40, United-States, <=50K
+61, Private, 232808, 10th, 6, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 24, United-States, <=50K
+48, Private, 70668, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 50, United-States, <=50K
+29, Federal-gov, 33315, Assoc-acdm, 12, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+61, ?, 63526, 12th, 8, Never-married, ?, Not-in-family, Black, Male, 0, 0, 52, United-States, <=50K
+34, Private, 591711, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 48, ?, <=50K
+22, Private, 200318, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K
+32, Private, 97723, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1672, 40, United-States, <=50K
+38, Private, 109231, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 102889, Some-college, 10, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+26, Private, 167106, HS-grad, 9, Never-married, Craft-repair, Other-relative, Asian-Pac-Islander, Male, 0, 0, 40, Hong, <=50K
+35, Private, 182898, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 8614, 0, 40, United-States, >50K
+62, Private, 197918, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+28, Private, 67386, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+50, Private, 126592, HS-grad, 9, Separated, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+34, Private, 49469, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 99999, 0, 50, United-States, >50K
+37, Self-emp-not-inc, 119929, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+63, Private, 158199, 1st-4th, 2, Widowed, Machine-op-inspct, Unmarried, White, Female, 0, 0, 44, Portugal, <=50K
+35, Private, 341102, 9th, 5, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+55, Private, 101524, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+40, Private, 202872, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, >50K
+25, Private, 195201, HS-grad, 9, Married-civ-spouse, Sales, Husband, Other, Male, 0, 0, 50, United-States, <=50K
+51, Private, 128272, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 263094, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 40, United-States, >50K
+54, Self-emp-inc, 357596, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 55, United-States, >50K
+47, Local-gov, 102628, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, >50K
+26, Private, 171114, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+46, Private, 216414, Assoc-voc, 11, Married-spouse-absent, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 127753, 12th, 8, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+19, Private, 282698, 7th-8th, 4, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 80, United-States, <=50K
+35, Private, 139364, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 1902, 40, United-States, >50K
+36, Local-gov, 312785, Bachelors, 13, Never-married, Prof-specialty, Own-child, Black, Male, 0, 0, 35, United-States, <=50K
+18, Private, 92864, 12th, 8, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+46, Local-gov, 175428, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+30, Private, 104223, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 32, United-States, <=50K
+29, Private, 144784, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+65, Private, 178934, HS-grad, 9, Widowed, Other-service, Unmarried, Black, Female, 0, 0, 20, Jamaica, <=50K
+41, Private, 211253, Masters, 14, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K
+34, Private, 133122, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+58, Private, 103540, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+39, State-gov, 172700, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+21, Private, 282484, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+31, Private, 323055, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K
+33, State-gov, 291494, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+28, Private, 214702, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K
+32, Private, 116055, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Black, Female, 2977, 0, 35, United-States, <=50K
+32, Private, 226696, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 55, United-States, >50K
+31, Private, 216827, HS-grad, 9, Separated, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+41, Self-emp-not-inc, 153132, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 40, United-States, >50K
+48, Private, 307440, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male, 0, 0, 45, Philippines, >50K
+27, Private, 278122, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+45, Private, 122195, HS-grad, 9, Widowed, Craft-repair, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+34, Self-emp-not-inc, 156890, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K
+17, Private, 36877, 10th, 6, Never-married, Sales, Own-child, White, Female, 0, 0, 10, United-States, <=50K
+25, Private, 131178, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 23, United-States, <=50K
+34, Self-emp-inc, 62396, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 62, United-States, >50K
+33, Private, 73054, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+21, Private, 96844, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+22, Private, 324922, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+61, Private, 130684, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 42, United-States, <=50K
+40, Private, 178983, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 30, United-States, >50K
+58, Private, 81038, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 12, United-States, <=50K
+30, Private, 151967, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 58, United-States, <=50K
+24, Private, 278107, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 60, United-States, <=50K
+52, Self-emp-not-inc, 183146, 12th, 8, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+50, Private, 183638, HS-grad, 9, Widowed, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+49, Private, 247892, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 30, United-States, <=50K
+22, Private, 221480, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+32, Private, 118551, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 35, ?, >50K
+21, Private, 518530, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+25, Private, 193787, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 50, United-States, <=50K
+34, Self-emp-inc, 157466, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, <=50K
+48, Private, 141511, 10th, 6, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+61, ?, 158712, HS-grad, 9, Divorced, ?, Not-in-family, White, Female, 0, 0, 99, United-States, <=50K
+21, Private, 252253, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+20, Private, 200450, 7th-8th, 4, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 52, United-States, <=50K
+30, State-gov, 343789, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+44, Private, 277647, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 1902, 40, United-States, >50K
+44, Private, 291566, HS-grad, 9, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 60, United-States, <=50K
+29, Private, 151382, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K
+31, Private, 221167, Prof-school, 15, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+35, Private, 196178, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 302422, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 37379, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+37, Self-emp-not-inc, 82540, 9th, 5, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 70, United-States, >50K
+33, Self-emp-not-inc, 182926, Bachelors, 13, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, ?, <=50K
+44, Private, 159911, 7th-8th, 4, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 55, United-States, <=50K
+34, Private, 212781, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+28, Local-gov, 207213, Assoc-acdm, 12, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 5, United-States, <=50K
+30, Private, 200192, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 45, United-States, <=50K
+41, Local-gov, 180096, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, <=50K
+23, Private, 192812, Bachelors, 13, Never-married, Tech-support, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+19, Private, 105908, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 70, United-States, <=50K
+48, Private, 373366, 1st-4th, 2, Married-civ-spouse, Farming-fishing, Husband, White, Male, 3781, 0, 50, Mexico, <=50K
+26, State-gov, 234190, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K
+32, Private, 260868, Bachelors, 13, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 40, United-States, >50K
+26, Private, 109097, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 48, United-States, <=50K
+36, Private, 171393, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 55, United-States, >50K
+49, Private, 209146, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+33, ?, 289046, HS-grad, 9, Divorced, ?, Not-in-family, Black, Male, 0, 1741, 40, United-States, <=50K
+54, Private, 172281, Masters, 14, Divorced, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+36, Private, 73023, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K
+41, Private, 122626, HS-grad, 9, Divorced, Handlers-cleaners, Unmarried, White, Male, 0, 0, 48, United-States, <=50K
+27, Private, 113635, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+68, ?, 257269, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 2377, 35, United-States, >50K
+21, ?, 191806, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 75, United-States, <=50K
+56, ?, 35723, HS-grad, 9, Divorced, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+40, Self-emp-not-inc, 30759, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K
+46, Private, 105327, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+55, ?, 376058, 9th, 5, Never-married, ?, Own-child, White, Female, 0, 0, 45, United-States, <=50K
+43, Private, 219307, 9th, 5, Divorced, Transport-moving, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+46, Private, 208067, HS-grad, 9, Divorced, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+51, Self-emp-not-inc, 78631, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male, 0, 0, 60, United-States, <=50K
+19, Private, 210308, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+67, Local-gov, 190661, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Female, 7896, 0, 50, United-States, >50K
+31, Private, 594187, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 228476, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+21, Private, 126613, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+36, Private, 30267, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K
+23, Private, 216811, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 16, United-States, <=50K
+62, Local-gov, 115763, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K
+31, Local-gov, 199368, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 50, United-States, >50K
+52, Private, 159755, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 40, United-States, >50K
+39, Self-emp-not-inc, 188335, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 417668, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+55, ?, 141807, HS-grad, 9, Never-married, ?, Not-in-family, White, Male, 13550, 0, 40, United-States, >50K
+38, Private, 296317, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+36, Private, 164898, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+17, Private, 452406, 11th, 7, Never-married, Sales, Own-child, Black, Female, 0, 0, 15, United-States, <=50K
+27, Private, 42696, HS-grad, 9, Married-spouse-absent, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+30, Private, 262994, Some-college, 10, Divorced, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+43, State-gov, 167298, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+51, Private, 103529, 11th, 7, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K
+47, Private, 97883, Bachelors, 13, Widowed, Priv-house-serv, Unmarried, White, Female, 25236, 0, 35, United-States, >50K
+49, State-gov, 269417, Doctorate, 16, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 2258, 50, United-States, >50K
+34, Private, 199539, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, >50K
+19, ?, 39460, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 60, United-States, <=50K
+79, Federal-gov, 62176, Doctorate, 16, Widowed, Exec-managerial, Not-in-family, White, Male, 0, 0, 6, United-States, >50K
+28, State-gov, 239130, Some-college, 10, Divorced, Other-service, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+41, Self-emp-inc, 151089, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K
+21, Private, 331611, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 50, United-States, <=50K
+31, Self-emp-not-inc, 203463, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+45, Private, 151518, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K
+23, Self-emp-inc, 39844, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+32, Private, 299635, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, Germany, <=50K
+67, Private, 123393, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 209538, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K
+35, Self-emp-not-inc, 238802, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K
+29, Private, 499197, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 200220, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 114059, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K
+18, Private, 434430, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+47, Private, 185385, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 5013, 0, 24, United-States, <=50K
+22, Private, 225156, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+21, Private, 377931, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2377, 48, United-States, <=50K
+27, ?, 133359, Bachelors, 13, Married-spouse-absent, ?, Not-in-family, White, Male, 0, 0, 50, ?, <=50K
+28, Private, 226891, Some-college, 10, Never-married, Adm-clerical, Unmarried, Asian-Pac-Islander, Female, 0, 0, 30, ?, <=50K
+32, Private, 201988, Prof-school, 15, Married-civ-spouse, Sales, Husband, White, Male, 4508, 0, 40, ?, <=50K
+40, Private, 287008, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 55, Germany, >50K
+23, Private, 151910, Bachelors, 13, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 1719, 40, United-States, <=50K
+25, Private, 231714, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+44, Self-emp-inc, 178510, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 2258, 60, United-States, <=50K
+43, Private, 178866, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 25, United-States, >50K
+31, Private, 110643, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 55, United-States, >50K
+33, Private, 148261, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+41, Private, 217902, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+29, Self-emp-not-inc, 77207, Masters, 14, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 30, United-States, <=50K
+32, ?, 377017, Assoc-acdm, 12, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+78, Private, 184759, 7th-8th, 4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 1797, 0, 15, United-States, <=50K
+64, Self-emp-inc, 80333, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+58, Private, 265086, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+55, ?, 102058, 12th, 8, Widowed, ?, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+20, Private, 333843, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+35, Private, 296478, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+27, Local-gov, 116662, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+37, Self-emp-not-inc, 353298, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 99999, 0, 50, United-States, >50K
+42, Private, 142424, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+47, Local-gov, 200808, 12th, 8, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 35, Puerto-Rico, <=50K
+29, Private, 119052, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+33, Private, 168981, 1st-4th, 2, Never-married, Sales, Own-child, White, Female, 0, 0, 24, United-States, <=50K
+44, Private, 151780, Some-college, 10, Widowed, Exec-managerial, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+70, Private, 237065, 5th-6th, 3, Widowed, Other-service, Other-relative, White, Female, 2346, 0, 40, ?, <=50K
+25, Private, 509866, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 78, United-States, <=50K
+24, State-gov, 249385, Bachelors, 13, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 10, United-States, <=50K
+42, State-gov, 109462, Bachelors, 13, Divorced, Adm-clerical, Unmarried, Black, Female, 2977, 0, 40, United-States, <=50K
+53, Private, 250034, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 50, United-States, >50K
+39, Private, 249720, Bachelors, 13, Divorced, Exec-managerial, Unmarried, Black, Female, 0, 0, 60, United-States, <=50K
+72, Self-emp-not-inc, 258761, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K
+43, Self-emp-inc, 64048, 9th, 5, Never-married, Sales, Own-child, White, Female, 0, 0, 44, Portugal, <=50K
+25, State-gov, 153534, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 193815, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K
+27, Private, 255582, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+39, Private, 204527, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+64, Self-emp-not-inc, 159938, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 2635, 0, 24, Italy, <=50K
+29, Self-emp-not-inc, 229341, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, >50K
+50, Private, 128143, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+33, Private, 175479, 5th-6th, 3, Never-married, Other-service, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K
+18, Private, 301814, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+20, Private, 238917, 11th, 7, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 32, Mexico, <=50K
+32, Private, 205581, Some-college, 10, Separated, Tech-support, Unmarried, White, Female, 0, 0, 50, United-States, <=50K
+45, Private, 340341, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+48, Private, 147860, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Wife, Black, Female, 0, 0, 40, United-States, <=50K
+20, ?, 121023, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+23, Private, 259496, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+34, Federal-gov, 190228, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 1902, 48, United-States, >50K
+43, Private, 180599, Bachelors, 13, Separated, Exec-managerial, Unmarried, White, Male, 8614, 0, 40, United-States, >50K
+44, Private, 116358, Bachelors, 13, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, >50K
+47, Self-emp-not-inc, 180446, Some-college, 10, Married-civ-spouse, Tech-support, Husband, Black, Male, 0, 0, 40, United-States, >50K
+47, Private, 264244, HS-grad, 9, Married-spouse-absent, Craft-repair, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+46, Local-gov, 197988, 1st-4th, 2, Never-married, Other-service, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 20, United-States, <=50K
+19, Private, 206599, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+51, Private, 313146, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+41, Self-emp-inc, 99212, HS-grad, 9, Separated, Exec-managerial, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 340599, 11th, 7, Separated, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+31, Private, 62932, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 44861, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+46, Private, 53893, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K
+53, Self-emp-inc, 152810, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 5178, 0, 45, United-States, >50K
+47, Local-gov, 128401, Doctorate, 16, Never-married, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+28, Private, 336951, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+60, Self-emp-not-inc, 95445, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 3137, 0, 46, United-States, <=50K
+43, Private, 54611, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+45, Self-emp-not-inc, 315984, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 50, United-States, >50K
+28, Private, 210313, 10th, 6, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K
+19, Private, 181020, 11th, 7, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 30, United-States, <=50K
+51, Self-emp-not-inc, 120781, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Other, Male, 99999, 0, 70, India, >50K
+19, Private, 256979, HS-grad, 9, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 35, United-States, <=50K
+64, Private, 47298, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K
+44, Private, 125461, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K
+21, Private, 209955, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K
+33, Private, 182246, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+63, Private, 76860, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, >50K
+44, ?, 91949, HS-grad, 9, Never-married, ?, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+44, Local-gov, 136986, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 35, United-States, >50K
+28, Federal-gov, 183445, HS-grad, 9, Never-married, Exec-managerial, Unmarried, White, Female, 0, 0, 70, Puerto-Rico, <=50K
+24, Private, 130741, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+20, Federal-gov, 191878, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 20, United-States, <=50K
+21, ?, 233923, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 24, United-States, <=50K
+20, Private, 48121, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 304302, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K
+34, Federal-gov, 284703, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 52, United-States, <=50K
+17, Private, 401198, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+35, Private, 243357, 11th, 7, Separated, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+26, Private, 32276, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 110538, HS-grad, 9, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K
+25, Private, 257310, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+27, Self-emp-not-inc, 411950, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+52, Local-gov, 392668, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K
+43, Self-emp-not-inc, 52498, Bachelors, 13, Never-married, Prof-specialty, Unmarried, White, Female, 0, 0, 50, United-States, <=50K
+36, Private, 223433, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 50, United-States, >50K
+37, Private, 87076, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+58, Private, 224854, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+25, Private, 193379, Assoc-acdm, 12, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+54, Private, 98436, Masters, 14, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+42, ?, 116632, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 60, United-States, <=50K
+65, Self-emp-inc, 210381, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 65, United-States, >50K
+44, Private, 90688, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 45, Laos, <=50K
+61, Private, 229744, 5th-6th, 3, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, El-Salvador, <=50K
+29, Private, 59732, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K
+34, Private, 192900, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+24, State-gov, 90046, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, Canada, <=50K
+40, Private, 272960, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 42, United-States, >50K
+42, Self-emp-inc, 152071, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, Cuba, >50K
+50, Private, 301583, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+18, ?, 171964, HS-grad, 9, Never-married, ?, Own-child, White, Female, 0, 1602, 20, United-States, <=50K
+49, Private, 315984, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 241962, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+41, Private, 131591, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 45, United-States, <=50K
+70, Self-emp-inc, 207938, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 5, United-States, <=50K
+51, Private, 53197, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+24, Private, 121023, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+57, Self-emp-not-inc, 287229, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, >50K
+22, Private, 163911, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+31, Private, 191834, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+28, Private, 204734, Some-college, 10, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 40, United-States, <=50K
+45, Self-emp-not-inc, 220978, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K
+39, Private, 365739, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+26, Private, 50103, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+38, Private, 283293, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+38, Self-emp-not-inc, 194534, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 99999, 0, 60, United-States, >50K
+19, Private, 263338, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+36, ?, 504871, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, >50K
+30, Private, 348592, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 44, United-States, <=50K
+28, Private, 173944, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+53, Private, 226135, 9th, 5, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, Jamaica, <=50K
+32, Private, 172375, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K
+57, Self-emp-inc, 127728, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 60, United-States, >50K
+47, Private, 347025, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+36, Private, 191335, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 56, United-States, <=50K
+21, Private, 247779, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 38, United-States, <=50K
+25, State-gov, 262664, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K
+37, Private, 95855, HS-grad, 9, Divorced, Protective-serv, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+31, Private, 74501, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 30, United-States, <=50K
+43, Private, 245317, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K
+61, Private, 29059, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 2754, 25, United-States, <=50K
+56, Private, 200316, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 35, United-States, <=50K
+35, Private, 198341, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 40, ?, <=50K
+59, Private, 100453, 7th-8th, 4, Separated, Other-service, Own-child, Black, Female, 0, 0, 38, United-States, <=50K
+44, Self-emp-not-inc, 343190, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1887, 55, United-States, >50K
+47, Private, 235683, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+44, Private, 83237, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K
+64, Private, 88470, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 198801, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+53, Private, 168107, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+50, Private, 196193, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, ?, <=50K
+30, ?, 205418, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 20, United-States, <=50K
+46, Private, 695411, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 44, United-States, <=50K
+45, Self-emp-inc, 139268, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+44, Federal-gov, 192771, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+59, Self-emp-inc, 122390, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 48, United-States, >50K
+65, Self-emp-inc, 184965, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 40, United-States, >50K
+23, Private, 180837, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+33, Private, 159548, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 38, United-States, <=50K
+34, Private, 110554, HS-grad, 9, Divorced, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+38, Private, 103474, Assoc-voc, 11, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+62, Private, 178249, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 35, United-States, >50K
+21, Private, 138768, Some-college, 10, Never-married, Sales, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+41, Private, 321824, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 8, United-States, <=50K
+35, Private, 244803, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, Peru, <=50K
+62, Local-gov, 206063, Some-college, 10, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+53, Private, 167651, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+69, State-gov, 163689, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 16, United-States, <=50K
+19, Self-emp-not-inc, 45546, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 16, United-States, <=50K
+47, Private, 420986, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+52, Self-emp-inc, 68015, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 90, United-States, >50K
+54, Private, 175594, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+58, ?, 148673, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 10, United-States, <=50K
+30, Private, 206322, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 73, United-States, >50K
+39, Private, 272338, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 25, United-States, <=50K
+73, Private, 105886, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 1173, 0, 75, United-States, <=50K
+64, Private, 312498, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 177675, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+51, Private, 152810, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+57, Private, 319122, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 212304, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+53, Private, 208321, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 1740, 40, United-States, <=50K
+39, Private, 240841, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K
+49, Private, 208978, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 16, United-States, <=50K
+23, Local-gov, 442359, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 1092, 40, United-States, <=50K
+28, Private, 198197, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 55, United-States, >50K
+46, Private, 261059, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 50, United-States, >50K
+40, Private, 72791, Some-college, 10, Never-married, Craft-repair, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+24, Private, 275395, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, <=50K
+20, ?, 195767, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+50, Private, 462966, 10th, 6, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 8, El-Salvador, <=50K
+24, ?, 265434, Bachelors, 13, Never-married, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+35, Private, 31269, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+33, Local-gov, 246291, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 46, United-States, <=50K
+54, Federal-gov, 128378, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+35, Local-gov, 231180, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K
+31, Local-gov, 206297, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K
+47, Self-emp-inc, 337050, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K
+48, Private, 193075, HS-grad, 9, Divorced, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+33, Local-gov, 169652, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, White, Male, 0, 1669, 55, United-States, <=50K
+35, Private, 35945, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+20, ?, 141453, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 10, United-States, <=50K
+36, Private, 252231, Preschool, 1, Never-married, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, Puerto-Rico, <=50K
+30, Private, 128016, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K
+39, Private, 150057, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, >50K
+25, Private, 258276, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K
+40, Private, 188465, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+25, Self-emp-inc, 161007, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 403468, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, Mexico, <=50K
+53, Federal-gov, 181677, Some-college, 10, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+18, Private, 120243, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 10, United-States, <=50K
+41, Private, 157025, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K
+25, Private, 306908, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K
+66, Self-emp-not-inc, 28061, 7th-8th, 4, Widowed, Farming-fishing, Unmarried, White, Male, 0, 0, 50, United-States, <=50K
+53, Private, 95540, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 1471, 0, 40, United-States, <=50K
+27, Private, 135001, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 293398, HS-grad, 9, Separated, Sales, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+23, Private, 185106, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+29, Self-emp-not-inc, 245790, 10th, 6, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 80, United-States, <=50K
+26, Private, 134004, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K
+26, Private, 205036, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K
+26, Private, 244495, 9th, 5, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+38, Private, 159179, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 405155, 5th-6th, 3, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+34, Private, 177437, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 15024, 0, 45, United-States, >50K
+32, Federal-gov, 402361, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+57, Self-emp-not-inc, 184553, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K
+31, Private, 302626, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+38, Private, 99138, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K
+39, Private, 112731, HS-grad, 9, Divorced, Other-service, Not-in-family, Other, Female, 0, 0, 40, Dominican-Republic, <=50K
+35, Private, 192923, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 2377, 40, United-States, <=50K
+18, Private, 761006, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+75, ?, 125784, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 8, United-States, <=50K
+28, Private, 182344, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+41, Self-emp-not-inc, 117012, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K
+39, Federal-gov, 30673, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K
+31, Federal-gov, 484669, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+38, State-gov, 314052, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K
+43, State-gov, 38537, Some-college, 10, Divorced, Exec-managerial, Unmarried, Black, Female, 0, 0, 38, ?, <=50K
+27, Private, 165412, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+42, Private, 198341, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 1902, 55, India, >50K
+46, Private, 116635, Bachelors, 13, Separated, Prof-specialty, Unmarried, Black, Female, 0, 0, 36, United-States, <=50K
+20, Private, 185452, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+42, Private, 118686, Some-college, 10, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 20, United-States, <=50K
+69, Private, 76939, HS-grad, 9, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+47, Federal-gov, 160646, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 35, United-States, <=50K
+49, State-gov, 126754, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Portugal, <=50K
+20, Private, 211049, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+52, Private, 311931, 5th-6th, 3, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 15, El-Salvador, <=50K
+33, Private, 283602, 5th-6th, 3, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 59, Mexico, <=50K
+18, Private, 155021, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 6, United-States, <=50K
+55, Self-emp-not-inc, 100569, HS-grad, 9, Separated, Farming-fishing, Unmarried, White, Female, 0, 0, 55, United-States, <=50K
+61, Private, 380462, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+61, Federal-gov, 221943, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 9386, 0, 40, United-States, >50K
+39, Private, 114544, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, >50K
+30, Private, 248584, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+61, Private, 227468, HS-grad, 9, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+36, Private, 66173, Assoc-acdm, 12, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 15, United-States, <=50K
+34, Private, 107624, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+53, Private, 70387, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 4386, 0, 40, India, >50K
+38, Private, 423616, Assoc-voc, 11, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 36, United-States, >50K
+46, Private, 98637, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 50, United-States, >50K
+27, Local-gov, 216013, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+32, Self-emp-not-inc, 210926, 11th, 7, Separated, Handlers-cleaners, Unmarried, White, Female, 0, 0, 40, Nicaragua, <=50K
+60, Local-gov, 255711, Bachelors, 13, Widowed, Prof-specialty, Unmarried, White, Female, 0, 0, 60, United-States, >50K
+23, Private, 77581, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 152461, Bachelors, 13, Never-married, Prof-specialty, Unmarried, White, Female, 14344, 0, 50, United-States, >50K
+22, Private, 203263, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 50, United-States, <=50K
+25, Private, 261519, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+29, Private, 91189, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, <=50K
+90, Federal-gov, 195433, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 30, United-States, <=50K
+37, Local-gov, 272471, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+32, Private, 311524, HS-grad, 9, Never-married, Craft-repair, Own-child, Black, Male, 0, 0, 38, United-States, <=50K
+18, Private, 151386, HS-grad, 9, Married-spouse-absent, Other-service, Own-child, Black, Male, 0, 0, 40, Jamaica, <=50K
+35, Private, 187625, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 65, United-States, <=50K
+50, Private, 108933, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 2885, 0, 40, United-States, <=50K
+54, Private, 135388, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 5178, 0, 40, United-States, >50K
+43, Private, 169383, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+28, Self-emp-inc, 191129, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 65, United-States, >50K
+51, Private, 467611, 9th, 5, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+31, Private, 373185, Some-college, 10, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 42, Mexico, <=50K
+69, Private, 130060, HS-grad, 9, Separated, Transport-moving, Unmarried, Black, Female, 2387, 0, 40, United-States, <=50K
+57, Private, 199934, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+71, ?, 116165, Some-college, 10, Widowed, ?, Not-in-family, White, Female, 0, 0, 14, Canada, <=50K
+28, Private, 42881, 10th, 6, Divorced, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+28, ?, 174666, 10th, 6, Separated, ?, Not-in-family, White, Male, 0, 0, 80, United-States, <=50K
+25, Private, 169759, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 95, United-States, <=50K
+49, Self-emp-not-inc, 181547, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 30, Columbia, <=50K
+52, Private, 95704, 9th, 5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 237432, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, ?, <=50K
+32, Private, 226267, 5th-6th, 3, Married-spouse-absent, Craft-repair, Other-relative, White, Male, 0, 0, 40, El-Salvador, <=50K
+31, Private, 159979, Some-college, 10, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 50, United-States, <=50K
+30, Private, 203488, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 50, United-States, <=50K
+24, Private, 403671, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K
+45, Private, 192323, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 66, Yugoslavia, <=50K
+30, Private, 167832, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+52, Private, 145166, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 55, United-States, >50K
+42, State-gov, 155657, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 0, 25, United-States, <=50K
+49, Private, 116789, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 39234, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+25, Private, 124111, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+41, Private, 172828, 9th, 5, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 55, Outlying-US(Guam-USVI-etc), <=50K
+55, Private, 143372, HS-grad, 9, Divorced, Sales, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+31, Self-emp-not-inc, 265807, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 3137, 0, 50, United-States, <=50K
+25, State-gov, 218184, Bachelors, 13, Never-married, Protective-serv, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+32, Private, 154087, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+29, Federal-gov, 440647, Some-college, 10, Never-married, Adm-clerical, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 193952, HS-grad, 9, Divorced, Other-service, Not-in-family, Black, Female, 0, 0, 40, ?, <=50K
+52, Private, 125932, 7th-8th, 4, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+19, Private, 284652, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+21, ?, 214635, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 24, United-States, <=50K
+43, Private, 173316, Assoc-acdm, 12, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+39, State-gov, 65390, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, ?, <=50K
+40, Self-emp-inc, 45054, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K
+54, Private, 185042, 1st-4th, 2, Separated, Priv-house-serv, Other-relative, White, Female, 0, 0, 40, Mexico, <=50K
+35, Private, 117381, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 258666, Assoc-voc, 11, Never-married, Tech-support, Not-in-family, White, Female, 0, 1974, 40, United-States, <=50K
+35, Private, 179668, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+57, Private, 127277, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Taiwan, >50K
+26, Private, 192022, Bachelors, 13, Never-married, Other-service, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+55, Self-emp-not-inc, 99551, Bachelors, 13, Widowed, Sales, Unmarried, White, Female, 0, 0, 15, United-States, <=50K
+51, Private, 208899, Bachelors, 13, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+35, Private, 287658, Assoc-acdm, 12, Never-married, Transport-moving, Not-in-family, Black, Male, 0, 0, 30, Jamaica, <=50K
+31, Private, 196125, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+17, Private, 275051, 11th, 7, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 8, United-States, <=50K
+38, Private, 23892, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, United-States, <=50K
+39, Federal-gov, 376455, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1887, 50, United-States, >50K
+29, Private, 267989, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+39, Private, 30269, Assoc-voc, 11, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+42, Private, 204235, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+46, Local-gov, 209057, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+73, Private, 349347, 7th-8th, 4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 25, United-States, <=50K
+47, Local-gov, 154033, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 1876, 40, United-States, <=50K
+28, Private, 124680, HS-grad, 9, Never-married, Sales, Unmarried, White, Female, 0, 0, 70, United-States, <=50K
+27, Private, 132805, 10th, 6, Never-married, Sales, Other-relative, White, Male, 0, 1980, 40, United-States, <=50K
+38, Private, 99233, Prof-school, 15, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+19, Private, 224849, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+60, Local-gov, 101110, Assoc-voc, 11, Divorced, Prof-specialty, Unmarried, White, Male, 0, 0, 40, United-States, >50K
+24, Private, 184839, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+52, Private, 302847, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 181322, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+26, Local-gov, 192213, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, Canada, <=50K
+28, State-gov, 37250, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 16, United-States, <=50K
+38, Self-emp-inc, 140854, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K
+47, Private, 158286, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+50, Private, 269095, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, >50K
+27, Private, 279960, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+47, Private, 176239, Some-college, 10, Widowed, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+36, Private, 115360, 10th, 6, Married-civ-spouse, Machine-op-inspct, Own-child, White, Female, 3464, 0, 40, United-States, <=50K
+49, Private, 337666, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+68, ?, 255276, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 48, United-States, >50K
+63, Private, 145212, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+36, Private, 185099, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 70, United-States, >50K
+42, Private, 142756, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 35, United-States, <=50K
+28, Private, 156300, Masters, 14, Never-married, Exec-managerial, Not-in-family, Black, Female, 0, 0, 45, United-States, <=50K
+68, ?, 186266, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 8, United-States, <=50K
+38, Private, 219137, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 22, United-States, <=50K
+43, Private, 110970, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 40, United-States, >50K
+49, Private, 203067, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+59, Private, 148844, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+25, Private, 154941, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+26, Private, 124111, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K
+59, Private, 157303, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K
+34, Private, 113838, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+34, Private, 165737, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 43, India, >50K
+67, Private, 140849, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K
+45, Private, 200363, Assoc-voc, 11, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 44, United-States, <=50K
+64, Private, 180247, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+51, Private, 82578, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 38, Canada, >50K
+31, Private, 227146, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K
+42, Self-emp-inc, 348886, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+65, Private, 90907, 5th-6th, 3, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K
+23, Private, 142766, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K
+31, Private, 246439, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+33, Private, 184784, 10th, 6, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+17, Local-gov, 195262, 11th, 7, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+63, Private, 167967, Masters, 14, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 46, United-States, <=50K
+48, Private, 145636, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 60, United-States, >50K
+45, Local-gov, 170099, Assoc-acdm, 12, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+17, Private, 228253, 10th, 6, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 10, United-States, <=50K
+26, Local-gov, 205570, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+38, Federal-gov, 506830, Some-college, 10, Divorced, Tech-support, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+29, Private, 412435, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, Outlying-US(Guam-USVI-etc), <=50K
+44, Private, 163331, Some-college, 10, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 32, United-States, <=50K
+43, Federal-gov, 222756, Masters, 14, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+39, State-gov, 318918, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+43, Private, 105188, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 40, Haiti, <=50K
+23, Private, 199884, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 45, United-States, <=50K
+19, Private, 96483, HS-grad, 9, Never-married, Other-service, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K
+49, Self-emp-not-inc, 192203, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Canada, <=50K
+52, Private, 203392, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 5013, 0, 40, United-States, <=50K
+32, Private, 99646, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K
+38, Private, 167440, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 4508, 0, 40, United-States, <=50K
+25, ?, 210095, 5th-6th, 3, Never-married, ?, Unmarried, White, Female, 0, 0, 25, El-Salvador, <=50K
+44, Private, 219591, Some-college, 10, Divorced, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+63, Private, 30270, 7th-8th, 4, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+42, Local-gov, 226020, HS-grad, 9, Separated, Other-service, Not-in-family, Black, Female, 0, 0, 60, ?, <=50K
+21, Private, 314165, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 40, Columbia, <=50K
+32, Private, 330715, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+24, Self-emp-not-inc, 35448, HS-grad, 9, Separated, Other-service, Unmarried, White, Female, 0, 0, 50, United-States, <=50K
+50, State-gov, 172970, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, Puerto-Rico, <=50K
+26, Self-emp-inc, 189502, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 80, United-States, >50K
+35, Private, 61518, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 35, United-States, <=50K
+31, Private, 574005, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 44, United-States, >50K
+24, Private, 281356, 1st-4th, 2, Never-married, Farming-fishing, Not-in-family, Other, Male, 0, 0, 66, Mexico, <=50K
+40, Private, 138975, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 56, United-States, <=50K
+31, Private, 176969, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K
+43, Private, 132393, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, Poland, <=50K
+44, Private, 194924, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 35, United-States, >50K
+40, Private, 478205, Bachelors, 13, Never-married, Prof-specialty, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+75, ?, 128224, 5th-6th, 3, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 25, United-States, <=50K
+52, Local-gov, 30118, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 3137, 0, 42, United-States, <=50K
+51, Self-emp-not-inc, 290688, 5th-6th, 3, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+39, State-gov, 85566, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 121874, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 50, United-States, >50K
+40, Self-emp-not-inc, 29036, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+33, Private, 348152, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+38, Local-gov, 73715, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 60, United-States, >50K
+29, Private, 151382, Assoc-voc, 11, Divorced, Handlers-cleaners, Unmarried, White, Male, 0, 0, 50, United-States, <=50K
+37, Private, 236359, Some-college, 10, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 0, 37, United-States, <=50K
+37, Private, 19899, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 15024, 0, 45, United-States, >50K
+19, Private, 138760, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+46, Local-gov, 354962, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+46, Private, 181363, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+37, Private, 393360, Some-college, 10, Never-married, Protective-serv, Own-child, Black, Male, 0, 0, 30, United-States, <=50K
+34, Private, 210736, Some-college, 10, Separated, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, ?, <=50K
+38, Private, 110013, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 43, United-States, <=50K
+26, Private, 193304, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 118551, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+57, Private, 201991, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 157446, 11th, 7, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K
+26, Local-gov, 283217, Some-college, 10, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 247794, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 84, United-States, <=50K
+38, Private, 43712, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 60, United-States, >50K
+61, Private, 35649, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 6, United-States, <=50K
+36, Self-emp-not-inc, 342719, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, ?, >50K
+61, ?, 71467, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 3103, 0, 40, United-States, >50K
+17, Private, 271837, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 16, United-States, <=50K
+40, Private, 400061, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male, 0, 0, 40, United-States, >50K
+18, Private, 62972, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 16, United-States, <=50K
+21, Private, 174907, Assoc-acdm, 12, Never-married, Sales, Own-child, White, Female, 0, 0, 32, United-States, <=50K
+41, Private, 176452, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, Peru, <=50K
+46, Private, 268358, 11th, 7, Separated, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+55, Federal-gov, 176904, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 176683, Assoc-acdm, 12, Never-married, Sales, Not-in-family, White, Male, 0, 0, 52, United-States, <=50K
+39, Private, 98077, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 42, United-States, <=50K
+36, Private, 266461, HS-grad, 9, Never-married, Transport-moving, Own-child, Black, Male, 0, 0, 48, United-States, <=50K
+51, Private, 312477, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 3908, 0, 40, United-States, <=50K
+27, Private, 604045, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+30, Local-gov, 131568, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+42, Private, 97688, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 47, United-States, <=50K
+23, Private, 373628, Bachelors, 13, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+56, Private, 367984, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 40, United-States, >50K
+41, Self-emp-not-inc, 193459, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+49, Private, 250733, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 46, United-States, <=50K
+46, Federal-gov, 199725, Assoc-voc, 11, Divorced, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 60, United-States, <=50K
+54, Private, 156877, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Greece, <=50K
+38, Private, 122076, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 7298, 0, 43, United-States, >50K
+45, Self-emp-not-inc, 216402, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 50, India, >50K
+50, Self-emp-not-inc, 42402, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2415, 30, United-States, >50K
+22, Private, 315974, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+31, Private, 63437, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, Ireland, <=50K
+27, Private, 160786, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+34, Private, 85374, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+46, Private, 465974, 11th, 7, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+47, Private, 78529, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K
+36, State-gov, 98037, Assoc-voc, 11, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K
+22, Private, 178390, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+51, Private, 210940, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 2002, 45, United-States, <=50K
+43, Private, 64506, Some-college, 10, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+54, Private, 128378, Some-college, 10, Widowed, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+24, Private, 234460, 9th, 5, Never-married, Machine-op-inspct, Own-child, Black, Female, 0, 0, 40, Dominican-Republic, <=50K
+29, Private, 176760, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 55, United-States, <=50K
+40, State-gov, 59460, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 38, United-States, <=50K
+18, Private, 234428, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+31, Private, 215047, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+57, Private, 140426, Doctorate, 16, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 1977, 40, Germany, >50K
+32, Private, 191777, Masters, 14, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+48, Private, 148995, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+24, Private, 229773, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K
+24, Private, 174461, Assoc-acdm, 12, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 22, United-States, <=50K
+24, Private, 250647, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Guatemala, <=50K
+49, Local-gov, 119904, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 7688, 0, 30, United-States, >50K
+27, Self-emp-not-inc, 151402, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 1573, 70, United-States, <=50K
+37, Private, 184556, Some-college, 10, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+33, Private, 263561, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, >50K
+19, Private, 177945, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 25, United-States, <=50K
+45, Private, 306889, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K
+54, Local-gov, 54377, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+47, Private, 144351, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 625, 40, United-States, <=50K
+22, Private, 95566, Some-college, 10, Married-spouse-absent, Sales, Own-child, Other, Female, 0, 0, 22, Dominican-Republic, <=50K
+20, Private, 181675, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 172129, 9th, 5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+49, ?, 350759, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+58, Self-emp-not-inc, 105592, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K
+20, ?, 200061, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, ?, <=50K
+34, Self-emp-inc, 200689, Bachelors, 13, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+36, Private, 386726, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1977, 44, United-States, >50K
+28, Local-gov, 135567, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, Black, Female, 4101, 0, 60, United-States, <=50K
+38, Local-gov, 282753, Assoc-voc, 11, Divorced, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 137367, 11th, 7, Never-married, Craft-repair, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, India, <=50K
+35, Self-emp-inc, 153976, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K
+51, Self-emp-inc, 96062, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K
+33, Private, 152933, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+71, Private, 97870, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 15, Germany, <=50K
+48, Private, 254291, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+53, Self-emp-not-inc, 101432, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K
+40, Private, 125776, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+64, Self-emp-not-inc, 165479, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 5, United-States, <=50K
+42, Federal-gov, 172307, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 48, United-States, >50K
+25, Private, 176729, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+66, Private, 174276, Some-college, 10, Widowed, Sales, Unmarried, White, Female, 0, 0, 50, United-States, >50K
+59, Federal-gov, 48102, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, ?, >50K
+42, Self-emp-not-inc, 79531, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K
+24, Private, 306460, HS-grad, 9, Never-married, Farming-fishing, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+19, Private, 55284, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+26, Private, 172063, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 24, United-States, <=50K
+22, Private, 141028, HS-grad, 9, Never-married, Other-service, Own-child, Black, Male, 0, 0, 30, United-States, <=50K
+33, Private, 37274, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+63, Private, 31389, 11th, 7, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 12, United-States, <=50K
+20, Private, 415913, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+33, Private, 295591, 5th-6th, 3, Married-spouse-absent, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K
+57, ?, 202903, 7th-8th, 4, Married-civ-spouse, ?, Wife, White, Female, 1173, 0, 45, Puerto-Rico, <=50K
+56, Private, 159770, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+70, Self-emp-not-inc, 268832, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 24, United-States, >50K
+42, Private, 126003, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K
+25, Local-gov, 225193, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+28, Private, 297735, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K
+80, Self-emp-not-inc, 225892, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 1409, 0, 40, United-States, <=50K
+36, Private, 605502, 10th, 6, Never-married, Transport-moving, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+37, Private, 174150, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+38, Private, 165466, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 60, United-States, >50K
+52, State-gov, 189728, HS-grad, 9, Separated, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+49, Private, 360491, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+30, Private, 115040, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 262688, Some-college, 10, Married-civ-spouse, Sales, Husband, Black, Male, 7688, 0, 50, United-States, >50K
+70, Self-emp-inc, 158437, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, >50K
+55, Private, 41108, Some-college, 10, Widowed, Farming-fishing, Not-in-family, White, Male, 0, 2258, 62, United-States, >50K
+25, Private, 149875, Bachelors, 13, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+59, Private, 131916, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, Italy, >50K
+22, Private, 60668, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+41, Local-gov, 153132, Assoc-acdm, 12, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+62, Private, 155256, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+54, Private, 244770, HS-grad, 9, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+38, Private, 312108, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+52, Private, 102828, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 40, United-States, >50K
+36, Private, 93225, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+74, Self-emp-inc, 231002, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 30, United-States, >50K
+35, Self-emp-not-inc, 256992, 5th-6th, 3, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 15, Mexico, <=50K
+41, Private, 118721, 12th, 8, Divorced, Adm-clerical, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K
+30, Private, 151989, Assoc-voc, 11, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 40, United-States, <=50K
+25, Private, 109112, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, <=50K
+35, Private, 589809, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 13550, 0, 60, United-States, >50K
+38, Private, 172538, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K
+34, State-gov, 318982, Masters, 14, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 1848, 40, United-States, >50K
+48, Private, 204629, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+50, Self-emp-not-inc, 99894, 5th-6th, 3, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 15, United-States, <=50K
+19, Private, 369463, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+51, Private, 79324, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+39, Private, 61178, Bachelors, 13, Divorced, Adm-clerical, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 204226, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+17, Private, 183110, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 16, United-States, <=50K
+42, Private, 96321, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+25, Private, 167031, Some-college, 10, Never-married, Other-service, Other-relative, Other, Female, 0, 0, 25, Ecuador, <=50K
+36, Private, 108997, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+65, Private, 176796, Doctorate, 16, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+32, Self-emp-not-inc, 134737, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 70, United-States, >50K
+33, Self-emp-inc, 49795, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+32, State-gov, 131588, Some-college, 10, Never-married, Tech-support, Unmarried, Black, Female, 0, 0, 20, United-States, <=50K
+25, Private, 307643, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+41, Local-gov, 351350, Some-college, 10, Divorced, Protective-serv, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+44, Private, 260761, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+72, Private, 156310, 10th, 6, Married-civ-spouse, Other-service, Husband, White, Male, 2414, 0, 12, United-States, <=50K
+36, Private, 207789, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 52, United-States, <=50K
+67, Self-emp-not-inc, 252842, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 1797, 0, 20, United-States, <=50K
+28, Private, 294936, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 4064, 0, 45, United-States, <=50K
+24, Private, 196269, 11th, 7, Married-civ-spouse, Handlers-cleaners, Husband, Other, Male, 0, 0, 40, United-States, <=50K
+17, Private, 46402, 7th-8th, 4, Never-married, Sales, Own-child, White, Male, 0, 0, 8, United-States, <=50K
+32, Self-emp-not-inc, 267161, Bachelors, 13, Divorced, Exec-managerial, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K
+67, Private, 160456, 11th, 7, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+21, ?, 123983, Some-college, 10, Never-married, ?, Other-relative, Asian-Pac-Islander, Male, 0, 0, 10, Vietnam, <=50K
+51, Private, 123053, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 5013, 0, 40, India, <=50K
+32, Private, 426467, 1st-4th, 2, Never-married, Craft-repair, Not-in-family, White, Male, 3674, 0, 40, Guatemala, <=50K
+39, Private, 269323, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+18, Self-emp-not-inc, 42857, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+50, Self-emp-not-inc, 183915, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K
+24, Private, 211391, 10th, 6, Never-married, Sales, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K
+21, Local-gov, 193130, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+24, Private, 86745, Bachelors, 13, Never-married, Adm-clerical, Other-relative, Asian-Pac-Islander, Female, 0, 0, 16, United-States, <=50K
+34, Private, 226525, Assoc-voc, 11, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+68, ?, 270339, 10th, 6, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 35, United-States, <=50K
+49, Self-emp-not-inc, 343742, 10th, 6, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 32, United-States, <=50K
+50, Private, 150975, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K
+33, Private, 207301, Assoc-acdm, 12, Divorced, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+18, Private, 135924, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+45, Private, 184277, Assoc-voc, 11, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 55, United-States, >50K
+20, Private, 142233, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+46, Self-emp-inc, 120902, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 3103, 0, 37, United-States, >50K
+64, Local-gov, 158412, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+39, Private, 126161, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+35, Private, 149347, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K
+21, Private, 322674, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 32, United-States, <=50K
+29, Private, 55390, Assoc-acdm, 12, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+38, State-gov, 200904, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, Black, Female, 0, 0, 30, United-States, >50K
+45, Private, 166056, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+30, Self-emp-not-inc, 116666, Masters, 14, Divorced, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 50, India, >50K
+41, Private, 168324, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K
+37, Private, 121772, HS-grad, 9, Never-married, Craft-repair, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, Hong, <=50K
+45, Private, 126889, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1887, 60, United-States, >50K
+20, ?, 401690, HS-grad, 9, Never-married, ?, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+45, Self-emp-inc, 117605, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 48, United-States, >50K
+20, Federal-gov, 410446, HS-grad, 9, Never-married, Adm-clerical, Other-relative, White, Male, 0, 0, 20, United-States, <=50K
+63, Self-emp-inc, 38472, Some-college, 10, Widowed, Sales, Not-in-family, White, Female, 14084, 0, 60, United-States, >50K
+35, Self-emp-not-inc, 335704, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 70261, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K
+19, Private, 47577, Some-college, 10, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+23, Private, 117767, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+34, Private, 179641, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+23, ?, 343553, 11th, 7, Never-married, ?, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+36, Self-emp-not-inc, 328466, 5th-6th, 3, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, Mexico, >50K
+46, Private, 265097, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 5, United-States, <=50K
+38, Local-gov, 414791, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 42, United-States, >50K
+55, Local-gov, 48055, 12th, 8, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+27, Private, 341672, Some-college, 10, Never-married, Adm-clerical, Other-relative, Asian-Pac-Islander, Male, 0, 0, 40, India, <=50K
+48, Private, 266764, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K
+35, Private, 233571, HS-grad, 9, Divorced, Other-service, Own-child, White, Female, 0, 0, 50, United-States, <=50K
+53, Private, 126592, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Black, Male, 7688, 0, 40, United-States, >50K
+47, Private, 70754, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+50, Private, 138852, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 4650, 0, 22, United-States, <=50K
+32, Private, 175856, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 193494, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 46, United-States, <=50K
+41, Private, 104334, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+47, Federal-gov, 197332, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 205844, Some-college, 10, Never-married, Sales, Own-child, Black, Female, 0, 0, 25, United-States, <=50K
+45, Local-gov, 206459, Masters, 14, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 35, United-States, <=50K
+33, Private, 202822, 7th-8th, 4, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 14, Trinadad&Tobago, <=50K
+68, Without-pay, 174695, Some-college, 10, Married-spouse-absent, Farming-fishing, Unmarried, White, Female, 0, 0, 25, United-States, <=50K
+44, Private, 183342, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K
+49, Private, 105614, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, <=50K
+45, Private, 329603, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, Poland, >50K
+41, Private, 77373, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1848, 65, United-States, >50K
+29, Private, 207473, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+46, Private, 149161, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 60, ?, <=50K
+19, Private, 311974, HS-grad, 9, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 25, Mexico, <=50K
+56, Private, 175127, 10th, 6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+55, Self-emp-not-inc, 111625, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K
+29, Private, 48895, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+21, Private, 27049, HS-grad, 9, Never-married, Priv-house-serv, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K
+38, Private, 108907, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, ?, <=50K
+52, Private, 94988, 5th-6th, 3, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+22, Private, 218343, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+20, Private, 227626, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 60, United-States, <=50K
+31, Private, 272856, HS-grad, 9, Never-married, Craft-repair, Own-child, Black, Male, 0, 0, 50, England, <=50K
+39, Private, 30916, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+55, Private, 276229, Some-college, 10, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+35, Private, 289106, Assoc-acdm, 12, Separated, Sales, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+67, ?, 39100, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 5, United-States, <=50K
+45, Private, 192776, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 55, United-States, >50K
+61, Private, 147280, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K
+18, Private, 187770, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+51, State-gov, 213296, Bachelors, 13, Widowed, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+37, Self-emp-not-inc, 107410, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+21, ?, 170272, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+32, Private, 86808, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 38, United-States, <=50K
+48, Private, 149210, HS-grad, 9, Separated, Craft-repair, Unmarried, Black, Male, 0, 0, 45, United-States, <=50K
+62, Private, 123411, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 53, United-States, <=50K
+21, ?, 306779, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 487347, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+19, Private, 283945, 10th, 6, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 1602, 45, United-States, <=50K
+20, Private, 375698, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+41, Private, 271753, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 251854, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+47, Private, 264052, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K
+43, State-gov, 28451, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 37, United-States, >50K
+20, Private, 282604, Some-college, 10, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 20, United-States, <=50K
+29, Private, 185908, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 55, United-States, >50K
+51, Federal-gov, 198186, Bachelors, 13, Widowed, Prof-specialty, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+40, Private, 242521, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+26, Private, 337940, 5th-6th, 3, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K
+30, Private, 212064, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+36, Private, 129263, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+68, Local-gov, 144761, HS-grad, 9, Widowed, Protective-serv, Not-in-family, White, Male, 0, 1668, 20, United-States, <=50K
+42, Private, 109912, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, >50K
+41, Private, 113324, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+43, Private, 187795, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+20, Private, 173724, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+43, Private, 185129, Bachelors, 13, Divorced, Tech-support, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+53, Private, 73134, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 60, United-States, >50K
+45, Private, 236040, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+39, Private, 74194, HS-grad, 9, Never-married, Farming-fishing, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+31, Local-gov, 102130, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K
+23, Private, 140915, Some-college, 10, Never-married, Sales, Other-relative, Asian-Pac-Islander, Male, 0, 0, 25, Philippines, <=50K
+69, ?, 107575, HS-grad, 9, Divorced, ?, Not-in-family, White, Female, 2964, 0, 35, United-States, <=50K
+38, State-gov, 34364, Masters, 14, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+37, Self-emp-not-inc, 258037, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, Cuba, >50K
+18, Private, 391585, HS-grad, 9, Never-married, Machine-op-inspct, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+41, Self-emp-not-inc, 233130, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, Mexico, <=50K
+30, Private, 101345, Bachelors, 13, Married-civ-spouse, Sales, Wife, White, Female, 3103, 0, 55, United-States, >50K
+23, ?, 32897, Assoc-acdm, 12, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 20, United-States, <=50K
+26, Private, 248612, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+37, Private, 212465, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 198587, Some-college, 10, Never-married, Tech-support, Not-in-family, Black, Female, 2174, 0, 50, United-States, <=50K
+33, Private, 405913, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, Peru, >50K
+37, Private, 588003, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 40, United-States, >50K
+31, Private, 46807, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 210498, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 80, United-States, <=50K
+35, Private, 206951, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+28, Self-emp-not-inc, 237466, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 30, United-States, >50K
+59, Private, 279636, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 50, Guatemala, <=50K
+42, Private, 29320, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+50, Private, 271262, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K
+27, ?, 29361, Assoc-acdm, 12, Never-married, ?, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+32, Private, 76773, Some-college, 10, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+27, Private, 109004, HS-grad, 9, Separated, Craft-repair, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K
+43, Private, 226902, Bachelors, 13, Divorced, Machine-op-inspct, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+46, Private, 176552, 11th, 7, Divorced, Prof-specialty, Unmarried, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, >50K
+41, Private, 182303, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+59, Local-gov, 296253, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 8614, 0, 60, United-States, >50K
+20, Private, 218215, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+57, Private, 165695, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, ?, >50K
+46, Self-emp-not-inc, 51271, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 4386, 0, 70, United-States, <=50K
+45, Private, 96100, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+29, Local-gov, 82393, HS-grad, 9, Never-married, Handlers-cleaners, Unmarried, Asian-Pac-Islander, Male, 0, 1590, 45, United-States, <=50K
+23, Private, 248978, 11th, 7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+46, Private, 254367, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 1590, 48, United-States, <=50K
+55, ?, 200235, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 50, United-States, >50K
+58, Private, 94429, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+38, Private, 87282, Assoc-voc, 11, Never-married, Exec-managerial, Other-relative, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K
+29, Private, 119793, Some-college, 10, Never-married, Sales, Other-relative, White, Male, 0, 0, 50, United-States, <=50K
+57, ?, 85815, HS-grad, 9, Divorced, ?, Own-child, Asian-Pac-Islander, Male, 0, 0, 20, United-States, <=50K
+26, Local-gov, 197764, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+42, Private, 306982, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, >50K
+61, Private, 80896, HS-grad, 9, Separated, Transport-moving, Unmarried, Asian-Pac-Islander, Male, 0, 0, 45, United-States, >50K
+31, Private, 197886, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 45, United-States, >50K
+43, Private, 355728, HS-grad, 9, Divorced, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+47, Private, 121124, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 15024, 0, 50, United-States, >50K
+51, State-gov, 193720, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 56, United-States, >50K
+23, Private, 347292, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 34506, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+25, Private, 326370, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 38, ?, <=50K
+22, ?, 269221, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 63509, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+48, Private, 148254, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Wife, White, Female, 0, 0, 16, United-States, >50K
+33, Private, 190511, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+46, Private, 268022, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, ?, >50K
+18, Private, 20057, 7th-8th, 4, Never-married, Other-service, Other-relative, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K
+52, Private, 206862, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+46, Private, 189498, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1848, 45, United-States, >50K
+28, Private, 166320, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 289886, Some-college, 10, Never-married, Other-service, Other-relative, Asian-Pac-Islander, Male, 0, 0, 30, Vietnam, <=50K
+23, ?, 86337, Some-college, 10, Never-married, ?, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K
+45, Local-gov, 54190, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+17, Private, 147069, 10th, 6, Never-married, Sales, Own-child, White, Female, 0, 0, 16, United-States, <=50K
+56, Private, 282023, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+38, Self-emp-inc, 379485, Assoc-acdm, 12, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 45, United-States, <=50K
+81, Private, 129338, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 10, United-States, <=50K
+22, Private, 99829, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+43, State-gov, 182254, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+31, Private, 109428, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 1740, 40, United-States, <=50K
+42, Self-emp-not-inc, 351161, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1887, 40, United-States, >50K
+66, ?, 210750, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 50, United-States, <=50K
+50, Private, 132716, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K
+31, Private, 242984, Some-college, 10, Separated, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 101509, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+21, ?, 509629, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+36, Private, 119957, Bachelors, 13, Separated, Other-service, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K
+33, Private, 69727, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+36, Private, 204590, Bachelors, 13, Divorced, Prof-specialty, Unmarried, Black, Female, 0, 213, 40, United-States, <=50K
+37, ?, 50862, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 55, United-States, <=50K
+50, Private, 182907, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 25, United-States, <=50K
+55, Private, 206487, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+29, Private, 168015, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+24, Private, 149396, Some-college, 10, Never-married, Other-service, Other-relative, Black, Female, 0, 0, 30, Haiti, <=50K
+39, Federal-gov, 184964, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+34, Private, 398988, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 128777, 7th-8th, 4, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 55, United-States, <=50K
+60, Private, 252413, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Other, Male, 0, 0, 32, United-States, >50K
+33, Private, 181372, Masters, 14, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 50, United-States, >50K
+58, Private, 216851, 9th, 5, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, El-Salvador, <=50K
+27, Private, 106935, Some-college, 10, Separated, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+46, State-gov, 363875, Some-college, 10, Divorced, Protective-serv, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K
+63, Private, 287277, HS-grad, 9, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+38, Self-emp-not-inc, 172342, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+23, Private, 308498, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 15, United-States, <=50K
+29, Private, 122127, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 8614, 0, 40, United-States, >50K
+31, Private, 106437, Prof-school, 15, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 60, United-States, >50K
+49, Self-emp-inc, 306289, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+45, Self-emp-inc, 201699, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K
+42, Private, 282062, 9th, 5, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+48, Private, 235108, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 339482, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 181820, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+49, Self-emp-not-inc, 99335, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K
+40, Private, 367533, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 2580, 0, 40, United-States, <=50K
+57, Private, 64960, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 45, United-States, <=50K
+50, Private, 269095, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+46, Private, 58683, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 55, United-States, >50K
+35, Self-emp-not-inc, 89508, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 3908, 0, 60, United-States, <=50K
+19, Private, 100999, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+18, Private, 34125, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 0, 28, United-States, <=50K
+20, Private, 115057, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+42, Private, 139126, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+46, Private, 104632, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Cambodia, >50K
+40, Federal-gov, 178866, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 20, United-States, >50K
+54, Private, 139850, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 45, United-States, >50K
+28, Private, 61435, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+38, Private, 309230, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+28, Private, 45613, Some-college, 10, Never-married, Priv-house-serv, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+22, Private, 272615, 11th, 7, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 54318, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+27, Private, 165519, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+45, Private, 48495, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 42, United-States, >50K
+38, Private, 143123, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+67, Self-emp-not-inc, 431426, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Wife, White, Female, 20051, 0, 4, United-States, >50K
+75, Private, 256474, Masters, 14, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 16, United-States, <=50K
+41, Private, 191451, Masters, 14, Divorced, Exec-managerial, Unmarried, Black, Female, 0, 0, 60, United-States, >50K
+37, Private, 99146, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K
+47, Private, 235986, HS-grad, 9, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 50, Cuba, <=50K
+34, Local-gov, 429897, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, Mexico, >50K
+25, Private, 189897, HS-grad, 9, Married-civ-spouse, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+52, Private, 145155, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+27, State-gov, 192257, HS-grad, 9, Never-married, Protective-serv, Own-child, White, Male, 2174, 0, 40, United-States, <=50K
+35, Private, 194960, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, Other, Male, 0, 0, 40, Puerto-Rico, <=50K
+44, Local-gov, 357814, 12th, 8, Married-civ-spouse, Other-service, Other-relative, White, Female, 0, 0, 35, Mexico, <=50K
+27, Local-gov, 137629, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 80, United-States, >50K
+42, Private, 156526, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 33, United-States, <=50K
+26, Private, 189238, 9th, 5, Never-married, Other-service, Own-child, White, Female, 0, 0, 38, El-Salvador, <=50K
+23, Private, 202989, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, Canada, <=50K
+28, Private, 25684, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K
+38, Self-emp-not-inc, 192939, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+28, Private, 138692, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 50, United-States, <=50K
+29, Private, 222249, HS-grad, 9, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+56, Self-emp-not-inc, 201318, 9th, 5, Married-civ-spouse, Exec-managerial, Other-relative, White, Male, 3411, 0, 50, Columbia, <=50K
+23, ?, 190650, Bachelors, 13, Never-married, ?, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 35, United-States, <=50K
+30, Private, 56004, Some-college, 10, Never-married, Exec-managerial, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+48, Private, 182313, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+45, Self-emp-not-inc, 138962, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 72, ?, <=50K
+38, Private, 277248, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, Cuba, >50K
+24, Private, 125031, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+47, State-gov, 216414, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+22, Private, 171176, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 48, ?, <=50K
+29, Private, 356133, Some-college, 10, Never-married, Prof-specialty, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+45, Private, 185397, Assoc-acdm, 12, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 308285, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 56651, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+28, Local-gov, 154863, 9th, 5, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, Trinadad&Tobago, >50K
+46, Federal-gov, 44706, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 50, United-States, >50K
+34, ?, 222548, Some-college, 10, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 4, United-States, <=50K
+32, Private, 248754, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 104981, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 315065, Some-college, 10, Never-married, Other-service, Unmarried, White, Male, 0, 0, 35, Mexico, <=50K
+46, Private, 188325, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 221661, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+59, Private, 81973, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, >50K
+31, Private, 169122, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K
+48, Private, 216734, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+34, Private, 98101, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+19, Private, 292511, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 25, United-States, <=50K
+20, Private, 122971, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+29, Private, 124953, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 50, United-States, <=50K
+54, Private, 123011, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+36, Private, 76417, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 52, United-States, <=50K
+43, Private, 351576, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, >50K
+46, Federal-gov, 33794, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 3103, 0, 40, United-States, >50K
+33, Private, 79923, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K
+33, Private, 117983, 10th, 6, Divorced, Other-service, Unmarried, White, Female, 0, 0, 45, United-States, <=50K
+36, Private, 186110, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 187589, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 5178, 0, 40, United-States, >50K
+37, ?, 319685, Assoc-voc, 11, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 54, United-States, >50K
+64, ?, 64101, 12th, 8, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 24, United-States, <=50K
+45, Self-emp-not-inc, 162923, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K
+25, Private, 288519, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+28, Private, 33798, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 195734, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 2354, 0, 40, United-States, <=50K
+23, Private, 214120, HS-grad, 9, Never-married, Priv-house-serv, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 113515, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+58, Self-emp-not-inc, 261230, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+36, Private, 98515, Assoc-voc, 11, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+46, Private, 187715, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K
+23, ?, 214238, 7th-8th, 4, Never-married, ?, Not-in-family, White, Female, 0, 0, 40, Mexico, <=50K
+32, Private, 123964, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 4386, 0, 50, United-States, <=50K
+26, Private, 68991, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K
+52, Private, 292110, 5th-6th, 3, Never-married, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+19, Private, 198320, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+33, Private, 709798, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K
+60, Private, 372838, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+39, Private, 160402, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K
+45, Private, 98475, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+37, Local-gov, 97136, Some-college, 10, Married-spouse-absent, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+29, Private, 136985, Assoc-acdm, 12, Never-married, Tech-support, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+53, Private, 187356, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 66, United-States, <=50K
+46, State-gov, 107231, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1740, 40, United-States, <=50K
+20, Private, 305874, Some-college, 10, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+39, Private, 290922, Masters, 14, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+48, Private, 248254, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, White, Female, 7298, 0, 40, United-States, >50K
+38, Private, 160808, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 4386, 0, 48, United-States, <=50K
+36, Private, 247321, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+53, Private, 247651, 7th-8th, 4, Divorced, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 56, United-States, <=50K
+29, Private, 214702, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 1974, 35, United-States, <=50K
+64, Private, 75577, 7th-8th, 4, Married-civ-spouse, Adm-clerical, Husband, White, Male, 2580, 0, 50, United-States, <=50K
+34, Private, 561334, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+36, ?, 224886, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+41, Local-gov, 401134, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+34, Private, 258170, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 38, United-States, <=50K
+68, ?, 141181, 9th, 5, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 2, United-States, <=50K
+37, Private, 292370, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Other, Male, 0, 0, 50, ?, >50K
+22, Private, 300871, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K
+43, Private, 136721, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+19, ?, 140399, Some-college, 10, Never-married, ?, Other-relative, White, Female, 0, 0, 30, United-States, <=50K
+36, Private, 109133, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+47, Private, 186534, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K
+25, Private, 226891, Assoc-voc, 11, Never-married, Other-service, Other-relative, Asian-Pac-Islander, Female, 0, 0, 40, ?, <=50K
+33, Private, 241885, Some-college, 10, Separated, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 97165, Some-college, 10, Never-married, Machine-op-inspct, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+33, Private, 212918, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K
+24, Private, 211585, HS-grad, 9, Married-civ-spouse, Transport-moving, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+47, Local-gov, 178309, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+48, Self-emp-inc, 481987, 10th, 6, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 215211, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K
+33, Local-gov, 194901, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+44, Private, 340885, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 1977, 40, United-States, >50K
+33, Local-gov, 190290, Assoc-voc, 11, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 56, United-States, <=50K
+26, Private, 188569, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K
+22, Private, 162282, Assoc-voc, 11, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 287315, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K
+31, Self-emp-inc, 304212, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 45, United-States, <=50K
+73, ?, 200878, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K
+38, Local-gov, 256864, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+51, Self-emp-not-inc, 46401, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K
+36, Private, 37778, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 191722, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 7688, 0, 54, United-States, >50K
+64, Self-emp-not-inc, 103643, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 15, United-States, >50K
+24, Private, 143766, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 55, United-States, <=50K
+21, State-gov, 204425, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+28, Private, 156257, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, >50K
+18, ?, 113185, 11th, 7, Never-married, ?, Own-child, White, Male, 0, 0, 25, United-States, <=50K
+41, Self-emp-inc, 112262, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+17, Private, 28031, 9th, 5, Never-married, Other-service, Own-child, White, Male, 0, 0, 16, United-States, <=50K
+58, Private, 320102, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+50, Self-emp-not-inc, 334273, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 8, United-States, <=50K
+30, Private, 356015, 11th, 7, Married-spouse-absent, Handlers-cleaners, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 40, Mexico, <=50K
+47, Private, 278900, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 142528, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+50, Federal-gov, 343014, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+29, Private, 201017, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 55, Scotland, <=50K
+31, Self-emp-not-inc, 81030, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+40, Self-emp-not-inc, 34007, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 70, United-States, >50K
+31, Private, 29662, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K
+53, Private, 347446, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+33, Private, 90668, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+43, Private, 190403, Bachelors, 13, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+56, Private, 109015, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 7688, 0, 50, United-States, >50K
+38, Private, 234807, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 50, United-States, >50K
+18, Private, 157131, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+50, Private, 94081, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+78, Private, 135566, HS-grad, 9, Widowed, Sales, Unmarried, White, Female, 2329, 0, 12, United-States, <=50K
+27, Private, 103164, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+19, Private, 570002, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+24, State-gov, 215797, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+20, Private, 289405, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 1602, 15, United-States, <=50K
+25, Private, 239461, Masters, 14, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+34, Private, 101510, Bachelors, 13, Divorced, Sales, Not-in-family, White, Female, 0, 0, 50, United-States, >50K
+30, Self-emp-inc, 443546, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 35, United-States, <=50K
+37, Federal-gov, 141029, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+38, Private, 207202, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, >50K
+67, Without-pay, 137192, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 12, Philippines, <=50K
+35, Private, 222989, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 30, United-States, <=50K
+75, Self-emp-not-inc, 36325, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 30, United-States, <=50K
+47, Private, 73394, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 50, United-States, <=50K
+23, Private, 249046, 10th, 6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+51, Federal-gov, 100653, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 8, United-States, <=50K
+42, Local-gov, 1125613, HS-grad, 9, Divorced, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+32, Private, 101352, Some-college, 10, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 32, United-States, >50K
+54, Private, 340476, HS-grad, 9, Separated, Sales, Unmarried, White, Female, 0, 0, 35, United-States, <=50K
+20, Private, 192711, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+39, Private, 273362, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+41, Private, 100451, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 38, United-States, >50K
+35, Private, 85399, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+45, Local-gov, 168191, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, >50K
+27, Private, 153475, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+61, Self-emp-not-inc, 196773, 7th-8th, 4, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 30, United-States, >50K
+41, Private, 180138, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+22, Private, 48347, Some-college, 10, Never-married, Tech-support, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+55, Private, 175071, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Black, Male, 15024, 0, 40, United-States, >50K
+66, ?, 129476, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 6, United-States, <=50K
+25, Private, 181772, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 284317, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+20, Private, 237305, Some-college, 10, Never-married, Machine-op-inspct, Other-relative, Black, Female, 0, 0, 35, United-States, <=50K
+67, Self-emp-inc, 111321, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 16, United-States, <=50K
+44, Private, 278476, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K
+42, Private, 39060, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K
+29, Local-gov, 205262, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Other, Male, 0, 0, 40, Ecuador, <=50K
+48, Private, 198000, Some-college, 10, Never-married, Craft-repair, Unmarried, White, Female, 0, 0, 38, United-States, >50K
+25, Private, 397962, HS-grad, 9, Never-married, Adm-clerical, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K
+31, Private, 178370, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 99, United-States, >50K
+48, Private, 121253, Bachelors, 13, Married-spouse-absent, Sales, Unmarried, White, Female, 0, 2472, 70, United-States, >50K
+40, Private, 56072, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K
+26, Private, 176756, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 60374, HS-grad, 9, Married-civ-spouse, Other-service, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+52, Private, 165681, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+41, Self-emp-not-inc, 287037, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+39, Self-emp-not-inc, 55568, Bachelors, 13, Married-civ-spouse, Farming-fishing, Wife, White, Female, 0, 0, 50, United-States, <=50K
+48, Private, 155509, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 16, Trinadad&Tobago, <=50K
+19, Private, 201178, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+27, Private, 37250, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 1651, 40, United-States, <=50K
+59, Private, 314149, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 1740, 50, United-States, <=50K
+19, Private, 264593, Some-college, 10, Never-married, Sales, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 159589, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 50, United-States, <=50K
+39, Private, 454915, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 285131, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 150057, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 55390, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 45, United-States, <=50K
+23, Private, 314894, HS-grad, 9, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 45, United-States, <=50K
+59, ?, 184948, Assoc-voc, 11, Divorced, ?, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K
+25, Local-gov, 124483, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 20, India, <=50K
+37, Self-emp-inc, 97986, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 68, United-States, <=50K
+31, Private, 210562, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 65, United-States, <=50K
+24, Private, 233280, Assoc-acdm, 12, Never-married, Sales, Own-child, White, Female, 0, 0, 37, United-States, <=50K
+53, Local-gov, 164300, Bachelors, 13, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 38, Dominican-Republic, <=50K
+26, Private, 227489, Some-college, 10, Never-married, Handlers-cleaners, Other-relative, Black, Male, 0, 0, 40, ?, <=50K
+25, Private, 263773, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K
+59, Private, 96459, 11th, 7, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+39, Federal-gov, 116608, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+28, Private, 180007, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 305466, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 238917, HS-grad, 9, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 40, El-Salvador, <=50K
+25, Private, 129784, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+27, Private, 367390, Some-college, 10, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 50, United-States, <=50K
+20, Private, 235691, HS-grad, 9, Never-married, Sales, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+63, ?, 166425, Some-college, 10, Widowed, ?, Not-in-family, Black, Female, 0, 0, 24, United-States, <=50K
+43, Self-emp-not-inc, 160369, 10th, 6, Divorced, Farming-fishing, Unmarried, White, Male, 0, 0, 25, United-States, <=50K
+39, Private, 206298, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+27, Private, 183523, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+17, Private, 217342, 10th, 6, Never-married, Sales, Own-child, White, Female, 0, 0, 5, United-States, <=50K
+40, State-gov, 141858, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 72, United-States, <=50K
+50, Private, 213296, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, >50K
+23, Self-emp-inc, 201682, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+60, Private, 178312, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 7298, 0, 65, United-States, >50K
+30, Private, 269723, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+24, Private, 200593, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 50, United-States, <=50K
+23, Private, 32616, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+24, Private, 259510, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 5013, 0, 30, United-States, <=50K
+45, Self-emp-not-inc, 271828, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 20, United-States, <=50K
+58, Self-emp-inc, 78104, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 60, United-States, >50K
+22, Private, 113703, Some-college, 10, Never-married, Sales, Other-relative, White, Male, 0, 0, 20, United-States, <=50K
+41, Private, 187802, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+48, Private, 440706, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K
+31, Private, 191834, HS-grad, 9, Divorced, Machine-op-inspct, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 149184, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 50, United-States, >50K
+49, Self-emp-inc, 315998, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K
+30, Private, 159589, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 50, United-States, >50K
+38, Private, 60313, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+58, Local-gov, 32855, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 48, United-States, <=50K
+58, Private, 142326, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+61, Self-emp-not-inc, 201965, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+58, Private, 172333, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 40, United-States, >50K
+32, Private, 206541, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 45, United-States, >50K
+33, Self-emp-not-inc, 177828, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+28, Private, 303440, Bachelors, 13, Separated, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, >50K
+22, Private, 89991, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 11, United-States, <=50K
+35, Private, 186009, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+59, Private, 170988, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K
+45, Self-emp-inc, 180239, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 7688, 0, 40, ?, >50K
+50, Self-emp-not-inc, 213654, HS-grad, 9, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+56, Self-emp-inc, 32316, 12th, 8, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+36, Self-emp-not-inc, 150371, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+18, ?, 387871, 10th, 6, Never-married, ?, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+28, Private, 314649, Some-college, 10, Married-civ-spouse, Sales, Husband, Amer-Indian-Eskimo, Male, 0, 0, 60, United-States, <=50K
+42, Private, 240255, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 40, United-States, >50K
+60, Private, 206339, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+41, Self-emp-inc, 230168, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 91, United-States, <=50K
+42, Private, 171424, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 7298, 0, 45, United-States, >50K
+36, Private, 148581, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, >50K
+52, Local-gov, 89705, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+42, Self-emp-not-inc, 248406, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+26, Local-gov, 72594, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 55, United-States, >50K
+31, Local-gov, 137537, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+47, Private, 225065, 5th-6th, 3, Separated, Sales, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K
+35, Private, 217274, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, <=50K
+19, Private, 69151, 9th, 5, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 25, United-States, <=50K
+59, Self-emp-not-inc, 81107, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 80, United-States, >50K
+38, Private, 205852, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+36, Private, 201117, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K
+35, Private, 397307, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K
+39, Private, 115422, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 30, United-States, <=50K
+64, Private, 114994, Some-college, 10, Separated, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+17, Local-gov, 39815, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+49, Private, 151584, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 32, United-States, <=50K
+19, Private, 164938, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+36, Self-emp-not-inc, 179896, HS-grad, 9, Married-civ-spouse, Prof-specialty, Wife, White, Female, 3137, 0, 40, United-States, <=50K
+26, Private, 253841, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+27, Private, 177955, 5th-6th, 3, Never-married, Priv-house-serv, Other-relative, White, Female, 2176, 0, 40, El-Salvador, <=50K
+66, Private, 113323, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 20051, 0, 40, United-States, >50K
+38, Private, 320305, 7th-8th, 4, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 229287, Bachelors, 13, Never-married, Exec-managerial, Other-relative, White, Female, 0, 0, 25, United-States, <=50K
+19, Private, 100790, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+30, Private, 331419, Assoc-acdm, 12, Never-married, Craft-repair, Not-in-family, White, Male, 4787, 0, 50, United-States, >50K
+22, Private, 171419, Assoc-voc, 11, Never-married, Exec-managerial, Unmarried, Asian-Pac-Islander, Male, 0, 0, 40, South, <=50K
+60, Private, 202226, Some-college, 10, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 44, United-States, >50K
+54, Private, 308087, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 1977, 18, United-States, >50K
+46, Private, 220124, HS-grad, 9, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 37, United-States, <=50K
+33, State-gov, 31703, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+51, Local-gov, 153908, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+43, Private, 180599, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 60, United-States, >50K
+18, ?, 252046, HS-grad, 9, Never-married, ?, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+60, Self-emp-inc, 160062, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 25, United-States, <=50K
+39, Self-emp-not-inc, 148443, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K
+23, Private, 91733, Bachelors, 13, Never-married, Tech-support, Own-child, White, Female, 3325, 0, 40, United-States, <=50K
+39, Private, 176634, Assoc-acdm, 12, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+40, Local-gov, 74949, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+48, Private, 165484, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 65, United-States, >50K
+24, Private, 44738, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 130040, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+31, Self-emp-not-inc, 234537, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K
+39, Private, 179016, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+27, Private, 335421, Masters, 14, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+45, State-gov, 312678, Masters, 14, Never-married, Adm-clerical, Not-in-family, Black, Male, 0, 0, 38, United-States, <=50K
+22, ?, 313786, HS-grad, 9, Divorced, ?, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K
+31, Private, 198751, Bachelors, 13, Never-married, Craft-repair, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, Vietnam, <=50K
+63, Private, 131519, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+45, Private, 285060, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+28, State-gov, 189765, Some-college, 10, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 50, United-States, <=50K
+23, Private, 130905, Bachelors, 13, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+50, Private, 146325, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 44, United-States, >50K
+33, Private, 102821, 12th, 8, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K
+22, ?, 137876, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 388998, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 13550, 0, 46, United-States, >50K
+29, Private, 82910, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 309122, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 35, United-States, <=50K
+60, Private, 532845, 1st-4th, 2, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Mexico, >50K
+46, Private, 195833, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, ?, <=50K
+67, ?, 98882, Masters, 14, Widowed, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+20, ?, 133515, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 15, France, <=50K
+23, Private, 55215, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 55, United-States, <=50K
+38, Self-emp-inc, 176357, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K
+60, Private, 185836, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+20, Self-emp-not-inc, 54152, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+37, Private, 212437, Some-college, 10, Widowed, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 48, United-States, <=50K
+37, Private, 224566, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+58, Private, 200040, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 41526, Bachelors, 13, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 30, Canada, <=50K
+27, Private, 89598, Some-college, 10, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 60, United-States, <=50K
+33, Private, 323811, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 55, United-States, <=50K
+43, State-gov, 30824, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+21, Federal-gov, 181096, Some-college, 10, Never-married, Tech-support, Own-child, Black, Male, 0, 0, 20, United-States, <=50K
+45, Private, 217953, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Other, Male, 0, 0, 40, Mexico, <=50K
+44, Private, 222635, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+52, ?, 121942, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+53, Private, 346871, HS-grad, 9, Divorced, Prof-specialty, Not-in-family, White, Male, 4787, 0, 46, United-States, >50K
+31, Private, 184889, HS-grad, 9, Never-married, Other-service, Own-child, Black, Female, 0, 0, 20, United-States, <=50K
+18, Federal-gov, 101709, 11th, 7, Never-married, Other-service, Own-child, Asian-Pac-Islander, Male, 0, 0, 15, Philippines, <=50K
+20, Private, 125010, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+32, Private, 53135, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+48, Private, 498328, 10th, 6, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+46, Private, 604380, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+28, Private, 174327, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, <=50K
+27, Self-emp-not-inc, 357283, HS-grad, 9, Never-married, Sales, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+18, Federal-gov, 280728, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 32, United-States, <=50K
+69, Self-emp-not-inc, 185039, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 9386, 0, 12, United-States, >50K
+50, Self-emp-inc, 251240, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+43, Private, 143046, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, Greece, <=50K
+32, Private, 210541, Bachelors, 13, Divorced, Sales, Unmarried, White, Female, 0, 0, 30, United-States, <=50K
+43, Private, 172364, HS-grad, 9, Separated, Exec-managerial, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K
+52, Self-emp-not-inc, 138611, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 55, United-States, >50K
+50, Private, 176227, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, ?, >50K
+35, Private, 139647, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, >50K
+20, ?, 174461, HS-grad, 9, Never-married, ?, Own-child, White, Female, 0, 0, 5, United-States, <=50K
+73, ?, 123345, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 65, United-States, <=50K
+46, Private, 164427, HS-grad, 9, Divorced, Adm-clerical, Own-child, White, Female, 0, 0, 45, United-States, <=50K
+58, Private, 205235, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, >50K
+46, Self-emp-inc, 192779, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 60, United-States, >50K
+40, Private, 163434, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+25, Private, 264055, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 336215, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K
+33, Federal-gov, 78307, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+49, Federal-gov, 233059, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+62, Private, 91433, 10th, 6, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+56, Local-gov, 157525, Some-college, 10, Divorced, Protective-serv, Not-in-family, Black, Male, 0, 0, 48, United-States, <=50K
+24, Private, 86065, HS-grad, 9, Never-married, Transport-moving, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K
+42, Private, 22831, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+41, Private, 180181, Masters, 14, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+23, Private, 212617, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 66, Ecuador, <=50K
+22, ?, 125905, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 336793, Bachelors, 13, Never-married, Adm-clerical, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+42, Private, 314649, HS-grad, 9, Married-spouse-absent, Handlers-cleaners, Other-relative, Asian-Pac-Islander, Male, 0, 0, 40, ?, <=50K
+22, Private, 283969, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, Mexico, <=50K
+32, Self-emp-not-inc, 35595, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+25, Private, 410240, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+66, Private, 178120, 5th-6th, 3, Divorced, Priv-house-serv, Not-in-family, Black, Female, 0, 0, 15, United-States, <=50K
+26, State-gov, 294400, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 38, United-States, <=50K
+46, Private, 65353, Some-college, 10, Divorced, Transport-moving, Own-child, White, Male, 3325, 0, 55, United-States, <=50K
+55, Private, 189719, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+24, Private, 23438, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 178037, HS-grad, 9, Never-married, Sales, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 109815, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+31, Private, 197860, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 271933, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+54, Private, 141663, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 15, United-States, <=50K
+19, ?, 199609, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+56, Private, 92215, 9th, 5, Divorced, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, >50K
+47, Private, 93449, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 60, Japan, <=50K
+29, Private, 235393, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+53, Private, 151864, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 189277, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+50, ?, 204577, Bachelors, 13, Married-civ-spouse, ?, Husband, Black, Male, 0, 1902, 60, United-States, >50K
+42, Private, 344572, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, >50K
+21, Private, 265356, Some-college, 10, Never-married, Sales, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+36, Self-emp-inc, 166880, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 70, United-States, <=50K
+60, Private, 188650, 5th-6th, 3, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, ?, >50K
+69, Private, 213249, Assoc-voc, 11, Widowed, Sales, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K
+31, Private, 112627, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K
+48, Private, 125120, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 55, United-States, <=50K
+23, Private, 60409, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+24, Private, 243190, Assoc-acdm, 12, Separated, Craft-repair, Unmarried, Asian-Pac-Islander, Male, 8614, 0, 40, United-States, >50K
+47, Private, 583755, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, >50K
+36, Private, 68089, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K
+39, Private, 306646, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+22, Private, 186573, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Female, 0, 0, 46, United-States, <=50K
+27, Private, 279580, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 10520, 0, 45, United-States, >50K
+36, Private, 437909, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+54, Private, 420691, 1st-4th, 2, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+33, Federal-gov, 94193, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+42, Private, 154076, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 50, United-States, >50K
+52, Private, 145879, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 65, United-States, <=50K
+23, Private, 208946, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 32, United-States, <=50K
+33, Private, 231826, 1st-4th, 2, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+30, Private, 178587, Assoc-voc, 11, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K
+35, Private, 213208, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, Black, Male, 0, 0, 38, Jamaica, <=50K
+35, ?, 139770, Assoc-voc, 11, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 20, United-States, >50K
+27, Private, 153869, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 37, United-States, <=50K
+24, Private, 88676, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+44, Local-gov, 151089, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+62, Private, 138621, Assoc-voc, 11, Separated, Priv-house-serv, Not-in-family, Black, Female, 0, 0, 20, United-States, <=50K
+45, Private, 30457, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 40, United-States, >50K
+75, Self-emp-not-inc, 213349, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 20, United-States, <=50K
+47, Private, 192776, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K
+64, Private, 192884, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K
+54, Private, 103024, HS-grad, 9, Divorced, Tech-support, Not-in-family, White, Male, 0, 0, 42, United-States, >50K
+41, Federal-gov, 510072, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+33, Private, 178615, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 249956, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 10, United-States, <=50K
+51, Private, 177705, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, >50K
+45, Self-emp-inc, 121124, Prof-school, 15, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, >50K
+18, ?, 25837, 11th, 7, Never-married, ?, Own-child, White, Male, 0, 0, 72, United-States, <=50K
+43, Private, 557349, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, Yugoslavia, <=50K
+30, Private, 89735, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 1504, 40, United-States, <=50K
+32, Private, 222548, HS-grad, 9, Divorced, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+45, Private, 47314, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1902, 40, ?, >50K
+61, Private, 316359, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+21, Private, 200089, 1st-4th, 2, Married-civ-spouse, Other-service, Other-relative, White, Male, 0, 0, 40, England, <=50K
+56, Private, 271795, 11th, 7, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 49, United-States, <=50K
+28, Private, 31801, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 60, United-States, <=50K
+23, Private, 196508, Some-college, 10, Never-married, Handlers-cleaners, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+55, Private, 189933, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 84, United-States, <=50K
+27, ?, 501172, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 419, 20, Mexico, <=50K
+33, Private, 361497, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K
+22, Private, 150175, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+43, Local-gov, 155106, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+32, Self-emp-not-inc, 62272, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+38, Private, 189916, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, <=50K
+18, Private, 324011, 9th, 5, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+35, Private, 105803, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K
+67, ?, 53588, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+29, Private, 107998, HS-grad, 9, Divorced, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+19, Private, 340567, 1st-4th, 2, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 55, Mexico, <=50K
+39, Private, 167777, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K
+29, Private, 228860, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 50, United-States, >50K
+45, Self-emp-inc, 40666, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K
+44, Private, 277488, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 3103, 0, 40, United-States, >50K
+42, Local-gov, 195897, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 242984, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+52, Local-gov, 236497, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K
+18, ?, 312634, 11th, 7, Never-married, ?, Own-child, White, Male, 0, 0, 25, United-States, <=50K
+64, Private, 59829, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 25, France, <=50K
+30, Private, 24292, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K
+43, Local-gov, 180407, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 42, Germany, <=50K
+49, Self-emp-not-inc, 121238, Some-college, 10, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 281982, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+37, Self-emp-not-inc, 348739, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+49, Private, 194189, 7th-8th, 4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+19, Private, 329130, 11th, 7, Separated, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+22, Private, 205939, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 2202, 0, 4, United-States, <=50K
+31, Private, 62165, HS-grad, 9, Never-married, Other-service, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+26, Private, 224361, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+44, Private, 34722, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K
+38, Private, 175972, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K
+33, Self-emp-not-inc, 359428, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K
+24, ?, 138504, HS-grad, 9, Separated, ?, Unmarried, Black, Female, 0, 0, 37, United-States, <=50K
+18, Private, 268952, 12th, 8, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+32, Private, 257978, Assoc-voc, 11, Widowed, Tech-support, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+27, Private, 118799, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+28, State-gov, 78356, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, Jamaica, <=50K
+30, Self-emp-not-inc, 609789, Assoc-voc, 11, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 123157, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 38, United-States, <=50K
+74, Private, 84197, Masters, 14, Divorced, Sales, Not-in-family, White, Female, 0, 0, 10, United-States, <=50K
+36, Private, 162312, HS-grad, 9, Never-married, Craft-repair, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 70, South, <=50K
+36, Private, 138441, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 55, United-States, <=50K
+29, Private, 239753, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 2057, 20, United-States, <=50K
+39, Private, 262158, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 45, United-States, <=50K
+25, Self-emp-inc, 133373, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 80, United-States, <=50K
+21, Private, 57916, HS-grad, 9, Separated, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+39, State-gov, 142897, Assoc-voc, 11, Never-married, Exec-managerial, Unmarried, White, Female, 0, 0, 50, United-States, <=50K
+38, Private, 161016, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K
+20, Private, 227491, HS-grad, 9, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 25, United-States, <=50K
+51, Private, 306790, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 33831, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+36, Private, 188972, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+50, Private, 313546, HS-grad, 9, Separated, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+38, Private, 220585, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K
+25, Local-gov, 476599, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+23, Private, 163665, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+36, Private, 306646, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K
+41, Private, 206470, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, Germany, <=50K
+34, Private, 169583, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+19, State-gov, 127085, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 10, United-States, <=50K
+18, Private, 152044, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 0, 3, United-States, <=50K
+36, Private, 111387, 10th, 6, Divorced, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+46, Private, 102318, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1887, 40, United-States, >50K
+29, Private, 213692, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 45, United-States, <=50K
+23, Private, 163665, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K
+35, Private, 30529, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 290226, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 182136, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 73266, Some-college, 10, Never-married, Transport-moving, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K
+19, State-gov, 60412, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+70, Private, 187891, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 194304, Some-college, 10, Divorced, Transport-moving, Not-in-family, Black, Male, 0, 0, 55, United-States, <=50K
+35, Private, 160910, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K
+25, Private, 148300, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+39, Private, 165743, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K
+50, Private, 123174, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 37, ?, >50K
+43, Private, 184018, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K
+37, Federal-gov, 188069, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, Philippines, >50K
+51, Private, 138852, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 7298, 0, 40, El-Salvador, >50K
+29, ?, 78529, 10th, 6, Separated, ?, Unmarried, White, Female, 0, 0, 12, United-States, <=50K
+20, Private, 164441, HS-grad, 9, Never-married, Other-service, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+21, Private, 199419, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+47, Private, 181342, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Wife, Black, Female, 0, 0, 40, United-States, <=50K
+44, Private, 173382, Assoc-acdm, 12, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+17, Private, 184924, 9th, 5, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 1719, 15, United-States, <=50K
+25, Private, 215384, 11th, 7, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+43, State-gov, 424094, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+46, Federal-gov, 212120, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+42, Private, 185764, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 60, United-States, <=50K
+46, Local-gov, 133969, Masters, 14, Divorced, Prof-specialty, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K
+22, Private, 32616, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+49, Private, 149210, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+21, Private, 161210, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, <=50K
+53, Private, 285621, Masters, 14, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K
+43, Private, 282069, Some-college, 10, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 42, United-States, <=50K
+22, Private, 97508, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 50, United-States, <=50K
+33, Private, 356823, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 10520, 0, 45, United-States, >50K
+28, Private, 171133, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+25, Private, 231638, Some-college, 10, Never-married, Tech-support, Unmarried, White, Female, 0, 0, 24, United-States, <=50K
+40, Private, 191342, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 40, China, >50K
+50, Private, 226497, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 45, United-States, >50K
+48, Self-emp-not-inc, 373606, Some-college, 10, Divorced, Sales, Unmarried, White, Male, 0, 0, 65, United-States, >50K
+30, Private, 39150, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 288840, HS-grad, 9, Married-spouse-absent, Other-service, Unmarried, Black, Female, 0, 0, 38, United-States, <=50K
+34, Private, 293703, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K
+42, Private, 79586, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, >50K
+48, Self-emp-not-inc, 82098, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 65, United-States, <=50K
+38, Private, 245372, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 45, United-States, >50K
+29, Private, 78261, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 355996, 10th, 6, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+64, Private, 218490, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 27828, 0, 55, United-States, >50K
+44, Private, 110908, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Wife, White, Female, 0, 0, 25, United-States, <=50K
+42, Federal-gov, 34218, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 50, United-States, >50K
+49, Private, 248895, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, <=50K
+25, Private, 363707, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 272411, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+38, Private, 128033, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K
+20, Private, 177287, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K
+44, Private, 197344, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+45, Private, 285858, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K
+27, Self-emp-inc, 193868, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+18, Private, 232082, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 27408, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 50, United-States, <=50K
+45, Private, 247043, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 42, United-States, <=50K
+27, Local-gov, 162404, HS-grad, 9, Never-married, Protective-serv, Not-in-family, Black, Male, 2174, 0, 40, United-States, <=50K
+64, Private, 236341, 5th-6th, 3, Widowed, Other-service, Not-in-family, Black, Female, 0, 0, 16, United-States, <=50K
+66, Local-gov, 179285, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 3432, 0, 20, United-States, <=50K
+34, Private, 30433, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+45, Self-emp-not-inc, 102771, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K
+42, Self-emp-not-inc, 221172, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 108116, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 60, United-States, >50K
+26, Private, 375499, 10th, 6, Never-married, Adm-clerical, Not-in-family, Black, Male, 0, 0, 20, United-States, <=50K
+27, Private, 178688, Assoc-voc, 11, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 276709, Some-college, 10, Never-married, Sales, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+23, ?, 238087, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+47, Private, 84790, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+20, State-gov, 37482, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+46, State-gov, 178686, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 38, United-States, >50K
+35, ?, 153926, HS-grad, 9, Married-civ-spouse, ?, Wife, Black, Female, 0, 0, 40, United-States, <=50K
+55, Private, 110748, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 40, United-States, >50K
+28, Private, 116613, Some-college, 10, Never-married, Tech-support, Own-child, White, Female, 0, 0, 24, United-States, <=50K
+21, Private, 108687, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+36, Private, 365739, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 195284, Doctorate, 16, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 60, United-States, >50K
+38, Private, 125933, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, ?, >50K
+37, Private, 140854, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+81, Self-emp-not-inc, 193237, 1st-4th, 2, Widowed, Sales, Other-relative, White, Male, 0, 0, 45, Mexico, <=50K
+41, Private, 46870, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+29, Private, 351324, Bachelors, 13, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+30, Self-emp-not-inc, 189265, Assoc-acdm, 12, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+25, Private, 236564, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+42, Federal-gov, 557644, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+30, Private, 374454, HS-grad, 9, Divorced, Transport-moving, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+65, ?, 160654, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 20, United-States, <=50K
+18, Private, 122775, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+26, Private, 214413, 11th, 7, Never-married, Machine-op-inspct, Unmarried, White, Male, 6497, 0, 48, United-States, <=50K
+30, Private, 329425, Some-college, 10, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 48, United-States, <=50K
+61, Private, 178312, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 42, United-States, <=50K
+21, Private, 241951, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+53, Private, 130143, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, <=50K
+41, Self-emp-inc, 114580, Prof-school, 15, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 2415, 55, United-States, >50K
+43, Self-emp-inc, 130126, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 45, United-States, >50K
+60, Private, 399387, 7th-8th, 4, Separated, Priv-house-serv, Unmarried, Black, Female, 0, 0, 15, United-States, <=50K
+47, Private, 163814, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+48, Private, 69586, Some-college, 10, Divorced, Adm-clerical, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+32, Private, 237903, Bachelors, 13, Never-married, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+25, ?, 219897, Masters, 14, Never-married, ?, Not-in-family, White, Female, 0, 0, 35, Canada, <=50K
+31, Private, 243165, Bachelors, 13, Never-married, Prof-specialty, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+33, State-gov, 173806, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+27, Self-emp-not-inc, 65308, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K
+44, Private, 408531, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, >50K
+44, Private, 235786, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 45, United-States, >50K
+37, Private, 314963, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 81206, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+51, Federal-gov, 293196, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+51, Private, 95329, Masters, 14, Divorced, Protective-serv, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+25, Local-gov, 45474, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K
+25, Private, 372728, Bachelors, 13, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 24, Jamaica, <=50K
+29, Federal-gov, 116394, Bachelors, 13, Married-AF-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+36, Self-emp-not-inc, 34180, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 70, United-States, >50K
+55, Private, 327589, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+39, Private, 706180, Bachelors, 13, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+31, Private, 32550, 10th, 6, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 173858, Prof-school, 15, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male, 0, 0, 40, India, <=50K
+51, Self-emp-inc, 230095, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+30, Private, 139012, Assoc-voc, 11, Never-married, Adm-clerical, Other-relative, Asian-Pac-Islander, Male, 2463, 0, 40, Vietnam, <=50K
+62, Private, 174711, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K
+37, Private, 171150, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 99999, 0, 60, United-States, >50K
+30, Self-emp-inc, 77689, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 50, United-States, >50K
+27, Private, 193898, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 52, United-States, <=50K
+32, Private, 195000, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 45, United-States, >50K
+23, Private, 303121, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+35, Self-emp-not-inc, 188540, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+46, Private, 158656, Assoc-acdm, 12, Never-married, Prof-specialty, Unmarried, White, Female, 0, 0, 36, United-States, <=50K
+45, Self-emp-inc, 204196, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 50, United-States, >50K
+27, Private, 183802, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+46, Private, 148995, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+22, Private, 190903, 11th, 7, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 20, United-States, <=50K
+37, State-gov, 173780, Some-college, 10, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 30, United-States, <=50K
+42, Private, 251239, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, Puerto-Rico, <=50K
+45, Private, 112761, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+33, State-gov, 425785, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+46, Private, 197731, Assoc-voc, 11, Married-spouse-absent, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 119156, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 50, United-States, <=50K
+56, Private, 133819, HS-grad, 9, Separated, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+34, Private, 185556, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 12, United-States, >50K
+50, Private, 109277, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K
+48, Self-emp-inc, 36020, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+45, Private, 45857, 11th, 7, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 36, United-States, <=50K
+55, Private, 184882, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Husband, White, Male, 5178, 0, 50, United-States, >50K
+41, State-gov, 342834, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+66, Private, 234743, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 24, United-States, <=50K
+29, Federal-gov, 106179, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 1408, 40, United-States, <=50K
+37, Private, 177895, Some-college, 10, Married-civ-spouse, Tech-support, Wife, White, Female, 5013, 0, 40, United-States, <=50K
+63, ?, 257876, Prof-school, 15, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+61, Private, 86067, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 40, United-States, >50K
+64, Private, 66634, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Male, 27828, 0, 50, United-States, >50K
+35, Private, 138441, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 35, United-States, <=50K
+22, Private, 279802, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+58, Private, 407138, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 2936, 0, 50, Mexico, <=50K
+58, Private, 31732, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K
+24, Private, 204172, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 48, United-States, <=50K
+34, Private, 100593, Some-college, 10, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 6, United-States, <=50K
+33, Local-gov, 162623, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+33, Self-emp-not-inc, 80933, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K
+17, Private, 47425, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+27, Private, 107812, Bachelors, 13, Married-civ-spouse, Sales, Other-relative, White, Male, 0, 0, 40, United-States, >50K
+20, Self-emp-inc, 104443, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+52, Private, 117496, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 1755, 40, United-States, >50K
+30, Private, 209691, 7th-8th, 4, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 314525, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 190772, Assoc-acdm, 12, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+64, Local-gov, 199298, 5th-6th, 3, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 45, ?, <=50K
+49, Private, 187370, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K
+38, Private, 216129, Bachelors, 13, Divorced, Other-service, Not-in-family, Black, Female, 0, 0, 60, ?, <=50K
+46, Federal-gov, 219293, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 80, United-States, >50K
+17, Private, 136363, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+45, Private, 233799, 1st-4th, 2, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+27, Private, 207611, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+45, Self-emp-inc, 178344, Assoc-voc, 11, Divorced, Sales, Unmarried, White, Female, 0, 0, 30, United-States, <=50K
+26, Self-emp-inc, 187652, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 78, United-States, >50K
+23, Private, 188545, Assoc-acdm, 12, Never-married, Adm-clerical, Own-child, White, Female, 0, 1974, 20, United-States, <=50K
+44, Local-gov, 58124, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Male, 0, 0, 45, United-States, <=50K
+36, Private, 321733, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 1741, 40, United-States, <=50K
+35, Private, 206253, 9th, 5, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+24, ?, 152140, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 40, United-States, <=50K
+56, Private, 76281, Bachelors, 13, Married-spouse-absent, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+47, Private, 606752, Masters, 14, Divorced, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 29933, Bachelors, 13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 50, United-States, >50K
+29, Private, 114158, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 3325, 0, 10, United-States, <=50K
+55, ?, 227203, Assoc-acdm, 12, Married-spouse-absent, ?, Not-in-family, White, Female, 0, 0, 5, United-States, <=50K
+35, Self-emp-inc, 65624, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+37, Private, 34146, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 68, United-States, <=50K
+36, Self-emp-not-inc, 34378, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 3908, 0, 75, United-States, <=50K
+33, Private, 141490, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 45, United-States, <=50K
+34, Private, 199227, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+24, Private, 224954, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 231357, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+31, Self-emp-inc, 113530, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+38, Private, 22245, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 36383, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, Mexico, >50K
+35, Private, 320305, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 32, United-States, <=50K
+67, ?, 201657, Bachelors, 13, Divorced, ?, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K
+34, Private, 48935, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, <=50K
+46, Private, 101455, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K
+19, Local-gov, 243960, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 16, United-States, <=50K
+26, Private, 90915, Assoc-acdm, 12, Never-married, Other-service, Own-child, Black, Female, 0, 0, 15, United-States, <=50K
+28, Private, 315287, Some-college, 10, Never-married, Prof-specialty, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+47, Private, 106255, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+49, Local-gov, 215895, Masters, 14, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, Italy, >50K
+33, Self-emp-not-inc, 170979, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1887, 40, United-States, >50K
+44, Private, 210525, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+30, Private, 195488, HS-grad, 9, Never-married, Priv-house-serv, Own-child, White, Female, 0, 0, 40, Guatemala, <=50K
+18, Private, 152246, Some-college, 10, Never-married, Other-service, Own-child, Asian-Pac-Islander, Male, 0, 0, 16, United-States, <=50K
+60, Self-emp-not-inc, 187794, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 3103, 0, 60, United-States, >50K
+44, Private, 110396, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 14084, 0, 56, United-States, >50K
+81, ?, 89391, Prof-school, 15, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 24, United-States, >50K
+43, State-gov, 254817, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+35, Private, 41777, 12th, 8, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K
+58, Self-emp-not-inc, 234841, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 72, United-States, <=50K
+32, Private, 79586, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, India, <=50K
+40, Private, 115331, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 35, United-States, <=50K
+32, Private, 63564, HS-grad, 9, Never-married, Other-service, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+21, Private, 132053, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 1721, 35, United-States, <=50K
+44, Private, 370502, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 25, Mexico, <=50K
+33, Private, 59083, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 1902, 45, United-States, >50K
+25, Private, 69413, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+42, Private, 32981, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 176683, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+62, ?, 144116, 10th, 6, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+31, Self-emp-not-inc, 209213, HS-grad, 9, Never-married, Sales, Not-in-family, Black, Male, 0, 0, 40, ?, <=50K
+33, State-gov, 150657, Bachelors, 13, Never-married, Prof-specialty, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K
+50, Self-emp-not-inc, 124793, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K
+50, Private, 22211, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 50, United-States, >50K
+46, Private, 270565, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K
+22, Private, 38251, Assoc-acdm, 12, Never-married, Other-service, Unmarried, White, Female, 0, 0, 35, United-States, <=50K
+66, State-gov, 162945, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 20051, 0, 55, United-States, >50K
+52, Private, 195638, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 45, United-States, <=50K
+57, Self-emp-not-inc, 118806, 1st-4th, 2, Widowed, Craft-repair, Other-relative, White, Female, 0, 1602, 45, Columbia, <=50K
+41, Self-emp-not-inc, 44006, Assoc-voc, 11, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+42, Private, 119679, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 1579, 42, United-States, <=50K
+19, Private, 333953, 12th, 8, Never-married, Other-service, Other-relative, White, Female, 0, 0, 30, United-States, <=50K
+45, Local-gov, 172111, Bachelors, 13, Divorced, Exec-managerial, Unmarried, Black, Female, 0, 0, 60, United-States, <=50K
+51, Self-emp-not-inc, 32372, 12th, 8, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 99, United-States, <=50K
+69, ?, 117525, Assoc-acdm, 12, Divorced, ?, Unmarried, White, Female, 0, 0, 1, United-States, <=50K
+45, Self-emp-not-inc, 123681, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 30, United-States, <=50K
+48, Private, 317360, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+60, Federal-gov, 119832, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 7298, 0, 40, United-States, >50K
+42, Private, 135056, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+19, State-gov, 135162, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 10, United-States, <=50K
+39, Self-emp-not-inc, 194004, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 70, United-States, <=50K
+46, Private, 177633, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, >50K
+58, Local-gov, 212864, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 3908, 0, 40, United-States, <=50K
+36, Private, 30509, Some-college, 10, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 45, United-States, <=50K
+21, Private, 118712, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 35, United-States, <=50K
+41, Private, 199018, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+17, Private, 151799, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+29, Private, 181280, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+52, Private, 232024, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K
+33, Private, 226267, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+38, Private, 240467, Masters, 14, Never-married, Exec-managerial, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K
+42, Private, 154374, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+24, State-gov, 231473, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 30, United-States, <=50K
+59, Private, 158813, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K
+36, Private, 346478, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 2415, 45, United-States, >50K
+54, Private, 215990, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 7688, 0, 40, United-States, >50K
+39, Private, 177154, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 50, United-States, >50K
+42, Self-emp-not-inc, 238188, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 96, United-States, <=50K
+54, Self-emp-not-inc, 156800, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+26, Private, 130620, Assoc-acdm, 12, Married-spouse-absent, Craft-repair, Other-relative, Asian-Pac-Islander, Female, 0, 0, 40, ?, <=50K
+50, Private, 175339, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K
+42, Private, 37937, Assoc-voc, 11, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 45, United-States, <=50K
+48, Federal-gov, 166634, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 7688, 0, 40, United-States, >50K
+31, Private, 221167, Bachelors, 13, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+56, Private, 179641, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+28, Local-gov, 213195, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K
+34, Private, 157747, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, >50K
+28, Private, 227840, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+41, Private, 169104, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, ?, >50K
+44, Private, 186916, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1887, 60, United-States, >50K
+34, Private, 37646, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 65, United-States, <=50K
+26, Private, 157028, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 55, United-States, >50K
+37, Private, 188774, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 2824, 40, United-States, >50K
+64, ?, 146272, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 3411, 0, 15, United-States, <=50K
+25, Private, 182656, Assoc-voc, 11, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+48, Self-emp-not-inc, 200471, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+47, Private, 358465, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+17, Private, 78602, 11th, 7, Never-married, Other-service, Other-relative, White, Female, 0, 0, 20, United-States, <=50K
+44, Private, 213416, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+46, Local-gov, 345911, Some-college, 10, Divorced, Transport-moving, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+32, ?, 119522, Bachelors, 13, Divorced, ?, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+42, Federal-gov, 126320, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+33, Self-emp-not-inc, 235271, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, >50K
+61, Private, 141745, HS-grad, 9, Divorced, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+47, Private, 359461, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 109351, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 8614, 0, 45, United-States, >50K
+62, Private, 148113, 10th, 6, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+62, Self-emp-not-inc, 75478, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 100375, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 60, United-States, >50K
+19, ?, 28455, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+33, Private, 231413, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+39, Local-gov, 119421, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 42, United-States, <=50K
+17, Private, 206998, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 10, United-States, <=50K
+58, Private, 183810, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+35, Self-emp-inc, 187053, Bachelors, 13, Separated, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+34, Local-gov, 155781, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 4064, 0, 50, United-States, <=50K
+55, ?, 193895, 7th-8th, 4, Divorced, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+32, Private, 48520, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+19, Self-emp-inc, 170125, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+41, Private, 107584, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 196742, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+52, ?, 244214, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 35, United-States, <=50K
+48, Local-gov, 127921, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 42617, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+47, Local-gov, 191389, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 35, United-States, <=50K
+38, Private, 187983, Prof-school, 15, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, <=50K
+18, Private, 215110, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+25, Private, 230292, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 90159, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 32, United-States, >50K
+40, Private, 175398, Assoc-voc, 11, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+56, Self-emp-not-inc, 53366, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 20, United-States, <=50K
+50, Private, 46155, Assoc-voc, 11, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, >50K
+55, Private, 61708, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 6418, 0, 50, United-States, >50K
+32, Local-gov, 112650, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K
+41, Private, 173682, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 43, United-States, >50K
+28, Private, 160981, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 52, United-States, <=50K
+53, Private, 72257, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, <=50K
+26, ?, 182332, Assoc-voc, 11, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 40, United-States, <=50K
+60, Local-gov, 48788, Bachelors, 13, Separated, Prof-specialty, Unmarried, White, Female, 5455, 0, 55, United-States, <=50K
+21, Private, 417668, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+29, Private, 107458, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+73, Private, 147551, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2174, 50, United-States, >50K
+43, Self-emp-inc, 33729, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K
+45, Private, 101977, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K
+35, ?, 374716, 9th, 5, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 35, United-States, <=50K
+36, Private, 214378, HS-grad, 9, Divorced, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, >50K
+25, Private, 111243, HS-grad, 9, Never-married, Sales, Other-relative, White, Female, 0, 0, 50, United-States, <=50K
+38, Private, 252947, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+30, Local-gov, 118500, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+49, Private, 195612, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 40, United-States, >50K
+41, Local-gov, 174575, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 190391, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+64, Private, 166715, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 20, United-States, <=50K
+41, Self-emp-not-inc, 142725, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K
+37, Private, 73471, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 47, United-States, >50K
+51, Private, 241745, 5th-6th, 3, Separated, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K
+35, Private, 316141, Some-college, 10, Divorced, Prof-specialty, Unmarried, White, Female, 7443, 0, 40, United-States, <=50K
+61, Local-gov, 248595, 1st-4th, 2, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+52, Private, 90189, 7th-8th, 4, Divorced, Priv-house-serv, Own-child, Black, Female, 0, 0, 16, United-States, <=50K
+40, Private, 205195, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K
+20, Private, 148940, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+52, Local-gov, 298035, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+50, Private, 154728, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K
+49, Private, 166809, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, >50K
+36, State-gov, 97136, Bachelors, 13, Never-married, Prof-specialty, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+33, Private, 347623, Masters, 14, Never-married, Exec-managerial, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 117917, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male, 0, 0, 50, United-States, <=50K
+45, Private, 266860, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+22, Private, 71864, Some-college, 10, Never-married, Craft-repair, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+47, Private, 158451, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 2, United-States, >50K
+24, Private, 229826, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+19, Private, 121788, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+40, Private, 151365, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+40, Private, 360884, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 50, United-States, >50K
+54, Private, 36480, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 50, United-States, >50K
+43, Self-emp-not-inc, 116666, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Other, Male, 0, 0, 35, United-States, >50K
+63, Local-gov, 214143, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, Cuba, <=50K
+18, Private, 45316, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+19, Private, 311974, 1st-4th, 2, Never-married, Machine-op-inspct, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K
+49, Self-emp-not-inc, 48495, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K
+27, Private, 115945, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+49, Local-gov, 170846, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+60, Private, 142922, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+71, ?, 181301, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 286675, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 233168, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 46, United-States, >50K
+30, Private, 177304, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 44, United-States, <=50K
+46, Private, 336984, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 17, United-States, <=50K
+32, Self-emp-not-inc, 379412, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 180778, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 75, United-States, <=50K
+25, Private, 141876, Masters, 14, Never-married, Prof-specialty, Unmarried, White, Male, 0, 0, 45, ?, <=50K
+22, Private, 228306, Some-college, 10, Married-AF-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, >50K
+32, Private, 329993, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K
+40, Private, 247469, Doctorate, 16, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 30, United-States, >50K
+51, Private, 673764, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 27828, 0, 40, United-States, >50K
+20, Private, 155775, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+34, Private, 81223, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K
+40, Private, 236021, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+34, State-gov, 103371, Assoc-voc, 11, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+19, Private, 199480, 10th, 6, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 25, United-States, <=50K
+53, Private, 152657, 10th, 6, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+42, Federal-gov, 460214, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+38, Private, 91039, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 65, United-States, >50K
+41, Private, 197372, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, >50K
+64, ?, 267198, Prof-school, 15, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 16, United-States, <=50K
+30, State-gov, 111883, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 66917, 11th, 7, Married-civ-spouse, Farming-fishing, Own-child, White, Male, 0, 0, 40, Mexico, <=50K
+19, Private, 292583, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+20, Private, 391679, HS-grad, 9, Never-married, Sales, Other-relative, White, Male, 0, 0, 60, United-States, <=50K
+35, Private, 475324, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K
+33, Self-emp-not-inc, 218164, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+43, Self-emp-not-inc, 101534, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 15, United-States, >50K
+38, Federal-gov, 65706, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 38, United-States, <=50K
+50, Self-emp-not-inc, 156606, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 30, United-States, <=50K
+23, Private, 200967, HS-grad, 9, Divorced, Other-service, Own-child, White, Female, 0, 0, 10, United-States, <=50K
+30, Local-gov, 164493, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 10, United-States, <=50K
+33, Private, 547886, Bachelors, 13, Separated, Exec-managerial, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+48, Private, 232145, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+43, Private, 96421, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 24, Outlying-US(Guam-USVI-etc), <=50K
+33, Private, 554206, Some-college, 10, Never-married, Tech-support, Not-in-family, Black, Male, 0, 0, 40, Philippines, <=50K
+50, Local-gov, 234143, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 45, United-States, >50K
+23, Private, 380544, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+36, Local-gov, 103886, Some-college, 10, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+50, State-gov, 54709, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 46, United-States, <=50K
+26, Private, 276548, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 20, United-States, <=50K
+55, Local-gov, 176046, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 2267, 40, United-States, <=50K
+37, Private, 114605, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K
+43, Private, 323713, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+38, Self-emp-not-inc, 261382, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+42, Private, 223548, 7th-8th, 4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 30, Mexico, <=50K
+47, Self-emp-not-inc, 355978, Doctorate, 16, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 2002, 45, United-States, <=50K
+44, Private, 107218, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K
+28, Self-emp-not-inc, 31717, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+51, Private, 328947, Some-college, 10, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+51, Private, 148431, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+49, Private, 121602, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+62, Private, 244087, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 50, United-States, >50K
+31, Private, 83425, Some-college, 10, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+29, Private, 157308, 11th, 7, Married-civ-spouse, Handlers-cleaners, Wife, Asian-Pac-Islander, Female, 2829, 0, 14, Philippines, <=50K
+23, Private, 57898, Some-college, 10, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+40, State-gov, 175304, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+66, Self-emp-inc, 102663, 7th-8th, 4, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K
+17, Private, 99175, 11th, 7, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+37, Private, 208358, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+69, Private, 361561, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 3, United-States, <=50K
+23, Private, 215115, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+38, Federal-gov, 207066, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 42, United-States, >50K
+37, Federal-gov, 160910, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 64879, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+38, Private, 430035, 9th, 5, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 54, Mexico, <=50K
+37, State-gov, 74163, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+37, Self-emp-inc, 98389, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+23, Private, 386019, 9th, 5, Never-married, Farming-fishing, Unmarried, White, Male, 0, 0, 70, United-States, <=50K
+17, Private, 112795, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+48, Private, 332465, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, <=50K
+17, Private, 38611, 11th, 7, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 23, United-States, <=50K
+55, Private, 368797, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 60, United-States, >50K
+35, Private, 24106, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+68, ?, 108683, Some-college, 10, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 12, United-States, >50K
+35, Self-emp-not-inc, 241998, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+53, Private, 312446, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K
+43, Private, 69333, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, <=50K
+36, Private, 172538, Masters, 14, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 275884, HS-grad, 9, Separated, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+45, Private, 43479, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 48, United-States, <=50K
+34, Private, 199864, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 2057, 40, United-States, <=50K
+56, Private, 235197, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K
+36, Private, 170376, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K
+22, Private, 325179, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 50, United-States, <=50K
+19, ?, 351195, 9th, 5, Never-married, ?, Other-relative, White, Male, 0, 1719, 35, El-Salvador, <=50K
+33, Private, 141841, HS-grad, 9, Never-married, Other-service, Own-child, Black, Male, 0, 0, 36, United-States, <=50K
+48, Private, 207817, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 32, Columbia, <=50K
+20, Private, 137974, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+64, Self-emp-inc, 161325, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 1887, 50, United-States, >50K
+47, Private, 293623, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Dominican-Republic, <=50K
+20, Private, 37783, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K
+44, Federal-gov, 308027, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+45, Self-emp-not-inc, 149218, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 77, United-States, <=50K
+45, Local-gov, 374450, HS-grad, 9, Married-civ-spouse, Transport-moving, Wife, White, Female, 5178, 0, 40, United-States, >50K
+45, Local-gov, 61885, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 37, United-States, >50K
+27, State-gov, 291196, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+41, Private, 45366, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 72, United-States, >50K
+20, Private, 203027, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K
+54, Self-emp-inc, 223752, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 40, ?, >50K
+17, Private, 132680, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 1602, 10, United-States, <=50K
+50, Private, 155574, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+31, State-gov, 193565, Masters, 14, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+49, Self-emp-not-inc, 123598, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+44, Private, 456236, Masters, 14, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+49, Private, 163229, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+28, Local-gov, 419740, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 52, United-States, <=50K
+43, Local-gov, 118853, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 4386, 0, 99, United-States, >50K
+33, Private, 31449, Assoc-acdm, 12, Divorced, Machine-op-inspct, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K
+35, Private, 204163, Some-college, 10, Divorced, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 55, United-States, <=50K
+17, Private, 177629, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+25, Private, 186370, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+41, Private, 188307, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+30, Private, 55481, Masters, 14, Never-married, Tech-support, Unmarried, White, Male, 0, 0, 45, Nicaragua, <=50K
+48, Private, 119471, Assoc-voc, 11, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 56, Philippines, >50K
+61, Local-gov, 167347, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 35, United-States, <=50K
+41, Private, 184378, HS-grad, 9, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 348960, HS-grad, 9, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+24, Local-gov, 69640, Some-college, 10, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 297457, HS-grad, 9, Never-married, Adm-clerical, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+18, Private, 279593, 11th, 7, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 2, United-States, <=50K
+20, Private, 211968, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+18, Private, 194561, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 12, United-States, <=50K
+23, Private, 140414, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+43, State-gov, 24763, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1887, 45, United-States, >50K
+38, State-gov, 462832, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, Black, Female, 0, 0, 40, Trinadad&Tobago, <=50K
+36, Private, 48972, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+28, Self-emp-not-inc, 35032, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+47, Private, 228583, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, ?, <=50K
+51, Private, 392668, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 84, United-States, >50K
+35, Private, 108140, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+38, State-gov, 112497, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 60, United-States, <=50K
+47, Federal-gov, 142581, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, >50K
+26, Private, 147982, 11th, 7, Divorced, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+31, State-gov, 440129, Some-college, 10, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+46, Private, 200734, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 35, Trinadad&Tobago, <=50K
+49, Private, 31807, Some-college, 10, Never-married, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+19, Private, 166153, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+45, Self-emp-inc, 212954, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K
+46, Private, 52291, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 45, United-States, >50K
+70, Self-emp-not-inc, 303588, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 20, United-States, <=50K
+19, Private, 96176, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+46, Private, 184632, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+20, Private, 137618, Some-college, 10, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+17, Private, 160029, 11th, 7, Never-married, Other-service, Other-relative, White, Female, 0, 0, 22, United-States, <=50K
+43, Private, 178780, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 49, United-States, >50K
+19, Private, 39756, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+37, Private, 35309, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+51, Private, 117253, HS-grad, 9, Widowed, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+40, Local-gov, 303212, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+24, Private, 214542, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 60, Canada, <=50K
+31, Private, 342019, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+59, Private, 126668, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 5178, 0, 50, United-States, >50K
+27, Private, 401508, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+40, Private, 25005, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 99, United-States, >50K
+30, Self-emp-not-inc, 85708, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 115677, Assoc-acdm, 12, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 32, United-States, <=50K
+25, Private, 144259, HS-grad, 9, Never-married, Craft-repair, Own-child, Black, Male, 0, 0, 50, United-States, <=50K
+22, Private, 197583, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+21, State-gov, 142766, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+67, ?, 132626, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 6, United-States, <=50K
+35, Self-emp-inc, 185621, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 60, United-States, >50K
+54, Local-gov, 29887, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 56, United-States, <=50K
+36, Private, 117381, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 211482, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+32, Federal-gov, 90653, HS-grad, 9, Never-married, Exec-managerial, Unmarried, White, Female, 0, 1380, 40, United-States, <=50K
+55, Private, 209535, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+56, Federal-gov, 187873, Masters, 14, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+19, Private, 174732, Some-college, 10, Never-married, Other-service, Own-child, Black, Male, 0, 0, 25, United-States, <=50K
+36, Private, 297847, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Female, 0, 2001, 40, United-States, <=50K
+58, Private, 110213, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, >50K
+35, Private, 162601, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+44, Private, 108438, 10th, 6, Separated, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+40, Self-emp-inc, 132222, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+18, Private, 174394, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+71, Self-emp-not-inc, 322789, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, Amer-Indian-Eskimo, Male, 0, 0, 35, United-States, <=50K
+51, Federal-gov, 72436, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 57, United-States, >50K
+27, ?, 60726, HS-grad, 9, Never-married, ?, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+20, Private, 190273, 12th, 8, Never-married, Other-service, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+33, ?, 393376, 11th, 7, Never-married, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+34, Private, 140571, Assoc-voc, 11, Divorced, Tech-support, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+28, Private, 584790, Assoc-voc, 11, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, >50K
+23, Private, 197666, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 24, Greece, <=50K
+36, Private, 245090, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 3137, 0, 50, El-Salvador, <=50K
+42, Private, 192569, Prof-school, 15, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 39, United-States, >50K
+31, Local-gov, 158291, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Male, 8614, 0, 40, United-States, >50K
+19, ?, 113915, HS-grad, 9, Never-married, ?, Own-child, Black, Male, 0, 0, 10, United-States, <=50K
+38, Local-gov, 287658, Masters, 14, Divorced, Prof-specialty, Not-in-family, Black, Male, 0, 0, 40, Jamaica, <=50K
+22, Private, 192455, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+36, Private, 317040, Assoc-voc, 11, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 54, United-States, <=50K
+36, Private, 218689, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 1977, 50, United-States, >50K
+17, Private, 116626, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 1719, 18, United-States, <=50K
+30, Federal-gov, 48458, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+35, Self-emp-not-inc, 241469, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 2635, 0, 30, United-States, <=50K
+32, Private, 167990, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 14084, 0, 40, United-States, >50K
+42, Private, 261929, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 40, United-States, >50K
+54, Private, 425804, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, >50K
+36, Private, 33394, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1887, 35, United-States, >50K
+58, Private, 72812, 10th, 6, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+39, Private, 89040, Assoc-voc, 11, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+62, Local-gov, 164518, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K
+51, Private, 182740, HS-grad, 9, Divorced, Prof-specialty, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+52, Private, 361875, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+25, Private, 197130, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+26, Private, 340335, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+26, Private, 293984, 10th, 6, Married-civ-spouse, Craft-repair, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+59, State-gov, 261584, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, Black, Female, 0, 0, 40, Outlying-US(Guam-USVI-etc), <=50K
+21, Private, 170302, HS-grad, 9, Never-married, Farming-fishing, Other-relative, White, Male, 0, 0, 50, United-States, <=50K
+45, Private, 481987, Masters, 14, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 18, United-States, >50K
+26, Private, 88449, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 36, United-States, <=50K
+68, Self-emp-not-inc, 261897, 10th, 6, Widowed, Farming-fishing, Unmarried, White, Male, 0, 0, 20, United-States, <=50K
+60, Private, 250552, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, >50K
+65, Private, 88513, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 18, United-States, <=50K
+41, Private, 168293, Masters, 14, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 45, United-States, <=50K
+34, Private, 283921, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K
+28, Private, 407043, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+40, Private, 63745, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+57, Private, 49893, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K
+37, Private, 241962, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+34, Private, 338416, 10th, 6, Divorced, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 60, United-States, <=50K
+21, ?, 212888, 11th, 7, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 56, United-States, <=50K
+57, Federal-gov, 310320, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 48, United-States, >50K
+55, Private, 359972, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 40, United-States, >50K
+51, Private, 64643, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 60, ?, <=50K
+56, Private, 125000, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+32, Private, 286675, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+18, Private, 165532, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 15, United-States, <=50K
+48, Private, 349986, Assoc-voc, 11, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+46, Private, 213140, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, ?, >50K
+41, Federal-gov, 219155, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, India, >50K
+33, Private, 183612, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 20, United-States, <=50K
+33, Private, 391114, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+47, Private, 219632, 5th-6th, 3, Married-spouse-absent, Machine-op-inspct, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K
+46, Self-emp-inc, 320124, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, Amer-Indian-Eskimo, Female, 15024, 0, 40, United-States, >50K
+40, Private, 799281, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 38, United-States, <=50K
+42, Private, 657397, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+31, State-gov, 373432, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 55, United-States, >50K
+51, Private, 168660, 11th, 7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+44, Private, 191149, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 57, United-States, <=50K
+37, Private, 356824, HS-grad, 9, Separated, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+25, Private, 191782, 11th, 7, Never-married, Machine-op-inspct, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+63, Self-emp-not-inc, 29859, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 7688, 0, 60, United-States, >50K
+52, Private, 204226, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+42, Local-gov, 246862, Some-college, 10, Divorced, Tech-support, Not-in-family, White, Female, 3325, 0, 40, United-States, <=50K
+28, Private, 496526, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+30, Private, 426431, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 10520, 0, 40, United-States, >50K
+34, Private, 84154, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K
+37, Federal-gov, 45937, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K
+31, Private, 130021, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, <=50K
+35, Private, 63021, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+25, Private, 367306, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+38, Private, 65624, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+43, Self-emp-not-inc, 144928, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+22, Private, 117747, Some-college, 10, Never-married, Craft-repair, Other-relative, Asian-Pac-Islander, Female, 0, 0, 40, Vietnam, <=50K
+18, Private, 266681, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+26, Private, 152035, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+36, Private, 190023, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, >50K
+43, Private, 233130, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K
+21, Private, 149637, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K
+62, Federal-gov, 224277, Some-college, 10, Widowed, Protective-serv, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+26, Private, 121559, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+54, Self-emp-not-inc, 230951, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+18, Private, 345285, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+65, Self-emp-not-inc, 28367, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K
+41, Private, 320744, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 3325, 0, 50, United-States, <=50K
+31, Private, 243773, 9th, 5, Never-married, Other-service, Unmarried, White, Female, 0, 0, 20, United-States, <=50K
+56, Private, 151474, 9th, 5, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+50, Private, 135465, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+22, Private, 210781, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+36, Local-gov, 359001, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 48, United-States, <=50K
+48, Private, 119471, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, India, >50K
+30, Private, 226396, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 30, United-States, <=50K
+35, Private, 283122, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 45, United-States, <=50K
+37, Self-emp-not-inc, 326400, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 30, United-States, <=50K
+32, ?, 169186, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 5, United-States, <=50K
+56, Private, 158752, Masters, 14, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 50, United-States, <=50K
+29, ?, 208406, HS-grad, 9, Never-married, ?, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+41, Private, 96741, Assoc-acdm, 12, Divorced, Sales, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+38, State-gov, 255191, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 177733, 9th, 5, Separated, Machine-op-inspct, Unmarried, White, Female, 0, 0, 35, Dominican-Republic, <=50K
+54, State-gov, 137815, 12th, 8, Never-married, Other-service, Own-child, White, Male, 4101, 0, 40, United-States, <=50K
+36, ?, 187203, Assoc-voc, 11, Divorced, ?, Own-child, White, Male, 0, 0, 50, United-States, <=50K
+42, Private, 168515, Assoc-voc, 11, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+33, Private, 122672, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K
+21, Private, 195199, HS-grad, 9, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+69, Local-gov, 179813, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 10, United-States, <=50K
+32, Private, 178623, Assoc-acdm, 12, Never-married, Sales, Not-in-family, Black, Female, 0, 0, 46, Trinadad&Tobago, <=50K
+50, Private, 41890, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 373050, 12th, 8, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, ?, <=50K
+45, Private, 80430, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+31, Private, 198613, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 35, United-States, <=50K
+24, Private, 330571, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, <=50K
+28, Private, 209205, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 60, United-States, >50K
+21, Private, 132243, Assoc-acdm, 12, Never-married, Other-service, Own-child, White, Female, 0, 0, 5, United-States, <=50K
+43, Self-emp-not-inc, 237670, Assoc-voc, 11, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K
+22, Private, 193586, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K
+62, Self-emp-not-inc, 197353, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1740, 40, United-States, <=50K
+21, Self-emp-not-inc, 74538, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K
+37, Private, 89718, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K
+34, Private, 93169, Some-college, 10, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+74, Self-emp-not-inc, 292915, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1825, 12, United-States, >50K
+43, Private, 328570, Some-college, 10, Divorced, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 38, United-States, <=50K
+25, Private, 312157, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+43, Private, 193459, 11th, 7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 236804, 11th, 7, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 126223, HS-grad, 9, Separated, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+51, State-gov, 172281, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 35, United-States, >50K
+64, Private, 153894, Bachelors, 13, Never-married, Sales, Unmarried, White, Female, 0, 0, 40, Peru, <=50K
+35, Private, 331395, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+69, Self-emp-not-inc, 92472, 10th, 6, Married-spouse-absent, Farming-fishing, Not-in-family, White, Male, 3273, 0, 45, United-States, <=50K
+32, Private, 318647, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 48, United-States, >50K
+20, Private, 332931, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+66, Self-emp-inc, 76212, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K
+31, Private, 301168, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Italy, <=50K
+22, Private, 440969, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 24, United-States, <=50K
+32, Private, 154950, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 218343, Assoc-acdm, 12, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+21, Private, 239577, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 247936, HS-grad, 9, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female, 0, 0, 2, Taiwan, <=50K
+62, Local-gov, 203525, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 2829, 0, 40, United-States, <=50K
+24, Private, 182342, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+45, Private, 25649, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 7298, 0, 50, United-States, >50K
+27, Private, 243569, 11th, 7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 3942, 0, 40, United-States, <=50K
+38, Private, 187870, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2415, 90, United-States, >50K
+20, ?, 289116, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 5, United-States, <=50K
+30, Private, 487330, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 30, United-States, <=50K
+17, ?, 34019, 10th, 6, Never-married, ?, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+17, ?, 250541, 11th, 7, Never-married, ?, Own-child, Black, Male, 0, 0, 8, United-States, <=50K
+21, Self-emp-not-inc, 318987, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K
+56, Self-emp-not-inc, 140558, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+59, Local-gov, 303455, Masters, 14, Widowed, Prof-specialty, Unmarried, White, Female, 4787, 0, 60, United-States, >50K
+37, Self-emp-not-inc, 76855, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+52, Private, 308764, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+50, Federal-gov, 339905, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+55, Private, 227856, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 60, United-States, >50K
+55, Private, 156430, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+45, ?, 98265, HS-grad, 9, Divorced, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+72, Private, 116640, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 3471, 0, 20, United-States, <=50K
+39, Private, 187167, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+28, Private, 184078, 12th, 8, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+38, Private, 108140, Bachelors, 13, Divorced, Tech-support, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+44, Private, 150533, Some-college, 10, Separated, Craft-repair, Not-in-family, White, Male, 0, 1876, 55, United-States, <=50K
+51, Self-emp-not-inc, 313702, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 39803, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 1719, 36, United-States, <=50K
+25, Private, 252752, Some-college, 10, Never-married, Transport-moving, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+52, Private, 111700, Some-college, 10, Divorced, Sales, Other-relative, White, Female, 0, 0, 20, United-States, >50K
+45, Private, 361842, HS-grad, 9, Widowed, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+17, Private, 231438, 11th, 7, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 12, United-States, <=50K
+20, Private, 178469, HS-grad, 9, Never-married, Other-service, Own-child, Asian-Pac-Islander, Female, 0, 0, 15, ?, <=50K
+64, Local-gov, 116620, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 25, United-States, <=50K
+34, Private, 112212, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 1485, 40, United-States, <=50K
+74, Self-emp-not-inc, 109101, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 4, United-States, <=50K
+58, Federal-gov, 72998, 11th, 7, Divorced, Craft-repair, Not-in-family, Black, Female, 14084, 0, 40, United-States, >50K
+44, Private, 147265, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+23, State-gov, 314645, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K
+23, Private, 444554, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 50, United-States, <=50K
+27, Private, 129629, Assoc-voc, 11, Never-married, Tech-support, Other-relative, White, Female, 0, 0, 36, United-States, <=50K
+34, Private, 106761, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K
+18, Private, 189924, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 24, United-States, <=50K
+33, Private, 311194, 11th, 7, Never-married, Sales, Unmarried, Black, Female, 0, 0, 17, United-States, <=50K
+50, Self-emp-not-inc, 89737, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, <=50K
+47, Private, 49298, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+50, Self-emp-inc, 190333, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 55, United-States, >50K
+18, Private, 251923, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+49, Local-gov, 298445, Prof-school, 15, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1977, 60, United-States, >50K
+34, Private, 180284, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 50, United-States, <=50K
+51, Private, 154342, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 45, United-States, >50K
+56, State-gov, 68658, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+64, Private, 203783, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 8, United-States, <=50K
+23, Private, 250037, Some-college, 10, Never-married, Farming-fishing, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+33, Private, 158688, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+43, Private, 214781, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K
+60, Federal-gov, 404023, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 10520, 0, 40, United-States, >50K
+57, State-gov, 109015, 12th, 8, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+22, Private, 194630, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+23, Private, 239375, Bachelors, 13, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+54, Private, 35576, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 2415, 50, United-States, >50K
+39, Federal-gov, 363630, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 7688, 0, 52, United-States, >50K
+32, Self-emp-not-inc, 182926, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 117222, Some-college, 10, Never-married, Tech-support, Own-child, White, Male, 0, 0, 15, United-States, <=50K
+30, Private, 110643, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 52, United-States, <=50K
+56, Self-emp-not-inc, 170217, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 45, United-States, <=50K
+34, Private, 193285, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 161075, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+59, Private, 322691, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+19, Private, 229431, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 11, United-States, <=50K
+60, ?, 106282, 9th, 5, Widowed, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+29, Private, 105694, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 42, United-States, <=50K
+24, Private, 199883, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K
+41, State-gov, 100800, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+23, Private, 256278, 7th-8th, 4, Married-civ-spouse, Handlers-cleaners, Other-relative, Other, Female, 0, 0, 30, El-Salvador, <=50K
+32, Private, 156464, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 1902, 50, United-States, >50K
+51, Self-emp-inc, 129525, HS-grad, 9, Never-married, Sales, Other-relative, White, Male, 0, 0, 40, ?, <=50K
+18, Private, 285013, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 10, United-States, <=50K
+28, Private, 248911, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, ?, <=50K
+33, ?, 369386, Some-college, 10, Married-civ-spouse, ?, Wife, White, Female, 5178, 0, 40, United-States, >50K
+38, Private, 219902, HS-grad, 9, Separated, Transport-moving, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K
+29, Private, 375482, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, England, <=50K
+25, Private, 169124, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K
+31, Private, 183000, Prof-school, 15, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K
+34, Private, 28053, Bachelors, 13, Married-spouse-absent, Adm-clerical, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K
+34, Private, 242984, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 45, United-States, >50K
+66, State-gov, 132055, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1825, 40, United-States, >50K
+41, Private, 212894, 5th-6th, 3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Guatemala, <=50K
+62, Private, 223975, 7th-8th, 4, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 20, United-States, <=50K
+58, Private, 357788, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+40, Private, 406811, HS-grad, 9, Separated, Exec-managerial, Unmarried, White, Female, 0, 0, 40, Canada, <=50K
+24, Private, 154422, Bachelors, 13, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K
+47, Private, 140644, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+19, Private, 355477, HS-grad, 9, Never-married, Other-service, Own-child, Black, Male, 0, 0, 25, United-States, <=50K
+32, Private, 151773, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+51, State-gov, 341548, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+25, Private, 512771, 9th, 5, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K
+60, ?, 141580, Masters, 14, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 48988, Some-college, 10, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 201022, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 50, United-States, >50K
+20, Private, 82777, HS-grad, 9, Married-civ-spouse, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+42, Private, 152676, 7th-8th, 4, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, Puerto-Rico, <=50K
+18, Private, 115815, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+23, Private, 168009, 10th, 6, Married-civ-spouse, Machine-op-inspct, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, Vietnam, <=50K
+28, Private, 213152, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, ?, >50K
+55, Private, 89690, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, >50K
+40, Private, 126868, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+52, Private, 95128, Some-college, 10, Divorced, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+37, Private, 185567, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, >50K
+21, Private, 301408, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 1602, 22, United-States, <=50K
+35, Private, 216256, Assoc-voc, 11, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+45, Private, 182541, Some-college, 10, Divorced, Machine-op-inspct, Unmarried, White, Male, 0, 0, 48, United-States, <=50K
+39, Private, 172855, HS-grad, 9, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+54, Private, 68684, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 44, United-States, <=50K
+42, Private, 364832, 7th-8th, 4, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+26, ?, 264300, Some-college, 10, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 20, United-States, <=50K
+59, Self-emp-inc, 349910, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+42, Private, 276218, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, >50K
+22, Private, 251196, Some-college, 10, Never-married, Protective-serv, Own-child, Black, Female, 0, 0, 20, United-States, <=50K
+33, Private, 196898, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+39, Private, 58343, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K
+18, Self-emp-inc, 101061, 11th, 7, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 70, United-States, <=50K
+46, Private, 415051, Some-college, 10, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 60, United-States, >50K
+24, Private, 174043, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 129460, Assoc-voc, 11, Married-civ-spouse, Handlers-cleaners, Wife, White, Female, 0, 0, 30, Ecuador, <=50K
+21, State-gov, 110946, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 43, United-States, <=50K
+22, Private, 313873, 11th, 7, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+61, Private, 81132, 5th-6th, 3, Married-civ-spouse, Handlers-cleaners, Husband, Asian-Pac-Islander, Male, 7298, 0, 40, Philippines, >50K
+56, Federal-gov, 255386, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Laos, <=50K
+21, Private, 191497, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+17, Private, 128617, 10th, 6, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 26, United-States, <=50K
+29, Private, 368949, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, ?, >50K
+28, Local-gov, 263600, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K
+62, Private, 257277, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K
+39, Private, 339442, HS-grad, 9, Separated, Machine-op-inspct, Not-in-family, Black, Male, 2176, 0, 40, United-States, <=50K
+30, Local-gov, 289442, HS-grad, 9, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+20, ?, 162667, 11th, 7, Never-married, ?, Unmarried, White, Male, 0, 0, 40, El-Salvador, <=50K
+18, Local-gov, 466325, 11th, 7, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 12, United-States, <=50K
+54, Private, 142169, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+49, Private, 252079, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K
+33, State-gov, 119628, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 50, Hong, <=50K
+50, Private, 175804, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+57, Private, 70720, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 78, United-States, <=50K
+50, State-gov, 201513, HS-grad, 9, Divorced, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+45, Private, 257609, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+41, Private, 124692, Some-college, 10, Married-civ-spouse, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, >50K
+23, Private, 268525, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, <=50K
+23, Private, 250630, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+47, Private, 180277, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, Hungary, <=50K
+39, Self-emp-not-inc, 191342, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 50, South, <=50K
+29, Private, 250967, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 1887, 48, United-States, >50K
+46, Private, 153254, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+18, Private, 362600, 5th-6th, 3, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+68, Private, 171933, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+62, Private, 211408, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K
+43, Private, 48193, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 22463, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 440969, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+21, State-gov, 164922, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+41, Local-gov, 134524, Assoc-voc, 11, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 45, United-States, <=50K
+61, Private, 176689, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 220993, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+21, Private, 512828, HS-grad, 9, Never-married, Protective-serv, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+36, State-gov, 422275, 5th-6th, 3, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+37, Local-gov, 65291, Assoc-voc, 11, Never-married, Protective-serv, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+69, Private, 197080, 12th, 8, Married-civ-spouse, Transport-moving, Husband, White, Male, 9386, 0, 60, United-States, >50K
+49, Federal-gov, 181657, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+55, Private, 190257, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 53, United-States, >50K
+21, Private, 238068, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+18, Private, 337046, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 187248, HS-grad, 9, Married-civ-spouse, Prof-specialty, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+20, ?, 250037, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 18, ?, <=50K
+46, Private, 285750, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 4064, 0, 55, United-States, <=50K
+23, Private, 260617, 10th, 6, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+48, Private, 216999, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+36, Private, 531055, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1902, 48, United-States, >50K
+42, State-gov, 121265, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+41, Local-gov, 184466, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 38, United-States, >50K
+45, Private, 297676, Assoc-acdm, 12, Widowed, Sales, Unmarried, White, Female, 0, 0, 40, Cuba, <=50K
+52, Private, 114228, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 3325, 0, 40, United-States, <=50K
+22, Local-gov, 121144, Bachelors, 13, Never-married, Prof-specialty, Own-child, Black, Female, 0, 0, 18, United-States, <=50K
+20, Private, 26842, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Female, 2176, 0, 40, United-States, <=50K
+27, Private, 113054, HS-grad, 9, Separated, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 43, United-States, <=50K
+36, Private, 256636, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 152246, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male, 0, 0, 52, United-States, <=50K
+38, Private, 108140, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+20, ?, 203353, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+47, Private, 207207, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 45, United-States, <=50K
+21, Private, 115420, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+33, Private, 80058, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+31, Local-gov, 48520, Assoc-acdm, 12, Never-married, Protective-serv, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+61, Private, 411652, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+46, Private, 154405, 10th, 6, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 45, United-States, <=50K
+55, Local-gov, 104917, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 40, United-States, >50K
+19, State-gov, 261422, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+39, Private, 48915, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K
+61, Private, 172037, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 144833, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 275116, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+61, ?, 72886, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 38, United-States, >50K
+61, Private, 103575, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 37, United-States, <=50K
+54, Private, 200783, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+50, Self-emp-inc, 152810, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 70, Germany, <=50K
+37, Local-gov, 44694, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 45, United-States, >50K
+17, ?, 48703, 11th, 7, Never-married, ?, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+56, Private, 91905, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 4, United-States, <=50K
+31, Private, 168906, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, >50K
+32, State-gov, 147215, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 55, United-States, >50K
+28, Private, 153546, 11th, 7, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+34, Private, 35595, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 225507, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+42, Private, 345504, Assoc-voc, 11, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+64, Private, 137205, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, <=50K
+29, Private, 327779, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 20, United-States, <=50K
+41, ?, 213416, 5th-6th, 3, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 32, Mexico, <=50K
+45, Private, 362883, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+48, Private, 131309, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K
+44, Private, 188331, Some-college, 10, Separated, Tech-support, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K
+34, Federal-gov, 194740, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 43711, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+45, Private, 187033, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 2051, 40, United-States, <=50K
+23, Private, 233923, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+51, Private, 84278, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K
+24, Private, 437666, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 2885, 0, 50, United-States, <=50K
+57, Private, 186386, Bachelors, 13, Widowed, Prof-specialty, Unmarried, White, Male, 10520, 0, 40, United-States, >50K
+23, Private, 129767, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 1721, 40, United-States, <=50K
+34, Private, 180284, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, >50K
+36, Private, 108320, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 4101, 0, 40, United-States, <=50K
+56, Self-emp-inc, 75214, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 32, United-States, >50K
+42, Private, 284758, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+45, Self-emp-inc, 188330, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K
+38, Private, 333651, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 70, United-States, >50K
+29, Local-gov, 115305, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, White, Male, 7688, 0, 40, United-States, >50K
+54, Private, 172962, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 1340, 40, United-States, <=50K
+40, Private, 198096, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K
+29, Private, 163265, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+35, Federal-gov, 128608, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+47, Private, 107460, HS-grad, 9, Separated, Exec-managerial, Unmarried, White, Female, 0, 0, 37, United-States, <=50K
+51, Private, 251841, Assoc-voc, 11, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 43, United-States, <=50K
+28, Private, 403671, HS-grad, 9, Never-married, Other-service, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K
+58, Private, 159378, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, >50K
+24, Private, 170070, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+46, State-gov, 192323, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+57, Private, 135796, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 48, United-States, <=50K
+22, Private, 232985, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 20, United-States, <=50K
+28, Private, 34532, Bachelors, 13, Never-married, Tech-support, Not-in-family, Black, Male, 0, 0, 30, Jamaica, <=50K
+17, ?, 371316, 10th, 6, Never-married, ?, Own-child, White, Male, 0, 0, 25, United-States, <=50K
+23, Private, 236994, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 60, United-States, <=50K
+19, Private, 208366, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+66, State-gov, 102640, HS-grad, 9, Widowed, Prof-specialty, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K
+38, Private, 111377, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, <=50K
+39, Federal-gov, 472166, Some-college, 10, Divorced, Exec-managerial, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+39, ?, 86551, 12th, 8, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+47, Private, 70943, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 5178, 0, 40, United-States, >50K
+39, Private, 294919, HS-grad, 9, Divorced, Transport-moving, Own-child, White, Male, 0, 0, 60, United-States, <=50K
+22, Private, 408383, Some-college, 10, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 255454, HS-grad, 9, Never-married, Craft-repair, Own-child, Black, Male, 0, 0, 30, United-States, <=50K
+32, Private, 193260, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K
+29, ?, 191935, HS-grad, 9, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+43, Local-gov, 125461, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+51, Private, 97005, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+42, Private, 183319, 5th-6th, 3, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K
+32, State-gov, 167049, 12th, 8, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+34, Private, 185216, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+51, Private, 161838, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 57, United-States, <=50K
+38, Private, 165848, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 44, United-States, <=50K
+21, Private, 138816, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 20, United-States, <=50K
+33, Self-emp-not-inc, 99761, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K
+34, Private, 112139, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 129020, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+38, ?, 365465, Assoc-voc, 11, Never-married, ?, Own-child, White, Male, 0, 0, 15, United-States, <=50K
+27, Self-emp-not-inc, 259873, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 60, United-States, >50K
+35, Self-emp-inc, 89622, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+29, State-gov, 201556, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+40, Private, 176286, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+46, Private, 192894, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, Black, Male, 0, 0, 30, United-States, <=50K
+37, Private, 172232, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K
+38, Self-emp-not-inc, 163204, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 3411, 0, 25, United-States, <=50K
+37, Private, 265737, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 1887, 60, Cuba, >50K
+44, Private, 215304, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K
+25, Private, 185952, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+38, Private, 216845, HS-grad, 9, Never-married, Sales, Unmarried, White, Male, 0, 0, 42, United-States, <=50K
+34, Local-gov, 35683, Assoc-acdm, 12, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 10, United-States, <=50K
+50, Self-emp-not-inc, 371305, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 1902, 60, United-States, >50K
+46, Private, 102359, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+20, Private, 200089, 5th-6th, 3, Never-married, Handlers-cleaners, Unmarried, White, Male, 0, 0, 30, Guatemala, <=50K
+47, State-gov, 207120, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 38, United-States, >50K
+46, Private, 295334, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K
+34, Private, 234537, Assoc-acdm, 12, Divorced, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+61, Private, 142922, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+55, State-gov, 181641, Some-college, 10, Divorced, Prof-specialty, Not-in-family, Black, Female, 0, 0, 37, United-States, <=50K
+36, Private, 185325, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+28, Private, 167336, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 10520, 0, 40, United-States, >50K
+22, Private, 379778, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 176117, Some-college, 10, Never-married, Sales, Own-child, Black, Female, 0, 0, 35, United-States, <=50K
+33, Private, 100228, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+27, Private, 150296, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 32, United-States, <=50K
+43, Federal-gov, 25005, Masters, 14, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 5013, 0, 12, United-States, <=50K
+55, Private, 134120, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 99999, 0, 40, United-States, >50K
+39, Self-emp-not-inc, 251710, 10th, 6, Married-spouse-absent, Other-service, Not-in-family, White, Female, 0, 1721, 15, United-States, <=50K
+20, Private, 653574, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 33, El-Salvador, <=50K
+38, Private, 175441, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+30, Private, 333119, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 89154, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 42, El-Salvador, <=50K
+60, Private, 198727, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 30, United-States, <=50K
+43, Private, 87284, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 180686, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K
+23, Private, 227070, Some-college, 10, Never-married, Other-service, Unmarried, White, Female, 0, 0, 48, El-Salvador, <=50K
+57, Local-gov, 189824, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 7298, 0, 40, United-States, >50K
+25, Local-gov, 348986, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K
+38, Private, 96185, HS-grad, 9, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 32, United-States, <=50K
+22, Private, 112693, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K
+23, Private, 417605, 5th-6th, 3, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K
+61, Self-emp-not-inc, 140300, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 44, United-States, <=50K
+28, Private, 340408, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 46, United-States, <=50K
+17, ?, 187539, 11th, 7, Never-married, ?, Own-child, White, Female, 0, 0, 10, United-States, <=50K
+21, Private, 237051, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+49, Private, 175622, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 389725, 12th, 8, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+23, Private, 182812, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, Dominican-Republic, <=50K
+38, Self-emp-not-inc, 245372, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 3137, 0, 50, United-States, <=50K
+34, Local-gov, 93886, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 46, United-States, >50K
+21, Private, 502837, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, Peru, <=50K
+27, State-gov, 212232, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, United-States, >50K
+57, Private, 300104, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 84, United-States, >50K
+22, Private, 156933, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 25, United-States, <=50K
+20, Private, 286734, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Other, Female, 0, 0, 35, United-States, <=50K
+49, Self-emp-inc, 143482, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 65, United-States, >50K
+38, Private, 226357, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 104892, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K
+44, Private, 223194, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 1485, 40, Haiti, <=50K
+37, Self-emp-not-inc, 272090, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 20, United-States, <=50K
+57, Private, 204816, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+56, Private, 230039, 7th-8th, 4, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+41, Private, 242619, Assoc-acdm, 12, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 80, United-States, <=50K
+50, Self-emp-not-inc, 131982, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 60, South, <=50K
+33, Private, 87310, 9th, 5, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+29, Private, 134566, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 20, United-States, <=50K
+28, Federal-gov, 163862, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 5178, 0, 40, United-States, >50K
+35, Private, 239409, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, <=50K
+36, Private, 203717, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+45, Private, 172274, Doctorate, 16, Divorced, Prof-specialty, Unmarried, Black, Female, 0, 3004, 35, United-States, >50K
+30, Self-emp-not-inc, 65278, Assoc-acdm, 12, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+35, Self-emp-inc, 135289, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 60, United-States, <=50K
+27, Private, 246974, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 180060, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, Yugoslavia, <=50K
+24, Private, 118023, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+47, Private, 102308, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+47, Private, 45564, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+18, Private, 137646, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+18, Private, 237646, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+31, Local-gov, 189843, HS-grad, 9, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 47, United-States, >50K
+43, Self-emp-not-inc, 118261, Masters, 14, Divorced, Other-service, Unmarried, White, Female, 0, 0, 30, United-States, <=50K
+45, Private, 288437, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Other, Male, 4064, 0, 40, United-States, <=50K
+39, Private, 106347, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 316471, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+22, Private, 50058, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+30, Self-emp-not-inc, 182089, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 85, United-States, <=50K
+36, Private, 186865, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K
+20, State-gov, 158206, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+61, ?, 229744, 1st-4th, 2, Married-civ-spouse, ?, Husband, White, Male, 3942, 0, 20, Mexico, <=50K
+27, Private, 141545, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1902, 45, United-States, <=50K
+59, Local-gov, 50929, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K
+60, Private, 132529, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+43, Private, 260696, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+35, Private, 231180, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+40, Private, 223277, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, >50K
+20, Private, 279538, 11th, 7, Married-civ-spouse, Handlers-cleaners, Other-relative, White, Male, 2961, 0, 35, United-States, <=50K
+47, Private, 46044, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 168071, Assoc-acdm, 12, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+20, Private, 79691, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+75, ?, 114204, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 13, United-States, <=50K
+25, Private, 124111, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+47, Private, 104521, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+29, Self-emp-not-inc, 128516, Assoc-acdm, 12, Widowed, Sales, Unmarried, White, Female, 0, 0, 40, United-States, >50K
+34, Private, 112564, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K
+45, State-gov, 32186, Bachelors, 13, Separated, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+23, Private, 239663, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 2597, 0, 50, United-States, <=50K
+46, Private, 269284, Assoc-acdm, 12, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+41, State-gov, 175537, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 38, United-States, <=50K
+29, Private, 444304, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+17, Private, 27415, 11th, 7, Never-married, Handlers-cleaners, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 20, United-States, <=50K
+39, Private, 174343, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 148143, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+34, Private, 209213, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, ?, <=50K
+20, Private, 165097, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+18, ?, 51574, HS-grad, 9, Never-married, ?, Own-child, Asian-Pac-Islander, Female, 0, 1602, 38, United-States, <=50K
+52, Private, 167651, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+42, Local-gov, 29075, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Wife, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K
+22, Private, 396895, 5th-6th, 3, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, Mexico, <=50K
+66, State-gov, 71075, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K
+35, Private, 129573, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 65, United-States, <=50K
+40, Local-gov, 183765, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+21, Private, 164991, HS-grad, 9, Divorced, Sales, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 38, United-States, <=50K
+51, Local-gov, 154891, HS-grad, 9, Divorced, Protective-serv, Unmarried, White, Male, 0, 0, 52, United-States, <=50K
+34, Private, 200117, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 176389, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+43, Private, 342567, Bachelors, 13, Married-spouse-absent, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+34, Private, 178841, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K
+42, Local-gov, 191149, Masters, 14, Never-married, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+41, Private, 29702, Assoc-voc, 11, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+21, Private, 157893, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+64, Local-gov, 31993, 7th-8th, 4, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 10, United-States, <=50K
+24, Federal-gov, 210736, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 1974, 40, United-States, <=50K
+23, Private, 39615, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 10, United-States, <=50K
+29, Private, 200511, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K
+44, Self-emp-not-inc, 47818, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 60, United-States, <=50K
+28, Private, 183155, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, <=50K
+33, Self-emp-inc, 374905, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+35, Private, 128876, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+41, Private, 202872, 10th, 6, Married-spouse-absent, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+42, Private, 153414, Bachelors, 13, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 40, United-States, >50K
+51, Self-emp-not-inc, 24790, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 99, United-States, >50K
+32, Private, 316769, 11th, 7, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, Jamaica, <=50K
+37, Private, 126569, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+18, Private, 128538, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+24, Private, 234640, Assoc-voc, 11, Never-married, Other-service, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+29, ?, 65372, Some-college, 10, Divorced, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+45, Private, 343377, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+52, Federal-gov, 30731, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+35, Private, 412379, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+46, Self-emp-inc, 112320, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+63, Private, 181929, HS-grad, 9, Widowed, Exec-managerial, Unmarried, White, Male, 0, 0, 50, United-States, >50K
+32, Local-gov, 100135, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 35, United-States, >50K
+24, Private, 128061, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 594, 0, 15, United-States, <=50K
+72, ?, 402306, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 32, Canada, <=50K
+35, ?, 98389, Some-college, 10, Never-married, ?, Unmarried, White, Male, 0, 0, 10, United-States, <=50K
+29, Private, 179565, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+35, Private, 64922, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 50, United-States, >50K
+70, Private, 102610, 10th, 6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 32, United-States, <=50K
+65, ?, 115513, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 5556, 0, 48, United-States, >50K
+36, Private, 150548, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+53, Private, 133219, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 4386, 0, 30, United-States, >50K
+49, Local-gov, 67001, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+60, Private, 162347, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 40, United-States, >50K
+18, Private, 138557, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 170456, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 35, Italy, <=50K
+42, Private, 66006, 10th, 6, Never-married, Transport-moving, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+25, State-gov, 176077, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 37, United-States, <=50K
+32, Private, 218322, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+25, Self-emp-inc, 181691, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, ?, <=50K
+47, Private, 168232, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 7298, 0, 40, United-States, >50K
+30, Private, 161690, Assoc-voc, 11, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+21, ?, 242736, Assoc-acdm, 12, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+38, Self-emp-not-inc, 67317, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K
+34, Private, 265807, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 2051, 55, United-States, <=50K
+37, Private, 99357, Assoc-acdm, 12, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+56, Private, 170070, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K
+52, State-gov, 231166, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 62339, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+29, State-gov, 118520, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 42, United-States, <=50K
+45, Private, 155659, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+23, Local-gov, 157331, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+45, Private, 341762, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 65, United-States, >50K
+30, Private, 164190, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K
+45, Private, 83064, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K
+26, Private, 304283, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 436798, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 29302, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, ?, <=50K
+43, Private, 104660, Masters, 14, Widowed, Exec-managerial, Unmarried, White, Male, 4934, 0, 40, United-States, >50K
+42, Private, 79036, HS-grad, 9, Divorced, Handlers-cleaners, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+72, Private, 165622, Some-college, 10, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K
+21, ?, 177287, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+57, Private, 199847, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 60, United-States, >50K
+24, Private, 22966, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K
+27, Private, 59068, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+54, Private, 77336, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+42, Local-gov, 96524, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K
+17, Private, 143868, 9th, 5, Never-married, Other-service, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+48, Private, 121424, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K
+39, Private, 176279, Bachelors, 13, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+41, Self-emp-inc, 177905, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 70, United-States, >50K
+50, Private, 205100, 7th-8th, 4, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 35, ?, <=50K
+57, Private, 353881, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+44, Local-gov, 177937, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 36, United-States, >50K
+20, ?, 122244, HS-grad, 9, Never-married, ?, Not-in-family, White, Female, 0, 0, 28, United-States, <=50K
+49, Private, 125892, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+44, Private, 155472, Assoc-acdm, 12, Never-married, Prof-specialty, Unmarried, Black, Female, 1151, 0, 50, United-States, <=50K
+42, Private, 355728, Assoc-voc, 11, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 44, United-States, <=50K
+18, ?, 245274, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 16, United-States, <=50K
+18, Private, 240330, 12th, 8, Never-married, Other-service, Own-child, White, Male, 0, 0, 18, United-States, <=50K
+51, Private, 182944, HS-grad, 9, Widowed, Tech-support, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+28, Private, 264498, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+39, Private, 110426, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Wife, White, Female, 15024, 0, 45, United-States, >50K
+25, Private, 166971, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 52, United-States, <=50K
+41, Private, 347653, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 50, United-States, >50K
+39, Private, 33975, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+42, Self-emp-not-inc, 215219, 11th, 7, Separated, Other-service, Unmarried, White, Female, 0, 0, 30, United-States, <=50K
+33, Private, 190772, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 1617, 40, United-States, <=50K
+63, ?, 331527, 10th, 6, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+47, Private, 162494, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 45, United-States, >50K
+27, Local-gov, 85918, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 68, United-States, <=50K
+39, Private, 91367, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1848, 45, United-States, >50K
+20, Private, 182342, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+49, Private, 129640, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+70, ?, 133536, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 28, United-States, <=50K
+46, Private, 148738, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 1740, 35, United-States, <=50K
+47, Private, 102583, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 30, United-States, >50K
+35, Private, 111387, 9th, 5, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 241752, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+22, ?, 334593, Some-college, 10, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+43, Private, 101950, Bachelors, 13, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+60, Local-gov, 212856, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, ?, >50K
+53, Private, 183973, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, >50K
+47, Private, 142061, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+34, Private, 158615, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 29145, Assoc-voc, 11, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 40135, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+23, Private, 224640, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+27, ?, 146651, HS-grad, 9, Married-civ-spouse, ?, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+29, Private, 167737, HS-grad, 9, Never-married, Transport-moving, Other-relative, White, Male, 0, 0, 50, United-States, <=50K
+23, Private, 60331, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 187167, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+18, ?, 157131, HS-grad, 9, Never-married, ?, Own-child, White, Female, 0, 0, 12, United-States, <=50K
+27, Local-gov, 255237, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+56, ?, 192325, Some-college, 10, Divorced, ?, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+40, Private, 163342, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 70, United-States, <=50K
+31, Private, 129775, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 65, United-States, <=50K
+18, Private, 206008, Some-college, 10, Never-married, Sales, Unmarried, White, Male, 2176, 0, 40, United-States, <=50K
+25, Private, 397317, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+36, Private, 745768, Some-college, 10, Never-married, Protective-serv, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+38, Private, 141550, 10th, 6, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+52, Private, 35576, HS-grad, 9, Widowed, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 376383, HS-grad, 9, Never-married, Other-service, Unmarried, White, Male, 0, 0, 35, Mexico, <=50K
+48, Self-emp-not-inc, 200825, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 30, United-States, >50K
+34, ?, 362787, HS-grad, 9, Never-married, ?, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K
+46, Private, 116789, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+26, Private, 160300, HS-grad, 9, Married-spouse-absent, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+47, Private, 362654, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+21, ?, 107801, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 3, United-States, <=50K
+65, Private, 170939, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 6723, 0, 40, United-States, <=50K
+31, Local-gov, 224234, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+38, Private, 478346, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 7688, 0, 40, United-States, >50K
+68, Private, 211162, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 147638, Bachelors, 13, Never-married, Adm-clerical, Other-relative, Asian-Pac-Islander, Female, 0, 0, 40, Hong, <=50K
+42, Private, 104647, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+49, Private, 67365, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+42, Private, 230959, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female, 0, 1887, 40, Philippines, >50K
+39, Private, 176335, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 65, United-States, >50K
+31, Self-emp-not-inc, 268482, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+28, State-gov, 288731, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 20, United-States, <=50K
+36, Private, 231082, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+42, State-gov, 333530, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K
+62, Private, 214288, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 118023, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 24, United-States, <=50K
+21, Private, 187088, Some-college, 10, Never-married, Adm-clerical, Own-child, Other, Female, 0, 0, 20, Cuba, <=50K
+60, ?, 174073, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 133833, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+30, Private, 229772, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+64, Private, 210082, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+28, Private, 119287, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 15024, 0, 28, United-States, >50K
+41, Self-emp-not-inc, 111772, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1887, 40, United-States, >50K
+25, Private, 122999, HS-grad, 9, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 44767, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 200574, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 44, United-States, <=50K
+58, Private, 236596, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+31, Private, 33124, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 99, United-States, <=50K
+50, Local-gov, 308764, HS-grad, 9, Widowed, Transport-moving, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+27, Private, 103524, HS-grad, 9, Separated, Handlers-cleaners, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+31, ?, 99483, HS-grad, 9, Never-married, ?, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K
+50, Private, 230951, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+45, Private, 99355, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 40, United-States, >50K
+33, Private, 857532, 12th, 8, Never-married, Protective-serv, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+62, Private, 81116, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 1974, 40, United-States, <=50K
+38, Private, 154410, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 2051, 40, Poland, <=50K
+19, Private, 198943, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+30, Private, 311696, 11th, 7, Married-civ-spouse, Other-service, Wife, Black, Female, 0, 0, 30, United-States, <=50K
+38, Private, 252897, Some-college, 10, Divorced, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+42, Self-emp-not-inc, 39539, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 99, United-States, >50K
+49, Self-emp-inc, 122066, Some-college, 10, Divorced, Sales, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K
+53, Private, 110977, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 50, United-States, >50K
+45, Local-gov, 199590, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1887, 40, Mexico, >50K
+24, Private, 202721, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+29, Private, 197565, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+24, Private, 206827, Some-college, 10, Never-married, Sales, Own-child, White, Female, 5060, 0, 30, United-States, <=50K
+38, Federal-gov, 190895, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, ?, >50K
+25, Self-emp-inc, 158751, Assoc-voc, 11, Never-married, Transport-moving, Unmarried, White, Male, 0, 0, 55, United-States, <=50K
+51, State-gov, 243631, 10th, 6, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K
+17, ?, 219277, 11th, 7, Never-married, ?, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+19, Private, 45381, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 8, United-States, <=50K
+38, Private, 167482, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 52, United-States, >50K
+60, Private, 225014, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+29, Self-emp-not-inc, 405083, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+66, ?, 186061, Some-college, 10, Widowed, ?, Unmarried, Black, Female, 0, 4356, 40, United-States, <=50K
+28, Federal-gov, 24153, 10th, 6, Married-civ-spouse, Other-service, Wife, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K
+36, Private, 126569, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, Ecuador, >50K
+57, ?, 137658, HS-grad, 9, Married-civ-spouse, ?, Husband, Other, Male, 0, 0, 5, Columbia, <=50K
+24, Private, 315476, Assoc-acdm, 12, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+43, Private, 248186, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K
+29, Self-emp-inc, 206903, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K
+67, Self-emp-not-inc, 191380, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 20051, 0, 25, United-States, >50K
+20, Private, 191910, HS-grad, 9, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 145119, Some-college, 10, Never-married, Other-service, Own-child, Asian-Pac-Islander, Male, 0, 0, 20, United-States, <=50K
+20, Private, 130840, 10th, 6, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+42, Private, 33126, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K
+20, Private, 334105, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 10, United-States, <=50K
+19, Local-gov, 354104, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+34, Private, 111985, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+40, Local-gov, 321187, Bachelors, 13, Never-married, Prof-specialty, Unmarried, White, Female, 0, 0, 45, United-States, <=50K
+33, Private, 138142, Some-college, 10, Separated, Other-service, Unmarried, Black, Female, 0, 0, 25, United-States, <=50K
+36, Private, 296999, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Female, 0, 0, 37, United-States, <=50K
+43, Private, 155106, Assoc-acdm, 12, Divorced, Craft-repair, Not-in-family, White, Male, 0, 2444, 70, United-States, >50K
+41, Local-gov, 174491, HS-grad, 9, Separated, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+34, State-gov, 173266, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K
+33, Private, 25610, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, Other, Male, 0, 0, 40, Japan, >50K
+47, Private, 187563, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+41, Private, 196344, 1st-4th, 2, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, Mexico, <=50K
+40, Private, 205047, HS-grad, 9, Married-spouse-absent, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+28, Private, 715938, Bachelors, 13, Never-married, Craft-repair, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+62, Self-emp-not-inc, 224520, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 90, United-States, >50K
+29, Private, 229656, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 50, United-States, <=50K
+46, Private, 97883, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+28, Private, 131298, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+57, Federal-gov, 197875, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+22, Private, 172766, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+28, Local-gov, 175796, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+24, Private, 51973, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+54, Self-emp-not-inc, 28186, Bachelors, 13, Divorced, Farming-fishing, Not-in-family, White, Male, 27828, 0, 50, United-States, >50K
+22, Private, 291979, 11th, 7, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+36, State-gov, 180752, Bachelors, 13, Never-married, Protective-serv, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+50, Private, 234657, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+18, Private, 39411, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 24, United-States, <=50K
+52, State-gov, 334273, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+41, Private, 192779, 7th-8th, 4, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, ?, <=50K
+21, ?, 105312, HS-grad, 9, Never-married, ?, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+36, Private, 171676, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 1741, 40, United-States, <=50K
+34, Self-emp-not-inc, 182714, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 55, United-States, >50K
+21, Private, 231866, Assoc-voc, 11, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+46, Private, 102102, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+57, ?, 50248, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+61, Local-gov, 195519, Masters, 14, Never-married, Prof-specialty, Unmarried, White, Female, 0, 0, 25, United-States, <=50K
+22, State-gov, 34310, Some-college, 10, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 25, United-States, <=50K
+33, ?, 314913, 11th, 7, Divorced, ?, Own-child, White, Male, 0, 0, 53, United-States, <=50K
+36, State-gov, 747719, Prof-school, 15, Married-civ-spouse, Prof-specialty, Wife, White, Female, 15024, 0, 50, United-States, >50K
+43, Local-gov, 188280, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 914, 0, 40, United-States, <=50K
+25, Private, 110978, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female, 0, 0, 37, India, >50K
+17, Private, 79682, 10th, 6, Never-married, Priv-house-serv, Other-relative, White, Male, 0, 0, 30, United-States, <=50K
+45, Private, 294671, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 4386, 0, 38, United-States, >50K
+30, Private, 340899, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 1590, 80, United-States, <=50K
+40, Private, 192259, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+31, Local-gov, 190228, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+42, Private, 118947, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+53, Private, 55861, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+37, Private, 238433, 1st-4th, 2, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, Cuba, <=50K
+37, State-gov, 166744, HS-grad, 9, Married-spouse-absent, Other-service, Unmarried, White, Female, 0, 0, 20, United-States, <=50K
+54, Private, 144586, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, >50K
+36, Private, 134367, HS-grad, 9, Divorced, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+46, Private, 133616, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+46, Private, 203039, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 48, United-States, <=50K
+32, Private, 217460, 9th, 5, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K
+17, Private, 106733, 11th, 7, Never-married, Craft-repair, Own-child, White, Male, 594, 0, 40, United-States, <=50K
+42, State-gov, 212027, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+37, Local-gov, 126569, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 289960, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, <=50K
+54, Private, 174102, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+38, Private, 181716, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, <=50K
+46, Local-gov, 172822, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 293091, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+57, Private, 107443, 1st-4th, 2, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Portugal, <=50K
+59, Private, 95283, 1st-4th, 2, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 65278, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+35, Private, 220943, HS-grad, 9, Divorced, Other-service, Unmarried, Black, Female, 0, 1594, 40, United-States, <=50K
+53, Private, 257940, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 2829, 0, 40, United-States, <=50K
+26, Private, 134945, HS-grad, 9, Never-married, Machine-op-inspct, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+55, Self-emp-not-inc, 105582, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 2228, 0, 50, United-States, <=50K
+46, Private, 169324, HS-grad, 9, Separated, Other-service, Not-in-family, Black, Female, 0, 0, 45, Jamaica, <=50K
+44, State-gov, 98989, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male, 0, 0, 38, United-States, >50K
+30, Self-emp-not-inc, 113838, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 3137, 0, 60, Germany, <=50K
+24, Private, 143436, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 24, United-States, <=50K
+32, Private, 143604, 10th, 6, Married-spouse-absent, Other-service, Not-in-family, Black, Female, 0, 0, 37, United-States, <=50K
+35, Private, 226311, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+67, Private, 94610, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 30, United-States, >50K
+56, Self-emp-not-inc, 26716, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 20, United-States, >50K
+26, Private, 160261, Masters, 14, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 20, India, <=50K
+46, Private, 117310, Assoc-acdm, 12, Widowed, Tech-support, Unmarried, White, Female, 6497, 0, 40, United-States, <=50K
+52, Private, 154342, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, >50K
+38, Self-emp-not-inc, 89202, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 174704, HS-grad, 9, Divorced, Sales, Unmarried, Black, Male, 0, 0, 50, United-States, <=50K
+53, Private, 153486, HS-grad, 9, Separated, Transport-moving, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+27, Private, 360097, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+39, Private, 230356, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+22, Private, 163870, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 199753, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, >50K
+20, Private, 333505, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 30, Nicaragua, <=50K
+60, Local-gov, 149281, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K
+51, Private, 138514, Assoc-voc, 11, Divorced, Tech-support, Unmarried, Black, Female, 0, 0, 48, United-States, <=50K
+57, Federal-gov, 66504, Prof-school, 15, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, >50K
+59, Private, 206487, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+37, Private, 170020, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 217605, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Wife, White, Female, 0, 0, 40, United-States, <=50K
+43, Private, 145711, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 72, United-States, >50K
+17, Private, 169155, 12th, 8, Never-married, Other-service, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+45, Private, 34127, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+18, Private, 110142, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+52, Private, 222646, 12th, 8, Separated, Machine-op-inspct, Other-relative, White, Female, 0, 0, 40, Cuba, <=50K
+18, Private, 182643, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 9, United-States, <=50K
+20, Private, 303565, Some-college, 10, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 40, Germany, <=50K
+34, Private, 140092, HS-grad, 9, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+19, Private, 178811, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, Black, Female, 0, 0, 20, United-States, <=50K
+18, ?, 267399, 12th, 8, Never-married, ?, Own-child, White, Female, 0, 0, 12, United-States, <=50K
+17, Local-gov, 192387, 9th, 5, Never-married, Other-service, Own-child, White, Male, 0, 0, 45, United-States, <=50K
+30, Federal-gov, 127610, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+29, Private, 258862, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+30, Private, 225231, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 8614, 0, 50, United-States, >50K
+18, Private, 174926, 9th, 5, Never-married, Other-service, Own-child, White, Male, 0, 0, 15, ?, <=50K
+50, State-gov, 238187, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 0, 37, United-States, <=50K
+22, Private, 191444, HS-grad, 9, Never-married, Sales, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 198822, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+39, Self-emp-not-inc, 251323, 9th, 5, Married-civ-spouse, Farming-fishing, Other-relative, White, Male, 0, 0, 40, Cuba, <=50K
+20, Private, 168187, Some-college, 10, Never-married, Other-service, Other-relative, White, Female, 4416, 0, 25, United-States, <=50K
+62, Private, 370881, Assoc-acdm, 12, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 7, United-States, <=50K
+32, Private, 198183, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K
+38, Private, 210610, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K
+32, Private, 269182, Some-college, 10, Separated, Tech-support, Unmarried, Black, Female, 3887, 0, 40, United-States, <=50K
+55, Private, 141727, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 3464, 0, 40, United-States, <=50K
+38, Private, 185848, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 70, United-States, >50K
+34, Private, 46746, 11th, 7, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+28, Private, 120475, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+26, Private, 135845, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 37, United-States, <=50K
+41, Private, 310255, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+61, State-gov, 379885, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 40, United-States, >50K
+75, Self-emp-not-inc, 31428, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 3456, 0, 40, United-States, <=50K
+21, Private, 211013, Assoc-voc, 11, Married-civ-spouse, Other-service, Other-relative, White, Female, 0, 0, 50, Mexico, <=50K
+50, Private, 175029, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K
+49, Self-emp-inc, 119539, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, ?, >50K
+26, Private, 247025, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 65, United-States, <=50K
+39, Private, 252327, 7th-8th, 4, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, Mexico, <=50K
+24, Self-emp-not-inc, 375313, Some-college, 10, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K
+56, Private, 107165, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 18, United-States, <=50K
+17, Private, 108470, 11th, 7, Never-married, Other-service, Own-child, Black, Male, 0, 0, 17, United-States, <=50K
+37, Private, 150057, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 52, United-States, >50K
+23, Private, 189468, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+28, ?, 198393, HS-grad, 9, Never-married, ?, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+57, Self-emp-not-inc, 181031, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K
+42, Local-gov, 569930, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, >50K
+25, Private, 27411, Bachelors, 13, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+22, Private, 147397, Bachelors, 13, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K
+39, Private, 242922, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+54, Private, 154949, 11th, 7, Married-civ-spouse, Other-service, Wife, Black, Female, 0, 0, 40, United-States, >50K
+41, Self-emp-inc, 423217, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+43, Federal-gov, 195385, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K
+19, Private, 100009, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+35, Private, 191628, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 340880, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, Philippines, >50K
+19, Private, 207173, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 30, United-States, <=50K
+33, Private, 48010, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+33, Private, 229051, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 52, United-States, <=50K
+49, Private, 193366, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 65, United-States, >50K
+31, Private, 57781, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 50, United-States, <=50K
+69, ?, 121136, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 13, United-States, <=50K
+41, Private, 433989, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 4386, 0, 60, United-States, >50K
+24, Private, 136687, HS-grad, 9, Separated, Machine-op-inspct, Unmarried, Other, Female, 0, 0, 40, United-States, <=50K
+45, State-gov, 154117, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 38, United-States, >50K
+63, Private, 294009, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 45, United-States, >50K
+75, Private, 239038, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 16, United-States, <=50K
+34, Private, 244064, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K
+69, Private, 128348, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 9386, 0, 50, United-States, >50K
+33, Private, 66278, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+44, Private, 162643, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 43, United-States, <=50K
+45, Private, 179659, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 3103, 0, 40, United-States, >50K
+18, Private, 205218, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+48, Private, 154033, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 52, United-States, <=50K
+43, Private, 158528, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+26, Private, 366219, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 1848, 60, United-States, >50K
+35, Private, 301862, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 50, United-States, <=50K
+34, Private, 228406, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+48, Private, 120131, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 70, United-States, >50K
+54, Local-gov, 127943, HS-grad, 9, Widowed, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+57, Private, 301514, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 156980, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 60, United-States, <=50K
+28, Private, 124685, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male, 0, 0, 55, United-States, <=50K
+51, Private, 305673, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Canada, >50K
+34, Local-gov, 31391, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 53, United-States, >50K
+41, Local-gov, 33658, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 45, United-States, >50K
+21, Private, 211391, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 27, United-States, <=50K
+26, Private, 402998, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 58, United-States, >50K
+66, Private, 78855, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K
+40, Private, 320451, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 1977, 45, Hong, >50K
+48, Private, 49278, Assoc-acdm, 12, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+44, ?, 248876, Bachelors, 13, Divorced, ?, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+41, Private, 242586, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+41, Private, 359696, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 15024, 0, 60, United-States, >50K
+55, Local-gov, 296085, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, >50K
+43, Private, 233130, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+51, Private, 189511, Assoc-voc, 11, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 50, Germany, >50K
+31, Private, 124420, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+30, Self-emp-not-inc, 67072, Bachelors, 13, Married-spouse-absent, Craft-repair, Not-in-family, White, Male, 6849, 0, 60, United-States, <=50K
+51, Private, 194908, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K
+31, Local-gov, 94991, HS-grad, 9, Divorced, Other-service, Unmarried, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K
+18, Private, 194561, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 37, United-States, <=50K
+60, Private, 75726, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 1092, 40, United-States, <=50K
+29, Private, 60722, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K
+33, Private, 59944, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 220840, 5th-6th, 3, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+40, Self-emp-inc, 104235, Masters, 14, Never-married, Other-service, Own-child, White, Male, 0, 0, 99, United-States, <=50K
+57, Private, 142714, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K
+55, Local-gov, 110490, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 60, United-States, <=50K
+40, Self-emp-not-inc, 154076, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K
+26, State-gov, 130557, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+29, Private, 107108, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K
+30, Private, 207172, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, Mexico, <=50K
+29, Private, 304595, Masters, 14, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, >50K
+43, Private, 475322, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K
+65, Private, 107620, 11th, 7, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 8, United-States, <=50K
+19, Private, 301911, Some-college, 10, Never-married, Sales, Own-child, Asian-Pac-Islander, Male, 0, 0, 35, Laos, <=50K
+35, Private, 267866, HS-grad, 9, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 1887, 50, Iran, >50K
+28, Private, 269786, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 167474, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+61, Private, 115023, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1887, 60, United-States, >50K
+63, Local-gov, 86590, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 32, United-States, <=50K
+47, State-gov, 187087, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+31, Private, 184307, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+18, Private, 225859, Some-college, 10, Never-married, Transport-moving, Own-child, White, Male, 2907, 0, 30, United-States, <=50K
+29, Private, 57889, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K
+59, Private, 157932, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+50, Private, 187830, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 62, United-States, >50K
+49, Private, 251180, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 2407, 0, 50, United-States, <=50K
+60, Private, 317083, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+35, Self-emp-not-inc, 190895, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+48, Federal-gov, 328606, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+21, ?, 403860, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+41, Private, 215479, HS-grad, 9, Separated, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+56, Private, 157639, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+26, Private, 152129, 12th, 8, Never-married, Other-service, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K
+53, Private, 239284, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+23, Private, 234302, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+58, Private, 218724, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K
+61, Private, 106330, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 35032, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 60, United-States, <=50K
+22, Private, 234641, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+43, Private, 170730, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 50, United-States, >50K
+31, Private, 218322, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+90, Private, 47929, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+53, Private, 142411, Assoc-voc, 11, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+22, ?, 219122, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+55, Private, 132887, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 3411, 0, 40, Jamaica, <=50K
+34, State-gov, 44464, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K
+28, Private, 180928, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 5013, 0, 55, United-States, <=50K
+22, ?, 199426, Some-college, 10, Never-married, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+36, Private, 139703, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+33, Private, 202642, Bachelors, 13, Separated, Prof-specialty, Other-relative, Black, Female, 0, 0, 40, Jamaica, <=50K
+17, Private, 160049, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 0, 12, United-States, <=50K
+38, Private, 239755, 11th, 7, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+60, Private, 152369, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K
+34, Private, 42900, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+72, ?, 117017, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 8, United-States, <=50K
+57, Private, 175017, 5th-6th, 3, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Italy, <=50K
+39, Private, 342642, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+50, Self-emp-not-inc, 143730, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 80, United-States, <=50K
+45, Private, 191098, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, China, <=50K
+37, Private, 208106, Bachelors, 13, Separated, Exec-managerial, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+27, Private, 167737, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K
+43, Private, 315971, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, >50K
+41, Private, 142717, Some-college, 10, Divorced, Tech-support, Unmarried, Black, Female, 0, 0, 36, United-States, <=50K
+20, Private, 190227, Masters, 14, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 25, United-States, <=50K
+44, Private, 79864, Masters, 14, Separated, Exec-managerial, Unmarried, White, Female, 0, 0, 20, United-States, <=50K
+50, Private, 34067, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+54, Private, 222882, HS-grad, 9, Widowed, Exec-managerial, Unmarried, White, Female, 0, 0, 45, United-States, <=50K
+31, Private, 44464, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 1564, 60, United-States, >50K
+33, Private, 256062, Some-college, 10, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 35, Puerto-Rico, <=50K
+22, Private, 251073, 9th, 5, Never-married, Other-service, Own-child, White, Male, 0, 0, 50, United-States, <=50K
+46, Private, 149949, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 165235, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, >50K
+22, ?, 243190, Some-college, 10, Never-married, ?, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, China, <=50K
+59, ?, 160662, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 2407, 0, 60, United-States, <=50K
+57, Self-emp-not-inc, 175942, Some-college, 10, Widowed, Exec-managerial, Other-relative, White, Male, 0, 0, 25, United-States, <=50K
+26, Private, 212793, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+52, Local-gov, 153312, Assoc-acdm, 12, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K
+55, Local-gov, 173296, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 45, United-States, <=50K
+47, Private, 120131, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+19, Private, 117444, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 226196, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+44, Private, 202872, Assoc-acdm, 12, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, >50K
+42, Private, 176716, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+39, Private, 82540, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K
+17, ?, 41643, 11th, 7, Never-married, ?, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+26, Private, 197292, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+26, Private, 76491, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 20, United-States, <=50K
+50, Self-emp-inc, 101094, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K
+46, Self-emp-not-inc, 119944, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+18, Private, 141626, Some-college, 10, Never-married, Tech-support, Own-child, White, Male, 2176, 0, 20, United-States, <=50K
+26, Private, 122575, Bachelors, 13, Never-married, Exec-managerial, Unmarried, Asian-Pac-Islander, Male, 0, 0, 60, Vietnam, <=50K
+32, Private, 194740, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1902, 40, United-States, >50K
+50, Private, 263200, 5th-6th, 3, Married-spouse-absent, Other-service, Unmarried, White, Female, 0, 0, 34, Mexico, <=50K
+47, Local-gov, 140644, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K
+52, Private, 202115, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 25, United-States, <=50K
+25, Federal-gov, 27142, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+42, Local-gov, 318046, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+53, Private, 276369, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K
+30, Private, 67187, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Amer-Indian-Eskimo, Female, 0, 0, 8, United-States, <=50K
+23, Private, 133582, 1st-4th, 2, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 36, Mexico, <=50K
+23, Private, 216672, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 30, ?, <=50K
+32, Private, 45796, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K
+29, Self-emp-inc, 31778, HS-grad, 9, Separated, Prof-specialty, Other-relative, White, Male, 0, 0, 25, United-States, <=50K
+40, Private, 190044, Assoc-acdm, 12, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+45, State-gov, 144351, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+17, ?, 172145, 10th, 6, Never-married, ?, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+55, Private, 193130, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+59, Local-gov, 140478, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+56, Private, 122390, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 40, United-States, >50K
+23, Private, 116830, 12th, 8, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+37, Local-gov, 117683, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 106491, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, <=50K
+22, ?, 39803, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 363053, 9th, 5, Never-married, Priv-house-serv, Unmarried, White, Female, 0, 0, 24, Mexico, <=50K
+21, Private, 54472, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+47, Local-gov, 200471, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 5178, 0, 40, United-States, >50K
+38, Private, 54317, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 60, United-States, <=50K
+62, Local-gov, 113443, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 10520, 0, 33, United-States, >50K
+27, Private, 159623, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+25, ?, 161235, Assoc-voc, 11, Never-married, ?, Own-child, White, Male, 0, 0, 90, United-States, <=50K
+27, Private, 247978, HS-grad, 9, Never-married, Other-service, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+40, Private, 305846, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K
+22, Self-emp-not-inc, 214014, Some-college, 10, Never-married, Sales, Own-child, Black, Male, 99999, 0, 55, United-States, >50K
+33, Private, 226525, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+28, Private, 247819, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 5, United-States, <=50K
+28, Private, 194940, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 289991, HS-grad, 9, Never-married, Transport-moving, Unmarried, White, Male, 0, 0, 55, United-States, <=50K
+46, Private, 585361, 9th, 5, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+30, Private, 91145, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+65, ?, 231604, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 45, Germany, <=50K
+28, Private, 273269, Some-college, 10, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+39, Private, 202683, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 159179, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+50, Private, 28952, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 39, United-States, <=50K
+25, ?, 214925, 10th, 6, Never-married, ?, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+63, Private, 163708, 9th, 5, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+56, Private, 200235, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, >50K
+46, Private, 109209, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+19, Private, 166153, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+56, Local-gov, 268213, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, ?, >50K
+31, Private, 69056, HS-grad, 9, Divorced, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+51, State-gov, 237141, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+17, Private, 277541, 11th, 7, Never-married, Sales, Own-child, White, Male, 0, 0, 5, United-States, <=50K
+27, Local-gov, 289039, Some-college, 10, Never-married, Protective-serv, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K
+30, Private, 134737, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 45, United-States, <=50K
+18, Private, 56613, Some-college, 10, Never-married, Protective-serv, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+41, Private, 36699, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 4650, 0, 40, United-States, <=50K
+40, Local-gov, 333530, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K
+35, Private, 185366, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+29, Private, 154017, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 10, United-States, <=50K
+27, Private, 215504, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1848, 55, United-States, >50K
+25, Private, 222539, 10th, 6, Never-married, Transport-moving, Not-in-family, White, Male, 2597, 0, 50, United-States, <=50K
+53, Private, 191565, 1st-4th, 2, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 40, Dominican-Republic, <=50K
+53, Private, 111939, Bachelors, 13, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 35, United-States, <=50K
+26, State-gov, 53903, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 50, United-States, <=50K
+41, Private, 146659, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 70, United-States, <=50K
+28, Private, 194200, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 70, United-States, <=50K
+48, State-gov, 78529, Masters, 14, Separated, Prof-specialty, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+22, Private, 194829, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+40, Federal-gov, 330174, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 40, United-States, >50K
+52, Self-emp-inc, 230767, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 60, Cuba, >50K
+53, Local-gov, 137250, Masters, 14, Widowed, Prof-specialty, Unmarried, Black, Female, 0, 1669, 35, United-States, <=50K
+40, Private, 254478, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 50, United-States, >50K
+57, Private, 300908, Assoc-acdm, 12, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 75, United-States, <=50K
+53, Self-emp-not-inc, 187830, Assoc-voc, 11, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Poland, <=50K
+23, Private, 201138, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 8, United-States, <=50K
+31, Self-emp-not-inc, 44503, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 381357, 9th, 5, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 28, United-States, <=50K
+25, Private, 311124, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+37, Private, 96330, Some-college, 10, Never-married, Exec-managerial, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+50, Private, 228238, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+34, Self-emp-not-inc, 56964, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 35, United-States, <=50K
+37, Private, 127772, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+52, Private, 386397, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+29, Self-emp-not-inc, 404998, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 90, United-States, <=50K
+49, Private, 34545, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 40, United-States, >50K
+31, Private, 157886, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K
+47, Private, 101299, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+51, Self-emp-not-inc, 134447, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 70, United-States, <=50K
+27, Private, 191822, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 50, United-States, <=50K
+23, Private, 70919, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+55, Private, 266343, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 46, United-States, <=50K
+28, Private, 87239, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+31, Local-gov, 236487, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, Germany, <=50K
+30, Private, 224147, HS-grad, 9, Never-married, Transport-moving, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+23, Private, 197200, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 60, United-States, <=50K
+19, Private, 124265, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 50, United-States, <=50K
+22, Private, 79980, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 25, United-States, <=50K
+50, Private, 128814, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 25, United-States, <=50K
+64, ?, 208862, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 50, United-States, >50K
+21, Private, 51262, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+75, Self-emp-inc, 98116, Some-college, 10, Widowed, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+29, Private, 82393, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, Germany, <=50K
+47, Private, 57534, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+20, Private, 218962, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 204752, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+45, Private, 243631, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 45, China, >50K
+41, Private, 170299, Assoc-voc, 11, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 43, United-States, <=50K
+23, Private, 60331, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 269318, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 5178, 0, 50, United-States, >50K
+67, State-gov, 132819, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 41, United-States, >50K
+21, Private, 119665, Some-college, 10, Never-married, Tech-support, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+38, Private, 150057, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+31, Private, 128567, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+19, ?, 230874, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+59, Self-emp-not-inc, 148526, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 160192, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+50, Local-gov, 74660, Some-college, 10, Widowed, Prof-specialty, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+60, Self-emp-inc, 142494, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 122042, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+28, Self-emp-inc, 37088, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+36, Private, 61778, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, >50K
+21, ?, 176356, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 10, Germany, <=50K
+27, Private, 123302, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Poland, <=50K
+18, Private, 89760, 12th, 8, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+44, Local-gov, 165304, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1485, 40, United-States, >50K
+56, Private, 104945, 7th-8th, 4, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+51, Self-emp-inc, 192973, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 40, United-States, >50K
+48, Private, 97863, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, Italy, >50K
+31, Private, 73585, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K
+35, Private, 29145, Assoc-voc, 11, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 175232, HS-grad, 9, Divorced, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 325374, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+47, Self-emp-not-inc, 107231, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1672, 65, United-States, <=50K
+23, Private, 129345, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K
+21, Private, 228395, Some-college, 10, Never-married, Sales, Other-relative, Black, Female, 0, 0, 20, United-States, <=50K
+49, Private, 452402, Some-college, 10, Separated, Exec-managerial, Unmarried, Black, Female, 0, 0, 60, United-States, <=50K
+51, Self-emp-inc, 338260, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 60, United-States, >50K
+46, Private, 165138, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 109055, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 3137, 0, 45, United-States, <=50K
+27, Private, 193122, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+56, ?, 425497, Assoc-acdm, 12, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 20, United-States, <=50K
+48, Private, 191858, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 297155, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+29, Local-gov, 181282, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+50, Federal-gov, 111700, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+18, Private, 35065, HS-grad, 9, Never-married, Transport-moving, Not-in-family, Black, Male, 0, 0, 35, United-States, <=50K
+37, Private, 298539, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 55, United-States, >50K
+51, Self-emp-not-inc, 95435, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K
+31, Private, 162160, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 47, United-States, <=50K
+29, Private, 176037, Assoc-voc, 11, Divorced, Tech-support, Not-in-family, Black, Male, 14344, 0, 40, United-States, >50K
+39, Private, 314007, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 2051, 40, United-States, <=50K
+48, Private, 197683, Some-college, 10, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 40, United-States, >50K
+44, Private, 242521, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 50, United-States, >50K
+39, Private, 290321, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+22, Local-gov, 44064, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+27, ?, 174163, Some-college, 10, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 40, United-States, >50K
+42, Private, 374790, 9th, 5, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+18, Private, 231562, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 33, United-States, <=50K
+27, Private, 376150, Some-college, 10, Married-spouse-absent, Sales, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K
+51, Private, 99987, 10th, 6, Separated, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+27, Self-emp-not-inc, 120126, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+60, Self-emp-not-inc, 33717, 11th, 7, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K
+36, Private, 132879, 1st-4th, 2, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Italy, <=50K
+45, Private, 304570, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 60, China, >50K
+40, Private, 100292, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 52, United-States, >50K
+63, Private, 117473, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 4386, 0, 40, United-States, >50K
+41, Private, 239833, HS-grad, 9, Married-spouse-absent, Transport-moving, Unmarried, Black, Male, 0, 0, 50, United-States, <=50K
+53, ?, 155233, 12th, 8, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 40, Italy, <=50K
+34, Private, 130369, HS-grad, 9, Divorced, Transport-moving, Unmarried, White, Female, 1151, 0, 48, Germany, <=50K
+34, Private, 347166, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 502752, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K
+22, State-gov, 255575, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K
+49, Private, 277946, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+43, ?, 214541, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 35, United-States, <=50K
+36, Private, 143123, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+27, Private, 69132, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 37, United-States, <=50K
+52, Self-emp-not-inc, 34973, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 1887, 60, United-States, >50K
+29, Private, 236992, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 50, United-States, <=50K
+27, Private, 492263, 10th, 6, Separated, Machine-op-inspct, Own-child, White, Male, 0, 0, 35, Mexico, <=50K
+42, Private, 180019, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 65, United-States, <=50K
+49, Self-emp-not-inc, 47086, Bachelors, 13, Widowed, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+24, Private, 222853, Some-college, 10, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 50, United-States, <=50K
+22, Private, 344176, HS-grad, 9, Never-married, Sales, Unmarried, White, Male, 0, 0, 20, United-States, <=50K
+30, Self-emp-not-inc, 223212, Bachelors, 13, Never-married, Sales, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 110981, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 162688, Assoc-voc, 11, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+45, Self-emp-inc, 181307, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 43, United-States, >50K
+39, Private, 148903, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 4687, 0, 50, United-States, >50K
+43, Private, 306440, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 66, France, <=50K
+18, Private, 210311, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+53, Private, 127117, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+74, Private, 54732, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 20, United-States, >50K
+39, Private, 271521, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 48, Philippines, >50K
+33, ?, 216908, 10th, 6, Never-married, ?, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+49, Private, 543922, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 42, United-States, >50K
+21, Private, 766115, 10th, 6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 35, United-States, <=50K
+65, ?, 52728, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+39, Private, 284166, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 1564, 50, United-States, >50K
+49, Private, 122206, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 25, United-States, <=50K
+20, ?, 95989, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+47, Private, 334039, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 44, United-States, >50K
+46, Self-emp-not-inc, 225456, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 112847, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 7298, 0, 32, United-States, >50K
+61, Self-emp-not-inc, 171840, HS-grad, 9, Widowed, Prof-specialty, Unmarried, White, Female, 0, 0, 16, United-States, <=50K
+48, Private, 180695, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K
+44, Private, 121012, 9th, 5, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+37, Self-emp-inc, 126569, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K
+45, Private, 227791, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 1740, 50, United-States, <=50K
+51, Self-emp-not-inc, 290290, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K
+33, Local-gov, 251521, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+55, Self-emp-not-inc, 41938, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 8, United-States, <=50K
+25, Private, 27678, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 60, United-States, <=50K
+26, Private, 133756, HS-grad, 9, Divorced, Farming-fishing, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K
+54, Private, 215990, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+38, Private, 461337, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 33, United-States, <=50K
+39, Local-gov, 344855, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1977, 20, United-States, >50K
+20, State-gov, 214542, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 258170, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+29, Federal-gov, 242147, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, Other, Male, 0, 0, 45, United-States, <=50K
+42, Private, 235700, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+24, Private, 278130, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+36, Private, 261241, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, >50K
+60, Private, 85995, Masters, 14, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 50, South, >50K
+42, Private, 340885, HS-grad, 9, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 44, United-States, <=50K
+42, Private, 152889, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+46, Private, 195023, HS-grad, 9, Married-spouse-absent, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, Columbia, <=50K
+52, State-gov, 109600, Masters, 14, Married-spouse-absent, Exec-managerial, Unmarried, White, Female, 4787, 0, 44, United-States, >50K
+27, ?, 249463, Assoc-voc, 11, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 20, United-States, <=50K
+43, Private, 158177, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K
+43, State-gov, 47818, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+27, Private, 391468, 11th, 7, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+52, Local-gov, 199995, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 60, United-States, >50K
+31, Private, 231043, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K
+38, ?, 281768, 7th-8th, 4, Divorced, ?, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K
+44, Private, 267790, 9th, 5, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+27, Private, 217379, Some-college, 10, Divorced, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+50, Private, 421561, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 50953, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+22, Private, 138504, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K
+36, State-gov, 177064, Some-college, 10, Never-married, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+24, Private, 103064, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Female, 3674, 0, 40, United-States, <=50K
+59, Private, 184493, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+39, Private, 104089, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K
+23, Private, 149204, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 405284, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 1340, 42, United-States, <=50K
+25, Local-gov, 137296, Assoc-acdm, 12, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 38, United-States, <=50K
+40, Private, 87771, HS-grad, 9, Married-civ-spouse, Craft-repair, Wife, White, Female, 0, 1628, 45, United-States, <=50K
+38, State-gov, 125499, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 7688, 0, 60, India, >50K
+31, Private, 59083, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 35, United-States, <=50K
+28, Local-gov, 138332, Doctorate, 16, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+24, Private, 198914, HS-grad, 9, Never-married, Sales, Unmarried, Black, Male, 0, 0, 25, United-States, <=50K
+46, Local-gov, 238162, Assoc-acdm, 12, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 1887, 50, United-States, >50K
+29, Private, 123677, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, Asian-Pac-Islander, Female, 0, 0, 40, Laos, <=50K
+38, Federal-gov, 325538, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+53, Private, 251063, Some-college, 10, Separated, Exec-managerial, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+33, Private, 51471, HS-grad, 9, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 1902, 40, United-States, >50K
+39, Private, 175681, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 60, ?, <=50K
+44, Private, 165599, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, <=50K
+46, Private, 149640, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, England, >50K
+30, Private, 143526, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 211160, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 342989, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+62, Self-emp-not-inc, 173631, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 70, United-States, <=50K
+25, Private, 141876, HS-grad, 9, Married-spouse-absent, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+45, Private, 137604, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 129232, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+64, Federal-gov, 271550, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K
+39, Private, 456922, Bachelors, 13, Divorced, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+60, Private, 232242, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 352188, HS-grad, 9, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 114967, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+41, Private, 201981, HS-grad, 9, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+32, State-gov, 159247, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K
+24, Private, 125905, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 186824, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+42, Local-gov, 121012, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+58, Private, 110844, Masters, 14, Widowed, Sales, Not-in-family, White, Female, 0, 0, 27, United-States, <=50K
+23, Private, 143003, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 1887, 50, India, >50K
+31, Federal-gov, 59732, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K
+28, Private, 178489, Bachelors, 13, Never-married, Exec-managerial, Unmarried, Black, Female, 0, 0, 45, ?, <=50K
+41, ?, 252127, Some-college, 10, Widowed, ?, Unmarried, Black, Female, 0, 0, 20, United-States, <=50K
+37, Private, 109633, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 16, United-States, >50K
+19, Private, 160811, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 38, United-States, <=50K
+27, Self-emp-not-inc, 365110, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+61, Self-emp-not-inc, 113080, 9th, 5, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 58, United-States, >50K
+39, Private, 206074, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K
+25, Private, 173062, Bachelors, 13, Never-married, Handlers-cleaners, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K
+58, Private, 117273, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+27, Self-emp-not-inc, 153805, Some-college, 10, Married-civ-spouse, Transport-moving, Other-relative, Other, Male, 0, 0, 50, Ecuador, >50K
+51, Private, 293802, 5th-6th, 3, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 52, United-States, <=50K
+43, Local-gov, 153132, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 40, United-States, >50K
+46, Private, 166809, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+67, ?, 34122, 5th-6th, 3, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+50, Local-gov, 231725, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 63210, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 15, United-States, <=50K
+35, Private, 108293, Bachelors, 13, Widowed, Prof-specialty, Unmarried, White, Female, 0, 0, 32, United-States, >50K
+57, Private, 116878, 1st-4th, 2, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Italy, <=50K
+40, Private, 110622, Prof-school, 15, Married-civ-spouse, Adm-clerical, Other-relative, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K
+42, Local-gov, 180318, 10th, 6, Never-married, Farming-fishing, Unmarried, White, Male, 0, 0, 35, United-States, <=50K
+67, Self-emp-inc, 112318, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+47, Private, 252079, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 7688, 0, 44, United-States, >50K
+30, Private, 27153, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+26, Private, 73312, 11th, 7, Never-married, Machine-op-inspct, Unmarried, White, Female, 0, 0, 15, United-States, <=50K
+51, Private, 145409, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 167882, Some-college, 10, Widowed, Other-service, Other-relative, Black, Female, 0, 0, 45, Haiti, <=50K
+24, Private, 236696, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+48, Self-emp-not-inc, 28791, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 50, United-States, <=50K
+34, State-gov, 118551, Bachelors, 13, Married-civ-spouse, Tech-support, Own-child, White, Female, 5178, 0, 25, ?, >50K
+70, Private, 187292, Bachelors, 13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 6418, 0, 40, United-States, >50K
+35, Private, 189922, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+61, ?, 584259, Masters, 14, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 2, United-States, >50K
+26, Private, 173992, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K
+64, Private, 253759, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 3, United-States, <=50K
+26, Private, 111243, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 35, United-States, <=50K
+39, Self-emp-not-inc, 147850, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 30, United-States, <=50K
+55, Private, 171015, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 36, United-States, <=50K
+23, Private, 118023, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, ?, <=50K
+33, Self-emp-not-inc, 361497, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 137290, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K
+28, Local-gov, 401886, HS-grad, 9, Never-married, Adm-clerical, Other-relative, White, Male, 0, 0, 20, United-States, <=50K
+50, Private, 201882, Masters, 14, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 30, United-States, <=50K
+26, Local-gov, 30793, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 55, United-States, >50K
+44, Federal-gov, 139161, Assoc-acdm, 12, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 1741, 40, United-States, <=50K
+51, Private, 210736, HS-grad, 9, Married-spouse-absent, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 167781, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 50, United-States, <=50K
+37, Private, 103986, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 39, United-States, >50K
+29, Private, 144592, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+24, Private, 493034, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+27, Private, 184078, Assoc-voc, 11, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+44, Private, 191814, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+24, Private, 329852, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+54, Private, 223660, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K
+47, Private, 177087, Some-college, 10, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 50, United-States, >50K
+30, Private, 143766, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+35, Private, 234271, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+39, Federal-gov, 314822, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+42, Private, 195584, Assoc-acdm, 12, Separated, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+70, Self-emp-inc, 207938, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2377, 50, United-States, >50K
+41, Private, 126850, Prof-school, 15, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K
+36, Private, 279485, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K
+44, Private, 267717, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 42, United-States, >50K
+42, ?, 175935, HS-grad, 9, Separated, ?, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 163665, Some-college, 10, Never-married, Transport-moving, Own-child, White, Female, 0, 0, 17, United-States, <=50K
+29, Private, 200468, 10th, 6, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 91501, HS-grad, 9, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 40, United-States, <=50K
+30, Private, 182771, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, >50K
+59, Self-emp-not-inc, 56392, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 1579, 60, United-States, <=50K
+31, Private, 20511, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K
+21, Private, 538822, HS-grad, 9, Never-married, Other-service, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K
+26, Private, 332008, Some-college, 10, Never-married, Craft-repair, Unmarried, Asian-Pac-Islander, Male, 0, 0, 37, Taiwan, <=50K
+57, Self-emp-inc, 220789, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K
+59, Self-emp-not-inc, 114760, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 20, United-States, >50K
+87, ?, 90338, HS-grad, 9, Widowed, ?, Not-in-family, White, Male, 0, 0, 2, United-States, <=50K
+25, Private, 181576, Some-college, 10, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K
+39, Private, 198841, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 45, United-States, >50K
+53, Private, 53197, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 3103, 0, 40, United-States, >50K
+32, State-gov, 542265, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+38, Private, 193026, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 25505, Assoc-voc, 11, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K
+17, Private, 375657, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+44, Private, 201599, 11th, 7, Never-married, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+23, Private, 181820, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+57, Private, 334224, Some-college, 10, Married-civ-spouse, Craft-repair, Wife, White, Female, 9386, 0, 40, United-States, >50K
+30, State-gov, 54318, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+51, Self-emp-not-inc, 141388, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 55, United-States, <=50K
+54, Self-emp-not-inc, 57101, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K
+44, Private, 168515, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, Germany, <=50K
+60, Private, 163665, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 16, United-States, >50K
+28, Private, 207513, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 7298, 0, 42, United-States, >50K
+39, Private, 293291, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, >50K
+55, Private, 70088, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+36, Private, 199346, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 50, United-States, >50K
+55, Local-gov, 143949, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 3103, 0, 45, United-States, >50K
+33, Private, 207201, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 55, United-States, >50K
+30, Private, 430283, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 7298, 0, 40, United-States, >50K
+40, Local-gov, 293809, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 20, United-States, <=50K
+30, Private, 378009, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+40, Private, 226608, Some-college, 10, Divorced, Tech-support, Not-in-family, White, Male, 0, 0, 30, Guatemala, >50K
+24, Private, 314182, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+18, Private, 170544, 11th, 7, Never-married, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+18, Private, 94196, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+49, Private, 193047, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K
+42, Private, 112607, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+28, Local-gov, 146949, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 309513, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+48, Self-emp-not-inc, 191389, Some-college, 10, Separated, Sales, Unmarried, White, Female, 0, 0, 50, United-States, <=50K
+24, Private, 213902, 7th-8th, 4, Never-married, Priv-house-serv, Own-child, White, Female, 0, 0, 32, El-Salvador, <=50K
+73, Self-emp-not-inc, 46514, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 25, United-States, <=50K
+35, Private, 75855, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 7298, 0, 40, ?, >50K
+23, Private, 38707, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, >50K
+19, Private, 188568, Some-college, 10, Never-married, Priv-house-serv, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+27, Private, 215014, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 35, Mexico, <=50K
+27, Private, 184477, 12th, 8, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+41, Self-emp-not-inc, 204235, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+31, Private, 39054, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 20, United-States, <=50K
+64, Self-emp-inc, 272531, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+45, Private, 358701, 12th, 8, Never-married, Other-service, Own-child, White, Male, 0, 0, 10, Mexico, <=50K
+47, Private, 217750, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 35, United-States, <=50K
+22, Private, 200374, HS-grad, 9, Never-married, Machine-op-inspct, Other-relative, White, Male, 0, 0, 35, United-States, <=50K
+24, Private, 498349, Bachelors, 13, Never-married, Transport-moving, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+69, State-gov, 170458, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 20, United-States, <=50K
+40, Self-emp-not-inc, 57233, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+45, Private, 188432, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+47, Self-emp-not-inc, 33300, Assoc-acdm, 12, Never-married, Farming-fishing, Other-relative, White, Male, 10520, 0, 45, United-States, >50K
+31, Private, 225779, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+48, Private, 46677, Assoc-acdm, 12, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 42, United-States, <=50K
+41, Private, 227968, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, Black, Female, 0, 0, 35, Haiti, >50K
+34, Private, 85355, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+48, Private, 207120, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+28, Local-gov, 229223, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Wife, White, Female, 7688, 0, 36, United-States, >50K
+20, Private, 224640, Assoc-acdm, 12, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+39, Private, 139012, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, >50K
+40, Federal-gov, 130749, Some-college, 10, Divorced, Exec-managerial, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+28, Private, 204516, 10th, 6, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+20, Private, 105479, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K
+41, Private, 197093, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+49, Self-emp-inc, 431245, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+24, Private, 155150, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+35, State-gov, 216035, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 388247, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+23, Private, 208908, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+23, Private, 259301, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+42, Self-emp-not-inc, 69333, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Husband, White, Male, 4386, 0, 80, United-States, >50K
+34, Private, 167893, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 64, United-States, >50K
+32, Federal-gov, 386877, Assoc-voc, 11, Never-married, Tech-support, Own-child, Black, Male, 4650, 0, 40, United-States, <=50K
+54, Private, 146551, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 54, United-States, >50K
+48, Private, 238360, Bachelors, 13, Separated, Adm-clerical, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K
+38, Private, 187748, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+48, State-gov, 50748, Bachelors, 13, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+22, Private, 50136, 5th-6th, 3, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, El-Salvador, <=50K
+42, Private, 111483, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 50, United-States, >50K
+31, Private, 298871, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, China, <=50K
+27, Private, 147340, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 50, United-States, >50K
+57, Private, 132704, Masters, 14, Separated, Prof-specialty, Not-in-family, White, Male, 10520, 0, 32, United-States, >50K
+46, State-gov, 327786, Assoc-voc, 11, Divorced, Tech-support, Not-in-family, White, Female, 3325, 0, 42, United-States, <=50K
+44, Federal-gov, 243636, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+42, Local-gov, 194417, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K
+24, Private, 236696, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+38, Private, 337130, 1st-4th, 2, Married-spouse-absent, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K
+29, Private, 273051, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 52, Yugoslavia, >50K
+38, Private, 186191, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K
+33, Private, 268451, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+61, Private, 154600, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 4, United-States, <=50K
+49, Local-gov, 405309, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+51, Self-emp-not-inc, 99185, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+42, Private, 191765, HS-grad, 9, Divorced, Other-service, Other-relative, Black, Female, 0, 0, 35, United-States, <=50K
+21, Private, 253583, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+29, ?, 297054, HS-grad, 9, Divorced, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+54, Private, 204397, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K
+23, Private, 288771, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+52, Private, 173987, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+28, Local-gov, 33662, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 7298, 0, 40, United-States, >50K
+23, Private, 91658, Some-college, 10, Divorced, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+43, Private, 226902, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 80, United-States, >50K
+45, Private, 232586, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K
+51, Self-emp-not-inc, 291755, 7th-8th, 4, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 42, United-States, <=50K
+29, ?, 207032, HS-grad, 9, Married-spouse-absent, ?, Unmarried, Black, Female, 0, 0, 42, Haiti, <=50K
+23, Private, 161478, Some-college, 10, Never-married, Sales, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K
+73, Self-emp-not-inc, 109833, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 30, United-States, <=50K
+47, Self-emp-not-inc, 229394, 11th, 7, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 55, United-States, <=50K
+61, ?, 69285, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 37, United-States, <=50K
+26, Private, 491862, Assoc-voc, 11, Never-married, Exec-managerial, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+40, Private, 311534, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K
+32, Self-emp-not-inc, 420895, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 47, United-States, <=50K
+39, Private, 226374, 10th, 6, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+33, Federal-gov, 101345, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+35, Private, 48779, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 35, United-States, <=50K
+42, Private, 152676, HS-grad, 9, Divorced, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+46, Private, 164877, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 44, United-States, <=50K
+33, Private, 97521, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+47, Private, 88564, 5th-6th, 3, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+33, Private, 188246, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 189185, HS-grad, 9, Divorced, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+42, State-gov, 163069, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+28, Private, 251905, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K
+29, Private, 112403, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, ?, <=50K
+18, Private, 36882, 12th, 8, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+33, Self-emp-not-inc, 195891, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K
+36, Private, 194905, Bachelors, 13, Widowed, Prof-specialty, Unmarried, White, Female, 0, 0, 44, United-States, <=50K
+33, Private, 133503, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 7688, 0, 48, United-States, >50K
+40, Private, 31621, HS-grad, 9, Married-spouse-absent, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+57, Self-emp-not-inc, 413373, Doctorate, 16, Married-civ-spouse, Sales, Husband, White, Male, 0, 1902, 40, United-States, >50K
+40, Private, 196029, HS-grad, 9, Divorced, Transport-moving, Unmarried, White, Male, 0, 0, 45, United-States, <=50K
+36, Private, 107302, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 50, United-States, <=50K
+45, Private, 151267, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, >50K
+52, Private, 256861, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K
+24, Private, 82777, HS-grad, 9, Separated, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 147430, HS-grad, 9, Married-spouse-absent, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+28, ?, 60726, HS-grad, 9, Never-married, ?, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+46, Self-emp-not-inc, 165754, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+36, Private, 448337, HS-grad, 9, Separated, Sales, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+48, Private, 185079, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+36, Private, 418702, Assoc-voc, 11, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+48, Private, 41504, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K
+21, Private, 387335, Some-college, 10, Never-married, Tech-support, Own-child, White, Female, 0, 1719, 9, United-States, <=50K
+18, Private, 261720, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+38, Private, 133963, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, >50K
+66, ?, 357750, 11th, 7, Widowed, ?, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+36, State-gov, 179488, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 7298, 0, 55, United-States, >50K
+38, Private, 60135, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+55, Self-emp-not-inc, 308746, Prof-school, 15, Widowed, Prof-specialty, Not-in-family, White, Male, 0, 0, 55, United-States, >50K
+27, Private, 278720, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K
+22, State-gov, 477505, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 164711, Some-college, 10, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 208277, Some-college, 10, Never-married, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+21, Private, 39943, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+49, Private, 104542, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+29, Private, 286634, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 50, United-States, >50K
+28, Private, 142712, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, >50K
+26, Private, 336404, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 117983, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 41, United-States, <=50K
+72, ?, 108796, Prof-school, 15, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, >50K
+59, Private, 59469, Masters, 14, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, Iran, <=50K
+37, Private, 171968, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+56, ?, 119254, 10th, 6, Divorced, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+27, Private, 278617, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+39, Private, 72338, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, >50K
+49, Local-gov, 343231, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 80, United-States, <=50K
+30, Private, 63910, HS-grad, 9, Married-civ-spouse, Sales, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K
+28, Private, 190350, 9th, 5, Married-civ-spouse, Protective-serv, Wife, Black, Female, 0, 0, 40, United-States, <=50K
+25, State-gov, 176162, Bachelors, 13, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+18, Private, 37720, 10th, 6, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 421467, Assoc-acdm, 12, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 26, United-States, <=50K
+36, Private, 138441, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+52, Private, 146767, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K
+20, ?, 369678, 12th, 8, Never-married, ?, Not-in-family, Other, Male, 0, 1602, 40, United-States, <=50K
+25, Private, 160445, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 211695, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+50, Private, 102346, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 2415, 20, United-States, >50K
+48, Private, 128796, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+39, Private, 111129, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+30, Local-gov, 44566, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 118497, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K
+36, Private, 334291, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1887, 40, United-States, >50K
+49, Private, 237920, Doctorate, 16, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K
+34, Local-gov, 136331, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K
+28, Private, 187397, HS-grad, 9, Never-married, Other-service, Other-relative, Other, Male, 0, 0, 48, Mexico, <=50K
+28, Self-emp-not-inc, 119793, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+42, Private, 24982, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 40, United-States, >50K
+26, Self-emp-not-inc, 231714, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+54, Private, 229272, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, >50K
+66, ?, 68219, 9th, 5, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+61, Self-emp-not-inc, 268831, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 53, United-States, <=50K
+45, Self-emp-not-inc, 149640, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 30, United-States, >50K
+29, Private, 261725, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+74, Private, 161387, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 16, United-States, <=50K
+61, Local-gov, 260167, HS-grad, 9, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+27, Private, 200928, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 22, United-States, <=50K
+53, Federal-gov, 155594, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+57, Self-emp-not-inc, 79539, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K
+41, Private, 469454, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+45, Private, 331482, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K
+43, Private, 225193, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+26, ?, 370727, Bachelors, 13, Married-civ-spouse, ?, Wife, White, Female, 0, 1977, 40, United-States, >50K
+29, Private, 82393, HS-grad, 9, Married-civ-spouse, Other-service, Own-child, Asian-Pac-Islander, Male, 0, 0, 25, Philippines, <=50K
+65, ?, 37170, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 20, United-States, <=50K
+41, Private, 58484, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K
+31, Local-gov, 156464, Bachelors, 13, Never-married, Prof-specialty, Other-relative, White, Male, 0, 0, 40, ?, <=50K
+50, Private, 344621, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+52, Private, 174752, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K
+18, Self-emp-inc, 174202, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 60, United-States, <=50K
+26, Private, 261203, 7th-8th, 4, Never-married, Other-service, Unmarried, Other, Female, 0, 0, 30, ?, <=50K
+57, Private, 316000, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+63, State-gov, 216871, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 1740, 40, United-States, <=50K
+29, Private, 246933, HS-grad, 9, Never-married, Adm-clerical, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K
+32, Self-emp-not-inc, 112115, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 40, United-States, >50K
+34, Private, 264651, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K
+43, Private, 99185, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 58, United-States, <=50K
+39, Private, 176186, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K
+28, Private, 100219, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 45, United-States, <=50K
+32, Private, 46691, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+28, State-gov, 297735, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 90, United-States, <=50K
+40, Private, 132222, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 4386, 0, 50, United-States, >50K
+25, Private, 189656, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 60, United-States, >50K
+54, Local-gov, 224934, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+48, Self-emp-inc, 149218, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 70, United-States, >50K
+51, Private, 158508, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K
+67, State-gov, 261203, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 35, United-States, <=50K
+17, Private, 309504, 10th, 6, Never-married, Sales, Unmarried, White, Female, 0, 0, 24, United-States, <=50K
+24, State-gov, 324637, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 267426, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+68, ?, 229016, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 25, United-States, <=50K
+54, Private, 46401, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 47, United-States, <=50K
+32, Private, 114288, HS-grad, 9, Divorced, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+61, ?, 203849, Some-college, 10, Divorced, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+41, Federal-gov, 193882, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+53, Private, 311269, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+45, Private, 156117, Assoc-voc, 11, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K
+64, ?, 169917, 7th-8th, 4, Widowed, ?, Not-in-family, White, Female, 0, 0, 4, United-States, <=50K
+51, Private, 222615, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K
+41, State-gov, 106900, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 60, United-States, >50K
+40, Federal-gov, 78036, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 65, United-States, >50K
+27, Private, 380560, HS-grad, 9, Never-married, Farming-fishing, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K
+41, Private, 167106, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 3103, 0, 35, Philippines, >50K
+51, Private, 289436, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K
+36, Private, 749636, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+34, Self-emp-inc, 154120, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 55, United-States, <=50K
+43, Private, 105119, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+61, Federal-gov, 181081, HS-grad, 9, Divorced, Adm-clerical, Own-child, Black, Female, 0, 0, 20, United-States, <=50K
+31, Private, 182237, 10th, 6, Separated, Transport-moving, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 102130, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 65, United-States, >50K
+43, Private, 266324, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1902, 99, United-States, >50K
+52, Private, 170562, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+18, Private, 240543, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+37, Federal-gov, 187046, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+60, Private, 389254, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+47, Private, 179955, Some-college, 10, Widowed, Transport-moving, Unmarried, White, Female, 0, 0, 25, Outlying-US(Guam-USVI-etc), <=50K
+21, Private, 197997, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+34, Self-emp-inc, 343789, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 55, United-States, >50K
+28, Private, 191088, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 1741, 52, United-States, <=50K
+40, Local-gov, 141649, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K
+26, Private, 433906, Assoc-acdm, 12, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+48, Private, 207982, Some-college, 10, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+46, Private, 175925, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K
+58, Private, 85767, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 48, United-States, <=50K
+32, Self-emp-inc, 281030, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+90, ?, 313986, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, >50K
+38, Private, 396595, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, >50K
+20, ?, 189203, Assoc-acdm, 12, Never-married, ?, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K
+43, Self-emp-not-inc, 163108, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 99, United-States, <=50K
+17, Private, 141590, 11th, 7, Never-married, Priv-house-serv, Own-child, White, Female, 0, 0, 12, United-States, <=50K
+36, Private, 137421, 12th, 8, Never-married, Transport-moving, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 45, ?, <=50K
+36, Private, 67728, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 5013, 0, 40, Italy, <=50K
+30, Private, 345522, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 3103, 0, 70, United-States, >50K
+45, Private, 330087, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+51, Self-emp-not-inc, 204322, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K
+29, Private, 50295, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 48, United-States, <=50K
+35, Self-emp-not-inc, 147258, Assoc-voc, 11, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 65, United-States, <=50K
+19, Private, 194260, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+56, Private, 437727, 9th, 5, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+64, ?, 34100, Some-college, 10, Widowed, ?, Not-in-family, White, Male, 0, 0, 4, United-States, <=50K
+62, ?, 186611, HS-grad, 9, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 280960, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 24, United-States, <=50K
+33, Private, 33117, Assoc-acdm, 12, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K
+43, Private, 169628, Bachelors, 13, Never-married, Sales, Unmarried, Black, Female, 0, 0, 35, United-States, >50K
+22, State-gov, 124942, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 45, United-States, <=50K
+44, Private, 143368, Some-college, 10, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 55, United-States, <=50K
+37, Private, 255621, HS-grad, 9, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+34, Self-emp-inc, 154227, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 75, United-States, <=50K
+43, Private, 171438, Assoc-voc, 11, Separated, Sales, Unmarried, White, Female, 0, 0, 45, United-States, <=50K
+39, Private, 191524, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+30, Private, 377017, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 32, United-States, <=50K
+58, Private, 192806, 7th-8th, 4, Never-married, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 33, United-States, <=50K
+31, ?, 259120, Some-college, 10, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 10, United-States, <=50K
+45, Local-gov, 234195, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 35, United-States, <=50K
+30, Private, 147596, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+42, Private, 147251, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 36, United-States, <=50K
+50, Private, 176157, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+25, Local-gov, 176162, Assoc-voc, 11, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+34, Private, 384150, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+50, Private, 107665, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+72, ?, 82635, 11th, 7, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+60, State-gov, 165827, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, <=50K
+41, Private, 287306, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 60, United-States, >50K
+71, Self-emp-not-inc, 78786, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 10, United-States, <=50K
+40, Self-emp-not-inc, 33310, Prof-school, 15, Divorced, Other-service, Not-in-family, White, Female, 0, 2339, 35, United-States, <=50K
+22, Private, 349368, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+52, Private, 117674, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K
+30, Private, 310889, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K
+36, ?, 187167, HS-grad, 9, Separated, ?, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+40, Private, 379919, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+31, Federal-gov, 34862, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K
+44, Private, 201723, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 45, United-States, >50K
+38, Local-gov, 161463, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 40, United-States, >50K
+46, Private, 186410, Prof-school, 15, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, >50K
+57, Federal-gov, 62020, Prof-school, 15, Divorced, Exec-managerial, Not-in-family, Black, Male, 0, 0, 55, United-States, >50K
+39, Private, 42044, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+42, Private, 170230, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 55, United-States, >50K
+43, Private, 341358, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+22, Private, 199426, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 17, United-States, <=50K
+44, Private, 89172, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K
+22, ?, 148955, Some-college, 10, Never-married, ?, Own-child, Asian-Pac-Islander, Female, 0, 0, 15, South, <=50K
+37, Private, 140673, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, >50K
+20, ?, 71788, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 18, United-States, <=50K
+26, State-gov, 326033, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 80, United-States, <=50K
+35, Private, 129305, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+28, Private, 171067, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+34, Private, 143582, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 35, Japan, <=50K
+17, ?, 171461, 10th, 6, Never-married, ?, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+18, Private, 257980, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 182866, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+44, Self-emp-inc, 69333, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K
+61, Private, 668362, 1st-4th, 2, Widowed, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+39, Private, 132879, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+61, Private, 181219, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1848, 40, United-States, >50K
+19, ?, 166018, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+22, Private, 120518, HS-grad, 9, Widowed, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+19, Private, 183532, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 25, United-States, <=50K
+45, Private, 49298, Bachelors, 13, Never-married, Tech-support, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 157332, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+37, Private, 213726, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K
+26, Private, 31143, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+17, ?, 256173, 10th, 6, Never-married, ?, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+26, Private, 184872, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 55, United-States, >50K
+58, Private, 202652, HS-grad, 9, Separated, Other-service, Unmarried, White, Female, 0, 0, 40, Dominican-Republic, <=50K
+61, ?, 101602, Doctorate, 16, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 25, United-States, >50K
+64, Private, 60940, HS-grad, 9, Widowed, Sales, Not-in-family, White, Female, 8614, 0, 50, France, >50K
+19, Private, 292590, HS-grad, 9, Married-civ-spouse, Sales, Other-relative, White, Female, 0, 0, 25, United-States, <=50K
+36, Private, 141420, Bachelors, 13, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+47, Private, 159389, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+62, Private, 254534, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+36, State-gov, 89508, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+38, Self-emp-not-inc, 238980, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+54, Private, 178946, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, >50K
+31, Private, 204752, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+26, Private, 290213, Some-college, 10, Separated, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+50, Private, 102615, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 40, United-States, >50K
+41, Private, 291965, Some-college, 10, Never-married, Tech-support, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K
+52, Local-gov, 175339, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K
+28, Private, 90547, HS-grad, 9, Married-civ-spouse, Other-service, Wife, Black, Female, 0, 0, 23, United-States, <=50K
+23, ?, 449101, HS-grad, 9, Married-civ-spouse, ?, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+46, Self-emp-not-inc, 101722, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 3137, 0, 40, United-States, <=50K
+32, ?, 981628, HS-grad, 9, Divorced, ?, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K
+59, ?, 147989, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+30, Self-emp-inc, 204470, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 36, United-States, >50K
+58, Local-gov, 311409, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 7688, 0, 30, United-States, >50K
+31, Private, 190027, HS-grad, 9, Never-married, Other-service, Other-relative, Black, Female, 0, 0, 40, ?, <=50K
+36, Private, 218015, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, <=50K
+31, State-gov, 77634, Preschool, 1, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 24, United-States, <=50K
+52, Self-emp-not-inc, 42984, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 70, United-States, >50K
+29, Private, 413297, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 3411, 0, 70, Mexico, <=50K
+48, Self-emp-not-inc, 218835, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, England, <=50K
+30, Private, 341051, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 60, United-States, >50K
+58, Private, 252419, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K
+20, Federal-gov, 347935, Some-college, 10, Never-married, Protective-serv, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+19, Private, 237848, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 3, United-States, <=50K
+63, Private, 174826, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+51, Self-emp-not-inc, 170086, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 45, United-States, >50K
+53, Private, 470368, Assoc-acdm, 12, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 48, United-States, <=50K
+54, Federal-gov, 75235, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 5178, 0, 40, United-States, >50K
+35, ?, 35854, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+26, Private, 746432, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 48, United-States, <=50K
+47, Self-emp-not-inc, 258498, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 52, United-States, <=50K
+44, Private, 176063, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K
+80, Self-emp-not-inc, 26865, 7th-8th, 4, Never-married, Farming-fishing, Unmarried, White, Male, 0, 0, 20, United-States, <=50K
+55, Private, 104724, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+43, Private, 346321, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K
+49, Private, 402462, Bachelors, 13, Married-spouse-absent, Transport-moving, Unmarried, White, Male, 0, 0, 30, Columbia, <=50K
+27, Private, 153078, Prof-school, 15, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K
+42, Private, 176063, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 55, United-States, >50K
+39, Private, 451059, 9th, 5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+36, ?, 229533, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 106437, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+58, Local-gov, 294313, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 55, United-States, <=50K
+63, Private, 67903, 9th, 5, Separated, Farming-fishing, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+49, Private, 133669, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+36, Self-emp-inc, 251730, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 60, United-States, >50K
+46, Private, 72896, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K
+47, Private, 155664, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 55, United-States, >50K
+39, Private, 206520, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+33, Private, 72338, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 65, Japan, >50K
+43, Local-gov, 34640, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, Other, Male, 0, 1887, 40, United-States, >50K
+30, Private, 236543, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 68, United-States, <=50K
+39, Local-gov, 43702, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 37, United-States, <=50K
+44, Private, 335248, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+27, Private, 198197, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+80, ?, 281768, Assoc-acdm, 12, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 4, United-States, <=50K
+31, Private, 160594, Assoc-acdm, 12, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 3, United-States, <=50K
+34, Local-gov, 231826, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, El-Salvador, <=50K
+28, Private, 188171, Assoc-acdm, 12, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 60, United-States, <=50K
+55, Private, 125000, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K
+36, Private, 166509, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+42, Private, 402367, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, Black, Male, 7688, 0, 45, United-States, >50K
+67, Local-gov, 204123, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 10, United-States, <=50K
+53, Self-emp-inc, 220786, Some-college, 10, Widowed, Sales, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K
+43, Private, 254146, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1902, 40, United-States, >50K
+29, Local-gov, 152461, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 42, United-States, <=50K
+19, Private, 223669, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+51, Private, 120270, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+21, Self-emp-not-inc, 304602, Assoc-voc, 11, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 98, United-States, <=50K
+54, Private, 24108, Some-college, 10, Separated, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+42, Self-emp-not-inc, 32546, Prof-school, 15, Divorced, Prof-specialty, Unmarried, White, Male, 7430, 0, 40, United-States, >50K
+41, Private, 93885, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 48, United-States, <=50K
+28, Private, 210765, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 191276, Assoc-voc, 11, Divorced, Handlers-cleaners, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+82, Self-emp-not-inc, 71438, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 20, United-States, <=50K
+23, Private, 330571, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 16, United-States, <=50K
+40, Local-gov, 138634, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 112264, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K
+24, Private, 205865, HS-grad, 9, Never-married, Sales, Unmarried, White, Male, 0, 0, 45, United-States, <=50K
+21, Private, 224640, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+27, Private, 180758, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 30, United-States, <=50K
+29, ?, 499935, Assoc-voc, 11, Never-married, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+40, Self-emp-not-inc, 107762, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K
+17, Private, 214787, 12th, 8, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+27, Private, 211032, 1st-4th, 2, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K
+34, Private, 208353, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+18, Private, 157273, 10th, 6, Never-married, Other-service, Other-relative, Black, Male, 0, 0, 15, United-States, <=50K
+39, Private, 75891, Bachelors, 13, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+34, Self-emp-inc, 177675, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 65, United-States, >50K
+44, Private, 182370, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+18, ?, 200525, 11th, 7, Never-married, ?, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+39, Private, 174242, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 60, United-States, >50K
+28, Private, 95566, 1st-4th, 2, Married-spouse-absent, Other-service, Own-child, Other, Female, 0, 0, 35, Dominican-Republic, <=50K
+30, Private, 30290, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+60, Private, 240951, HS-grad, 9, Divorced, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+58, Private, 183810, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 24, United-States, <=50K
+49, Private, 94342, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K
+61, Self-emp-inc, 148577, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K
+27, Private, 103634, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K
+59, Self-emp-not-inc, 83542, Assoc-acdm, 12, Divorced, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+52, Federal-gov, 76131, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, Asian-Pac-Islander, Female, 0, 0, 40, United-States, >50K
+42, Federal-gov, 262402, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+27, Private, 198286, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 34, United-States, <=50K
+41, Self-emp-inc, 145441, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+35, ?, 273558, Some-college, 10, Never-married, ?, Not-in-family, Black, Male, 0, 0, 30, United-States, <=50K
+50, Local-gov, 117496, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 24, United-States, <=50K
+36, Private, 128876, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+21, Private, 199698, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 45, United-States, <=50K
+38, Private, 65390, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+46, Private, 128645, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+59, Private, 53481, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K
+55, Private, 92215, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+49, Local-gov, 78859, Masters, 14, Widowed, Prof-specialty, Unmarried, White, Female, 0, 323, 20, United-States, <=50K
+59, Self-emp-inc, 187502, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K
+38, Private, 242080, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K
+22, Private, 41837, Some-college, 10, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 25, United-States, <=50K
+28, Private, 291374, 12th, 8, Never-married, Sales, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+47, Private, 148995, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2415, 60, United-States, >50K
+59, Private, 159008, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 56, United-States, <=50K
+37, Private, 271013, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 199046, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+34, Private, 164280, 10th, 6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Portugal, <=50K
+35, Local-gov, 116960, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1887, 40, United-States, >50K
+55, Private, 100054, 10th, 6, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+18, Private, 183824, 12th, 8, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K
+48, Private, 313925, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 30, United-States, >50K
+48, Private, 379883, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, Cuba, >50K
+70, ?, 92593, Some-college, 10, Widowed, ?, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K
+27, Private, 189777, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+43, Private, 198330, Masters, 14, Widowed, Prof-specialty, Unmarried, Black, Female, 0, 0, 37, United-States, <=50K
+32, Private, 127451, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 38, United-States, >50K
+62, ?, 31577, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 18, United-States, <=50K
+18, ?, 90230, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+50, Private, 301024, Bachelors, 13, Separated, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, >50K
+38, Self-emp-not-inc, 175732, HS-grad, 9, Never-married, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 15, United-States, <=50K
+18, Private, 218889, 9th, 5, Never-married, Other-service, Own-child, Black, Male, 0, 0, 35, United-States, <=50K
+46, Private, 117605, 9th, 5, Divorced, Sales, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+26, Private, 154571, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 45, United-States, >50K
+44, Private, 228057, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, Dominican-Republic, <=50K
+32, Private, 173998, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K
+25, Private, 90752, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K
+55, Private, 51008, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+55, Federal-gov, 113398, Some-college, 10, Never-married, Adm-clerical, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 74977, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K
+40, Private, 101593, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K
+29, Private, 228346, Assoc-voc, 11, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+60, Private, 180418, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+45, Private, 44489, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K
+43, Self-emp-not-inc, 277488, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 30, United-States, <=50K
+24, Private, 103064, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 55, United-States, <=50K
+34, Private, 226872, Bachelors, 13, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+47, Self-emp-not-inc, 330416, Some-college, 10, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+24, Private, 186495, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K
+47, State-gov, 205712, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 38, United-States, <=50K
+18, Private, 217743, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+50, Self-emp-inc, 52565, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 1485, 40, United-States, <=50K
+22, Private, 239954, Some-college, 10, Never-married, Adm-clerical, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+49, Self-emp-not-inc, 349986, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K
+41, Private, 117585, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1485, 40, United-States, >50K
+68, Self-emp-not-inc, 122094, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 15, United-States, <=50K
+62, Self-emp-not-inc, 26857, 7th-8th, 4, Widowed, Farming-fishing, Other-relative, White, Female, 0, 0, 35, United-States, <=50K
+25, Local-gov, 192321, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+24, Private, 88095, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 24, Mexico, <=50K
+44, Private, 144067, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 12, ?, <=50K
+32, Private, 124187, 9th, 5, Married-civ-spouse, Farming-fishing, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+49, Private, 123681, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 43, United-States, >50K
+68, Private, 145638, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+25, Private, 130513, Assoc-acdm, 12, Never-married, Sales, Own-child, White, Female, 0, 0, 40, Peru, <=50K
+47, Federal-gov, 197038, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K
+35, Private, 189092, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+37, Self-emp-not-inc, 198841, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+57, Private, 317969, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K
+37, Private, 103121, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 1848, 40, United-States, >50K
+34, Private, 111589, 10th, 6, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, Jamaica, <=50K
+46, Local-gov, 267952, Assoc-voc, 11, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K
+21, Private, 63899, 11th, 7, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+26, Private, 473625, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 30, United-States, <=50K
+45, Private, 187901, HS-grad, 9, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 2258, 44, United-States, >50K
+17, Private, 24090, HS-grad, 9, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+36, Self-emp-inc, 102729, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 70, United-States, <=50K
+33, Private, 91666, 12th, 8, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 215873, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, Black, Male, 0, 0, 40, United-States, <=50K
+32, Private, 152109, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, <=50K
+24, Private, 175586, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+37, Private, 232614, HS-grad, 9, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K
+53, State-gov, 229465, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+44, Private, 147110, Some-college, 10, Divorced, Adm-clerical, Own-child, White, Male, 14344, 0, 40, United-States, >50K
+43, Local-gov, 161240, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 45, United-States, >50K
+29, Private, 358124, HS-grad, 9, Never-married, Other-service, Other-relative, Black, Female, 0, 0, 52, United-States, <=50K
+47, Private, 222529, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 65, United-States, <=50K
+37, Self-emp-not-inc, 338320, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+43, Self-emp-inc, 62026, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 40, United-States, >50K
+23, Private, 263886, Some-college, 10, Never-married, Sales, Not-in-family, Black, Female, 0, 0, 20, United-States, <=50K
+50, Private, 310774, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 35, United-States, <=50K
+25, Private, 98155, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 259307, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+39, Private, 358753, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 40, United-States, >50K
+41, Private, 29762, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 52, United-States, >50K
+32, Private, 202729, HS-grad, 9, Married-civ-spouse, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+19, Private, 28790, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+26, Private, 53209, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+30, Local-gov, 169020, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+34, Private, 127195, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+41, Private, 211731, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, Mexico, <=50K
+42, Self-emp-not-inc, 126614, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, Other, Male, 0, 0, 30, Iran, <=50K
+45, Private, 259463, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+22, Private, 228411, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+25, Private, 117827, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+22, Federal-gov, 57216, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Male, 0, 0, 20, United-States, <=50K
+46, State-gov, 250821, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 40, United-States, >50K
+48, Self-emp-inc, 88564, Some-college, 10, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+45, Private, 172822, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 52, United-States, >50K
+19, Private, 251579, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 14, United-States, <=50K
+31, Private, 118399, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+30, Self-emp-inc, 178383, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 70, United-States, <=50K
+40, Self-emp-not-inc, 170866, Assoc-acdm, 12, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, >50K
+60, ?, 268954, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 12, United-States, >50K
+52, ?, 89951, 12th, 8, Married-civ-spouse, ?, Wife, Black, Female, 0, 0, 40, United-States, >50K
+22, Private, 203894, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+25, Private, 237065, Some-college, 10, Divorced, Other-service, Own-child, Black, Male, 0, 0, 38, United-States, <=50K
+51, Local-gov, 108435, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 80, United-States, >50K
+32, Private, 93213, Assoc-acdm, 12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 62, United-States, <=50K
+51, Self-emp-inc, 231230, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 25, United-States, <=50K
+42, Private, 386175, Some-college, 10, Divorced, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, >50K
+39, Private, 128392, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 1887, 40, United-States, >50K
+24, Private, 223515, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+52, Private, 208630, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 1741, 38, United-States, <=50K
+58, ?, 97969, 1st-4th, 2, Married-spouse-absent, ?, Unmarried, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K
+43, Private, 174295, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, <=50K
+31, Private, 60229, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 66095, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+31, Federal-gov, 130057, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 60, United-States, >50K
+61, Private, 179743, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 2051, 20, United-States, <=50K
+26, Private, 192022, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+46, Private, 45288, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+62, ?, 178764, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, >50K
+50, Private, 99476, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+18, Private, 41973, 11th, 7, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 5, United-States, <=50K
+23, Private, 162228, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K
+21, Private, 211968, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 1762, 28, United-States, <=50K
+46, Private, 211226, Assoc-acdm, 12, Married-civ-spouse, Transport-moving, Husband, Other, Male, 0, 0, 36, United-States, <=50K
+38, Private, 33397, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+53, Private, 120839, 12th, 8, Divorced, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+53, Private, 36327, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+50, Private, 139703, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+26, Private, 107827, HS-grad, 9, Never-married, Other-service, Unmarried, White, Male, 0, 0, 25, United-States, <=50K
+46, Local-gov, 140219, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 8614, 0, 55, United-States, >50K
+44, Local-gov, 203761, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+36, Local-gov, 114719, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+20, Private, 344394, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+35, Private, 195516, 7th-8th, 4, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+40, State-gov, 31627, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 20, United-States, <=50K
+70, Private, 174032, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+57, Private, 226875, 7th-8th, 4, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K
+40, Private, 566537, Preschool, 1, Married-civ-spouse, Other-service, Husband, White, Male, 0, 1672, 40, Mexico, <=50K
+18, Private, 36162, 11th, 7, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 5, United-States, <=50K
+45, Self-emp-not-inc, 31478, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 2829, 0, 60, United-States, <=50K
+52, Private, 294991, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+24, ?, 108495, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+42, Self-emp-inc, 161532, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 60, United-States, <=50K
+28, Local-gov, 332249, HS-grad, 9, Separated, Transport-moving, Own-child, White, Male, 0, 0, 45, United-States, <=50K
+32, Private, 268147, Assoc-voc, 11, Never-married, Tech-support, Unmarried, White, Female, 0, 0, 60, United-States, <=50K
+56, Federal-gov, 317847, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+44, Private, 52028, 1st-4th, 2, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female, 0, 0, 40, Vietnam, <=50K
+20, Private, 184045, Some-college, 10, Never-married, Sales, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K
+32, Private, 206609, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K
+59, Private, 152968, Some-college, 10, Separated, Adm-clerical, Other-relative, White, Male, 3325, 0, 40, United-States, <=50K
+21, Private, 213015, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, Black, Male, 2176, 0, 40, United-States, <=50K
+32, Private, 313835, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+49, Private, 66385, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 5013, 0, 40, United-States, <=50K
+22, Private, 205940, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 1055, 0, 30, United-States, <=50K
+51, Self-emp-inc, 260938, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+33, Private, 60567, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 3411, 0, 40, United-States, <=50K
+23, Private, 335067, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+34, Private, 331126, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Male, 0, 0, 30, United-States, <=50K
+53, Private, 156612, 12th, 8, Divorced, Transport-moving, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+44, Private, 188436, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, <=50K
+60, Private, 227468, Some-college, 10, Widowed, Protective-serv, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+55, Private, 183580, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 38, United-States, <=50K
+57, Self-emp-not-inc, 50990, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 30, United-States, <=50K
+59, Private, 384246, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K
+26, ?, 375313, Some-college, 10, Never-married, ?, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K
+30, Private, 176410, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Own-child, White, Female, 7298, 0, 16, United-States, >50K
+49, Private, 93639, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 43, United-States, <=50K
+45, Private, 30289, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+29, Self-emp-inc, 124950, Bachelors, 13, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+37, Self-emp-not-inc, 126675, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, >50K
+21, Private, 145964, 12th, 8, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+36, State-gov, 345712, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+18, ?, 97474, HS-grad, 9, Never-married, ?, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+37, Private, 180342, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+19, Private, 167087, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+65, ?, 192825, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 25, United-States, <=50K
+30, Private, 318749, Assoc-voc, 11, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 35, Germany, <=50K
+27, ?, 147638, Masters, 14, Never-married, ?, Not-in-family, Other, Female, 0, 0, 40, Japan, <=50K
+59, Federal-gov, 293971, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K
+32, Private, 229566, Assoc-voc, 11, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 60, United-States, >50K
+25, Private, 242464, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 111067, Bachelors, 13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 80, United-States, >50K
+21, ?, 155697, 9th, 5, Never-married, ?, Own-child, White, Male, 0, 0, 42, United-States, <=50K
+49, Local-gov, 106554, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, >50K
+49, Private, 23776, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+51, ?, 43909, HS-grad, 9, Divorced, ?, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+48, Private, 105808, 9th, 5, Widowed, Transport-moving, Unmarried, White, Male, 0, 0, 40, United-States, >50K
+42, Private, 169995, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K
+53, Private, 141388, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+29, Self-emp-not-inc, 241431, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+21, ?, 78374, HS-grad, 9, Never-married, ?, Other-relative, Asian-Pac-Islander, Female, 0, 0, 24, United-States, <=50K
+54, Self-emp-not-inc, 158948, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 15, United-States, <=50K
+66, Private, 115498, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 55, ?, >50K
+34, Private, 272411, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+39, Private, 30529, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 40, United-States, >50K
+62, ?, 263374, Assoc-voc, 11, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, Canada, <=50K
+30, Private, 190228, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 126060, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+25, Private, 391192, Assoc-voc, 11, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+26, Private, 214069, HS-grad, 9, Separated, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+45, Private, 170871, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 60, United-States, >50K
+55, Private, 118993, Some-college, 10, Separated, Exec-managerial, Unmarried, White, Female, 0, 0, 10, United-States, <=50K
+26, Private, 245880, HS-grad, 9, Never-married, Other-service, Other-relative, White, Male, 0, 0, 40, United-States, <=50K
+45, Private, 174794, Bachelors, 13, Separated, Prof-specialty, Unmarried, White, Female, 0, 0, 56, Germany, <=50K
+61, Local-gov, 153408, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, >50K
+34, ?, 330301, 7th-8th, 4, Separated, ?, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+26, Private, 385278, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 60, United-States, <=50K
+44, Federal-gov, 38434, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+45, Self-emp-not-inc, 111679, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K
+55, Private, 168956, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+20, Private, 86143, Some-college, 10, Never-married, Other-service, Other-relative, Asian-Pac-Islander, Male, 0, 0, 30, United-States, <=50K
+48, Private, 99835, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+33, Private, 263561, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K
+44, Private, 118536, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+32, Self-emp-inc, 209691, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, Canada, <=50K
+54, Private, 123374, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 137225, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+29, Private, 119359, HS-grad, 9, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female, 0, 0, 10, China, >50K
+56, Private, 134153, 10th, 6, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+47, Private, 121124, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+22, Private, 147655, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+46, Private, 165138, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, >50K
+24, Federal-gov, 312017, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 272950, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+49, Private, 259323, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K
+44, Federal-gov, 281739, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 13550, 0, 50, United-States, >50K
+21, Private, 119156, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+55, Private, 165881, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+23, State-gov, 136075, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K
+50, Private, 187465, 11th, 7, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+44, Private, 328561, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Other-relative, White, Female, 0, 0, 20, United-States, <=50K
+48, Private, 350440, Some-college, 10, Married-civ-spouse, Craft-repair, Other-relative, Asian-Pac-Islander, Male, 0, 0, 40, Cambodia, >50K
+38, Self-emp-not-inc, 109133, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 70, United-States, >50K
+48, Private, 109814, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 45, United-States, >50K
+39, Private, 86643, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+52, Federal-gov, 154521, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 44, United-States, >50K
+63, Private, 45912, HS-grad, 9, Widowed, Other-service, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+48, Private, 175070, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 2258, 40, United-States, >50K
+37, Private, 338033, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+26, State-gov, 158963, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+50, Self-emp-inc, 121441, 11th, 7, Never-married, Exec-managerial, Other-relative, White, Male, 0, 2444, 40, United-States, >50K
+47, Self-emp-not-inc, 242391, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 40, United-States, >50K
+19, Private, 119964, HS-grad, 9, Never-married, Craft-repair, Other-relative, White, Female, 0, 0, 15, United-States, <=50K
+34, Private, 193344, Some-college, 10, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, Germany, <=50K
+29, Local-gov, 45554, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+33, Private, 249716, HS-grad, 9, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+53, Private, 58985, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 24, United-States, <=50K
+24, Private, 456367, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+39, Private, 117381, Some-college, 10, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K
+50, Self-emp-not-inc, 240922, Assoc-acdm, 12, Never-married, Sales, Not-in-family, White, Female, 0, 1408, 5, United-States, <=50K
+31, Private, 226443, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 364342, Assoc-voc, 11, Never-married, Sales, Not-in-family, Black, Female, 0, 0, 25, United-States, <=50K
+42, Local-gov, 101593, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 42, United-States, <=50K
+23, Private, 267471, 12th, 8, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+22, Private, 186849, 11th, 7, Divorced, Sales, Own-child, White, Male, 0, 0, 50, United-States, <=50K
+65, Private, 174603, 5th-6th, 3, Widowed, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 10, Italy, <=50K
+34, Private, 115040, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 44, United-States, <=50K
+23, Private, 142766, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 1055, 0, 20, United-States, <=50K
+38, Private, 59660, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 7298, 0, 40, United-States, >50K
+45, Self-emp-not-inc, 49595, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 80, United-States, <=50K
+19, Private, 127491, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+46, Private, 155933, Bachelors, 13, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 1602, 8, United-States, <=50K
+23, Private, 122272, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+37, Private, 143771, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K
+59, Private, 91384, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K
+36, State-gov, 135874, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+35, Private, 207066, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 10520, 0, 45, United-States, >50K
+51, Private, 172493, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 12, United-States, <=50K
+42, Local-gov, 189956, Bachelors, 13, Divorced, Prof-specialty, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K
+35, Private, 106967, Masters, 14, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+20, Private, 200153, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 38, United-States, <=50K
+25, Private, 149943, HS-grad, 9, Never-married, Other-service, Other-relative, Asian-Pac-Islander, Male, 4101, 0, 60, ?, <=50K
+41, Private, 151736, 10th, 6, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+40, Private, 67852, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+36, Private, 54229, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 37, United-States, <=50K
+34, Self-emp-inc, 154120, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K
+44, Self-emp-not-inc, 157217, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K
+31, Federal-gov, 381645, Bachelors, 13, Separated, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+41, Local-gov, 160785, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+43, Private, 133584, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+43, Private, 170230, Masters, 14, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+58, Private, 250206, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 5178, 0, 40, United-States, >50K
+19, Private, 128363, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+43, Local-gov, 163434, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 55, United-States, >50K
+50, Private, 195690, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 45, United-States, <=50K
+44, Self-emp-inc, 138991, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+46, Private, 118419, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Male, 0, 0, 38, United-States, <=50K
+52, Self-emp-not-inc, 185407, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+52, Self-emp-not-inc, 283079, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+18, Private, 119655, 12th, 8, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 12, United-States, <=50K
+29, Private, 153416, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K
+19, ?, 204868, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 36, United-States, <=50K
+34, Private, 220362, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+23, Local-gov, 203078, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+64, State-gov, 104361, Some-college, 10, Separated, Adm-clerical, Not-in-family, White, Female, 0, 0, 65, United-States, <=50K
+68, Private, 274096, 10th, 6, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K
+42, State-gov, 455553, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+41, Private, 112283, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, >50K
+41, Self-emp-inc, 64506, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K
+22, State-gov, 24395, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 20, United-States, <=50K
+67, Self-emp-inc, 182581, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 20051, 0, 20, United-States, >50K
+27, Private, 100669, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, >50K
+25, Private, 178025, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+49, ?, 113913, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 60, United-States, <=50K
+28, Private, 55191, Assoc-acdm, 12, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+51, Federal-gov, 223206, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 15024, 0, 40, Vietnam, >50K
+23, Local-gov, 162551, Bachelors, 13, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Female, 0, 0, 35, China, <=50K
+19, Private, 693066, 12th, 8, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K
+72, ?, 96867, 5th-6th, 3, Widowed, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+33, Private, 256362, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+53, Private, 539864, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K
+35, Private, 241153, Assoc-voc, 11, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 284395, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+18, Private, 180039, 12th, 8, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K
+45, Private, 178416, Assoc-voc, 11, Divorced, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+28, Private, 175710, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 30, ?, <=50K
+22, Local-gov, 164775, 5th-6th, 3, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, Guatemala, >50K
+55, Private, 176897, Some-college, 10, Divorced, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+45, Private, 265097, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 1902, 40, United-States, >50K
+22, Private, 193090, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 37, United-States, <=50K
+37, Private, 186009, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1672, 60, United-States, <=50K
+28, Private, 175262, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+19, Private, 109928, 11th, 7, Never-married, Sales, Own-child, Black, Female, 0, 0, 35, United-States, <=50K
+37, Self-emp-not-inc, 162834, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 1902, 45, United-States, >50K
+50, Private, 177896, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K
+31, Private, 181372, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 35, United-States, <=50K
+40, Private, 70645, Preschool, 1, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K
+51, Private, 128272, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, <=50K
+56, Private, 106723, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+21, Private, 122348, Some-college, 10, Never-married, Tech-support, Own-child, White, Female, 0, 0, 35, United-States, <=50K
+40, Private, 177905, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 44, United-States, >50K
+22, Private, 254547, Some-college, 10, Never-married, Exec-managerial, Unmarried, Black, Female, 0, 0, 40, Jamaica, <=50K
+47, Self-emp-inc, 102308, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2415, 45, United-States, >50K
+44, Private, 33105, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K
+30, Private, 215441, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Other, Male, 0, 0, 40, ?, <=50K
+44, Local-gov, 197919, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+41, Private, 206139, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K
+47, Private, 117849, Assoc-acdm, 12, Divorced, Sales, Own-child, White, Male, 0, 0, 44, United-States, <=50K
+26, Private, 323044, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, Germany, >50K
+34, Private, 90415, Assoc-voc, 11, Never-married, Tech-support, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+47, Private, 294913, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 40, United-States, >50K
+36, Private, 127573, HS-grad, 9, Separated, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K
+21, Private, 180190, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 46, United-States, <=50K
+45, State-gov, 231013, Bachelors, 13, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+33, Private, 356015, HS-grad, 9, Separated, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 35, Hong, <=50K
+33, Private, 198069, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K
+58, Self-emp-not-inc, 99141, HS-grad, 9, Divorced, Farming-fishing, Unmarried, White, Female, 0, 0, 10, United-States, <=50K
+31, Private, 188246, Assoc-acdm, 12, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, >50K
+32, Self-emp-not-inc, 116508, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, >50K
+44, Federal-gov, 38434, Bachelors, 13, Widowed, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, >50K
+24, Private, 128477, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+35, Private, 91839, Bachelors, 13, Married-civ-spouse, Other-service, Husband, Amer-Indian-Eskimo, Male, 7688, 0, 20, United-States, >50K
+43, Private, 409922, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 50, United-States, >50K
+49, Private, 185041, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+37, Self-emp-not-inc, 103925, Bachelors, 13, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 50, United-States, <=50K
+42, Self-emp-not-inc, 34037, Bachelors, 13, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+31, Private, 251659, Some-college, 10, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 1485, 55, ?, >50K
+19, Private, 57145, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+41, Private, 182108, Doctorate, 16, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, >50K
+51, Self-emp-inc, 213296, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 30, United-States, <=50K
+51, Self-emp-inc, 28765, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K
+63, Private, 37792, 10th, 6, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 31, United-States, <=50K
+39, Federal-gov, 232036, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K
+30, Private, 33678, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+62, Without-pay, 159908, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 16, United-States, <=50K
+27, Private, 176761, HS-grad, 9, Never-married, Craft-repair, Other-relative, Other, Male, 0, 0, 40, Nicaragua, <=50K
+32, Private, 260954, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 2042, 30, United-States, <=50K
+37, Local-gov, 180342, Bachelors, 13, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, >50K
+47, Local-gov, 324791, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1887, 50, United-States, >50K
+31, Private, 183801, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 43, United-States, >50K
+42, Private, 204235, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 249720, Assoc-voc, 11, Married-spouse-absent, Sales, Unmarried, Black, Female, 0, 0, 32, United-States, <=50K
+60, Private, 127084, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 2042, 34, United-States, <=50K
+42, Local-gov, 201495, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 72, United-States, >50K
+38, Private, 447346, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 36, United-States, >50K
+24, Private, 206008, Assoc-acdm, 12, Never-married, Prof-specialty, Own-child, Black, Male, 0, 0, 20, United-States, <=50K
+34, Private, 286020, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, <=50K
+20, ?, 99891, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 30, United-States, <=50K
+29, Local-gov, 169544, Some-college, 10, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 48, United-States, <=50K
+90, Private, 313749, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 25, United-States, <=50K
+55, Private, 89182, 12th, 8, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, Italy, <=50K
+36, Private, 258102, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+49, Private, 255466, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K
+50, Private, 38795, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K
+17, Private, 311907, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 25, United-States, <=50K
+54, Private, 171924, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 70, United-States, <=50K
+26, Private, 164488, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 10, United-States, <=50K
+44, Private, 297991, Assoc-acdm, 12, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 50, United-States, <=50K
+28, Private, 478315, Bachelors, 13, Never-married, Prof-specialty, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+54, Local-gov, 34832, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K
+21, Private, 67804, 9th, 5, Never-married, Machine-op-inspct, Own-child, Black, Male, 0, 0, 20, United-States, <=50K
+24, Private, 34568, Assoc-voc, 11, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 47151, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 56, United-States, <=50K
+59, ?, 120617, Some-college, 10, Never-married, ?, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+41, Private, 318046, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 48, United-States, >50K
+29, Private, 363963, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+50, Private, 92811, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K
+32, Private, 33678, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K
+42, Private, 66118, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+47, Private, 160474, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 30, United-States, >50K
+44, Private, 159960, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+49, Private, 242987, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, Columbia, <=50K
+61, Private, 232719, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K
+65, Local-gov, 103153, 7th-8th, 4, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1411, 40, United-States, <=50K
+45, Local-gov, 162187, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K
+59, Private, 207391, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+30, Never-worked, 176673, HS-grad, 9, Married-civ-spouse, ?, Wife, Black, Female, 0, 0, 40, United-States, <=50K
+34, Private, 356882, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K
+24, Private, 427686, 1st-4th, 2, Married-civ-spouse, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K
+42, Self-emp-inc, 191196, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 60, ?, >50K
+37, Private, 377798, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 3103, 0, 40, United-States, >50K
+36, Private, 43712, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+21, ?, 205939, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+54, Private, 161691, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 2559, 40, United-States, >50K
+34, Private, 346034, 12th, 8, Married-spouse-absent, Handlers-cleaners, Unmarried, White, Male, 0, 0, 35, Mexico, <=50K
+41, Private, 144460, Some-college, 10, Divorced, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, Italy, <=50K
+18, Never-worked, 153663, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 4, United-States, <=50K
+26, Private, 262617, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, <=50K
+23, Federal-gov, 173851, HS-grad, 9, Never-married, Armed-Forces, Not-in-family, White, Male, 0, 0, 8, United-States, <=50K
+63, ?, 126540, Some-college, 10, Divorced, ?, Not-in-family, White, Female, 0, 0, 5, United-States, <=50K
+34, Private, 117963, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K
+54, Private, 219737, HS-grad, 9, Widowed, Sales, Not-in-family, White, Female, 0, 0, 37, United-States, <=50K
+37, Private, 328466, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 72, Mexico, <=50K
+54, State-gov, 138852, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+22, Local-gov, 195532, Some-college, 10, Never-married, Protective-serv, Other-relative, White, Female, 0, 0, 43, United-States, <=50K
+32, Private, 188246, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+42, State-gov, 138162, Some-college, 10, Divorced, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+31, State-gov, 110714, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 37, United-States, <=50K
+48, Private, 123075, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K
+28, Private, 330466, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, Hong, <=50K
+31, Private, 254304, 10th, 6, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K
+28, Private, 435842, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K
+24, Private, 118657, 12th, 8, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K
+50, Private, 278188, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+26, Private, 233777, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 72, Mexico, <=50K
+37, Self-emp-inc, 328466, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K
+24, Private, 176580, 5th-6th, 3, Married-spouse-absent, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K
+18, ?, 156608, 11th, 7, Never-married, ?, Own-child, White, Female, 0, 0, 25, United-States, <=50K
+32, Private, 172415, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+23, Private, 194951, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 55, Ireland, <=50K
+33, Local-gov, 318921, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K
+49, Private, 189462, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+75, Self-emp-not-inc, 192813, Masters, 14, Widowed, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K
+74, Self-emp-not-inc, 199136, Bachelors, 13, Widowed, Craft-repair, Not-in-family, White, Male, 15831, 0, 8, Germany, >50K
+26, Private, 156805, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+66, ?, 93318, HS-grad, 9, Widowed, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+34, Private, 121966, Bachelors, 13, Married-spouse-absent, Adm-clerical, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+18, Private, 347336, 12th, 8, Never-married, Other-service, Own-child, White, Male, 0, 0, 12, United-States, <=50K
+33, Private, 205950, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+36, State-gov, 212143, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 20, United-States, >50K
+44, Private, 187821, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 55, United-States, <=50K
+36, Private, 250807, 11th, 7, Never-married, Craft-repair, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+53, Private, 291755, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+60, Private, 36077, 7th-8th, 4, Married-spouse-absent, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+28, Private, 119793, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Portugal, <=50K
+36, Private, 184655, 10th, 6, Divorced, Transport-moving, Unmarried, White, Male, 0, 0, 48, United-States, <=50K
+35, Private, 162256, Assoc-voc, 11, Divorced, Adm-clerical, Not-in-family, White, Female, 6849, 0, 40, United-States, <=50K
+45, Self-emp-not-inc, 204405, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 20, United-States, <=50K
+23, Private, 133355, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 15, United-States, <=50K
+35, Private, 89559, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 55, United-States, <=50K
+34, Private, 115066, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 42, United-States, >50K
+46, Private, 139514, Preschool, 1, Married-civ-spouse, Machine-op-inspct, Other-relative, Black, Male, 0, 0, 75, Dominican-Republic, <=50K
+58, State-gov, 200316, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+55, Local-gov, 166502, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+63, Private, 226422, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+41, Self-emp-not-inc, 251305, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+45, Private, 190482, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 76, United-States, <=50K
+41, Private, 122215, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 40, United-States, >50K
+42, Private, 248356, HS-grad, 9, Never-married, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+90, Local-gov, 214594, 7th-8th, 4, Married-civ-spouse, Protective-serv, Husband, White, Male, 2653, 0, 40, United-States, <=50K
+41, Private, 220460, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 174043, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+53, Self-emp-not-inc, 137547, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 27828, 0, 40, Philippines, >50K
+49, Self-emp-not-inc, 111959, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, Scotland, >50K
+51, Private, 40641, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K
+22, Private, 205940, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+23, Private, 265077, Assoc-voc, 11, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+59, Private, 395736, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K
+40, Private, 306225, HS-grad, 9, Divorced, Craft-repair, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, Japan, <=50K
+28, Private, 180299, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 70, United-States, <=50K
+39, Private, 214896, HS-grad, 9, Separated, Other-service, Not-in-family, White, Female, 0, 0, 40, El-Salvador, <=50K
+25, Private, 273792, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 37, United-States, <=50K
+48, State-gov, 224474, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+62, Private, 271431, 9th, 5, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 42, United-States, <=50K
+44, Local-gov, 150171, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+28, Federal-gov, 381789, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+62, Private, 170984, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K
+32, Private, 108256, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+59, Federal-gov, 23789, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, >50K
+20, Private, 176321, Some-college, 10, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 20, United-States, <=50K
+40, Private, 260425, Assoc-acdm, 12, Separated, Tech-support, Unmarried, White, Female, 1471, 0, 32, United-States, <=50K
+47, Private, 248059, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 47, United-States, >50K
+60, Private, 56248, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+55, Private, 199763, HS-grad, 9, Separated, Protective-serv, Not-in-family, White, Male, 0, 0, 81, United-States, <=50K
+18, Private, 200047, 12th, 8, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 35, United-States, <=50K
+43, Private, 191712, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 1741, 40, United-States, <=50K
+31, Self-emp-not-inc, 156033, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K
+22, Private, 173736, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+56, Private, 135458, HS-grad, 9, Divorced, Tech-support, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K
+41, Private, 185660, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+24, Private, 222005, HS-grad, 9, Never-married, Other-service, Other-relative, White, Male, 0, 0, 30, United-States, <=50K
+42, Private, 161510, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 7298, 0, 40, United-States, >50K
+53, Local-gov, 186303, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 1887, 40, United-States, >50K
+52, Local-gov, 143533, 7th-8th, 4, Never-married, Other-service, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K
+42, Private, 288154, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 89, United-States, >50K
+48, Private, 325372, 1st-4th, 2, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Portugal, <=50K
+35, Private, 379959, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+33, Private, 168387, 11th, 7, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+20, Private, 234640, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+33, Private, 232475, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 45, United-States, <=50K
+30, Private, 205152, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 112115, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+29, Private, 183854, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K
+26, Private, 164386, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 48, United-States, <=50K
+61, Private, 149620, Some-college, 10, Divorced, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+45, Private, 199590, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, ?, <=50K
+29, Private, 83742, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 45, United-States, <=50K
+57, Self-emp-not-inc, 65080, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K
+33, Private, 191335, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1902, 50, United-States, >50K
+20, Private, 227778, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 56, United-States, <=50K
+26, Private, 48280, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+36, Private, 66304, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K
+23, Private, 45834, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+31, Private, 298995, HS-grad, 9, Married-civ-spouse, Other-service, Wife, Black, Female, 0, 0, 35, United-States, <=50K
+47, Private, 161950, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 32, United-States, <=50K
+61, Private, 98776, 11th, 7, Widowed, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K
+35, Private, 102268, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K
+23, Private, 180771, 1st-4th, 2, Married-civ-spouse, Machine-op-inspct, Wife, Amer-Indian-Eskimo, Female, 0, 0, 35, Mexico, <=50K
+20, ?, 203992, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+41, Private, 206878, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 32, United-States, <=50K
+39, Federal-gov, 110622, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K
+51, Local-gov, 203334, Doctorate, 16, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, >50K
+61, Self-emp-not-inc, 50483, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 56, United-States, <=50K
+51, Private, 274502, 7th-8th, 4, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K
+36, Private, 208068, Preschool, 1, Divorced, Other-service, Not-in-family, Other, Male, 0, 0, 72, Mexico, <=50K
+41, Self-emp-not-inc, 168098, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K
+34, Private, 213307, HS-grad, 9, Never-married, Handlers-cleaners, Unmarried, White, Female, 7443, 0, 35, United-States, <=50K
+25, Private, 175128, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+37, Private, 40955, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K
+19, Private, 60890, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 49, United-States, <=50K
+66, Self-emp-not-inc, 102686, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 20, United-States, >50K
+23, Private, 190273, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+30, Self-emp-not-inc, 176185, Some-college, 10, Married-spouse-absent, Craft-repair, Own-child, White, Male, 0, 0, 60, United-States, >50K
+53, Private, 304504, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1887, 45, United-States, >50K
+25, Private, 390657, Some-college, 10, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+18, Private, 41381, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 1602, 20, United-States, <=50K
+51, Private, 101432, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+61, Private, 190682, HS-grad, 9, Widowed, Craft-repair, Not-in-family, Black, Female, 0, 1669, 50, United-States, <=50K
+53, Private, 158993, HS-grad, 9, Widowed, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 38, United-States, <=50K
+17, Private, 117798, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+61, Private, 137554, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+44, Self-emp-inc, 71556, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, ?, >50K
+38, Private, 257416, 9th, 5, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+40, Private, 195617, Some-college, 10, Separated, Exec-managerial, Unmarried, White, Female, 0, 0, 20, United-States, <=50K
+32, Private, 236318, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 32, United-States, <=50K
+46, Private, 42251, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K
+50, Private, 257933, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+36, Self-emp-not-inc, 109133, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K
+30, Self-emp-not-inc, 261943, 11th, 7, Married-spouse-absent, Craft-repair, Not-in-family, White, Male, 0, 0, 30, Honduras, <=50K
+33, Private, 139057, Masters, 14, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male, 0, 0, 50, United-States, >50K
+36, Private, 237943, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 45, United-States, >50K
+85, Private, 98611, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 3, Poland, <=50K
+62, Private, 128092, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K
+24, Private, 284317, Bachelors, 13, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K
+48, Self-emp-inc, 185041, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 50, United-States, >50K
+58, Local-gov, 223214, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+45, Self-emp-inc, 173664, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K
+66, Private, 269665, HS-grad, 9, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K
+37, Private, 121521, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 45, United-States, >50K
+55, Private, 199713, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, <=50K
+39, Self-emp-not-inc, 193689, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K
+58, Self-emp-inc, 181974, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 99, ?, <=50K
+50, Private, 485710, Doctorate, 16, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K
+28, Private, 185647, Some-college, 10, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K
+34, Private, 30673, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, <=50K
+41, Federal-gov, 160467, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 1506, 0, 40, United-States, <=50K
+36, Private, 186819, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 52, United-States, >50K
+22, Private, 67234, HS-grad, 9, Never-married, Handlers-cleaners, Unmarried, White, Male, 0, 0, 45, United-States, <=50K
+35, Private, 30673, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 84, United-States, <=50K
+49, ?, 114648, 12th, 8, Divorced, ?, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K
+21, Private, 182117, Assoc-acdm, 12, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+64, State-gov, 222966, 7th-8th, 4, Married-civ-spouse, Other-service, Wife, Black, Female, 0, 0, 40, United-States, <=50K
+41, Private, 201495, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+52, Private, 301229, Assoc-voc, 11, Separated, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+32, Private, 157747, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 155382, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K
+48, Private, 268083, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+28, Private, 113987, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, United-States, <=50K
+24, Private, 216984, Some-college, 10, Married-civ-spouse, Other-service, Own-child, Asian-Pac-Islander, Female, 0, 0, 35, United-States, <=50K
+51, Private, 177669, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K
+32, Private, 164190, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+61, Private, 355645, HS-grad, 9, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+60, ?, 134152, 9th, 5, Divorced, ?, Not-in-family, Black, Male, 0, 0, 35, United-States, <=50K
+33, Private, 63079, HS-grad, 9, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K
+42, Self-emp-not-inc, 217597, HS-grad, 9, Divorced, Sales, Own-child, White, Male, 0, 0, 50, ?, <=50K
+24, Private, 381895, 11th, 7, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+82, ?, 403910, HS-grad, 9, Never-married, ?, Not-in-family, White, Male, 0, 0, 3, United-States, <=50K
+26, Private, 179010, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K
+18, Private, 436163, 11th, 7, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+34, Private, 321709, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 28, United-States, <=50K
+57, Private, 153918, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+25, Private, 403788, HS-grad, 9, Never-married, Craft-repair, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K
+34, Private, 60567, 11th, 7, Divorced, Transport-moving, Unmarried, White, Male, 0, 880, 60, United-States, <=50K
+71, Private, 138145, 9th, 5, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K
+35, Local-gov, 79649, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K
+47, Private, 312088, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+50, Private, 208630, Masters, 14, Divorced, Sales, Not-in-family, White, Female, 0, 0, 50, United-States, >50K
+33, Private, 182401, 10th, 6, Never-married, Adm-clerical, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K
+38, Private, 32916, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, >50K
+50, Private, 302372, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K
+45, Private, 155093, 10th, 6, Divorced, Other-service, Not-in-family, Black, Female, 0, 0, 38, Dominican-Republic, <=50K
+32, Private, 192965, HS-grad, 9, Separated, Sales, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K
+39, Private, 107302, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, ?, >50K
+25, Local-gov, 514716, Bachelors, 13, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K
+20, Private, 270436, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+46, Private, 42972, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 22, United-States, >50K
+40, Private, 142657, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 45, United-States, <=50K
+66, Federal-gov, 47358, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 3471, 0, 40, United-States, <=50K
+30, Private, 176175, Assoc-voc, 11, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 24, United-States, <=50K
+36, Private, 131459, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K
+57, Local-gov, 110417, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 99999, 0, 40, United-States, >50K
+46, Private, 364548, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 48, United-States, >50K
+27, Private, 177398, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 64, United-States, <=50K
+33, Private, 273243, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K
+58, Private, 147707, 11th, 7, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K
+30, Private, 77266, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K
+26, Private, 191648, Assoc-acdm, 12, Never-married, Machine-op-inspct, Other-relative, White, Female, 0, 0, 15, United-States, <=50K
+81, ?, 120478, Assoc-voc, 11, Divorced, ?, Unmarried, White, Female, 0, 0, 1, ?, <=50K
+32, Private, 211349, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K
+22, Private, 203715, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K
+31, Private, 292592, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, United-States, <=50K
+29, Private, 125976, HS-grad, 9, Separated, Sales, Unmarried, White, Female, 0, 0, 35, United-States, <=50K
+35, ?, 320084, Bachelors, 13, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 55, United-States, >50K
+30, ?, 33811, Bachelors, 13, Never-married, ?, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 99, United-States, <=50K
+34, Private, 204461, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K
+54, Private, 337992, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 50, Japan, >50K
+37, Private, 179137, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 39, United-States, <=50K
+22, Private, 325033, 12th, 8, Never-married, Protective-serv, Own-child, Black, Male, 0, 0, 35, United-States, <=50K
+34, Private, 160216, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 55, United-States, >50K
+30, Private, 345898, HS-grad, 9, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 46, United-States, <=50K
+38, Private, 139180, Bachelors, 13, Divorced, Prof-specialty, Unmarried, Black, Female, 15020, 0, 45, United-States, >50K
+71, ?, 287372, Doctorate, 16, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 10, United-States, >50K
+45, State-gov, 252208, HS-grad, 9, Separated, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K
+41, ?, 202822, HS-grad, 9, Separated, ?, Not-in-family, Black, Female, 0, 0, 32, United-States, <=50K
+72, ?, 129912, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 25, United-States, <=50K
+45, Local-gov, 119199, Assoc-acdm, 12, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 48, United-States, <=50K
+31, Private, 199655, Masters, 14, Divorced, Other-service, Not-in-family, Other, Female, 0, 0, 30, United-States, <=50K
+39, Local-gov, 111499, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 20, United-States, >50K
+37, Private, 198216, Assoc-acdm, 12, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K
+43, Private, 260761, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K
+65, Self-emp-not-inc, 99359, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 1086, 0, 60, United-States, <=50K
+43, State-gov, 255835, Some-college, 10, Divorced, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K
+43, Self-emp-not-inc, 27242, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K
+32, Private, 34066, 10th, 6, Married-civ-spouse, Handlers-cleaners, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K
+43, Private, 84661, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K
+32, Private, 116138, Masters, 14, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 11, Taiwan, <=50K
+53, Private, 321865, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K
+22, Private, 310152, Some-college, 10, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K
+27, Private, 257302, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 38, United-States, <=50K
+40, Private, 154374, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K
+58, Private, 151910, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K
+22, Private, 201490, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 20, United-States, <=50K
+52, Self-emp-inc, 287927, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 15024, 0, 40, United-States, >50K
+
diff --git a/alg/dpbag/data/adult.test b/alg/dpbag/data/adult.test
new file mode 100644
index 00000000..d23e5471
--- /dev/null
+++ b/alg/dpbag/data/adult.test
@@ -0,0 +1,16282 @@
+25, Private, 226802, 11th, 7, Never-married, Machine-op-inspct, Own-child, Black, Male, 0, 0, 40, United-States, <=50K.
+38, Private, 89814, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+28, Local-gov, 336951, Assoc-acdm, 12, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K.
+44, Private, 160323, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 7688, 0, 40, United-States, >50K.
+18, ?, 103497, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 30, United-States, <=50K.
+34, Private, 198693, 10th, 6, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K.
+29, ?, 227026, HS-grad, 9, Never-married, ?, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K.
+63, Self-emp-not-inc, 104626, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 3103, 0, 32, United-States, >50K.
+24, Private, 369667, Some-college, 10, Never-married, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+55, Private, 104996, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 10, United-States, <=50K.
+65, Private, 184454, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 6418, 0, 40, United-States, >50K.
+36, Federal-gov, 212465, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+26, Private, 82091, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 39, United-States, <=50K.
+58, ?, 299831, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 35, United-States, <=50K.
+48, Private, 279724, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 3103, 0, 48, United-States, >50K.
+43, Private, 346189, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+20, State-gov, 444554, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 25, United-States, <=50K.
+43, Private, 128354, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 30, United-States, <=50K.
+37, Private, 60548, HS-grad, 9, Widowed, Machine-op-inspct, Unmarried, White, Female, 0, 0, 20, United-States, <=50K.
+40, Private, 85019, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 45, ?, >50K.
+34, Private, 107914, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 47, United-States, >50K.
+34, Private, 238588, Some-college, 10, Never-married, Other-service, Own-child, Black, Female, 0, 0, 35, United-States, <=50K.
+72, ?, 132015, 7th-8th, 4, Divorced, ?, Not-in-family, White, Female, 0, 0, 6, United-States, <=50K.
+25, Private, 220931, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 43, Peru, <=50K.
+25, Private, 205947, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+45, Self-emp-not-inc, 432824, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 90, United-States, >50K.
+22, Private, 236427, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 20, United-States, <=50K.
+23, Private, 134446, HS-grad, 9, Separated, Machine-op-inspct, Unmarried, Black, Male, 0, 0, 54, United-States, <=50K.
+54, Private, 99516, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K.
+32, Self-emp-not-inc, 109282, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K.
+46, State-gov, 106444, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 7688, 0, 38, United-States, >50K.
+56, Self-emp-not-inc, 186651, 11th, 7, Widowed, Other-service, Unmarried, White, Female, 0, 0, 50, United-States, <=50K.
+24, Self-emp-not-inc, 188274, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+23, Local-gov, 258120, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+26, Private, 43311, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+65, ?, 191846, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+36, Local-gov, 403681, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+22, Private, 248446, 5th-6th, 3, Never-married, Priv-house-serv, Not-in-family, White, Male, 0, 0, 50, Guatemala, <=50K.
+17, Private, 269430, 10th, 6, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+20, Private, 257509, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+65, Private, 136384, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K.
+44, Self-emp-inc, 120277, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K.
+36, Private, 465326, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+29, Private, 103634, 11th, 7, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+20, State-gov, 138371, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 32, United-States, <=50K.
+28, Private, 242832, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 36, United-States, >50K.
+39, Private, 290208, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Mexico, <=50K.
+54, Private, 186272, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 3908, 0, 50, United-States, <=50K.
+52, Private, 201062, 11th, 7, Separated, Priv-house-serv, Not-in-family, Black, Female, 0, 0, 18, United-States, <=50K.
+56, Self-emp-inc, 131916, HS-grad, 9, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K.
+18, Private, 54440, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K.
+39, Private, 280215, HS-grad, 9, Divorced, Handlers-cleaners, Own-child, Black, Male, 0, 0, 40, United-States, <=50K.
+21, Private, 214399, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 1721, 24, United-States, <=50K.
+22, Private, 54164, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 14084, 0, 60, United-States, >50K.
+38, Private, 219446, 9th, 5, Married-spouse-absent, Exec-managerial, Not-in-family, White, Male, 0, 0, 54, Mexico, <=50K.
+21, Private, 110677, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+63, Private, 145985, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+34, Local-gov, 382078, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 3103, 0, 50, United-States, >50K.
+42, Self-emp-inc, 170721, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 5178, 0, 50, United-States, >50K.
+33, Private, 269705, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+30, Private, 101135, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K.
+39, Private, 118429, Some-college, 10, Divorced, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+26, Private, 31208, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+33, Private, 281384, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+47, Local-gov, 171807, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+41, Private, 109912, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, ?, <=50K.
+41, Self-emp-inc, 445382, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 15024, 0, 60, United-States, >50K.
+19, Private, 105460, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K.
+46, Private, 170338, HS-grad, 9, Separated, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+43, Private, 102606, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 48, United-States, <=50K.
+55, Private, 323887, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 45, United-States, >50K.
+46, Private, 175622, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+30, Private, 229636, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K.
+21, Private, 388946, Some-college, 10, Separated, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+46, Private, 269034, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Other, Male, 0, 0, 40, Dominican-Republic, <=50K.
+17, ?, 165361, 10th, 6, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+41, Private, 75012, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+69, Self-emp-inc, 174379, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 30, United-States, <=50K.
+50, Private, 312477, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+20, Private, 72055, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+45, Self-emp-inc, 67001, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+23, Private, 213734, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+24, Private, 83141, Some-college, 10, Separated, Other-service, Not-in-family, White, Male, 0, 1876, 40, United-States, <=50K.
+44, Self-emp-inc, 223881, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 99999, 0, 50, ?, >50K.
+31, Self-emp-not-inc, 113752, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+43, Private, 170482, HS-grad, 9, Separated, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 44, United-States, <=50K.
+20, Federal-gov, 244689, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 10, United-States, <=50K.
+55, Private, 160631, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 56, United-States, >50K.
+24, Federal-gov, 228724, Some-college, 10, Never-married, Armed-Forces, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+41, ?, 38434, Masters, 14, Married-civ-spouse, ?, Wife, White, Female, 7688, 0, 10, United-States, >50K.
+59, Private, 292946, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K.
+49, Federal-gov, 77443, 7th-8th, 4, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 20, United-States, <=50K.
+33, Private, 176410, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 5178, 0, 10, United-States, >50K.
+59, Federal-gov, 98984, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+34, Private, 198751, Masters, 14, Never-married, Other-service, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K.
+20, Private, 479296, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+25, Private, 235218, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+49, Private, 164877, 10th, 6, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+59, Private, 272087, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K.
+20, Private, 169699, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+51, ?, 189762, Some-college, 10, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 18, United-States, <=50K.
+33, Private, 202191, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K.
+22, Private, 212261, Some-college, 10, Never-married, Transport-moving, Own-child, Black, Male, 0, 0, 39, United-States, <=50K.
+58, Self-emp-not-inc, 301568, 9th, 5, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+52, Local-gov, 155233, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 28, United-States, <=50K.
+36, Private, 75826, 10th, 6, Separated, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+41, Local-gov, 201520, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+28, Private, 154236, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 2597, 0, 40, United-States, <=50K.
+19, Private, 289227, Some-college, 10, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 16, United-States, <=50K.
+18, Private, 217439, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 28, United-States, <=50K.
+18, Private, 179020, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 48, United-States, <=50K.
+28, Private, 149624, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+29, Private, 337266, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+20, ?, 30796, HS-grad, 9, Never-married, ?, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+40, Private, 103541, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+26, Private, 206721, HS-grad, 9, Never-married, Handlers-cleaners, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+46, Private, 96773, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+23, Private, 200967, 11th, 7, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K.
+44, Private, 180019, HS-grad, 9, Married-spouse-absent, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+43, Private, 179866, Bachelors, 13, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, >50K.
+31, Local-gov, 198770, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 60, United-States, <=50K.
+18, Private, 219256, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K.
+19, Private, 248730, Some-college, 10, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 30, United-States, <=50K.
+41, Private, 110732, Some-college, 10, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+41, Private, 181020, HS-grad, 9, Divorced, Handlers-cleaners, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+69, Private, 183791, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K.
+48, Federal-gov, 42972, Doctorate, 16, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K.
+28, Private, 134813, HS-grad, 9, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+27, Self-emp-not-inc, 115438, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, Ireland, >50K.
+41, Private, 239296, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2415, 50, United-States, >50K.
+41, Private, 428420, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+24, Private, 247846, HS-grad, 9, Never-married, Craft-repair, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+20, ?, 334105, HS-grad, 9, Never-married, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+42, Self-emp-inc, 100793, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 41, United-States, >50K.
+57, Private, 244478, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 48, United-States, <=50K.
+30, Private, 142921, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+36, Private, 182863, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K.
+49, Private, 171128, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+33, Private, 145402, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 35, United-States, <=50K.
+23, Private, 306309, 10th, 6, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+46, Private, 83822, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+18, Private, 262118, Some-college, 10, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female, 0, 0, 22, Germany, <=50K.
+40, Private, 155972, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 55, United-States, >50K.
+43, Self-emp-inc, 214503, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 45, United-States, >50K.
+34, Private, 159303, Masters, 14, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 30, United-States, <=50K.
+47, Self-emp-not-inc, 174995, HS-grad, 9, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K.
+44, Private, 26669, Assoc-voc, 11, Widowed, Exec-managerial, Unmarried, White, Female, 0, 0, 30, United-States, <=50K.
+33, Private, 177727, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K.
+55, Private, 124771, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K.
+19, Private, 456736, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 2907, 0, 30, United-States, <=50K.
+28, Private, 216604, Some-college, 10, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 14, United-States, <=50K.
+27, Private, 221561, 11th, 7, Married-civ-spouse, Other-service, Wife, Black, Female, 0, 0, 32, United-States, <=50K.
+50, Private, 114564, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 20, United-States, <=50K.
+22, Private, 315476, 11th, 7, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+40, State-gov, 67874, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 1887, 45, United-States, >50K.
+25, Private, 126110, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+26, Local-gov, 102264, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+22, Private, 537222, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K.
+42, Private, 113732, Some-college, 10, Never-married, Handlers-cleaners, Unmarried, Black, Female, 0, 625, 40, United-States, <=50K.
+38, Self-emp-inc, 93225, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+55, Private, 43064, 11th, 7, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 30, United-States, <=50K.
+32, Private, 136921, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+22, Private, 388885, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+29, Private, 142249, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+46, State-gov, 56841, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K.
+31, Private, 156493, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+58, Self-emp-not-inc, 159021, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 16, United-States, >50K.
+42, Private, 190910, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+18, Private, 41879, HS-grad, 9, Never-married, Handlers-cleaners, Unmarried, White, Male, 0, 0, 25, United-States, <=50K.
+58, Local-gov, 137249, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 33, United-States, <=50K.
+54, Private, 236157, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1887, 40, United-States, >50K.
+34, Private, 189759, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+26, Private, 239877, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+61, Private, 21175, 12th, 8, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+48, Local-gov, 67229, Masters, 14, Separated, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+36, Private, 236391, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K.
+24, Private, 325596, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+40, Private, 83411, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 37, United-States, <=50K.
+33, Self-emp-inc, 154227, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K.
+37, Private, 248010, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 1887, 40, United-States, >50K.
+34, Private, 198613, Masters, 14, Never-married, Exec-managerial, Own-child, White, Male, 4650, 0, 40, United-States, <=50K.
+56, Self-emp-inc, 321529, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 40, United-States, >50K.
+28, ?, 168524, HS-grad, 9, Married-civ-spouse, ?, Own-child, White, Female, 0, 0, 38, United-States, >50K.
+37, Private, 203079, Bachelors, 13, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K.
+44, Private, 284652, HS-grad, 9, Divorced, Sales, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+64, ?, 201368, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 8, United-States, <=50K.
+54, Private, 59840, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+23, Private, 52753, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+34, State-gov, 513100, Bachelors, 13, Married-spouse-absent, Farming-fishing, Not-in-family, Black, Male, 0, 0, 40, ?, <=50K.
+22, Private, 199266, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K.
+33, Private, 196385, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 40, United-States, >50K.
+39, Private, 163205, Bachelors, 13, Separated, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, >50K.
+47, Private, 411047, Some-college, 10, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 0, 37, United-States, <=50K.
+79, ?, 48574, 7th-8th, 4, Widowed, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+26, Private, 209440, HS-grad, 9, Never-married, Prof-specialty, Unmarried, Black, Female, 0, 0, 55, United-States, <=50K.
+31, Private, 56964, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+44, Private, 299197, Some-college, 10, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+42, Self-emp-inc, 240628, Prof-school, 15, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 50, United-States, >50K.
+19, Private, 355313, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+27, Private, 132267, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K.
+51, Local-gov, 174861, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K.
+28, Self-emp-inc, 142443, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+57, Private, 26716, Bachelors, 13, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+45, Local-gov, 185588, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+50, Private, 175029, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+34, Self-emp-inc, 34848, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 54, United-States, <=50K.
+45, Private, 411273, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+73, Local-gov, 143437, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 20, United-States, <=50K.
+34, Private, 357145, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 50, United-States, >50K.
+31, Private, 236861, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K.
+19, Private, 53355, 11th, 7, Never-married, Sales, Not-in-family, White, Male, 0, 0, 12, United-States, <=50K.
+25, Private, 29106, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 50, United-States, <=50K.
+38, Federal-gov, 213274, Assoc-voc, 11, Divorced, Craft-repair, Unmarried, White, Female, 6497, 0, 40, United-States, <=50K.
+39, Private, 22463, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+23, Private, 180497, Bachelors, 13, Never-married, Tech-support, Own-child, Black, Female, 0, 0, 32, United-States, <=50K.
+49, Private, 37306, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+33, Federal-gov, 137814, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 32, United-States, <=50K.
+21, Private, 447488, 5th-6th, 3, Never-married, Machine-op-inspct, Other-relative, White, Male, 0, 0, 38, Mexico, <=50K.
+31, Private, 220915, Assoc-voc, 11, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+23, Private, 42251, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K.
+34, Private, 162312, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K.
+25, Private, 77698, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K.
+39, Private, 282951, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+52, Self-emp-inc, 311259, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K.
+63, Local-gov, 65479, 9th, 5, Married-civ-spouse, Transport-moving, Husband, White, Male, 7688, 0, 40, United-States, >50K.
+41, Private, 277256, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+46, Private, 312088, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 38, United-States, >50K.
+53, Local-gov, 169719, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+25, ?, 270276, 9th, 5, Separated, ?, Not-in-family, White, Female, 1055, 0, 40, United-States, <=50K.
+77, ?, 172744, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 35, United-States, <=50K.
+18, Private, 96869, 12th, 8, Never-married, Priv-house-serv, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+38, Private, 237943, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+55, Private, 119751, Masters, 14, Never-married, Exec-managerial, Unmarried, Asian-Pac-Islander, Female, 0, 0, 50, Thailand, <=50K.
+34, Private, 236861, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K.
+80, Self-emp-not-inc, 201092, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 30, United-States, <=50K.
+34, Private, 147215, Assoc-voc, 11, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 60, United-States, <=50K.
+52, Private, 152373, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 5013, 0, 40, United-States, <=50K.
+42, Private, 227968, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 28, Haiti, <=50K.
+26, Private, 362617, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+31, Private, 103435, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+25, Local-gov, 281412, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 35, United-States, <=50K.
+55, Self-emp-not-inc, 105239, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 2057, 60, United-States, <=50K.
+19, Private, 230165, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 12, United-States, <=50K.
+62, Self-emp-not-inc, 177493, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 32, United-States, <=50K.
+22, Federal-gov, 104443, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+39, ?, 110342, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 50, United-States, <=50K.
+35, Private, 143385, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+28, Private, 107189, HS-grad, 9, Married-civ-spouse, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+47, Private, 212944, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 70, United-States, >50K.
+44, State-gov, 138634, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+21, Private, 99970, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 15, United-States, <=50K.
+35, Private, 203717, Assoc-voc, 11, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+24, Private, 313956, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+42, Federal-gov, 177937, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, ?, <=50K.
+28, Private, 193868, Bachelors, 13, Never-married, Tech-support, Own-child, White, Male, 0, 0, 50, United-States, <=50K.
+21, Private, 250939, Some-college, 10, Never-married, Machine-op-inspct, Other-relative, White, Male, 0, 0, 35, United-States, <=50K.
+62, Federal-gov, 57629, Some-college, 10, Divorced, Tech-support, Not-in-family, Black, Male, 4650, 0, 40, United-States, <=50K.
+39, Private, 281768, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K.
+30, State-gov, 260782, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+72, Self-emp-not-inc, 243769, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 1429, 20, United-States, <=50K.
+50, Private, 109937, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 50, United-States, <=50K.
+28, Local-gov, 134890, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+29, Private, 100293, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+26, Private, 132179, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+27, Private, 116372, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+29, Private, 255412, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 3103, 0, 40, United-States, >50K.
+61, ?, 195789, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+29, Private, 342400, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 25, United-States, <=50K.
+21, ?, 65481, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 30, United-States, <=50K.
+31, Private, 169085, 11th, 7, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 20, United-States, <=50K.
+25, Private, 177221, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 75, United-States, <=50K.
+58, Private, 65325, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K.
+64, Private, 118944, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K.
+46, State-gov, 149337, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K.
+53, ?, 237868, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 35, United-States, >50K.
+19, Private, 106183, HS-grad, 9, Never-married, Other-service, Own-child, Amer-Indian-Eskimo, Female, 0, 0, 35, United-States, <=50K.
+42, Private, 226388, HS-grad, 9, Divorced, Other-service, Not-in-family, Black, Male, 0, 0, 52, United-States, <=50K.
+18, Private, 220754, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 24, United-States, <=50K.
+58, Self-emp-inc, 204021, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 15024, 0, 50, United-States, >50K.
+20, Private, 347391, Some-college, 10, Never-married, Protective-serv, Not-in-family, Black, Male, 0, 0, 60, United-States, <=50K.
+35, Federal-gov, 413930, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+32, Private, 174201, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 38, United-States, >50K.
+23, Private, 145917, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K.
+31, Private, 241797, Some-college, 10, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+33, Private, 265168, Bachelors, 13, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 55, United-States, <=50K.
+41, Private, 171234, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K.
+22, Private, 178452, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, Black, Male, 0, 0, 40, United-States, <=50K.
+46, Private, 157857, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K.
+61, Federal-gov, 512864, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+30, Private, 296462, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+42, Private, 171615, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K.
+63, Private, 214071, 10th, 6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+26, Private, 172421, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+42, Private, 195488, 10th, 6, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+23, Private, 316841, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+25, Private, 236267, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, White, Male, 0, 1590, 40, United-States, <=50K.
+30, Private, 236543, 9th, 5, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 32, El-Salvador, >50K.
+23, Private, 318483, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+34, Self-emp-not-inc, 163756, Assoc-voc, 11, Never-married, Farming-fishing, Not-in-family, White, Male, 27828, 0, 60, United-States, >50K.
+30, Private, 238186, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Other-relative, White, Male, 0, 2057, 48, United-States, <=50K.
+39, Private, 329980, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+30, Private, 169269, 11th, 7, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 1721, 38, Puerto-Rico, <=50K.
+38, Local-gov, 34744, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 38, United-States, <=50K.
+26, Private, 98114, HS-grad, 9, Divorced, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+20, Private, 109667, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 16, United-States, <=50K.
+37, Local-gov, 263690, Bachelors, 13, Never-married, Prof-specialty, Unmarried, Black, Male, 0, 0, 40, ?, <=50K.
+33, Private, 147430, HS-grad, 9, Married-civ-spouse, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+24, Private, 224238, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+42, Self-emp-inc, 212894, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K.
+51, Self-emp-not-inc, 136708, HS-grad, 9, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 3103, 0, 84, Vietnam, <=50K.
+56, Local-gov, 38573, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 45, United-States, >50K.
+22, Private, 197200, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+52, Self-emp-not-inc, 182796, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+44, Private, 184527, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Female, 4934, 0, 45, United-States, >50K.
+34, Private, 145231, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 4064, 0, 35, United-States, <=50K.
+51, Private, 43354, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 42, United-States, >50K.
+20, ?, 318865, Some-college, 10, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+19, Private, 355712, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K.
+37, Private, 98776, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+68, Private, 257557, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, >50K.
+22, Private, 102258, Some-college, 10, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+56, Self-emp-inc, 170287, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+37, Private, 243409, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+52, Private, 55608, 1st-4th, 2, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K.
+26, Private, 248057, HS-grad, 9, Separated, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, Puerto-Rico, <=50K.
+33, Private, 95530, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+45, Local-gov, 54038, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 42, United-States, <=50K.
+18, Private, 161245, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 15, United-States, <=50K.
+43, Self-emp-not-inc, 388725, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, >50K.
+64, Self-emp-not-inc, 71807, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 50, ?, >50K.
+18, Private, 228216, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K.
+20, ?, 303121, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 45, United-States, <=50K.
+57, Private, 78020, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+41, Private, 249254, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 3674, 0, 42, United-States, <=50K.
+34, Private, 87218, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 50, United-States, >50K.
+19, Private, 304299, HS-grad, 9, Never-married, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+44, Private, 196234, 9th, 5, Divorced, Other-service, Unmarried, White, Female, 0, 0, 55, Dominican-Republic, <=50K.
+56, Private, 197875, 10th, 6, Widowed, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+36, Self-emp-inc, 48063, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 80, United-States, <=50K.
+48, Private, 253596, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 48, United-States, <=50K.
+29, Private, 39257, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K.
+33, Private, 56150, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Male, 2174, 0, 40, United-States, <=50K.
+31, Private, 179415, 5th-6th, 3, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Mexico, <=50K.
+39, Private, 252445, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K.
+66, Private, 275918, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 10605, 0, 40, United-States, >50K.
+27, Private, 106562, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, >50K.
+39, Private, 198654, HS-grad, 9, Divorced, Exec-managerial, Unmarried, Black, Female, 99999, 0, 40, United-States, >50K.
+59, Private, 107318, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 5178, 0, 50, United-States, >50K.
+26, Private, 181896, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+31, Private, 106014, Assoc-voc, 11, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+45, ?, 319993, HS-grad, 9, Widowed, ?, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K.
+23, Private, 197997, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 30, United-States, <=50K.
+36, Local-gov, 173542, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+34, Private, 207564, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 12, United-States, >50K.
+32, Private, 224462, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 84, United-States, >50K.
+37, Private, 123361, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 50, United-States, >50K.
+33, Private, 90409, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+50, Self-emp-not-inc, 165001, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 80, United-States, >50K.
+32, Federal-gov, 149573, Assoc-acdm, 12, Never-married, Protective-serv, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+35, Private, 249456, Bachelors, 13, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K.
+37, Private, 149898, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+44, Private, 292985, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K.
+57, Private, 50223, Some-college, 10, Divorced, Handlers-cleaners, Other-relative, White, Male, 0, 0, 25, United-States, <=50K.
+29, Local-gov, 400074, Some-college, 10, Married-civ-spouse, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+55, Private, 197399, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K.
+43, Self-emp-inc, 209547, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 25, United-States, >50K.
+43, Private, 52433, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 70, United-States, <=50K.
+45, Self-emp-not-inc, 355978, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K.
+33, Self-emp-not-inc, 48214, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 8, United-States, <=50K.
+26, Private, 190873, 10th, 6, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, Germany, <=50K.
+23, Private, 278390, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 68, United-States, <=50K.
+41, Private, 203217, 7th-8th, 4, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K.
+24, Private, 279175, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+47, Self-emp-not-inc, 194590, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 44, United-States, <=50K.
+34, Self-emp-not-inc, 198813, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 45, United-States, <=50K.
+40, Private, 187294, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+28, Private, 302903, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female, 0, 1485, 40, United-States, <=50K.
+24, Private, 154835, HS-grad, 9, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, South, <=50K.
+73, ?, 73402, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 10, United-States, <=50K.
+23, Private, 100345, HS-grad, 9, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 15, United-States, <=50K.
+43, Self-emp-not-inc, 126320, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, United-States, >50K.
+26, Private, 142226, Bachelors, 13, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+58, Self-emp-not-inc, 112076, Doctorate, 16, Married-AF-spouse, Exec-managerial, Wife, White, Female, 0, 1485, 35, United-States, >50K.
+52, Private, 225339, HS-grad, 9, Widowed, Adm-clerical, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K.
+29, Private, 211208, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 99, United-States, >50K.
+47, Private, 200808, 11th, 7, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 35, Columbia, <=50K.
+49, Private, 220618, HS-grad, 9, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 37, United-States, <=50K.
+40, Private, 210493, 11th, 7, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+62, Self-emp-not-inc, 369734, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+49, Private, 27898, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 55, United-States, >50K.
+50, Private, 138193, Bachelors, 13, Divorced, Prof-specialty, Other-relative, White, Female, 0, 0, 50, United-States, >50K.
+31, Private, 224234, HS-grad, 9, Never-married, Transport-moving, Own-child, Black, Male, 0, 0, 40, United-States, <=50K.
+48, Local-gov, 188741, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K.
+24, Private, 183772, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+41, ?, 155041, HS-grad, 9, Never-married, ?, Own-child, White, Female, 3418, 0, 40, United-States, <=50K.
+37, Private, 79586, HS-grad, 9, Separated, Machine-op-inspct, Own-child, Asian-Pac-Islander, Male, 0, 0, 60, United-States, <=50K.
+45, Private, 355781, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 45, Japan, >50K.
+63, ?, 156158, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 16, United-States, <=50K.
+36, Private, 116358, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 45, India, <=50K.
+45, Private, 59287, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+41, Private, 138868, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+26, Private, 185885, Assoc-acdm, 12, Never-married, Tech-support, Other-relative, White, Female, 0, 0, 20, United-States, <=50K.
+17, Private, 40299, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K.
+27, Private, 500068, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 36, ?, <=50K.
+43, Private, 51494, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 65, United-States, <=50K.
+35, Private, 179481, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 55, United-States, <=50K.
+38, Private, 365907, Bachelors, 13, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+26, Private, 284343, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+28, Private, 204862, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+38, Private, 272476, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 24, United-States, >50K.
+36, Private, 175130, 11th, 7, Divorced, Transport-moving, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+33, Private, 118941, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K.
+19, Private, 164339, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 1055, 0, 70, United-States, <=50K.
+22, ?, 213291, Assoc-acdm, 12, Never-married, ?, Own-child, White, Male, 0, 0, 25, United-States, <=50K.
+42, Federal-gov, 55457, 10th, 6, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, Mexico, <=50K.
+50, Private, 280292, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K.
+30, Private, 446894, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 30, United-States, <=50K.
+37, State-gov, 67083, Some-college, 10, Married-civ-spouse, Prof-specialty, Other-relative, Asian-Pac-Islander, Male, 0, 0, 40, Cambodia, <=50K.
+54, Self-emp-inc, 159219, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 40, United-States, >50K.
+52, Self-emp-inc, 168539, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+65, Private, 88145, 1st-4th, 2, Married-civ-spouse, Handlers-cleaners, Husband, Other, Male, 0, 0, 40, ?, <=50K.
+33, Private, 150309, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+25, Private, 122999, Some-college, 10, Never-married, Tech-support, Other-relative, White, Male, 0, 0, 40, United-States, <=50K.
+24, Private, 302195, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+26, Private, 210982, Assoc-voc, 11, Separated, Adm-clerical, Unmarried, Black, Female, 114, 0, 40, United-States, <=50K.
+39, Private, 177140, HS-grad, 9, Separated, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, >50K.
+59, Private, 113838, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+29, Private, 97165, Some-college, 10, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+47, Private, 104301, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 45, United-States, <=50K.
+23, ?, 192028, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 35, United-States, <=50K.
+64, Self-emp-inc, 115931, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+21, Private, 147280, HS-grad, 9, Never-married, Other-service, Own-child, Other, Male, 0, 0, 20, United-States, <=50K.
+32, Private, 185433, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 40, United-States, >50K.
+26, Private, 599057, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, Black, Female, 0, 0, 37, United-States, <=50K.
+19, ?, 50626, Some-college, 10, Never-married, ?, Own-child, Black, Female, 0, 0, 20, United-States, <=50K.
+62, Self-emp-not-inc, 71467, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+32, Private, 183977, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, >50K.
+75, ?, 26586, 10th, 6, Married-spouse-absent, ?, Not-in-family, White, Female, 0, 0, 5, United-States, <=50K.
+45, Self-emp-not-inc, 196858, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+31, Private, 160594, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 50, United-States, >50K.
+32, Private, 65278, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 2580, 0, 40, United-States, <=50K.
+24, Private, 102258, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+25, Private, 196947, Bachelors, 13, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+41, Self-emp-not-inc, 233150, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+18, Private, 42857, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+44, Private, 118059, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K.
+40, Private, 169262, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 3411, 0, 50, United-States, <=50K.
+27, Private, 95108, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+23, Private, 161092, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+21, Private, 345253, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Other, Male, 2174, 0, 40, United-States, <=50K.
+37, State-gov, 111275, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+65, Self-emp-not-inc, 178878, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 48, United-States, <=50K.
+43, Federal-gov, 157237, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+45, Private, 155664, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 44, United-States, <=50K.
+24, State-gov, 322658, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+24, Private, 208503, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K.
+19, Local-gov, 223326, Some-college, 10, Never-married, Protective-serv, Own-child, White, Male, 0, 1721, 35, United-States, <=50K.
+37, Private, 20308, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 65, United-States, >50K.
+24, Private, 124751, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 35, United-States, <=50K.
+34, Private, 113364, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Germany, <=50K.
+50, State-gov, 196900, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 39, United-States, <=50K.
+36, Private, 168170, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Puerto-Rico, <=50K.
+39, Private, 205338, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+44, Self-emp-not-inc, 98806, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 38, United-States, <=50K.
+45, State-gov, 226452, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+32, State-gov, 479179, 11th, 7, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+47, Federal-gov, 471990, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, United-States, >50K.
+50, Private, 44728, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+32, Private, 33117, Assoc-voc, 11, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+19, Private, 264876, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+19, ?, 47235, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+28, State-gov, 293628, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 10, ?, <=50K.
+28, Private, 193122, HS-grad, 9, Divorced, Sales, Other-relative, White, Male, 0, 0, 50, United-States, <=50K.
+39, Federal-gov, 149347, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, Poland, >50K.
+21, Private, 129172, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 2907, 0, 40, United-States, <=50K.
+73, Self-emp-not-inc, 151255, Some-college, 10, Widowed, Farming-fishing, Not-in-family, White, Female, 0, 0, 75, United-States, <=50K.
+39, Private, 98886, 7th-8th, 4, Married-civ-spouse, Other-service, Husband, White, Male, 4508, 0, 40, Mexico, <=50K.
+25, Private, 238673, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+31, Private, 137991, Some-college, 10, Married-AF-spouse, Sales, Wife, White, Female, 0, 0, 20, United-States, <=50K.
+51, Private, 85942, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K.
+39, Private, 85783, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 28, United-States, <=50K.
+31, Private, 174789, Bachelors, 13, Divorced, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+21, Private, 457162, Some-college, 10, Never-married, Sales, Own-child, Black, Male, 0, 0, 17, United-States, <=50K.
+46, Private, 176026, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 27828, 0, 50, United-States, >50K.
+73, Private, 88594, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K.
+41, Private, 311101, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+20, Private, 273989, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+27, Private, 370242, Assoc-acdm, 12, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K.
+24, Private, 194630, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K.
+20, Private, 313817, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+39, Private, 195843, Assoc-voc, 11, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+27, Private, 203160, Bachelors, 13, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 28, United-States, <=50K.
+33, Private, 175856, 11th, 7, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+33, Private, 75435, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K.
+36, State-gov, 291676, 9th, 5, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+55, Private, 192869, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 36, United-States, <=50K.
+19, Private, 124464, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+35, Private, 98776, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K.
+34, Private, 107960, 5th-6th, 3, Never-married, Machine-op-inspct, Other-relative, Asian-Pac-Islander, Male, 0, 0, 40, Laos, <=50K.
+62, State-gov, 312286, Prof-school, 15, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K.
+33, Self-emp-not-inc, 48520, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+39, Private, 224541, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 4386, 0, 55, Mexico, <=50K.
+36, Local-gov, 237713, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+41, Private, 309990, Bachelors, 13, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 33, United-States, <=50K.
+39, Self-emp-not-inc, 37019, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+38, ?, 48976, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 0, 1887, 10, United-States, >50K.
+18, Private, 170183, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 10, United-States, <=50K.
+61, Private, 142988, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 45, United-States, >50K.
+20, Federal-gov, 163205, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 36, United-States, <=50K.
+35, Self-emp-not-inc, 455379, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 65, United-States, >50K.
+27, Private, 104423, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+66, Private, 104936, 10th, 6, Widowed, Other-service, Unmarried, White, Female, 0, 0, 38, United-States, <=50K.
+21, Private, 542610, HS-grad, 9, Never-married, Transport-moving, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K.
+20, Private, 208117, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 18, United-States, <=50K.
+34, Private, 105141, Some-college, 10, Divorced, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+63, Private, 156120, 5th-6th, 3, Never-married, Priv-house-serv, Not-in-family, White, Female, 0, 0, 50, ?, <=50K.
+20, ?, 38455, HS-grad, 9, Never-married, ?, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+31, Private, 213339, HS-grad, 9, Separated, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+41, Private, 177989, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2051, 60, United-States, <=50K.
+64, State-gov, 107732, 1st-4th, 2, Married-civ-spouse, Farming-fishing, Husband, Other, Male, 0, 0, 45, Columbia, <=50K.
+32, Private, 312403, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+30, Local-gov, 176992, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K.
+36, Self-emp-not-inc, 84294, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 72, United-States, <=50K.
+22, Private, 143062, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 12, United-States, <=50K.
+53, Local-gov, 139671, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+50, Private, 116814, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K.
+36, Private, 37778, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+41, Self-emp-inc, 240900, 11th, 7, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+55, Private, 202652, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K.
+38, Private, 52187, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 50, United-States, >50K.
+28, Private, 349751, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, Black, Male, 2174, 0, 50, United-States, <=50K.
+24, Local-gov, 238384, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 37, United-States, <=50K.
+60, Private, 209844, Some-college, 10, Divorced, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K.
+54, Private, 333301, 10th, 6, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+27, Self-emp-inc, 214974, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+30, Private, 113453, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 30, United-States, <=50K.
+54, Private, 162238, HS-grad, 9, Widowed, Transport-moving, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+44, Private, 98779, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 5178, 0, 40, United-States, >50K.
+52, Private, 165001, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, >50K.
+18, Private, 78528, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K.
+55, Private, 353881, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+35, Private, 251396, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K.
+37, Private, 178100, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, >50K.
+22, Private, 416165, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+45, Private, 177536, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, England, >50K.
+38, Private, 203717, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+48, Private, 107231, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+35, Private, 106448, Assoc-voc, 11, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+21, Private, 196816, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Other-relative, White, Male, 0, 0, 50, United-States, <=50K.
+37, Self-emp-not-inc, 191342, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 60, Philippines, >50K.
+18, Private, 170194, 11th, 7, Never-married, Sales, Own-child, White, Male, 0, 0, 25, United-States, <=50K.
+26, Private, 113587, 10th, 6, Divorced, Machine-op-inspct, Own-child, White, Male, 0, 0, 35, United-States, <=50K.
+48, Self-emp-inc, 72425, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+51, Private, 217480, Some-college, 10, Separated, Adm-clerical, Not-in-family, Black, Male, 8614, 0, 40, United-States, >50K.
+52, Private, 120914, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+32, State-gov, 33945, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, >50K.
+39, Self-emp-not-inc, 199753, Bachelors, 13, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+51, Private, 144284, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+54, Private, 53833, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+21, Private, 151158, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K.
+43, Private, 125577, HS-grad, 9, Separated, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+32, Private, 242323, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+31, State-gov, 195181, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, >50K.
+73, ?, 145748, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 8, United-States, <=50K.
+26, Private, 341672, Some-college, 10, Never-married, Adm-clerical, Other-relative, Asian-Pac-Islander, Male, 0, 0, 60, India, <=50K.
+35, Private, 116369, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+73, Private, 113446, 5th-6th, 3, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 54, United-States, >50K.
+25, Self-emp-not-inc, 121285, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+58, Self-emp-not-inc, 25124, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 2377, 65, United-States, <=50K.
+32, Private, 182274, HS-grad, 9, Separated, Other-service, Own-child, White, Female, 0, 0, 37, United-States, <=50K.
+28, Private, 103548, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+41, Self-emp-not-inc, 38434, Masters, 14, Never-married, Sales, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K.
+53, Self-emp-not-inc, 317313, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, <=50K.
+49, Private, 177543, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 35, United-States, <=50K.
+55, Private, 139834, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+29, Private, 118478, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 7298, 0, 50, United-States, >50K.
+28, Self-emp-not-inc, 147951, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 80, United-States, <=50K.
+44, Private, 201734, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+41, Private, 198196, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K.
+26, Private, 141876, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 3103, 0, 45, United-States, >50K.
+23, Private, 325179, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K.
+37, Self-emp-not-inc, 143774, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, Germany, >50K.
+23, Private, 152328, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 13550, 0, 50, United-States, >50K.
+33, Private, 479600, Some-college, 10, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+44, Private, 180599, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, >50K.
+21, Private, 448026, Some-college, 10, Never-married, Protective-serv, Own-child, White, Male, 2907, 0, 30, United-States, <=50K.
+36, Private, 300333, 11th, 7, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, Cuba, <=50K.
+44, Local-gov, 184105, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 5013, 0, 40, United-States, <=50K.
+23, Private, 202084, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+26, Private, 29515, HS-grad, 9, Divorced, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+32, Private, 247328, 5th-6th, 3, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K.
+31, Private, 188246, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K.
+50, Local-gov, 105788, HS-grad, 9, Separated, Exec-managerial, Unmarried, Black, Female, 6497, 0, 35, United-States, <=50K.
+18, Self-emp-inc, 352640, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+49, Private, 132576, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+59, Private, 128829, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+38, Private, 93140, HS-grad, 9, Separated, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 28, United-States, <=50K.
+50, Self-emp-inc, 155965, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K.
+51, Self-emp-inc, 335902, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1672, 55, United-States, <=50K.
+22, Private, 158522, Some-college, 10, Never-married, Machine-op-inspct, Own-child, Asian-Pac-Islander, Male, 0, 0, 35, United-States, <=50K.
+54, Private, 174806, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, United-States, >50K.
+37, Private, 32207, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+31, Private, 43607, Bachelors, 13, Widowed, Adm-clerical, Unmarried, White, Male, 0, 0, 60, United-States, <=50K.
+67, State-gov, 168224, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+43, ?, 180318, 11th, 7, Separated, ?, Other-relative, White, Male, 0, 0, 40, United-States, <=50K.
+21, Private, 311376, Some-college, 10, Never-married, Exec-managerial, Other-relative, White, Female, 0, 0, 40, United-States, <=50K.
+30, Private, 101562, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+32, Local-gov, 267859, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 50, Cuba, <=50K.
+36, Private, 86143, Assoc-voc, 11, Never-married, Craft-repair, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K.
+33, Local-gov, 217304, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+37, Private, 410034, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 56, United-States, <=50K.
+29, Private, 293073, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 48, United-States, >50K.
+18, ?, 39493, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 30, United-States, <=50K.
+26, Private, 247425, Some-college, 10, Never-married, Sales, Not-in-family, Black, Male, 0, 0, 40, Haiti, <=50K.
+51, Private, 128338, 7th-8th, 4, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+39, Private, 189344, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K.
+18, Private, 366154, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K.
+52, Private, 163051, 12th, 8, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 1628, 40, United-States, <=50K.
+31, Private, 437200, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, Mexico, <=50K.
+45, Private, 323798, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 53, United-States, >50K.
+38, Private, 182570, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 38, United-States, <=50K.
+21, Private, 200318, Assoc-acdm, 12, Never-married, Sales, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K.
+33, Private, 48520, HS-grad, 9, Separated, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+39, Private, 130007, Some-college, 10, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+31, Private, 166248, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+43, Private, 203554, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 50, United-States, >50K.
+64, ?, 192715, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 1672, 10, United-States, <=50K.
+33, Self-emp-inc, 291333, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 45, United-States, >50K.
+49, Self-emp-not-inc, 39140, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+41, Private, 266439, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+55, Self-emp-not-inc, 126840, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+52, Private, 166419, Some-college, 10, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 0, 37, United-States, <=50K.
+42, Private, 287129, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+24, Private, 206827, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 30, United-States, <=50K.
+42, Private, 173888, HS-grad, 9, Married-spouse-absent, Adm-clerical, Not-in-family, White, Male, 0, 0, 52, United-States, <=50K.
+41, State-gov, 253250, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 40, United-States, >50K.
+35, Private, 337239, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K.
+71, ?, 113445, 5th-6th, 3, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 10, United-States, <=50K.
+54, Federal-gov, 201127, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 42, United-States, >50K.
+24, Private, 403107, 5th-6th, 3, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K.
+59, ?, 179078, HS-grad, 9, Widowed, ?, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+30, ?, 126402, 11th, 7, Never-married, ?, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+57, Federal-gov, 223892, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K.
+58, State-gov, 191318, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 40, United-States, >50K.
+32, Private, 394708, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K.
+22, Private, 119474, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 1055, 0, 25, United-States, <=50K.
+20, Private, 419984, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 25, United-States, <=50K.
+60, ?, 164730, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+51, Private, 190678, HS-grad, 9, Divorced, Prof-specialty, Unmarried, Black, Female, 0, 0, 40, ?, <=50K.
+26, Local-gov, 197897, HS-grad, 9, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 20, England, <=50K.
+33, Private, 286675, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+19, Private, 191986, 10th, 6, Never-married, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+50, Self-emp-not-inc, 90525, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 15024, 0, 20, United-States, >50K.
+32, Private, 56150, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+51, Local-gov, 248327, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, >50K.
+18, Private, 90860, Some-college, 10, Never-married, Sales, Own-child, Asian-Pac-Islander, Female, 0, 0, 20, United-States, <=50K.
+35, Federal-gov, 104858, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+22, ?, 228686, Some-college, 10, Divorced, ?, Own-child, White, Male, 0, 1602, 25, United-States, <=50K.
+46, Private, 196707, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K.
+37, Private, 29430, HS-grad, 9, Divorced, Sales, Unmarried, White, Male, 0, 0, 45, United-States, <=50K.
+45, Private, 54038, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 1902, 20, United-States, >50K.
+63, Private, 281025, 9th, 5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 32, United-States, <=50K.
+53, Private, 258832, HS-grad, 9, Never-married, Other-service, Other-relative, Asian-Pac-Islander, Male, 0, 0, 10, Philippines, <=50K.
+24, Private, 131220, HS-grad, 9, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K.
+65, ?, 190454, 11th, 7, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 29, United-States, <=50K.
+43, Private, 315971, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 32, ?, >50K.
+47, Private, 265097, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+41, Private, 185057, HS-grad, 9, Never-married, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+27, Private, 169557, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 6849, 0, 40, United-States, <=50K.
+35, Self-emp-inc, 333636, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 75, United-States, <=50K.
+19, Private, 181652, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 24, United-States, <=50K.
+47, Private, 34307, Some-college, 10, Separated, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K.
+25, Federal-gov, 198813, Bachelors, 13, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 1590, 40, United-States, <=50K.
+59, Local-gov, 240030, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+28, Private, 226089, 10th, 6, Never-married, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+17, Private, 190941, 10th, 6, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+21, Private, 160261, Some-college, 10, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Male, 2463, 0, 50, England, <=50K.
+31, Private, 208458, HS-grad, 9, Divorced, Sales, Unmarried, Other, Female, 0, 0, 40, Mexico, <=50K.
+49, Private, 112761, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+48, Local-gov, 67716, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 50, United-States, >50K.
+60, Self-emp-not-inc, 121076, Doctorate, 16, Divorced, Sales, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K.
+33, Self-emp-not-inc, 182556, 12th, 8, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+40, Private, 231348, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+42, Private, 55395, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 52, United-States, <=50K.
+34, Private, 344073, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 5013, 0, 40, United-States, <=50K.
+38, Federal-gov, 318912, Assoc-voc, 11, Divorced, Adm-clerical, Own-child, Black, Male, 0, 0, 52, United-States, <=50K.
+58, Self-emp-not-inc, 237546, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 70, United-States, >50K.
+20, Private, 346341, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, ?, <=50K.
+52, Private, 305090, Some-college, 10, Separated, Sales, Other-relative, White, Female, 0, 0, 55, United-States, <=50K.
+22, Local-gov, 198478, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+24, Private, 321435, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 35, United-States, >50K.
+39, Private, 259716, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K.
+41, Private, 191547, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 55, United-States, >50K.
+37, ?, 171482, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 30, United-States, <=50K.
+56, Private, 225927, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 2580, 0, 40, United-States, <=50K.
+21, Private, 256504, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+29, Private, 168526, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 25, United-States, <=50K.
+45, Private, 44489, Assoc-voc, 11, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 10, United-States, <=50K.
+44, Local-gov, 159449, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 80, United-States, >50K.
+54, Private, 387540, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K.
+24, Private, 314819, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 2174, 0, 40, United-States, <=50K.
+40, Private, 34722, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+43, State-gov, 125831, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 99999, 0, 60, United-States, >50K.
+20, ?, 239805, Some-college, 10, Never-married, ?, Not-in-family, White, Male, 0, 0, 16, United-States, <=50K.
+41, Self-emp-not-inc, 264663, 11th, 7, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+32, Private, 294121, Assoc-voc, 11, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+31, Private, 83912, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 25, Mexico, <=50K.
+26, Private, 241626, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+50, State-gov, 137815, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+62, Self-emp-inc, 153891, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 3137, 0, 40, United-States, <=50K.
+24, Private, 83774, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 2885, 0, 45, United-States, <=50K.
+58, Private, 199067, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 65, United-States, >50K.
+44, Self-emp-inc, 57233, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+44, Private, 211517, 12th, 8, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+37, Self-emp-inc, 132879, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K.
+65, Self-emp-not-inc, 72776, 7th-8th, 4, Never-married, Farming-fishing, Not-in-family, White, Male, 2964, 0, 40, United-States, <=50K.
+33, Private, 54318, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+34, ?, 143582, HS-grad, 9, Married-spouse-absent, ?, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 37, Taiwan, <=50K.
+56, Self-emp-not-inc, 174564, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K.
+35, Private, 179579, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 48, United-States, >50K.
+33, Private, 187618, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 1741, 40, United-States, <=50K.
+35, Private, 186819, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 48, United-States, <=50K.
+47, Self-emp-not-inc, 60087, Some-college, 10, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K.
+35, Self-emp-not-inc, 28987, 9th, 5, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male, 0, 0, 96, United-States, <=50K.
+56, Private, 187355, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+29, Self-emp-inc, 218555, Masters, 14, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+53, Self-emp-inc, 94214, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 7298, 0, 50, Thailand, >50K.
+42, Private, 204729, Assoc-voc, 11, Separated, Sales, Unmarried, Black, Female, 0, 0, 25, United-States, <=50K.
+20, ?, 281668, Some-college, 10, Never-married, ?, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K.
+24, Private, 236696, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 50, Taiwan, <=50K.
+33, Private, 179747, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+42, Private, 187322, 10th, 6, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+38, State-gov, 116975, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 1887, 50, United-States, >50K.
+32, Private, 205950, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+20, Self-emp-not-inc, 190968, 7th-8th, 4, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 20, United-States, <=50K.
+32, Private, 160458, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+28, Local-gov, 190911, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K.
+51, Private, 85382, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, >50K.
+41, Local-gov, 129793, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K.
+37, Local-gov, 270181, Assoc-acdm, 12, Married-spouse-absent, Other-service, Unmarried, Black, Female, 0, 0, 50, United-States, <=50K.
+23, Private, 243723, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+40, Private, 168113, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+47, Private, 652784, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+46, Self-emp-not-inc, 315984, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+24, Private, 311311, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+40, Private, 111336, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 28, United-States, <=50K.
+30, Self-emp-not-inc, 100252, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Own-child, Asian-Pac-Islander, Male, 0, 0, 60, South, <=50K.
+41, State-gov, 186990, Prof-school, 15, Widowed, Prof-specialty, Not-in-family, Other, Female, 0, 0, 52, United-States, >50K.
+37, State-gov, 241633, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 45, United-States, >50K.
+49, Federal-gov, 252616, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K.
+41, Federal-gov, 46366, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, Black, Female, 0, 0, 50, United-States, >50K.
+52, Local-gov, 266138, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 35, United-States, <=50K.
+23, Private, 32732, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+34, Private, 361978, HS-grad, 9, Divorced, Craft-repair, Unmarried, Black, Female, 1471, 0, 40, United-States, <=50K.
+25, State-gov, 77661, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 2444, 40, United-States, >50K.
+44, Self-emp-inc, 60087, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K.
+31, Local-gov, 197550, HS-grad, 9, Divorced, Prof-specialty, Unmarried, White, Male, 0, 0, 33, United-States, <=50K.
+53, Private, 170701, Bachelors, 13, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+62, Private, 159822, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+35, Private, 211494, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 1876, 55, United-States, <=50K.
+30, Federal-gov, 340899, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+48, State-gov, 224752, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K.
+36, Private, 102568, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, >50K.
+32, Private, 220690, 11th, 7, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 33, United-States, <=50K.
+22, Private, 303170, Some-college, 10, Never-married, Priv-house-serv, Own-child, White, Female, 0, 0, 28, United-States, <=50K.
+17, ?, 143331, 11th, 7, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+19, Private, 192162, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+26, Private, 201635, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+20, ?, 55263, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+56, State-gov, 133728, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 35, United-States, >50K.
+45, Private, 347025, 7th-8th, 4, Widowed, Other-service, Unmarried, White, Female, 0, 0, 21, United-States, <=50K.
+23, Private, 110998, Some-college, 10, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K.
+31, Private, 122347, HS-grad, 9, Separated, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+30, Private, 127875, 11th, 7, Never-married, Sales, Unmarried, White, Female, 0, 0, 8, United-States, <=50K.
+42, Private, 167534, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 5013, 0, 35, United-States, <=50K.
+27, State-gov, 152560, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+37, Private, 265144, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+31, Private, 302679, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K.
+33, Private, 290763, Bachelors, 13, Separated, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+64, Private, 86837, Preschool, 1, Married-civ-spouse, Handlers-cleaners, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K.
+32, Private, 147118, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+62, ?, 103575, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 5178, 0, 40, United-States, >50K.
+37, Private, 169469, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+25, Private, 189334, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+49, Private, 139571, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 4064, 0, 40, United-States, <=50K.
+36, Private, 111545, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 40, United-States, >50K.
+67, Private, 72776, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 10566, 0, 15, United-States, <=50K.
+54, Private, 307973, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K.
+45, Local-gov, 211666, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, >50K.
+30, Private, 143766, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+39, State-gov, 112812, HS-grad, 9, Married-civ-spouse, Protective-serv, Other-relative, White, Female, 0, 0, 40, United-States, <=50K.
+57, Private, 43290, 10th, 6, Divorced, Other-service, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 20, United-States, <=50K.
+57, Private, 111385, 10th, 6, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+23, Self-emp-not-inc, 145744, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+49, Local-gov, 126754, HS-grad, 9, Married-civ-spouse, Other-service, Other-relative, White, Male, 0, 0, 40, Italy, <=50K.
+46, State-gov, 54260, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 10, United-States, >50K.
+41, State-gov, 34895, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 43, United-States, <=50K.
+44, Private, 166740, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+25, Private, 143062, Bachelors, 13, Never-married, Other-service, Own-child, White, Female, 2463, 0, 30, United-States, <=50K.
+34, Local-gov, 191957, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 45, United-States, >50K.
+24, Private, 109456, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 25, United-States, <=50K.
+32, Private, 198183, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K.
+27, Local-gov, 157449, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 50, United-States, >50K.
+67, Private, 53874, 12th, 8, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, Cuba, <=50K.
+36, Private, 191754, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+40, Private, 320071, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 1408, 48, United-States, <=50K.
+24, Private, 164574, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+46, Private, 185870, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1902, 40, United-States, >50K.
+44, State-gov, 165745, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 38, United-States, <=50K.
+23, Self-emp-not-inc, 40323, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+46, Private, 199378, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 90, United-States, <=50K.
+31, Private, 289889, Assoc-voc, 11, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+21, Local-gov, 152200, Some-college, 10, Married-civ-spouse, Protective-serv, Own-child, Black, Male, 0, 0, 40, United-States, <=50K.
+61, Private, 198231, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+71, Self-emp-not-inc, 28865, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 15, United-States, <=50K.
+42, Private, 26915, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+27, ?, 108926, Some-college, 10, Married-civ-spouse, ?, Husband, Black, Male, 0, 0, 5, United-States, <=50K.
+21, State-gov, 204034, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 16, United-States, <=50K.
+21, Private, 243368, Preschool, 1, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 25, Mexico, <=50K.
+28, Local-gov, 191088, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 2354, 0, 60, United-States, <=50K.
+27, Local-gov, 194515, Assoc-acdm, 12, Never-married, Prof-specialty, Own-child, Black, Female, 0, 0, 37, United-States, <=50K.
+32, Private, 28984, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 2001, 25, United-States, <=50K.
+47, Private, 125892, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+22, Private, 37932, Assoc-acdm, 12, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 35, England, <=50K.
+56, Private, 249751, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+20, Private, 191948, HS-grad, 9, Married-civ-spouse, Other-service, Other-relative, White, Female, 0, 0, 40, United-States, <=50K.
+30, Private, 97306, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+22, Private, 176178, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K.
+28, Private, 142764, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 45, United-States, >50K.
+50, Private, 148431, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K.
+66, State-gov, 148380, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 1424, 0, 10, United-States, <=50K.
+38, Private, 314890, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 46, United-States, <=50K.
+62, Private, 177493, 12th, 8, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 30, United-States, <=50K.
+36, Federal-gov, 327435, Masters, 14, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, >50K.
+47, Private, 275967, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K.
+25, Private, 176520, HS-grad, 9, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+26, Private, 186463, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+37, Private, 50380, 11th, 7, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+70, Self-emp-not-inc, 323987, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 8, United-States, <=50K.
+52, Private, 192445, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+70, Private, 142851, 9th, 5, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 18, United-States, <=50K.
+19, State-gov, 42750, HS-grad, 9, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+23, Private, 199011, 11th, 7, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 3, United-States, <=50K.
+37, Private, 98644, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 16, ?, >50K.
+37, Private, 173963, 11th, 7, Separated, Sales, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+45, State-gov, 284763, Some-college, 10, Divorced, Prof-specialty, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+29, Private, 108775, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+56, Self-emp-not-inc, 233312, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 20, Poland, <=50K.
+50, Private, 197826, Masters, 14, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+20, Private, 123007, HS-grad, 9, Never-married, Adm-clerical, Other-relative, White, Male, 0, 2001, 30, United-States, <=50K.
+26, Private, 264012, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+41, Self-emp-inc, 214247, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2415, 60, United-States, >50K.
+21, Private, 200121, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+48, Self-emp-not-inc, 138069, 5th-6th, 3, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 2042, 50, United-States, <=50K.
+22, Private, 33551, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+37, State-gov, 89083, Assoc-acdm, 12, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 35, United-States, <=50K.
+47, Private, 369438, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 30, United-States, >50K.
+61, Private, 93997, Bachelors, 13, Divorced, Sales, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+47, Local-gov, 169699, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+37, Private, 115429, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 25, United-States, <=50K.
+46, State-gov, 96652, Assoc-voc, 11, Separated, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+42, Self-emp-not-inc, 103759, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 48, United-States, <=50K.
+41, Private, 54422, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+33, Local-gov, 107215, 9th, 5, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+24, Private, 194630, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K.
+27, Private, 102142, Assoc-acdm, 12, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+40, Federal-gov, 134638, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 39, United-States, <=50K.
+56, Private, 46920, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+35, Federal-gov, 207973, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, Canada, <=50K.
+24, Private, 208946, Assoc-voc, 11, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+73, Self-emp-not-inc, 252431, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 1, United-States, <=50K.
+36, Private, 251730, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+31, Private, 301251, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K.
+50, ?, 137632, HS-grad, 9, Married-civ-spouse, ?, Husband, Black, Male, 0, 0, 45, Haiti, <=50K.
+36, Private, 197274, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+37, Private, 106043, HS-grad, 9, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 40, United-States, >50K.
+26, Private, 195636, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K.
+20, Private, 237956, HS-grad, 9, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 40, Cuba, <=50K.
+58, Private, 31532, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+45, State-gov, 276157, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+33, ?, 207668, Bachelors, 13, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+31, Private, 142921, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+44, Private, 217039, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 60, United-States, >50K.
+19, Local-gov, 259169, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 30, United-States, <=50K.
+54, Private, 409173, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, Black, Male, 0, 0, 50, Puerto-Rico, >50K.
+31, State-gov, 73161, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1740, 40, United-States, <=50K.
+27, Private, 241431, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K.
+36, Private, 151764, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 5178, 0, 40, United-States, >50K.
+47, Federal-gov, 131726, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 1876, 40, United-States, <=50K.
+35, Private, 334291, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+42, Private, 67243, 1st-4th, 2, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 55, Portugal, >50K.
+45, Private, 370261, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+70, Private, 573446, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 1455, 0, 40, United-States, <=50K.
+27, Local-gov, 189775, 12th, 8, Never-married, Other-service, Own-child, Black, Female, 0, 0, 44, United-States, <=50K.
+36, Private, 312206, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K.
+23, Private, 86939, HS-grad, 9, Married-spouse-absent, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+25, Private, 221757, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+45, Self-emp-not-inc, 213140, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 45, United-States, >50K.
+24, Private, 308673, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 30, United-States, <=50K.
+90, Private, 149069, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 1825, 50, United-States, >50K.
+50, Private, 69345, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 1902, 44, United-States, >50K.
+37, Private, 112158, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 99, United-States, >50K.
+31, Private, 386299, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+17, Private, 61838, 11th, 7, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+26, Private, 290286, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Black, Male, 0, 0, 38, United-States, <=50K.
+41, Private, 143069, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+50, Self-emp-inc, 145714, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K.
+45, Self-emp-not-inc, 285570, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 80, United-States, <=50K.
+54, Self-emp-not-inc, 399705, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K.
+54, Private, 186224, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+38, Private, 172918, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+22, Private, 198270, HS-grad, 9, Married-civ-spouse, Sales, Other-relative, White, Female, 0, 0, 38, United-States, <=50K.
+43, Private, 307767, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+19, ?, 208630, HS-grad, 9, Never-married, ?, Own-child, White, Female, 0, 0, 30, United-States, <=50K.
+30, Private, 169002, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K.
+31, ?, 186369, 9th, 5, Divorced, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+42, Private, 99203, HS-grad, 9, Separated, Craft-repair, Not-in-family, White, Male, 3325, 0, 40, United-States, <=50K.
+48, Private, 197836, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K.
+56, Private, 140136, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 35, United-States, >50K.
+21, Local-gov, 402230, Some-college, 10, Never-married, Adm-clerical, Unmarried, White, Male, 0, 0, 36, United-States, <=50K.
+45, Private, 167159, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+37, Private, 116409, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+38, Local-gov, 105161, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 30, United-States, <=50K.
+34, Private, 263908, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+29, Private, 189565, HS-grad, 9, Divorced, Protective-serv, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+24, Private, 224059, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+79, ?, 27457, Masters, 14, Never-married, ?, Not-in-family, White, Female, 0, 0, 23, United-States, <=50K.
+35, Private, 240988, Assoc-acdm, 12, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K.
+39, Self-emp-not-inc, 41017, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 70, United-States, <=50K.
+73, Self-emp-not-inc, 214498, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 12, United-States, <=50K.
+57, Private, 186361, Assoc-voc, 11, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+35, Self-emp-inc, 165799, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+60, Private, 266983, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 32, United-States, <=50K.
+19, ?, 165416, Some-college, 10, Never-married, ?, Own-child, Black, Female, 0, 0, 40, United-States, <=50K.
+54, Private, 226497, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+53, Self-emp-not-inc, 99516, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+23, Private, 177287, Some-college, 10, Never-married, Exec-managerial, Other-relative, White, Female, 0, 0, 40, United-States, <=50K.
+57, Self-emp-not-inc, 27385, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 48, United-States, >50K.
+27, Self-emp-not-inc, 147452, 10th, 6, Never-married, Sales, Own-child, White, Female, 0, 0, 48, United-States, <=50K.
+25, Private, 144334, HS-grad, 9, Never-married, Exec-managerial, Own-child, Black, Male, 0, 0, 40, United-States, <=50K.
+38, Private, 217926, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+48, Private, 153312, Some-college, 10, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 60, United-States, >50K.
+24, Private, 126822, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 45, United-States, <=50K.
+67, Self-emp-inc, 51415, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+20, Private, 171886, HS-grad, 9, Never-married, Other-service, Own-child, Black, Male, 0, 0, 35, United-States, <=50K.
+38, Private, 216319, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, China, >50K.
+54, Private, 279337, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+20, Self-emp-not-inc, 115085, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+57, Private, 453233, 10th, 6, Separated, Exec-managerial, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K.
+34, Federal-gov, 400943, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 44, United-States, <=50K.
+34, Private, 226883, HS-grad, 9, Separated, Craft-repair, Unmarried, White, Male, 0, 0, 49, United-States, <=50K.
+80, Private, 138050, HS-grad, 9, Married-spouse-absent, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 16, United-States, <=50K.
+40, Private, 204585, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+19, Local-gov, 220558, 11th, 7, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 35, United-States, <=50K.
+35, Private, 198841, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 56, United-States, <=50K.
+21, Private, 67244, HS-grad, 9, Never-married, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+59, Local-gov, 75785, 11th, 7, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+53, Private, 85423, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K.
+41, Self-emp-not-inc, 134724, Assoc-voc, 11, Married-civ-spouse, Other-service, Wife, White, Female, 3103, 0, 40, United-States, >50K.
+59, Private, 109567, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 55, United-States, <=50K.
+21, ?, 132053, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 35, United-States, <=50K.
+52, Private, 157413, 1st-4th, 2, Divorced, Farming-fishing, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+48, Private, 238567, 5th-6th, 3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Mexico, <=50K.
+24, Private, 153133, 12th, 8, Never-married, Machine-op-inspct, Own-child, Black, Male, 0, 0, 40, United-States, <=50K.
+49, Private, 186256, Prof-school, 15, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K.
+19, Private, 260265, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 50, United-States, <=50K.
+50, Private, 131819, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+39, Private, 141584, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, >50K.
+25, Private, 245121, HS-grad, 9, Married-civ-spouse, Other-service, Wife, Black, Female, 0, 0, 40, United-States, <=50K.
+66, Private, 22502, 7th-8th, 4, Divorced, Other-service, Other-relative, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K.
+30, Private, 23778, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 4416, 0, 40, United-States, <=50K.
+49, Private, 380922, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 80, United-States, >50K.
+40, Self-emp-not-inc, 173651, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+38, Private, 191137, 10th, 6, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+25, Private, 217006, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+51, State-gov, 22211, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 37, United-States, >50K.
+23, Local-gov, 57711, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, Germany, <=50K.
+60, Self-emp-not-inc, 123190, 9th, 5, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 67, United-States, >50K.
+44, Private, 110028, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 27828, 0, 60, United-States, >50K.
+53, Self-emp-not-inc, 174102, Prof-school, 15, Divorced, Prof-specialty, Unmarried, White, Male, 25236, 0, 60, United-States, >50K.
+66, Self-emp-not-inc, 183249, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 20, United-States, >50K.
+18, ?, 240183, HS-grad, 9, Never-married, ?, Own-child, White, Female, 0, 0, 45, United-States, <=50K.
+44, Local-gov, 49665, Assoc-voc, 11, Divorced, Machine-op-inspct, Unmarried, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K.
+38, Private, 210438, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, >50K.
+30, Private, 53373, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K.
+36, Private, 295706, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 3674, 0, 42, United-States, <=50K.
+38, Local-gov, 273457, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K.
+31, Federal-gov, 165949, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K.
+26, Private, 142152, 11th, 7, Never-married, Transport-moving, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K.
+23, Private, 189203, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K.
+58, State-gov, 179089, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+44, Self-emp-not-inc, 53956, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 3137, 0, 40, United-States, <=50K.
+59, Self-emp-inc, 77816, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 40, United-States, >50K.
+36, Local-gov, 74593, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+42, Private, 196158, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 8614, 0, 52, United-States, >50K.
+17, Private, 28544, 11th, 7, Never-married, Sales, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K.
+59, Local-gov, 662460, 10th, 6, Widowed, Prof-specialty, Unmarried, White, Female, 0, 0, 15, United-States, <=50K.
+22, Private, 152328, Some-college, 10, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+40, Private, 120277, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+36, Private, 180278, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+19, ?, 426589, HS-grad, 9, Never-married, ?, Own-child, White, Female, 0, 0, 15, United-States, <=50K.
+49, Private, 111558, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 1977, 25, United-States, >50K.
+18, ?, 243203, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, Puerto-Rico, <=50K.
+38, Self-emp-not-inc, 195686, HS-grad, 9, Separated, Exec-managerial, Unmarried, White, Male, 0, 0, 25, United-States, <=50K.
+48, Private, 226696, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+53, ?, 118058, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, >50K.
+33, Private, 172237, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 46, United-States, <=50K.
+34, Self-emp-not-inc, 114074, Assoc-voc, 11, Widowed, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+41, Federal-gov, 171589, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, ?, >50K.
+20, ?, 184271, Assoc-acdm, 12, Never-married, ?, Own-child, White, Female, 594, 0, 20, United-States, <=50K.
+58, Local-gov, 218724, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+52, Private, 134190, 10th, 6, Divorced, Transport-moving, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+45, Local-gov, 181964, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1887, 47, United-States, >50K.
+37, Private, 385330, 7th-8th, 4, Separated, Other-service, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K.
+48, Private, 242406, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Dominican-Republic, <=50K.
+40, Federal-gov, 107584, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+29, Private, 127892, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+33, Private, 160261, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male, 0, 0, 10, United-States, <=50K.
+51, ?, 285200, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 2105, 0, 24, United-States, <=50K.
+48, Private, 153254, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, Black, Male, 0, 0, 48, United-States, <=50K.
+36, Self-emp-not-inc, 294672, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+31, Private, 145924, Some-college, 10, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 35, United-States, <=50K.
+41, Self-emp-not-inc, 280005, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+29, Federal-gov, 66893, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+20, Private, 47039, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+53, Federal-gov, 36186, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 40, United-States, >50K.
+37, Private, 159383, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+28, Private, 192010, Bachelors, 13, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 35, United-States, <=50K.
+27, Private, 216479, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+57, ?, 274680, Preschool, 1, Separated, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+23, Private, 211345, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, Nicaragua, <=50K.
+25, Private, 203561, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 56, United-States, >50K.
+63, Private, 170815, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 38, United-States, <=50K.
+65, Self-emp-not-inc, 200565, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 18, United-States, <=50K.
+77, Private, 89655, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+32, Private, 234195, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+40, Private, 98466, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+67, Private, 191437, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+35, Private, 77792, HS-grad, 9, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female, 0, 0, 40, ?, <=50K.
+24, Local-gov, 134181, Masters, 14, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+53, State-gov, 195690, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 50, United-States, >50K.
+37, Self-emp-inc, 94869, Masters, 14, Divorced, Prof-specialty, Not-in-family, Black, Male, 4787, 0, 40, United-States, >50K.
+44, State-gov, 267464, Some-college, 10, Separated, Tech-support, Own-child, Black, Female, 0, 0, 40, United-States, <=50K.
+25, ?, 257006, 11th, 7, Divorced, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+17, Private, 81010, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+47, Private, 54260, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 60, United-States, >50K.
+62, Federal-gov, 171995, 10th, 6, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 2829, 0, 40, United-States, <=50K.
+39, Private, 245665, Assoc-acdm, 12, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K.
+18, ?, 35855, 11th, 7, Never-married, ?, Own-child, White, Male, 0, 0, 30, United-States, <=50K.
+32, State-gov, 189838, Some-college, 10, Divorced, Prof-specialty, Other-relative, White, Female, 0, 0, 40, United-States, <=50K.
+25, Private, 629900, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, Black, Female, 0, 0, 40, United-States, >50K.
+30, Private, 84119, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 65, United-States, >50K.
+47, Private, 47343, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+40, Private, 103614, 10th, 6, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+38, Private, 303092, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+41, State-gov, 124520, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+21, Private, 220857, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K.
+32, State-gov, 247481, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 48, United-States, >50K.
+54, Private, 283281, 7th-8th, 4, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 50, United-States, <=50K.
+31, Private, 25610, Preschool, 1, Never-married, Handlers-cleaners, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 25, United-States, <=50K.
+42, Private, 13769, Assoc-voc, 11, Divorced, Prof-specialty, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+23, Private, 283969, 10th, 6, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, Mexico, <=50K.
+18, Private, 185522, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 33, United-States, <=50K.
+65, ?, 173309, 7th-8th, 4, Widowed, ?, Not-in-family, White, Female, 401, 0, 12, United-States, <=50K.
+37, Private, 144005, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+53, State-gov, 205949, Assoc-acdm, 12, Divorced, Adm-clerical, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K.
+50, Private, 158948, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 84, United-States, <=50K.
+64, Private, 240357, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, >50K.
+55, Private, 243929, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+63, Private, 201700, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 7298, 0, 40, United-States, >50K.
+53, Private, 208402, Some-college, 10, Divorced, Adm-clerical, Unmarried, Other, Female, 4865, 0, 45, Mexico, <=50K.
+18, Private, 120599, 11th, 7, Never-married, Adm-clerical, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+33, Private, 231826, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Mexico, <=50K.
+62, Private, 499971, 11th, 7, Widowed, Handlers-cleaners, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K.
+56, Private, 227972, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 48, Germany, >50K.
+58, State-gov, 299680, Masters, 14, Married-civ-spouse, Adm-clerical, Husband, White, Male, 15024, 0, 43, United-States, >50K.
+33, Private, 231822, 10th, 6, Separated, Sales, Unmarried, White, Female, 0, 0, 38, United-States, <=50K.
+58, Private, 185459, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+44, Private, 90582, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K.
+81, Private, 184615, 7th-8th, 4, Widowed, Machine-op-inspct, Unmarried, White, Female, 1264, 0, 40, United-States, <=50K.
+28, Private, 173858, HS-grad, 9, Never-married, Craft-repair, Other-relative, Asian-Pac-Islander, Male, 0, 0, 35, China, <=50K.
+28, Private, 132326, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+43, Private, 315037, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K.
+51, Private, 175122, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+23, Private, 239577, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 52, United-States, <=50K.
+48, Self-emp-not-inc, 96975, HS-grad, 9, Separated, Other-service, Unmarried, White, Female, 0, 0, 45, United-States, <=50K.
+45, Self-emp-inc, 61885, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 48, United-States, >50K.
+48, Private, 185870, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 70, United-States, <=50K.
+37, State-gov, 142282, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 16, United-States, <=50K.
+34, Private, 334744, Masters, 14, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, >50K.
+63, Self-emp-not-inc, 201600, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 1902, 60, United-States, >50K.
+38, Private, 34378, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+29, Private, 180271, HS-grad, 9, Never-married, Tech-support, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+33, Private, 123833, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+47, Private, 213304, 5th-6th, 3, Separated, Other-service, Unmarried, White, Female, 0, 0, 40, El-Salvador, <=50K.
+30, Private, 296538, 9th, 5, Divorced, Farming-fishing, Own-child, White, Male, 0, 0, 30, United-States, <=50K.
+35, Private, 391937, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+54, Self-emp-inc, 175339, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 2415, 40, United-States, >50K.
+26, Private, 60726, Masters, 14, Never-married, Exec-managerial, Not-in-family, Black, Male, 6849, 0, 50, United-States, <=50K.
+39, Private, 191103, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 54, United-States, <=50K.
+34, State-gov, 32174, HS-grad, 9, Separated, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+55, Private, 176219, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male, 0, 0, 40, India, <=50K.
+33, Self-emp-not-inc, 294434, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 76, United-States, >50K.
+17, Private, 310885, 7th-8th, 4, Never-married, Other-service, Own-child, White, Male, 0, 0, 36, Mexico, <=50K.
+27, Private, 171133, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 0, 38, United-States, <=50K.
+53, Private, 162951, 9th, 5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 41, United-States, >50K.
+43, Private, 223934, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+22, Private, 23940, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K.
+52, Private, 88073, Bachelors, 13, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 50, United-States, <=50K.
+60, Private, 57371, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+55, Self-emp-not-inc, 73684, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 65, United-States, >50K.
+39, Private, 107164, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K.
+29, Private, 120126, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1848, 40, United-States, >50K.
+41, Self-emp-not-inc, 54611, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 7298, 0, 50, United-States, >50K.
+61, Private, 131117, HS-grad, 9, Widowed, Transport-moving, Unmarried, White, Female, 0, 0, 40, Puerto-Rico, <=50K.
+71, Federal-gov, 101676, 10th, 6, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+20, Private, 403965, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 35, United-States, <=50K.
+33, Private, 177083, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, Canada, <=50K.
+52, Private, 173987, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K.
+40, Private, 352080, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, >50K.
+26, ?, 102400, HS-grad, 9, Married-civ-spouse, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+31, Local-gov, 378426, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 99, Columbia, <=50K.
+42, Private, 210857, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 50, United-States, >50K.
+63, Private, 165775, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 21, United-States, <=50K.
+53, Private, 295896, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+34, State-gov, 238944, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+48, Private, 149640, Some-college, 10, Separated, Craft-repair, Unmarried, White, Male, 1506, 0, 40, Honduras, <=50K.
+67, ?, 106175, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 20, United-States, >50K.
+49, Private, 191320, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K.
+28, Local-gov, 134771, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 55, United-States, <=50K.
+51, ?, 295538, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+44, Private, 120277, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 60, United-States, >50K.
+27, Private, 82393, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, >50K.
+49, Private, 146121, 5th-6th, 3, Married-spouse-absent, Machine-op-inspct, Unmarried, Asian-Pac-Islander, Female, 0, 0, 20, Vietnam, <=50K.
+34, Private, 162544, 7th-8th, 4, Never-married, Priv-house-serv, Own-child, White, Female, 0, 0, 30, United-States, <=50K.
+27, Self-emp-not-inc, 216178, Bachelors, 13, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 35, United-States, <=50K.
+38, Self-emp-not-inc, 248694, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 36, United-States, <=50K.
+24, Private, 219140, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+29, Private, 360401, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 1719, 48, United-States, <=50K.
+39, Private, 319962, HS-grad, 9, Divorced, Sales, Other-relative, White, Female, 0, 0, 40, United-States, <=50K.
+50, Private, 115284, Masters, 14, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+42, Private, 29702, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 42, United-States, >50K.
+63, ?, 107085, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 7, United-States, <=50K.
+44, State-gov, 204361, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+58, Private, 218312, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+25, Private, 182332, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K.
+23, Private, 127876, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K.
+20, Private, 316702, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+46, Self-emp-not-inc, 292549, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+21, Private, 203178, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K.
+63, Private, 180099, 10th, 6, Separated, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+38, Private, 154541, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 4386, 0, 40, United-States, >50K.
+27, Private, 95465, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 55, United-States, <=50K.
+41, Private, 171839, Masters, 14, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 50, United-States, >50K.
+43, Private, 115562, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 50, United-States, >50K.
+39, State-gov, 42478, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+48, ?, 117054, 5th-6th, 3, Divorced, ?, Not-in-family, White, Male, 0, 0, 99, United-States, <=50K.
+56, Self-emp-inc, 124137, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 45, United-States, >50K.
+44, State-gov, 107503, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 5013, 0, 60, United-States, <=50K.
+24, Private, 70261, Some-college, 10, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+49, Private, 367037, Assoc-acdm, 12, Divorced, Adm-clerical, Not-in-family, White, Female, 4650, 0, 40, United-States, <=50K.
+38, Private, 258339, Assoc-voc, 11, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 70, Iran, <=50K.
+36, Self-emp-not-inc, 269509, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K.
+27, State-gov, 301302, Doctorate, 16, Married-spouse-absent, Tech-support, Not-in-family, White, Male, 0, 0, 20, ?, <=50K.
+50, Private, 369367, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+46, Private, 224582, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 52, United-States, <=50K.
+41, Local-gov, 343591, Bachelors, 13, Separated, Prof-specialty, Unmarried, White, Female, 0, 0, 10, United-States, <=50K.
+45, ?, 53540, 11th, 7, Divorced, ?, Unmarried, Black, Female, 0, 0, 16, United-States, <=50K.
+46, Private, 153536, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+65, ?, 91262, HS-grad, 9, Married-civ-spouse, ?, Husband, Asian-Pac-Islander, Male, 0, 0, 48, United-States, >50K.
+44, Private, 238574, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K.
+35, Private, 247558, Some-college, 10, Divorced, Tech-support, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+44, Self-emp-not-inc, 188278, Assoc-acdm, 12, Divorced, Exec-managerial, Unmarried, Black, Female, 0, 0, 45, United-States, <=50K.
+51, Private, 194995, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+74, Local-gov, 168782, 7th-8th, 4, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K.
+32, Private, 287229, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K.
+22, Private, 202153, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 30, United-States, <=50K.
+58, ?, 230586, 10th, 6, Widowed, ?, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+47, Private, 115358, HS-grad, 9, Divorced, Exec-managerial, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+32, Private, 78283, 12th, 8, Never-married, Transport-moving, Unmarried, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K.
+64, Federal-gov, 168854, Some-college, 10, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K.
+44, Private, 222011, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 25, United-States, >50K.
+59, Private, 157749, Bachelors, 13, Widowed, Exec-managerial, Unmarried, White, Male, 0, 3004, 40, United-States, >50K.
+34, Private, 203814, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 35, United-States, <=50K.
+54, Private, 74660, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Male, 0, 0, 40, Canada, >50K.
+33, Private, 292603, Some-college, 10, Divorced, Other-service, Not-in-family, Black, Female, 0, 0, 30, Dominican-Republic, <=50K.
+44, Private, 172364, 1st-4th, 2, Married-civ-spouse, Transport-moving, Wife, White, Female, 3908, 0, 60, United-States, <=50K.
+31, Private, 305619, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K.
+30, State-gov, 157990, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+18, Private, 120243, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 17, United-States, <=50K.
+56, Self-emp-not-inc, 296991, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, England, >50K.
+24, Private, 174845, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+23, Private, 180475, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+51, Private, 152652, 11th, 7, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+24, Private, 172941, Bachelors, 13, Never-married, Prof-specialty, Unmarried, Black, Male, 0, 0, 20, United-States, <=50K.
+39, Federal-gov, 450770, HS-grad, 9, Never-married, Handlers-cleaners, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K.
+49, Self-emp-not-inc, 166003, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+22, ?, 204935, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+42, State-gov, 60949, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+51, Local-gov, 181132, Masters, 14, Separated, Prof-specialty, Not-in-family, White, Male, 0, 0, 39, United-States, >50K.
+20, Private, 408988, Some-college, 10, Never-married, Sales, Own-child, White, Female, 594, 0, 24, United-States, <=50K.
+49, Private, 169515, 10th, 6, Never-married, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K.
+31, Private, 250087, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K.
+41, Private, 208613, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+35, Private, 225172, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K.
+20, ?, 125905, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 30, United-States, <=50K.
+35, Private, 165007, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 4386, 0, 42, United-States, >50K.
+46, Private, 165346, Masters, 14, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 8, United-States, <=50K.
+35, Private, 37655, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 60, United-States, <=50K.
+21, Private, 172047, Some-college, 10, Never-married, Tech-support, Own-child, White, Male, 0, 0, 20, United-States, <=50K.
+45, Private, 178530, 12th, 8, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+37, Local-gov, 347491, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+45, Self-emp-inc, 208049, Assoc-acdm, 12, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 1590, 40, United-States, <=50K.
+18, Private, 111019, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 24, United-States, <=50K.
+53, Self-emp-not-inc, 163826, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K.
+24, Local-gov, 117023, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+35, Private, 281982, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+28, Private, 150025, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Puerto-Rico, <=50K.
+50, Private, 176215, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 56, United-States, >50K.
+38, Private, 166062, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K.
+34, Local-gov, 28568, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+53, Private, 53833, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 32, United-States, >50K.
+46, Private, 219967, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 45, United-States, >50K.
+50, Private, 309017, Some-college, 10, Divorced, Sales, Unmarried, White, Male, 0, 0, 45, United-States, <=50K.
+45, Private, 353083, Some-college, 10, Separated, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+29, Private, 257992, Assoc-voc, 11, Never-married, Sales, Own-child, Black, Male, 0, 0, 23, United-States, <=50K.
+41, Private, 283174, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 99999, 0, 40, United-States, >50K.
+43, Self-emp-not-inc, 185413, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 50, United-States, >50K.
+29, Private, 207513, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 56, United-States, <=50K.
+53, Private, 56213, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K.
+24, Private, 100961, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+35, Private, 51700, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+25, Private, 199224, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 30, United-States, <=50K.
+43, Local-gov, 70055, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 56, United-States, <=50K.
+38, Private, 183683, 10th, 6, Married-spouse-absent, Other-service, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+64, Private, 45868, 7th-8th, 4, Separated, Priv-house-serv, Not-in-family, Other, Female, 0, 0, 35, Mexico, <=50K.
+37, Private, 94706, Bachelors, 13, Never-married, Prof-specialty, Own-child, Amer-Indian-Eskimo, Male, 27828, 0, 40, United-States, >50K.
+48, Private, 322183, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 35, United-States, >50K.
+27, Self-emp-not-inc, 226976, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K.
+45, Private, 262678, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+41, Private, 135056, Masters, 14, Widowed, Prof-specialty, Not-in-family, White, Female, 10520, 0, 38, United-States, >50K.
+33, ?, 148380, Bachelors, 13, Married-civ-spouse, ?, Wife, White, Female, 3103, 0, 60, United-States, >50K.
+42, Private, 270710, 9th, 5, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+29, Private, 166220, Bachelors, 13, Never-married, Sales, Own-child, White, Female, 0, 0, 50, United-States, <=50K.
+29, Private, 229803, HS-grad, 9, Married-spouse-absent, Transport-moving, Not-in-family, Black, Male, 0, 0, 49, Haiti, <=50K.
+71, Self-emp-inc, 172652, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 30, United-States, <=50K.
+29, Federal-gov, 204796, 10th, 6, Separated, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+23, State-gov, 186634, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 16, United-States, <=50K.
+28, Private, 106672, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 2, United-States, <=50K.
+55, Private, 135339, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, China, >50K.
+47, State-gov, 287547, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+21, ?, 197583, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+33, Private, 159737, HS-grad, 9, Separated, Handlers-cleaners, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+35, Local-gov, 252217, 12th, 8, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+42, Self-emp-inc, 202466, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 45, United-States, >50K.
+33, Private, 123031, HS-grad, 9, Married-spouse-absent, Adm-clerical, Unmarried, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K.
+30, Private, 226296, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+37, Private, 232036, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+19, ?, 233779, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 25, United-States, <=50K.
+21, ?, 152328, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+46, Self-emp-not-inc, 481987, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, <=50K.
+42, Private, 107563, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K.
+28, Private, 184806, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 58, United-States, <=50K.
+36, Private, 188850, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K.
+39, Private, 127573, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+27, Private, 72443, HS-grad, 9, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+57, Private, 142080, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 38, United-States, >50K.
+50, Private, 143353, HS-grad, 9, Divorced, Priv-house-serv, Unmarried, Black, Female, 0, 0, 12, United-States, <=50K.
+63, Private, 172433, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 40, United-States, >50K.
+44, Private, 67874, Some-college, 10, Divorced, Sales, Unmarried, White, Male, 0, 625, 50, United-States, <=50K.
+38, Private, 415578, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+30, Self-emp-not-inc, 370498, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+20, Private, 140513, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 25, United-States, <=50K.
+44, Self-emp-not-inc, 193882, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K.
+24, Private, 289909, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+26, Private, 284078, Some-college, 10, Never-married, Transport-moving, Not-in-family, White, Male, 2354, 0, 40, United-States, <=50K.
+42, Self-emp-not-inc, 83953, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 70, United-States, <=50K.
+54, Private, 167380, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+45, State-gov, 112761, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K.
+37, Private, 420040, 1st-4th, 2, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, Mexico, <=50K.
+30, Federal-gov, 42900, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+36, Private, 32086, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 40, United-States, >50K.
+19, Private, 291181, 9th, 5, Never-married, Other-service, Own-child, White, Female, 0, 0, 50, Mexico, <=50K.
+22, Private, 71009, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K.
+65, Federal-gov, 200764, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+52, ?, 133336, 10th, 6, Divorced, ?, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K.
+36, Self-emp-not-inc, 166193, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 30, United-States, <=50K.
+22, Private, 240229, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+28, Private, 334032, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+30, State-gov, 184901, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+47, Private, 132912, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K.
+29, Private, 217290, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+36, Private, 184655, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+30, Private, 242739, Bachelors, 13, Divorced, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+52, Private, 279344, Masters, 14, Married-civ-spouse, Exec-managerial, Wife, White, Female, 15024, 0, 60, United-States, >50K.
+62, Private, 166691, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+42, Private, 154374, Masters, 14, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, >50K.
+33, Private, 31740, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+17, Private, 129396, 11th, 7, Never-married, Sales, Other-relative, White, Female, 0, 0, 26, United-States, <=50K.
+54, Private, 195015, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+41, Private, 187431, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+45, State-gov, 259087, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K.
+37, State-gov, 62428, Some-college, 10, Never-married, Prof-specialty, Unmarried, Black, Female, 0, 0, 15, United-States, <=50K.
+21, Private, 77572, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 34, South, <=50K.
+29, Private, 245402, Bachelors, 13, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+18, State-gov, 201117, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+18, ?, 36779, 11th, 7, Never-married, ?, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+62, Private, 177028, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+19, Private, 106306, Some-college, 10, Never-married, Craft-repair, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+62, Private, 101582, 7th-8th, 4, Widowed, Machine-op-inspct, Unmarried, White, Female, 0, 0, 35, United-States, <=50K.
+58, Local-gov, 158357, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+34, Private, 377850, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+62, Private, 207443, 11th, 7, Never-married, Machine-op-inspct, Other-relative, White, Male, 0, 0, 50, United-States, <=50K.
+23, Private, 130959, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 12, United-States, <=50K.
+37, Private, 112497, Bachelors, 13, Married-spouse-absent, Exec-managerial, Unmarried, White, Male, 4934, 0, 50, United-States, >50K.
+42, Private, 190545, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 46, United-States, <=50K.
+21, Private, 114292, 11th, 7, Never-married, Other-service, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+41, Private, 75171, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+27, Private, 312939, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+37, Private, 52870, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+40, Private, 174947, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, >50K.
+62, Local-gov, 106069, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+29, Private, 298696, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+33, Private, 392812, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 50, United-States, >50K.
+53, Private, 117932, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+64, Private, 135527, Assoc-voc, 11, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+60, Private, 135158, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 15024, 0, 48, United-States, >50K.
+47, Private, 54260, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+45, State-gov, 28171, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+33, Private, 150324, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+29, Private, 109494, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 5178, 0, 45, United-States, >50K.
+57, Private, 204209, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 3103, 0, 40, United-States, >50K.
+19, Private, 328167, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 35, United-States, <=50K.
+26, Private, 157617, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, ?, <=50K.
+63, Self-emp-inc, 180955, 5th-6th, 3, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 25, United-States, <=50K.
+42, Private, 478373, Assoc-acdm, 12, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+38, Self-emp-not-inc, 245090, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 50, United-States, >50K.
+34, Private, 209900, 10th, 6, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+20, ?, 228649, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 30, United-States, <=50K.
+35, Private, 190297, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+38, Private, 44780, Bachelors, 13, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 8, United-States, >50K.
+52, State-gov, 32372, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+32, Private, 137184, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+67, Private, 366425, Doctorate, 16, Divorced, Exec-managerial, Not-in-family, White, Male, 99999, 0, 60, United-States, >50K.
+26, Private, 160307, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 2001, 40, United-States, <=50K.
+58, Private, 170480, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K.
+48, Private, 224393, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K.
+25, Private, 173212, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+25, Private, 86646, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 4865, 0, 48, United-States, <=50K.
+25, Private, 108683, Some-college, 10, Never-married, Handlers-cleaners, Unmarried, White, Male, 0, 0, 50, United-States, <=50K.
+18, Private, 70021, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 12, United-States, <=50K.
+36, Private, 192939, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+45, Self-emp-not-inc, 144086, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+34, Private, 97614, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+68, Self-emp-inc, 260198, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K.
+37, Private, 486194, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, Guatemala, <=50K.
+21, Private, 112225, Some-college, 10, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Male, 0, 0, 15, United-States, <=50K.
+49, Private, 164200, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+39, Local-gov, 52401, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K.
+41, Private, 195821, Doctorate, 16, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 1902, 40, United-States, >50K.
+35, Private, 108140, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+29, Local-gov, 187981, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+29, ?, 108126, 9th, 5, Separated, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+54, Local-gov, 168212, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 40, United-States, >50K.
+32, Self-emp-not-inc, 198613, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, ?, >50K.
+18, Private, 52098, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K.
+30, Private, 509364, Some-college, 10, Married-civ-spouse, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, >50K.
+66, ?, 128614, 10th, 6, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 15, United-States, >50K.
+23, Local-gov, 238384, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+36, Private, 317434, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+34, Private, 158688, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+39, Self-emp-not-inc, 267412, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+26, Local-gov, 391074, 10th, 6, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 40, United-States, <=50K.
+78, Private, 135692, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+28, Private, 78529, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+51, Private, 117700, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+33, Local-gov, 83413, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 50, United-States, >50K.
+44, ?, 210875, 11th, 7, Divorced, ?, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K.
+34, Private, 108023, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+33, Self-emp-not-inc, 103435, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 50, United-States, >50K.
+28, Private, 632733, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K.
+55, Private, 266019, 9th, 5, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 4, United-States, <=50K.
+30, Private, 41210, Assoc-voc, 11, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+45, Private, 125892, HS-grad, 9, Married-spouse-absent, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Poland, <=50K.
+46, Private, 135339, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, >50K.
+17, Private, 272372, 11th, 7, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 7, United-States, <=50K.
+40, Private, 291300, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Puerto-Rico, <=50K.
+44, Local-gov, 157473, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, >50K.
+56, Private, 329948, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+69, Self-emp-inc, 264722, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K.
+41, Private, 132853, 1st-4th, 2, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, Mexico, <=50K.
+47, Local-gov, 216586, 11th, 7, Divorced, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+33, Private, 504725, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 3464, 0, 40, Mexico, <=50K.
+25, State-gov, 150083, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K.
+42, Private, 188789, 7th-8th, 4, Widowed, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K.
+65, ?, 101427, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 2653, 0, 30, United-States, <=50K.
+24, Private, 103277, Assoc-voc, 11, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+48, Federal-gov, 191013, Bachelors, 13, Widowed, Prof-specialty, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K.
+82, Self-emp-inc, 220667, 7th-8th, 4, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+36, Private, 188800, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K.
+34, Private, 24361, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Female, 10520, 0, 40, United-States, >50K.
+28, Private, 82910, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+65, Private, 105586, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 20051, 0, 40, United-States, >50K.
+66, Self-emp-not-inc, 240294, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 60, United-States, <=50K.
+40, Private, 21755, Some-college, 10, Never-married, Craft-repair, Other-relative, Amer-Indian-Eskimo, Male, 0, 0, 30, United-States, <=50K.
+66, Private, 73522, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, ?, <=50K.
+37, Private, 222450, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, El-Salvador, <=50K.
+34, Private, 35595, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+41, Self-emp-not-inc, 239061, Masters, 14, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K.
+43, Private, 122473, Masters, 14, Married-civ-spouse, Exec-managerial, Wife, Black, Female, 0, 1977, 50, United-States, >50K.
+20, Private, 190290, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 45, Canada, <=50K.
+59, Private, 193375, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 10, United-States, <=50K.
+48, Private, 148576, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K.
+45, State-gov, 72896, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+28, Private, 180299, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, <=50K.
+43, Private, 221550, Bachelors, 13, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 35, United-States, <=50K.
+18, Private, 183011, Some-college, 10, Never-married, Other-service, Own-child, Black, Female, 0, 0, 15, Haiti, <=50K.
+34, ?, 370209, HS-grad, 9, Divorced, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+55, Self-emp-inc, 298449, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2179, 60, United-States, <=50K.
+21, Local-gov, 300812, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+47, Private, 173938, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+45, Private, 282172, Assoc-acdm, 12, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+61, Private, 87300, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+23, Private, 64520, 10th, 6, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+44, State-gov, 119567, Masters, 14, Separated, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+45, Private, 117310, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 50, United-States, >50K.
+35, State-gov, 28738, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 4101, 0, 40, United-States, <=50K.
+17, ?, 99695, 10th, 6, Never-married, ?, Own-child, White, Female, 0, 0, 15, United-States, <=50K.
+49, Private, 366089, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+40, Private, 234397, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 40, United-States, >50K.
+28, Self-emp-not-inc, 132686, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+33, Self-emp-inc, 196963, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K.
+31, State-gov, 46492, Assoc-voc, 11, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+38, Local-gov, 274245, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+62, Private, 360032, 10th, 6, Divorced, Sales, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K.
+40, Private, 144778, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+61, Private, 142245, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+42, Federal-gov, 178074, Masters, 14, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 1902, 40, United-States, >50K.
+19, ?, 218171, Some-college, 10, Never-married, ?, Own-child, Asian-Pac-Islander, Male, 0, 0, 2, South, <=50K.
+32, Local-gov, 130242, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+52, Private, 98980, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+34, Private, 284629, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+37, Private, 114591, Assoc-acdm, 12, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, >50K.
+30, Private, 134639, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 8614, 0, 45, United-States, >50K.
+27, Private, 134890, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+25, Private, 199545, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K.
+32, Private, 227282, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+47, Self-emp-inc, 308241, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 60, United-States, >50K.
+43, Private, 214781, Some-college, 10, Never-married, Adm-clerical, Unmarried, White, Male, 0, 0, 38, United-States, >50K.
+50, Local-gov, 173630, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 36, United-States, >50K.
+42, Federal-gov, 348059, Assoc-acdm, 12, Separated, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, >50K.
+31, Private, 208785, 11th, 7, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K.
+43, Private, 151809, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 30, United-States, <=50K.
+37, Private, 71592, HS-grad, 9, Never-married, Other-service, Other-relative, Asian-Pac-Islander, Female, 0, 0, 17, United-States, <=50K.
+58, Private, 132704, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, White, Male, 3325, 0, 40, United-States, <=50K.
+32, Private, 250583, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K.
+35, Private, 114765, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 38, United-States, >50K.
+40, Self-emp-not-inc, 194924, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+39, Self-emp-not-inc, 73471, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 1573, 45, United-States, <=50K.
+51, Private, 250423, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K.
+42, Private, 145441, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+27, Private, 86681, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+69, Private, 188643, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 1429, 30, United-States, <=50K.
+74, Private, 68326, Assoc-voc, 11, Widowed, Priv-house-serv, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+36, Private, 382859, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 43, United-States, >50K.
+23, ?, 211968, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 23, Iran, <=50K.
+48, Local-gov, 132368, 5th-6th, 3, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+38, Private, 196123, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+68, Private, 178066, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 1797, 0, 24, United-States, <=50K.
+40, State-gov, 105936, Prof-school, 15, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+23, Private, 306639, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+48, Private, 26502, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+47, Local-gov, 204698, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+55, Private, 118057, HS-grad, 9, Widowed, Craft-repair, Unmarried, White, Male, 0, 0, 51, United-States, <=50K.
+22, State-gov, 199266, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 17, United-States, <=50K.
+49, Private, 248145, HS-grad, 9, Married-civ-spouse, Craft-repair, Other-relative, White, Male, 0, 0, 40, Nicaragua, <=50K.
+51, Private, 239284, HS-grad, 9, Widowed, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+42, Self-emp-inc, 188738, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 40, United-States, >50K.
+31, Private, 209101, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+67, Local-gov, 197816, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 24, United-States, <=50K.
+27, ?, 60726, Bachelors, 13, Never-married, ?, Not-in-family, Black, Male, 0, 0, 45, United-States, <=50K.
+59, Self-emp-not-inc, 211678, Masters, 14, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 15, United-States, <=50K.
+66, Private, 304957, HS-grad, 9, Widowed, Priv-house-serv, Unmarried, White, Female, 0, 0, 25, United-States, <=50K.
+28, Private, 278552, Assoc-voc, 11, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, United-States, >50K.
+33, Self-emp-not-inc, 79303, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+44, Local-gov, 64632, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K.
+39, Private, 560313, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 45, United-States, >50K.
+39, Local-gov, 174597, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 42, United-States, <=50K.
+46, Private, 139946, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 38, United-States, >50K.
+19, Private, 277695, Preschool, 1, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 36, Mexico, <=50K.
+44, Self-emp-not-inc, 138471, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+24, Private, 320615, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 2205, 40, United-States, <=50K.
+48, Private, 164954, HS-grad, 9, Never-married, Other-service, Own-child, Black, Female, 0, 0, 42, United-States, <=50K.
+27, Private, 263728, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 3137, 0, 50, United-States, <=50K.
+44, Private, 103980, Some-college, 10, Divorced, Prof-specialty, Own-child, White, Male, 3325, 0, 35, United-States, <=50K.
+30, Private, 159442, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, Ireland, <=50K.
+32, Federal-gov, 113838, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+49, Private, 28171, Masters, 14, Married-civ-spouse, Protective-serv, Husband, White, Male, 15024, 0, 78, United-States, >50K.
+37, Self-emp-not-inc, 227253, Preschool, 1, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 30, Mexico, <=50K.
+24, Private, 211129, Bachelors, 13, Never-married, Exec-managerial, Other-relative, White, Female, 0, 0, 60, United-States, >50K.
+19, Private, 120003, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+20, Private, 245182, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 10, United-States, <=50K.
+25, Private, 188767, Assoc-acdm, 12, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+29, Private, 227890, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+43, Private, 131650, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+35, Local-gov, 258725, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+47, Local-gov, 127678, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 48, United-States, >50K.
+53, Private, 110747, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+27, Private, 409246, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, >50K.
+32, Private, 128829, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+36, Private, 170031, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+55, Self-emp-not-inc, 150917, 7th-8th, 4, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 80, United-States, <=50K.
+41, Private, 197372, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 70, United-States, <=50K.
+49, Self-emp-not-inc, 43479, Doctorate, 16, Divorced, Prof-specialty, Unmarried, White, Male, 0, 0, 63, Canada, >50K.
+36, Private, 166549, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+62, Private, 119684, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 2829, 0, 28, United-States, <=50K.
+44, Private, 651702, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 72, United-States, <=50K.
+69, Self-emp-not-inc, 199829, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1258, 40, United-States, <=50K.
+22, Private, 86745, Some-college, 10, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K.
+36, Private, 644278, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 25, United-States, <=50K.
+58, Private, 31137, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 3464, 0, 60, United-States, <=50K.
+32, Private, 104525, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 2407, 0, 40, United-States, <=50K.
+19, ?, 91278, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 25, United-States, <=50K.
+27, Private, 111361, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 35, United-States, <=50K.
+19, ?, 291692, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 28, United-States, <=50K.
+35, Private, 228881, HS-grad, 9, Never-married, Craft-repair, Other-relative, Other, Male, 0, 0, 40, Puerto-Rico, <=50K.
+58, Private, 152731, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K.
+18, Private, 178310, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+48, Self-emp-not-inc, 116360, Assoc-voc, 11, Divorced, Tech-support, Other-relative, Black, Female, 0, 0, 10, United-States, <=50K.
+22, Private, 535852, 10th, 6, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K.
+39, Private, 30828, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+47, Self-emp-not-inc, 39518, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+23, Private, 445758, 5th-6th, 3, Never-married, Handlers-cleaners, Unmarried, White, Male, 0, 0, 40, Mexico, <=50K.
+40, Private, 222504, Assoc-voc, 11, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 36, United-States, <=50K.
+35, Private, 357619, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, Germany, <=50K.
+20, ?, 121389, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 32, United-States, <=50K.
+41, Private, 228847, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K.
+27, Private, 118598, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K.
+58, Private, 49893, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+38, Private, 452353, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+40, State-gov, 285000, Bachelors, 13, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+29, Private, 263300, HS-grad, 9, Separated, Priv-house-serv, Unmarried, Black, Female, 0, 0, 55, United-States, <=50K.
+28, State-gov, 132675, Assoc-voc, 11, Never-married, Exec-managerial, Not-in-family, Black, Female, 0, 0, 40, Germany, <=50K.
+35, Private, 175232, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+18, Private, 257421, 12th, 8, Never-married, Machine-op-inspct, Own-child, Black, Female, 0, 0, 40, United-States, <=50K.
+29, Private, 196227, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+25, Private, 34965, Some-college, 10, Never-married, Sales, Other-relative, White, Male, 0, 0, 40, United-States, <=50K.
+65, Private, 475775, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 22, United-States, <=50K.
+19, Private, 196857, 11th, 7, Never-married, Adm-clerical, Own-child, White, Female, 594, 0, 15, United-States, <=50K.
+37, Private, 159917, 9th, 5, Separated, Other-service, Unmarried, White, Female, 0, 0, 25, United-States, <=50K.
+22, Private, 212803, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+70, Private, 118902, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, Scotland, <=50K.
+21, Local-gov, 166827, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K.
+21, Private, 180060, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+23, Private, 47218, Some-college, 10, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K.
+46, Private, 73541, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+33, State-gov, 150688, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 50, India, >50K.
+36, Private, 207824, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 40, United-States, >50K.
+42, Self-emp-inc, 198282, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K.
+52, Private, 206359, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+55, ?, 125659, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 6, United-States, >50K.
+60, Local-gov, 129193, Some-college, 10, Widowed, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+57, Local-gov, 167457, 7th-8th, 4, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+35, Private, 455469, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, >50K.
+24, Private, 206891, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+37, Private, 269323, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K.
+45, Local-gov, 187715, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K.
+48, Federal-gov, 71376, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+22, Private, 268707, 11th, 7, Married-civ-spouse, Machine-op-inspct, Other-relative, White, Male, 0, 0, 42, United-States, <=50K.
+45, Private, 215620, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+32, Private, 158438, HS-grad, 9, Divorced, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+35, Private, 209629, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+22, Private, 121076, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+34, Private, 97933, 9th, 5, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 38, United-States, <=50K.
+25, Private, 177423, HS-grad, 9, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male, 4416, 0, 45, Philippines, <=50K.
+39, Private, 185520, Some-college, 10, Never-married, Farming-fishing, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+44, Federal-gov, 38321, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+33, Private, 213307, 1st-4th, 2, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K.
+48, Private, 328581, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+58, Private, 177368, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+36, Private, 148903, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K.
+53, Self-emp-not-inc, 385520, HS-grad, 9, Widowed, Farming-fishing, Unmarried, White, Female, 0, 0, 55, United-States, <=50K.
+25, Self-emp-not-inc, 193716, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+21, Private, 238899, Bachelors, 13, Never-married, Sales, Own-child, Black, Female, 0, 0, 30, United-States, <=50K.
+36, Private, 209993, 5th-6th, 3, Married-civ-spouse, Priv-house-serv, Wife, White, Female, 0, 0, 40, El-Salvador, <=50K.
+51, State-gov, 136060, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+26, Local-gov, 192944, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+41, Private, 29927, Assoc-voc, 11, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+23, Local-gov, 200593, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+20, Private, 311376, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 25, United-States, <=50K.
+58, Private, 206814, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 7688, 0, 50, United-States, >50K.
+21, Private, 278391, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 25, Nicaragua, <=50K.
+32, Private, 364657, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K.
+54, ?, 120781, Doctorate, 16, Married-spouse-absent, ?, Unmarried, Asian-Pac-Islander, Male, 0, 0, 20, India, <=50K.
+62, Private, 175080, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+29, ?, 522241, Some-college, 10, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+43, Private, 161240, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+20, Private, 162282, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 60, United-States, <=50K.
+23, Private, 199419, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+26, Private, 171114, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+33, Private, 208855, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K.
+30, Private, 381030, Some-college, 10, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+63, Private, 219337, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 3471, 0, 45, United-States, <=50K.
+45, Private, 180010, HS-grad, 9, Divorced, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+39, Private, 189382, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+26, Private, 121712, HS-grad, 9, Never-married, Handlers-cleaners, Unmarried, White, Male, 0, 0, 30, United-States, <=50K.
+28, ?, 192257, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 5, United-States, <=50K.
+20, ?, 68620, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+39, Private, 352188, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+34, Private, 398874, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K.
+33, Private, 191930, HS-grad, 9, Never-married, Other-service, Other-relative, Black, Male, 0, 0, 50, United-States, <=50K.
+26, Private, 269168, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K.
+20, ?, 123536, Some-college, 10, Never-married, ?, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K.
+40, Private, 173651, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+49, Private, 149337, HS-grad, 9, Separated, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+64, Private, 146674, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, ?, >50K.
+65, Private, 173483, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K.
+19, Private, 223669, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K.
+47, Private, 182177, Some-college, 10, Divorced, Protective-serv, Unmarried, White, Female, 0, 0, 23, United-States, <=50K.
+24, Private, 109414, Some-college, 10, Never-married, Sales, Other-relative, Asian-Pac-Islander, Male, 0, 0, 20, India, <=50K.
+55, Self-emp-inc, 150917, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 45, United-States, >50K.
+61, Self-emp-not-inc, 39128, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K.
+47, Local-gov, 103540, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K.
+64, Private, 110212, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+37, Private, 222450, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 2339, 40, El-Salvador, <=50K.
+21, ?, 113760, HS-grad, 9, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+40, ?, 253717, 11th, 7, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 16, United-States, <=50K.
+25, Private, 306908, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+41, Self-emp-not-inc, 263871, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K.
+40, State-gov, 55294, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+21, Private, 174063, Assoc-voc, 11, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+54, State-gov, 258735, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+47, Private, 275867, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+21, Private, 154235, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K.
+32, Local-gov, 210448, Some-college, 10, Married-civ-spouse, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K.
+32, Private, 337908, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K.
+26, State-gov, 205333, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 10, United-States, <=50K.
+23, Private, 187447, Some-college, 10, Separated, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+27, Private, 153589, 9th, 5, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+29, Local-gov, 149988, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+43, Private, 398959, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+23, ?, 194096, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 30, United-States, <=50K.
+39, Private, 44041, Assoc-acdm, 12, Married-spouse-absent, Adm-clerical, Other-relative, White, Male, 0, 0, 60, United-States, <=50K.
+22, Private, 208946, Assoc-acdm, 12, Never-married, Sales, Own-child, White, Male, 0, 0, 30, ?, <=50K.
+47, Private, 202117, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 37, United-States, <=50K.
+34, Local-gov, 303129, HS-grad, 9, Divorced, Transport-moving, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K.
+35, Private, 215419, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K.
+20, Private, 175069, Some-college, 10, Never-married, Sales, Own-child, White, Male, 1055, 0, 30, United-States, <=50K.
+36, Federal-gov, 20469, HS-grad, 9, Divorced, Adm-clerical, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K.
+52, Private, 254680, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 99, United-States, <=50K.
+38, Self-emp-inc, 46385, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+33, Private, 178463, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+18, Private, 229296, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 35, United-States, <=50K.
+38, Private, 179352, Assoc-acdm, 12, Married-spouse-absent, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+56, Self-emp-not-inc, 177368, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 50, United-States, >50K.
+30, Private, 156015, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K.
+35, State-gov, 308945, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, >50K.
+60, Self-emp-not-inc, 119575, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+20, Private, 332689, 5th-6th, 3, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Mexico, <=50K.
+18, Private, 150817, 12th, 8, Never-married, Protective-serv, Own-child, White, Female, 0, 0, 45, United-States, <=50K.
+19, Private, 50941, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 15, United-States, <=50K.
+53, Federal-gov, 59664, HS-grad, 9, Married-civ-spouse, Sales, Husband, Black, Male, 5013, 0, 40, United-States, <=50K.
+18, Private, 56613, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+44, Private, 162372, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, Puerto-Rico, <=50K.
+57, Private, 77927, 5th-6th, 3, Divorced, Other-service, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 37, United-States, <=50K.
+36, ?, 157278, Some-college, 10, Never-married, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+40, Self-emp-not-inc, 170214, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 70, Iran, <=50K.
+33, Private, 76493, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, >50K.
+19, Private, 130431, 5th-6th, 3, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 36, Mexico, <=50K.
+40, State-gov, 23037, Some-college, 10, Never-married, Other-service, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 84, United-States, <=50K.
+20, Self-emp-not-inc, 176321, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+47, Private, 105449, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 65, United-States, >50K.
+41, Private, 157217, HS-grad, 9, Separated, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+47, Federal-gov, 382532, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1887, 40, United-States, >50K.
+23, Private, 250918, Some-college, 10, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 30, United-States, <=50K.
+49, State-gov, 139268, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 70, United-States, >50K.
+37, Self-emp-not-inc, 200352, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K.
+67, Private, 267915, HS-grad, 9, Divorced, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+24, Private, 376474, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+39, Private, 153047, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K.
+29, Private, 154236, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 4386, 0, 58, United-States, >50K.
+22, ?, 261881, 11th, 7, Never-married, ?, Other-relative, Black, Female, 0, 0, 15, United-States, <=50K.
+26, Private, 427744, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+33, Self-emp-not-inc, 100580, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 10, United-States, <=50K.
+23, Private, 238179, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 2339, 45, United-States, <=50K.
+37, State-gov, 272471, Some-college, 10, Widowed, Transport-moving, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+30, Private, 259058, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Male, 0, 1726, 40, United-States, <=50K.
+41, Private, 112656, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+23, Private, 197286, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+47, Federal-gov, 26145, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+24, Private, 314440, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+39, Private, 57691, HS-grad, 9, Separated, Exec-managerial, Not-in-family, White, Male, 0, 2258, 70, United-States, <=50K.
+33, Private, 301251, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, >50K.
+25, Private, 243410, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K.
+40, Private, 119008, HS-grad, 9, Separated, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+67, Private, 169435, 9th, 5, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+55, Private, 200327, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 18, United-States, <=50K.
+69, Private, 31501, Assoc-voc, 11, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+34, Private, 223327, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 1672, 42, United-States, <=50K.
+52, Private, 191130, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 40, United-States, >50K.
+22, ?, 191561, Some-college, 10, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 30, United-States, <=50K.
+47, Private, 245724, Bachelors, 13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+45, Private, 194134, Assoc-voc, 11, Never-married, Other-service, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K.
+23, Private, 140764, Bachelors, 13, Never-married, Sales, Own-child, White, Female, 0, 1590, 40, United-States, <=50K.
+41, Self-emp-not-inc, 189941, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+32, Private, 149368, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+57, Local-gov, 237546, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K.
+34, Private, 211051, Bachelors, 13, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+44, State-gov, 307468, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 50, United-States, >50K.
+46, Self-emp-not-inc, 27847, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, >50K.
+60, Private, 39263, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 3325, 0, 35, United-States, <=50K.
+46, Local-gov, 183610, Masters, 14, Separated, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+32, Self-emp-inc, 235847, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 52, United-States, <=50K.
+44, Local-gov, 32627, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 60, United-States, >50K.
+43, Private, 42026, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+48, Federal-gov, 72808, 11th, 7, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 42, United-States, <=50K.
+55, Private, 377113, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 15024, 0, 60, United-States, >50K.
+24, Private, 176389, Bachelors, 13, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+65, Private, 71075, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K.
+51, Self-emp-inc, 110327, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, >50K.
+42, State-gov, 392167, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K.
+36, Private, 130808, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+19, Private, 351757, 10th, 6, Never-married, Other-service, Unmarried, White, Male, 0, 0, 30, El-Salvador, <=50K.
+24, Self-emp-not-inc, 345420, 7th-8th, 4, Never-married, Farming-fishing, Other-relative, White, Male, 0, 0, 50, United-States, <=50K.
+52, Private, 220984, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+28, Private, 236834, 9th, 5, Never-married, Priv-house-serv, Not-in-family, White, Female, 0, 0, 35, Mexico, <=50K.
+42, Private, 153489, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+25, Private, 330850, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 70, United-States, <=50K.
+53, Private, 337195, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K.
+35, Private, 214816, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 36, United-States, <=50K.
+20, Private, 92863, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+38, Private, 226894, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, Black, Male, 13550, 0, 40, United-States, >50K.
+46, Private, 40666, Bachelors, 13, Divorced, Exec-managerial, Other-relative, White, Male, 0, 0, 40, United-States, <=50K.
+18, ?, 142043, 11th, 7, Never-married, ?, Other-relative, White, Male, 0, 0, 15, United-States, <=50K.
+58, Private, 105239, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, United-States, <=50K.
+41, Private, 112763, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 35, United-States, <=50K.
+66, Self-emp-not-inc, 219220, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 2653, 0, 40, United-States, <=50K.
+38, State-gov, 168223, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+29, Private, 175639, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 28, United-States, <=50K.
+39, Private, 167482, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+44, Local-gov, 178417, HS-grad, 9, Married-civ-spouse, Protective-serv, Own-child, White, Male, 0, 0, 40, United-States, >50K.
+26, Local-gov, 33604, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 25, United-States, <=50K.
+27, Private, 62082, Bachelors, 13, Never-married, Sales, Own-child, Other, Male, 0, 0, 38, United-States, <=50K.
+29, Private, 149902, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 80, United-States, <=50K.
+29, Private, 74784, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 70, United-States, <=50K.
+47, Self-emp-inc, 54260, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+62, ?, 119986, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 60, United-States, >50K.
+29, Local-gov, 165218, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K.
+52, Local-gov, 192853, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Other, Male, 0, 0, 40, Jamaica, >50K.
+27, Private, 56299, 11th, 7, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, United-States, <=50K.
+53, ?, 394690, Some-college, 10, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 5, United-States, <=50K.
+29, Private, 208406, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+62, Private, 165827, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+72, Private, 249559, HS-grad, 9, Widowed, Priv-house-serv, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K.
+27, Private, 151382, HS-grad, 9, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+38, Private, 161141, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K.
+27, Private, 57092, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+49, Private, 116927, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K.
+56, Private, 133876, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+52, Self-emp-inc, 229259, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+22, Private, 338162, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female, 0, 0, 40, United-States, <=50K.
+37, Federal-gov, 38948, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+55, Private, 169276, HS-grad, 9, Divorced, Machine-op-inspct, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K.
+38, State-gov, 364803, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 65, United-States, <=50K.
+45, Private, 302677, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 1340, 50, United-States, <=50K.
+35, Private, 235485, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+21, Private, 91189, Some-college, 10, Never-married, Sales, Unmarried, White, Male, 0, 0, 60, United-States, <=50K.
+54, Federal-gov, 149596, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 45, United-States, <=50K.
+19, Private, 89211, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+48, State-gov, 241854, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K.
+41, Private, 213351, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+20, Private, 74631, 9th, 5, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+56, Private, 128696, 11th, 7, Married-civ-spouse, Tech-support, Wife, Black, Female, 0, 0, 40, United-States, <=50K.
+49, Private, 141069, HS-grad, 9, Divorced, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K.
+17, ?, 347248, 10th, 6, Never-married, ?, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+45, Private, 176947, 7th-8th, 4, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+46, Private, 274200, HS-grad, 9, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+39, Private, 94036, HS-grad, 9, Divorced, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+52, ?, 188431, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+34, Local-gov, 176802, 11th, 7, Separated, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+65, ?, 258973, Some-college, 10, Widowed, ?, Not-in-family, White, Female, 401, 0, 14, United-States, <=50K.
+46, Private, 235646, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+41, Private, 175883, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+48, Private, 154430, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K.
+71, Private, 258126, 9th, 5, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 39, Cuba, <=50K.
+26, Federal-gov, 337575, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K.
+47, Self-emp-inc, 308241, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+21, ?, 162165, Some-college, 10, Never-married, ?, Not-in-family, White, Female, 0, 0, 43, United-States, <=50K.
+23, Private, 298623, HS-grad, 9, Never-married, Transport-moving, Own-child, Black, Male, 0, 0, 40, United-States, <=50K.
+65, Private, 270935, HS-grad, 9, Widowed, Craft-repair, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K.
+60, Private, 338833, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 38, United-States, <=50K.
+19, ?, 341631, HS-grad, 9, Never-married, ?, Other-relative, White, Female, 0, 0, 25, United-States, <=50K.
+35, Private, 233786, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+32, Private, 366876, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+36, State-gov, 183279, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 38, United-States, <=50K.
+41, Federal-gov, 29606, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, >50K.
+24, Local-gov, 137300, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K.
+45, Private, 184070, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, Black, Female, 0, 0, 40, United-States, <=50K.
+48, Private, 188610, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, >50K.
+20, Private, 41356, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K.
+51, Private, 145409, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, ?, >50K.
+24, ?, 287413, HS-grad, 9, Never-married, ?, Not-in-family, Black, Male, 0, 0, 60, United-States, <=50K.
+39, Local-gov, 100011, Assoc-acdm, 12, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K.
+21, Private, 119673, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K.
+49, Private, 140782, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 2415, 3, United-States, >50K.
+30, Private, 193246, HS-grad, 9, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+68, State-gov, 420526, Masters, 14, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 5, United-States, <=50K.
+30, Private, 34574, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+32, Self-emp-not-inc, 400061, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 15024, 0, 40, Philippines, >50K.
+49, Private, 107009, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, Portugal, <=50K.
+24, Private, 33551, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+34, Private, 121640, Some-college, 10, Divorced, Prof-specialty, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 44, United-States, <=50K.
+40, Private, 179524, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+23, ?, 473206, HS-grad, 9, Never-married, ?, Own-child, Black, Male, 0, 0, 32, United-States, <=50K.
+41, Private, 54422, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K.
+23, Private, 202416, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K.
+48, Private, 158685, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 16, United-States, <=50K.
+56, Self-emp-inc, 76534, HS-grad, 9, Married-civ-spouse, Exec-managerial, Other-relative, Asian-Pac-Islander, Female, 0, 0, 21, China, <=50K.
+42, State-gov, 218948, Doctorate, 16, Divorced, Prof-specialty, Unmarried, Black, Female, 0, 0, 36, Jamaica, <=50K.
+37, Self-emp-not-inc, 175120, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+32, Private, 100154, 9th, 5, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, El-Salvador, <=50K.
+29, Private, 160510, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, ?, >50K.
+58, Private, 223214, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, ?, >50K.
+40, Private, 79488, HS-grad, 9, Separated, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+40, Private, 136986, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 52, United-States, >50K.
+33, Private, 202339, 11th, 7, Never-married, Sales, Unmarried, White, Female, 0, 0, 34, United-States, <=50K.
+58, Private, 205737, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+32, Private, 80145, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+22, ?, 303579, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 1602, 8, United-States, <=50K.
+47, Private, 235108, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 5178, 0, 40, United-States, >50K.
+41, State-gov, 201363, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 38, United-States, >50K.
+41, Self-emp-inc, 244172, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, ?, >50K.
+73, ?, 99349, Bachelors, 13, Widowed, ?, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K.
+56, Federal-gov, 338242, Assoc-voc, 11, Widowed, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+83, ?, 29702, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 20, United-States, <=50K.
+22, Private, 146352, HS-grad, 9, Never-married, Sales, Unmarried, White, Female, 0, 0, 60, United-States, <=50K.
+30, Private, 215182, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+41, ?, 133456, Assoc-acdm, 12, Widowed, ?, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K.
+32, Private, 79586, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, >50K.
+27, Private, 181822, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+35, Private, 123809, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 15024, 0, 35, United-States, >50K.
+37, Private, 35429, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, White, Male, 1506, 0, 40, United-States, <=50K.
+48, Private, 151584, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 46, United-States, <=50K.
+42, Private, 303725, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+35, Private, 194404, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+20, Local-gov, 224229, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K.
+33, Private, 236396, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 55, United-States, >50K.
+25, Private, 40255, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 80, United-States, <=50K.
+29, State-gov, 214881, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, Honduras, >50K.
+47, Private, 332465, Some-college, 10, Divorced, Transport-moving, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+28, Private, 165218, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K.
+20, Private, 34506, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K.
+30, Local-gov, 79190, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+48, Self-emp-not-inc, 79001, Assoc-acdm, 12, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+22, Private, 137876, Some-college, 10, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K.
+57, Federal-gov, 40103, 10th, 6, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K.
+24, Self-emp-inc, 145964, Assoc-acdm, 12, Never-married, Sales, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K.
+32, Private, 268282, 7th-8th, 4, Married-spouse-absent, Farming-fishing, Other-relative, White, Male, 0, 0, 35, Mexico, <=50K.
+67, Local-gov, 272587, 7th-8th, 4, Widowed, Other-service, Not-in-family, White, Female, 1086, 0, 15, United-States, <=50K.
+22, Private, 220993, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+20, Private, 88676, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+29, Private, 185386, 5th-6th, 3, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 42, Mexico, <=50K.
+37, Private, 177420, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, >50K.
+20, ?, 203353, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+30, Private, 100734, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+32, State-gov, 181119, Bachelors, 13, Separated, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+23, ?, 172232, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+31, Private, 243678, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+39, Self-emp-inc, 170174, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K.
+48, Private, 102202, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 50, United-States, <=50K.
+38, Private, 249720, Assoc-voc, 11, Divorced, Prof-specialty, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+25, Private, 167835, Assoc-voc, 11, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 35, United-States, <=50K.
+22, Private, 266780, HS-grad, 9, Never-married, Other-service, Own-child, Black, Female, 0, 0, 24, United-States, <=50K.
+17, Private, 173740, 10th, 6, Never-married, Sales, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K.
+44, Private, 40024, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 52, United-States, >50K.
+28, Private, 193260, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 50, South, >50K.
+18, Private, 175752, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 30, United-States, <=50K.
+37, Private, 202662, 10th, 6, Divorced, Transport-moving, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+26, Private, 167350, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 35, United-States, <=50K.
+43, Private, 412379, Some-college, 10, Never-married, Other-service, Unmarried, White, Female, 0, 0, 28, United-States, <=50K.
+23, Self-emp-not-inc, 121568, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 1504, 40, United-States, <=50K.
+43, Private, 56651, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+45, Private, 238567, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 50, United-States, >50K.
+34, Private, 144949, HS-grad, 9, Divorced, Handlers-cleaners, Own-child, White, Male, 0, 0, 35, United-States, <=50K.
+42, Private, 234633, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K.
+22, Private, 147397, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 44, United-States, <=50K.
+38, Private, 247547, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+35, Private, 266645, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+39, Private, 154897, HS-grad, 9, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 50, United-States, <=50K.
+44, Private, 112507, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+45, Federal-gov, 110884, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 45, India, >50K.
+25, Private, 151588, Some-college, 10, Married-spouse-absent, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+54, Local-gov, 217210, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, Black, Female, 0, 1887, 38, United-States, >50K.
+22, ?, 185357, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 50, United-States, <=50K.
+47, Private, 139701, 5th-6th, 3, Never-married, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, Dominican-Republic, <=50K.
+36, Private, 50707, Bachelors, 13, Divorced, Priv-house-serv, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+48, Private, 370119, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 2415, 50, United-States, >50K.
+66, Self-emp-not-inc, 252842, HS-grad, 9, Never-married, Farming-fishing, Other-relative, White, Male, 0, 0, 20, United-States, <=50K.
+58, Private, 106707, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 48, United-States, <=50K.
+25, Private, 149486, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K.
+30, Private, 427541, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Black, Female, 99999, 0, 40, United-States, >50K.
+51, Self-emp-not-inc, 22154, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+30, Private, 144949, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Male, 0, 2559, 40, United-States, >50K.
+20, Private, 228686, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K.
+57, Self-emp-not-inc, 113010, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K.
+23, Federal-gov, 361278, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K.
+33, Self-emp-not-inc, 109509, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K.
+47, Private, 172155, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 37, Ecuador, >50K.
+54, Private, 204304, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+75, Private, 233362, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+36, Self-emp-inc, 141609, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K.
+51, Private, 179479, HS-grad, 9, Widowed, Exec-managerial, Not-in-family, White, Female, 3325, 0, 40, Yugoslavia, <=50K.
+32, Private, 193565, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+20, Private, 314539, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+20, Private, 208908, Some-college, 10, Never-married, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+41, Self-emp-not-inc, 375526, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K.
+31, Private, 291494, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+41, Private, 117747, Bachelors, 13, Divorced, Other-service, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, Vietnam, <=50K.
+56, Private, 331569, HS-grad, 9, Married-civ-spouse, Sales, Wife, Black, Female, 0, 0, 36, United-States, <=50K.
+46, Private, 146786, 10th, 6, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+59, Private, 147098, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+31, Private, 137076, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+20, Private, 223811, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 23, United-States, <=50K.
+69, Private, 172354, Assoc-voc, 11, Widowed, Adm-clerical, Not-in-family, White, Female, 1848, 0, 50, United-States, <=50K.
+35, Private, 154410, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 50, United-States, >50K.
+58, Private, 277203, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 38, United-States, <=50K.
+21, Private, 97295, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K.
+60, Private, 95680, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 45, United-States, >50K.
+29, Private, 328981, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+29, Self-emp-not-inc, 75435, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K.
+53, Private, 116288, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+43, Federal-gov, 136105, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 1848, 40, United-States, >50K.
+55, Local-gov, 134042, Masters, 14, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K.
+29, Private, 253003, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 2258, 45, United-States, >50K.
+37, Private, 193106, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K.
+37, Private, 117528, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+41, Private, 194537, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+57, Private, 195820, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K.
+41, Private, 265671, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+18, ?, 90636, Some-college, 10, Never-married, ?, Own-child, Amer-Indian-Eskimo, Female, 594, 0, 40, United-States, <=50K.
+57, Private, 166107, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female, 0, 0, 40, ?, <=50K.
+49, Federal-gov, 106207, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+61, Private, 187135, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 56, United-States, <=50K.
+44, Private, 231793, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 52, United-States, <=50K.
+20, ?, 228326, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 60, United-States, <=50K.
+36, Self-emp-not-inc, 125933, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 5178, 0, 50, United-States, >50K.
+29, Local-gov, 211032, Assoc-acdm, 12, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 72, United-States, >50K.
+51, Local-gov, 125796, 11th, 7, Never-married, Farming-fishing, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K.
+19, Private, 29526, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 32, United-States, <=50K.
+53, Private, 158993, 10th, 6, Separated, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+43, Private, 116379, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 60, China, >50K.
+42, Private, 201343, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 2885, 0, 40, United-States, <=50K.
+44, Private, 402718, 1st-4th, 2, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, Mexico, <=50K.
+37, Self-emp-inc, 98360, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+24, Self-emp-not-inc, 285580, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 25, United-States, <=50K.
+27, ?, 119851, Some-college, 10, Divorced, ?, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K.
+30, Private, 325509, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K.
+56, Private, 204745, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 3325, 0, 45, United-States, <=50K.
+58, Private, 152874, Some-college, 10, Widowed, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K.
+20, Private, 139715, HS-grad, 9, Never-married, Craft-repair, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+36, Private, 141584, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K.
+26, Private, 156848, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+42, Private, 40151, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+24, Private, 50648, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 45, United-States, <=50K.
+26, Private, 122920, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 56, United-States, <=50K.
+19, Local-gov, 91571, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 25, United-States, <=50K.
+21, Private, 227220, HS-grad, 9, Never-married, Other-service, Other-relative, White, Female, 0, 0, 33, United-States, <=50K.
+43, State-gov, 344519, Doctorate, 16, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K.
+20, Private, 133061, Some-college, 10, Never-married, Transport-moving, Other-relative, White, Male, 0, 0, 40, United-States, <=50K.
+47, Private, 219054, HS-grad, 9, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+62, Local-gov, 194276, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 40, United-States, >50K.
+46, Self-emp-inc, 168211, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 5013, 0, 60, United-States, <=50K.
+54, Local-gov, 220054, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 40, United-States, >50K.
+43, Self-emp-inc, 405601, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+34, Private, 240979, HS-grad, 9, Separated, Craft-repair, Unmarried, White, Male, 0, 0, 80, United-States, <=50K.
+47, Local-gov, 202606, Assoc-acdm, 12, Never-married, Exec-managerial, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K.
+58, Private, 220896, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+20, Private, 24274, HS-grad, 9, Never-married, Other-service, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 35, United-States, <=50K.
+26, Private, 263444, Assoc-voc, 11, Never-married, Tech-support, Not-in-family, White, Male, 14344, 0, 40, United-States, >50K.
+51, Local-gov, 99064, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, <=50K.
+53, Private, 203967, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1887, 40, United-States, >50K.
+53, State-gov, 94186, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Wife, Black, Female, 0, 0, 37, United-States, <=50K.
+68, ?, 110931, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K.
+46, Local-gov, 66934, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 45, United-States, <=50K.
+32, Self-emp-inc, 196385, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+42, Private, 47012, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+28, Private, 216013, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+67, Self-emp-not-inc, 98921, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+23, Private, 320294, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+27, Private, 247102, 10th, 6, Divorced, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+65, Private, 155632, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 25, United-States, <=50K.
+22, Self-emp-inc, 120753, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 50, United-States, <=50K.
+27, Private, 213921, Some-college, 10, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 30, Mexico, <=50K.
+30, Private, 94235, 11th, 7, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+44, Private, 84141, Bachelors, 13, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 65, United-States, <=50K.
+35, Private, 237943, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+27, Private, 225895, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+36, Local-gov, 126569, Bachelors, 13, Divorced, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+42, State-gov, 172307, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+32, Private, 111520, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 34, United-States, <=50K.
+53, Private, 283079, 1st-4th, 2, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+41, Private, 109969, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+65, Private, 146159, 7th-8th, 4, Widowed, Priv-house-serv, Not-in-family, Black, Female, 0, 1668, 31, United-States, <=50K.
+22, State-gov, 247319, Some-college, 10, Never-married, Other-service, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 60, United-States, <=50K.
+65, Local-gov, 200764, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 16, United-States, >50K.
+21, Private, 123868, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+28, Private, 137063, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 65, United-States, <=50K.
+24, Private, 112137, Bachelors, 13, Never-married, Sales, Own-child, Asian-Pac-Islander, Female, 0, 0, 50, South, <=50K.
+39, Private, 188069, Masters, 14, Married-civ-spouse, Tech-support, Husband, White, Male, 15024, 0, 50, United-States, >50K.
+52, Private, 102828, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+18, Private, 187221, HS-grad, 9, Never-married, Other-service, Other-relative, White, Female, 0, 0, 12, El-Salvador, <=50K.
+62, Private, 343982, 10th, 6, Widowed, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K.
+28, Self-emp-not-inc, 146949, 10th, 6, Never-married, Sales, Own-child, White, Male, 0, 0, 80, United-States, <=50K.
+41, Private, 150011, Bachelors, 13, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+28, Private, 107812, 9th, 5, Never-married, Transport-moving, Not-in-family, White, Male, 6849, 0, 35, United-States, <=50K.
+43, Private, 207392, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 3103, 0, 70, United-States, >50K.
+61, State-gov, 140851, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+26, Private, 216842, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 10, United-States, <=50K.
+34, Private, 112115, Bachelors, 13, Never-married, Exec-managerial, Other-relative, White, Male, 0, 0, 40, United-States, <=50K.
+21, Local-gov, 185279, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 20, United-States, <=50K.
+60, Private, 194980, HS-grad, 9, Separated, Adm-clerical, Unmarried, Black, Female, 0, 0, 20, United-States, <=50K.
+28, Private, 189530, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 35, United-States, <=50K.
+32, Self-emp-not-inc, 38158, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 7298, 0, 70, United-States, >50K.
+55, ?, 246219, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 2105, 0, 40, United-States, <=50K.
+51, Private, 143822, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+48, Private, 300851, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 56, United-States, <=50K.
+37, Private, 184874, HS-grad, 9, Divorced, Tech-support, Unmarried, White, Female, 1151, 0, 40, United-States, <=50K.
+40, Private, 83827, Some-college, 10, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 40, England, <=50K.
+44, Private, 112847, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K.
+27, Private, 581128, Some-college, 10, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 40, United-States, <=50K.
+55, Self-emp-not-inc, 202652, Assoc-voc, 11, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 30, United-States, <=50K.
+40, Private, 171888, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 24, United-States, >50K.
+30, Private, 45427, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K.
+36, Private, 185848, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+74, Private, 282553, 7th-8th, 4, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+34, Federal-gov, 153614, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+48, Private, 65353, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 42, United-States, <=50K.
+44, Private, 244172, 5th-6th, 3, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, Mexico, <=50K.
+48, Private, 148995, HS-grad, 9, Widowed, Exec-managerial, Not-in-family, White, Male, 14084, 0, 45, United-States, >50K.
+25, Private, 274228, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K.
+33, Private, 156383, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+49, Private, 47403, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, >50K.
+75, ?, 226593, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K.
+33, Self-emp-not-inc, 94041, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 1974, 30, United-States, <=50K.
+29, Private, 271710, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K.
+47, Federal-gov, 231797, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 55, United-States, >50K.
+33, Private, 188403, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 44, United-States, <=50K.
+65, Private, 444725, Prof-school, 15, Married-spouse-absent, Craft-repair, Not-in-family, White, Male, 0, 0, 48, Hungary, >50K.
+17, Private, 242605, 10th, 6, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 15, United-States, <=50K.
+58, Private, 244605, Bachelors, 13, Widowed, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, >50K.
+55, Private, 335276, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+37, Self-emp-not-inc, 284616, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 48, United-States, <=50K.
+60, Private, 162151, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+25, Private, 60358, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+34, Private, 151693, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+20, ?, 369907, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 20, United-States, <=50K.
+26, Private, 171636, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 72, United-States, <=50K.
+34, Private, 118901, HS-grad, 9, Separated, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+48, State-gov, 28419, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+34, Private, 608881, HS-grad, 9, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+31, Self-emp-inc, 112564, Some-college, 10, Never-married, Sales, Other-relative, White, Male, 0, 0, 40, ?, <=50K.
+25, Private, 171472, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 42, United-States, <=50K.
+20, Private, 236804, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 15, United-States, <=50K.
+38, Private, 212252, Prof-school, 15, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 50, United-States, >50K.
+69, Private, 119907, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+27, Local-gov, 352797, HS-grad, 9, Married-spouse-absent, Sales, Own-child, Black, Female, 0, 0, 40, United-States, <=50K.
+32, Private, 97281, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+65, Private, 154351, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, Black, Female, 2993, 0, 40, United-States, <=50K.
+22, Private, 117606, Bachelors, 13, Never-married, Sales, Own-child, White, Female, 0, 0, 8, United-States, <=50K.
+25, Private, 222089, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, Thailand, <=50K.
+40, Private, 199668, HS-grad, 9, Divorced, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K.
+29, Local-gov, 194869, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K.
+33, Private, 283268, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+60, Private, 170278, 5th-6th, 3, Widowed, Sales, Not-in-family, White, Female, 0, 0, 40, Italy, <=50K.
+28, Federal-gov, 90787, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+28, Private, 110749, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 39, United-States, <=50K.
+72, Self-emp-not-inc, 173864, 7th-8th, 4, Married-civ-spouse, Other-service, Husband, White, Male, 2290, 0, 45, United-States, <=50K.
+35, Private, 278442, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 7298, 0, 48, United-States, >50K.
+33, State-gov, 162705, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 99, United-States, >50K.
+36, Private, 326352, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+18, Private, 105854, HS-grad, 9, Never-married, Craft-repair, Other-relative, Other, Male, 0, 0, 32, United-States, <=50K.
+38, Self-emp-inc, 116608, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 20, United-States, >50K.
+48, Private, 182655, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+22, Private, 213834, Assoc-voc, 11, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+29, Private, 42881, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K.
+81, Self-emp-not-inc, 240414, Bachelors, 13, Widowed, Farming-fishing, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K.
+19, Private, 37688, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 25, United-States, <=50K.
+39, Self-emp-not-inc, 189922, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K.
+20, ?, 323309, HS-grad, 9, Never-married, ?, Own-child, Other, Male, 0, 0, 60, South, <=50K.
+41, Federal-gov, 341638, Assoc-acdm, 12, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 92, United-States, <=50K.
+50, Private, 114758, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+54, Private, 288557, HS-grad, 9, Widowed, Sales, Not-in-family, White, Female, 0, 0, 46, United-States, <=50K.
+18, ?, 191817, 11th, 7, Never-married, ?, Own-child, White, Male, 0, 0, 20, Mexico, <=50K.
+18, Private, 222851, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 10, United-States, <=50K.
+54, Private, 93605, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+47, Private, 263984, Some-college, 10, Married-spouse-absent, Exec-managerial, Not-in-family, Black, Male, 0, 0, 40, ?, <=50K.
+21, Private, 190916, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+22, Private, 384787, 9th, 5, Never-married, Sales, Other-relative, White, Female, 0, 0, 40, Mexico, <=50K.
+19, Local-gov, 43921, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+37, Private, 183739, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 8, United-States, >50K.
+37, Private, 490871, 11th, 7, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 25, United-States, <=50K.
+31, Private, 173473, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 45, United-States, >50K.
+31, Self-emp-not-inc, 24504, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 50, United-States, <=50K.
+60, Private, 113080, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+43, Private, 197093, Bachelors, 13, Never-married, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+65, Private, 56924, HS-grad, 9, Widowed, Priv-house-serv, Not-in-family, White, Female, 0, 0, 10, United-States, <=50K.
+33, Federal-gov, 207723, Masters, 14, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, ?, <=50K.
+32, Private, 327902, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+36, Private, 197860, HS-grad, 9, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 40, Haiti, <=50K.
+53, Private, 95647, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+50, Private, 98227, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+23, Private, 430151, 11th, 7, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 30, United-States, <=50K.
+60, Private, 73069, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K.
+32, Private, 101345, Masters, 14, Never-married, Prof-specialty, Own-child, White, Female, 0, 1741, 40, United-States, <=50K.
+36, Private, 196123, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 43, United-States, >50K.
+20, Private, 24008, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+39, Private, 67433, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+35, ?, 224466, HS-grad, 9, Never-married, ?, Other-relative, Black, Male, 0, 0, 24, United-States, <=50K.
+29, Private, 292120, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 30, United-States, <=50K.
+52, Private, 198362, Bachelors, 13, Never-married, Sales, Other-relative, White, Female, 0, 0, 25, United-States, <=50K.
+41, Private, 231507, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+28, Private, 216178, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+52, ?, 91447, Bachelors, 13, Widowed, ?, Not-in-family, White, Female, 0, 2205, 8, United-States, <=50K.
+40, Private, 232820, Assoc-voc, 11, Divorced, Exec-managerial, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K.
+40, Private, 53956, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+22, Private, 155913, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 18, United-States, <=50K.
+69, Private, 104827, HS-grad, 9, Widowed, Tech-support, Unmarried, White, Female, 0, 0, 8, United-States, <=50K.
+28, Private, 197222, Some-college, 10, Never-married, Tech-support, Own-child, White, Female, 0, 0, 38, United-States, <=50K.
+57, Private, 255406, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Female, 0, 1980, 44, United-States, <=50K.
+54, Federal-gov, 278076, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 5178, 0, 40, United-States, >50K.
+41, Local-gov, 231348, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+28, Private, 196286, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+39, Private, 76417, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+39, Self-emp-inc, 190964, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 3137, 0, 42, United-States, <=50K.
+57, Federal-gov, 239486, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 7688, 0, 45, United-States, >50K.
+18, Private, 101709, HS-grad, 9, Never-married, Sales, Own-child, Asian-Pac-Islander, Male, 0, 0, 15, United-States, <=50K.
+53, Private, 120914, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+44, Private, 60722, HS-grad, 9, Divorced, Sales, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K.
+28, Private, 257405, 5th-6th, 3, Never-married, Farming-fishing, Unmarried, Black, Male, 0, 0, 40, Mexico, <=50K.
+61, Private, 32209, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 2051, 40, United-States, <=50K.
+45, Private, 431245, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+52, Self-emp-not-inc, 95082, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+57, Private, 220986, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K.
+40, Private, 87771, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+72, Self-emp-inc, 199233, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2377, 35, United-States, >50K.
+23, Private, 133515, Bachelors, 13, Never-married, Sales, Unmarried, White, Female, 0, 0, 20, United-States, <=50K.
+46, Private, 117310, HS-grad, 9, Separated, Sales, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K.
+51, Private, 163027, HS-grad, 9, Divorced, Handlers-cleaners, Unmarried, White, Female, 0, 0, 20, United-States, <=50K.
+46, Private, 169711, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+43, Private, 91317, Assoc-acdm, 12, Never-married, Craft-repair, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+42, Private, 106159, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+53, Local-gov, 177063, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K.
+31, Private, 175059, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+35, Private, 129573, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 45, United-States, >50K.
+59, Private, 169611, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+38, Private, 247506, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+19, Private, 37085, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+25, Private, 202033, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+26, Private, 179864, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+51, State-gov, 88020, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+28, ?, 243190, Bachelors, 13, Never-married, ?, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 30, ?, <=50K.
+33, Private, 102270, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 30, United-States, <=50K.
+25, Private, 81286, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 2174, 0, 40, United-States, <=50K.
+23, ?, 205690, Assoc-voc, 11, Never-married, ?, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K.
+35, State-gov, 37314, Assoc-voc, 11, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+41, Private, 29213, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+43, Self-emp-not-inc, 451019, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 35, United-States, <=50K.
+49, Self-emp-inc, 125892, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+45, Private, 259412, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 50, United-States, >50K.
+49, Federal-gov, 207540, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K.
+38, Private, 110167, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+39, Private, 430336, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 7688, 0, 45, United-States, >50K.
+39, Self-emp-inc, 210610, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 31, Cuba, >50K.
+26, Private, 86483, 10th, 6, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+17, Private, 138507, 10th, 6, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 12, United-States, <=50K.
+26, Federal-gov, 345157, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+71, Local-gov, 161342, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 3, United-States, <=50K.
+27, Private, 159109, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 42, United-States, <=50K.
+34, Private, 54608, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+35, Local-gov, 433602, HS-grad, 9, Never-married, Sales, Own-child, Black, Male, 0, 0, 38, United-States, <=50K.
+36, Self-emp-not-inc, 350103, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+39, Private, 166193, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+41, Federal-gov, 56236, HS-grad, 9, Divorced, Protective-serv, Unmarried, Black, Male, 1506, 0, 40, United-States, <=50K.
+47, Private, 156926, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+36, Private, 26698, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+43, Self-emp-not-inc, 75993, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K.
+39, Private, 312271, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+35, Private, 70282, HS-grad, 9, Never-married, Exec-managerial, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+22, Private, 259109, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 18, United-States, <=50K.
+45, Private, 192360, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 50, United-States, >50K.
+33, Private, 373432, Some-college, 10, Separated, Craft-repair, Own-child, White, Male, 0, 0, 60, United-States, <=50K.
+21, Local-gov, 176998, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+37, Federal-gov, 32950, Assoc-acdm, 12, Divorced, Exec-managerial, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+30, Self-emp-not-inc, 48520, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 80, United-States, <=50K.
+47, State-gov, 237525, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+45, Private, 202746, Bachelors, 13, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+25, Private, 179255, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 25, United-States, <=50K.
+47, Self-emp-inc, 337825, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K.
+68, Self-emp-not-inc, 191517, Some-college, 10, Widowed, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+27, Private, 239130, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 2444, 40, United-States, >50K.
+42, Private, 233366, 5th-6th, 3, Married-civ-spouse, Craft-repair, Husband, Other, Male, 3103, 0, 40, Mexico, >50K.
+36, ?, 137492, HS-grad, 9, Divorced, ?, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+28, Private, 66893, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 1564, 50, United-States, >50K.
+61, Private, 266646, 5th-6th, 3, Married-civ-spouse, Transport-moving, Husband, Black, Male, 2290, 0, 40, United-States, <=50K.
+33, Private, 238246, HS-grad, 9, Separated, Other-service, Not-in-family, White, Female, 0, 0, 40, Germany, <=50K.
+23, Private, 215616, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K.
+40, Private, 148316, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+25, Private, 172402, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+45, Private, 195918, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+23, Private, 33016, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+30, Private, 267281, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+33, Federal-gov, 43608, Some-college, 10, Never-married, Exec-managerial, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K.
+21, Private, 57827, HS-grad, 9, Widowed, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+28, Private, 110145, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+42, Private, 162884, HS-grad, 9, Divorced, Priv-house-serv, Unmarried, White, Female, 0, 0, 60, Columbia, <=50K.
+43, State-gov, 145166, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 84, United-States, <=50K.
+50, Private, 193720, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 40, United-States, >50K.
+48, Private, 310639, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+49, Private, 196360, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 46, United-States, >50K.
+28, Private, 370675, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 1408, 50, Hong, <=50K.
+36, Private, 398931, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1902, 40, United-States, >50K.
+28, Local-gov, 104329, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+61, Self-emp-inc, 103575, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 40, United-States, >50K.
+25, State-gov, 222800, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+48, Private, 176239, 9th, 5, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+36, Private, 321274, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+46, Private, 192713, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, ?, <=50K.
+25, Private, 407714, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+36, ?, 247547, HS-grad, 9, Never-married, ?, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K.
+45, Private, 123219, 5th-6th, 3, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+18, Private, 165950, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 21, United-States, <=50K.
+28, Private, 182509, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K.
+39, Private, 27408, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 7298, 0, 50, United-States, >50K.
+33, Private, 110592, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K.
+28, State-gov, 175409, Some-college, 10, Separated, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+48, Private, 172822, Some-college, 10, Divorced, Craft-repair, Unmarried, White, Male, 15020, 0, 48, United-States, >50K.
+21, Private, 265361, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+26, State-gov, 106491, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+40, Private, 179557, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+63, Private, 187919, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 5013, 0, 45, United-States, <=50K.
+45, Private, 196707, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K.
+22, Private, 216129, Some-college, 10, Never-married, Tech-support, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+52, Self-emp-not-inc, 100480, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 44, United-States, <=50K.
+57, Self-emp-not-inc, 69905, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 15024, 0, 40, United-States, >50K.
+38, Private, 297767, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+46, Self-emp-not-inc, 214627, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1977, 45, United-States, >50K.
+52, Private, 251908, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 2547, 40, United-States, >50K.
+55, Self-emp-inc, 304695, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, <=50K.
+21, Private, 48121, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+30, Private, 125228, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+17, Private, 408012, 12th, 8, Never-married, Sales, Own-child, White, Female, 0, 0, 15, United-States, <=50K.
+57, Private, 161642, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K.
+30, Private, 181212, Some-college, 10, Never-married, Exec-managerial, Other-relative, White, Female, 0, 0, 40, United-States, <=50K.
+48, Self-emp-inc, 76482, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+24, Private, 295073, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 50, United-States, <=50K.
+45, ?, 69596, 10th, 6, Divorced, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+40, Private, 262461, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+34, Local-gov, 112680, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 20, United-States, <=50K.
+35, Private, 342642, Masters, 14, Married-spouse-absent, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+24, Private, 211968, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+47, Local-gov, 153536, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 37, United-States, >50K.
+21, Private, 188923, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K.
+30, Private, 391114, Assoc-acdm, 12, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+52, Private, 45599, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, ?, <=50K.
+37, Private, 119929, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 47, United-States, <=50K.
+24, Private, 130442, Assoc-voc, 11, Never-married, Sales, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K.
+41, Private, 192602, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+61, Private, 328881, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 40, United-States, >50K.
+37, Private, 165034, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 2002, 40, United-States, <=50K.
+39, Private, 93174, HS-grad, 9, Divorced, Transport-moving, Own-child, White, Male, 0, 0, 60, United-States, <=50K.
+28, Local-gov, 205903, Assoc-acdm, 12, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 45, United-States, >50K.
+24, Self-emp-inc, 197496, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 20, United-States, <=50K.
+29, Private, 226941, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, <=50K.
+61, Private, 199193, Assoc-acdm, 12, Divorced, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+38, Private, 187870, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+56, Private, 364899, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 65, United-States, >50K.
+28, Private, 437994, Some-college, 10, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 60, United-States, <=50K.
+24, Private, 166827, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K.
+35, Private, 207819, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K.
+31, Private, 37939, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 43, United-States, <=50K.
+39, Private, 77146, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K.
+35, ?, 29075, 11th, 7, Divorced, ?, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 6, United-States, <=50K.
+20, Private, 167868, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K.
+25, Private, 150132, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+23, Private, 365881, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K.
+37, Private, 105044, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+47, Private, 145636, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K.
+36, Private, 161547, Bachelors, 13, Never-married, Sales, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+34, Federal-gov, 77218, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+35, Self-emp-not-inc, 241126, HS-grad, 9, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 60, United-States, <=50K.
+85, Self-emp-inc, 155981, Bachelors, 13, Widowed, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, >50K.
+71, Self-emp-inc, 45741, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 20051, 0, 30, United-States, >50K.
+23, Private, 256356, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+39, State-gov, 105803, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 48, United-States, >50K.
+77, Self-emp-inc, 29702, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 35, United-States, >50K.
+20, Private, 107882, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+40, Private, 77572, Some-college, 10, Divorced, Sales, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K.
+34, Private, 209768, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 60, United-States, >50K.
+33, Private, 89360, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 5178, 0, 55, United-States, >50K.
+34, Self-emp-not-inc, 227540, Bachelors, 13, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 60, India, <=50K.
+36, Private, 292570, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 3325, 0, 40, United-States, <=50K.
+36, Private, 409189, 11th, 7, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+32, Local-gov, 194901, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2057, 70, United-States, <=50K.
+26, Local-gov, 219796, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 43, United-States, <=50K.
+37, State-gov, 117166, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, ?, <=50K.
+42, Private, 228320, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 5178, 0, 45, United-States, >50K.
+38, Private, 236391, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K.
+48, Private, 193451, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+23, Private, 223367, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+37, Private, 33001, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+38, Private, 173858, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 7688, 0, 35, China, >50K.
+33, Private, 240441, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+26, Private, 160264, 11th, 7, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K.
+25, Private, 230403, Bachelors, 13, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+61, Private, 154536, 10th, 6, Widowed, Craft-repair, Unmarried, Black, Female, 0, 2001, 40, United-States, <=50K.
+44, Self-emp-not-inc, 247024, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+65, Self-emp-inc, 410199, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 9386, 0, 35, United-States, >50K.
+23, Private, 191878, Some-college, 10, Never-married, Sales, Own-child, Black, Female, 0, 0, 38, ?, <=50K.
+67, State-gov, 54269, 10th, 6, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 12, United-States, <=50K.
+37, Private, 205997, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+48, Private, 47343, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 70, United-States, >50K.
+35, Federal-gov, 403489, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+48, Private, 232149, Bachelors, 13, Divorced, Tech-support, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+50, ?, 339547, Some-college, 10, Married-civ-spouse, ?, Husband, Asian-Pac-Islander, Male, 0, 0, 50, ?, <=50K.
+36, Private, 186819, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K.
+20, Private, 89991, Some-college, 10, Never-married, Sales, Other-relative, White, Female, 0, 0, 35, United-States, <=50K.
+32, Private, 112139, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 30, United-States, <=50K.
+18, Private, 244571, 11th, 7, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 10, United-States, <=50K.
+36, Private, 220696, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K.
+50, Private, 135102, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K.
+24, Private, 209417, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 7298, 0, 60, United-States, >50K.
+43, Private, 199689, Bachelors, 13, Married-spouse-absent, Sales, Unmarried, White, Female, 0, 0, 20, United-States, <=50K.
+27, Private, 240172, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+17, ?, 94492, 10th, 6, Never-married, ?, Own-child, White, Female, 0, 0, 30, United-States, <=50K.
+29, Private, 188564, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 45, United-States, >50K.
+19, Private, 264527, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 25, United-States, <=50K.
+38, Private, 189922, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K.
+64, Private, 182044, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+31, Self-emp-not-inc, 271173, Some-college, 10, Never-married, Craft-repair, Own-child, Black, Male, 4650, 0, 40, United-States, <=50K.
+30, Private, 203034, Assoc-voc, 11, Married-spouse-absent, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+30, Private, 100734, Bachelors, 13, Married-civ-spouse, Exec-managerial, Other-relative, White, Female, 0, 0, 40, Greece, >50K.
+33, Private, 169269, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 40, Puerto-Rico, >50K.
+59, Private, 24244, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+40, Private, 132222, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+27, Private, 199118, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 4865, 0, 40, United-States, <=50K.
+34, Private, 223212, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, Peru, <=50K.
+27, Private, 284859, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+23, Private, 112854, Some-college, 10, Never-married, Sales, Other-relative, White, Female, 0, 0, 35, United-States, <=50K.
+41, Federal-gov, 92968, Masters, 14, Never-married, Tech-support, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+36, Private, 181553, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, ?, <=50K.
+25, Private, 266668, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 20, United-States, <=50K.
+33, Private, 29144, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K.
+26, Self-emp-not-inc, 389856, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K.
+42, Private, 111589, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+25, Private, 232938, Some-college, 10, Never-married, Farming-fishing, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+45, Private, 103540, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 3103, 0, 40, United-States, >50K.
+59, Private, 249814, HS-grad, 9, Separated, Other-service, Not-in-family, White, Female, 0, 0, 37, United-States, <=50K.
+26, Private, 30776, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K.
+20, Private, 184779, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+53, Self-emp-not-inc, 93449, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, India, >50K.
+32, Local-gov, 178107, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+22, Private, 198956, HS-grad, 9, Never-married, Handlers-cleaners, Unmarried, Other, Male, 0, 0, 35, United-States, <=50K.
+53, Private, 130143, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+47, Private, 171807, Some-college, 10, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+21, ?, 436431, Preschool, 1, Married-civ-spouse, ?, Other-relative, White, Female, 0, 0, 40, Mexico, <=50K.
+17, Private, 162205, 10th, 6, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 15, United-States, <=50K.
+48, Private, 97470, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+32, Self-emp-not-inc, 158603, Assoc-voc, 11, Never-married, Sales, Unmarried, White, Female, 0, 0, 7, United-States, <=50K.
+58, Private, 348430, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+72, Private, 109385, 1st-4th, 2, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 36, United-States, <=50K.
+45, Private, 188998, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K.
+41, Private, 210591, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+66, Self-emp-not-inc, 37170, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 42, United-States, >50K.
+34, Private, 169583, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, >50K.
+33, Private, 180624, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+47, Private, 186311, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K.
+35, Private, 106471, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K.
+27, Private, 37302, Assoc-acdm, 12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+49, Private, 91608, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+36, Private, 263896, HS-grad, 9, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+25, Private, 335376, Assoc-acdm, 12, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 38, United-States, <=50K.
+38, Private, 186531, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+21, State-gov, 42706, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 30, United-States, <=50K.
+29, Private, 180115, HS-grad, 9, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K.
+42, Private, 191196, Assoc-acdm, 12, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+28, Private, 209109, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+26, Private, 199224, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K.
+65, State-gov, 42488, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 2653, 0, 8, United-States, <=50K.
+19, Self-emp-not-inc, 63574, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+22, Private, 227943, Some-college, 10, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+54, Private, 297551, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 40, United-States, >50K.
+46, Private, 343579, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 77, United-States, <=50K.
+34, Private, 230246, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 2202, 0, 99, United-States, <=50K.
+57, Self-emp-not-inc, 110199, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 20, United-States, <=50K.
+32, Private, 178691, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 45, United-States, <=50K.
+36, Self-emp-not-inc, 165855, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, Germany, <=50K.
+34, Private, 27565, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Wife, Amer-Indian-Eskimo, Female, 0, 0, 27, United-States, >50K.
+54, Private, 220115, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1628, 40, United-States, <=50K.
+34, Private, 113751, 11th, 7, Divorced, Sales, Own-child, Black, Female, 0, 0, 37, United-States, <=50K.
+72, Private, 128793, 5th-6th, 3, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 36, United-States, <=50K.
+23, Private, 97472, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+53, Private, 153064, 5th-6th, 3, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 10, Yugoslavia, >50K.
+57, Private, 190488, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+22, Local-gov, 326283, Some-college, 10, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Male, 0, 0, 20, United-States, <=50K.
+40, Private, 61287, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+31, Private, 214288, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+18, Private, 198856, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 32, United-States, <=50K.
+51, Federal-gov, 914061, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 44, United-States, >50K.
+24, Private, 186648, Assoc-acdm, 12, Never-married, Sales, Own-child, White, Male, 0, 0, 25, United-States, <=50K.
+49, Private, 350759, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K.
+76, ?, 197988, 5th-6th, 3, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 8, United-States, <=50K.
+37, Private, 188571, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+29, Private, 112776, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 45, United-States, <=50K.
+21, Private, 100345, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 53, United-States, <=50K.
+49, Private, 291783, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+69, ?, 156387, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+38, ?, 295166, HS-grad, 9, Married-civ-spouse, ?, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+44, Private, 132849, Masters, 14, Never-married, Craft-repair, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+31, Private, 300497, Some-college, 10, Divorced, Exec-managerial, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K.
+54, Private, 338089, Masters, 14, Separated, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+26, Private, 104257, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K.
+40, Private, 112247, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K.
+41, Federal-gov, 73070, Masters, 14, Never-married, Prof-specialty, Other-relative, White, Female, 0, 0, 40, United-States, <=50K.
+48, Self-emp-inc, 49298, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 50, United-States, >50K.
+51, Local-gov, 289390, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 40, United-States, >50K.
+36, Private, 219546, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K.
+35, Private, 194490, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+32, Private, 358655, Masters, 14, Divorced, Sales, Not-in-family, White, Female, 0, 0, 50, United-States, >50K.
+39, Private, 286026, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 52, United-States, <=50K.
+55, Private, 401473, Masters, 14, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, >50K.
+26, Private, 197967, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+46, Local-gov, 216647, 10th, 6, Divorced, Protective-serv, Unmarried, White, Female, 0, 0, 20, United-States, <=50K.
+70, Self-emp-not-inc, 355536, HS-grad, 9, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 24, United-States, <=50K.
+20, Private, 193130, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 30, United-States, <=50K.
+46, Self-emp-inc, 67725, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 10, United-States, <=50K.
+35, Private, 209629, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+20, Private, 143964, HS-grad, 9, Never-married, Other-service, Own-child, Black, Female, 0, 0, 40, United-States, <=50K.
+57, Self-emp-inc, 249072, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 60, United-States, >50K.
+64, ?, 285742, 10th, 6, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 50, United-States, >50K.
+63, Self-emp-not-inc, 130221, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K.
+21, Federal-gov, 201815, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 30, United-States, <=50K.
+43, Local-gov, 67243, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 45, United-States, >50K.
+35, Private, 202263, Assoc-acdm, 12, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K.
+21, Private, 122048, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 29, United-States, <=50K.
+23, Private, 231866, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 38, United-States, <=50K.
+35, Private, 211440, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+28, Private, 25955, Assoc-voc, 11, Never-married, Prof-specialty, Unmarried, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K.
+61, ?, 274499, HS-grad, 9, Married-civ-spouse, ?, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+45, Self-emp-not-inc, 305474, 10th, 6, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, Haiti, <=50K.
+73, Local-gov, 222702, 10th, 6, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 5, United-States, <=50K.
+33, State-gov, 120460, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+25, Private, 31657, Assoc-voc, 11, Separated, Other-service, Not-in-family, White, Female, 0, 0, 34, United-States, <=50K.
+19, Private, 327079, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+42, Private, 234633, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 47, United-States, <=50K.
+27, Private, 203776, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 45, United-States, >50K.
+24, Self-emp-inc, 242138, Bachelors, 13, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+19, Private, 276937, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K.
+36, Private, 117528, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 38, United-States, <=50K.
+41, Self-emp-not-inc, 171351, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K.
+43, Private, 138471, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+40, Local-gov, 329341, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 35, United-States, >50K.
+57, Private, 62539, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 1876, 38, United-States, <=50K.
+58, Private, 265579, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+22, Private, 218215, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 35, United-States, <=50K.
+39, Federal-gov, 116369, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 48, United-States, <=50K.
+24, Private, 403107, Preschool, 1, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K.
+29, State-gov, 103389, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Female, 4787, 0, 40, United-States, >50K.
+26, State-gov, 624006, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+27, Private, 344094, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+67, Self-emp-inc, 147377, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+49, Private, 90579, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 5013, 0, 50, United-States, <=50K.
+47, Private, 91972, HS-grad, 9, Married-civ-spouse, Priv-house-serv, Wife, White, Female, 0, 0, 35, United-States, >50K.
+59, Self-emp-not-inc, 275236, 11th, 7, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 70, United-States, >50K.
+23, Private, 340432, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+35, Private, 158592, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 3103, 0, 50, United-States, >50K.
+48, Private, 278303, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K.
+33, Self-emp-not-inc, 300681, 10th, 6, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 50, ?, <=50K.
+37, Private, 160192, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, White, Male, 6849, 0, 80, United-States, <=50K.
+29, Private, 148429, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+24, Private, 210474, Masters, 14, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+41, Private, 510072, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+21, Self-emp-not-inc, 328906, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 4865, 0, 35, United-States, <=50K.
+26, Private, 247196, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 35, United-States, <=50K.
+54, Private, 178839, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1848, 40, England, >50K.
+60, Private, 178764, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 25, United-States, <=50K.
+38, Private, 218490, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+19, Private, 44047, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+41, Local-gov, 125268, Bachelors, 13, Never-married, Prof-specialty, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+37, Local-gov, 76845, Masters, 14, Never-married, Prof-specialty, Not-in-family, Black, Male, 0, 0, 40, ?, <=50K.
+37, Local-gov, 484475, Bachelors, 13, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 60, United-States, <=50K.
+22, Private, 114357, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K.
+33, Private, 219619, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 40, United-States, >50K.
+22, ?, 33016, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+47, Local-gov, 319205, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+54, ?, 389182, HS-grad, 9, Divorced, ?, Not-in-family, White, Female, 0, 0, 60, Germany, <=50K.
+34, Private, 262118, Assoc-voc, 11, Never-married, Exec-managerial, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K.
+50, Private, 141340, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+35, Private, 189703, 9th, 5, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 32, United-States, <=50K.
+41, ?, 307589, Bachelors, 13, Married-civ-spouse, ?, Wife, Asian-Pac-Islander, Female, 0, 0, 5, Philippines, <=50K.
+29, Private, 116531, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+27, Private, 142621, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+44, Self-emp-inc, 327573, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+21, Private, 24896, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 35, United-States, <=50K.
+36, Private, 69251, HS-grad, 9, Married-civ-spouse, Other-service, Other-relative, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K.
+38, Private, 91716, 11th, 7, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+38, Private, 93717, Assoc-voc, 11, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K.
+38, Self-emp-not-inc, 111499, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K.
+41, ?, 193537, Assoc-acdm, 12, Divorced, ?, Unmarried, White, Female, 0, 0, 10, Dominican-Republic, <=50K.
+24, Private, 307267, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+52, Private, 249196, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K.
+64, ?, 201700, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+52, Private, 188644, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 30, Mexico, <=50K.
+32, Private, 255004, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+34, Private, 100145, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 20, United-States, <=50K.
+18, Private, 183274, 11th, 7, Never-married, Other-service, Own-child, White, Female, 594, 0, 30, United-States, <=50K.
+45, Self-emp-not-inc, 44671, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+24, Private, 354351, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+43, Private, 346189, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+49, Private, 304864, Some-college, 10, Divorced, Tech-support, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K.
+68, Self-emp-inc, 505365, Bachelors, 13, Separated, Sales, Unmarried, White, Male, 0, 0, 70, Canada, <=50K.
+18, State-gov, 268520, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+27, State-gov, 210295, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+18, Private, 103339, 10th, 6, Never-married, Sales, Own-child, White, Female, 0, 1719, 16, United-States, <=50K.
+33, Private, 145437, Some-college, 10, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+48, Private, 56071, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+34, Private, 233729, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 50, United-States, >50K.
+41, Private, 265932, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 45, United-States, <=50K.
+74, Private, 154347, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 10, United-States, <=50K.
+40, Private, 277507, HS-grad, 9, Married-spouse-absent, Handlers-cleaners, Not-in-family, White, Male, 0, 1669, 40, United-States, <=50K.
+53, Federal-gov, 172898, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K.
+47, Private, 182655, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 52, United-States, >50K.
+20, ?, 175431, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+30, Private, 181460, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 37, United-States, <=50K.
+38, Private, 149771, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 3325, 0, 40, United-States, <=50K.
+44, Private, 45363, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 44, United-States, >50K.
+48, Private, 180010, Some-college, 10, Separated, Craft-repair, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+36, ?, 103886, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 15, United-States, <=50K.
+20, Private, 233198, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+47, Federal-gov, 124974, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K.
+61, ?, 29059, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 12, United-States, <=50K.
+34, Private, 136331, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+43, Private, 106900, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+25, Self-emp-not-inc, 314464, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+51, State-gov, 152810, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K.
+50, State-gov, 76728, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 39, United-States, <=50K.
+42, Private, 55854, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+17, Private, 36801, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 0, 18, United-States, <=50K.
+51, ?, 243631, HS-grad, 9, Married-civ-spouse, ?, Husband, Asian-Pac-Islander, Male, 2105, 0, 20, South, <=50K.
+46, Local-gov, 155654, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+51, Private, 173987, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 48, United-States, >50K.
+18, Private, 115725, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 12, United-States, <=50K.
+21, Private, 154556, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 15, ?, <=50K.
+33, Self-emp-not-inc, 234976, Bachelors, 13, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, >50K.
+27, Private, 122913, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+36, Local-gov, 187411, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, >50K.
+31, Private, 193285, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+27, ?, 96219, HS-grad, 9, Separated, ?, Unmarried, White, Female, 0, 0, 50, United-States, <=50K.
+20, Private, 117767, Some-college, 10, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+45, Self-emp-inc, 81534, HS-grad, 9, Never-married, Sales, Unmarried, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K.
+22, Private, 202125, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+40, Local-gov, 225660, Bachelors, 13, Never-married, Protective-serv, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+25, State-gov, 203279, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 20, India, <=50K.
+40, Self-emp-not-inc, 151960, Some-college, 10, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 38, United-States, <=50K.
+48, Private, 368561, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1902, 37, United-States, >50K.
+30, Private, 202046, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K.
+61, Private, 197286, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K.
+49, Self-emp-not-inc, 285570, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+22, Private, 380899, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+19, Private, 325217, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 32, United-States, <=50K.
+26, Private, 111058, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 50, United-States, <=50K.
+27, State-gov, 162312, Some-college, 10, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 50, South, <=50K.
+41, Self-emp-inc, 136986, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+33, Federal-gov, 97654, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+56, Private, 229116, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 32, United-States, <=50K.
+43, Private, 159549, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 40, United-States, >50K.
+29, Private, 195760, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 35, United-States, <=50K.
+44, Self-emp-inc, 277788, 11th, 7, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, Portugal, >50K.
+37, State-gov, 120201, Some-college, 10, Divorced, Adm-clerical, Own-child, Other, Female, 0, 0, 40, United-States, <=50K.
+24, Private, 236601, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 2339, 43, United-States, <=50K.
+65, ?, 94809, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+38, Private, 219757, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+35, Local-gov, 160728, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K.
+39, Private, 308945, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 50, United-States, <=50K.
+47, Self-emp-not-inc, 185859, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 3103, 0, 60, United-States, >50K.
+47, ?, 163748, Masters, 14, Divorced, ?, Unmarried, White, Female, 0, 0, 35, ?, <=50K.
+51, State-gov, 48358, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 3103, 0, 52, United-States, >50K.
+38, Federal-gov, 77792, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 56, United-States, <=50K.
+44, Private, 114753, Some-college, 10, Widowed, Tech-support, Unmarried, White, Female, 0, 0, 38, United-States, <=50K.
+24, Private, 234259, HS-grad, 9, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K.
+41, Private, 152617, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+51, Private, 204567, Assoc-voc, 11, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 45, United-States, <=50K.
+60, Self-emp-not-inc, 145209, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+40, Private, 240698, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+72, ?, 195181, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 32, United-States, <=50K.
+27, Private, 299536, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 55, United-States, <=50K.
+36, Private, 238802, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, >50K.
+44, Private, 150519, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+33, State-gov, 237903, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+53, Self-emp-not-inc, 257940, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+43, Private, 383670, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1902, 40, United-States, >50K.
+44, Private, 179666, Assoc-acdm, 12, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+35, Private, 259727, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K.
+52, Federal-gov, 277772, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+51, Self-emp-not-inc, 67198, Assoc-acdm, 12, Widowed, Prof-specialty, Unmarried, White, Female, 0, 0, 50, United-States, <=50K.
+41, Private, 22419, 9th, 5, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male, 0, 0, 84, United-States, <=50K.
+42, Private, 99373, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+54, Federal-gov, 147629, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 35, United-States, >50K.
+31, Self-emp-not-inc, 145714, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, <=50K.
+30, Private, 49358, 12th, 8, Never-married, Sales, Own-child, Black, Female, 0, 0, 40, United-States, <=50K.
+21, Private, 214956, Some-college, 10, Never-married, Tech-support, Own-child, White, Male, 0, 0, 30, United-States, <=50K.
+29, Private, 66172, Some-college, 10, Separated, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+37, Local-gov, 136749, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 35, United-States, <=50K.
+27, ?, 258231, HS-grad, 9, Never-married, ?, Not-in-family, White, Male, 0, 0, 35, ?, <=50K.
+19, Private, 43937, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 12, United-States, <=50K.
+33, Self-emp-not-inc, 114639, 11th, 7, Never-married, Farming-fishing, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+72, Self-emp-not-inc, 104090, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, Scotland, <=50K.
+21, Private, 137510, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 20, Germany, <=50K.
+23, Private, 123586, Some-college, 10, Never-married, Adm-clerical, Own-child, Other, Male, 0, 0, 25, United-States, <=50K.
+45, Private, 293628, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, Philippines, >50K.
+37, Federal-gov, 239409, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, >50K.
+37, Self-emp-inc, 593246, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 50, United-States, >50K.
+36, Private, 30269, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 7298, 0, 32, United-States, >50K.
+31, Private, 48456, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+63, Private, 153894, Assoc-voc, 11, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 24, Puerto-Rico, <=50K.
+24, Private, 182117, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 28, United-States, <=50K.
+29, Private, 231148, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K.
+53, Private, 184176, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+40, Self-emp-not-inc, 29702, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 85, United-States, <=50K.
+40, Private, 276759, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 60, United-States, >50K.
+36, Private, 179731, HS-grad, 9, Never-married, Priv-house-serv, Other-relative, White, Female, 0, 0, 20, ?, <=50K.
+64, Private, 234570, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+33, Private, 143485, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+20, Private, 143062, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+47, Private, 146516, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Wife, White, Female, 0, 0, 48, United-States, <=50K.
+19, ?, 180395, Some-college, 10, Never-married, ?, Own-child, Asian-Pac-Islander, Female, 0, 0, 36, United-States, <=50K.
+32, Private, 108256, 12th, 8, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, >50K.
+25, Private, 211392, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K.
+26, Federal-gov, 271243, 12th, 8, Never-married, Adm-clerical, Not-in-family, Black, Male, 0, 0, 40, Haiti, <=50K.
+25, Local-gov, 197822, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+40, Self-emp-not-inc, 167678, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Dominican-Republic, >50K.
+30, Private, 30101, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+46, Local-gov, 232220, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, >50K.
+29, ?, 212588, Bachelors, 13, Never-married, ?, Not-in-family, White, Male, 0, 0, 53, United-States, <=50K.
+35, Private, 306156, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+30, Self-emp-not-inc, 70985, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 75, United-States, <=50K.
+58, Private, 185459, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+17, Private, 91141, 10th, 6, Never-married, Sales, Own-child, White, Male, 0, 0, 8, United-States, <=50K.
+42, Private, 347653, Bachelors, 13, Divorced, Other-service, Unmarried, White, Male, 0, 0, 60, United-States, <=50K.
+31, Private, 189759, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+46, Private, 272792, Bachelors, 13, Divorced, Craft-repair, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K.
+27, ?, 95708, 11th, 7, Divorced, ?, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K.
+71, ?, 111712, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 16, United-States, <=50K.
+32, Private, 132767, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K.
+62, Self-emp-not-inc, 162245, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, <=50K.
+78, Self-emp-not-inc, 152148, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 20, United-States, <=50K.
+54, ?, 186565, Masters, 14, Divorced, ?, Not-in-family, White, Male, 0, 0, 1, United-States, <=50K.
+22, Private, 193385, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K.
+31, Private, 185778, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K.
+32, Private, 162370, Masters, 14, Separated, Prof-specialty, Not-in-family, White, Female, 0, 0, 35, Iran, <=50K.
+38, Private, 340763, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, Black, Male, 0, 2339, 47, United-States, <=50K.
+77, Private, 148949, 10th, 6, Married-civ-spouse, Other-service, Husband, Black, Male, 3818, 0, 30, United-States, <=50K.
+62, Self-emp-not-inc, 147393, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, >50K.
+33, Local-gov, 187203, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+40, Local-gov, 147206, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K.
+65, Private, 228182, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+31, Private, 177426, Bachelors, 13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Mexico, <=50K.
+32, ?, 161288, 9th, 5, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+32, Private, 133530, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female, 0, 0, 20, United-States, <=50K.
+45, Private, 117849, 11th, 7, Married-civ-spouse, Transport-moving, Other-relative, White, Male, 0, 0, 40, United-States, <=50K.
+70, Private, 132670, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 9386, 0, 4, United-States, >50K.
+38, Self-emp-inc, 98360, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K.
+37, Private, 226500, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+30, Private, 35644, Assoc-voc, 11, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K.
+34, Private, 49325, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+19, Private, 142738, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 14084, 0, 20, United-States, >50K.
+54, Self-emp-not-inc, 207841, HS-grad, 9, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K.
+32, Private, 269355, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 5178, 0, 50, United-States, >50K.
+32, Self-emp-inc, 190290, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+24, Private, 209034, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K.
+35, Private, 174571, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+28, Private, 198583, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 35, United-States, <=50K.
+28, Private, 128055, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+41, Private, 319271, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+38, Private, 91857, HS-grad, 9, Divorced, Other-service, Other-relative, White, Male, 0, 0, 40, United-States, <=50K.
+21, Private, 376416, Some-college, 10, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+31, Local-gov, 323829, HS-grad, 9, Divorced, Protective-serv, Other-relative, White, Male, 0, 0, 45, United-States, <=50K.
+22, Private, 209646, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 6, United-States, <=50K.
+28, State-gov, 90872, Some-college, 10, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K.
+52, Private, 287454, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, >50K.
+23, Private, 208946, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+37, Local-gov, 130805, Assoc-acdm, 12, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 99, United-States, >50K.
+23, Private, 247090, 9th, 5, Married-civ-spouse, Craft-repair, Husband, Other, Male, 0, 0, 55, United-States, <=50K.
+21, Private, 249150, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 24, United-States, <=50K.
+57, Private, 187138, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+35, Private, 166497, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 60, United-States, >50K.
+50, Private, 155433, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K.
+45, State-gov, 164593, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, ?, <=50K.
+37, Private, 211168, Some-college, 10, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 35, United-States, <=50K.
+24, Self-emp-not-inc, 162688, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+58, Local-gov, 185072, Bachelors, 13, Separated, Prof-specialty, Unmarried, Black, Female, 0, 0, 40, Jamaica, >50K.
+50, Private, 154153, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+58, Self-emp-not-inc, 166258, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+31, Self-emp-not-inc, 190650, Masters, 14, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 40, ?, <=50K.
+60, State-gov, 165792, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 8, United-States, <=50K.
+61, Private, 313170, HS-grad, 9, Widowed, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+37, Private, 188279, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Thailand, <=50K.
+27, Self-emp-not-inc, 209301, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+37, Private, 194820, HS-grad, 9, Separated, Craft-repair, Unmarried, White, Female, 0, 0, 42, United-States, <=50K.
+36, Private, 171393, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 40, United-States, >50K.
+31, Private, 268282, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Other-relative, White, Male, 0, 0, 35, Mexico, <=50K.
+23, Private, 219519, Some-college, 10, Never-married, Sales, Not-in-family, Black, Female, 0, 0, 30, United-States, <=50K.
+44, State-gov, 369131, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K.
+21, Private, 195571, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 25, United-States, <=50K.
+57, Private, 114686, Assoc-voc, 11, Divorced, Tech-support, Not-in-family, White, Female, 2202, 0, 44, United-States, <=50K.
+24, Private, 356861, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+26, Private, 156848, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+66, Private, 147766, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+60, Local-gov, 134768, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+52, Self-emp-not-inc, 156882, Some-college, 10, Married-civ-spouse, Sales, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K.
+21, Private, 131404, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 30, United-States, <=50K.
+32, Self-emp-inc, 233727, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 60, United-States, >50K.
+21, ?, 216867, Some-college, 10, Never-married, ?, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K.
+48, Private, 168556, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 55, United-States, <=50K.
+63, Private, 60459, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 37, United-States, <=50K.
+42, Private, 212894, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 23, United-States, >50K.
+17, Private, 41865, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 5, United-States, <=50K.
+30, Private, 175413, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Black, Female, 0, 0, 35, United-States, <=50K.
+33, Private, 149902, Some-college, 10, Divorced, Exec-managerial, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+55, Private, 180497, Assoc-acdm, 12, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 52, United-States, <=50K.
+39, Self-emp-not-inc, 107302, Bachelors, 13, Married-civ-spouse, Craft-repair, Other-relative, White, Male, 0, 0, 35, United-States, >50K.
+33, Private, 93283, Bachelors, 13, Never-married, Prof-specialty, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+34, Self-emp-not-inc, 264351, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, Mexico, <=50K.
+59, State-gov, 136819, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 8, United-States, >50K.
+32, Self-emp-not-inc, 295010, Some-college, 10, Separated, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+62, Private, 291904, HS-grad, 9, Divorced, Priv-house-serv, Not-in-family, Black, Female, 0, 0, 20, United-States, <=50K.
+21, Self-emp-inc, 225442, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+57, State-gov, 170108, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 40, United-States, >50K.
+19, Private, 193859, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 2176, 0, 35, Germany, <=50K.
+38, Local-gov, 326701, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, Other, Male, 0, 0, 40, United-States, >50K.
+38, State-gov, 196373, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K.
+20, Private, 258730, HS-grad, 9, Never-married, Priv-house-serv, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+24, Private, 190293, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+39, Local-gov, 170263, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 30, United-States, >50K.
+24, Private, 300275, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+28, State-gov, 255254, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, Black, Female, 0, 0, 37, United-States, <=50K.
+51, Private, 166461, 11th, 7, Divorced, Machine-op-inspct, Unmarried, Black, Female, 5455, 0, 40, United-States, <=50K.
+27, Private, 96219, HS-grad, 9, Divorced, Other-service, Own-child, White, Female, 3418, 0, 32, United-States, <=50K.
+38, Self-emp-inc, 186845, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+24, Private, 99697, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+42, Private, 143069, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, >50K.
+53, Private, 117674, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 40, United-States, >50K.
+35, Private, 261504, HS-grad, 9, Married-spouse-absent, Transport-moving, Other-relative, White, Female, 0, 0, 40, Dominican-Republic, <=50K.
+37, Private, 29660, Assoc-acdm, 12, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+45, Private, 202560, Assoc-acdm, 12, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, >50K.
+27, Private, 178713, 11th, 7, Never-married, Sales, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K.
+34, Private, 100734, HS-grad, 9, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+24, Private, 112009, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 35, United-States, <=50K.
+69, Private, 144056, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+47, Private, 70209, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+19, Private, 143816, Some-college, 10, Never-married, Machine-op-inspct, Other-relative, Black, Male, 0, 0, 30, United-States, <=50K.
+23, ?, 164732, Some-college, 10, Never-married, ?, Not-in-family, White, Male, 0, 0, 10, United-States, <=50K.
+30, State-gov, 714597, Some-college, 10, Never-married, Protective-serv, Not-in-family, Black, Male, 0, 0, 45, United-States, <=50K.
+71, Private, 187703, Assoc-voc, 11, Widowed, Prof-specialty, Unmarried, White, Female, 11678, 0, 38, United-States, >50K.
+53, Private, 418901, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Other, Male, 0, 0, 40, Mexico, <=50K.
+22, Private, 169188, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+47, Private, 70554, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, >50K.
+28, Private, 31801, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1887, 50, United-States, >50K.
+25, Self-emp-not-inc, 195000, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+38, Private, 215392, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Wife, White, Female, 7298, 0, 45, United-States, >50K.
+33, Private, 97723, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+41, Private, 121012, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+19, Private, 218956, 12th, 8, Never-married, Machine-op-inspct, Other-relative, White, Male, 0, 0, 40, United-States, <=50K.
+41, Self-emp-not-inc, 171003, 7th-8th, 4, Never-married, Other-service, Unmarried, White, Female, 0, 0, 30, United-States, <=50K.
+20, Self-emp-inc, 154782, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 20, United-States, <=50K.
+27, ?, 132372, HS-grad, 9, Never-married, ?, Unmarried, White, Female, 0, 0, 40, ?, <=50K.
+18, ?, 151404, 11th, 7, Never-married, ?, Own-child, White, Female, 0, 0, 15, United-States, <=50K.
+53, Private, 816750, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 72, United-States, >50K.
+67, Private, 92943, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 21, United-States, <=50K.
+47, ?, 104489, 10th, 6, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+55, Self-emp-not-inc, 218456, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, Hungary, <=50K.
+39, Private, 301614, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+36, Private, 307134, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 42, United-States, <=50K.
+37, State-gov, 106347, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K.
+36, Private, 127961, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+32, Self-emp-inc, 206297, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K.
+20, Private, 171156, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K.
+31, Private, 104729, 1st-4th, 2, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 35, Mexico, <=50K.
+47, Private, 85109, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 13550, 0, 45, United-States, >50K.
+25, Private, 199143, HS-grad, 9, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+24, Private, 110371, HS-grad, 9, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+33, Private, 250782, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+45, Private, 281574, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 6849, 0, 43, United-States, <=50K.
+28, Private, 147889, 10th, 6, Married-AF-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+36, Private, 298753, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K.
+55, Private, 248841, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, >50K.
+51, Self-emp-inc, 274948, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+22, Private, 41763, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 42, United-States, <=50K.
+27, ?, 176683, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 1719, 40, United-States, <=50K.
+37, Private, 385251, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+23, Private, 145964, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K.
+61, Private, 33460, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+46, State-gov, 121586, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+35, Federal-gov, 112008, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, Germany, <=50K.
+24, Private, 163053, 11th, 7, Never-married, Sales, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K.
+21, ?, 34446, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 35, United-States, <=50K.
+33, Self-emp-not-inc, 147201, Bachelors, 13, Separated, Prof-specialty, Own-child, Black, Male, 0, 0, 35, United-States, <=50K.
+60, Private, 491214, HS-grad, 9, Widowed, Sales, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K.
+36, Private, 102729, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 45, United-States, >50K.
+37, ?, 70282, HS-grad, 9, Never-married, ?, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K.
+48, Self-emp-inc, 216214, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 3103, 0, 40, United-States, >50K.
+43, Private, 212206, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K.
+53, Local-gov, 235567, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+31, Private, 356410, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 99999, 0, 40, United-States, >50K.
+26, Private, 223558, HS-grad, 9, Never-married, Tech-support, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K.
+63, Federal-gov, 160473, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+51, Private, 150999, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 40, United-States, >50K.
+41, Private, 230961, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+71, Private, 169114, Some-college, 10, Widowed, Prof-specialty, Not-in-family, White, Male, 0, 1429, 40, United-States, <=50K.
+39, Private, 301070, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 70, United-States, >50K.
+23, Private, 163687, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+35, Private, 180419, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+18, Private, 114828, 12th, 8, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 4, United-States, <=50K.
+44, Private, 208606, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K.
+19, Private, 165977, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K.
+28, Private, 110408, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+41, Private, 266047, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+52, Private, 176124, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K.
+27, Private, 144063, 10th, 6, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 75, United-States, <=50K.
+29, Self-emp-inc, 446724, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 35, United-States, <=50K.
+59, Private, 357118, Bachelors, 13, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+47, Self-emp-not-inc, 102388, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 60, United-States, <=50K.
+27, Private, 191515, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+31, Private, 94413, HS-grad, 9, Divorced, Craft-repair, Other-relative, White, Male, 3325, 0, 40, United-States, <=50K.
+42, Federal-gov, 32627, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 45, United-States, >50K.
+37, Private, 218249, 11th, 7, Separated, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+38, Private, 308798, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+24, Private, 199005, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 25, United-States, <=50K.
+29, State-gov, 108432, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+47, Self-emp-not-inc, 149218, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K.
+26, Private, 552529, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female, 0, 0, 40, United-States, <=50K.
+43, Private, 222596, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, Poland, >50K.
+31, Private, 168961, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K.
+37, Private, 206951, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+41, Private, 386236, 5th-6th, 3, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 30, Mexico, <=50K.
+20, Private, 196388, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 25, United-States, <=50K.
+32, Private, 162675, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 35, Cuba, <=50K.
+38, Private, 187847, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+39, Private, 186934, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 38, United-States, <=50K.
+75, ?, 27663, 7th-8th, 4, Separated, ?, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+27, Private, 180271, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 43, United-States, <=50K.
+35, Private, 215503, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, Canada, <=50K.
+40, Private, 110862, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K.
+28, Private, 197905, Some-college, 10, Widowed, Craft-repair, Own-child, White, Male, 0, 0, 60, United-States, <=50K.
+25, Private, 355124, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 2001, 40, Mexico, <=50K.
+29, Self-emp-not-inc, 109621, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+50, Private, 194995, Assoc-voc, 11, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+42, Private, 137136, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, Black, Male, 0, 0, 55, United-States, <=50K.
+47, Private, 67229, 11th, 7, Divorced, Transport-moving, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K.
+44, Private, 197033, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+27, Local-gov, 187746, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 3325, 0, 25, United-States, <=50K.
+40, Private, 98211, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+25, Private, 54298, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 30, United-States, <=50K.
+48, Self-emp-not-inc, 49275, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 1485, 50, United-States, <=50K.
+22, Private, 237386, Assoc-voc, 11, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+40, Private, 67243, Some-college, 10, Divorced, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+46, Private, 168191, HS-grad, 9, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 2, Italy, <=50K.
+25, Private, 132327, Some-college, 10, Separated, Adm-clerical, Other-relative, Other, Female, 0, 0, 40, Ecuador, <=50K.
+17, Private, 175109, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 25, United-States, <=50K.
+61, State-gov, 224638, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+23, Private, 128487, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K.
+30, Private, 179747, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K.
+46, Private, 195416, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Black, Female, 0, 0, 44, United-States, >50K.
+37, Private, 176949, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+31, Private, 114691, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K.
+27, State-gov, 122540, Some-college, 10, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K.
+36, Private, 93461, HS-grad, 9, Married-civ-spouse, Craft-repair, Wife, White, Female, 0, 0, 30, United-States, <=50K.
+45, Private, 54098, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K.
+22, Private, 333838, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+34, Private, 174789, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K.
+70, Private, 227515, 10th, 6, Widowed, Transport-moving, Unmarried, White, Female, 0, 0, 40, Greece, <=50K.
+45, Federal-gov, 391585, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 7688, 0, 50, United-States, >50K.
+23, Private, 83315, 10th, 6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 10, United-States, <=50K.
+22, Private, 213310, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 35, United-States, <=50K.
+47, Private, 127303, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+29, Private, 255476, 5th-6th, 3, Never-married, Other-service, Other-relative, White, Male, 0, 0, 35, Mexico, <=50K.
+40, Private, 320451, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male, 0, 0, 40, ?, >50K.
+33, Private, 454717, Some-college, 10, Separated, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+23, Private, 374474, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 35, United-States, <=50K.
+19, Private, 78401, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+58, Private, 168887, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K.
+55, Private, 254711, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 20, United-States, >50K.
+23, Private, 196678, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+53, Private, 217201, HS-grad, 9, Married-civ-spouse, Craft-repair, Wife, White, Female, 0, 0, 45, United-States, >50K.
+24, Private, 160398, 12th, 8, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 30, United-States, <=50K.
+43, Private, 288829, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 1902, 42, United-States, >50K.
+20, Private, 185706, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K.
+22, Private, 201615, Assoc-acdm, 12, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 37, United-States, <=50K.
+48, Private, 157092, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+45, Private, 130561, 11th, 7, Never-married, Sales, Not-in-family, Black, Female, 0, 0, 35, United-States, <=50K.
+33, Private, 202450, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+32, Private, 303942, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+44, Local-gov, 339346, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 10520, 0, 60, United-States, >50K.
+21, ?, 234838, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 30, United-States, <=50K.
+42, Private, 38389, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K.
+35, Private, 147548, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+62, Self-emp-not-inc, 116626, Doctorate, 16, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, >50K.
+46, Local-gov, 110110, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 65, United-States, >50K.
+44, Private, 230478, Assoc-acdm, 12, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, United-States, >50K.
+28, Private, 398220, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K.
+38, Self-emp-not-inc, 187346, Assoc-acdm, 12, Divorced, Other-service, Unmarried, White, Female, 0, 0, 20, United-States, <=50K.
+59, Self-emp-not-inc, 175827, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+37, Private, 211494, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 1980, 55, United-States, <=50K.
+59, Private, 105745, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, >50K.
+55, Private, 237428, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 1504, 40, United-States, <=50K.
+40, Private, 200766, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, Black, Male, 14344, 0, 40, United-States, >50K.
+22, State-gov, 24896, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K.
+35, Private, 107164, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+42, Private, 202083, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, Canada, <=50K.
+45, State-gov, 53768, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 70, United-States, <=50K.
+48, Private, 159577, 10th, 6, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+76, ?, 209674, 7th-8th, 4, Divorced, ?, Not-in-family, White, Female, 0, 0, 7, United-States, <=50K.
+21, Private, 309348, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 18, United-States, <=50K.
+31, Private, 206046, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K.
+65, Self-emp-not-inc, 227531, Bachelors, 13, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K.
+46, Self-emp-not-inc, 135339, HS-grad, 9, Married-spouse-absent, Craft-repair, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 45, India, >50K.
+18, Private, 155503, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K.
+65, Self-emp-not-inc, 176835, Masters, 14, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female, 7978, 0, 40, United-States, <=50K.
+18, Private, 163067, Some-college, 10, Never-married, Protective-serv, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+35, Private, 212607, Some-college, 10, Never-married, Adm-clerical, Unmarried, Other, Female, 0, 0, 44, Puerto-Rico, <=50K.
+53, Self-emp-inc, 162381, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 45, United-States, >50K.
+34, Private, 195890, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K.
+33, Federal-gov, 49358, 10th, 6, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+28, Private, 136077, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Poland, <=50K.
+43, Private, 119297, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+52, Private, 48947, Assoc-voc, 11, Widowed, Other-service, Unmarried, White, Female, 0, 0, 13, United-States, <=50K.
+49, Self-emp-not-inc, 32825, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K.
+21, State-gov, 82847, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K.
+61, Private, 119684, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+54, Private, 264143, 9th, 5, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 24, United-States, <=50K.
+45, Private, 30690, 7th-8th, 4, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 10, United-States, <=50K.
+24, Private, 113631, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+26, Private, 366889, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+40, Private, 393962, Assoc-voc, 11, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K.
+48, Private, 165484, Bachelors, 13, Separated, Sales, Not-in-family, White, Male, 0, 0, 65, United-States, >50K.
+40, Federal-gov, 90737, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 1887, 40, United-States, >50K.
+34, Private, 379798, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K.
+29, Private, 190911, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+25, Private, 72887, 11th, 7, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, >50K.
+65, Private, 192309, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K.
+58, Self-emp-not-inc, 98361, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+47, Private, 121253, Doctorate, 16, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 29, United-States, <=50K.
+56, State-gov, 270859, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 48, United-States, >50K.
+26, Self-emp-not-inc, 223705, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, Columbia, <=50K.
+45, Private, 125892, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 60, United-States, >50K.
+37, Self-emp-not-inc, 202683, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+58, ?, 99131, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 7298, 0, 40, United-States, >50K.
+56, Private, 197577, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+19, Without-pay, 43627, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 10, United-States, <=50K.
+37, Private, 175185, Assoc-voc, 11, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+19, Private, 377405, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K.
+24, Private, 47541, Masters, 14, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K.
+36, Private, 218729, Some-college, 10, Married-civ-spouse, Adm-clerical, Own-child, White, Female, 0, 0, 30, United-States, >50K.
+26, Local-gov, 197430, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K.
+57, Private, 259010, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 84, United-States, <=50K.
+49, Private, 121124, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+21, ?, 334593, Some-college, 10, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+40, Private, 374764, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K.
+59, Private, 192845, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K.
+36, Private, 144524, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+31, Self-emp-inc, 136402, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+42, Private, 255847, 7th-8th, 4, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, Mexico, <=50K.
+29, Private, 177955, 9th, 5, Never-married, Priv-house-serv, Unmarried, White, Female, 0, 0, 24, El-Salvador, <=50K.
+35, Private, 151835, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 50, United-States, >50K.
+18, Private, 65098, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 15, United-States, <=50K.
+27, Self-emp-not-inc, 328119, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 30, Mexico, <=50K.
+55, Private, 125147, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K.
+52, Private, 62834, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 20, United-States, >50K.
+51, State-gov, 230095, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 38, United-States, <=50K.
+41, Federal-gov, 348059, Masters, 14, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, >50K.
+34, Private, 425622, 5th-6th, 3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Mexico, <=50K.
+25, Local-gov, 336320, Bachelors, 13, Divorced, Protective-serv, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+28, Private, 225809, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+80, Private, 216073, 5th-6th, 3, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 32, United-States, <=50K.
+27, Private, 267912, 5th-6th, 3, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 52, Mexico, <=50K.
+28, Private, 108706, HS-grad, 9, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 40, United-States, >50K.
+43, Private, 575172, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Husband, White, Male, 3103, 0, 32, United-States, >50K.
+18, Private, 311489, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 26, United-States, <=50K.
+46, Private, 189123, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 7298, 0, 40, United-States, >50K.
+42, Private, 95998, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+50, Self-emp-inc, 177487, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 30, United-States, <=50K.
+30, Private, 213002, Some-college, 10, Married-civ-spouse, Tech-support, Husband, Black, Male, 0, 0, 14, United-States, <=50K.
+55, Private, 272723, 7th-8th, 4, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+58, Private, 84231, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K.
+41, Private, 475322, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 1617, 35, United-States, <=50K.
+25, Private, 120268, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 1741, 40, United-States, <=50K.
+22, ?, 60331, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 10, United-States, <=50K.
+59, Private, 172618, Some-college, 10, Divorced, Sales, Not-in-family, White, Male, 0, 0, 56, United-States, <=50K.
+36, State-gov, 173273, Masters, 14, Never-married, Prof-specialty, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K.
+25, Private, 52921, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+19, Private, 210364, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K.
+34, Private, 87310, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 2174, 0, 40, United-States, <=50K.
+51, Private, 332489, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, Germany, >50K.
+31, Private, 100333, 11th, 7, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K.
+21, Private, 216867, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+36, ?, 177974, 11th, 7, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+51, Private, 292110, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K.
+39, Federal-gov, 219137, Assoc-acdm, 12, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+34, Private, 159589, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 2051, 40, United-States, <=50K.
+38, Private, 186815, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 43, United-States, <=50K.
+21, Private, 22149, HS-grad, 9, Never-married, Other-service, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 30, United-States, <=50K.
+22, Private, 228724, Assoc-voc, 11, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+29, State-gov, 187392, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+25, Private, 105930, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+53, State-gov, 182907, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+68, Private, 322025, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 5, United-States, <=50K.
+21, Private, 263886, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 20, United-States, <=50K.
+34, Local-gov, 362775, 10th, 6, Married-civ-spouse, Other-service, Wife, Amer-Indian-Eskimo, Female, 0, 0, 30, United-States, <=50K.
+53, Private, 96062, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+59, ?, 191665, Some-college, 10, Widowed, ?, Not-in-family, White, Female, 0, 2205, 40, United-States, <=50K.
+32, Self-emp-not-inc, 159322, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 1980, 80, United-States, <=50K.
+33, Local-gov, 163867, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 8, United-States, <=50K.
+34, Self-emp-not-inc, 136204, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 32, United-States, >50K.
+61, Private, 160431, HS-grad, 9, Widowed, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+46, Private, 163324, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+32, ?, 161309, Prof-school, 15, Married-civ-spouse, ?, Wife, White, Female, 15024, 0, 50, United-States, >50K.
+26, Private, 208881, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K.
+37, Self-emp-not-inc, 183127, HS-grad, 9, Divorced, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+41, Private, 192225, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+59, Local-gov, 222081, Bachelors, 13, Never-married, Prof-specialty, Other-relative, Black, Female, 0, 0, 35, United-States, <=50K.
+28, Private, 183627, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+39, Private, 187921, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 99, United-States, <=50K.
+25, Private, 25497, Some-college, 10, Never-married, Transport-moving, Not-in-family, White, Male, 4101, 0, 40, United-States, <=50K.
+45, Private, 353824, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K.
+30, Private, 250804, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+61, Private, 385583, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+52, Private, 84788, 10th, 6, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+54, Private, 127704, 7th-8th, 4, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+54, ?, 99208, Preschool, 1, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 16, United-States, <=50K.
+45, Private, 347993, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 44, Mexico, <=50K.
+48, Private, 175958, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K.
+36, Self-emp-not-inc, 278553, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 15024, 0, 75, United-States, >50K.
+49, Private, 186009, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 43, United-States, <=50K.
+31, Private, 55104, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K.
+65, Local-gov, 179411, HS-grad, 9, Widowed, Tech-support, Unmarried, White, Female, 0, 0, 35, United-States, <=50K.
+56, Private, 68452, HS-grad, 9, Separated, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+38, Local-gov, 202027, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+70, Private, 113401, 10th, 6, Widowed, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+37, Private, 186934, Bachelors, 13, Married-civ-spouse, Prof-specialty, Other-relative, White, Male, 0, 0, 40, United-States, >50K.
+43, Federal-gov, 190020, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+28, Private, 198493, Assoc-acdm, 12, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+42, Private, 256448, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 15, United-States, <=50K.
+30, Private, 622192, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 6, United-States, <=50K.
+77, Private, 133728, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+33, Private, 181824, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 20, United-States, <=50K.
+17, Private, 286422, 10th, 6, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 25, United-States, <=50K.
+59, Private, 378585, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 44, United-States, >50K.
+44, Private, 121012, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 5013, 0, 45, United-States, <=50K.
+33, Private, 164864, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 323, 40, United-States, <=50K.
+17, Private, 74706, 11th, 7, Never-married, Priv-house-serv, Own-child, White, Male, 0, 0, 20, United-States, <=50K.
+22, Private, 185582, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 25, United-States, >50K.
+43, Private, 132633, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Wife, White, Female, 0, 0, 40, ?, <=50K.
+42, Federal-gov, 230438, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 1887, 40, United-States, >50K.
+26, Private, 175540, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+47, Local-gov, 115304, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+28, Private, 340269, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 3137, 0, 45, United-States, <=50K.
+33, Private, 171889, 12th, 8, Never-married, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K.
+52, Private, 94873, HS-grad, 9, Widowed, Other-service, Unmarried, White, Male, 0, 0, 19, United-States, <=50K.
+34, ?, 144194, Assoc-voc, 11, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 35, United-States, <=50K.
+44, Private, 141131, 12th, 8, Divorced, Machine-op-inspct, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, South, <=50K.
+25, Private, 192735, HS-grad, 9, Separated, Adm-clerical, Not-in-family, White, Female, 0, 0, 70, United-States, <=50K.
+33, Self-emp-not-inc, 238186, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 98, United-States, <=50K.
+23, Private, 305609, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 52, United-States, <=50K.
+29, Private, 312845, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 30, United-States, <=50K.
+21, Private, 33884, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+23, ?, 264874, Assoc-voc, 11, Never-married, ?, Other-relative, White, Female, 0, 0, 40, ?, <=50K.
+31, State-gov, 268832, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 37, United-States, <=50K.
+42, Private, 99651, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K.
+39, Private, 257597, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 42, United-States, <=50K.
+54, Self-emp-inc, 195904, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+17, Private, 266497, 9th, 5, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K.
+63, Private, 287972, Bachelors, 13, Widowed, Other-service, Other-relative, Black, Female, 0, 0, 20, United-States, <=50K.
+46, Private, 200569, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+62, Local-gov, 117292, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 8614, 0, 45, United-States, >50K.
+64, ?, 223075, Bachelors, 13, Divorced, ?, Not-in-family, White, Female, 0, 0, 8, United-States, <=50K.
+54, Private, 175339, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+22, Self-emp-inc, 333197, HS-grad, 9, Never-married, Exec-managerial, Own-child, White, Male, 0, 2205, 45, United-States, <=50K.
+61, Private, 53707, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+73, Private, 39212, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K.
+52, Private, 228500, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+24, Private, 234663, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 60, United-States, <=50K.
+52, ?, 88073, Bachelors, 13, Divorced, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+35, Private, 420040, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+41, Private, 126517, Some-college, 10, Separated, Sales, Unmarried, Black, Female, 0, 0, 20, United-States, <=50K.
+31, Private, 238002, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 55, Mexico, <=50K.
+53, State-gov, 21412, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+25, Private, 147804, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+19, Private, 222445, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 10, United-States, <=50K.
+36, Private, 126675, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K.
+42, Private, 301080, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+45, Private, 382532, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K.
+33, Private, 232356, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K.
+26, Private, 167350, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 3137, 0, 50, United-States, <=50K.
+28, ?, 375703, HS-grad, 9, Divorced, ?, Other-relative, Black, Female, 0, 1721, 40, United-States, <=50K.
+33, Private, 252708, 12th, 8, Never-married, Sales, Other-relative, White, Female, 0, 0, 40, Mexico, <=50K.
+33, Private, 186824, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+36, Private, 176101, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+21, Private, 175121, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+17, Private, 355850, 11th, 7, Never-married, Transport-moving, Own-child, White, Male, 0, 1602, 15, United-States, <=50K.
+45, Private, 180931, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K.
+45, State-gov, 30219, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K.
+41, Federal-gov, 350387, Masters, 14, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, India, >50K.
+24, Private, 194247, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+57, Private, 137653, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+48, Private, 131762, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K.
+31, Self-emp-not-inc, 283587, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+33, Self-emp-inc, 218164, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 55, United-States, >50K.
+41, Private, 287581, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 45, United-States, >50K.
+41, Private, 281725, 5th-6th, 3, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, Mexico, <=50K.
+63, Private, 50120, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 1573, 25, United-States, <=50K.
+39, Private, 156667, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 18, United-States, <=50K.
+28, Private, 566066, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 45, United-States, <=50K.
+42, Private, 121352, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 80, ?, >50K.
+18, Private, 260977, 12th, 8, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+22, Private, 90860, Some-college, 10, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K.
+42, Private, 218302, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K.
+47, Private, 170142, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+33, Local-gov, 171889, HS-grad, 9, Divorced, Transport-moving, Unmarried, White, Female, 0, 0, 43, United-States, <=50K.
+34, Private, 193172, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K.
+18, Private, 164134, HS-grad, 9, Never-married, Tech-support, Own-child, White, Female, 0, 0, 10, United-States, <=50K.
+66, Private, 204283, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+51, ?, 81169, HS-grad, 9, Separated, ?, Unmarried, White, Female, 0, 0, 38, United-States, <=50K.
+39, Private, 92143, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Wife, White, Female, 7688, 0, 55, United-States, >50K.
+35, Private, 181099, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+56, State-gov, 102791, HS-grad, 9, Divorced, Adm-clerical, Own-child, White, Female, 0, 0, 35, United-States, <=50K.
+46, Local-gov, 364548, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 42, United-States, >50K.
+21, Self-emp-inc, 153516, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+58, Self-emp-not-inc, 189528, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 84, United-States, <=50K.
+66, Local-gov, 154171, Some-college, 10, Widowed, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K.
+25, Private, 90752, Bachelors, 13, Never-married, Sales, Own-child, White, Female, 0, 0, 30, United-States, <=50K.
+57, Private, 278763, Assoc-voc, 11, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female, 0, 0, 47, United-States, <=50K.
+28, Private, 253581, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+38, Private, 59660, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 50, United-States, >50K.
+57, Self-emp-not-inc, 170988, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 55, United-States, <=50K.
+18, ?, 160984, 11th, 7, Never-married, ?, Own-child, White, Female, 0, 0, 6, United-States, <=50K.
+24, Private, 493732, 1st-4th, 2, Never-married, Farming-fishing, Own-child, White, Female, 0, 0, 40, Mexico, <=50K.
+36, Private, 325802, HS-grad, 9, Separated, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+42, Private, 196344, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, Guatemala, <=50K.
+32, State-gov, 316589, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+35, Self-emp-inc, 365739, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+40, Private, 309990, Some-college, 10, Separated, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+26, Private, 241852, 12th, 8, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+41, Private, 184105, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K.
+50, Private, 134680, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+20, Private, 274545, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 10, United-States, <=50K.
+36, Private, 207853, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 65, United-States, >50K.
+25, Private, 284061, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+62, Private, 186446, Some-college, 10, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 43, United-States, <=50K.
+22, Private, 255575, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K.
+52, Federal-gov, 302661, Assoc-acdm, 12, Widowed, Exec-managerial, Unmarried, White, Male, 13550, 0, 40, United-States, >50K.
+52, Private, 148509, 10th, 6, Married-spouse-absent, Prof-specialty, Other-relative, Asian-Pac-Islander, Male, 0, 0, 45, ?, <=50K.
+48, Private, 211239, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2415, 60, United-States, >50K.
+70, Private, 50468, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 3175, 15, United-States, <=50K.
+41, Private, 316820, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, >50K.
+21, Private, 145964, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 60, United-States, >50K.
+39, Private, 185084, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 55, United-States, <=50K.
+29, Private, 183111, Assoc-voc, 11, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 60, United-States, <=50K.
+28, Private, 63042, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 35, United-States, <=50K.
+31, Private, 339738, HS-grad, 9, Married-civ-spouse, Transport-moving, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K.
+23, Private, 273049, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 20, United-States, <=50K.
+54, State-gov, 239256, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+73, Self-emp-not-inc, 110102, HS-grad, 9, Widowed, Farming-fishing, Not-in-family, White, Male, 0, 1668, 77, United-States, <=50K.
+29, State-gov, 165764, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, Black, Female, 0, 0, 35, United-States, <=50K.
+22, Private, 152744, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 10, United-States, <=50K.
+57, Local-gov, 212303, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+41, Self-emp-not-inc, 118544, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 32, United-States, <=50K.
+39, Private, 269548, 1st-4th, 2, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 70, Mexico, <=50K.
+25, State-gov, 319303, Some-college, 10, Divorced, Other-service, Unmarried, White, Male, 0, 2472, 40, United-States, >50K.
+74, Without-pay, 216001, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 20, United-States, <=50K.
+45, Private, 205816, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, >50K.
+18, Private, 427437, HS-grad, 9, Never-married, Sales, Own-child, Black, Female, 0, 0, 40, United-States, <=50K.
+24, Private, 198259, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+45, Private, 54314, 9th, 5, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K.
+32, Private, 195744, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+53, Local-gov, 294547, Some-college, 10, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K.
+50, Private, 77521, 11th, 7, Never-married, Priv-house-serv, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+35, Private, 288158, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+24, Private, 125010, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 45, United-States, <=50K.
+32, Private, 80945, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Nicaragua, >50K.
+21, Private, 33016, 10th, 6, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 25, United-States, <=50K.
+42, Private, 388725, Masters, 14, Divorced, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, >50K.
+37, Local-gov, 347136, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 44, United-States, <=50K.
+53, Self-emp-inc, 158294, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 99999, 0, 75, United-States, >50K.
+34, Private, 362787, 10th, 6, Married-spouse-absent, Other-service, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K.
+29, Private, 39388, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+55, Private, 322691, Masters, 14, Widowed, Exec-managerial, Own-child, White, Male, 0, 0, 62, United-States, >50K.
+29, Private, 31659, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 2202, 0, 45, United-States, <=50K.
+70, Private, 176940, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 16, United-States, <=50K.
+26, Local-gov, 189027, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+51, Private, 98719, HS-grad, 9, Divorced, Handlers-cleaners, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+58, Private, 172238, HS-grad, 9, Widowed, Exec-managerial, Unmarried, White, Female, 0, 0, 50, United-States, <=50K.
+23, ?, 170456, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 5, United-States, <=50K.
+27, Private, 129009, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K.
+17, Private, 247580, 12th, 8, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 18, United-States, <=50K.
+29, Private, 204516, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 52, United-States, <=50K.
+26, Private, 192652, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K.
+31, Private, 336543, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 45, United-States, >50K.
+29, ?, 143938, HS-grad, 9, Separated, ?, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+22, Private, 272591, 10th, 6, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K.
+28, Local-gov, 312372, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K.
+28, Local-gov, 172270, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 45, United-States, <=50K.
+20, Private, 342414, Some-college, 10, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 24, United-States, <=50K.
+58, Private, 123886, HS-grad, 9, Never-married, Sales, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K.
+23, Private, 398130, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 96, United-States, <=50K.
+34, Private, 142989, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+32, Private, 331539, HS-grad, 9, Never-married, Craft-repair, Not-in-family, Other, Male, 0, 0, 40, United-States, <=50K.
+19, Private, 225156, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+18, ?, 311863, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+35, Local-gov, 170682, 11th, 7, Married-civ-spouse, Prof-specialty, Wife, Black, Female, 0, 0, 32, United-States, <=50K.
+21, Private, 96178, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+20, ?, 37932, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 30, United-States, <=50K.
+49, Private, 198126, 7th-8th, 4, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+34, Private, 344275, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 60, ?, >50K.
+37, Private, 112497, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+36, Private, 178487, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 1669, 40, United-States, <=50K.
+44, Private, 55395, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+39, Local-gov, 131239, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+36, Self-emp-not-inc, 104772, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 3908, 0, 40, United-States, <=50K.
+53, Private, 427320, Bachelors, 13, Divorced, Other-service, Not-in-family, Black, Male, 3325, 0, 40, United-States, <=50K.
+34, ?, 73296, 11th, 7, Never-married, ?, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K.
+24, Private, 216853, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 37, United-States, <=50K.
+40, Private, 259757, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+47, Private, 200734, HS-grad, 9, Separated, Priv-house-serv, Not-in-family, Black, Female, 0, 0, 50, Nicaragua, <=50K.
+19, ?, 87515, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 44, Germany, <=50K.
+18, Private, 161245, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 8, United-States, <=50K.
+32, Private, 262024, HS-grad, 9, Never-married, Other-service, Own-child, Black, Male, 0, 0, 38, United-States, <=50K.
+21, Private, 287681, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, Mexico, <=50K.
+27, Private, 303601, 12th, 8, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+58, ?, 365410, Some-college, 10, Separated, ?, Other-relative, White, Female, 0, 0, 99, United-States, <=50K.
+29, Self-emp-not-inc, 394356, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+34, Private, 263150, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 45, United-States, >50K.
+45, State-gov, 86618, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, >50K.
+43, Private, 120277, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 45, United-States, <=50K.
+63, Federal-gov, 90393, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 48, United-States, <=50K.
+26, Self-emp-inc, 79078, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+42, State-gov, 197344, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+21, Private, 120998, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K.
+36, Private, 37522, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 50, United-States, >50K.
+44, Private, 96321, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+18, Private, 217302, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K.
+69, Private, 137109, 10th, 6, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 16, United-States, <=50K.
+40, Private, 227823, Assoc-acdm, 12, Divorced, Adm-clerical, Own-child, White, Female, 0, 0, 70, United-States, <=50K.
+37, Private, 22149, HS-grad, 9, Never-married, Other-service, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 18, United-States, <=50K.
+39, Private, 176900, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, >50K.
+57, Private, 154368, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+28, Private, 183445, HS-grad, 9, Separated, Priv-house-serv, Own-child, White, Female, 0, 0, 40, Guatemala, <=50K.
+23, Private, 193537, HS-grad, 9, Never-married, Adm-clerical, Own-child, Black, Male, 0, 0, 20, United-States, <=50K.
+20, Private, 313873, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 30, United-States, <=50K.
+46, Private, 34186, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+44, State-gov, 271807, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 16, United-States, <=50K.
+67, ?, 46449, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 10, United-States, <=50K.
+31, Private, 128065, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+24, Private, 176486, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+54, Private, 191072, Bachelors, 13, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K.
+28, Private, 34452, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+30, State-gov, 123253, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+42, Private, 113461, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+17, Private, 116267, 12th, 8, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 15, Columbia, <=50K.
+32, Private, 30433, Bachelors, 13, Never-married, Tech-support, Other-relative, White, Female, 0, 0, 72, United-States, <=50K.
+25, Private, 198512, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+49, Self-emp-inc, 131826, Prof-school, 15, Widowed, Prof-specialty, Unmarried, White, Male, 99999, 0, 50, United-States, >50K.
+35, Private, 129764, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+32, Private, 49398, Bachelors, 13, Separated, Prof-specialty, Not-in-family, White, Male, 10520, 0, 40, United-States, >50K.
+17, Local-gov, 292285, 11th, 7, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 25, United-States, <=50K.
+61, Federal-gov, 91726, Masters, 14, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 40, United-States, >50K.
+56, Private, 178282, HS-grad, 9, Widowed, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+50, Private, 227458, HS-grad, 9, Never-married, Exec-managerial, Unmarried, White, Male, 0, 0, 51, United-States, <=50K.
+32, Private, 183470, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male, 0, 0, 42, United-States, <=50K.
+41, Private, 275446, Some-college, 10, Separated, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+41, Private, 328013, Masters, 14, Never-married, Prof-specialty, Not-in-family, Black, Male, 0, 0, 65, United-States, <=50K.
+19, Private, 382688, 10th, 6, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K.
+18, Private, 122988, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K.
+25, Private, 175537, Bachelors, 13, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K.
+21, Private, 256278, HS-grad, 9, Never-married, Other-service, Other-relative, Other, Female, 0, 0, 35, El-Salvador, <=50K.
+34, Private, 161153, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+31, Private, 48189, 9th, 5, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 65, United-States, <=50K.
+36, Private, 186531, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+19, Private, 96866, Some-college, 10, Never-married, Other-service, Other-relative, White, Female, 0, 0, 30, United-States, <=50K.
+35, Private, 117555, Assoc-acdm, 12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+18, ?, 98549, HS-grad, 9, Never-married, ?, Own-child, White, Female, 0, 1602, 35, United-States, <=50K.
+39, Private, 101782, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+30, Private, 234753, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 34, United-States, >50K.
+59, Private, 59469, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K.
+28, Private, 614113, Some-college, 10, Separated, Adm-clerical, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K.
+47, Private, 203505, Doctorate, 16, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 23, United-States, <=50K.
+27, Private, 128365, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+56, Private, 36990, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 52, United-States, >50K.
+18, Private, 303240, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+76, ?, 217043, 10th, 6, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 15, United-States, <=50K.
+56, Private, 176079, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 15024, 0, 24, United-States, >50K.
+40, Self-emp-inc, 266047, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 65, United-States, >50K.
+39, Self-emp-inc, 285890, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 40, Haiti, >50K.
+24, Private, 70261, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+23, Private, 214236, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+36, Self-emp-not-inc, 143385, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+55, Private, 150507, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+23, Private, 292264, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+39, Self-emp-inc, 110861, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K.
+32, Private, 225064, HS-grad, 9, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+32, Private, 154120, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Trinadad&Tobago, <=50K.
+17, Private, 34465, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 32, United-States, <=50K.
+29, Private, 89598, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 2057, 35, United-States, <=50K.
+54, Private, 183668, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+37, Private, 189382, Assoc-acdm, 12, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 1504, 40, United-States, <=50K.
+67, ?, 165103, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 2174, 50, United-States, >50K.
+48, Private, 44216, Masters, 14, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K.
+17, Private, 150471, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K.
+41, Private, 32627, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+43, Self-emp-not-inc, 153109, Assoc-acdm, 12, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 60, United-States, <=50K.
+29, Private, 352451, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+43, Private, 176716, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 70, United-States, >50K.
+46, Federal-gov, 171850, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K.
+42, Private, 260496, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, Black, Female, 0, 0, 40, United-States, <=50K.
+36, Private, 154410, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1902, 40, United-States, >50K.
+31, Self-emp-not-inc, 23500, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 75, United-States, <=50K.
+60, Private, 178312, 11th, 7, Married-civ-spouse, Sales, Husband, White, Male, 0, 1902, 70, United-States, >50K.
+50, Private, 62593, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, >50K.
+30, Private, 123291, Some-college, 10, Separated, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+22, Private, 313817, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+57, State-gov, 229270, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Other, Male, 0, 1579, 37, United-States, <=50K.
+43, Private, 212027, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, Black, Male, 0, 0, 38, United-States, <=50K.
+58, Private, 259532, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 70, United-States, <=50K.
+26, Local-gov, 213258, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+26, Private, 316337, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K.
+38, Private, 179123, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, >50K.
+26, Private, 191765, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, Scotland, <=50K.
+59, Self-emp-inc, 188877, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K.
+41, Private, 55395, Some-college, 10, Married-spouse-absent, Other-service, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+21, Private, 161051, Some-college, 10, Never-married, Tech-support, Own-child, Black, Female, 0, 0, 4, United-States, <=50K.
+30, Private, 241844, HS-grad, 9, Separated, Handlers-cleaners, Own-child, Black, Male, 0, 0, 40, United-States, <=50K.
+36, Private, 232142, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 80, United-States, <=50K.
+43, Private, 311534, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 44, United-States, >50K.
+68, Self-emp-not-inc, 128986, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 30, United-States, <=50K.
+18, Private, 67019, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K.
+23, Private, 208826, Bachelors, 13, Never-married, Exec-managerial, Unmarried, White, Female, 0, 0, 30, United-States, <=50K.
+43, Private, 256813, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 40, United-States, >50K.
+44, Private, 160919, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 30, United-States, <=50K.
+43, Private, 107584, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K.
+59, Self-emp-inc, 159472, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+35, Private, 408318, 7th-8th, 4, Married-spouse-absent, Other-service, Not-in-family, White, Male, 0, 0, 25, Mexico, <=50K.
+61, Private, 194956, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K.
+52, State-gov, 21764, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K.
+37, Private, 277347, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+57, Private, 104455, Some-college, 10, Married-spouse-absent, Sales, Own-child, Asian-Pac-Islander, Female, 0, 0, 90, United-States, >50K.
+30, Private, 117584, Masters, 14, Never-married, Prof-specialty, Not-in-family, Black, Female, 0, 0, 20, United-States, <=50K.
+38, Private, 131288, Assoc-voc, 11, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+46, Private, 99014, Some-college, 10, Divorced, Other-service, Own-child, White, Female, 0, 0, 35, United-States, <=50K.
+22, Private, 141003, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+64, Private, 344014, Some-college, 10, Divorced, Tech-support, Unmarried, Black, Female, 0, 1741, 40, United-States, <=50K.
+45, Private, 175600, Assoc-voc, 11, Divorced, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+31, Local-gov, 240504, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 1902, 50, United-States, >50K.
+20, Private, 174436, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 60, United-States, <=50K.
+29, Private, 194869, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K.
+23, Private, 164901, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 20, United-States, <=50K.
+62, Private, 72886, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+41, Self-emp-inc, 130126, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, >50K.
+42, Self-emp-inc, 196514, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+31, Private, 103651, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K.
+25, Private, 261419, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 50, United-States, <=50K.
+61, Private, 206339, 10th, 6, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+27, Private, 445365, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+40, Private, 227466, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 50, United-States, <=50K.
+49, Private, 96854, HS-grad, 9, Divorced, Other-service, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+21, Private, 163595, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+22, State-gov, 181096, Bachelors, 13, Never-married, Prof-specialty, Own-child, Black, Male, 0, 0, 20, United-States, <=50K.
+24, Private, 95984, Assoc-voc, 11, Never-married, Sales, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K.
+37, Private, 472517, Assoc-voc, 11, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 4, United-States, <=50K.
+46, Local-gov, 60751, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+35, Private, 107302, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K.
+41, Private, 106501, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 50, United-States, >50K.
+23, Private, 32732, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+34, Self-emp-inc, 174789, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+39, Private, 301628, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K.
+29, Private, 27436, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K.
+24, Private, 93977, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+54, Private, 139127, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+28, Private, 258231, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+25, Self-emp-not-inc, 136309, 11th, 7, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+50, Private, 266433, Some-college, 10, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+59, Private, 140363, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 42, United-States, >50K.
+58, Private, 179715, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 47, United-States, >50K.
+55, Private, 204816, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+58, Private, 35520, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 7688, 0, 40, United-States, >50K.
+46, Private, 101320, Bachelors, 13, Separated, Prof-specialty, Unmarried, White, Female, 0, 0, 42, United-States, >50K.
+40, Private, 210857, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 50, United-States, >50K.
+40, Self-emp-not-inc, 60949, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+57, Local-gov, 139095, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+46, Private, 233493, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 1579, 40, United-States, <=50K.
+36, Private, 176249, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 1590, 40, United-States, <=50K.
+29, Private, 187746, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+32, Private, 49593, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K.
+24, Self-emp-not-inc, 240160, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K.
+63, Private, 76286, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Other, Male, 0, 0, 40, India, >50K.
+23, Private, 65225, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K.
+36, Private, 225330, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+31, Private, 101562, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 50, United-States, >50K.
+52, Self-emp-not-inc, 27539, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 7688, 0, 72, United-States, >50K.
+60, Local-gov, 227311, 10th, 6, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+29, ?, 51260, HS-grad, 9, Never-married, ?, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+31, Private, 256609, HS-grad, 9, Married-spouse-absent, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K.
+35, Local-gov, 123939, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+24, Federal-gov, 203182, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 2174, 0, 40, United-States, <=50K.
+38, Private, 111128, Some-college, 10, Divorced, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+42, Private, 112451, HS-grad, 9, Never-married, Other-service, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K.
+44, ?, 177461, Some-college, 10, Divorced, ?, Unmarried, Amer-Indian-Eskimo, Male, 0, 0, 50, United-States, <=50K.
+24, Private, 332155, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 20, United-States, <=50K.
+42, Local-gov, 178983, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 37, United-States, <=50K.
+54, Private, 199392, 5th-6th, 3, Divorced, Machine-op-inspct, Other-relative, White, Female, 0, 0, 40, Nicaragua, <=50K.
+19, Private, 311015, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+20, Private, 126038, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+21, Private, 402124, Assoc-voc, 11, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+30, Private, 198660, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+26, ?, 228457, 11th, 7, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+34, Self-emp-inc, 223267, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 2829, 0, 78, United-States, <=50K.
+22, Self-emp-not-inc, 249046, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 35, United-States, <=50K.
+45, Self-emp-not-inc, 127948, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+32, Private, 154785, Some-college, 10, Never-married, Adm-clerical, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, China, <=50K.
+28, Private, 248404, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K.
+31, Private, 137978, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+40, Private, 144778, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+30, Private, 133250, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+28, Private, 402771, Assoc-voc, 11, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 23, United-States, <=50K.
+47, ?, 97075, HS-grad, 9, Divorced, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+21, Private, 116234, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 44, United-States, <=50K.
+25, Local-gov, 262818, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 35, Guatemala, <=50K.
+47, Private, 138342, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+50, Private, 123374, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K.
+23, Private, 202373, HS-grad, 9, Never-married, Sales, Own-child, Black, Male, 0, 0, 20, United-States, <=50K.
+54, Self-emp-not-inc, 180522, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 70, United-States, <=50K.
+24, Local-gov, 140647, HS-grad, 9, Never-married, Other-service, Own-child, Black, Male, 0, 0, 36, United-States, <=50K.
+50, Private, 136898, Assoc-voc, 11, Widowed, Exec-managerial, Unmarried, White, Female, 0, 0, 55, ?, <=50K.
+29, Private, 140927, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+36, Private, 114055, Assoc-voc, 11, Never-married, Prof-specialty, Unmarried, White, Female, 3325, 0, 40, United-States, <=50K.
+46, Private, 114222, Assoc-voc, 11, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+39, Self-emp-inc, 51089, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 30, United-States, <=50K.
+46, Private, 37353, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+36, Local-gov, 379672, Assoc-voc, 11, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 60, United-States, <=50K.
+64, Private, 130727, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 2174, 0, 37, United-States, <=50K.
+51, Private, 172046, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K.
+57, Private, 228764, Assoc-voc, 11, Divorced, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+21, Private, 376393, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 25, United-States, <=50K.
+53, Private, 185283, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K.
+61, Self-emp-not-inc, 195789, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 30, United-States, <=50K.
+50, Private, 243115, HS-grad, 9, Married-spouse-absent, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K.
+74, Private, 147558, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 7262, 0, 30, United-States, >50K.
+22, State-gov, 62865, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 8, United-States, <=50K.
+25, Self-emp-not-inc, 275197, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+63, Self-emp-not-inc, 124015, Masters, 14, Separated, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K.
+38, Self-emp-inc, 282951, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+46, Private, 105253, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 50, United-States, >50K.
+31, Private, 119164, HS-grad, 9, Never-married, Exec-managerial, Other-relative, White, Male, 0, 0, 40, ?, <=50K.
+35, Self-emp-not-inc, 263081, Some-college, 10, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 84, United-States, <=50K.
+54, Private, 96062, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+50, Private, 44942, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 1848, 48, United-States, >50K.
+37, Federal-gov, 127879, Some-college, 10, Never-married, Exec-managerial, Own-child, Black, Female, 0, 0, 40, United-States, <=50K.
+37, Private, 109633, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+29, Private, 109404, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+56, Private, 126677, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 3103, 0, 40, United-States, >50K.
+52, Private, 101113, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 66, United-States, >50K.
+40, Private, 117523, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, Columbia, <=50K.
+29, Private, 183523, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 40, United-States, >50K.
+46, Self-emp-not-inc, 311231, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+49, Private, 459556, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 50, United-States, <=50K.
+37, Private, 95551, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K.
+36, Private, 126675, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K.
+32, Private, 200246, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+53, Private, 108435, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, Italy, <=50K.
+18, Private, 141332, 11th, 7, Never-married, Sales, Own-child, Black, Male, 0, 0, 8, United-States, <=50K.
+48, Private, 117310, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 20, United-States, <=50K.
+26, Private, 182380, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+64, ?, 226878, Masters, 14, Married-civ-spouse, ?, Wife, Black, Female, 9386, 0, 50, Jamaica, >50K.
+49, Private, 123807, HS-grad, 9, Separated, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+41, Private, 109539, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+20, Local-gov, 38455, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 10, United-States, <=50K.
+56, Private, 294209, HS-grad, 9, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K.
+33, Private, 130215, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 35, ?, <=50K.
+29, Private, 285294, Assoc-acdm, 12, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+29, Private, 168221, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+55, Private, 288907, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 4787, 0, 40, United-States, >50K.
+26, Private, 391349, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K.
+32, Private, 170276, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 46, United-States, >50K.
+33, Private, 117963, HS-grad, 9, Never-married, Machine-op-inspct, Other-relative, White, Male, 0, 0, 55, United-States, <=50K.
+54, Local-gov, 68015, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K.
+20, ?, 285208, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 30, United-States, <=50K.
+33, Private, 181091, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 16, United-States, <=50K.
+44, Self-emp-not-inc, 53956, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 57, United-States, <=50K.
+47, Federal-gov, 198223, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K.
+90, Self-emp-not-inc, 83601, Prof-school, 15, Widowed, Prof-specialty, Not-in-family, White, Male, 1086, 0, 60, United-States, <=50K.
+26, Self-emp-not-inc, 201579, 5th-6th, 3, Never-married, Prof-specialty, Unmarried, White, Male, 0, 0, 14, Mexico, <=50K.
+44, Private, 137367, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Thailand, <=50K.
+33, Private, 227325, Assoc-acdm, 12, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 60, Scotland, <=50K.
+28, Private, 129814, Some-college, 10, Separated, Craft-repair, Unmarried, White, Male, 0, 0, 50, United-States, <=50K.
+26, Private, 193050, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 18, United-States, <=50K.
+33, Private, 204557, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+39, Private, 165743, 9th, 5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+34, Self-emp-not-inc, 48935, Some-college, 10, Married-civ-spouse, Farming-fishing, Wife, White, Female, 0, 0, 30, United-States, <=50K.
+70, Private, 177906, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 6514, 0, 40, United-States, >50K.
+18, Private, 93985, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K.
+20, Private, 148351, 7th-8th, 4, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, ?, <=50K.
+65, Local-gov, 172646, 9th, 5, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+52, Private, 145409, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, <=50K.
+48, Private, 548568, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K.
+47, Private, 117849, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+21, Private, 320425, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 30, United-States, <=50K.
+25, Private, 158734, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K.
+59, Private, 168416, HS-grad, 9, Married-spouse-absent, Priv-house-serv, Not-in-family, White, Female, 0, 0, 36, Poland, <=50K.
+63, Self-emp-not-inc, 33487, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 70, United-States, >50K.
+34, Private, 205072, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+44, Private, 210525, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+45, Self-emp-not-inc, 32948, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+48, Self-emp-inc, 196689, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K.
+61, Private, 87032, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+44, Self-emp-inc, 325159, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+42, Self-emp-not-inc, 52131, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+40, Private, 266439, Assoc-voc, 11, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 15, United-States, <=50K.
+22, Private, 61850, Masters, 14, Never-married, Sales, Other-relative, White, Female, 0, 0, 21, United-States, <=50K.
+19, Private, 163015, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+25, Private, 225135, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+28, Self-emp-inc, 109001, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 60, United-States, <=50K.
+33, Private, 45796, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K.
+29, Private, 214987, Some-college, 10, Divorced, Handlers-cleaners, Not-in-family, White, Male, 2174, 0, 40, United-States, <=50K.
+19, Private, 311974, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, Mexico, <=50K.
+48, Private, 77404, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K.
+43, Private, 153132, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+42, Self-emp-not-inc, 64631, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+63, Private, 151364, HS-grad, 9, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 25, United-States, <=50K.
+25, Private, 87487, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 50, United-States, <=50K.
+41, Self-emp-not-inc, 200479, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 65, United-States, <=50K.
+66, Private, 30740, HS-grad, 9, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K.
+59, Private, 153484, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+29, Local-gov, 214385, Masters, 14, Never-married, Prof-specialty, Not-in-family, Black, Female, 0, 0, 35, United-States, <=50K.
+29, ?, 565769, Preschool, 1, Never-married, ?, Not-in-family, Black, Male, 0, 0, 40, South, <=50K.
+44, Self-emp-not-inc, 92162, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+29, Private, 210945, 11th, 7, Separated, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+41, Private, 63105, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 42, United-States, >50K.
+44, Private, 185602, Assoc-voc, 11, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+37, Self-emp-inc, 329980, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 50, United-States, >50K.
+70, Local-gov, 111712, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 22, United-States, <=50K.
+25, Local-gov, 48317, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K.
+42, Private, 84661, Some-college, 10, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 30, United-States, <=50K.
+47, Private, 121622, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K.
+21, Private, 37514, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 30, United-States, <=50K.
+72, Private, 174993, Some-college, 10, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K.
+56, Private, 159472, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+52, Local-gov, 195635, HS-grad, 9, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+37, Private, 108282, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+63, Private, 55946, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+41, Private, 123306, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+27, Private, 284250, Some-college, 10, Married-civ-spouse, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K.
+60, Private, 113443, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K.
+23, Private, 309178, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+44, Private, 69236, Some-college, 10, Divorced, Adm-clerical, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, Japan, <=50K.
+34, Local-gov, 182926, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+38, Private, 126675, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+39, Private, 187693, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K.
+56, Private, 41100, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, >50K.
+53, State-gov, 261839, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+55, Private, 97197, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K.
+29, Private, 260645, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+56, Private, 116878, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Portugal, >50K.
+49, ?, 227690, HS-grad, 9, Divorced, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+29, Private, 199411, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+25, Private, 194813, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+47, Private, 177087, HS-grad, 9, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 2444, 50, United-States, >50K.
+44, Self-emp-not-inc, 242434, Bachelors, 13, Divorced, Sales, Not-in-family, White, Female, 27828, 0, 60, United-States, >50K.
+27, Private, 399123, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, Black, Male, 0, 1719, 40, United-States, <=50K.
+47, Private, 216999, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+47, Private, 47270, 12th, 8, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+42, Federal-gov, 122215, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, >50K.
+26, Private, 37898, Assoc-voc, 11, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K.
+38, Private, 61343, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+40, Private, 32533, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 30, United-States, <=50K.
+30, Private, 296897, HS-grad, 9, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+29, Private, 201101, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+41, Private, 155293, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+40, Private, 101593, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+46, State-gov, 104908, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+54, Self-emp-not-inc, 139023, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+44, Private, 429832, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+32, Private, 352542, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+64, Private, 29559, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K.
+61, Local-gov, 205711, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 30, United-States, >50K.
+49, Private, 160706, 11th, 7, Separated, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, Puerto-Rico, <=50K.
+59, Federal-gov, 101626, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, >50K.
+29, Private, 245226, HS-grad, 9, Never-married, Handlers-cleaners, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K.
+39, Private, 118286, Some-college, 10, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+22, Private, 187703, Assoc-voc, 11, Never-married, Other-service, Other-relative, White, Male, 0, 0, 40, Guatemala, <=50K.
+49, Private, 289707, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 60, United-States, <=50K.
+32, Private, 68330, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1485, 40, United-States, <=50K.
+33, Private, 118786, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 1590, 40, United-States, <=50K.
+45, Private, 203785, 9th, 5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+23, Private, 32732, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 25, United-States, <=50K.
+54, Local-gov, 204567, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+39, Self-emp-not-inc, 131808, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 80, United-States, >50K.
+22, Private, 33272, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K.
+55, Private, 117477, 11th, 7, Married-spouse-absent, Other-service, Unmarried, Black, Female, 0, 0, 40, Jamaica, <=50K.
+36, Self-emp-not-inc, 240191, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 41310, 0, 90, South, <=50K.
+38, Private, 93287, 11th, 7, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+34, Private, 127651, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K.
+57, Private, 222477, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, White, Female, 15024, 0, 8, United-States, >50K.
+23, Private, 345734, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+30, Private, 111567, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+38, Private, 108293, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 45, United-States, >50K.
+34, Private, 424988, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Mexico, <=50K.
+38, Local-gov, 94529, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Wife, White, Female, 3103, 0, 50, United-States, >50K.
+42, Private, 163322, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 38, United-States, <=50K.
+52, Local-gov, 181132, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 1887, 40, United-States, >50K.
+32, Private, 140092, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, <=50K.
+29, Private, 131913, Some-college, 10, Never-married, Adm-clerical, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K.
+74, Private, 175945, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 28, United-States, <=50K.
+48, Private, 247053, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+17, Self-emp-not-inc, 226203, 12th, 8, Never-married, Sales, Own-child, White, Male, 0, 0, 45, United-States, <=50K.
+23, Private, 205865, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 2179, 60, United-States, <=50K.
+22, Local-gov, 200109, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 15, United-States, <=50K.
+53, Private, 175029, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+20, Private, 55465, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+39, Self-emp-not-inc, 36989, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 70, United-States, >50K.
+23, Private, 255685, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 25, United-States, <=50K.
+30, Private, 180765, 11th, 7, Divorced, Other-service, Unmarried, White, Female, 0, 0, 32, United-States, <=50K.
+34, Self-emp-not-inc, 180607, HS-grad, 9, Married-spouse-absent, Other-service, Unmarried, White, Female, 0, 0, 45, United-States, <=50K.
+39, Private, 48063, 12th, 8, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 32, United-States, <=50K.
+37, State-gov, 159491, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K.
+28, Private, 167789, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K.
+23, Private, 124971, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+19, State-gov, 61710, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 12, United-States, <=50K.
+32, Private, 127895, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, Black, Female, 0, 0, 40, United-States, <=50K.
+23, Private, 390348, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 44, Japan, <=50K.
+25, Private, 205337, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K.
+52, Private, 260954, 10th, 6, Widowed, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+30, ?, 331237, HS-grad, 9, Separated, ?, Own-child, Black, Female, 0, 0, 20, United-States, <=50K.
+22, Private, 177526, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 2907, 0, 30, United-States, <=50K.
+27, Private, 113882, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 4508, 0, 40, United-States, <=50K.
+32, Private, 29144, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K.
+39, Local-gov, 124685, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 50, United-States, <=50K.
+18, Private, 88440, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 36, United-States, <=50K.
+28, Private, 265074, 11th, 7, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+50, Local-gov, 306985, Masters, 14, Married-civ-spouse, Adm-clerical, Other-relative, White, Female, 0, 2415, 50, United-States, >50K.
+72, Private, 181494, HS-grad, 9, Widowed, Other-service, Unmarried, White, Female, 0, 0, 25, United-States, <=50K.
+76, Private, 138403, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 20, United-States, <=50K.
+35, Private, 216473, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+36, Private, 143123, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1902, 40, United-States, >50K.
+19, Private, 132717, HS-grad, 9, Married-civ-spouse, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K.
+23, State-gov, 389792, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 30, United-States, <=50K.
+36, Private, 359001, Assoc-voc, 11, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+50, Private, 260052, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Male, 15020, 0, 40, United-States, >50K.
+20, Private, 63633, Some-college, 10, Never-married, Other-service, Unmarried, White, Female, 0, 0, 25, United-States, <=50K.
+64, Self-emp-not-inc, 234192, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 80, United-States, <=50K.
+53, Local-gov, 237523, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K.
+33, Self-emp-not-inc, 183778, Assoc-acdm, 12, Divorced, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+30, Private, 205916, HS-grad, 9, Never-married, Machine-op-inspct, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K.
+31, Private, 131633, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+43, Private, 33121, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 35, United-States, <=50K.
+38, Federal-gov, 32899, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+18, Private, 152171, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K.
+46, Local-gov, 127441, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K.
+46, Private, 23074, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, England, <=50K.
+42, Private, 91585, Some-college, 10, Widowed, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+18, Private, 83451, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K.
+23, Local-gov, 219122, Some-college, 10, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+81, Private, 176500, 12th, 8, Widowed, Sales, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K.
+40, ?, 246862, Bachelors, 13, Widowed, ?, Not-in-family, White, Female, 0, 0, 8, United-States, <=50K.
+35, Private, 38468, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 21, United-States, <=50K.
+24, ?, 35633, Some-college, 10, Never-married, ?, Not-in-family, White, Male, 0, 0, 11, ?, <=50K.
+19, Private, 194608, 9th, 5, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+30, Private, 269723, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K.
+24, Private, 165054, Assoc-voc, 11, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+24, Private, 127537, 9th, 5, Married-spouse-absent, Sales, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K.
+24, Private, 326931, 9th, 5, Never-married, Transport-moving, Unmarried, Other, Male, 0, 0, 40, El-Salvador, <=50K.
+24, Private, 307133, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, ?, <=50K.
+37, Private, 371576, Some-college, 10, Separated, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+50, Private, 160400, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+37, Private, 426350, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 40, United-States, >50K.
+26, State-gov, 121789, Assoc-voc, 11, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+18, Private, 218183, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K.
+24, Private, 91189, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+18, Private, 232190, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K.
+38, Self-emp-not-inc, 233033, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K.
+66, Self-emp-inc, 74263, HS-grad, 9, Widowed, Exec-managerial, Not-in-family, White, Male, 0, 0, 86, United-States, >50K.
+33, Private, 205950, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K.
+25, Private, 213383, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+23, Private, 345577, Some-college, 10, Divorced, Priv-house-serv, Not-in-family, White, Female, 0, 0, 26, United-States, <=50K.
+20, ?, 322144, Some-college, 10, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+46, Private, 158825, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Female, 14344, 0, 40, United-States, >50K.
+64, Self-emp-inc, 51286, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 6418, 0, 65, United-States, >50K.
+36, Private, 82488, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K.
+31, Federal-gov, 40909, Some-college, 10, Married-civ-spouse, Tech-support, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+23, Private, 114939, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K.
+61, Private, 221534, HS-grad, 9, Divorced, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+35, Private, 149455, Some-college, 10, Separated, Exec-managerial, Own-child, Black, Female, 0, 0, 40, United-States, <=50K.
+68, ?, 353524, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+30, Private, 328734, 10th, 6, Never-married, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+21, Private, 112906, Assoc-voc, 11, Never-married, Other-service, Own-child, White, Female, 0, 0, 44, United-States, <=50K.
+27, Private, 155038, Some-college, 10, Never-married, Other-service, Own-child, Black, Male, 0, 0, 40, United-States, <=50K.
+26, Private, 100125, Assoc-acdm, 12, Divorced, Transport-moving, Unmarried, White, Female, 0, 0, 30, United-States, <=50K.
+26, State-gov, 177048, Some-college, 10, Married-civ-spouse, Protective-serv, Own-child, Black, Male, 0, 0, 40, United-States, <=50K.
+43, Private, 72338, Masters, 14, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, >50K.
+20, Private, 254547, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 35, Outlying-US(Guam-USVI-etc), <=50K.
+20, Local-gov, 186213, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 38, United-States, <=50K.
+39, Private, 270557, Masters, 14, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 50, United-States, >50K.
+48, Private, 41411, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K.
+36, Private, 116445, HS-grad, 9, Divorced, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+34, Self-emp-not-inc, 247540, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 1974, 30, United-States, <=50K.
+37, Private, 358753, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 5013, 0, 40, United-States, <=50K.
+37, Self-emp-not-inc, 156897, Prof-school, 15, Never-married, Prof-specialty, Own-child, White, Male, 0, 1564, 55, United-States, >50K.
+44, Self-emp-not-inc, 360879, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 1902, 80, United-States, >50K.
+51, Private, 256051, 11th, 7, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 1628, 40, United-States, <=50K.
+34, Private, 179877, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+29, Private, 266583, HS-grad, 9, Married-civ-spouse, Sales, Husband, Black, Male, 2829, 0, 38, United-States, <=50K.
+38, Private, 187711, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 43, United-States, >50K.
+34, Local-gov, 206707, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+63, Local-gov, 80655, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+47, Federal-gov, 409464, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+62, Private, 235997, 12th, 8, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 37, Mexico, <=50K.
+20, Private, 59948, HS-grad, 9, Never-married, Other-service, Own-child, Black, Female, 0, 0, 18, United-States, <=50K.
+30, Private, 323833, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K.
+53, Private, 290290, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 1590, 50, United-States, <=50K.
+20, ?, 291746, 12th, 8, Never-married, ?, Own-child, Black, Male, 0, 0, 40, United-States, <=50K.
+77, Private, 189173, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, <=50K.
+50, State-gov, 392668, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+61, Private, 132529, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+56, Private, 68080, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 50, ?, >50K.
+17, Private, 194717, 11th, 7, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 15, United-States, <=50K.
+43, Private, 307767, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+61, Private, 90051, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 3456, 0, 44, Canada, <=50K.
+77, State-gov, 267799, Doctorate, 16, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male, 0, 0, 4, United-States, >50K.
+49, Private, 81535, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 75, United-States, >50K.
+26, Self-emp-not-inc, 334267, Some-college, 10, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+30, Self-emp-not-inc, 55912, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+36, Private, 172706, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+35, Private, 240467, Some-college, 10, Separated, Transport-moving, Not-in-family, Black, Female, 0, 0, 40, United-States, >50K.
+23, Private, 186006, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 37, United-States, <=50K.
+38, Private, 65738, Assoc-voc, 11, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+40, Self-emp-not-inc, 192878, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+27, State-gov, 413870, Some-college, 10, Never-married, Exec-managerial, Own-child, Black, Male, 0, 0, 40, United-States, <=50K.
+45, Private, 176341, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 32, United-States, <=50K.
+66, ?, 28367, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+24, Private, 117210, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 36, United-States, <=50K.
+21, ?, 231286, Some-college, 10, Never-married, ?, Own-child, Black, Male, 0, 0, 25, Jamaica, <=50K.
+42, Private, 188465, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K.
+31, Local-gov, 253456, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K.
+54, Private, 140592, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+46, Private, 171335, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+29, State-gov, 73928, Bachelors, 13, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Female, 0, 0, 15, United-States, <=50K.
+24, Private, 161415, 11th, 7, Never-married, Other-service, Other-relative, White, Male, 0, 0, 35, United-States, <=50K.
+24, Private, 395297, Some-college, 10, Never-married, Other-service, Unmarried, White, Female, 0, 0, 30, Japan, <=50K.
+40, State-gov, 385357, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 72, United-States, >50K.
+45, State-gov, 160599, Assoc-acdm, 12, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+35, Private, 222450, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+61, ?, 38603, 7th-8th, 4, Divorced, ?, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K.
+50, Private, 178946, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K.
+36, Private, 106471, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+35, Private, 341643, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+25, Private, 97952, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, ?, <=50K.
+31, Private, 111567, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1848, 50, United-States, >50K.
+43, Local-gov, 201764, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K.
+30, Private, 153549, Bachelors, 13, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K.
+44, Local-gov, 264016, Bachelors, 13, Married-civ-spouse, Prof-specialty, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K.
+42, Private, 194636, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+64, State-gov, 184271, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K.
+23, Local-gov, 49296, Some-college, 10, Married-spouse-absent, Prof-specialty, Own-child, Black, Male, 0, 0, 40, United-States, <=50K.
+60, Private, 96099, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 4101, 0, 60, United-States, <=50K.
+18, Self-emp-not-inc, 304699, 10th, 6, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, England, <=50K.
+24, Private, 267181, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 35, United-States, <=50K.
+40, Private, 154076, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+17, Private, 98209, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 10, United-States, <=50K.
+33, Private, 92003, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+43, Private, 103759, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+56, Private, 269681, HS-grad, 9, Divorced, Transport-moving, Unmarried, White, Female, 0, 0, 35, United-States, <=50K.
+25, Private, 789600, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+25, Private, 152165, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+34, Private, 260560, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+40, Self-emp-inc, 214781, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 65, United-States, >50K.
+64, Private, 207188, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+41, Private, 246258, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+44, Private, 101563, Masters, 14, Divorced, Exec-managerial, Unmarried, White, Male, 7430, 0, 45, United-States, >50K.
+60, Private, 69955, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 4064, 0, 40, United-States, <=50K.
+25, Private, 124111, Bachelors, 13, Never-married, Sales, Own-child, White, Female, 0, 0, 36, ?, <=50K.
+38, Private, 237091, Some-college, 10, Married-spouse-absent, Other-service, Unmarried, White, Female, 0, 0, 36, Peru, <=50K.
+26, Private, 318644, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 35, United-States, <=50K.
+19, Private, 138917, Some-college, 10, Never-married, Sales, Own-child, Black, Female, 0, 0, 20, United-States, <=50K.
+31, Private, 97405, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+28, Private, 196674, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+25, Private, 405281, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+49, Private, 186256, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+44, Private, 120277, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+33, Private, 161035, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 49, United-States, <=50K.
+34, Private, 176244, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Other-relative, White, Female, 0, 0, 40, Mexico, <=50K.
+54, Private, 32454, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, >50K.
+39, Private, 346478, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K.
+43, Private, 196158, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 38, United-States, <=50K.
+42, Federal-gov, 208470, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+23, Private, 215616, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 37, United-States, <=50K.
+23, Private, 275357, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K.
+23, Self-emp-inc, 304871, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+54, Private, 99185, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 40, United-States, >50K.
+23, Private, 115085, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+58, Private, 82050, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, >50K.
+46, Private, 123681, Doctorate, 16, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+29, Private, 193152, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K.
+53, Private, 309466, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+77, Local-gov, 100883, 7th-8th, 4, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 8, Canada, <=50K.
+37, Private, 32528, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+18, Private, 245199, 10th, 6, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+36, Private, 72375, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 45, United-States, <=50K.
+34, Private, 117963, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 45, United-States, <=50K.
+45, Private, 160440, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K.
+64, Federal-gov, 113570, Assoc-acdm, 12, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+58, ?, 191830, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 55, United-States, <=50K.
+24, Private, 232328, 9th, 5, Divorced, Other-service, Own-child, White, Female, 0, 0, 35, United-States, <=50K.
+37, Private, 92028, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+48, Private, 138342, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1485, 55, United-States, >50K.
+42, Private, 197810, Some-college, 10, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+28, Private, 102142, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+31, Private, 104223, Bachelors, 13, Never-married, Sales, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+34, Private, 132835, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+31, Self-emp-not-inc, 109195, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 70, United-States, <=50K.
+33, Private, 203463, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+47, Local-gov, 33114, 11th, 7, Divorced, Handlers-cleaners, Unmarried, Amer-Indian-Eskimo, Male, 0, 0, 50, United-States, <=50K.
+27, Private, 187450, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+36, Private, 104213, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+31, Private, 257849, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+56, Private, 50490, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+18, Private, 85508, 12th, 8, Never-married, Sales, Own-child, White, Female, 0, 0, 12, United-States, <=50K.
+54, Self-emp-not-inc, 60449, Bachelors, 13, Widowed, Sales, Unmarried, White, Male, 0, 0, 60, United-States, <=50K.
+27, Local-gov, 131310, Some-college, 10, Married-civ-spouse, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+65, Self-emp-not-inc, 158177, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 10605, 0, 44, United-States, >50K.
+65, Private, 115922, 11th, 7, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 24, United-States, <=50K.
+21, Private, 403471, Some-college, 10, Never-married, Other-service, Own-child, Black, Female, 0, 0, 48, United-States, <=50K.
+22, Private, 176131, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+32, Private, 149531, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+42, Private, 262243, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, >50K.
+32, Private, 64658, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+21, Private, 127914, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K.
+49, Self-emp-inc, 182211, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K.
+30, Private, 48520, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 43, United-States, <=50K.
+20, Private, 403118, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 11, United-States, <=50K.
+55, Private, 119344, HS-grad, 9, Married-civ-spouse, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+46, Self-emp-not-inc, 334456, 9th, 5, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+31, Private, 263110, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+31, Self-emp-not-inc, 279015, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 40, United-States, >50K.
+58, Private, 195878, 5th-6th, 3, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, Mexico, <=50K.
+34, Private, 217652, 12th, 8, Divorced, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+65, Federal-gov, 44807, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 48, United-States, >50K.
+48, Private, 129777, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+28, ?, 195568, Some-college, 10, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 15, ?, >50K.
+44, Private, 227466, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, >50K.
+26, Private, 228457, 11th, 7, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+45, Self-emp-not-inc, 247053, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+19, Private, 188669, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 30, United-States, <=50K.
+45, Private, 40666, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, Italy, <=50K.
+57, ?, 190514, 9th, 5, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+36, Local-gov, 404661, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 40, United-States, >50K.
+45, Self-emp-not-inc, 39986, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 1740, 56, United-States, <=50K.
+43, Private, 175133, Some-college, 10, Divorced, Tech-support, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K.
+62, Private, 101375, 10th, 6, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+31, Private, 256680, Assoc-acdm, 12, Never-married, Exec-managerial, Other-relative, White, Female, 0, 0, 40, United-States, <=50K.
+46, State-gov, 136878, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+51, Private, 106151, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 44, ?, >50K.
+38, ?, 242221, HS-grad, 9, Never-married, ?, Unmarried, Black, Female, 0, 0, 38, United-States, <=50K.
+38, Private, 101387, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 43, United-States, <=50K.
+51, Private, 196828, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 0, 0, 38, United-States, >50K.
+20, ?, 195075, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 30, United-States, <=50K.
+22, Private, 333910, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 22, United-States, <=50K.
+46, Self-emp-not-inc, 103540, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+67, Self-emp-not-inc, 36876, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+55, Private, 158651, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, >50K.
+24, Private, 196943, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+41, Private, 184583, Some-college, 10, Divorced, Other-service, Unmarried, White, Male, 0, 0, 59, United-States, <=50K.
+33, Private, 244817, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+35, Private, 386726, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+56, Self-emp-inc, 373593, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 60, Italy, >50K.
+27, Private, 206199, HS-grad, 9, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+32, Private, 93283, Assoc-voc, 11, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+29, ?, 103628, Bachelors, 13, Married-spouse-absent, ?, Not-in-family, White, Female, 0, 0, 4, India, <=50K.
+21, Local-gov, 391936, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 25, United-States, <=50K.
+31, Local-gov, 168740, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 40, United-States, >50K.
+42, Private, 150568, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 45, United-States, <=50K.
+19, Private, 201178, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K.
+63, Private, 75813, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 60, United-States, >50K.
+34, Local-gov, 398988, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 18, United-States, <=50K.
+38, Private, 158363, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+19, Private, 81961, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+34, Private, 170017, HS-grad, 9, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+21, Private, 348092, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 40, Haiti, <=50K.
+27, Private, 54861, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 32, United-States, <=50K.
+63, Self-emp-not-inc, 74991, HS-grad, 9, Widowed, Farming-fishing, Unmarried, White, Male, 0, 0, 60, United-States, <=50K.
+25, Private, 106552, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 20, United-States, <=50K.
+51, Private, 27539, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+50, Private, 268913, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, Iran, <=50K.
+63, Private, 199888, HS-grad, 9, Divorced, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K.
+53, Private, 288216, Some-college, 10, Married-spouse-absent, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+18, Self-emp-inc, 378036, 12th, 8, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 10, United-States, <=50K.
+41, Private, 127314, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 5178, 0, 40, United-States, >50K.
+32, Private, 115963, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+19, Private, 332928, 11th, 7, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+41, Self-emp-not-inc, 178510, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+29, Private, 53147, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, Black, Male, 0, 0, 37, United-States, <=50K.
+66, Private, 115880, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 3818, 0, 40, United-States, <=50K.
+57, Private, 375502, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K.
+49, Self-emp-not-inc, 155659, 5th-6th, 3, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, >50K.
+36, Private, 122240, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+33, Private, 112305, Assoc-voc, 11, Never-married, Other-service, Unmarried, White, Female, 0, 0, 10, United-States, <=50K.
+46, Federal-gov, 35136, 11th, 7, Never-married, Other-service, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K.
+27, Private, 215423, Bachelors, 13, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 16, United-States, <=50K.
+24, Private, 116358, HS-grad, 9, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Male, 0, 2339, 40, Philippines, <=50K.
+17, Private, 171461, 10th, 6, Never-married, Sales, Own-child, White, Female, 0, 0, 14, United-States, <=50K.
+32, Private, 131584, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+40, Self-emp-inc, 29520, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 65, United-States, <=50K.
+35, Local-gov, 246463, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+22, Private, 32616, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 30, United-States, <=50K.
+41, Private, 144144, HS-grad, 9, Never-married, Handlers-cleaners, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K.
+75, ?, 222789, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 9, United-States, <=50K.
+22, Private, 227594, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+45, Local-gov, 375606, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+46, Private, 180532, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K.
+50, State-gov, 54342, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+31, Private, 208798, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+47, Local-gov, 377401, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+36, Self-emp-not-inc, 110861, HS-grad, 9, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 20, United-States, <=50K.
+42, Private, 144594, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+23, Private, 129345, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+28, Private, 424340, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Male, 0, 0, 40, United-States, <=50K.
+44, Private, 187702, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K.
+47, State-gov, 293917, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K.
+61, Private, 160143, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 45, United-States, >50K.
+50, Private, 345450, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+54, State-gov, 180881, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+18, Private, 102690, 11th, 7, Never-married, Machine-op-inspct, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K.
+46, Private, 265371, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+44, Private, 167333, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+50, Self-emp-inc, 447144, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+32, Private, 280077, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K.
+48, Private, 143920, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K.
+40, Private, 190507, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, >50K.
+34, Self-emp-not-inc, 59469, 11th, 7, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 72, United-States, <=50K.
+31, Private, 74501, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+43, Self-emp-inc, 215458, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 99999, 0, 45, United-States, >50K.
+33, Private, 281685, Assoc-voc, 11, Separated, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+62, Private, 78273, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K.
+44, Private, 105475, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Other, Male, 0, 0, 40, Puerto-Rico, <=50K.
+55, Private, 174260, HS-grad, 9, Widowed, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+42, Self-emp-inc, 149102, Assoc-voc, 11, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+42, Private, 188331, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 15024, 0, 40, United-States, >50K.
+23, Private, 864960, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+63, Private, 154526, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+23, Private, 60783, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+32, Private, 186269, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 2907, 0, 35, United-States, <=50K.
+30, Private, 398019, 1st-4th, 2, Separated, Priv-house-serv, Other-relative, White, Female, 0, 0, 30, Mexico, <=50K.
+50, Federal-gov, 237503, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+19, Private, 93762, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+40, Private, 59916, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+45, Private, 203264, HS-grad, 9, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+51, Self-emp-not-inc, 299119, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K.
+29, Federal-gov, 114072, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 46, United-States, >50K.
+18, ?, 167875, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 16, United-States, <=50K.
+64, Private, 130525, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K.
+58, Private, 71283, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 38, United-States, >50K.
+43, Local-gov, 85440, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K.
+27, Private, 136077, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+40, Private, 222434, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, Canada, >50K.
+25, Private, 138111, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 2174, 0, 40, United-States, <=50K.
+27, Private, 225746, Bachelors, 13, Never-married, Adm-clerical, Own-child, Black, Male, 0, 0, 35, United-States, <=50K.
+54, Private, 240358, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, Jamaica, <=50K.
+25, Private, 139863, 1st-4th, 2, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K.
+39, Private, 278632, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+51, Self-emp-not-inc, 71046, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, >50K.
+29, Private, 312985, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2129, 50, United-States, <=50K.
+49, Federal-gov, 276309, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+29, ?, 199116, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 2407, 0, 40, Dominican-Republic, <=50K.
+39, Private, 52870, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 30, United-States, <=50K.
+51, State-gov, 79324, Doctorate, 16, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K.
+50, Private, 188882, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+39, Federal-gov, 72338, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, >50K.
+23, ?, 234108, Bachelors, 13, Never-married, ?, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K.
+24, Private, 113936, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K.
+43, Private, 182521, Prof-school, 15, Divorced, Prof-specialty, Unmarried, White, Female, 15020, 0, 35, United-States, >50K.
+60, Private, 124198, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 4386, 0, 84, United-States, >50K.
+20, Private, 228960, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+60, Self-emp-not-inc, 176360, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+35, Private, 178649, Bachelors, 13, Divorced, Prof-specialty, Unmarried, Asian-Pac-Islander, Female, 0, 0, 36, Philippines, <=50K.
+41, Private, 338740, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K.
+31, Private, 205659, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+59, Private, 258883, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+45, Private, 196638, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K.
+43, Self-emp-not-inc, 95246, Prof-school, 15, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 5, United-States, >50K.
+20, ?, 216672, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 30, United-States, <=50K.
+25, Private, 61956, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 4650, 0, 45, United-States, <=50K.
+33, Private, 157216, Masters, 14, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+68, ?, 150250, Masters, 14, Married-civ-spouse, ?, Husband, White, Male, 0, 1510, 30, United-States, <=50K.
+37, Private, 112838, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K.
+31, State-gov, 158688, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K.
+31, State-gov, 227864, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+31, Private, 173858, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Other-relative, Asian-Pac-Islander, Male, 0, 1902, 40, China, <=50K.
+51, Private, 30012, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 80, United-States, <=50K.
+20, ?, 50163, Some-college, 10, Never-married, ?, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K.
+50, State-gov, 143822, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 40, United-States, >50K.
+19, ?, 497414, 7th-8th, 4, Married-spouse-absent, ?, Not-in-family, White, Female, 0, 0, 35, Mexico, <=50K.
+30, Private, 235109, Assoc-voc, 11, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+32, Private, 339196, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+61, Private, 181028, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 18, United-States, <=50K.
+43, Private, 59460, Bachelors, 13, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+21, Private, 97212, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 2001, 25, United-States, <=50K.
+32, Private, 103642, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+41, Private, 70447, Some-college, 10, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 60, United-States, <=50K.
+27, Private, 321456, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 10, Germany, <=50K.
+23, Private, 126613, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 30, United-States, <=50K.
+52, Self-emp-not-inc, 149508, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 48, United-States, >50K.
+38, Private, 332154, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 60, United-States, >50K.
+18, ?, 471876, HS-grad, 9, Never-married, ?, Own-child, White, Female, 0, 0, 15, United-States, <=50K.
+25, Private, 140669, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+38, Private, 107164, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K.
+39, Private, 225707, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, Cuba, <=50K.
+64, Self-emp-inc, 56588, Some-college, 10, Widowed, Exec-managerial, Unmarried, White, Female, 0, 0, 70, United-States, <=50K.
+31, Self-emp-inc, 183125, Prof-school, 15, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 99, United-States, >50K.
+56, Private, 177368, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 7298, 0, 45, United-States, >50K.
+40, Private, 218653, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+39, Private, 191137, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+50, Private, 181585, Some-college, 10, Separated, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+23, Private, 142566, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+41, Self-emp-inc, 220821, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 70, United-States, >50K.
+37, Private, 280966, Bachelors, 13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K.
+52, Private, 153155, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 15024, 0, 40, United-States, >50K.
+29, Private, 195446, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+62, Private, 77884, 1st-4th, 2, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K.
+41, Private, 99373, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+47, Private, 118729, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, >50K.
+25, Private, 108414, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+22, Private, 198366, HS-grad, 9, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 20, United-States, <=50K.
+42, Private, 238384, HS-grad, 9, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 36, United-States, <=50K.
+27, Private, 214695, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+33, Private, 120420, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+37, Private, 186934, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K.
+29, Self-emp-not-inc, 100368, 9th, 5, Widowed, Other-service, Unmarried, White, Female, 0, 0, 27, United-States, <=50K.
+49, Private, 723746, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 43, United-States, <=50K.
+67, ?, 427422, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 2414, 0, 16, United-States, <=50K.
+44, Private, 54271, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+47, Private, 189680, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Italy, >50K.
+49, Private, 230796, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+37, State-gov, 195843, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 5013, 0, 40, United-States, <=50K.
+41, Private, 109912, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 15024, 0, 50, England, >50K.
+19, Private, 42069, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+22, Private, 335950, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 70, United-States, <=50K.
+45, Private, 163174, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 4386, 0, 40, United-States, >50K.
+24, Private, 81145, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K.
+67, Local-gov, 312052, 7th-8th, 4, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+28, Private, 209934, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, Mexico, <=50K.
+22, ?, 269221, Assoc-acdm, 12, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+57, Private, 322691, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+68, Private, 99849, HS-grad, 9, Widowed, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 28, United-States, <=50K.
+23, ?, 213004, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 1719, 30, United-States, <=50K.
+49, Private, 182313, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+42, Private, 201505, Masters, 14, Never-married, Sales, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K.
+61, Self-emp-not-inc, 227119, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+47, Private, 202395, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+22, Private, 170583, 11th, 7, Never-married, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K.
+58, State-gov, 21838, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 50, United-States, >50K.
+50, Self-emp-inc, 68898, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 60, United-States, >50K.
+34, Private, 226702, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+59, ?, 168079, HS-grad, 9, Divorced, ?, Unmarried, White, Female, 0, 0, 35, United-States, <=50K.
+42, Self-emp-inc, 173628, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+20, Private, 164529, 11th, 7, Never-married, Farming-fishing, Own-child, Black, Male, 0, 0, 40, United-States, <=50K.
+27, Self-emp-not-inc, 301514, Some-college, 10, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Vietnam, <=50K.
+50, Private, 194580, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K.
+63, Private, 165611, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 40, United-States, >50K.
+32, Private, 96480, Some-college, 10, Never-married, Protective-serv, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+37, State-gov, 224700, Assoc-voc, 11, Divorced, Protective-serv, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K.
+63, Self-emp-not-inc, 141962, 10th, 6, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K.
+22, Private, 377815, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 20, United-States, <=50K.
+24, Private, 271379, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K.
+40, Private, 421837, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+36, Private, 77953, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K.
+30, Self-emp-not-inc, 345122, Some-college, 10, Divorced, Prof-specialty, Unmarried, White, Male, 0, 0, 50, United-States, <=50K.
+38, ?, 172855, 11th, 7, Divorced, ?, Unmarried, Black, Female, 0, 0, 20, United-States, <=50K.
+34, Private, 87131, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Guatemala, <=50K.
+21, Private, 328906, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K.
+56, Private, 21626, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Male, 0, 0, 43, United-States, <=50K.
+38, Private, 143909, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+32, Private, 178835, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Male, 2174, 0, 40, United-States, <=50K.
+45, Private, 94809, Some-college, 10, Married-spouse-absent, Other-service, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K.
+64, Local-gov, 172768, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+30, Self-emp-inc, 204742, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+32, Self-emp-inc, 144949, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 70, United-States, >50K.
+26, Private, 195562, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, Black, Male, 0, 0, 40, United-States, <=50K.
+46, Self-emp-not-inc, 56482, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 30, United-States, >50K.
+55, Federal-gov, 36314, 7th-8th, 4, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 72, United-States, <=50K.
+51, Self-emp-not-inc, 329980, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 8, United-States, >50K.
+62, Local-gov, 103344, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+34, Local-gov, 169708, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K.
+54, Local-gov, 249949, Some-college, 10, Divorced, Exec-managerial, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K.
+35, Self-emp-not-inc, 186934, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+28, Private, 692831, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, Black, Male, 0, 0, 48, United-States, <=50K.
+17, Private, 154078, 12th, 8, Never-married, Other-service, Own-child, White, Female, 0, 0, 16, United-States, <=50K.
+22, Private, 91733, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 35, United-States, <=50K.
+67, Self-emp-inc, 325373, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, <=50K.
+43, Self-emp-not-inc, 160369, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K.
+57, Local-gov, 196126, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K.
+38, Private, 120053, HS-grad, 9, Divorced, Priv-house-serv, Unmarried, White, Female, 0, 0, 35, United-States, <=50K.
+19, Private, 204337, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K.
+34, Private, 128016, HS-grad, 9, Never-married, Tech-support, Other-relative, White, Female, 0, 0, 40, United-States, <=50K.
+50, ?, 199301, Assoc-voc, 11, Never-married, ?, Unmarried, Black, Female, 0, 0, 16, United-States, <=50K.
+33, Private, 49027, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+18, Private, 192022, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K.
+40, Private, 147099, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 5, United-States, <=50K.
+32, Private, 334744, HS-grad, 9, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+25, Private, 207621, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+29, Private, 194458, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+33, Self-emp-inc, 184245, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, Mexico, >50K.
+34, Private, 242704, HS-grad, 9, Never-married, Tech-support, Own-child, Black, Male, 0, 0, 40, United-States, <=50K.
+21, ?, 278130, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+23, Private, 251073, 10th, 6, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+21, Private, 153209, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+42, Private, 360879, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+32, Private, 115066, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+31, Private, 409172, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+63, Private, 223637, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 50, United-States, <=50K.
+36, Private, 161141, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K.
+34, Private, 535869, Some-college, 10, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 30, United-States, <=50K.
+60, Federal-gov, 49921, 9th, 5, Divorced, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K.
+23, Private, 335067, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K.
+47, Self-emp-inc, 209460, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 4386, 0, 40, United-States, >50K.
+20, Private, 355236, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 16, United-States, <=50K.
+50, Private, 240374, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+29, Private, 221428, 12th, 8, Married-civ-spouse, Sales, Own-child, Other, Male, 0, 0, 35, United-States, <=50K.
+37, Private, 356250, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, South, <=50K.
+20, Private, 356347, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 10, United-States, <=50K.
+50, Private, 245356, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+31, Self-emp-not-inc, 247088, HS-grad, 9, Separated, Craft-repair, Own-child, Black, Male, 0, 0, 50, United-States, <=50K.
+27, ?, 200381, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+35, Private, 300333, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, Dominican-Republic, >50K.
+38, Private, 109594, Bachelors, 13, Divorced, Sales, Not-in-family, White, Female, 0, 0, 70, United-States, >50K.
+24, Local-gov, 221480, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+29, Private, 433624, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+27, Private, 179681, Assoc-voc, 11, Married-spouse-absent, Tech-support, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+21, Local-gov, 136208, Some-college, 10, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 48, United-States, <=50K.
+64, Private, 159715, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 10566, 0, 40, United-States, <=50K.
+33, Private, 164683, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+35, Private, 152307, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+51, Private, 256908, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+23, Private, 227943, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+75, ?, 33673, Masters, 14, Widowed, ?, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 26, United-States, <=50K.
+26, Private, 116991, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+64, Private, 96076, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+32, Self-emp-inc, 201314, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+17, Private, 153021, 12th, 8, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+34, State-gov, 334422, Some-college, 10, Divorced, Protective-serv, Unmarried, Black, Male, 0, 0, 47, United-States, <=50K.
+37, Private, 160192, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+72, ?, 51216, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 14, United-States, <=50K.
+47, Private, 323212, Some-college, 10, Separated, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K.
+45, Self-emp-inc, 179030, Bachelors, 13, Married-civ-spouse, Other-service, Other-relative, Asian-Pac-Islander, Female, 0, 0, 35, South, <=50K.
+23, Private, 129345, 10th, 6, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+36, Private, 31023, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+62, Self-emp-inc, 164616, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 45, United-States, >50K.
+34, Federal-gov, 121093, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 53, United-States, >50K.
+36, Private, 300373, 10th, 6, Divorced, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+35, Private, 95708, Bachelors, 13, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 7688, 0, 60, United-States, >50K.
+36, State-gov, 235779, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+29, Private, 114158, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+54, Private, 192226, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K.
+38, Private, 166416, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+27, Private, 211215, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+26, Private, 157617, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 45, United-States, <=50K.
+44, Private, 96170, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 20, United-States, <=50K.
+26, Private, 224045, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K.
+42, Private, 350550, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+37, Self-emp-not-inc, 114719, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 60, United-States, >50K.
+26, Private, 124111, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K.
+36, Private, 250224, HS-grad, 9, Married-civ-spouse, Craft-repair, Own-child, Black, Female, 0, 0, 40, United-States, <=50K.
+19, ?, 232060, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+44, Private, 195258, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+23, Private, 285775, HS-grad, 9, Never-married, Protective-serv, Other-relative, White, Male, 0, 0, 42, United-States, <=50K.
+27, Private, 146687, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+53, Private, 76128, HS-grad, 9, Divorced, Craft-repair, Not-in-family, Other, Male, 0, 0, 60, Ecuador, <=50K.
+28, Private, 241607, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+22, Private, 273675, HS-grad, 9, Married-spouse-absent, Other-service, Other-relative, Black, Female, 0, 0, 35, Puerto-Rico, <=50K.
+29, Private, 210867, 11th, 7, Separated, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+41, Private, 144752, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, >50K.
+34, Private, 185820, HS-grad, 9, Married-civ-spouse, Sales, Wife, Black, Female, 0, 0, 40, United-States, <=50K.
+42, Private, 252518, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 70, ?, <=50K.
+30, Private, 123833, 9th, 5, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+41, Private, 291569, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 43, United-States, <=50K.
+37, Private, 638116, Bachelors, 13, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 32, United-States, <=50K.
+46, Private, 269045, 11th, 7, Widowed, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+46, Private, 102852, 7th-8th, 4, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+30, Private, 195447, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K.
+27, Private, 173944, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+25, Private, 276728, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, Black, Female, 0, 0, 43, United-States, <=50K.
+21, State-gov, 173534, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, Ecuador, <=50K.
+23, Private, 198368, Assoc-acdm, 12, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+18, Private, 27620, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K.
+46, Local-gov, 192235, 11th, 7, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+27, Private, 467936, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 48, Mexico, <=50K.
+25, Private, 264136, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K.
+61, Self-emp-not-inc, 184009, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 2444, 50, United-States, >50K.
+50, Private, 165001, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+66, Private, 123484, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+26, Private, 123384, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 20, United-States, <=50K.
+50, Self-emp-inc, 235307, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 48, United-States, >50K.
+41, Private, 238384, HS-grad, 9, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+43, Self-emp-not-inc, 171351, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 20, United-States, <=50K.
+38, State-gov, 162424, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+20, Private, 333838, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 35, United-States, <=50K.
+58, Private, 100303, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 42, United-States, >50K.
+41, Federal-gov, 58447, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 50, United-States, >50K.
+43, Local-gov, 317185, Assoc-voc, 11, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 36, United-States, <=50K.
+39, Private, 103323, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 1669, 40, United-States, <=50K.
+22, Private, 221694, Some-college, 10, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K.
+52, Private, 214091, HS-grad, 9, Widowed, Other-service, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K.
+35, ?, 171062, Bachelors, 13, Never-married, ?, Not-in-family, Black, Male, 0, 0, 40, England, <=50K.
+46, Private, 278200, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+20, Private, 187592, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+55, Private, 188382, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, >50K.
+48, Private, 65584, Some-college, 10, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+22, ?, 117789, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+30, Private, 402089, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K.
+40, Private, 69730, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+44, Private, 34218, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+55, Federal-gov, 54566, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+53, Private, 698039, Bachelors, 13, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 28, United-States, <=50K.
+57, ?, 76571, 10th, 6, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+57, Private, 133201, 7th-8th, 4, Divorced, Craft-repair, Unmarried, White, Male, 0, 1408, 40, France, <=50K.
+47, Federal-gov, 146786, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+46, ?, 96154, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 15, United-States, <=50K.
+64, State-gov, 143880, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+18, Private, 132397, 12th, 8, Never-married, Other-service, Own-child, Black, Female, 0, 0, 18, United-States, <=50K.
+28, ?, 45613, Some-college, 10, Never-married, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+25, Private, 136226, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+37, Self-emp-not-inc, 334291, Bachelors, 13, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+33, Private, 183017, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 32, United-States, <=50K.
+66, Private, 207917, 7th-8th, 4, Married-civ-spouse, Other-service, Husband, Black, Male, 1797, 0, 20, United-States, <=50K.
+65, ?, 136431, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 9386, 0, 40, United-States, >50K.
+37, Private, 80303, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K.
+19, Private, 210509, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 30, United-States, <=50K.
+37, ?, 48915, HS-grad, 9, Never-married, ?, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K.
+41, Private, 91316, Assoc-acdm, 12, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+41, Private, 205670, HS-grad, 9, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+76, Private, 25319, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 8, United-States, <=50K.
+52, Private, 264129, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+23, Private, 40165, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, Japan, <=50K.
+43, Federal-gov, 79529, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 35, United-States, <=50K.
+32, Private, 164519, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K.
+33, Private, 184178, Assoc-acdm, 12, Married-civ-spouse, Other-service, Wife, Black, Female, 0, 0, 35, United-States, <=50K.
+33, State-gov, 427812, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 15, Mexico, <=50K.
+59, Self-emp-not-inc, 172618, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+21, Private, 472861, 11th, 7, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 40, United-States, <=50K.
+40, Private, 114157, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+22, Self-emp-not-inc, 104164, Assoc-voc, 11, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K.
+45, Self-emp-not-inc, 180680, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K.
+28, Private, 300915, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 43, United-States, >50K.
+38, Private, 308171, Some-college, 10, Separated, Tech-support, Unmarried, Black, Female, 0, 0, 50, United-States, <=50K.
+56, Private, 320833, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+42, ?, 167710, Some-college, 10, Divorced, ?, Not-in-family, White, Female, 0, 0, 18, United-States, <=50K.
+19, Private, 228577, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 36, United-States, <=50K.
+48, Self-emp-not-inc, 221464, 11th, 7, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 30, United-States, >50K.
+31, Self-emp-not-inc, 213307, 10th, 6, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 28, Mexico, <=50K.
+42, Private, 165815, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+37, Private, 248919, 1st-4th, 2, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 66, Mexico, <=50K.
+23, ?, 116934, 10th, 6, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+60, Self-emp-not-inc, 285365, Some-college, 10, Married-civ-spouse, Other-service, Wife, Black, Female, 0, 0, 50, United-States, <=50K.
+63, Private, 134960, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, Scotland, <=50K.
+24, Private, 449101, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+42, Private, 46019, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male, 5178, 0, 50, United-States, >50K.
+71, ?, 161027, Masters, 14, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 8, United-States, >50K.
+32, State-gov, 19513, Masters, 14, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, Japan, <=50K.
+57, Self-emp-not-inc, 258121, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+56, Private, 242782, HS-grad, 9, Widowed, Sales, Not-in-family, White, Female, 0, 0, 44, United-States, <=50K.
+65, ?, 193365, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+42, Private, 182402, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1887, 50, United-States, >50K.
+24, Private, 254767, 11th, 7, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+31, Private, 112115, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+58, Private, 117299, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K.
+44, Private, 214781, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K.
+33, Private, 197474, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, <=50K.
+24, ?, 234791, Some-college, 10, Divorced, ?, Unmarried, White, Female, 0, 0, 25, United-States, <=50K.
+34, Local-gov, 126584, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+72, Self-emp-not-inc, 28865, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 14, United-States, <=50K.
+61, Private, 163729, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+33, Private, 218407, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 80, Columbia, >50K.
+58, Private, 95428, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+57, Self-emp-inc, 146103, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 30, United-States, >50K.
+25, Private, 150312, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+72, Private, 76206, 9th, 5, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 16, United-States, <=50K.
+23, Private, 340543, HS-grad, 9, Separated, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+40, Private, 125461, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+38, Private, 218015, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, >50K.
+49, Private, 178160, Assoc-acdm, 12, Widowed, Sales, Not-in-family, White, Female, 0, 0, 40, Germany, <=50K.
+25, Private, 169905, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+33, Private, 226629, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+28, Private, 180313, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+18, ?, 236276, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 20, United-States, <=50K.
+71, Private, 124901, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+63, Local-gov, 214275, HS-grad, 9, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 55, United-States, <=50K.
+49, Local-gov, 371886, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 56, United-States, >50K.
+65, Private, 282779, Masters, 14, Married-civ-spouse, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, >50K.
+22, Private, 218415, Some-college, 10, Never-married, Tech-support, Unmarried, White, Female, 0, 0, 50, United-States, <=50K.
+45, Private, 105431, HS-grad, 9, Divorced, Farming-fishing, Unmarried, Black, Female, 0, 0, 39, United-States, <=50K.
+32, ?, 373231, Some-college, 10, Never-married, ?, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+29, Private, 59792, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, Taiwan, <=50K.
+44, Private, 75742, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+64, Private, 186731, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+22, Private, 310197, 7th-8th, 4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+64, Private, 73413, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+39, Private, 175232, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+35, Private, 338948, HS-grad, 9, Divorced, Craft-repair, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K.
+22, Private, 95647, 11th, 7, Never-married, Transport-moving, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K.
+43, Self-emp-inc, 677398, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K.
+26, Self-emp-not-inc, 263300, Assoc-acdm, 12, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 75, United-States, <=50K.
+47, Federal-gov, 218325, Assoc-acdm, 12, Married-civ-spouse, Handlers-cleaners, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, >50K.
+37, Local-gov, 156261, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 50, United-States, >50K.
+25, Private, 165817, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+41, Private, 304605, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K.
+39, Self-emp-not-inc, 245361, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 10, United-States, <=50K.
+45, Federal-gov, 230685, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+18, ?, 184502, 11th, 7, Never-married, ?, Own-child, Black, Male, 0, 0, 30, United-States, <=50K.
+37, Local-gov, 116736, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+30, Private, 178952, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+34, Private, 156266, 11th, 7, Married-civ-spouse, Farming-fishing, Husband, Amer-Indian-Eskimo, Male, 0, 0, 60, United-States, <=50K.
+22, Private, 163519, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 25, United-States, <=50K.
+18, Private, 296090, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 30, United-States, <=50K.
+22, Private, 119742, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+55, Private, 269763, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 10, United-States, <=50K.
+56, Private, 287833, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 35, United-States, >50K.
+19, ?, 190093, 12th, 8, Never-married, ?, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+74, Self-emp-inc, 148003, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 6, United-States, >50K.
+18, Private, 131414, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+39, Private, 172571, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+33, Local-gov, 184440, 12th, 8, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 36, United-States, <=50K.
+28, Private, 216479, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+38, Private, 293475, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+53, Federal-gov, 109982, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+44, Self-emp-not-inc, 205033, 12th, 8, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K.
+32, Local-gov, 56658, HS-grad, 9, Never-married, Transport-moving, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K.
+58, Private, 159008, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1887, 40, United-States, >50K.
+28, Private, 37302, HS-grad, 9, Divorced, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+33, Local-gov, 107417, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+33, Private, 236379, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K.
+51, Private, 57637, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K.
+51, Private, 276214, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+39, Self-emp-not-inc, 113749, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+32, Private, 100837, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 2002, 66, United-States, <=50K.
+45, Private, 239058, Bachelors, 13, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 45, United-States, <=50K.
+19, Private, 286419, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 20, United-States, <=50K.
+52, ?, 50934, Assoc-acdm, 12, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 20, United-States, >50K.
+21, Private, 283969, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, Mexico, <=50K.
+76, Private, 152839, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 20, United-States, <=50K.
+46, Local-gov, 32290, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+27, Private, 204373, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K.
+51, Private, 126528, HS-grad, 9, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K.
+19, Private, 245408, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+30, State-gov, 127610, Assoc-voc, 11, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+46, Private, 132919, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 12, United-States, >50K.
+68, Private, 58547, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1735, 48, United-States, <=50K.
+36, Private, 251091, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K.
+71, Private, 149950, HS-grad, 9, Widowed, Priv-house-serv, Unmarried, White, Female, 0, 0, 20, United-States, <=50K.
+32, Private, 464621, Some-college, 10, Never-married, Farming-fishing, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K.
+43, Private, 170230, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+33, Private, 100294, HS-grad, 9, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+24, Local-gov, 234108, Some-college, 10, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+38, Private, 33046, Assoc-voc, 11, Divorced, Other-service, Unmarried, White, Female, 0, 0, 36, United-States, <=50K.
+76, Private, 84428, Some-college, 10, Widowed, Sales, Not-in-family, Asian-Pac-Islander, Female, 2062, 0, 37, United-States, <=50K.
+35, Self-emp-not-inc, 107662, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 5, Canada, <=50K.
+23, Private, 220874, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+46, Local-gov, 88564, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+44, Self-emp-inc, 144778, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+17, ?, 179861, 10th, 6, Never-married, ?, Own-child, White, Male, 0, 0, 10, Poland, <=50K.
+30, Private, 166671, HS-grad, 9, Married-civ-spouse, Other-service, Other-relative, White, Female, 0, 0, 40, United-States, <=50K.
+51, Private, 97180, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 15, United-States, <=50K.
+18, Self-emp-not-inc, 194091, 11th, 7, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 24, United-States, <=50K.
+23, Private, 308498, 10th, 6, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 18, United-States, <=50K.
+53, Federal-gov, 321865, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+25, Private, 181814, Some-college, 10, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K.
+44, Private, 374423, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 1902, 40, United-States, >50K.
+49, Private, 213668, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K.
+28, Private, 213236, HS-grad, 9, Separated, Other-service, Unmarried, White, Male, 0, 0, 40, Dominican-Republic, <=50K.
+58, Self-emp-not-inc, 115439, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K.
+36, Private, 124111, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 35, United-States, <=50K.
+32, Private, 176185, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 4787, 0, 40, United-States, >50K.
+26, Private, 211231, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K.
+25, Private, 259715, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+19, Private, 248600, 10th, 6, Never-married, Other-service, Other-relative, White, Female, 34095, 0, 24, United-States, <=50K.
+39, Private, 153997, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 1902, 40, Puerto-Rico, >50K.
+44, Private, 67779, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+32, Private, 236861, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 42, United-States, <=50K.
+57, Private, 367334, HS-grad, 9, Separated, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+64, Private, 213391, 9th, 5, Married-civ-spouse, Other-service, Wife, Black, Female, 0, 0, 40, United-States, <=50K.
+46, Local-gov, 301124, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 1564, 45, United-States, >50K.
+37, Private, 184117, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+22, Private, 233923, Assoc-voc, 11, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+30, Private, 348592, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+33, Local-gov, 111817, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+32, Private, 170983, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+23, Self-emp-not-inc, 121407, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 35, United-States, <=50K.
+40, Local-gov, 210275, HS-grad, 9, Never-married, Adm-clerical, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K.
+21, Private, 116358, HS-grad, 9, Never-married, Other-service, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K.
+48, Private, 189123, Masters, 14, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+41, Private, 48087, Bachelors, 13, Divorced, Machine-op-inspct, Not-in-family, White, Male, 2354, 0, 40, United-States, <=50K.
+37, Private, 179488, 10th, 6, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+30, Local-gov, 370990, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K.
+49, Private, 169760, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 50, United-States, >50K.
+38, State-gov, 34493, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+61, Private, 185584, Bachelors, 13, Widowed, Machine-op-inspct, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, ?, <=50K.
+44, Private, 324311, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 32, Mexico, <=50K.
+62, Self-emp-not-inc, 96299, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K.
+47, Private, 147322, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, Columbia, <=50K.
+35, Private, 135289, Assoc-voc, 11, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+44, State-gov, 128586, Bachelors, 13, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+30, State-gov, 185590, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+28, Self-emp-not-inc, 107458, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 45, United-States, <=50K.
+57, Private, 151874, HS-grad, 9, Married-civ-spouse, Other-service, Wife, Black, Female, 0, 0, 50, United-States, <=50K.
+26, State-gov, 413846, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+38, Private, 203836, Assoc-voc, 11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 48, United-States, >50K.
+44, Self-emp-not-inc, 110028, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+35, Private, 57640, 7th-8th, 4, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+40, State-gov, 67874, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 58, United-States, <=50K.
+50, Self-emp-not-inc, 169112, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 25, United-States, <=50K.
+37, Self-emp-inc, 154410, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, >50K.
+26, Private, 63234, Bachelors, 13, Married-civ-spouse, Tech-support, Wife, White, Female, 4508, 0, 12, United-States, <=50K.
+64, Private, 121036, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, >50K.
+30, Private, 408328, Preschool, 1, Married-spouse-absent, Handlers-cleaners, Unmarried, White, Male, 0, 0, 40, Mexico, <=50K.
+29, Private, 269254, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+28, Private, 115438, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, >50K.
+28, Private, 332249, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K.
+33, State-gov, 160261, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K.
+24, Private, 167316, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K.
+26, State-gov, 291586, HS-grad, 9, Divorced, Transport-moving, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+77, Self-emp-not-inc, 184046, Bachelors, 13, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K.
+25, Federal-gov, 178025, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 9, United-States, <=50K.
+53, Private, 104280, 12th, 8, Married-civ-spouse, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, United-States, <=50K.
+38, Private, 302604, 11th, 7, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 44, United-States, <=50K.
+30, Private, 225243, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 47, United-States, >50K.
+39, Self-emp-not-inc, 327120, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Portugal, <=50K.
+51, Self-emp-not-inc, 43878, Doctorate, 16, Divorced, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, >50K.
+25, ?, 40915, Bachelors, 13, Married-spouse-absent, ?, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K.
+49, Self-emp-inc, 83444, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 85, United-States, >50K.
+51, Private, 351416, Some-college, 10, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+47, Self-emp-not-inc, 117310, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 1876, 48, United-States, <=50K.
+36, Private, 324231, 9th, 5, Never-married, Farming-fishing, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+62, Private, 161802, 1st-4th, 2, Married-civ-spouse, Priv-house-serv, Wife, Black, Female, 0, 0, 30, United-States, <=50K.
+40, Self-emp-not-inc, 184804, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 2205, 45, United-States, <=50K.
+30, Federal-gov, 547931, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+39, Private, 46395, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+47, Local-gov, 182313, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+28, Local-gov, 169069, HS-grad, 9, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+23, Private, 203182, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+57, Private, 142924, Bachelors, 13, Separated, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+33, Private, 180656, 5th-6th, 3, Never-married, Machine-op-inspct, Other-relative, White, Male, 0, 0, 40, Guatemala, <=50K.
+58, Private, 187485, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 24, United-States, <=50K.
+84, ?, 157778, Some-college, 10, Widowed, ?, Not-in-family, White, Female, 0, 0, 6, United-States, <=50K.
+46, Self-emp-not-inc, 149337, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K.
+23, Private, 97054, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, <=50K.
+32, Private, 377017, Bachelors, 13, Never-married, Sales, Other-relative, White, Male, 0, 0, 32, United-States, <=50K.
+43, Private, 106900, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+34, Private, 378723, 10th, 6, Separated, Exec-managerial, Unmarried, White, Female, 0, 0, 45, United-States, <=50K.
+23, Private, 209955, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+38, Private, 312766, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K.
+59, Private, 70857, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K.
+22, Private, 238917, 11th, 7, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, El-Salvador, <=50K.
+50, State-gov, 53497, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 46, United-States, >50K.
+44, Private, 283174, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K.
+60, ?, 190497, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+56, State-gov, 104447, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 2339, 40, United-States, <=50K.
+36, Private, 73023, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 2202, 0, 40, United-States, <=50K.
+20, Private, 177896, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K.
+38, Self-emp-not-inc, 349951, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 4508, 0, 55, United-States, <=50K.
+29, Private, 80179, HS-grad, 9, Separated, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+32, State-gov, 308955, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 20, United-States, <=50K.
+36, Private, 126896, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 35, United-States, <=50K.
+19, State-gov, 116385, Assoc-acdm, 12, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 18, United-States, <=50K.
+37, State-gov, 172425, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+22, Private, 106615, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 15, United-States, <=50K.
+42, Private, 261929, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K.
+22, Private, 163870, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 20, United-States, <=50K.
+35, Self-emp-inc, 242080, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 45, United-States, >50K.
+21, Private, 30796, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K.
+43, Self-emp-not-inc, 207578, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 42, United-States, >50K.
+22, ?, 140001, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+18, Private, 217942, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 24, United-States, <=50K.
+28, Private, 301010, 11th, 7, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+20, ?, 222007, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 24, United-States, <=50K.
+32, Private, 72630, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 3325, 0, 45, United-States, <=50K.
+49, Local-gov, 204377, 11th, 7, Divorced, Other-service, Own-child, White, Female, 0, 0, 60, United-States, <=50K.
+38, Local-gov, 189614, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+21, Private, 100345, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+22, Private, 163687, 10th, 6, Never-married, Sales, Own-child, White, Male, 0, 0, 15, United-States, <=50K.
+34, Local-gov, 174215, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 7688, 0, 35, United-States, >50K.
+32, Private, 37646, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+33, Private, 84154, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 20, United-States, <=50K.
+41, Private, 116493, Some-college, 10, Divorced, Sales, Not-in-family, White, Male, 0, 0, 52, United-States, <=50K.
+38, Private, 259972, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+58, State-gov, 185338, Bachelors, 13, Widowed, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, >50K.
+44, Private, 99212, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 35, United-States, <=50K.
+61, Private, 54780, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K.
+35, Private, 393673, Some-college, 10, Never-married, Tech-support, Other-relative, White, Female, 0, 0, 40, United-States, <=50K.
+36, Private, 66687, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+44, Private, 133986, Some-college, 10, Married-spouse-absent, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+35, Private, 248694, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+43, Private, 212888, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K.
+51, Self-emp-inc, 304955, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 50, United-States, >50K.
+23, Private, 172232, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 53, United-States, <=50K.
+59, Private, 32446, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+18, Private, 182701, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 12, Mexico, <=50K.
+23, Private, 164920, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 15, Germany, <=50K.
+24, Private, 274424, HS-grad, 9, Never-married, Tech-support, Unmarried, White, Female, 1831, 0, 40, United-States, <=50K.
+57, Private, 176904, 10th, 6, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+28, Private, 217530, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K.
+59, Private, 318450, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+39, Private, 210945, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K.
+26, Private, 181838, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+17, Private, 91931, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 23, United-States, <=50K.
+45, Self-emp-not-inc, 123681, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+64, Local-gov, 181628, HS-grad, 9, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 20, United-States, <=50K.
+72, ?, 305145, Bachelors, 13, Widowed, ?, Not-in-family, White, Male, 0, 0, 4, United-States, <=50K.
+55, Private, 174533, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+47, Private, 94342, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 16, United-States, <=50K.
+43, Private, 215624, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Vietnam, <=50K.
+46, Self-emp-not-inc, 112485, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+54, Private, 27484, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+26, Private, 186454, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 4650, 0, 40, Vietnam, <=50K.
+28, State-gov, 187746, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 1669, 40, United-States, <=50K.
+57, Private, 358628, Assoc-voc, 11, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+35, Private, 295939, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+61, Self-emp-not-inc, 127198, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Germany, <=50K.
+48, Private, 81497, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 65, United-States, <=50K.
+30, Self-emp-not-inc, 143078, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 0, 2444, 55, United-States, >50K.
+70, Self-emp-not-inc, 177806, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+30, Local-gov, 210926, 9th, 5, Divorced, Farming-fishing, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K.
+34, Private, 195144, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+26, Private, 252563, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+41, Self-emp-not-inc, 170785, 12th, 8, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+19, Private, 111232, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K.
+59, Private, 59584, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+48, Private, 148254, Bachelors, 13, Married-civ-spouse, Other-service, Wife, White, Female, 0, 1902, 40, ?, >50K.
+30, Local-gov, 19302, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 4386, 0, 70, Germany, >50K.
+52, Private, 285224, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 32, United-States, <=50K.
+43, Private, 172256, Bachelors, 13, Divorced, Sales, Unmarried, White, Female, 0, 0, 50, United-States, <=50K.
+51, State-gov, 128260, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 40, United-States, >50K.
+25, Private, 156163, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, ?, <=50K.
+31, Private, 155914, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+19, Private, 58471, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+29, Private, 282389, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K.
+40, Private, 117915, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+40, Private, 163628, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+45, Private, 287436, 11th, 7, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Puerto-Rico, <=50K.
+58, State-gov, 139736, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 1741, 40, United-States, <=50K.
+28, Local-gov, 136643, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K.
+43, Local-gov, 180572, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, >50K.
+40, State-gov, 148805, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+55, Private, 497039, Some-college, 10, Divorced, Tech-support, Unmarried, Black, Female, 0, 0, 56, United-States, <=50K.
+18, Private, 226956, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 24, United-States, <=50K.
+36, Private, 157184, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Other, Male, 0, 0, 40, United-States, >50K.
+21, Private, 315470, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 30, United-States, <=50K.
+45, Private, 252079, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+53, Private, 138022, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+33, Private, 48520, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+35, Self-emp-not-inc, 346605, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 20, United-States, <=50K.
+35, Private, 139770, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 29, United-States, <=50K.
+41, Private, 209899, HS-grad, 9, Separated, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+44, Self-emp-not-inc, 55844, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K.
+61, Private, 215789, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+18, Private, 126913, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 12, United-States, <=50K.
+42, State-gov, 101950, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K.
+28, Private, 451742, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+53, Private, 173754, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K.
+51, Private, 350131, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 2339, 40, United-States, <=50K.
+32, Private, 185820, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K.
+35, Private, 176837, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+44, Private, 271282, Bachelors, 13, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 56, United-States, <=50K.
+25, ?, 420081, Assoc-acdm, 12, Never-married, ?, Own-child, White, Male, 0, 0, 20, United-States, <=50K.
+38, State-gov, 142282, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+28, State-gov, 266855, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 50, United-States, >50K.
+36, Private, 148143, HS-grad, 9, Never-married, Machine-op-inspct, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K.
+40, State-gov, 21189, Bachelors, 13, Divorced, Adm-clerical, Other-relative, Black, Female, 0, 0, 32, United-States, <=50K.
+37, Private, 110013, Assoc-voc, 11, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+18, Private, 350400, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+51, Private, 275507, Some-college, 10, Divorced, Sales, Unmarried, Black, Female, 0, 0, 50, United-States, <=50K.
+42, Private, 169948, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 80, United-States, >50K.
+41, Private, 298161, Assoc-voc, 11, Divorced, Adm-clerical, Own-child, White, Female, 0, 0, 40, Cuba, <=50K.
+45, ?, 120131, HS-grad, 9, Never-married, ?, Other-relative, White, Male, 0, 0, 25, United-States, <=50K.
+32, State-gov, 113129, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 38, United-States, >50K.
+24, Private, 201680, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+63, Private, 158609, 10th, 6, Widowed, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K.
+67, Self-emp-inc, 22313, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 20051, 0, 40, United-States, >50K.
+36, Private, 261012, HS-grad, 9, Divorced, Prof-specialty, Unmarried, Black, Female, 0, 0, 50, United-States, <=50K.
+52, Private, 104501, 12th, 8, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K.
+32, Private, 50178, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K.
+38, Private, 65624, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+33, Private, 236481, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 10, India, <=50K.
+50, Private, 213041, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+55, Private, 105127, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+47, ?, 127441, Some-college, 10, Divorced, ?, Unmarried, White, Female, 0, 0, 42, United-States, <=50K.
+30, Private, 210541, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+40, Self-emp-not-inc, 163512, 5th-6th, 3, Married-civ-spouse, Craft-repair, Husband, Other, Male, 0, 0, 8, Guatemala, <=50K.
+36, Private, 170376, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 1887, 40, United-States, >50K.
+50, Private, 132465, 1st-4th, 2, Married-spouse-absent, Other-service, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K.
+45, Private, 253827, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 40, United-States, >50K.
+22, Private, 186383, HS-grad, 9, Married-civ-spouse, Priv-house-serv, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+34, Private, 111985, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K.
+37, Private, 152909, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+57, Private, 279340, 7th-8th, 4, Widowed, Other-service, Unmarried, Black, Female, 0, 0, 29, United-States, <=50K.
+29, Private, 154571, Some-college, 10, Never-married, Craft-repair, Other-relative, Asian-Pac-Islander, Male, 0, 0, 40, ?, <=50K.
+31, Private, 270889, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+32, Private, 241731, Some-college, 10, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+45, ?, 256649, Bachelors, 13, Married-civ-spouse, ?, Husband, Black, Male, 0, 0, 45, United-States, >50K.
+31, Private, 176711, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+29, Private, 359155, HS-grad, 9, Separated, Transport-moving, Unmarried, White, Female, 0, 0, 30, United-States, <=50K.
+30, State-gov, 103651, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+43, Self-emp-not-inc, 138872, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+50, Private, 180195, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 50, United-States, >50K.
+37, Local-gov, 175979, Bachelors, 13, Divorced, Prof-specialty, Other-relative, White, Female, 0, 0, 60, United-States, <=50K.
+59, Local-gov, 53612, Masters, 14, Separated, Prof-specialty, Own-child, Black, Female, 0, 0, 35, United-States, <=50K.
+18, Local-gov, 28357, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+25, Private, 460322, Bachelors, 13, Never-married, Other-service, Own-child, White, Male, 0, 0, 43, United-States, <=50K.
+36, Private, 182954, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 52, Dominican-Republic, <=50K.
+17, Private, 242871, 10th, 6, Never-married, Sales, Own-child, White, Female, 594, 0, 12, United-States, <=50K.
+55, Local-gov, 30636, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 4386, 0, 40, United-States, >50K.
+47, Local-gov, 274657, HS-grad, 9, Married-civ-spouse, Other-service, Other-relative, White, Male, 3908, 0, 40, United-States, <=50K.
+17, ?, 179807, 10th, 6, Never-married, ?, Own-child, White, Female, 0, 0, 16, United-States, <=50K.
+18, Private, 230215, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K.
+46, Federal-gov, 260549, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 80, United-States, >50K.
+31, Private, 408208, HS-grad, 9, Never-married, Craft-repair, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K.
+61, Private, 143837, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+28, Private, 203784, Preschool, 1, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 38, Mexico, <=50K.
+43, Federal-gov, 190020, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+26, Private, 666014, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K.
+32, Private, 50753, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+52, Federal-gov, 197515, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+55, Private, 209476, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+67, Private, 192995, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 6723, 0, 40, United-States, <=50K.
+25, Private, 39640, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K.
+33, Private, 203488, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 50, United-States, >50K.
+29, Private, 125791, Assoc-acdm, 12, Never-married, Exec-managerial, Other-relative, White, Female, 0, 0, 38, United-States, <=50K.
+20, Private, 167424, Some-college, 10, Never-married, Priv-house-serv, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+58, ?, 169590, Some-college, 10, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+56, ?, 174533, Bachelors, 13, Never-married, ?, Unmarried, White, Female, 0, 0, 20, United-States, <=50K.
+37, Private, 474568, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, ?, >50K.
+36, Private, 414910, 7th-8th, 4, Divorced, Sales, Not-in-family, Other, Female, 0, 0, 35, United-States, <=50K.
+21, Self-emp-inc, 95997, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 60, United-States, <=50K.
+26, Private, 191797, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 16, United-States, <=50K.
+81, ?, 143732, 1st-4th, 2, Widowed, ?, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K.
+52, Private, 65624, Assoc-acdm, 12, Never-married, Machine-op-inspct, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K.
+48, Private, 352614, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 40, ?, >50K.
+34, Private, 301251, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K.
+47, Private, 98524, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+37, Private, 112512, Assoc-voc, 11, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 48, United-States, >50K.
+37, Local-gov, 170861, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K.
+42, Private, 244668, HS-grad, 9, Divorced, Tech-support, Not-in-family, White, Male, 8614, 0, 40, Mexico, >50K.
+23, Private, 148890, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 25, United-States, <=50K.
+37, Private, 149898, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+45, Private, 240629, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+28, Federal-gov, 19522, Some-college, 10, Never-married, Tech-support, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K.
+89, Private, 152839, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+54, Local-gov, 105788, Masters, 14, Divorced, Prof-specialty, Unmarried, Black, Female, 0, 0, 37, United-States, >50K.
+23, Private, 314823, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 24, United-States, <=50K.
+20, ?, 287681, 5th-6th, 3, Never-married, ?, Not-in-family, White, Male, 0, 0, 25, Mexico, <=50K.
+50, ?, 313445, HS-grad, 9, Separated, ?, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K.
+35, Private, 289148, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+37, Private, 166193, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+31, Federal-gov, 206857, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+24, Private, 150683, Bachelors, 13, Never-married, Tech-support, Own-child, White, Male, 0, 0, 42, United-States, <=50K.
+52, Private, 155759, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+18, ?, 211459, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 30, United-States, <=50K.
+35, Private, 191103, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+51, Private, 88856, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2415, 40, United-States, >50K.
+41, Private, 193882, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 65, United-States, >50K.
+57, State-gov, 222792, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K.
+22, Private, 190137, HS-grad, 9, Never-married, Sales, Own-child, Other, Male, 0, 0, 40, United-States, <=50K.
+37, Private, 174308, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+74, Private, 172787, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Male, 0, 2282, 35, United-States, >50K.
+56, Private, 146391, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, Ireland, <=50K.
+33, Private, 179708, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K.
+31, Local-gov, 314375, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 30, United-States, <=50K.
+41, Local-gov, 120277, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, >50K.
+26, Private, 244906, Bachelors, 13, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+59, Local-gov, 251890, 10th, 6, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 25, Puerto-Rico, <=50K.
+23, Private, 220993, HS-grad, 9, Married-civ-spouse, Sales, Not-in-family, Black, Male, 0, 0, 60, United-States, <=50K.
+35, Private, 309131, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+50, State-gov, 263200, Assoc-voc, 11, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, Ecuador, <=50K.
+52, Self-emp-not-inc, 92469, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K.
+31, Private, 32406, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+37, Private, 235070, HS-grad, 9, Married-spouse-absent, Other-service, Unmarried, Black, Female, 0, 0, 35, Haiti, <=50K.
+48, Private, 196571, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+50, Local-gov, 258819, Some-college, 10, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+30, Private, 33945, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+24, Private, 452640, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+57, Self-emp-not-inc, 112772, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+49, Self-emp-not-inc, 34845, Assoc-voc, 11, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K.
+23, Private, 119051, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, Puerto-Rico, <=50K.
+20, Private, 197767, Some-college, 10, Never-married, Sales, Not-in-family, Black, Female, 0, 0, 36, United-States, <=50K.
+52, Local-gov, 181578, HS-grad, 9, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female, 0, 0, 40, ?, >50K.
+56, Private, 329654, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, Asian-Pac-Islander, Female, 7688, 0, 50, United-States, >50K.
+57, Federal-gov, 47534, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 60, United-States, >50K.
+20, Private, 341294, Some-college, 10, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+43, Private, 336042, HS-grad, 9, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K.
+41, Self-emp-inc, 56019, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 99999, 0, 50, India, >50K.
+45, Private, 86505, Some-college, 10, Divorced, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+36, Private, 274106, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, Mexico, <=50K.
+62, Federal-gov, 52765, 9th, 5, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+19, Self-emp-inc, 136848, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 6, United-States, <=50K.
+24, Private, 298227, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+19, Self-emp-not-inc, 215493, HS-grad, 9, Never-married, Tech-support, Own-child, White, Male, 0, 0, 20, United-States, <=50K.
+20, ?, 197583, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+32, Private, 265190, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+44, Self-emp-not-inc, 96921, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K.
+53, Local-gov, 202420, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+45, Private, 252616, 7th-8th, 4, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 36, China, <=50K.
+39, Private, 102976, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, >50K.
+55, Private, 70439, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 25, United-States, >50K.
+30, Private, 184290, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K.
+39, Federal-gov, 72887, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, >50K.
+23, Local-gov, 237498, HS-grad, 9, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+28, Self-emp-not-inc, 228043, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K.
+42, Private, 144056, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, >50K.
+35, Private, 187711, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+39, Private, 282489, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K.
+29, Private, 359155, Bachelors, 13, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 20, United-States, <=50K.
+21, Self-emp-not-inc, 87169, HS-grad, 9, Never-married, Farming-fishing, Own-child, Asian-Pac-Islander, Male, 0, 0, 35, United-States, <=50K.
+35, Private, 251091, Masters, 14, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 38, Puerto-Rico, <=50K.
+42, Private, 130126, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+28, Private, 163265, 9th, 5, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K.
+57, Private, 250040, 7th-8th, 4, Divorced, Prof-specialty, Other-relative, White, Female, 0, 0, 20, ?, <=50K.
+59, ?, 218764, HS-grad, 9, Divorced, ?, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K.
+50, Private, 176773, Preschool, 1, Married-civ-spouse, Farming-fishing, Husband, Black, Male, 0, 0, 40, Haiti, <=50K.
+37, Self-emp-not-inc, 98941, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 50, United-States, >50K.
+20, Private, 217467, HS-grad, 9, Never-married, Machine-op-inspct, Other-relative, White, Male, 0, 0, 40, United-States, <=50K.
+46, Self-emp-not-inc, 97176, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 50, United-States, <=50K.
+28, Private, 230503, Some-college, 10, Never-married, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+32, Private, 227321, Some-college, 10, Separated, Other-service, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K.
+20, Private, 199698, 9th, 5, Never-married, Transport-moving, Unmarried, White, Male, 0, 0, 35, United-States, <=50K.
+38, Local-gov, 347491, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+36, Private, 103925, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, Germany, <=50K.
+30, Private, 124569, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 16, United-States, <=50K.
+35, Private, 80680, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, >50K.
+30, State-gov, 119197, Masters, 14, Divorced, Prof-specialty, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 50, United-States, <=50K.
+56, Private, 147055, 9th, 5, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+30, Private, 316470, 9th, 5, Married-spouse-absent, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K.
+64, Private, 260082, 1st-4th, 2, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Cuba, <=50K.
+21, ?, 228960, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+17, ?, 256496, 10th, 6, Never-married, ?, Own-child, White, Male, 0, 0, 35, United-States, <=50K.
+49, Private, 133351, HS-grad, 9, Married-civ-spouse, Craft-repair, Wife, Black, Female, 0, 0, 40, United-States, <=50K.
+37, Private, 151835, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, ?, >50K.
+52, ?, 224793, Bachelors, 13, Widowed, ?, Not-in-family, White, Female, 0, 0, 8, United-States, <=50K.
+55, Private, 101480, HS-grad, 9, Married-civ-spouse, Other-service, Other-relative, White, Female, 0, 0, 33, United-States, <=50K.
+24, Private, 138719, 11th, 7, Never-married, Sales, Own-child, Black, Female, 0, 0, 20, United-States, <=50K.
+23, Private, 129121, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K.
+31, Private, 401069, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 39, United-States, <=50K.
+17, ?, 188758, 10th, 6, Never-married, ?, Own-child, White, Male, 0, 0, 14, United-States, <=50K.
+50, Private, 191598, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 1980, 38, United-States, <=50K.
+33, Private, 330715, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K.
+24, Private, 284317, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+37, Private, 393673, 12th, 8, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 45, United-States, <=50K.
+31, Self-emp-not-inc, 206609, 10th, 6, Never-married, Transport-moving, Not-in-family, White, Male, 0, 2205, 60, United-States, <=50K.
+77, ?, 88545, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 8, United-States, <=50K.
+21, Private, 224632, Bachelors, 13, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 38, United-States, <=50K.
+18, Private, 227529, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 10, United-States, <=50K.
+25, Private, 210148, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+57, Private, 224174, Assoc-voc, 11, Widowed, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, ?, <=50K.
+25, Private, 193787, Some-college, 10, Never-married, Prof-specialty, Unmarried, White, Female, 0, 0, 60, United-States, <=50K.
+62, Self-emp-not-inc, 244953, Some-college, 10, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K.
+35, Private, 223749, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 7298, 0, 48, United-States, >50K.
+26, Private, 37650, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Female, 5060, 0, 40, United-States, <=50K.
+47, Private, 358382, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+25, Private, 155275, Assoc-acdm, 12, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+33, Private, 180574, Assoc-voc, 11, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+28, Private, 101853, Bachelors, 13, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+42, Self-emp-not-inc, 34161, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+50, Private, 83311, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+61, Private, 217125, 1st-4th, 2, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Mexico, <=50K.
+50, Private, 166368, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+23, ?, 44793, HS-grad, 9, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+27, ?, 123147, Some-college, 10, Never-married, ?, Unmarried, White, Female, 0, 0, 25, United-States, <=50K.
+51, Private, 184529, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 1977, 50, United-States, >50K.
+37, Private, 224566, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 39, United-States, <=50K.
+25, Private, 195994, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K.
+38, Private, 186376, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 42, United-States, >50K.
+60, Federal-gov, 38749, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 99999, 0, 60, Philippines, >50K.
+66, ?, 78375, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+74, Private, 148867, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 6418, 0, 24, United-States, >50K.
+37, Private, 207066, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 70, United-States, <=50K.
+26, Private, 339423, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+39, Private, 172186, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+19, ?, 138564, HS-grad, 9, Never-married, ?, Own-child, White, Female, 0, 0, 8, United-States, <=50K.
+35, Private, 208259, 10th, 6, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 36, United-States, <=50K.
+43, Local-gov, 203376, Masters, 14, Widowed, Prof-specialty, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+31, Self-emp-inc, 243165, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K.
+35, Self-emp-inc, 213008, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+30, Private, 159323, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 65, Canada, <=50K.
+22, Private, 197050, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+36, Private, 166855, 7th-8th, 4, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+19, Private, 163072, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 34, United-States, <=50K.
+36, Private, 191807, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 75, United-States, <=50K.
+29, State-gov, 48634, Bachelors, 13, Never-married, Protective-serv, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+30, Local-gov, 287737, Some-college, 10, Never-married, Protective-serv, Not-in-family, White, Female, 3325, 0, 40, United-States, <=50K.
+31, Private, 162623, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+27, Private, 104993, HS-grad, 9, Never-married, Sales, Own-child, Black, Male, 0, 0, 40, United-States, <=50K.
+44, ?, 256211, Assoc-voc, 11, Married-civ-spouse, ?, Husband, Asian-Pac-Islander, Male, 0, 2129, 40, Poland, <=50K.
+17, Private, 298605, 11th, 7, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 15, United-States, <=50K.
+36, Private, 115803, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+43, Private, 183342, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K.
+46, Self-emp-not-inc, 115971, 9th, 5, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+24, Private, 254547, HS-grad, 9, Never-married, Adm-clerical, Other-relative, Black, Female, 0, 0, 20, United-States, <=50K.
+42, Private, 211940, Some-college, 10, Never-married, Transport-moving, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+55, State-gov, 136819, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 43, United-States, >50K.
+61, Self-emp-not-inc, 186000, Assoc-voc, 11, Widowed, Craft-repair, Unmarried, White, Female, 0, 0, 40, Canada, <=50K.
+20, Private, 289982, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 10, El-Salvador, <=50K.
+60, Private, 137344, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+24, Private, 174413, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+33, Private, 186993, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 51, United-States, <=50K.
+67, Self-emp-not-inc, 176388, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, >50K.
+34, Private, 49469, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+34, Private, 83800, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 30, United-States, <=50K.
+38, Private, 194809, Some-college, 10, Divorced, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+50, Private, 194397, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+45, Private, 181363, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 46, United-States, <=50K.
+55, ?, 227243, HS-grad, 9, Widowed, ?, Unmarried, White, Female, 0, 0, 35, Puerto-Rico, <=50K.
+18, Private, 176136, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 35, United-States, <=50K.
+26, ?, 102541, 10th, 6, Never-married, ?, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K.
+40, Private, 166088, Assoc-voc, 11, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 30, United-States, <=50K.
+37, Self-emp-inc, 95634, Some-college, 10, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 40, Canada, <=50K.
+35, Private, 66304, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+22, Private, 64292, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 2176, 0, 25, United-States, <=50K.
+33, Private, 41610, HS-grad, 9, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+42, Local-gov, 198028, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K.
+36, Private, 228652, Some-college, 10, Divorced, Machine-op-inspct, Own-child, Other, Male, 0, 0, 40, Mexico, <=50K.
+41, Private, 165815, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+39, Private, 238255, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+63, Private, 65740, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, >50K.
+52, Private, 279543, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, Cuba, >50K.
+36, Private, 114765, 10th, 6, Never-married, Other-service, Unmarried, White, Female, 0, 0, 35, United-States, <=50K.
+27, Private, 279580, Masters, 14, Never-married, Sales, Not-in-family, White, Male, 0, 0, 42, Mexico, <=50K.
+19, Private, 73257, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, Germany, <=50K.
+66, Private, 80621, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, >50K.
+74, State-gov, 193602, Some-college, 10, Widowed, Exec-managerial, Not-in-family, Black, Male, 15831, 0, 40, United-States, >50K.
+17, ?, 141445, 9th, 5, Never-married, ?, Own-child, White, Male, 0, 0, 5, United-States, <=50K.
+37, Private, 224512, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+52, Self-emp-not-inc, 98642, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, India, >50K.
+21, ?, 182288, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+44, Private, 765214, Masters, 14, Separated, Exec-managerial, Not-in-family, White, Male, 0, 2559, 40, United-States, >50K.
+24, Private, 224785, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 1876, 65, United-States, <=50K.
+19, ?, 285177, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 18, United-States, <=50K.
+31, Private, 241880, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, Black, Male, 0, 0, 45, United-States, <=50K.
+42, Self-emp-inc, 201495, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+35, Private, 165215, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 15, United-States, >50K.
+35, Self-emp-inc, 99146, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K.
+26, State-gov, 92795, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 80, United-States, <=50K.
+39, Self-emp-not-inc, 54022, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+38, Private, 175268, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+39, Local-gov, 123983, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 40, India, >50K.
+35, Private, 269323, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 1887, 40, United-States, >50K.
+40, Private, 32798, HS-grad, 9, Married-civ-spouse, Craft-repair, Wife, White, Female, 0, 0, 45, United-States, <=50K.
+64, Private, 101077, Prof-school, 15, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 2444, 40, United-States, >50K.
+22, ?, 157332, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+49, Private, 390746, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1672, 45, Ireland, <=50K.
+26, Private, 200318, 10th, 6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 38, United-States, <=50K.
+38, ?, 36425, Some-college, 10, Divorced, ?, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K.
+44, Private, 221172, 5th-6th, 3, Married-spouse-absent, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+34, Self-emp-inc, 337995, Bachelors, 13, Divorced, Exec-managerial, Unmarried, Black, Male, 15020, 0, 50, United-States, >50K.
+54, Private, 64421, Some-college, 10, Widowed, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+22, Private, 199915, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 10, United-States, <=50K.
+64, Private, 207658, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+22, Private, 124810, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+40, Self-emp-inc, 253060, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K.
+36, Private, 76878, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 5178, 0, 40, United-States, >50K.
+20, ?, 38455, HS-grad, 9, Never-married, ?, Other-relative, White, Male, 0, 0, 40, United-States, <=50K.
+49, Private, 41294, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+42, Private, 205195, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+48, Private, 162236, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, >50K.
+27, Private, 445480, 12th, 8, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+30, Private, 761800, 11th, 7, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+22, Private, 188300, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 28, United-States, <=50K.
+36, Private, 138088, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+53, Private, 132304, Some-college, 10, Divorced, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K.
+32, Private, 126173, HS-grad, 9, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+48, Private, 259873, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+40, Private, 122215, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K.
+24, Private, 190015, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+35, Self-emp-not-inc, 313132, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+35, Self-emp-not-inc, 103323, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+17, ?, 44789, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 15, United-States, <=50K.
+28, Private, 192932, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+30, Private, 264025, HS-grad, 9, Separated, Transport-moving, Unmarried, Black, Male, 1506, 0, 80, United-States, <=50K.
+37, Private, 30269, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 2174, 0, 50, United-States, <=50K.
+23, Private, 283092, HS-grad, 9, Never-married, Sales, Other-relative, Black, Male, 0, 0, 40, Jamaica, <=50K.
+17, Private, 125236, 10th, 6, Never-married, Sales, Own-child, White, Female, 0, 0, 22, United-States, <=50K.
+47, Private, 187308, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K.
+43, Private, 150519, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+39, Local-gov, 32587, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male, 0, 1485, 40, United-States, >50K.
+37, Private, 244803, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, Columbia, <=50K.
+23, Private, 316793, HS-grad, 9, Married-civ-spouse, Sales, Wife, Black, Female, 0, 0, 35, United-States, <=50K.
+41, Private, 106068, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+22, Private, 191878, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 35, United-States, <=50K.
+30, ?, 159008, Bachelors, 13, Married-spouse-absent, ?, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K.
+39, Private, 181983, Doctorate, 16, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 2559, 60, England, >50K.
+65, Private, 113293, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K.
+61, Local-gov, 224711, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 63, United-States, >50K.
+20, Private, 460356, 12th, 8, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 30, Mexico, <=50K.
+37, Local-gov, 184474, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 2977, 0, 55, United-States, <=50K.
+39, Private, 289890, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K.
+27, Private, 183148, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+32, Self-emp-not-inc, 178109, 10th, 6, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, <=50K.
+54, Private, 351760, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K.
+39, Private, 176967, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+17, Private, 67444, 11th, 7, Never-married, Other-service, Other-relative, Black, Male, 0, 0, 20, United-States, <=50K.
+23, Private, 48343, HS-grad, 9, Never-married, Sales, Not-in-family, Black, Female, 0, 0, 27, ?, <=50K.
+19, Private, 1047822, 11th, 7, Never-married, Sales, Unmarried, White, Female, 0, 0, 25, United-States, <=50K.
+55, Local-gov, 200448, Some-college, 10, Divorced, Adm-clerical, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+36, Private, 34364, Assoc-acdm, 12, Separated, Tech-support, Not-in-family, White, Female, 0, 0, 3, United-States, <=50K.
+27, Private, 95725, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1740, 40, United-States, <=50K.
+23, Private, 124802, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K.
+38, Local-gov, 196673, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 55, United-States, <=50K.
+22, Private, 196943, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+31, Private, 43819, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K.
+53, Private, 173020, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K.
+67, Local-gov, 102690, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 20, United-States, <=50K.
+42, Private, 199018, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 55, United-States, >50K.
+29, Private, 201954, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, ?, <=50K.
+31, Private, 168854, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 1504, 40, United-States, <=50K.
+22, Private, 53702, 10th, 6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+50, Private, 154043, HS-grad, 9, Widowed, Adm-clerical, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K.
+41, Self-emp-inc, 64112, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 50, United-States, >50K.
+68, ?, 294420, Bachelors, 13, Widowed, ?, Not-in-family, White, Female, 0, 0, 2, United-States, <=50K.
+42, Self-emp-inc, 325159, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+20, Private, 267706, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+18, Private, 70240, HS-grad, 9, Never-married, Sales, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K.
+31, Private, 213307, 7th-8th, 4, Never-married, Machine-op-inspct, Other-relative, White, Female, 0, 0, 20, Mexico, <=50K.
+56, Private, 192845, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 40, United-States, >50K.
+23, Private, 273010, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+45, ?, 177775, Assoc-voc, 11, Never-married, ?, Other-relative, White, Female, 0, 0, 32, United-States, <=50K.
+22, ?, 393122, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 30, United-States, <=50K.
+23, Private, 345577, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 46, United-States, <=50K.
+54, Self-emp-not-inc, 72257, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K.
+34, Private, 113129, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 38, United-States, >50K.
+36, Private, 292380, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 10, United-States, <=50K.
+29, Private, 121040, Assoc-voc, 11, Separated, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+67, Private, 142097, 9th, 5, Married-civ-spouse, Priv-house-serv, Wife, White, Female, 0, 0, 6, United-States, <=50K.
+48, Federal-gov, 34998, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 48, United-States, >50K.
+53, State-gov, 41021, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 46, United-States, >50K.
+42, Private, 152889, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 4386, 0, 50, United-States, >50K.
+56, Private, 436651, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 20, United-States, <=50K.
+20, ?, 256504, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 30, United-States, <=50K.
+40, Private, 215479, HS-grad, 9, Never-married, Other-service, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K.
+55, State-gov, 100285, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, White, Male, 10520, 0, 40, United-States, >50K.
+61, Private, 373099, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+35, Self-emp-not-inc, 99357, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K.
+42, Private, 67243, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, Portugal, <=50K.
+32, Private, 231263, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, >50K.
+19, Private, 243942, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+21, Private, 194102, Assoc-acdm, 12, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+39, Private, 141748, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1887, 40, United-States, >50K.
+22, Private, 211013, HS-grad, 9, Separated, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K.
+23, Private, 102652, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K.
+49, Private, 201127, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1902, 70, United-States, <=50K.
+57, ?, 172667, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 32, United-States, <=50K.
+49, Local-gov, 175958, 11th, 7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Italy, <=50K.
+34, Private, 73928, 10th, 6, Separated, Other-service, Unmarried, Asian-Pac-Islander, Female, 0, 0, 4, United-States, <=50K.
+46, Private, 212944, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 32, United-States, <=50K.
+26, Private, 544319, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+38, Private, 348960, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 41, United-States, <=50K.
+59, Private, 280519, 10th, 6, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+24, Private, 155172, Assoc-acdm, 12, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+26, Private, 106856, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+41, Private, 397346, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+27, Private, 253814, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K.
+23, Private, 201490, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 35, United-States, <=50K.
+19, Private, 176806, 9th, 5, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+39, Private, 107038, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+46, Private, 122194, Some-college, 10, Married-civ-spouse, Craft-repair, Wife, White, Female, 7298, 0, 40, United-States, >50K.
+28, Self-emp-not-inc, 180928, HS-grad, 9, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+62, Private, 143746, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+28, Private, 183523, Assoc-acdm, 12, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 35, United-States, <=50K.
+35, Federal-gov, 179262, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+38, Private, 190759, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 42, United-States, <=50K.
+53, Self-emp-inc, 200400, Doctorate, 16, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, United-States, >50K.
+29, Private, 166320, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K.
+17, Private, 205954, 12th, 8, Never-married, Other-service, Own-child, White, Female, 0, 0, 8, United-States, <=50K.
+45, Local-gov, 251786, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 37, United-States, <=50K.
+20, Private, 166371, HS-grad, 9, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K.
+27, ?, 135046, Some-college, 10, Never-married, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+59, Local-gov, 170423, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+37, Private, 393673, Masters, 14, Never-married, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+27, Private, 115438, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+29, Private, 173944, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K.
+26, ?, 292803, Some-college, 10, Divorced, ?, Other-relative, White, Female, 0, 0, 35, United-States, <=50K.
+63, Private, 149756, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1740, 40, United-States, <=50K.
+39, Private, 192251, Some-college, 10, Divorced, Craft-repair, Own-child, White, Female, 0, 0, 50, United-States, >50K.
+20, Private, 163687, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+20, Private, 200421, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K.
+53, Self-emp-inc, 368014, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 60, United-States, >50K.
+49, ?, 141483, 10th, 6, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+35, Federal-gov, 191480, Bachelors, 13, Married-spouse-absent, Exec-managerial, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+40, Private, 202466, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K.
+50, ?, 28765, Masters, 14, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, >50K.
+35, Private, 141584, Masters, 14, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, >50K.
+38, Federal-gov, 143123, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+47, Private, 122194, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+32, State-gov, 110171, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1902, 40, United-States, >50K.
+43, Self-emp-inc, 342510, Bachelors, 13, Married-civ-spouse, Farming-fishing, Wife, White, Female, 0, 0, 60, United-States, >50K.
+20, Private, 42279, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K.
+33, Private, 201122, HS-grad, 9, Separated, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+23, Private, 254025, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 45, United-States, <=50K.
+50, Private, 410114, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K.
+60, Private, 320422, Some-college, 10, Divorced, Tech-support, Not-in-family, White, Female, 6849, 0, 50, United-States, <=50K.
+56, Private, 67153, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K.
+37, Private, 224406, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+57, Private, 211678, 10th, 6, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 64, United-States, <=50K.
+22, Private, 257017, Assoc-voc, 11, Never-married, Other-service, Other-relative, Black, Male, 0, 0, 52, United-States, <=50K.
+48, Self-emp-inc, 106232, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 48, United-States, >50K.
+27, State-gov, 41115, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+18, Self-emp-not-inc, 161245, 12th, 8, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 50, United-States, <=50K.
+41, Self-emp-not-inc, 37618, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, >50K.
+33, Private, 321787, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+51, Private, 123011, HS-grad, 9, Married-spouse-absent, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+33, Local-gov, 66278, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K.
+25, Private, 181054, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K.
+55, Self-emp-not-inc, 129786, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K.
+29, Private, 245402, 11th, 7, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 70, United-States, <=50K.
+24, ?, 192711, Bachelors, 13, Never-married, ?, Not-in-family, White, Male, 0, 0, 41, United-States, <=50K.
+41, Private, 240124, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+29, Local-gov, 370675, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K.
+39, Self-emp-not-inc, 34066, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male, 0, 0, 50, United-States, >50K.
+35, Private, 53553, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 7298, 0, 48, United-States, >50K.
+20, Private, 319758, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+41, Private, 43556, Assoc-voc, 11, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+26, Self-emp-inc, 97952, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 80, United-States, <=50K.
+44, Private, 244522, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+32, Private, 188108, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K.
+35, Private, 187022, HS-grad, 9, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+59, State-gov, 173422, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 5013, 0, 38, United-States, <=50K.
+61, State-gov, 103575, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Germany, <=50K.
+20, Private, 116830, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 43, United-States, <=50K.
+58, Private, 219504, 12th, 8, Divorced, Transport-moving, Unmarried, Black, Male, 0, 0, 45, United-States, >50K.
+48, Self-emp-not-inc, 102102, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K.
+26, Private, 129661, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K.
+28, State-gov, 189346, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+48, Private, 113211, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 99999, 0, 40, United-States, >50K.
+45, Private, 256866, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K.
+18, Private, 186408, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 1055, 0, 40, United-States, <=50K.
+23, Private, 50411, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+31, Private, 118941, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, >50K.
+19, ?, 171868, HS-grad, 9, Never-married, ?, Own-child, Black, Male, 0, 0, 20, United-States, <=50K.
+35, Private, 99065, Assoc-acdm, 12, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 32, United-States, <=50K.
+22, Self-emp-not-inc, 238917, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+32, Self-emp-not-inc, 220740, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 60, United-States, <=50K.
+69, Private, 192660, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 20, United-States, <=50K.
+39, Private, 56962, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 43, United-States, >50K.
+21, ?, 156780, Some-college, 10, Never-married, ?, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 15, ?, <=50K.
+22, Private, 122048, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 4416, 0, 40, United-States, <=50K.
+52, Private, 172511, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 36, United-States, <=50K.
+44, Private, 186790, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 48, United-States, <=50K.
+22, Private, 196280, Assoc-acdm, 12, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+49, Private, 61885, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K.
+51, Private, 143822, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K.
+27, Private, 315640, Masters, 14, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 20, China, <=50K.
+34, Private, 617917, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1887, 40, United-States, >50K.
+20, Private, 35448, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 12, United-States, <=50K.
+22, Private, 124483, Bachelors, 13, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Male, 0, 2339, 40, India, <=50K.
+68, Private, 230904, 11th, 7, Widowed, Machine-op-inspct, Not-in-family, Black, Female, 0, 1870, 35, United-States, <=50K.
+31, Private, 164461, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 73, United-States, <=50K.
+22, Private, 450695, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K.
+62, ?, 352156, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+28, Private, 166634, HS-grad, 9, Never-married, Adm-clerical, Own-child, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K.
+46, Private, 151107, Some-college, 10, Married-civ-spouse, Sales, Husband, Black, Male, 0, 1977, 60, United-States, >50K.
+49, Private, 219751, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+40, Private, 85604, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, <=50K.
+54, Local-gov, 231482, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Portugal, <=50K.
+24, Private, 138152, 9th, 5, Never-married, Craft-repair, Other-relative, Other, Male, 0, 0, 58, Guatemala, <=50K.
+27, Private, 309196, Assoc-acdm, 12, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+33, Private, 91666, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+19, Private, 89734, Some-college, 10, Never-married, Other-service, Other-relative, Amer-Indian-Eskimo, Male, 0, 0, 42, United-States, <=50K.
+27, Private, 79661, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 4386, 0, 40, United-States, >50K.
+39, Private, 197150, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 50, El-Salvador, <=50K.
+29, ?, 41281, Bachelors, 13, Married-spouse-absent, ?, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+29, Private, 53448, 12th, 8, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 50, China, <=50K.
+44, Self-emp-not-inc, 255543, 5th-6th, 3, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 84, United-States, >50K.
+51, State-gov, 367209, Doctorate, 16, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male, 0, 0, 70, United-States, >50K.
+37, Private, 226500, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K.
+56, Private, 292710, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K.
+19, Private, 235732, 11th, 7, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 15, United-States, <=50K.
+37, Private, 301614, Bachelors, 13, Never-married, Machine-op-inspct, Other-relative, White, Male, 0, 0, 40, United-States, <=50K.
+18, Private, 261714, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 15, United-States, <=50K.
+35, ?, 35751, 1st-4th, 2, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 15, United-States, <=50K.
+28, Private, 266316, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 3464, 0, 35, United-States, <=50K.
+40, Self-emp-inc, 189941, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 3103, 0, 60, United-States, >50K.
+50, Self-emp-not-inc, 143535, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+31, Private, 234537, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K.
+57, Self-emp-not-inc, 181435, 11th, 7, Divorced, Other-service, Unmarried, White, Male, 4650, 0, 50, United-States, <=50K.
+40, Private, 94210, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K.
+44, Private, 344060, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 27828, 0, 40, United-States, >50K.
+40, Private, 301359, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+42, State-gov, 184527, Some-college, 10, Never-married, Exec-managerial, Unmarried, White, Female, 0, 0, 45, United-States, <=50K.
+41, Federal-gov, 333070, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 35, United-States, <=50K.
+23, Private, 149574, Some-college, 10, Married-spouse-absent, Other-service, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+41, Self-emp-not-inc, 34037, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 99, United-States, <=50K.
+41, Self-emp-not-inc, 123502, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+29, Self-emp-not-inc, 267661, Assoc-voc, 11, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 75, United-States, <=50K.
+33, Private, 109920, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K.
+43, Private, 134120, HS-grad, 9, Divorced, Sales, Other-relative, White, Female, 0, 0, 46, United-States, <=50K.
+18, Private, 192254, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 10, United-States, <=50K.
+67, Self-emp-not-inc, 94809, Some-college, 10, Widowed, Other-service, Not-in-family, White, Female, 2346, 0, 33, United-States, <=50K.
+21, Private, 183789, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+36, Private, 86643, 12th, 8, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, <=50K.
+22, ?, 190290, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 65, United-States, <=50K.
+64, ?, 228140, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, >50K.
+24, Private, 198349, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 30, United-States, <=50K.
+44, Local-gov, 113597, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+22, Federal-gov, 280567, Some-college, 10, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 4, United-States, <=50K.
+60, Private, 298967, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 15, United-States, <=50K.
+31, Self-emp-not-inc, 134615, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K.
+74, Private, 89852, 12th, 8, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 11, United-States, <=50K.
+30, Private, 289442, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+29, Private, 159109, 11th, 7, Never-married, Transport-moving, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+47, Private, 105495, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 50, United-States, >50K.
+71, Private, 155093, Assoc-voc, 11, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K.
+33, Private, 312923, 10th, 6, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 80, Mexico, <=50K.
+56, Private, 202435, HS-grad, 9, Widowed, Machine-op-inspct, Unmarried, White, Female, 0, 0, 30, United-States, <=50K.
+24, Self-emp-not-inc, 49154, 11th, 7, Never-married, Other-service, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K.
+37, Private, 184456, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K.
+52, Private, 95329, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, India, <=50K.
+42, Private, 173938, Bachelors, 13, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, ?, <=50K.
+56, Private, 373216, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 48, United-States, <=50K.
+52, Private, 204226, Bachelors, 13, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+56, State-gov, 222745, Doctorate, 16, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 56, United-States, <=50K.
+54, Private, 106728, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+43, Self-emp-not-inc, 61287, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+68, Private, 146011, HS-grad, 9, Widowed, Craft-repair, Not-in-family, White, Female, 3273, 0, 42, United-States, <=50K.
+38, Private, 166744, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+44, Local-gov, 54651, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+32, ?, 42894, 11th, 7, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 15, United-States, <=50K.
+23, Private, 131230, Bachelors, 13, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 50, United-States, <=50K.
+69, Private, 271312, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+52, Private, 163776, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 1902, 60, United-States, >50K.
+24, Private, 230126, Assoc-acdm, 12, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+45, Private, 37718, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+43, Private, 245975, 9th, 5, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 84, United-States, <=50K.
+59, State-gov, 115439, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 40, United-States, >50K.
+35, Private, 97554, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+43, Private, 109762, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 20, United-States, >50K.
+47, Private, 138342, 11th, 7, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+29, ?, 429696, Some-college, 10, Married-civ-spouse, ?, Own-child, Black, Female, 0, 0, 14, United-States, <=50K.
+77, ?, 309955, Assoc-acdm, 12, Married-civ-spouse, ?, Husband, White, Male, 0, 1411, 2, United-States, <=50K.
+48, Private, 275154, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+40, Private, 52849, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, ?, >50K.
+23, State-gov, 191165, Some-college, 10, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 15, United-States, <=50K.
+51, Private, 277471, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+43, Private, 171754, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Wife, Black, Female, 0, 0, 40, ?, <=50K.
+44, Private, 117936, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+24, Private, 249956, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+39, Self-emp-inc, 170502, Masters, 14, Divorced, Exec-managerial, Not-in-family, Black, Male, 0, 0, 70, United-States, >50K.
+19, Private, 202951, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K.
+21, Private, 396722, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K.
+49, Private, 93557, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 48, United-States, >50K.
+22, Private, 103805, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 36, United-States, <=50K.
+59, Private, 92141, HS-grad, 9, Widowed, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K.
+51, Private, 171924, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 50, United-States, >50K.
+38, Local-gov, 173804, Bachelors, 13, Divorced, Prof-specialty, Own-child, White, Female, 0, 0, 38, United-States, <=50K.
+45, Private, 139571, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K.
+56, Self-emp-inc, 142076, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+67, ?, 126514, Some-college, 10, Widowed, ?, Not-in-family, White, Female, 0, 0, 4, United-States, <=50K.
+27, Local-gov, 68729, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, >50K.
+21, Private, 37783, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K.
+55, Self-emp-not-inc, 183580, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+31, Private, 106637, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 20, United-States, <=50K.
+57, Self-emp-not-inc, 411604, 9th, 5, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 45, Mexico, <=50K.
+33, Private, 214635, HS-grad, 9, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, ?, <=50K.
+26, Private, 201663, Masters, 14, Never-married, Prof-specialty, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+51, Private, 153064, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 5013, 0, 40, United-States, <=50K.
+35, Private, 212465, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+19, ?, 93604, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 20, United-States, <=50K.
+46, Private, 141221, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, >50K.
+38, Local-gov, 289653, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 1628, 48, United-States, <=50K.
+24, Private, 219835, 7th-8th, 4, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 24, Guatemala, <=50K.
+38, State-gov, 187119, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, >50K.
+49, Private, 406518, HS-grad, 9, Divorced, Priv-house-serv, Unmarried, White, Female, 0, 0, 16, Yugoslavia, <=50K.
+34, Self-emp-not-inc, 372793, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, Black, Male, 0, 0, 21, ?, <=50K.
+55, ?, 229029, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 5178, 0, 20, United-States, >50K.
+51, Private, 145105, Some-college, 10, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K.
+72, Private, 171181, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 2329, 0, 20, United-States, <=50K.
+60, Private, 80927, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K.
+45, Private, 191357, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+21, Private, 153542, 10th, 6, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 30, United-States, <=50K.
+49, Private, 27802, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1887, 40, United-States, >50K.
+46, Private, 275792, Bachelors, 13, Never-married, Exec-managerial, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+62, Federal-gov, 162876, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+51, Private, 197600, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+50, Private, 134247, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K.
+18, Private, 179597, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K.
+71, Private, 148003, Bachelors, 13, Divorced, Sales, Not-in-family, White, Female, 0, 1911, 38, United-States, >50K.
+30, Private, 185177, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 22, United-States, <=50K.
+51, Private, 133069, 10th, 6, Widowed, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+36, Private, 177154, Assoc-voc, 11, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, >50K.
+41, State-gov, 29324, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 45, United-States, <=50K.
+38, State-gov, 54911, Some-college, 10, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 10, United-States, <=50K.
+49, Private, 219611, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 75, United-States, >50K.
+42, State-gov, 200294, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+53, Private, 177063, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K.
+21, Private, 140001, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 10, United-States, <=50K.
+19, Private, 237433, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Female, 4416, 0, 40, United-States, <=50K.
+43, State-gov, 99185, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+47, Self-emp-not-inc, 52291, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 45, United-States, >50K.
+30, Private, 247328, HS-grad, 9, Separated, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, >50K.
+63, Self-emp-not-inc, 388594, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 50, United-States, >50K.
+53, Local-gov, 130730, HS-grad, 9, Divorced, Adm-clerical, Other-relative, White, Female, 0, 0, 35, United-States, <=50K.
+23, Private, 115458, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+28, Private, 113866, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+61, Private, 284710, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 45, Columbia, >50K.
+60, Local-gov, 168381, Assoc-voc, 11, Widowed, Adm-clerical, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K.
+32, Private, 167063, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+47, Private, 33794, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 56, United-States, >50K.
+36, Private, 263574, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+24, Private, 95552, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+46, Private, 245724, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 3818, 0, 44, United-States, <=50K.
+59, Private, 152731, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+30, Private, 366876, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+30, Private, 203488, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K.
+38, Private, 30529, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 3411, 0, 40, United-States, <=50K.
+57, Private, 201159, HS-grad, 9, Widowed, Sales, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K.
+64, Self-emp-inc, 182158, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 60, United-States, >50K.
+48, Private, 443377, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K.
+28, Private, 101618, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 42, United-States, >50K.
+46, Self-emp-inc, 132576, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 1887, 45, United-States, >50K.
+51, ?, 123429, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+55, Self-emp-inc, 147098, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Male, 0, 2444, 60, United-States, >50K.
+44, Private, 30424, Assoc-acdm, 12, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 1980, 40, United-States, <=50K.
+50, Private, 68898, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+58, Private, 158864, HS-grad, 9, Widowed, Exec-managerial, Not-in-family, White, Male, 0, 0, 55, United-States, >50K.
+27, Federal-gov, 180103, Assoc-voc, 11, Never-married, Tech-support, Unmarried, Black, Male, 1151, 0, 40, United-States, <=50K.
+52, Private, 317625, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+30, Private, 80933, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+49, Private, 107373, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 99, United-States, >50K.
+32, Self-emp-not-inc, 220148, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+44, Self-emp-inc, 63503, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, Greece, >50K.
+63, Private, 210350, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male, 0, 0, 32, Mexico, <=50K.
+60, Private, 194589, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 40, United-States, >50K.
+55, Private, 200453, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+77, Self-emp-not-inc, 101575, 12th, 8, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 12, United-States, <=50K.
+55, Private, 201232, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K.
+51, Private, 168553, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 35, United-States, <=50K.
+35, Private, 166606, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+26, ?, 104756, HS-grad, 9, Married-AF-spouse, ?, Wife, White, Female, 0, 1651, 42, United-States, <=50K.
+33, Private, 106014, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+34, Private, 100882, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 47, United-States, >50K.
+52, State-gov, 108836, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 48, United-States, >50K.
+50, Private, 271493, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+48, Local-gov, 204629, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 45, Canada, >50K.
+24, Private, 153078, Bachelors, 13, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K.
+44, Private, 148316, Assoc-acdm, 12, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+40, Private, 293485, HS-grad, 9, Divorced, Priv-house-serv, Unmarried, White, Female, 0, 0, 32, United-States, <=50K.
+61, Local-gov, 257105, Some-college, 10, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+60, Private, 248160, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+18, ?, 104704, 11th, 7, Never-married, ?, Own-child, Black, Male, 0, 0, 25, United-States, <=50K.
+47, Private, 209057, Some-college, 10, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, >50K.
+30, Federal-gov, 243233, Some-college, 10, Married-civ-spouse, Armed-Forces, Husband, White, Male, 0, 0, 48, United-States, >50K.
+44, Private, 204314, HS-grad, 9, Married-civ-spouse, Other-service, Wife, Black, Female, 0, 0, 38, United-States, >50K.
+60, Private, 108969, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+44, Private, 103397, HS-grad, 9, Divorced, Handlers-cleaners, Other-relative, White, Female, 0, 0, 40, United-States, <=50K.
+33, Private, 198452, Bachelors, 13, Separated, Tech-support, Unmarried, White, Female, 5455, 0, 40, United-States, <=50K.
+38, Private, 216572, HS-grad, 9, Separated, Priv-house-serv, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+42, Private, 311920, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 1485, 17, United-States, >50K.
+45, Self-emp-inc, 363298, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 45, United-States, >50K.
+40, Private, 146906, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+40, Private, 339814, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+60, Private, 169408, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 40, United-States, >50K.
+40, Self-emp-not-inc, 308296, HS-grad, 9, Divorced, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+45, Private, 59380, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+51, Self-emp-not-inc, 195634, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 10520, 0, 20, United-States, >50K.
+31, Federal-gov, 180656, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 35, United-States, <=50K.
+19, Private, 144793, 11th, 7, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+24, Local-gov, 56820, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+51, Private, 41414, 9th, 5, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K.
+28, Self-emp-not-inc, 160731, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+31, Private, 175778, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+19, Private, 230238, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 46, United-States, <=50K.
+39, State-gov, 372130, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 5013, 0, 56, United-States, <=50K.
+27, Private, 167501, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+39, Private, 141029, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K.
+45, Private, 135525, Masters, 14, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+21, Private, 522881, Assoc-voc, 11, Never-married, Exec-managerial, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K.
+67, Private, 162009, 10th, 6, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 16, United-States, <=50K.
+28, Private, 365745, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+28, Private, 68393, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 46, United-States, <=50K.
+48, Private, 203576, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+24, State-gov, 138513, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K.
+66, ?, 188686, Bachelors, 13, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 4, United-States, <=50K.
+23, Private, 39551, HS-grad, 9, Separated, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+17, Private, 127366, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+21, Private, 183747, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+30, Private, 136331, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+53, Private, 81794, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+40, Private, 222596, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K.
+39, Private, 108943, 11th, 7, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+38, Private, 189092, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 43, United-States, <=50K.
+33, Private, 152109, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+36, Private, 195565, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+53, Private, 255927, Bachelors, 13, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 52, United-States, <=50K.
+32, Private, 100734, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K.
+52, Local-gov, 266433, Some-college, 10, Widowed, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+31, Private, 158672, 11th, 7, Separated, Other-service, Not-in-family, White, Male, 0, 0, 38, Puerto-Rico, <=50K.
+35, Private, 102268, 12th, 8, Divorced, Protective-serv, Other-relative, White, Male, 0, 0, 40, United-States, <=50K.
+49, Self-emp-not-inc, 228399, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+28, Private, 298510, Assoc-acdm, 12, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+75, Self-emp-inc, 126225, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+43, Private, 228456, Assoc-acdm, 12, Divorced, Exec-managerial, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+22, Self-emp-inc, 437161, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+43, Federal-gov, 183608, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K.
+40, Local-gov, 174395, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K.
+29, Private, 221366, Some-college, 10, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+21, Private, 421010, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+44, Private, 245333, Assoc-voc, 11, Never-married, Prof-specialty, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+33, Local-gov, 352277, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 3103, 0, 45, United-States, >50K.
+38, Private, 29874, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 48, United-States, >50K.
+29, Private, 77322, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K.
+34, Private, 260560, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, >50K.
+27, Self-emp-inc, 217848, 12th, 8, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K.
+20, Private, 283731, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+35, State-gov, 190759, Masters, 14, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+59, State-gov, 109567, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+19, Self-emp-not-inc, 209826, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Female, 0, 0, 32, United-States, <=50K.
+27, Private, 232801, 10th, 6, Divorced, Machine-op-inspct, Other-relative, White, Female, 0, 0, 40, United-States, <=50K.
+41, Private, 154374, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 50, United-States, >50K.
+35, Self-emp-inc, 126738, Assoc-acdm, 12, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 50, United-States, <=50K.
+26, Private, 202156, HS-grad, 9, Married-civ-spouse, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K.
+32, Private, 195447, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K.
+23, ?, 113301, 11th, 7, Separated, ?, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K.
+23, Private, 189203, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+21, Private, 223019, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K.
+58, Private, 195878, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 24, Cuba, <=50K.
+58, Private, 163150, HS-grad, 9, Widowed, Priv-house-serv, Not-in-family, White, Female, 0, 0, 28, United-States, <=50K.
+19, Self-emp-not-inc, 139278, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K.
+29, Private, 196494, Some-college, 10, Divorced, Handlers-cleaners, Unmarried, White, Female, 0, 0, 36, United-States, <=50K.
+25, Federal-gov, 303704, Assoc-acdm, 12, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+29, Private, 304082, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, Peru, <=50K.
+18, Private, 106943, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 12, United-States, <=50K.
+23, Private, 220993, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 35, United-States, <=50K.
+52, Private, 83984, Some-college, 10, Married-civ-spouse, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+23, State-gov, 340605, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 12, United-States, <=50K.
+18, Private, 379710, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+39, Private, 145933, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 15024, 0, 55, United-States, >50K.
+34, Self-emp-not-inc, 208068, 9th, 5, Married-civ-spouse, Craft-repair, Husband, Other, Male, 0, 0, 40, Guatemala, <=50K.
+39, Private, 172718, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+30, Private, 53285, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+50, Private, 139793, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 3418, 0, 38, United-States, <=50K.
+68, ?, 365350, 5th-6th, 3, Married-spouse-absent, ?, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K.
+32, Private, 144064, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+29, Private, 182676, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 0, 38, Mexico, <=50K.
+29, Private, 108574, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K.
+31, Self-emp-not-inc, 163845, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+25, Private, 344804, 5th-6th, 3, Married-spouse-absent, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K.
+30, State-gov, 252818, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+56, Local-gov, 114231, 10th, 6, Widowed, Other-service, Unmarried, White, Female, 0, 0, 25, United-States, <=50K.
+42, Private, 111895, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1887, 40, United-States, >50K.
+52, Private, 128814, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 50, United-States, <=50K.
+37, Private, 168941, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K.
+27, Private, 212578, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 1721, 20, United-States, <=50K.
+32, ?, 251120, Some-college, 10, Never-married, ?, Other-relative, White, Male, 0, 0, 40, United-States, <=50K.
+19, Private, 192773, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 24, United-States, <=50K.
+37, State-gov, 180667, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+46, Private, 186172, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K.
+33, Private, 309590, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 40, Jamaica, <=50K.
+40, Private, 34178, Some-college, 10, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, >50K.
+44, Private, 103759, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K.
+34, State-gov, 137900, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 48, United-States, >50K.
+60, Private, 223911, Some-college, 10, Married-spouse-absent, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+48, Private, 55720, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 2407, 0, 40, United-States, <=50K.
+39, Private, 123535, 11th, 7, Married-civ-spouse, Other-service, Husband, Other, Male, 0, 0, 40, Guatemala, <=50K.
+24, Private, 479296, 9th, 5, Never-married, Sales, Own-child, White, Male, 0, 0, 48, United-States, <=50K.
+65, ?, 263125, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 2290, 0, 27, United-States, <=50K.
+63, ?, 174817, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 32, United-States, <=50K.
+28, Private, 134890, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+33, Private, 183887, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 1902, 46, United-States, >50K.
+28, Private, 55360, HS-grad, 9, Never-married, Sales, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K.
+34, Private, 113211, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 45, United-States, >50K.
+25, Private, 224203, 11th, 7, Married-civ-spouse, Craft-repair, Husband, Other, Male, 0, 0, 40, United-States, <=50K.
+74, ?, 132112, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 48, United-States, <=50K.
+28, Private, 113635, 12th, 8, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+23, Private, 52262, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+25, Local-gov, 202300, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+19, Private, 307761, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 15, United-States, <=50K.
+48, Private, 324655, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+60, Private, 23336, Masters, 14, Divorced, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+26, Private, 206199, 11th, 7, Never-married, Transport-moving, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+38, Federal-gov, 365430, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+53, Private, 42740, Some-college, 10, Separated, Other-service, Own-child, White, Female, 0, 0, 39, United-States, <=50K.
+30, Private, 160594, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+53, Self-emp-inc, 202069, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, Black, Female, 0, 0, 30, United-States, <=50K.
+22, ?, 142875, 10th, 6, Never-married, ?, Other-relative, White, Male, 0, 0, 40, United-States, <=50K.
+41, Self-emp-inc, 60414, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 99, United-States, >50K.
+42, Private, 340885, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+22, Private, 194096, Bachelors, 13, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+27, State-gov, 222506, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Black, Female, 0, 0, 60, United-States, <=50K.
+44, Private, 55191, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K.
+58, Private, 88572, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 45, United-States, <=50K.
+28, Private, 216757, Doctorate, 16, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 30, United-States, <=50K.
+48, Private, 57534, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+43, ?, 96321, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, >50K.
+41, Self-emp-not-inc, 201908, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+50, Local-gov, 237868, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+46, Private, 285570, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+35, Private, 187625, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, >50K.
+24, Private, 376755, Some-college, 10, Never-married, Other-service, Unmarried, White, Female, 0, 0, 20, United-States, <=50K.
+56, Local-gov, 137078, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+42, Private, 175943, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 35, United-States, <=50K.
+27, Private, 211208, 11th, 7, Separated, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+35, Private, 105821, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 36, United-States, <=50K.
+49, Private, 205694, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, Canada, <=50K.
+39, Private, 148485, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+28, Private, 142264, Assoc-voc, 11, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+45, Self-emp-not-inc, 125892, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+66, Private, 250226, HS-grad, 9, Widowed, Sales, Not-in-family, White, Female, 0, 0, 16, United-States, <=50K.
+19, Private, 300679, Some-college, 10, Never-married, Craft-repair, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+18, Private, 112626, Some-college, 10, Never-married, Priv-house-serv, Own-child, White, Female, 0, 0, 15, United-States, <=50K.
+47, Private, 153883, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 7688, 0, 45, United-States, >50K.
+48, Private, 103648, Assoc-voc, 11, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 41, United-States, <=50K.
+26, State-gov, 162487, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 20, ?, <=50K.
+49, Local-gov, 331650, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 9562, 0, 32, United-States, >50K.
+50, Self-emp-inc, 171338, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 40, United-States, >50K.
+47, Self-emp-not-inc, 178319, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 42, United-States, >50K.
+30, Private, 217460, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+44, Self-emp-not-inc, 182653, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K.
+70, ?, 152837, HS-grad, 9, Widowed, ?, Unmarried, White, Female, 0, 0, 20, United-States, <=50K.
+47, Private, 459189, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K.
+52, Private, 87858, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, >50K.
+32, Private, 125279, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 99, United-States, <=50K.
+39, Self-emp-not-inc, 169542, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 5178, 0, 40, United-States, >50K.
+47, Private, 363418, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, England, >50K.
+42, Private, 198282, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+33, Private, 104620, Masters, 14, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 15, United-States, <=50K.
+29, Private, 176137, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+27, ?, 168347, HS-grad, 9, Separated, ?, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+40, Private, 191814, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 40, United-States, >50K.
+42, Local-gov, 150533, Masters, 14, Married-civ-spouse, Protective-serv, Husband, White, Male, 7688, 0, 35, United-States, >50K.
+28, Private, 115677, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 1902, 40, United-States, >50K.
+19, Private, 182590, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+30, Private, 239648, Some-college, 10, Never-married, Machine-op-inspct, Unmarried, Asian-Pac-Islander, Male, 0, 0, 40, Cambodia, <=50K.
+71, Private, 139031, HS-grad, 9, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+53, Federal-gov, 141340, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K.
+64, Private, 170645, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 2105, 0, 40, United-States, <=50K.
+44, Local-gov, 241506, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 50, United-States, <=50K.
+72, Private, 163921, Some-college, 10, Widowed, Adm-clerical, Unmarried, Black, Female, 0, 0, 20, United-States, <=50K.
+64, Self-emp-not-inc, 104958, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 70, United-States, <=50K.
+51, Private, 144284, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+51, Self-emp-not-inc, 181139, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K.
+55, Private, 209962, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 35, United-States, <=50K.
+34, Private, 87218, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K.
+36, Private, 182189, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+20, Private, 196337, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 35, United-States, <=50K.
+25, Private, 238605, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K.
+40, Private, 106501, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 2829, 0, 50, United-States, <=50K.
+24, Private, 172169, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+39, Private, 242922, HS-grad, 9, Never-married, Tech-support, Not-in-family, Black, Male, 0, 0, 35, United-States, <=50K.
+56, Private, 257555, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+25, Private, 192302, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K.
+38, Self-emp-inc, 115487, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+22, Private, 70160, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+29, Private, 410351, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 43, United-States, <=50K.
+25, Private, 236421, 12th, 8, Never-married, Other-service, Own-child, Black, Male, 0, 0, 40, United-States, <=50K.
+36, Private, 196662, Some-college, 10, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 50, Puerto-Rico, <=50K.
+50, Self-emp-not-inc, 203004, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 99999, 0, 60, United-States, >50K.
+22, Private, 200819, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+19, Private, 222866, 10th, 6, Never-married, Farming-fishing, Other-relative, White, Male, 0, 0, 40, United-States, <=50K.
+20, Private, 204160, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 12, United-States, <=50K.
+54, Private, 141707, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 40, United-States, >50K.
+32, Private, 123157, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 30, ?, <=50K.
+28, Private, 219863, Assoc-acdm, 12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+44, ?, 29841, HS-grad, 9, Divorced, ?, Unmarried, White, Female, 0, 0, 50, United-States, <=50K.
+59, Private, 35723, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 99999, 0, 40, United-States, >50K.
+52, Private, 163948, 9th, 5, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, >50K.
+19, ?, 255117, Some-college, 10, Never-married, ?, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K.
+39, Private, 100032, HS-grad, 9, Married-civ-spouse, Protective-serv, Wife, White, Female, 0, 0, 15, United-States, >50K.
+22, Private, 33087, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+24, ?, 324469, Some-college, 10, Never-married, ?, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K.
+57, Private, 337001, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K.
+18, Private, 151747, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+31, Local-gov, 85057, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, >50K.
+25, Private, 257910, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+37, Private, 94331, 12th, 8, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+26, Private, 250261, 1st-4th, 2, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 55, Mexico, <=50K.
+32, Private, 97359, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+53, State-gov, 121294, 7th-8th, 4, Married-spouse-absent, Other-service, Unmarried, White, Female, 0, 0, 45, Poland, <=50K.
+49, Self-emp-inc, 211020, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 50, United-States, >50K.
+34, ?, 165295, 7th-8th, 4, Separated, ?, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K.
+65, Self-emp-inc, 116057, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 6723, 0, 40, United-States, <=50K.
+52, Private, 469005, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K.
+30, Local-gov, 197886, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+40, Private, 379917, Assoc-voc, 11, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 32, United-States, <=50K.
+28, Private, 30912, Assoc-acdm, 12, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+28, Private, 206889, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+45, Self-emp-not-inc, 87490, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 50, United-States, >50K.
+40, Local-gov, 241851, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+42, Private, 155899, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+25, Federal-gov, 253135, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, ?, <=50K.
+77, Local-gov, 120408, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 20, United-States, <=50K.
+64, Private, 77884, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K.
+43, Private, 162887, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, United-States, >50K.
+30, Private, 154843, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, India, <=50K.
+43, Local-gov, 115511, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 2002, 40, United-States, <=50K.
+40, Private, 121492, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 48, United-States, <=50K.
+31, Private, 103596, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K.
+25, Private, 457070, 7th-8th, 4, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 45, United-States, <=50K.
+19, Private, 73461, HS-grad, 9, Never-married, Tech-support, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+41, Self-emp-inc, 153078, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 1887, 70, South, >50K.
+51, Private, 194788, 10th, 6, Divorced, Adm-clerical, Other-relative, White, Female, 0, 0, 30, United-States, <=50K.
+31, Self-emp-not-inc, 203181, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K.
+35, Private, 230279, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+52, Private, 89041, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K.
+41, State-gov, 92717, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 1504, 40, United-States, <=50K.
+27, Private, 257033, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 60, United-States, <=50K.
+40, Private, 145166, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 4064, 0, 40, United-States, <=50K.
+38, Private, 20308, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K.
+34, ?, 203784, 11th, 7, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+27, Private, 38353, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+25, Private, 133373, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, >50K.
+60, ?, 167978, HS-grad, 9, Never-married, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+20, Private, 166302, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+17, Private, 333304, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+31, Local-gov, 265706, Bachelors, 13, Never-married, Protective-serv, Not-in-family, White, Male, 4650, 0, 40, United-States, <=50K.
+65, Self-emp-not-inc, 111916, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 10, United-States, >50K.
+62, State-gov, 213700, Doctorate, 16, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+39, Private, 276559, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 2444, 45, United-States, >50K.
+36, Private, 36989, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+59, Private, 181566, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 4508, 0, 40, United-States, <=50K.
+23, Private, 202920, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, Germany, <=50K.
+32, Self-emp-not-inc, 24529, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, >50K.
+22, Private, 137320, HS-grad, 9, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+66, ?, 106791, HS-grad, 9, Widowed, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+28, Private, 160510, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, >50K.
+34, ?, 112584, HS-grad, 9, Separated, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+19, Private, 233779, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+54, State-gov, 276005, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+36, Self-emp-inc, 192251, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 0, 1902, 15, United-States, >50K.
+70, ?, 308689, 5th-6th, 3, Married-civ-spouse, ?, Husband, Black, Male, 0, 0, 40, Cuba, <=50K.
+50, Private, 274528, HS-grad, 9, Divorced, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K.
+17, Private, 23856, 11th, 7, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+53, Private, 175220, Bachelors, 13, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 7688, 0, 48, Taiwan, >50K.
+41, Self-emp-not-inc, 233150, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K.
+26, Private, 153169, 10th, 6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+59, Federal-gov, 298449, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 43, United-States, <=50K.
+17, Private, 188949, 11th, 7, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+30, Private, 157911, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K.
+33, Private, 243330, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 55, United-States, <=50K.
+40, Private, 271343, Some-college, 10, Separated, Tech-support, Own-child, White, Female, 0, 0, 32, United-States, <=50K.
+48, Private, 45564, Assoc-voc, 11, Divorced, Prof-specialty, Not-in-family, White, Male, 4650, 0, 50, United-States, <=50K.
+47, Private, 262043, Bachelors, 13, Married-spouse-absent, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+38, Private, 103323, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+30, Self-emp-not-inc, 96480, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 60, United-States, >50K.
+47, Private, 154117, HS-grad, 9, Separated, Craft-repair, Other-relative, White, Female, 0, 0, 40, United-States, <=50K.
+41, Private, 151856, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+20, Private, 132053, HS-grad, 9, Never-married, Adm-clerical, Other-relative, White, Female, 0, 1719, 40, United-States, <=50K.
+29, Private, 199118, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, Guatemala, <=50K.
+36, Self-emp-not-inc, 119272, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 38, United-States, <=50K.
+18, Private, 209792, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+35, Private, 185084, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 48, United-States, >50K.
+41, Private, 230931, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 40, Puerto-Rico, <=50K.
+23, Private, 162282, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+39, Self-emp-not-inc, 185366, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, >50K.
+46, Private, 93557, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+45, Private, 160428, Assoc-acdm, 12, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 43, United-States, <=50K.
+53, Private, 159650, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+54, Local-gov, 137678, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K.
+48, Self-emp-not-inc, 56841, Some-college, 10, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+32, Self-emp-not-inc, 33124, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K.
+31, Private, 219117, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 5455, 0, 60, United-States, <=50K.
+43, Private, 208045, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K.
+43, Private, 128578, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 60, United-States, >50K.
+28, Private, 351731, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 50, United-States, <=50K.
+46, Private, 201694, Assoc-acdm, 12, Separated, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+34, Private, 205152, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+73, ?, 30713, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 10, United-States, <=50K.
+25, Private, 190107, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K.
+23, Federal-gov, 244480, Some-college, 10, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 15, United-States, <=50K.
+32, Private, 347112, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K.
+37, Federal-gov, 106297, HS-grad, 9, Divorced, Handlers-cleaners, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+36, Private, 128516, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K.
+27, Private, 55950, Some-college, 10, Never-married, Exec-managerial, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K.
+29, Private, 324505, Some-college, 10, Separated, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+42, Private, 130760, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+24, Local-gov, 174413, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 1974, 40, United-States, <=50K.
+29, ?, 20877, Some-college, 10, Never-married, ?, Unmarried, White, Female, 0, 0, 35, United-States, <=50K.
+22, Private, 144238, 11th, 7, Never-married, Farming-fishing, Own-child, White, Female, 0, 0, 38, United-States, <=50K.
+47, Private, 193047, Doctorate, 16, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+43, Private, 300099, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+65, ?, 369902, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 8, United-States, <=50K.
+56, Self-emp-not-inc, 42166, Bachelors, 13, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+54, Private, 171924, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, Canada, >50K.
+50, Private, 201984, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+29, Private, 306420, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K.
+32, Self-emp-not-inc, 46746, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 65, United-States, <=50K.
+37, Private, 185325, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 44, United-States, <=50K.
+30, Private, 201697, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+30, Private, 181372, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K.
+39, Private, 112077, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+23, Private, 370057, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+32, Private, 72591, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+37, Local-gov, 105803, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+20, Private, 198478, HS-grad, 9, Never-married, Farming-fishing, Other-relative, White, Male, 0, 0, 40, United-States, <=50K.
+33, Private, 119017, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 50, United-States, <=50K.
+42, Private, 138872, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 99, United-States, <=50K.
+56, Federal-gov, 97213, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K.
+40, Private, 36556, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, <=50K.
+38, State-gov, 200904, 10th, 6, Separated, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+49, Private, 186256, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 5013, 0, 30, United-States, <=50K.
+18, Private, 115815, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, England, <=50K.
+42, Private, 308770, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, >50K.
+25, Local-gov, 187792, Some-college, 10, Divorced, Protective-serv, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+38, Private, 233571, Some-college, 10, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 1902, 40, United-States, >50K.
+26, Private, 131913, Bachelors, 13, Never-married, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K.
+26, Private, 31558, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 90, United-States, >50K.
+33, Private, 255004, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 2354, 0, 61, United-States, <=50K.
+25, Local-gov, 315287, Some-college, 10, Never-married, Protective-serv, Other-relative, Black, Male, 0, 0, 40, Trinadad&Tobago, <=50K.
+18, Private, 182545, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, Black, Male, 0, 0, 40, United-States, <=50K.
+59, Private, 750972, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+69, Self-emp-not-inc, 505365, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 6514, 0, 45, United-States, >50K.
+22, Local-gov, 177475, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+40, Private, 203761, 11th, 7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+40, Self-emp-not-inc, 36104, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+33, Self-emp-inc, 179708, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+51, Self-emp-inc, 77392, 10th, 6, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, >50K.
+73, ?, 86709, Some-college, 10, Never-married, ?, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 38, United-States, <=50K.
+59, Local-gov, 173992, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 35, United-States, <=50K.
+20, Private, 119665, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+37, Private, 188391, Assoc-acdm, 12, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 46, United-States, <=50K.
+51, Private, 326005, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, England, >50K.
+24, Private, 203203, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K.
+59, Private, 64102, 10th, 6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+21, Private, 169188, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 35, United-States, <=50K.
+45, Private, 385793, 5th-6th, 3, Married-civ-spouse, Craft-repair, Husband, Other, Male, 0, 0, 40, Mexico, <=50K.
+25, Private, 390537, Some-college, 10, Never-married, Sales, Unmarried, White, Female, 0, 0, 25, El-Salvador, <=50K.
+29, Private, 115677, 11th, 7, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 42, United-States, <=50K.
+22, Private, 230248, Assoc-acdm, 12, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K.
+66, ?, 59056, 10th, 6, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+72, Private, 108038, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 60, Cuba, >50K.
+39, Local-gov, 282461, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K.
+36, Private, 184659, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 40, United-States, >50K.
+65, Private, 182470, Assoc-voc, 11, Married-spouse-absent, Craft-repair, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K.
+63, Private, 458609, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 3674, 0, 30, United-States, <=50K.
+58, Private, 104476, Some-college, 10, Separated, Adm-clerical, Not-in-family, White, Female, 0, 1092, 40, United-States, <=50K.
+27, Private, 200802, Assoc-voc, 11, Separated, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+58, Private, 170608, 10th, 6, Separated, Protective-serv, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+52, Private, 197322, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+37, Private, 118358, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+21, ?, 520231, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+61, Self-emp-not-inc, 198017, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, ?, <=50K.
+29, Private, 131045, Assoc-voc, 11, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+19, ?, 272166, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 1602, 30, United-States, <=50K.
+30, Private, 110083, Assoc-voc, 11, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+32, Private, 335569, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+47, Private, 167159, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K.
+50, Private, 170326, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+39, Private, 319052, Bachelors, 13, Married-civ-spouse, Handlers-cleaners, Wife, Asian-Pac-Islander, Female, 0, 0, 37, Philippines, <=50K.
+57, Private, 174662, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+40, Private, 110732, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 50, United-States, <=50K.
+27, Federal-gov, 409815, Some-college, 10, Divorced, Adm-clerical, Other-relative, Black, Female, 0, 0, 50, United-States, <=50K.
+28, Private, 79874, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 37, United-States, <=50K.
+49, Private, 116641, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 15024, 0, 35, United-States, >50K.
+33, Private, 87209, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+64, Local-gov, 152172, 10th, 6, Married-civ-spouse, Machine-op-inspct, Wife, White, Male, 0, 0, 40, ?, <=50K.
+46, Self-emp-not-inc, 142222, Some-college, 10, Separated, Exec-managerial, Unmarried, White, Female, 1151, 0, 60, United-States, <=50K.
+50, Local-gov, 120521, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male, 0, 0, 50, United-States, >50K.
+43, Self-emp-not-inc, 247752, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+26, Private, 34161, Some-college, 10, Never-married, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+33, Private, 589155, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+50, Private, 149784, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+38, Private, 402522, 1st-4th, 2, Divorced, Farming-fishing, Unmarried, White, Male, 0, 0, 40, Thailand, <=50K.
+28, Private, 228346, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+21, Private, 415755, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+38, Private, 289653, Bachelors, 13, Divorced, Sales, Unmarried, White, Male, 0, 0, 45, United-States, >50K.
+17, Private, 165018, 10th, 6, Never-married, Sales, Own-child, White, Female, 0, 0, 10, United-States, <=50K.
+19, Private, 322866, HS-grad, 9, Never-married, Other-service, Own-child, Black, Female, 0, 0, 40, United-States, <=50K.
+45, Self-emp-not-inc, 244813, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 38, United-States, >50K.
+27, Private, 538193, 11th, 7, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 50, United-States, <=50K.
+45, Private, 256367, 12th, 8, Divorced, Farming-fishing, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+46, Private, 95864, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+57, Self-emp-not-inc, 291167, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+39, Private, 126569, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Poland, <=50K.
+34, Private, 128016, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 99999, 0, 40, United-States, >50K.
+18, ?, 323584, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 10, United-States, <=50K.
+65, ?, 115431, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 20, United-States, <=50K.
+26, Private, 246156, 10th, 6, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 24, Honduras, <=50K.
+44, Private, 346081, HS-grad, 9, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K.
+38, Local-gov, 156383, Some-college, 10, Never-married, Protective-serv, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+49, Private, 151267, Assoc-voc, 11, Divorced, Prof-specialty, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+41, Local-gov, 249039, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+52, Federal-gov, 157454, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+30, Private, 143540, 9th, 5, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+72, State-gov, 120733, 7th-8th, 4, Widowed, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+48, Private, 344381, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 42, United-States, >50K.
+32, Private, 149787, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K.
+22, Private, 268525, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+24, Private, 396099, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K.
+24, Private, 221442, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K.
+55, Private, 115198, 9th, 5, Married-civ-spouse, Transport-moving, Wife, White, Female, 0, 0, 48, United-States, <=50K.
+48, Federal-gov, 102359, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+42, Local-gov, 298885, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+34, Private, 93213, Masters, 14, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 30, United-States, <=50K.
+40, Private, 130760, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 42, United-States, <=50K.
+29, ?, 236834, Some-college, 10, Divorced, ?, Own-child, White, Female, 0, 0, 15, United-States, <=50K.
+39, Self-emp-inc, 31709, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 20, United-States, >50K.
+45, Private, 192053, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+21, Private, 95918, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 43, Germany, <=50K.
+36, Self-emp-inc, 132879, Masters, 14, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 1887, 40, United-States, >50K.
+28, Private, 64940, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+57, Private, 106910, HS-grad, 9, Divorced, Adm-clerical, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K.
+22, Private, 210474, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+31, Local-gov, 393965, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 8, United-States, <=50K.
+23, Local-gov, 117789, Assoc-voc, 11, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K.
+35, Self-emp-not-inc, 134498, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 45, United-States, >50K.
+28, Private, 212068, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 1980, 40, United-States, <=50K.
+27, Private, 169544, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+76, ?, 32995, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 5, United-States, <=50K.
+37, Private, 261241, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 1485, 50, United-States, <=50K.
+43, Private, 145784, HS-grad, 9, Never-married, Other-service, Other-relative, Asian-Pac-Islander, Female, 0, 0, 40, ?, <=50K.
+33, Private, 252646, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K.
+56, Private, 161944, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+50, Self-emp-inc, 249644, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+35, Private, 195081, HS-grad, 9, Never-married, Sales, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+36, Private, 428251, Bachelors, 13, Never-married, Tech-support, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+59, Self-emp-not-inc, 198145, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, >50K.
+42, Private, 348059, Doctorate, 16, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K.
+21, Private, 43587, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 30, United-States, <=50K.
+24, Private, 318612, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 1504, 40, United-States, <=50K.
+17, ?, 235661, 10th, 6, Never-married, ?, Own-child, White, Female, 0, 0, 30, United-States, <=50K.
+29, Private, 129528, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+61, Private, 200427, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+35, Private, 188243, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 48, United-States, <=50K.
+56, Self-emp-not-inc, 306633, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+44, Self-emp-not-inc, 85019, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, ?, >50K.
+22, ?, 356286, HS-grad, 9, Never-married, ?, Own-child, Black, Male, 0, 0, 10, United-States, <=50K.
+45, Private, 102771, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+40, Local-gov, 34739, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 36, United-States, <=50K.
+22, ?, 201959, HS-grad, 9, Never-married, ?, Own-child, Black, Male, 0, 0, 40, United-States, <=50K.
+28, Private, 126743, 5th-6th, 3, Never-married, Other-service, Other-relative, White, Male, 2176, 0, 52, Mexico, <=50K.
+46, Local-gov, 85341, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 56, United-States, <=50K.
+57, Private, 275943, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+41, Private, 82823, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 5013, 0, 30, United-States, <=50K.
+30, Private, 183388, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+21, Private, 116489, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+62, Self-emp-not-inc, 215789, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 50, United-States, >50K.
+19, Private, 365871, Some-college, 10, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 32, United-States, <=50K.
+63, Local-gov, 199275, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 8614, 0, 38, United-States, >50K.
+39, Self-emp-not-inc, 34111, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 70, United-States, <=50K.
+72, ?, 314567, Some-college, 10, Widowed, ?, Not-in-family, White, Female, 0, 0, 8, United-States, <=50K.
+40, Self-emp-inc, 102576, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 55, Trinadad&Tobago, <=50K.
+27, Private, 103524, HS-grad, 9, Never-married, Handlers-cleaners, Unmarried, White, Male, 0, 0, 35, United-States, <=50K.
+47, Self-emp-not-inc, 114222, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 25, United-States, <=50K.
+28, Private, 246933, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+27, Private, 107812, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+26, Self-emp-not-inc, 109162, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 25, United-States, <=50K.
+59, Private, 112798, HS-grad, 9, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 60, United-States, <=50K.
+33, Private, 30612, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+35, Private, 105994, 11th, 7, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+57, Private, 113090, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K.
+30, Private, 26252, Assoc-acdm, 12, Never-married, Adm-clerical, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K.
+31, Private, 49469, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 55, United-States, >50K.
+24, Private, 172169, Some-college, 10, Never-married, Handlers-cleaners, Unmarried, White, Male, 0, 0, 30, United-States, <=50K.
+36, Private, 151029, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 55, United-States, <=50K.
+46, Private, 134242, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+38, State-gov, 87282, Assoc-voc, 11, Never-married, Adm-clerical, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K.
+19, Private, 84250, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 15, United-States, <=50K.
+33, Private, 76107, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 4386, 0, 60, United-States, >50K.
+59, Self-emp-inc, 36085, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 60, United-States, >50K.
+32, Private, 220333, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 46, United-States, >50K.
+58, Private, 105363, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Portugal, <=50K.
+19, Private, 198668, 12th, 8, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 47, United-States, <=50K.
+43, Private, 157473, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+20, Private, 126568, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+56, Self-emp-inc, 220896, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+57, Federal-gov, 236048, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+42, Private, 34218, Prof-school, 15, Divorced, Prof-specialty, Not-in-family, White, Male, 99999, 0, 80, United-States, >50K.
+62, Private, 155915, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+37, Private, 139684, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+34, Private, 23778, Bachelors, 13, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+24, Private, 236804, Some-college, 10, Divorced, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+78, Private, 454321, 1st-4th, 2, Widowed, Handlers-cleaners, Other-relative, White, Male, 0, 0, 20, Nicaragua, <=50K.
+43, Private, 229148, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, Black, Male, 0, 0, 50, Outlying-US(Guam-USVI-etc), <=50K.
+60, Local-gov, 119986, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+39, Local-gov, 455399, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, Black, Male, 15024, 0, 40, United-States, >50K.
+21, Private, 301694, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 35, Mexico, <=50K.
+64, ?, 155142, HS-grad, 9, Widowed, ?, Not-in-family, Black, Male, 0, 0, 20, United-States, <=50K.
+27, Private, 259652, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+44, State-gov, 156642, HS-grad, 9, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 39, United-States, <=50K.
+37, Private, 94208, 1st-4th, 2, Divorced, Other-service, Unmarried, White, Female, 0, 0, 35, Mexico, <=50K.
+31, Private, 117719, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Portugal, <=50K.
+27, Local-gov, 100817, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K.
+31, Private, 144990, HS-grad, 9, Married-spouse-absent, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+37, Self-emp-inc, 198841, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K.
+43, Private, 223881, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 7298, 0, 40, United-States, >50K.
+18, Private, 264017, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 16, Canada, <=50K.
+23, State-gov, 26842, Assoc-voc, 11, Married-AF-spouse, Adm-clerical, Wife, White, Female, 0, 0, 30, United-States, <=50K.
+40, Private, 477345, 7th-8th, 4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 2057, 40, Mexico, <=50K.
+22, Private, 267412, Preschool, 1, Never-married, Other-service, Own-child, Black, Female, 594, 0, 20, Jamaica, <=50K.
+61, Self-emp-inc, 190610, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K.
+63, Private, 281237, Some-college, 10, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+59, Private, 254593, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K.
+33, Private, 159187, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 54, United-States, >50K.
+51, State-gov, 200450, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, >50K.
+38, Local-gov, 140854, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K.
+52, Private, 242517, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 7688, 0, 40, United-States, >50K.
+47, Self-emp-not-inc, 294671, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K.
+20, State-gov, 68358, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 10, United-States, <=50K.
+53, Private, 107096, Bachelors, 13, Never-married, Sales, Unmarried, White, Male, 0, 1669, 50, United-States, <=50K.
+43, Private, 244419, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+26, Self-emp-not-inc, 195636, 10th, 6, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 75, United-States, >50K.
+39, Private, 368586, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Female, 0, 0, 37, Puerto-Rico, <=50K.
+30, Private, 215808, HS-grad, 9, Separated, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K.
+45, Private, 165822, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+25, Private, 193379, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+45, Private, 120121, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+25, Local-gov, 311603, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K.
+48, Private, 323798, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 38, United-States, >50K.
+32, Private, 253890, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+67, ?, 105252, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 20, United-States, <=50K.
+37, Private, 220696, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+51, Private, 194097, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 30, United-States, >50K.
+28, Private, 181291, Some-college, 10, Married-civ-spouse, Other-service, Own-child, White, Female, 7688, 0, 40, United-States, >50K.
+28, Private, 258594, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K.
+28, Private, 138976, HS-grad, 9, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 48, United-States, <=50K.
+22, Private, 81145, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+32, Private, 250853, Assoc-voc, 11, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+35, ?, 365739, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+32, Private, 257863, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K.
+27, Private, 203697, Masters, 14, Never-married, Tech-support, Own-child, White, Male, 0, 0, 50, United-States, <=50K.
+54, Private, 87205, HS-grad, 9, Separated, Adm-clerical, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K.
+66, Self-emp-not-inc, 195161, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 20, ?, <=50K.
+41, Private, 470486, 1st-4th, 2, Married-spouse-absent, Handlers-cleaners, Unmarried, White, Male, 0, 1719, 40, Mexico, <=50K.
+46, Local-gov, 93557, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 3103, 0, 50, United-States, >50K.
+39, Private, 107991, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K.
+51, Private, 63081, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K.
+26, Private, 73988, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+53, Private, 136080, HS-grad, 9, Divorced, Priv-house-serv, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K.
+38, State-gov, 49115, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 27, United-States, <=50K.
+30, Private, 314649, HS-grad, 9, Married-spouse-absent, Farming-fishing, Unmarried, Asian-Pac-Islander, Male, 0, 0, 40, ?, <=50K.
+18, Private, 166224, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+44, ?, 118484, Prof-school, 15, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 80, United-States, <=50K.
+56, Local-gov, 291529, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K.
+41, Self-emp-not-inc, 252392, 5th-6th, 3, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 96, Mexico, <=50K.
+42, Private, 86912, Bachelors, 13, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+44, Private, 193537, 9th, 5, Never-married, Priv-house-serv, Unmarried, White, Female, 0, 0, 50, Puerto-Rico, <=50K.
+33, Private, 83231, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+43, Private, 325461, Some-college, 10, Divorced, Tech-support, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+21, Private, 36011, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+45, Private, 274869, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+38, Private, 178322, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 70, United-States, >50K.
+38, Private, 67666, Masters, 14, Never-married, Exec-managerial, Not-in-family, Black, Female, 0, 0, 38, United-States, <=50K.
+33, Private, 153005, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+27, Private, 138269, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K.
+33, Private, 265204, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+43, Private, 437318, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K.
+38, Private, 208109, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 50, United-States, <=50K.
+50, Self-emp-not-inc, 91103, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 51, United-States, >50K.
+57, State-gov, 388225, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+76, Self-emp-not-inc, 42162, HS-grad, 9, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 2, United-States, <=50K.
+52, Self-emp-not-inc, 417227, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 70, United-States, <=50K.
+36, State-gov, 180220, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+30, Private, 187560, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+39, Private, 127573, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 2202, 0, 45, United-States, <=50K.
+51, Federal-gov, 68898, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+31, Private, 78662, HS-grad, 9, Separated, Sales, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K.
+56, Private, 158776, 11th, 7, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K.
+28, Private, 164575, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+38, Private, 328301, Some-college, 10, Never-married, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+49, Private, 213897, Bachelors, 13, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 50, Japan, >50K.
+40, Private, 230684, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+23, Private, 381679, Some-college, 10, Never-married, Tech-support, Other-relative, White, Female, 0, 0, 40, United-States, <=50K.
+44, Local-gov, 360884, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+36, State-gov, 256992, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K.
+31, Private, 112115, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+24, Private, 113577, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+35, Private, 189382, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K.
+45, Private, 201080, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K.
+46, Private, 344415, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+57, Private, 201232, HS-grad, 9, Married-civ-spouse, Priv-house-serv, Husband, White, Male, 0, 0, 30, United-States, <=50K.
+20, Private, 332194, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 20, United-States, <=50K.
+30, Private, 216864, 9th, 5, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+60, Private, 290922, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 27, United-States, <=50K.
+42, Local-gov, 223548, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+25, Private, 109419, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 8614, 0, 45, United-States, >50K.
+27, Private, 135296, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K.
+59, State-gov, 100270, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K.
+18, Private, 99497, 12th, 8, Never-married, Other-service, Own-child, Other, Female, 0, 0, 30, United-States, <=50K.
+26, ?, 223665, HS-grad, 9, Divorced, ?, Unmarried, White, Female, 0, 0, 84, United-States, <=50K.
+48, Self-emp-inc, 341762, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+41, Private, 236483, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+20, ?, 311570, HS-grad, 9, Married-civ-spouse, ?, Other-relative, White, Female, 0, 0, 32, United-States, <=50K.
+36, Private, 588739, Bachelors, 13, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, India, <=50K.
+44, Self-emp-inc, 79521, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 15024, 0, 55, United-States, >50K.
+36, Private, 327435, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+32, Private, 229636, Assoc-acdm, 12, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 5013, 0, 60, United-States, <=50K.
+26, Private, 124483, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 25, India, <=50K.
+58, Private, 218764, Assoc-voc, 11, Widowed, Prof-specialty, Unmarried, White, Female, 0, 0, 45, United-States, <=50K.
+39, State-gov, 178100, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+19, ?, 197057, Some-college, 10, Never-married, ?, Own-child, Black, Male, 0, 0, 30, United-States, <=50K.
+39, Private, 191161, HS-grad, 9, Separated, Craft-repair, Unmarried, White, Male, 0, 0, 55, United-States, <=50K.
+65, Private, 266828, HS-grad, 9, Widowed, Craft-repair, Not-in-family, White, Male, 1848, 0, 40, United-States, <=50K.
+29, Private, 251526, Some-college, 10, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 20, United-States, <=50K.
+22, ?, 145964, HS-grad, 9, Never-married, ?, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+23, Private, 307149, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 25, United-States, <=50K.
+36, Private, 37238, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K.
+32, Private, 129020, Bachelors, 13, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+30, Private, 209432, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+38, Private, 139364, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, >50K.
+25, Federal-gov, 169124, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+41, Private, 116391, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+31, Private, 176025, HS-grad, 9, Never-married, Tech-support, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+66, Self-emp-not-inc, 44712, HS-grad, 9, Married-civ-spouse, Craft-repair, Wife, White, Female, 0, 0, 15, United-States, <=50K.
+35, Self-emp-not-inc, 190759, Some-college, 10, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+36, Private, 185692, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 35, United-States, <=50K.
+17, Private, 80576, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 0, 16, United-States, <=50K.
+31, Private, 282173, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Mexico, <=50K.
+20, Private, 187158, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+25, Private, 214468, Bachelors, 13, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+59, Self-emp-not-inc, 185410, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 70, United-States, <=50K.
+37, Private, 87757, Assoc-acdm, 12, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+42, Private, 449578, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, >50K.
+31, Private, 309028, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+32, Private, 155293, 12th, 8, Divorced, Sales, Not-in-family, White, Female, 0, 1762, 45, United-States, <=50K.
+46, Private, 32825, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+36, Private, 216845, 1st-4th, 2, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Mexico, <=50K.
+45, State-gov, 149640, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 38, United-States, >50K.
+19, State-gov, 140985, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K.
+38, Private, 218188, Assoc-acdm, 12, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K.
+27, State-gov, 187327, HS-grad, 9, Separated, Protective-serv, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+33, Private, 182511, Assoc-voc, 11, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+55, Self-emp-not-inc, 157639, 9th, 5, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 58, United-States, <=50K.
+46, Local-gov, 258498, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+29, Private, 87632, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+22, Private, 228394, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 36, United-States, <=50K.
+59, State-gov, 200732, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 50, Philippines, >50K.
+36, Private, 49657, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K.
+27, Local-gov, 106179, Bachelors, 13, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K.
+21, Private, 135267, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K.
+65, ?, 486436, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 45, United-States, >50K.
+29, Private, 69757, Bachelors, 13, Divorced, Exec-managerial, Other-relative, White, Female, 0, 0, 50, United-States, <=50K.
+53, Private, 190319, Bachelors, 13, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 1485, 40, Thailand, >50K.
+20, Private, 188409, Some-college, 10, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K.
+54, Private, 181246, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+32, Private, 103573, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+18, Private, 180725, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 16, United-States, <=50K.
+26, State-gov, 34862, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 38, ?, <=50K.
+55, Self-emp-inc, 275236, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 48, United-States, >50K.
+40, Self-emp-not-inc, 76487, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+37, Federal-gov, 75073, Assoc-acdm, 12, Never-married, Protective-serv, Not-in-family, Black, Male, 0, 0, 42, United-States, <=50K.
+23, Private, 231929, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+45, Private, 186410, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K.
+42, Self-emp-not-inc, 344624, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 99, United-States, >50K.
+66, Private, 97847, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 38, United-States, <=50K.
+30, Private, 387521, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 40, United-States, >50K.
+25, ?, 193511, Bachelors, 13, Never-married, ?, Own-child, White, Female, 0, 0, 35, El-Salvador, <=50K.
+20, Private, 325033, 12th, 8, Never-married, Other-service, Own-child, Black, Male, 0, 0, 35, United-States, >50K.
+37, Private, 285637, HS-grad, 9, Never-married, Transport-moving, Not-in-family, Black, Male, 0, 0, 50, United-States, <=50K.
+20, Private, 186014, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K.
+27, Private, 203160, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+20, ?, 190290, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 35, United-States, <=50K.
+33, Private, 219553, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+53, Private, 290882, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K.
+54, Private, 133403, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 1902, 35, United-States, <=50K.
+33, Private, 150154, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+22, Private, 203076, 10th, 6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+39, Private, 158592, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+23, Federal-gov, 215115, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 25, United-States, <=50K.
+20, Private, 117476, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+19, Private, 159269, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 18, United-States, <=50K.
+24, Private, 189924, Assoc-voc, 11, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 60, United-States, <=50K.
+32, Local-gov, 226296, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K.
+38, Private, 103886, Some-college, 10, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+34, Federal-gov, 148508, Some-college, 10, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+39, Private, 79586, Some-college, 10, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male, 0, 0, 35, India, >50K.
+40, ?, 95049, Assoc-voc, 11, Separated, ?, Own-child, White, Female, 0, 0, 40, ?, <=50K.
+45, Self-emp-inc, 192835, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K.
+21, Private, 316184, HS-grad, 9, Never-married, Other-service, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K.
+49, Private, 132476, Doctorate, 16, Divorced, Tech-support, Unmarried, White, Male, 7430, 0, 40, United-States, >50K.
+44, Private, 76487, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+18, Private, 302712, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K.
+42, Private, 225193, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+49, Private, 102092, 11th, 7, Widowed, Craft-repair, Not-in-family, White, Male, 2174, 0, 40, United-States, <=50K.
+51, Private, 173754, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K.
+20, Private, 38238, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 25, United-States, <=50K.
+41, Private, 212027, 11th, 7, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+25, Private, 173593, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 75, United-States, <=50K.
+27, Local-gov, 132718, HS-grad, 9, Never-married, Transport-moving, Own-child, Black, Male, 0, 0, 40, United-States, <=50K.
+23, Private, 103588, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+37, Local-gov, 75387, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+22, Private, 38444, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 10, United-States, <=50K.
+21, Private, 35603, HS-grad, 9, Never-married, Protective-serv, Not-in-family, Black, Male, 0, 0, 11, United-States, <=50K.
+24, Private, 588484, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 594, 0, 40, United-States, <=50K.
+62, ?, 191118, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+70, ?, 88638, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 8, United-States, <=50K.
+61, Private, 27086, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+63, Private, 184319, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 24, United-States, <=50K.
+31, Private, 307375, Some-college, 10, Never-married, Other-service, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K.
+17, Private, 93511, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 15, United-States, <=50K.
+23, Private, 32950, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+40, Private, 313945, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+47, Local-gov, 275517, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 72, United-States, <=50K.
+55, Private, 132145, 9th, 5, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+37, Self-emp-not-inc, 377798, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+48, Private, 198000, Bachelors, 13, Never-married, Sales, Other-relative, White, Female, 0, 0, 38, United-States, >50K.
+67, Private, 166591, HS-grad, 9, Divorced, Priv-house-serv, Unmarried, Black, Female, 1848, 0, 99, United-States, <=50K.
+72, Self-emp-not-inc, 117030, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+31, Local-gov, 275369, Some-college, 10, Never-married, Protective-serv, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+24, Private, 300584, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+27, Local-gov, 230997, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K.
+32, Private, 73199, 12th, 8, Never-married, Farming-fishing, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K.
+61, Private, 362068, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+34, Private, 162604, HS-grad, 9, Never-married, Craft-repair, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K.
+40, Private, 86143, Assoc-voc, 11, Married-civ-spouse, Handlers-cleaners, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K.
+39, Private, 116477, Assoc-voc, 11, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+49, Self-emp-not-inc, 102308, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 35, United-States, >50K.
+57, Self-emp-inc, 199067, 7th-8th, 4, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 90, Greece, >50K.
+47, Private, 205100, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K.
+38, Private, 127493, Assoc-acdm, 12, Widowed, Sales, Unmarried, White, Female, 0, 0, 35, United-States, <=50K.
+77, Self-emp-not-inc, 34761, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+20, Private, 221480, Some-college, 10, Never-married, Tech-support, Unmarried, White, Female, 0, 0, 8, United-States, <=50K.
+37, Self-emp-not-inc, 216473, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 30, United-States, <=50K.
+43, Self-emp-inc, 147206, Assoc-acdm, 12, Never-married, Exec-managerial, Not-in-family, White, Male, 27828, 0, 45, United-States, >50K.
+50, Private, 162868, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K.
+68, Self-emp-not-inc, 335701, 7th-8th, 4, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+55, Private, 250322, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+52, Local-gov, 182856, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 10520, 0, 45, United-States, >50K.
+24, Private, 97743, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 37, United-States, <=50K.
+42, Private, 227065, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K.
+51, Private, 59840, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Male, 2174, 0, 40, United-States, <=50K.
+26, Private, 140446, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+32, Federal-gov, 86150, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, Asian-Pac-Islander, Female, 0, 1977, 40, United-States, >50K.
+51, Private, 147876, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+26, Private, 219199, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+46, Private, 28497, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 8, United-States, <=50K.
+27, Private, 405177, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 35, United-States, <=50K.
+29, Private, 320451, Bachelors, 13, Married-spouse-absent, Sales, Other-relative, Asian-Pac-Islander, Male, 0, 0, 40, ?, <=50K.
+71, Self-emp-not-inc, 30661, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 6514, 0, 40, United-States, >50K.
+30, Local-gov, 38268, HS-grad, 9, Separated, Other-service, Unmarried, White, Male, 0, 0, 40, United-States, >50K.
+42, Private, 199900, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 52, United-States, <=50K.
+39, Self-emp-inc, 172538, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K.
+17, Private, 194517, 11th, 7, Never-married, Farming-fishing, Own-child, White, Female, 0, 0, 18, United-States, <=50K.
+20, Private, 129024, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 35, United-States, <=50K.
+37, Private, 203828, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+40, Private, 146659, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+27, Private, 29261, Assoc-acdm, 12, Never-married, Other-service, Other-relative, White, Male, 0, 0, 42, United-States, <=50K.
+19, Private, 366109, 10th, 6, Never-married, Other-service, Other-relative, White, Male, 0, 0, 40, United-States, <=50K.
+29, Private, 212091, Some-college, 10, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+42, Private, 202872, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 36, United-States, >50K.
+31, Private, 373903, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K.
+41, Private, 289403, HS-grad, 9, Divorced, Tech-support, Not-in-family, Black, Male, 0, 0, 40, ?, <=50K.
+21, Private, 60552, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+46, Private, 188325, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, >50K.
+21, ?, 398480, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+37, Federal-gov, 254202, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 27828, 0, 50, United-States, >50K.
+41, Self-emp-inc, 277858, Bachelors, 13, Widowed, Exec-managerial, Not-in-family, Black, Female, 0, 0, 45, United-States, <=50K.
+50, Private, 102346, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 36, ?, <=50K.
+34, Private, 226629, 12th, 8, Separated, Sales, Unmarried, White, Female, 0, 0, 34, United-States, <=50K.
+47, Private, 219632, 1st-4th, 2, Widowed, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, Mexico, <=50K.
+21, Private, 449101, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+49, Private, 330535, Doctorate, 16, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 40, United-States, >50K.
+38, Private, 202937, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, >50K.
+43, Federal-gov, 269733, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+40, Self-emp-not-inc, 355856, Bachelors, 13, Married-spouse-absent, Exec-managerial, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K.
+48, Self-emp-inc, 275100, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 70, Greece, >50K.
+30, State-gov, 136997, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+38, Private, 136931, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 38, Thailand, <=50K.
+31, ?, 346736, HS-grad, 9, Never-married, ?, Other-relative, White, Female, 0, 0, 45, United-States, <=50K.
+30, Local-gov, 264936, Bachelors, 13, Separated, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+37, Private, 269722, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 38, United-States, <=50K.
+28, Private, 251905, Masters, 14, Never-married, Sales, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K.
+57, Private, 180636, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+25, Private, 116915, Some-college, 10, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K.
+40, Self-emp-not-inc, 182516, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+49, Local-gov, 199862, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 2179, 40, United-States, <=50K.
+44, Private, 127482, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 7688, 0, 40, United-States, >50K.
+44, Private, 142968, HS-grad, 9, Widowed, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+18, Private, 115258, 10th, 6, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+45, Private, 190822, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 31, United-States, <=50K.
+50, Local-gov, 68898, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K.
+17, Self-emp-inc, 151999, 12th, 8, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 16, United-States, <=50K.
+28, Self-emp-not-inc, 236471, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+38, Local-gov, 29075, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, Amer-Indian-Eskimo, Female, 5013, 0, 40, United-States, <=50K.
+43, State-gov, 186990, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 37, United-States, <=50K.
+48, Private, 210369, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+57, ?, 179644, Assoc-voc, 11, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 5, United-States, <=50K.
+28, Private, 119128, Assoc-acdm, 12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+46, Private, 188386, HS-grad, 9, Divorced, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+28, Private, 120645, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, Black, Female, 0, 0, 40, United-States, <=50K.
+58, Local-gov, 303176, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+23, Private, 358434, Bachelors, 13, Never-married, Prof-specialty, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+57, Private, 36091, HS-grad, 9, Separated, Other-service, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K.
+48, Private, 250648, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, >50K.
+49, Private, 131918, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, >50K.
+40, Self-emp-not-inc, 151504, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, >50K.
+41, Private, 161880, HS-grad, 9, Separated, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 50, United-States, <=50K.
+45, Private, 123681, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+27, Private, 94090, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+22, ?, 129980, Some-college, 10, Never-married, ?, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K.
+50, Private, 237258, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 27828, 0, 48, United-States, >50K.
+65, Self-emp-not-inc, 147377, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 16, United-States, <=50K.
+36, Federal-gov, 253627, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, Puerto-Rico, >50K.
+63, ?, 528618, 10th, 6, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+22, Private, 27881, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+28, Private, 79874, Assoc-voc, 11, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+18, Private, 156981, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+46, Local-gov, 195418, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 40, United-States, >50K.
+37, Private, 175185, 11th, 7, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+46, Private, 273796, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 65, United-States, >50K.
+37, State-gov, 373699, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K.
+31, Private, 82508, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+38, Private, 162551, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 35, Hong, <=50K.
+24, Private, 166297, Bachelors, 13, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Male, 0, 0, 25, United-States, <=50K.
+25, Local-gov, 100125, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+30, Private, 175690, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+45, Private, 184441, 7th-8th, 4, Never-married, Machine-op-inspct, Unmarried, White, Female, 0, 0, 42, United-States, <=50K.
+28, Self-emp-inc, 167737, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 5178, 0, 40, United-States, >50K.
+58, Private, 186121, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+44, Self-emp-not-inc, 177851, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+35, Private, 106961, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+54, Private, 419712, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+40, Local-gov, 208875, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K.
+24, Private, 373628, Bachelors, 13, Never-married, Sales, Own-child, White, Female, 0, 1504, 40, United-States, <=50K.
+26, Private, 331861, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, England, <=50K.
+29, Private, 249948, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K.
+50, Private, 99316, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+22, Private, 252570, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+17, Private, 89160, 12th, 8, Never-married, Priv-house-serv, Own-child, White, Female, 0, 0, 18, United-States, <=50K.
+25, Private, 49092, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+35, Private, 87757, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+42, Private, 806552, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+45, Self-emp-not-inc, 70754, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 60, United-States, >50K.
+28, Private, 150437, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K.
+71, ?, 46836, 7th-8th, 4, Separated, ?, Not-in-family, Black, Male, 0, 0, 15, United-States, <=50K.
+34, State-gov, 117186, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K.
+49, Private, 239625, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+39, Private, 128483, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 60, United-States, <=50K.
+17, Private, 53367, 12th, 8, Never-married, Other-service, Other-relative, White, Female, 0, 0, 25, United-States, <=50K.
+20, Private, 358355, 9th, 5, Never-married, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+53, Private, 139522, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 1573, 40, Italy, <=50K.
+26, Private, 93017, Assoc-voc, 11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+49, Private, 101320, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Female, 0, 1564, 40, Canada, >50K.
+57, Self-emp-inc, 105582, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2415, 40, United-States, >50K.
+40, Private, 121718, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 55, United-States, >50K.
+19, Private, 111836, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 35, United-States, <=50K.
+58, Private, 96840, HS-grad, 9, Widowed, Craft-repair, Unmarried, White, Female, 0, 0, 37, United-States, <=50K.
+62, Local-gov, 176839, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 10, United-States, <=50K.
+41, Local-gov, 193553, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 64, United-States, >50K.
+46, Private, 168232, HS-grad, 9, Married-spouse-absent, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+53, Self-emp-not-inc, 146325, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Yugoslavia, >50K.
+33, Private, 111567, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+58, Private, 478354, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 50, United-States, >50K.
+30, Private, 209768, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K.
+27, Private, 188909, HS-grad, 9, Never-married, Handlers-cleaners, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+32, Self-emp-not-inc, 321313, HS-grad, 9, Never-married, Craft-repair, Own-child, Black, Male, 0, 0, 40, United-States, <=50K.
+19, ?, 264228, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 12, United-States, <=50K.
+22, Private, 345066, 10th, 6, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+56, Self-emp-not-inc, 32855, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+33, Self-emp-inc, 287372, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+36, Private, 214807, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+29, Local-gov, 275110, Some-college, 10, Married-civ-spouse, Protective-serv, Own-child, Black, Male, 0, 0, 40, United-States, <=50K.
+32, Private, 352089, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K.
+33, State-gov, 110171, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 1092, 40, United-States, <=50K.
+20, Private, 211391, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K.
+51, Private, 91506, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 7688, 0, 40, United-States, >50K.
+52, Private, 180949, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 30, United-States, <=50K.
+64, Self-emp-inc, 169072, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+33, Private, 264554, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K.
+38, Private, 99065, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 50, United-States, >50K.
+30, Private, 201122, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+67, Self-emp-inc, 323636, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 15, Canada, <=50K.
+37, Local-gov, 184112, Doctorate, 16, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, >50K.
+55, Private, 243367, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 37, United-States, <=50K.
+25, State-gov, 149248, Some-college, 10, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+41, Local-gov, 248748, Bachelors, 13, Never-married, Prof-specialty, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+31, Private, 242616, Bachelors, 13, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+51, Private, 207246, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 1902, 40, United-States, >50K.
+75, Self-emp-not-inc, 343631, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, Asian-Pac-Islander, Male, 0, 0, 15, United-States, <=50K.
+53, Private, 403121, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K.
+36, Self-emp-not-inc, 184435, 11th, 7, Never-married, Transport-moving, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+47, Self-emp-not-inc, 181405, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 40, United-States, >50K.
+67, Self-emp-not-inc, 75140, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 25, United-States, <=50K.
+29, Self-emp-not-inc, 467936, Some-college, 10, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, ?, <=50K.
+32, Self-emp-not-inc, 181212, Some-college, 10, Separated, Farming-fishing, Unmarried, White, Female, 0, 0, 65, United-States, <=50K.
+42, Private, 324421, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K.
+41, Private, 344624, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 50, United-States, >50K.
+46, Private, 98735, Bachelors, 13, Separated, Prof-specialty, Unmarried, White, Female, 0, 0, 50, United-States, <=50K.
+48, Local-gov, 186172, Assoc-acdm, 12, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K.
+55, Federal-gov, 107157, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+68, ?, 353871, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+49, Self-emp-not-inc, 175958, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K.
+62, Private, 252134, 7th-8th, 4, Divorced, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 40, Cuba, <=50K.
+30, Private, 95923, Assoc-acdm, 12, Married-spouse-absent, Adm-clerical, Unmarried, White, Female, 0, 0, 45, United-States, <=50K.
+56, Local-gov, 203250, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+37, Private, 296212, HS-grad, 9, Separated, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K.
+22, Private, 333838, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+56, Private, 345730, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+53, Federal-gov, 128141, Bachelors, 13, Separated, Adm-clerical, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+53, Private, 249347, Assoc-voc, 11, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Cuba, >50K.
+51, Private, 171914, 9th, 5, Widowed, Craft-repair, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K.
+41, Private, 344519, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 13550, 0, 60, United-States, >50K.
+34, Self-emp-inc, 196385, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+24, Private, 87546, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+40, Self-emp-not-inc, 85668, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+23, Private, 126613, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+28, Private, 239753, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+53, Private, 162796, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K.
+52, Federal-gov, 197189, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 44, United-States, >50K.
+33, State-gov, 25806, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 20, ?, <=50K.
+28, Private, 89813, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+45, State-gov, 142167, Masters, 14, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, ?, <=50K.
+40, Private, 171589, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K.
+60, Private, 203985, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, >50K.
+24, Private, 394191, 12th, 8, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 55, Germany, <=50K.
+50, Private, 155433, Bachelors, 13, Widowed, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+44, Private, 39581, Bachelors, 13, Separated, Tech-support, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+19, Private, 305834, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+36, Self-emp-inc, 200220, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K.
+33, Private, 229732, Assoc-acdm, 12, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+52, Private, 190333, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+51, Private, 155983, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+44, Private, 211351, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 4386, 0, 40, United-States, >50K.
+19, ?, 505168, 9th, 5, Never-married, ?, Other-relative, White, Female, 0, 0, 40, United-States, <=50K.
+49, Private, 256417, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 5013, 0, 40, Mexico, <=50K.
+17, ?, 165069, 10th, 6, Never-married, ?, Own-child, White, Male, 0, 1721, 40, United-States, <=50K.
+20, Private, 249385, Some-college, 10, Never-married, Craft-repair, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+53, Private, 168723, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K.
+25, Private, 165866, Assoc-voc, 11, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K.
+48, Private, 48553, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 72, United-States, <=50K.
+27, Private, 244751, HS-grad, 9, Never-married, Adm-clerical, Own-child, Other, Male, 0, 0, 40, United-States, <=50K.
+21, Private, 228230, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K.
+29, Private, 152951, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+47, State-gov, 29023, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, India, >50K.
+48, Self-emp-not-inc, 136455, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 60, United-States, <=50K.
+38, ?, 245372, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 75, United-States, >50K.
+19, ?, 155863, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 1602, 30, United-States, <=50K.
+37, Private, 126675, Some-college, 10, Widowed, Machine-op-inspct, Other-relative, White, Male, 0, 0, 40, ?, <=50K.
+37, Private, 184659, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 5013, 0, 44, United-States, <=50K.
+39, Federal-gov, 33289, HS-grad, 9, Widowed, Prof-specialty, Unmarried, White, Female, 0, 0, 60, United-States, <=50K.
+35, Private, 111377, HS-grad, 9, Separated, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+33, Private, 103651, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K.
+56, Private, 53481, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+23, Private, 238917, 5th-6th, 3, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, El-Salvador, <=50K.
+25, Private, 167495, Some-college, 10, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+47, Federal-gov, 114222, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 55, United-States, >50K.
+32, Private, 182323, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 40, United-States, >50K.
+24, Private, 137589, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 30, United-States, <=50K.
+32, Private, 181091, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 13550, 0, 35, United-States, >50K.
+41, Private, 156580, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, Dominican-Republic, <=50K.
+32, Private, 210926, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, >50K.
+37, Self-emp-not-inc, 255503, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 55, United-States, >50K.
+39, Private, 116546, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K.
+66, Self-emp-not-inc, 34218, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K.
+18, ?, 305327, Some-college, 10, Never-married, ?, Own-child, Other, Female, 0, 0, 25, United-States, <=50K.
+23, Private, 107882, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+44, Private, 858091, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+45, Private, 79646, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 70, United-States, <=50K.
+42, Private, 103089, Some-college, 10, Separated, Prof-specialty, Unmarried, White, Female, 1506, 0, 40, United-States, <=50K.
+40, Self-emp-not-inc, 145441, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 30, United-States, <=50K.
+20, State-gov, 117210, Some-college, 10, Never-married, Tech-support, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+26, Private, 379246, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+25, Private, 130018, 11th, 7, Never-married, Machine-op-inspct, Other-relative, White, Male, 0, 0, 40, United-States, <=50K.
+40, Private, 121466, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+54, Private, 339518, Assoc-acdm, 12, Married-spouse-absent, Machine-op-inspct, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K.
+33, Private, 388672, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+56, Self-emp-not-inc, 190091, Assoc-voc, 11, Married-spouse-absent, Sales, Not-in-family, White, Male, 0, 0, 46, United-States, <=50K.
+27, Private, 197918, 11th, 7, Never-married, Craft-repair, Unmarried, Black, Male, 0, 0, 47, United-States, <=50K.
+31, Private, 361497, 7th-8th, 4, Never-married, Farming-fishing, Other-relative, White, Male, 0, 0, 60, Portugal, <=50K.
+61, ?, 451327, Bachelors, 13, Married-civ-spouse, ?, Husband, Other, Male, 0, 0, 24, United-States, >50K.
+22, Private, 340217, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K.
+32, Self-emp-not-inc, 63516, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 45, United-States, <=50K.
+29, Private, 269786, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+34, Local-gov, 63338, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+56, Private, 179127, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, Italy, <=50K.
+35, Private, 124090, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 99, United-States, <=50K.
+25, Private, 215188, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+22, Private, 482082, 11th, 7, Married-civ-spouse, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, Mexico, <=50K.
+19, Private, 234725, 12th, 8, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+35, Private, 289890, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+35, Private, 232036, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+48, Local-gov, 195416, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K.
+52, Private, 22154, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+39, Private, 103734, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 43, United-States, >50K.
+32, Local-gov, 32587, HS-grad, 9, Divorced, Other-service, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K.
+27, Private, 190303, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+34, Private, 270488, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+31, Private, 104509, Some-college, 10, Separated, Other-service, Unmarried, White, Female, 0, 0, 35, United-States, <=50K.
+47, Self-emp-not-inc, 132589, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 72, United-States, <=50K.
+37, Private, 112812, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+47, Private, 126441, Some-college, 10, Married-spouse-absent, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+47, Self-emp-inc, 123075, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K.
+45, Private, 207955, 5th-6th, 3, Married-spouse-absent, Other-service, Not-in-family, White, Male, 0, 0, 40, Ecuador, <=50K.
+51, Private, 43705, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+24, Private, 116968, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+59, Self-emp-not-inc, 182142, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+27, Private, 74056, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, <=50K.
+33, Self-emp-not-inc, 132565, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+55, Private, 256796, HS-grad, 9, Separated, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, >50K.
+62, Self-emp-inc, 191520, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 80, United-States, >50K.
+37, Self-emp-not-inc, 33394, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 70, United-States, <=50K.
+45, Local-gov, 45501, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K.
+25, Private, 74389, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K.
+34, Private, 201874, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+50, Private, 143804, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 55, United-States, <=50K.
+29, Local-gov, 95471, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, <=50K.
+32, Private, 267458, Assoc-acdm, 12, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+48, Private, 70668, 10th, 6, Never-married, Priv-house-serv, Other-relative, White, Female, 0, 0, 40, United-States, <=50K.
+34, Local-gov, 260782, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 52, United-States, >50K.
+50, Private, 299215, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+38, Private, 99156, HS-grad, 9, Divorced, Sales, Unmarried, White, Male, 0, 0, 46, United-States, <=50K.
+52, Federal-gov, 53905, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+41, Private, 94210, HS-grad, 9, Divorced, Handlers-cleaners, Unmarried, White, Male, 0, 0, 48, United-States, <=50K.
+31, Private, 116508, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, <=50K.
+31, Private, 176711, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+50, Self-emp-not-inc, 118058, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 55, United-States, >50K.
+23, State-gov, 89285, Some-college, 10, Never-married, Protective-serv, Not-in-family, Other, Female, 99999, 0, 40, United-States, >50K.
+52, Private, 91093, Some-college, 10, Divorced, Sales, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K.
+33, Private, 204577, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+32, Private, 162041, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 30, United-States, <=50K.
+48, Private, 175615, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Wife, White, Female, 0, 0, 40, Japan, <=50K.
+40, Private, 99679, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 3103, 0, 43, United-States, >50K.
+22, Private, 263398, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+55, Private, 147653, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K.
+58, ?, 32521, 11th, 7, Married-spouse-absent, ?, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K.
+43, Self-emp-inc, 198871, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 88, United-States, <=50K.
+34, Private, 127651, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K.
+19, Private, 143608, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+50, Local-gov, 50048, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 52, United-States, >50K.
+73, ?, 378922, HS-grad, 9, Married-spouse-absent, ?, Not-in-family, White, Female, 0, 0, 20, Canada, <=50K.
+27, Private, 292883, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+62, Private, 190491, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 45, United-States, >50K.
+57, State-gov, 132145, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 45, United-States, >50K.
+34, Private, 126853, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Taiwan, >50K.
+22, Private, 59184, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K.
+22, Private, 663291, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 2105, 0, 40, United-States, <=50K.
+29, Local-gov, 76978, Some-college, 10, Never-married, Exec-managerial, Not-in-family, Black, Female, 0, 0, 50, United-States, <=50K.
+34, Self-emp-not-inc, 196512, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 2472, 35, United-States, >50K.
+17, ?, 103851, 11th, 7, Never-married, ?, Own-child, White, Female, 0, 0, 45, United-States, <=50K.
+35, Private, 241126, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+65, Private, 266828, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 24, United-States, >50K.
+27, Private, 204984, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 1579, 40, United-States, <=50K.
+46, Private, 188950, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K.
+35, Private, 226528, Doctorate, 16, Married-spouse-absent, Prof-specialty, Not-in-family, Other, Male, 0, 0, 60, England, >50K.
+38, Private, 268893, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 70, United-States, <=50K.
+36, Private, 165473, Bachelors, 13, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+49, Private, 447554, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 40, United-States, >50K.
+54, Self-emp-inc, 304955, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 30, United-States, <=50K.
+30, Private, 198265, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+26, Private, 395206, Some-college, 10, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+32, Private, 312667, Bachelors, 13, Married-spouse-absent, Exec-managerial, Not-in-family, White, Male, 2174, 0, 55, United-States, <=50K.
+23, Private, 117767, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 36, United-States, <=50K.
+40, Private, 170482, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Female, 14344, 0, 45, United-States, >50K.
+29, Private, 309778, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 40, United-States, >50K.
+28, Private, 289991, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+41, Federal-gov, 255543, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K.
+34, Private, 119079, 11th, 7, Married-civ-spouse, Machine-op-inspct, Own-child, Black, Male, 0, 0, 40, United-States, <=50K.
+37, Private, 318168, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, Black, Male, 1055, 0, 20, United-States, <=50K.
+39, Private, 67317, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+29, Private, 337953, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K.
+55, Private, 451603, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+30, Private, 455995, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+33, State-gov, 209768, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+55, Federal-gov, 27385, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+33, State-gov, 226296, HS-grad, 9, Never-married, Transport-moving, Other-relative, White, Male, 0, 0, 40, United-States, <=50K.
+47, Private, 285335, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K.
+28, Private, 376700, Bachelors, 13, Never-married, Sales, Own-child, Black, Male, 6849, 0, 50, United-States, <=50K.
+33, Private, 150324, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 49, United-States, <=50K.
+62, Private, 96460, HS-grad, 9, Separated, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+49, ?, 188141, Some-college, 10, Widowed, ?, Unmarried, White, Female, 0, 0, 60, United-States, <=50K.
+42, Private, 163985, HS-grad, 9, Separated, Transport-moving, Not-in-family, White, Male, 0, 0, 27, United-States, <=50K.
+63, Private, 85420, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 5013, 0, 15, United-States, <=50K.
+21, Private, 416103, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+65, Self-emp-inc, 224357, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+28, Federal-gov, 116062, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K.
+51, Self-emp-not-inc, 194259, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 15024, 0, 55, ?, >50K.
+33, Private, 460408, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, Mexico, <=50K.
+67, Self-emp-not-inc, 178878, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 12, United-States, <=50K.
+36, Private, 416745, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+19, Private, 292136, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K.
+60, Private, 176731, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+26, Private, 104097, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+35, Private, 203482, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+28, Private, 360224, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+67, Private, 23580, Assoc-acdm, 12, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+31, Self-emp-not-inc, 195891, HS-grad, 9, Married-civ-spouse, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+49, Private, 182862, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 40, United-States, >50K.
+64, Private, 148956, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 30, United-States, <=50K.
+24, ?, 95862, HS-grad, 9, Never-married, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+19, ?, 48393, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 32, United-States, <=50K.
+40, Private, 132633, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 1741, 40, United-States, <=50K.
+35, Local-gov, 182074, HS-grad, 9, Separated, Protective-serv, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K.
+19, State-gov, 136848, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 8, United-States, <=50K.
+53, Private, 197054, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+57, State-gov, 243033, Some-college, 10, Widowed, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+47, Self-emp-inc, 154174, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, >50K.
+47, Private, 59380, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 42, United-States, <=50K.
+38, Federal-gov, 122240, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 55, United-States, >50K.
+38, Private, 193945, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+35, Private, 350103, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+58, Private, 32365, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+56, Private, 94345, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K.
+24, ?, 166437, Bachelors, 13, Never-married, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+36, Private, 149653, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+57, Private, 157271, 11th, 7, Divorced, Other-service, Not-in-family, Black, Male, 0, 0, 54, United-States, <=50K.
+60, Private, 164599, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 40, United-States, >50K.
+81, Self-emp-inc, 104443, HS-grad, 9, Widowed, Sales, Not-in-family, White, Female, 0, 0, 40, ?, <=50K.
+46, Private, 411595, 5th-6th, 3, Widowed, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K.
+18, Private, 198368, 11th, 7, Never-married, Other-service, Own-child, White, Male, 594, 0, 10, United-States, <=50K.
+42, Self-emp-not-inc, 115932, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+26, Private, 158397, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+31, Private, 101345, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+26, Federal-gov, 48853, Masters, 14, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, Cuba, <=50K.
+39, Private, 38145, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+31, Private, 127651, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 38, United-States, >50K.
+28, Private, 185896, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 47, Mexico, <=50K.
+34, State-gov, 92531, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+53, Private, 195904, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+41, State-gov, 153095, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+34, Self-emp-not-inc, 581025, 9th, 5, Never-married, Other-service, Own-child, Black, Male, 0, 0, 38, United-States, <=50K.
+61, Local-gov, 202384, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 30, United-States, <=50K.
+46, Local-gov, 122177, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+34, Private, 405713, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+67, Private, 212185, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 10, United-States, <=50K.
+36, Private, 266347, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 43, United-States, <=50K.
+31, Private, 49469, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+35, Self-emp-not-inc, 210830, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+37, Local-gov, 188612, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+27, Private, 104017, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 1902, 30, United-States, >50K.
+23, Private, 154785, Some-college, 10, Never-married, Adm-clerical, Other-relative, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K.
+20, Private, 39477, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+72, Private, 99554, 7th-8th, 4, Married-civ-spouse, Handlers-cleaners, Wife, White, Female, 0, 0, 10, Poland, <=50K.
+61, Private, 255978, HS-grad, 9, Widowed, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+41, Local-gov, 98823, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+45, Federal-gov, 109598, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K.
+24, Private, 266971, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+22, ?, 334593, Some-college, 10, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+20, ?, 41035, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 60, United-States, <=50K.
+35, State-gov, 238591, Some-college, 10, Separated, Transport-moving, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+44, Local-gov, 117012, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1887, 40, United-States, >50K.
+30, Private, 192002, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+64, Private, 137135, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, <=50K.
+69, Private, 150600, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 35, United-States, <=50K.
+70, Private, 117464, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 16, United-States, <=50K.
+42, Self-emp-not-inc, 111971, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+22, Private, 290044, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 35, Canada, <=50K.
+17, Private, 197186, 10th, 6, Never-married, Sales, Own-child, White, Female, 0, 0, 24, United-States, <=50K.
+51, Self-emp-not-inc, 61127, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, >50K.
+30, Private, 236379, 11th, 7, Never-married, Transport-moving, Unmarried, White, Male, 0, 0, 30, United-States, <=50K.
+31, Private, 207100, Bachelors, 13, Never-married, Exec-managerial, Own-child, Black, Female, 0, 0, 40, United-States, <=50K.
+50, Self-emp-inc, 288630, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+30, Private, 203181, Assoc-voc, 11, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 36, United-States, <=50K.
+43, Private, 146770, HS-grad, 9, Married-spouse-absent, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+22, Private, 191789, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+32, Private, 453983, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 44, United-States, <=50K.
+32, Self-emp-not-inc, 106014, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+37, Private, 218955, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 35, United-States, <=50K.
+62, Private, 115771, Assoc-voc, 11, Widowed, Sales, Unmarried, White, Female, 0, 0, 33, United-States, <=50K.
+36, Private, 305379, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, >50K.
+29, Private, 53063, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+19, Private, 139466, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K.
+64, State-gov, 152537, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+32, Private, 400535, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+30, Private, 330802, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+24, Private, 117789, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+20, Private, 330836, 11th, 7, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+33, Private, 323985, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 5, United-States, >50K.
+50, Local-gov, 282701, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 4386, 0, 48, United-States, >50K.
+45, Private, 180695, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 1408, 40, United-States, <=50K.
+38, Private, 314007, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 5178, 0, 40, United-States, >50K.
+51, Without-pay, 124963, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+47, Private, 380922, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K.
+53, Local-gov, 222381, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+33, Self-emp-not-inc, 656488, Assoc-voc, 11, Divorced, Tech-support, Unmarried, Black, Male, 0, 0, 50, United-States, <=50K.
+38, Private, 98776, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K.
+47, Private, 143050, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K.
+17, Private, 118792, 11th, 7, Never-married, Sales, Other-relative, White, Female, 0, 0, 24, United-States, <=50K.
+21, Private, 154964, HS-grad, 9, Divorced, Machine-op-inspct, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K.
+41, Private, 163847, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 45, United-States, >50K.
+28, Private, 282398, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K.
+47, Private, 78954, 11th, 7, Divorced, Sales, Unmarried, White, Female, 0, 0, 28, United-States, <=50K.
+38, Self-emp-not-inc, 203988, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 55, United-States, >50K.
+54, Private, 111130, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 50, United-States, >50K.
+45, Private, 149388, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, >50K.
+45, Private, 39464, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+29, Local-gov, 94064, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+44, State-gov, 342510, Doctorate, 16, Married-civ-spouse, Prof-specialty, Wife, White, Female, 7688, 0, 40, United-States, >50K.
+66, Self-emp-not-inc, 163726, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 10, United-States, <=50K.
+35, Private, 194496, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K.
+66, Self-emp-not-inc, 298045, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 30, United-States, <=50K.
+24, Private, 42100, Some-college, 10, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 20, United-States, <=50K.
+30, Private, 77143, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Black, Male, 0, 0, 25, United-States, <=50K.
+38, Private, 233197, Some-college, 10, Divorced, Adm-clerical, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+17, Private, 295120, 11th, 7, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 20, United-States, <=50K.
+20, Private, 85021, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+54, ?, 191659, 5th-6th, 3, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+45, Self-emp-not-inc, 244194, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 5178, 0, 40, United-States, >50K.
+32, Local-gov, 287229, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 30, Japan, <=50K.
+18, Private, 324046, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 0, 12, United-States, <=50K.
+33, State-gov, 65018, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 20, China, <=50K.
+37, Private, 421633, Assoc-voc, 11, Divorced, Handlers-cleaners, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+28, Private, 93235, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+60, Local-gov, 227232, HS-grad, 9, Widowed, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+30, ?, 121775, Assoc-voc, 11, Never-married, ?, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K.
+36, Private, 65382, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+19, Private, 179422, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K.
+53, Federal-gov, 276868, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+57, Private, 87317, 10th, 6, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 8, United-States, <=50K.
+32, Private, 108247, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 3103, 0, 40, United-States, >50K.
+32, Private, 197505, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+35, Self-emp-not-inc, 127493, 10th, 6, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 2, United-States, <=50K.
+51, Private, 75640, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+38, ?, 320811, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+46, Local-gov, 247053, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+31, Private, 119735, 9th, 5, Never-married, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, Mexico, <=50K.
+29, Private, 157950, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K.
+40, Private, 113732, HS-grad, 9, Divorced, Handlers-cleaners, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+52, Self-emp-inc, 224763, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, Cuba, <=50K.
+42, Self-emp-not-inc, 40024, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 66, United-States, <=50K.
+42, Self-emp-not-inc, 296594, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+43, Federal-gov, 53956, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 55, United-States, >50K.
+38, Self-emp-inc, 71009, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, Asian-Pac-Islander, Female, 7298, 0, 40, ?, >50K.
+34, Private, 191834, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+27, Private, 107236, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+47, Private, 231284, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, Other, Male, 0, 0, 40, Puerto-Rico, <=50K.
+31, State-gov, 203488, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+20, Private, 41721, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+48, Private, 205100, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 99999, 0, 80, United-States, >50K.
+57, Private, 75673, Some-college, 10, Widowed, Adm-clerical, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K.
+28, ?, 105598, 11th, 7, Never-married, ?, Not-in-family, White, Male, 0, 1762, 40, Outlying-US(Guam-USVI-etc), <=50K.
+63, Self-emp-not-inc, 177832, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 80, United-States, <=50K.
+24, Private, 478457, 11th, 7, Never-married, Prof-specialty, Not-in-family, Black, Female, 0, 0, 30, United-States, <=50K.
+28, Local-gov, 194759, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 1669, 90, United-States, <=50K.
+64, Self-emp-not-inc, 30310, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+29, Private, 130010, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+23, Private, 170302, HS-grad, 9, Widowed, Exec-managerial, Unmarried, White, Male, 0, 0, 38, United-States, <=50K.
+46, Private, 120080, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K.
+77, Private, 183781, HS-grad, 9, Widowed, Craft-repair, Unmarried, White, Female, 0, 0, 5, United-States, <=50K.
+31, Private, 422836, 5th-6th, 3, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, El-Salvador, <=50K.
+46, Private, 266860, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K.
+25, Private, 393456, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+20, State-gov, 318382, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+35, Private, 354520, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, >50K.
+47, Private, 123425, HS-grad, 9, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 41, United-States, <=50K.
+52, Private, 123989, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+31, Private, 175778, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+28, State-gov, 73928, Bachelors, 13, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, United-States, >50K.
+31, Private, 33731, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 40, United-States, >50K.
+41, Private, 557349, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+23, Private, 255252, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K.
+40, Private, 219164, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 5178, 0, 40, United-States, >50K.
+21, Local-gov, 129050, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 35, United-States, <=50K.
+61, Private, 111797, Assoc-voc, 11, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 0, 32, United-States, <=50K.
+34, Private, 192900, Some-college, 10, Never-married, Tech-support, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+44, Private, 56651, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+26, Private, 51961, Some-college, 10, Never-married, Protective-serv, Not-in-family, Black, Male, 0, 0, 55, Philippines, <=50K.
+37, Private, 141584, Assoc-acdm, 12, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 47, United-States, <=50K.
+18, Private, 421350, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K.
+52, Private, 24740, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1740, 55, United-States, <=50K.
+31, Local-gov, 498267, HS-grad, 9, Separated, Other-service, Own-child, Black, Male, 0, 0, 40, United-States, <=50K.
+21, Private, 117583, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+22, Private, 191455, Some-college, 10, Married-civ-spouse, Tech-support, Wife, Other, Female, 0, 0, 15, United-States, <=50K.
+22, Private, 135716, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+40, Private, 27766, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+41, Private, 323919, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+73, Local-gov, 114561, 5th-6th, 3, Widowed, Other-service, Other-relative, Asian-Pac-Islander, Female, 0, 0, 25, Philippines, <=50K.
+17, Private, 216137, 9th, 5, Never-married, Sales, Own-child, White, Female, 0, 0, 15, United-States, <=50K.
+49, Private, 165539, HS-grad, 9, Widowed, Exec-managerial, Not-in-family, Black, Female, 0, 0, 35, United-States, <=50K.
+42, Private, 32016, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 7298, 0, 40, United-States, >50K.
+35, Private, 89040, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K.
+45, Private, 264514, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K.
+50, Private, 24790, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+38, Private, 181139, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 42, United-States, <=50K.
+18, Private, 168514, 10th, 6, Never-married, Sales, Unmarried, White, Female, 0, 0, 25, United-States, <=50K.
+17, Private, 354493, 11th, 7, Never-married, Sales, Own-child, White, Male, 0, 0, 6, United-States, <=50K.
+33, Private, 206707, HS-grad, 9, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+43, Private, 230684, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K.
+43, Local-gov, 192381, Bachelors, 13, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+37, Private, 397752, HS-grad, 9, Married-spouse-absent, Farming-fishing, Other-relative, White, Male, 0, 0, 12, Mexico, <=50K.
+52, State-gov, 120173, 7th-8th, 4, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+22, Private, 228394, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K.
+83, Private, 186112, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+21, Private, 272237, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 35, United-States, <=50K.
+45, Federal-gov, 169711, Assoc-acdm, 12, Married-civ-spouse, Protective-serv, Husband, White, Male, 15024, 0, 72, United-States, >50K.
+40, Self-emp-not-inc, 172560, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+61, Private, 213700, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 32, United-States, >50K.
+23, Private, 181820, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+19, Private, 120361, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 40, United-States, <=50K.
+47, Local-gov, 169324, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, Black, Female, 4386, 0, 35, United-States, >50K.
+32, Private, 262092, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 50, United-States, >50K.
+24, Private, 143436, Bachelors, 13, Never-married, Prof-specialty, Own-child, Other, Female, 0, 0, 10, ?, <=50K.
+43, Private, 147099, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 30, United-States, >50K.
+55, Private, 138594, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 56, United-States, >50K.
+58, Self-emp-not-inc, 100606, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+25, Private, 350850, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, >50K.
+23, Private, 66432, Some-college, 10, Separated, Sales, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K.
+44, Local-gov, 229148, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+20, Private, 236601, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K.
+46, Private, 144844, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 42, United-States, <=50K.
+19, Private, 366088, 9th, 5, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+37, Private, 162164, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+22, Private, 442478, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K.
+25, Private, 181814, 11th, 7, Married-civ-spouse, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+49, Private, 175109, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 5178, 0, 40, United-States, >50K.
+34, Self-emp-inc, 152109, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+47, Private, 246891, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 45, United-States, >50K.
+30, Private, 164802, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, Other, Female, 8614, 0, 40, India, >50K.
+21, Private, 57711, HS-grad, 9, Never-married, Priv-house-serv, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+22, Local-gov, 117789, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K.
+67, Private, 120900, 7th-8th, 4, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 12, United-States, <=50K.
+28, Private, 114673, Masters, 14, Never-married, Prof-specialty, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K.
+45, Private, 78529, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+46, Private, 282165, HS-grad, 9, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+48, Private, 149337, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, >50K.
+56, Private, 250517, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+65, ?, 76131, HS-grad, 9, Never-married, ?, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K.
+40, Private, 352971, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K.
+20, ?, 243981, HS-grad, 9, Never-married, ?, Own-child, Black, Female, 0, 0, 40, United-States, <=50K.
+55, ?, 421228, Masters, 14, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 40, United-States, >50K.
+56, Private, 94156, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+35, Private, 306868, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K.
+43, Private, 187164, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+32, Private, 179415, 10th, 6, Married-civ-spouse, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, United-States, <=50K.
+64, Private, 45776, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 1762, 79, United-States, <=50K.
+62, Private, 256723, Some-college, 10, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+53, Private, 31909, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, >50K.
+68, Private, 90526, 12th, 8, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 35, United-States, <=50K.
+35, ?, 127306, Some-college, 10, Divorced, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+24, Private, 179423, Bachelors, 13, Never-married, Prof-specialty, Other-relative, White, Female, 0, 0, 40, United-States, <=50K.
+39, Private, 140169, 10th, 6, Separated, Other-service, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K.
+29, Private, 37359, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 7298, 0, 40, United-States, >50K.
+24, Private, 125813, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, Amer-Indian-Eskimo, Female, 0, 0, 45, United-States, <=50K.
+33, Private, 209415, 10th, 6, Divorced, Protective-serv, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K.
+41, Private, 206619, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+48, Private, 283737, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+47, Private, 162187, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K.
+30, Self-emp-inc, 191571, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, >50K.
+59, Private, 33725, 9th, 5, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+34, Private, 236543, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 1590, 40, United-States, <=50K.
+26, Federal-gov, 73047, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 32, United-States, <=50K.
+20, Private, 230574, 7th-8th, 4, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, Mexico, <=50K.
+32, Private, 178109, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 36, United-States, <=50K.
+58, Private, 282023, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+31, Local-gov, 101761, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+33, Private, 98168, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 30, United-States, >50K.
+22, Private, 287681, 11th, 7, Never-married, Farming-fishing, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K.
+39, ?, 265685, Some-college, 10, Divorced, ?, Not-in-family, White, Male, 0, 0, 65, Puerto-Rico, <=50K.
+38, State-gov, 91670, Some-college, 10, Divorced, Prof-specialty, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K.
+30, State-gov, 61989, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 5, United-States, <=50K.
+23, Private, 138513, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+27, Self-emp-not-inc, 95423, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+31, Federal-gov, 30917, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 72, United-States, <=50K.
+20, ?, 316304, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+58, Private, 102791, HS-grad, 9, Divorced, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+42, Private, 416506, Assoc-acdm, 12, Never-married, Tech-support, Not-in-family, White, Male, 14084, 0, 36, United-States, >50K.
+20, Self-emp-inc, 245611, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 20, United-States, <=50K.
+47, Federal-gov, 655066, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Other, Male, 0, 0, 40, Peru, >50K.
+57, Self-emp-not-inc, 87584, Doctorate, 16, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K.
+47, Self-emp-not-inc, 304223, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+49, Local-gov, 40690, Bachelors, 13, Never-married, Prof-specialty, Unmarried, White, Male, 0, 0, 60, United-States, >50K.
+18, Private, 348131, 11th, 7, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 20, United-States, <=50K.
+64, Private, 191477, 5th-6th, 3, Widowed, Priv-house-serv, Unmarried, Black, Female, 0, 0, 4, United-States, <=50K.
+29, Private, 115438, HS-grad, 9, Separated, Craft-repair, Unmarried, White, Male, 0, 0, 35, United-States, <=50K.
+47, Federal-gov, 176917, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 48, United-States, >50K.
+40, ?, 104196, HS-grad, 9, Separated, ?, Own-child, White, Male, 0, 0, 45, United-States, <=50K.
+28, Private, 202182, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K.
+24, Private, 308239, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 4, United-States, <=50K.
+34, Private, 163581, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 10520, 0, 40, Puerto-Rico, >50K.
+34, Local-gov, 211239, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 6497, 0, 40, United-States, <=50K.
+31, Private, 121321, 11th, 7, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 51, United-States, <=50K.
+23, State-gov, 120172, HS-grad, 9, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K.
+20, Private, 190916, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 1721, 20, United-States, <=50K.
+25, Private, 340288, 9th, 5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+32, Private, 426431, Some-college, 10, Divorced, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+44, Self-emp-inc, 226027, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+28, Private, 278736, 12th, 8, Never-married, Handlers-cleaners, Unmarried, White, Male, 0, 0, 40, Mexico, <=50K.
+48, Private, 168462, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+18, ?, 379070, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+43, Private, 214541, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, Canada, <=50K.
+52, Self-emp-inc, 29887, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K.
+53, Self-emp-not-inc, 138022, 11th, 7, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K.
+57, Self-emp-inc, 208018, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+45, Private, 126876, HS-grad, 9, Divorced, Craft-repair, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+45, Private, 182703, Masters, 14, Divorced, Adm-clerical, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 36, United-States, <=50K.
+34, Private, 161153, 10th, 6, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 35, United-States, <=50K.
+44, Self-emp-not-inc, 168443, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+25, Private, 335522, 9th, 5, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K.
+27, Private, 220104, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 1876, 50, United-States, <=50K.
+28, ?, 162312, Some-college, 10, Never-married, ?, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, South, <=50K.
+36, Private, 104772, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+61, Private, 161472, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+52, Private, 91506, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+19, Private, 186717, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+53, Private, 77927, 5th-6th, 3, Never-married, Handlers-cleaners, Other-relative, Asian-Pac-Islander, Female, 0, 0, 50, Philippines, <=50K.
+55, Private, 140063, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+37, Self-emp-inc, 317580, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+51, Private, 122533, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+29, Private, 57423, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+45, Private, 103331, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+64, State-gov, 417543, Doctorate, 16, Widowed, Prof-specialty, Not-in-family, Black, Male, 8614, 0, 50, United-States, >50K.
+56, Private, 253854, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+56, Private, 106850, Some-college, 10, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+38, Self-emp-inc, 314007, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 78, United-States, <=50K.
+23, Private, 494371, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+29, Local-gov, 270421, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+33, Private, 203488, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1672, 40, United-States, <=50K.
+35, Private, 167691, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+25, Private, 198318, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+37, Private, 319831, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 55, United-States, >50K.
+28, Private, 70240, Masters, 14, Never-married, Sales, Own-child, Asian-Pac-Islander, Female, 0, 0, 36, Philippines, <=50K.
+67, Private, 227113, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2457, 40, United-States, <=50K.
+22, Private, 168997, Assoc-voc, 11, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+23, State-gov, 231929, 12th, 8, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K.
+22, Private, 207969, Some-college, 10, Never-married, Exec-managerial, Own-child, Black, Male, 0, 0, 35, United-States, <=50K.
+68, Private, 192656, Some-college, 10, Widowed, Craft-repair, Not-in-family, White, Male, 0, 0, 10, United-States, <=50K.
+31, Private, 187215, HS-grad, 9, Never-married, Priv-house-serv, Not-in-family, White, Female, 0, 0, 40, El-Salvador, <=50K.
+51, Self-emp-inc, 119570, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+64, Private, 188659, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 20, United-States, >50K.
+35, Private, 110013, Bachelors, 13, Divorced, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+26, Private, 55860, Masters, 14, Never-married, Prof-specialty, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K.
+42, Self-emp-inc, 282069, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+20, Federal-gov, 26585, HS-grad, 9, Never-married, Other-service, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 25, United-States, <=50K.
+46, Self-emp-inc, 218890, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K.
+35, Private, 211154, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+51, Private, 230095, 10th, 6, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+34, Private, 737315, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 65, United-States, >50K.
+50, Private, 144084, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+48, Self-emp-not-inc, 48384, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K.
+51, Private, 541755, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+27, Private, 178778, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 1340, 40, United-States, <=50K.
+28, Private, 436198, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 30, United-States, <=50K.
+37, Private, 82521, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 4064, 0, 46, United-States, <=50K.
+39, Private, 367020, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+22, Private, 174461, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+28, Private, 162501, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+38, Private, 193026, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+41, Private, 218172, Bachelors, 13, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female, 13550, 0, 60, United-States, >50K.
+41, Private, 110318, Masters, 14, Divorced, Other-service, Unmarried, White, Female, 0, 0, 30, United-States, <=50K.
+36, Private, 126675, 11th, 7, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1579, 40, United-States, <=50K.
+24, Private, 116788, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+24, Private, 161092, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+28, Private, 159109, 11th, 7, Separated, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+28, Private, 213191, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+49, Private, 240629, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K.
+17, Private, 227960, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 10, Puerto-Rico, <=50K.
+54, Private, 151580, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, France, >50K.
+41, Private, 160893, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K.
+35, Local-gov, 184117, Masters, 14, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 25, United-States, <=50K.
+18, Private, 32059, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 23, United-States, <=50K.
+42, Private, 361219, 11th, 7, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+60, Private, 334984, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 2231, 40, United-States, >50K.
+49, Self-emp-not-inc, 33300, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 84, United-States, <=50K.
+57, Private, 199713, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 55, United-States, <=50K.
+43, Private, 401134, Assoc-acdm, 12, Divorced, Other-service, Unmarried, White, Female, 0, 2238, 40, United-States, <=50K.
+37, Private, 132702, Bachelors, 13, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+28, ?, 306693, Some-college, 10, Married-civ-spouse, ?, Other-relative, White, Female, 0, 0, 20, United-States, <=50K.
+20, Private, 286166, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K.
+57, Private, 123515, Assoc-voc, 11, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+24, Private, 132053, Assoc-acdm, 12, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 35, United-States, <=50K.
+20, Self-emp-inc, 266400, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+42, Local-gov, 335248, Assoc-voc, 11, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K.
+81, Private, 36147, Prof-school, 15, Married-civ-spouse, Farming-fishing, Husband, White, Male, 10605, 0, 2, United-States, >50K.
+21, Private, 266467, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 2205, 40, United-States, <=50K.
+43, Private, 143809, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+39, Private, 334366, Bachelors, 13, Separated, Prof-specialty, Unmarried, White, Female, 0, 0, 50, United-States, >50K.
+41, Private, 347653, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, ?, >50K.
+32, Private, 386806, 5th-6th, 3, Married-civ-spouse, Craft-repair, Husband, Other, Male, 0, 0, 45, Mexico, >50K.
+48, Private, 202322, 1st-4th, 2, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, El-Salvador, <=50K.
+50, Private, 594521, 9th, 5, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+26, Private, 174267, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 64, United-States, <=50K.
+18, ?, 169542, 12th, 8, Never-married, ?, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K.
+54, Private, 227392, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+59, Federal-gov, 99131, HS-grad, 9, Never-married, Exec-managerial, Other-relative, White, Female, 0, 0, 40, United-States, <=50K.
+38, Self-emp-inc, 225860, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+53, Private, 287317, HS-grad, 9, Divorced, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+42, Private, 46091, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+53, Private, 170050, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+18, State-gov, 352317, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+56, Private, 225267, Some-college, 10, Divorced, Sales, Not-in-family, White, Male, 14084, 0, 60, United-States, >50K.
+28, Private, 217545, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, ?, <=50K.
+33, Private, 183778, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+43, Private, 210013, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+36, Private, 49115, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 44, United-States, >50K.
+31, Private, 310429, HS-grad, 9, Separated, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K.
+33, Private, 114691, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+46, Private, 124356, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K.
+31, Private, 51284, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 36, United-States, <=50K.
+47, ?, 294443, Assoc-voc, 11, Divorced, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+41, Private, 200009, 10th, 6, Divorced, Handlers-cleaners, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+28, Private, 258862, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 18, United-States, <=50K.
+35, Private, 37778, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+28, Private, 402771, HS-grad, 9, Married-spouse-absent, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+42, Federal-gov, 201520, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 43, United-States, >50K.
+47, Local-gov, 55237, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 44, United-States, <=50K.
+63, ?, 52750, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+63, Local-gov, 197189, Bachelors, 13, Widowed, Prof-specialty, Not-in-family, White, Female, 4650, 0, 48, United-States, <=50K.
+39, Private, 96564, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+23, Private, 334105, Assoc-acdm, 12, Never-married, Tech-support, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+41, Private, 115323, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K.
+31, Private, 157289, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 52, United-States, <=50K.
+52, Private, 320877, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, >50K.
+64, Self-emp-not-inc, 198186, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 30, ?, <=50K.
+62, Private, 195543, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 20, United-States, >50K.
+48, Private, 103406, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 35, United-States, >50K.
+22, ?, 320451, Some-college, 10, Never-married, ?, Own-child, Asian-Pac-Islander, Male, 0, 0, 24, ?, <=50K.
+18, Private, 23940, Some-college, 10, Never-married, Other-service, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K.
+46, Private, 45857, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 33, United-States, <=50K.
+29, Private, 195557, Assoc-acdm, 12, Divorced, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+44, Private, 229148, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 35, United-States, <=50K.
+21, ?, 152328, Bachelors, 13, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+47, Private, 186157, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+60, Private, 127712, Assoc-voc, 11, Widowed, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 45, Poland, <=50K.
+24, Private, 254351, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 35, United-States, <=50K.
+61, Private, 182163, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 40, United-States, >50K.
+34, Private, 442656, 11th, 7, Never-married, Sales, Unmarried, White, Female, 0, 0, 65, Guatemala, <=50K.
+30, Private, 111363, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+36, Local-gov, 491000, Assoc-acdm, 12, Never-married, Prof-specialty, Own-child, Black, Male, 0, 0, 40, United-States, <=50K.
+45, State-gov, 156065, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+45, Private, 243743, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K.
+47, Self-emp-not-inc, 173938, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 2258, 20, United-States, <=50K.
+37, Private, 86308, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, >50K.
+35, Private, 216068, Assoc-acdm, 12, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+23, Private, 237432, 12th, 8, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K.
+34, Private, 177216, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+27, Private, 212895, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+44, Self-emp-not-inc, 122749, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, Germany, <=50K.
+44, Private, 254303, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, Hungary, >50K.
+20, Private, 73679, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Female, 0, 0, 35, United-States, <=50K.
+30, Private, 455995, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+33, Private, 214288, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 1848, 48, United-States, >50K.
+28, Private, 228075, 5th-6th, 3, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Hong, <=50K.
+35, Private, 412017, 10th, 6, Divorced, Sales, Unmarried, White, Female, 0, 0, 38, United-States, <=50K.
+41, Private, 236900, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+33, Private, 289442, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+33, Local-gov, 237298, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+36, State-gov, 47072, HS-grad, 9, Widowed, Other-service, Unmarried, White, Female, 0, 0, 8, United-States, <=50K.
+25, Private, 197036, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+19, State-gov, 175507, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 18, United-States, <=50K.
+53, Private, 350131, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 48, United-States, >50K.
+35, Private, 150057, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 4386, 0, 48, United-States, <=50K.
+40, Self-emp-inc, 190650, Bachelors, 13, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 45, South, >50K.
+27, Private, 430672, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K.
+50, Private, 99316, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+47, ?, 191776, Some-college, 10, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 8, United-States, <=50K.
+33, Private, 97723, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1887, 50, United-States, >50K.
+28, ?, 197288, 11th, 7, Never-married, ?, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K.
+36, Private, 239409, HS-grad, 9, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+48, Private, 195554, 7th-8th, 4, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+48, Self-emp-not-inc, 76855, Some-college, 10, Divorced, Transport-moving, Unmarried, White, Female, 0, 0, 53, United-States, <=50K.
+43, Private, 281315, Some-college, 10, Divorced, Sales, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K.
+76, Local-gov, 224058, 10th, 6, Divorced, Transport-moving, Not-in-family, Black, Male, 0, 0, 20, United-States, <=50K.
+23, Private, 232799, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Female, 2977, 0, 55, United-States, <=50K.
+29, Private, 174163, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+57, Private, 47178, 5th-6th, 3, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+62, Self-emp-not-inc, 97950, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 6, United-States, <=50K.
+26, Private, 342765, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 50, United-States, <=50K.
+42, Local-gov, 209818, Bachelors, 13, Divorced, Prof-specialty, Other-relative, White, Female, 0, 0, 55, United-States, <=50K.
+36, Private, 349534, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 31, United-States, >50K.
+43, Self-emp-inc, 170214, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 75, United-States, <=50K.
+28, Private, 145284, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+33, Private, 124161, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+48, Private, 105357, HS-grad, 9, Never-married, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+32, Private, 355700, Prof-school, 15, Married-AF-spouse, Prof-specialty, Wife, White, Female, 99999, 0, 60, United-States, >50K.
+30, Private, 99928, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+18, Private, 308739, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+58, Self-emp-inc, 179781, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 70, United-States, >50K.
+52, Federal-gov, 297906, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, ?, >50K.
+25, Private, 189663, Masters, 14, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+39, Self-emp-not-inc, 339029, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+39, Self-emp-not-inc, 87076, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 45, United-States, >50K.
+18, Private, 109928, HS-grad, 9, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K.
+55, Private, 218456, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+26, Local-gov, 176756, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 75, United-States, >50K.
+69, ?, 214923, Prof-school, 15, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 35, United-States, >50K.
+21, Private, 191789, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 10, ?, <=50K.
+19, Private, 238383, 10th, 6, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+21, Private, 315476, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 25, United-States, <=50K.
+36, Private, 195148, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+49, ?, 174274, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 80, United-States, <=50K.
+42, Private, 143208, 7th-8th, 4, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, ?, <=50K.
+40, Private, 30201, Assoc-voc, 11, Divorced, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K.
+35, Self-emp-inc, 200352, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 45, United-States, >50K.
+31, Private, 117028, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, Poland, <=50K.
+45, Private, 44489, HS-grad, 9, Widowed, Farming-fishing, Unmarried, White, Male, 0, 0, 65, United-States, <=50K.
+52, Private, 236222, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+23, Private, 496856, Assoc-acdm, 12, Never-married, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K.
+29, Private, 132675, 11th, 7, Separated, Other-service, Own-child, Black, Female, 0, 0, 40, United-States, <=50K.
+42, Private, 89226, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, >50K.
+36, ?, 112660, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+61, Federal-gov, 294466, Some-college, 10, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K.
+58, Private, 201011, 7th-8th, 4, Separated, Other-service, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K.
+47, Private, 27624, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 65, United-States, >50K.
+31, Private, 385959, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+53, Private, 214691, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 80, United-States, <=50K.
+34, Private, 196253, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+62, Local-gov, 242341, Some-college, 10, Divorced, Prof-specialty, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K.
+23, Private, 195016, Some-college, 10, Never-married, Prof-specialty, Not-in-family, Other, Female, 0, 0, 35, United-States, <=50K.
+47, Private, 174794, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, England, >50K.
+59, Self-emp-not-inc, 134470, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 2635, 0, 60, United-States, <=50K.
+17, Private, 166360, 10th, 6, Never-married, Craft-repair, Own-child, White, Female, 0, 0, 30, United-States, <=50K.
+40, Local-gov, 26671, Bachelors, 13, Divorced, Prof-specialty, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K.
+38, Self-emp-not-inc, 589838, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 47, United-States, <=50K.
+45, Private, 149169, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+46, Private, 287920, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 5013, 0, 40, United-States, <=50K.
+57, Private, 56080, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+22, State-gov, 211798, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 10, United-States, <=50K.
+30, Private, 415266, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K.
+42, Private, 147110, Bachelors, 13, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+32, Private, 228873, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 7298, 0, 60, United-States, >50K.
+40, Private, 305348, 9th, 5, Never-married, Craft-repair, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K.
+50, Federal-gov, 189831, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 7298, 0, 50, United-States, >50K.
+45, Private, 247379, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+38, Federal-gov, 198841, Some-college, 10, Separated, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+29, Private, 364986, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1628, 47, United-States, <=50K.
+31, Private, 203488, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 44, United-States, >50K.
+31, Private, 141118, HS-grad, 9, Separated, Other-service, Unmarried, White, Female, 0, 0, 24, United-States, <=50K.
+49, Self-emp-not-inc, 155862, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, >50K.
+46, Private, 324550, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+55, Private, 174353, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 35, United-States, <=50K.
+82, Self-emp-not-inc, 181912, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 12, United-States, <=50K.
+45, Private, 168191, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 15024, 0, 37, United-States, >50K.
+35, ?, 216068, Assoc-acdm, 12, Married-civ-spouse, ?, Wife, White, Female, 5178, 0, 12, United-States, >50K.
+41, Private, 125461, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K.
+21, Private, 162688, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+19, Private, 234406, 12th, 8, Never-married, Sales, Own-child, White, Female, 0, 0, 30, United-States, <=50K.
+41, State-gov, 114537, HS-grad, 9, Separated, Handlers-cleaners, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+40, Private, 68111, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+44, Private, 322799, HS-grad, 9, Separated, Machine-op-inspct, Own-child, Black, Male, 0, 0, 40, United-States, <=50K.
+21, Private, 479296, HS-grad, 9, Never-married, Other-service, Other-relative, White, Male, 0, 0, 40, United-States, <=50K.
+39, Private, 323385, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 70, United-States, <=50K.
+63, Private, 162772, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 35, United-States, >50K.
+53, Private, 27166, HS-grad, 9, Married-spouse-absent, Transport-moving, Not-in-family, White, Male, 10520, 0, 40, United-States, >50K.
+55, ?, 142642, HS-grad, 9, Married-spouse-absent, ?, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+19, Private, 162954, Some-college, 10, Married-AF-spouse, Handlers-cleaners, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+45, Federal-gov, 90533, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K.
+52, Private, 234286, Some-college, 10, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 84, United-States, <=50K.
+17, Private, 355559, 12th, 8, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 18, United-States, <=50K.
+35, Private, 32528, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+45, Private, 132847, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K.
+46, Private, 279724, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+50, Private, 30827, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K.
+25, Private, 179772, HS-grad, 9, Never-married, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+39, Private, 112264, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+51, Private, 93690, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+52, Local-gov, 178983, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+55, ?, 194740, 10th, 6, Widowed, ?, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K.
+48, Local-gov, 283037, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+27, Private, 312485, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 32, United-States, <=50K.
+30, Private, 202450, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+29, Local-gov, 272569, 10th, 6, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+53, Private, 231865, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+26, Private, 195693, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, Jamaica, <=50K.
+27, Private, 108574, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+58, Self-emp-not-inc, 605504, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K.
+19, Self-emp-not-inc, 140985, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, England, <=50K.
+22, State-gov, 160369, Some-college, 10, Never-married, Other-service, Own-child, Black, Male, 0, 0, 20, United-States, <=50K.
+29, Private, 303440, Assoc-voc, 11, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+44, Private, 263871, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+55, Private, 28338, Assoc-voc, 11, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+36, Self-emp-inc, 298624, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 30, United-States, >50K.
+41, Private, 139126, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 40, United-States, >50K.
+57, Private, 197994, HS-grad, 9, Never-married, Other-service, Other-relative, Black, Female, 0, 0, 32, United-States, <=50K.
+34, Local-gov, 241259, HS-grad, 9, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+80, Self-emp-not-inc, 248568, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 30, United-States, <=50K.
+59, Self-emp-not-inc, 304779, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 35, United-States, <=50K.
+58, Private, 143266, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+51, Private, 169719, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 38, United-States, <=50K.
+34, Private, 257128, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+45, Private, 78507, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+28, Private, 490332, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 3103, 0, 40, United-States, >50K.
+32, Private, 244200, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, Puerto-Rico, <=50K.
+44, Self-emp-not-inc, 95298, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 70, United-States, >50K.
+23, Private, 329174, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+33, Private, 107142, 12th, 8, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+39, State-gov, 33975, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+26, Private, 201579, Some-college, 10, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, Mexico, <=50K.
+39, Self-emp-not-inc, 122852, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, >50K.
+35, Private, 272742, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 27828, 0, 60, United-States, >50K.
+53, Private, 161691, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Female, 4865, 0, 40, United-States, <=50K.
+41, Local-gov, 223410, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 40, United-States, >50K.
+90, Private, 250832, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 2414, 0, 40, United-States, <=50K.
+44, Local-gov, 282069, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+19, Private, 369164, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+81, Self-emp-not-inc, 218521, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 21, United-States, <=50K.
+19, Private, 136405, Assoc-voc, 11, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+40, Private, 199018, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K.
+28, Local-gov, 299249, HS-grad, 9, Divorced, Protective-serv, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+50, Private, 235567, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 52, United-States, <=50K.
+51, Self-emp-not-inc, 73493, Some-college, 10, Separated, Exec-managerial, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K.
+54, Private, 320012, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+37, Self-emp-inc, 183898, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+31, State-gov, 190027, Some-college, 10, Never-married, Other-service, Own-child, Black, Female, 0, 0, 40, United-States, <=50K.
+31, Private, 87891, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+38, Private, 304001, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+40, Private, 171424, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+19, Private, 123807, HS-grad, 9, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K.
+22, ?, 210802, Some-college, 10, Never-married, ?, Own-child, Black, Female, 0, 0, 24, United-States, <=50K.
+25, Private, 80220, 12th, 8, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+19, Private, 216413, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+23, Private, 423453, HS-grad, 9, Never-married, Sales, Own-child, Black, Female, 0, 0, 16, United-States, <=50K.
+30, Private, 178835, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K.
+35, Private, 304001, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+35, Private, 167482, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+32, Private, 26543, Some-college, 10, Separated, Prof-specialty, Not-in-family, White, Male, 0, 2231, 40, United-States, >50K.
+52, Private, 176409, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+46, State-gov, 87018, Bachelors, 13, Never-married, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+24, Private, 251603, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+44, Local-gov, 366180, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+42, Private, 186916, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2415, 55, United-States, >50K.
+30, Self-emp-not-inc, 164461, 11th, 7, Divorced, Sales, Unmarried, White, Male, 0, 653, 40, United-States, <=50K.
+42, Private, 54102, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+48, Self-emp-not-inc, 199058, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 35, United-States, >50K.
+22, Private, 293324, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+47, Private, 96798, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+65, Self-emp-not-inc, 132340, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 3, United-States, <=50K.
+45, Private, 175925, Bachelors, 13, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+17, Self-emp-not-inc, 33230, 11th, 7, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 15, United-States, <=50K.
+20, Local-gov, 298871, HS-grad, 9, Never-married, Other-service, Own-child, Asian-Pac-Islander, Male, 0, 0, 10, United-States, <=50K.
+26, Private, 142760, Assoc-voc, 11, Never-married, Sales, Not-in-family, Black, Male, 0, 0, 50, United-States, <=50K.
+30, Private, 200700, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+48, Private, 117310, Bachelors, 13, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 60, ?, <=50K.
+44, Private, 238188, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+29, Private, 354496, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+18, Private, 416541, 9th, 5, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 16, United-States, <=50K.
+52, Private, 42902, 9th, 5, Separated, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+30, Private, 180317, Assoc-voc, 11, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+50, Private, 378581, 12th, 8, Never-married, Protective-serv, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K.
+45, Local-gov, 213620, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, >50K.
+58, Private, 186905, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 99999, 0, 40, United-States, >50K.
+47, Private, 182054, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+64, Local-gov, 189634, Some-college, 10, Widowed, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+25, Local-gov, 170070, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, >50K.
+42, Private, 445382, Assoc-acdm, 12, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+46, Self-emp-inc, 168211, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 75, United-States, >50K.
+22, Private, 341760, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+26, Private, 152452, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+49, Private, 558752, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 3674, 0, 40, United-States, <=50K.
+28, Private, 153813, Some-college, 10, Never-married, Exec-managerial, Unmarried, White, Female, 0, 0, 38, United-States, <=50K.
+54, Private, 81859, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K.
+47, Self-emp-not-inc, 51664, 11th, 7, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+46, Private, 334421, Bachelors, 13, Divorced, Sales, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, China, <=50K.
+35, Private, 239415, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 42, United-States, <=50K.
+57, Local-gov, 62701, Some-college, 10, Widowed, Exec-managerial, Not-in-family, White, Male, 6849, 0, 40, United-States, <=50K.
+37, Self-emp-inc, 347491, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+54, Local-gov, 108739, 11th, 7, Widowed, Protective-serv, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+34, Private, 340917, HS-grad, 9, Separated, Machine-op-inspct, Not-in-family, White, Male, 2174, 0, 45, United-States, <=50K.
+54, Federal-gov, 160636, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K.
+49, Private, 116927, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+24, Private, 179423, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+18, Private, 347829, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 4, United-States, <=50K.
+62, Self-emp-not-inc, 56317, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, ?, >50K.
+37, Self-emp-inc, 347189, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K.
+42, Private, 201520, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+43, Private, 43533, 5th-6th, 3, Separated, Other-service, Other-relative, White, Female, 0, 0, 40, El-Salvador, <=50K.
+20, Private, 313786, HS-grad, 9, Never-married, Exec-managerial, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+36, Private, 367216, Some-college, 10, Married-spouse-absent, Other-service, Own-child, White, Female, 0, 0, 28, United-States, <=50K.
+23, Private, 408988, Some-college, 10, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 38, United-States, <=50K.
+48, Private, 175662, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 24, United-States, <=50K.
+77, Self-emp-not-inc, 161552, Preschool, 1, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K.
+26, Private, 311743, HS-grad, 9, Separated, Other-service, Unmarried, White, Female, 0, 0, 39, United-States, <=50K.
+25, Private, 323229, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+38, Private, 163204, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1740, 40, United-States, <=50K.
+25, Private, 201481, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+27, Private, 154210, Assoc-acdm, 12, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male, 0, 0, 40, ?, <=50K.
+36, Local-gov, 247547, HS-grad, 9, Separated, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+51, Self-emp-inc, 254230, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 58, United-States, >50K.
+33, Private, 156464, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, >50K.
+31, Private, 108322, Some-college, 10, Married-AF-spouse, Craft-repair, Husband, White, Male, 0, 0, 28, United-States, <=50K.
+33, Private, 213179, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K.
+24, Private, 160122, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K.
+64, ?, 80392, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 4, United-States, <=50K.
+36, Local-gov, 254202, Prof-school, 15, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 24, Germany, <=50K.
+26, State-gov, 232914, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+31, Local-gov, 206609, Bachelors, 13, Never-married, Protective-serv, Not-in-family, White, Male, 0, 1876, 40, United-States, <=50K.
+33, Private, 44623, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+22, ?, 199005, Assoc-acdm, 12, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+37, Private, 403344, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+37, Private, 118577, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 25, United-States, >50K.
+37, Private, 122889, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 7298, 0, 40, Taiwan, >50K.
+23, Private, 196508, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 24, United-States, <=50K.
+26, Private, 40915, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+37, Private, 143774, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 50, United-States, <=50K.
+22, Private, 173004, HS-grad, 9, Never-married, Machine-op-inspct, Other-relative, Black, Male, 0, 0, 1, United-States, <=50K.
+49, Private, 353824, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1887, 40, United-States, >50K.
+53, Private, 171058, Some-college, 10, Divorced, Handlers-cleaners, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+40, Private, 335400, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, Dominican-Republic, <=50K.
+30, Local-gov, 263650, Bachelors, 13, Never-married, Sales, Unmarried, Black, Female, 0, 0, 17, United-States, <=50K.
+59, Private, 187025, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+49, Private, 149218, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 50, United-States, <=50K.
+26, Private, 190916, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+50, Private, 240989, 1st-4th, 2, Married-civ-spouse, Farming-fishing, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K.
+47, Private, 216093, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 15024, 0, 40, United-States, >50K.
+42, Private, 111483, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K.
+24, Private, 214810, Assoc-voc, 11, Never-married, Sales, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K.
+46, Private, 165402, HS-grad, 9, Married-civ-spouse, Craft-repair, Wife, White, Female, 5178, 0, 40, United-States, >50K.
+50, Federal-gov, 36489, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K.
+18, Private, 173923, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 10, United-States, <=50K.
+20, Private, 273147, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, Black, Male, 0, 0, 40, United-States, <=50K.
+18, Private, 113814, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+41, Private, 118768, Assoc-acdm, 12, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K.
+62, Federal-gov, 34916, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+36, Private, 73023, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 70, United-States, <=50K.
+46, State-gov, 179869, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+48, Federal-gov, 259131, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Male, 5455, 0, 40, United-States, <=50K.
+52, Private, 257756, Assoc-voc, 11, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, Germany, <=50K.
+53, Private, 448862, HS-grad, 9, Never-married, Transport-moving, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K.
+31, Private, 150553, Assoc-acdm, 12, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K.
+30, Private, 205152, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 35, United-States, >50K.
+26, Private, 220499, HS-grad, 9, Never-married, Handlers-cleaners, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+19, Private, 134252, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 35, United-States, <=50K.
+20, Private, 175808, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+35, Private, 185621, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+24, Private, 278391, Assoc-acdm, 12, Never-married, Sales, Own-child, White, Male, 0, 0, 30, United-States, <=50K.
+22, Self-emp-not-inc, 174907, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 15, United-States, <=50K.
+40, Private, 175642, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 60, United-States, >50K.
+24, Self-emp-not-inc, 216889, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+34, Private, 183557, HS-grad, 9, Separated, Adm-clerical, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K.
+24, Private, 196674, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+20, Private, 169188, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K.
+46, Private, 203785, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K.
+49, Private, 196707, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K.
+37, Private, 190297, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 45, United-States, >50K.
+18, Private, 255595, 11th, 7, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 5, United-States, <=50K.
+38, Self-emp-not-inc, 374983, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K.
+21, Private, 176178, Bachelors, 13, Married-civ-spouse, Sales, Other-relative, White, Female, 0, 0, 35, United-States, <=50K.
+35, Private, 181165, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+43, Local-gov, 212490, Assoc-voc, 11, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K.
+61, Private, 215766, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+46, Private, 261688, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+39, Private, 123417, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K.
+29, Private, 108431, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 2415, 40, United-States, >50K.
+58, Private, 32954, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+47, Private, 224752, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+35, Private, 122353, 11th, 7, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, United-States, <=50K.
+37, Private, 176159, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+28, Private, 189407, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K.
+26, Private, 181772, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+36, Self-emp-not-inc, 109133, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+49, Self-emp-not-inc, 165229, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+23, State-gov, 315449, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Male, 0, 0, 20, United-States, <=50K.
+40, Private, 37848, HS-grad, 9, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+37, Federal-gov, 54595, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+20, ?, 127914, Some-college, 10, Never-married, ?, Other-relative, White, Male, 0, 0, 40, United-States, <=50K.
+20, Private, 121596, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 2907, 0, 35, United-States, <=50K.
+38, Private, 95336, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+40, ?, 299197, HS-grad, 9, Never-married, ?, Not-in-family, White, Male, 0, 0, 23, United-States, <=50K.
+58, Private, 299991, 11th, 7, Divorced, Adm-clerical, Not-in-family, White, Female, 3674, 0, 40, United-States, <=50K.
+28, Private, 70034, 9th, 5, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, Portugal, <=50K.
+30, Private, 256970, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 35, United-States, >50K.
+29, Private, 108706, Some-college, 10, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+52, Private, 227832, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K.
+26, Private, 272865, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+39, Private, 60070, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 24, United-States, <=50K.
+40, Private, 223730, Masters, 14, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 38, United-States, <=50K.
+51, Self-emp-not-inc, 22743, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 1740, 40, United-States, <=50K.
+26, Private, 195994, Bachelors, 13, Separated, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+19, ?, 181242, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+64, Private, 133169, 11th, 7, Widowed, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, India, <=50K.
+22, Private, 99199, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 50, United-States, <=50K.
+40, Private, 246949, HS-grad, 9, Divorced, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+31, Private, 284889, Bachelors, 13, Widowed, Sales, Unmarried, White, Female, 0, 0, 41, United-States, <=50K.
+35, Private, 150309, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male, 0, 1887, 40, United-States, >50K.
+24, Private, 201799, Bachelors, 13, Never-married, Transport-moving, Own-child, White, Female, 0, 0, 84, United-States, <=50K.
+58, Private, 52090, Prof-school, 15, Divorced, Tech-support, Unmarried, White, Male, 0, 0, 40, United-States, >50K.
+83, Local-gov, 107338, Some-college, 10, Widowed, Prof-specialty, Not-in-family, White, Male, 0, 0, 12, United-States, <=50K.
+45, Private, 32356, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K.
+47, Private, 50092, Bachelors, 13, Divorced, Exec-managerial, Unmarried, Other, Male, 0, 1138, 40, United-States, <=50K.
+28, Private, 311446, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+29, Federal-gov, 128553, Assoc-voc, 11, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+23, Private, 203203, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+30, Self-emp-not-inc, 429281, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, ?, <=50K.
+31, Private, 192660, Assoc-voc, 11, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K.
+30, Local-gov, 170449, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, >50K.
+57, ?, 221417, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, >50K.
+80, ?, 156942, 1st-4th, 2, Separated, ?, Not-in-family, Black, Male, 0, 0, 15, United-States, <=50K.
+21, Private, 177504, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 35, United-States, <=50K.
+24, Private, 378546, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 39, United-States, <=50K.
+39, Self-emp-not-inc, 33001, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+30, Private, 213722, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, >50K.
+36, Private, 152307, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 7298, 0, 55, United-States, >50K.
+61, Self-emp-not-inc, 53777, Prof-school, 15, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+23, Private, 60668, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 55, United-States, <=50K.
+34, Private, 132544, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 99, United-States, <=50K.
+53, Private, 277772, HS-grad, 9, Divorced, Handlers-cleaners, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+23, Private, 415755, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 30, United-States, <=50K.
+51, Private, 136080, HS-grad, 9, Divorced, Sales, Other-relative, White, Female, 0, 0, 31, United-States, <=50K.
+29, Private, 241607, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 2597, 0, 40, United-States, <=50K.
+22, Private, 180190, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+19, Private, 400356, Some-college, 10, Married-spouse-absent, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+55, Federal-gov, 154274, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 8614, 0, 40, United-States, >50K.
+48, Private, 146497, HS-grad, 9, Widowed, Sales, Unmarried, White, Female, 0, 0, 37, United-States, <=50K.
+47, Private, 189498, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 65, United-States, >50K.
+32, Private, 65942, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 56, United-States, <=50K.
+27, Self-emp-not-inc, 151382, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+41, Private, 56651, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+25, Private, 164488, Assoc-acdm, 12, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 45, United-States, <=50K.
+27, Local-gov, 183061, HS-grad, 9, Never-married, Farming-fishing, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 60, United-States, <=50K.
+31, Private, 289228, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 35, United-States, <=50K.
+28, Private, 38918, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+23, Private, 194630, HS-grad, 9, Separated, Machine-op-inspct, Own-child, White, Male, 0, 0, 53, United-States, <=50K.
+31, Private, 262848, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+21, Private, 157595, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K.
+26, Private, 102476, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+45, Local-gov, 93663, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 35, United-States, <=50K.
+30, Private, 202450, HS-grad, 9, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+45, Private, 72393, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K.
+27, Private, 53147, HS-grad, 9, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+29, Self-emp-not-inc, 337944, 11th, 7, Separated, Transport-moving, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K.
+31, Private, 37939, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+57, Private, 118993, 9th, 5, Married-civ-spouse, Transport-moving, Other-relative, White, Female, 0, 0, 40, ?, <=50K.
+60, Private, 772919, Bachelors, 13, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 25, United-States, <=50K.
+26, Private, 143062, Some-college, 10, Divorced, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+31, Local-gov, 32593, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+39, Private, 167882, 12th, 8, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 48, Haiti, <=50K.
+52, Local-gov, 48413, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+50, Private, 123429, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K.
+61, Private, 244261, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+37, State-gov, 318891, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+20, Private, 259788, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 40, United-States, <=50K.
+42, Self-emp-not-inc, 248876, Some-college, 10, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 55, United-States, <=50K.
+63, Federal-gov, 334418, 1st-4th, 2, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, Puerto-Rico, <=50K.
+38, Self-emp-not-inc, 166497, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 60, United-States, >50K.
+54, Self-emp-not-inc, 260833, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 45, United-States, >50K.
+35, Private, 107477, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+20, Private, 37932, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+58, Self-emp-not-inc, 216948, 10th, 6, Separated, Sales, Other-relative, Other, Male, 0, 0, 40, Cuba, <=50K.
+38, Private, 157473, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 48, United-States, <=50K.
+21, ?, 117222, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+27, Self-emp-inc, 186733, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+53, Private, 231472, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K.
+31, Local-gov, 187689, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+32, Private, 323985, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K.
+53, Private, 270655, 12th, 8, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 45, United-States, >50K.
+36, Private, 301614, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 45, Mexico, <=50K.
+25, Private, 112754, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+23, ?, 35633, Some-college, 10, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, ?, <=50K.
+30, Self-emp-not-inc, 112358, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+57, Self-emp-not-inc, 247337, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 72, United-States, <=50K.
+40, Self-emp-inc, 115411, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 65, United-States, >50K.
+42, State-gov, 884434, Some-college, 10, Separated, Prof-specialty, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+55, Private, 72812, HS-grad, 9, Separated, Sales, Not-in-family, White, Male, 0, 0, 36, United-States, <=50K.
+26, Private, 192549, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+43, Self-emp-not-inc, 54310, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Male, 0, 0, 50, United-States, <=50K.
+58, Self-emp-not-inc, 33386, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Wife, White, Female, 0, 0, 20, United-States, <=50K.
+30, Private, 233433, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 45, United-States, <=50K.
+24, Private, 106373, HS-grad, 9, Divorced, Handlers-cleaners, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+60, Private, 215591, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+39, Private, 184531, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+40, Private, 69495, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+63, Self-emp-not-inc, 22228, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, >50K.
+38, Private, 55899, Bachelors, 13, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+50, Self-emp-inc, 181498, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+31, State-gov, 203572, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 30, United-States, <=50K.
+23, Private, 120601, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+36, Private, 74706, 10th, 6, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+59, ?, 259673, Some-college, 10, Married-civ-spouse, ?, Husband, Other, Male, 0, 0, 40, Puerto-Rico, <=50K.
+48, Private, 126441, 1st-4th, 2, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 45, China, <=50K.
+25, Private, 127784, Some-college, 10, Never-married, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+43, Private, 33658, Some-college, 10, Married-spouse-absent, Craft-repair, Unmarried, White, Male, 0, 3004, 40, United-States, >50K.
+36, Private, 234901, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+45, Private, 34307, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+75, Private, 124660, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, >50K.
+29, Private, 278637, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+27, Private, 373545, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+17, Private, 172548, 9th, 5, Never-married, Sales, Own-child, White, Male, 0, 0, 8, United-States, <=50K.
+46, Private, 28074, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 89, United-States, >50K.
+58, Self-emp-not-inc, 127539, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 2407, 0, 25, United-States, <=50K.
+25, ?, 180246, Bachelors, 13, Never-married, ?, Not-in-family, White, Male, 0, 1408, 40, United-States, <=50K.
+34, State-gov, 377017, Masters, 14, Never-married, Prof-specialty, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+41, Private, 144925, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+51, ?, 156877, 9th, 5, Separated, ?, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K.
+19, Private, 153019, HS-grad, 9, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+47, Private, 32825, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+46, Private, 114120, Some-college, 10, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K.
+36, ?, 92440, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+42, Self-emp-not-inc, 32016, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 70, United-States, <=50K.
+51, Private, 165953, HS-grad, 9, Separated, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 45, United-States, <=50K.
+21, Private, 96061, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 10, United-States, <=50K.
+50, Private, 106422, HS-grad, 9, Married-civ-spouse, Sales, Wife, Black, Female, 0, 1485, 37, United-States, >50K.
+49, Self-emp-not-inc, 167281, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+21, Private, 137895, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+52, Private, 177487, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+32, Private, 344696, Some-college, 10, Never-married, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+66, Self-emp-not-inc, 51415, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 4931, 0, 98, United-States, <=50K.
+36, Private, 134367, Bachelors, 13, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 32, United-States, >50K.
+40, Private, 289636, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+30, Private, 165115, Assoc-voc, 11, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 30, United-States, <=50K.
+20, Private, 206008, HS-grad, 9, Never-married, Other-service, Own-child, Black, Male, 0, 0, 40, United-States, <=50K.
+22, State-gov, 149342, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 35, United-States, <=50K.
+48, Self-emp-not-inc, 90042, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 49, United-States, <=50K.
+22, Private, 495288, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 38, United-States, <=50K.
+22, Private, 234970, Some-college, 10, Never-married, Other-service, Own-child, Black, Female, 0, 0, 40, ?, <=50K.
+51, Self-emp-not-inc, 123011, HS-grad, 9, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+36, Self-emp-not-inc, 260454, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 30, United-States, <=50K.
+19, Private, 39026, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+22, Private, 278021, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+47, Self-emp-not-inc, 159399, Assoc-voc, 11, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+34, Private, 340665, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 2057, 35, United-States, <=50K.
+34, State-gov, 392518, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+24, Private, 229826, Bachelors, 13, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 20, United-States, <=50K.
+62, Private, 185503, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+25, Private, 399117, 5th-6th, 3, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Mexico, <=50K.
+45, Private, 168232, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 56, United-States, >50K.
+42, Private, 377322, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+71, Self-emp-not-inc, 141742, HS-grad, 9, Widowed, Farming-fishing, Unmarried, White, Male, 1731, 0, 5, United-States, <=50K.
+39, Private, 31964, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 80, United-States, >50K.
+45, Self-emp-not-inc, 29019, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 55, United-States, <=50K.
+67, ?, 183420, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 21, United-States, <=50K.
+36, Private, 305319, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+35, Private, 182189, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+39, Private, 257250, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K.
+60, Self-emp-not-inc, 269485, Preschool, 1, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K.
+32, Self-emp-not-inc, 182177, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+38, Private, 179481, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Poland, <=50K.
+27, Private, 199118, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, Nicaragua, <=50K.
+46, Private, 33084, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+53, Private, 185407, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K.
+38, Self-emp-not-inc, 177907, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+40, Private, 145441, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1485, 40, United-States, >50K.
+25, Private, 104830, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 15, United-States, <=50K.
+27, Private, 247507, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+71, Self-emp-inc, 216601, 11th, 7, Divorced, Machine-op-inspct, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K.
+28, Local-gov, 91670, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K.
+58, Private, 106740, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+57, Private, 122562, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, >50K.
+35, Private, 109133, HS-grad, 9, Separated, Machine-op-inspct, Not-in-family, White, Male, 3674, 0, 52, United-States, <=50K.
+35, Private, 196123, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+55, Private, 123436, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+56, Self-emp-inc, 42298, 9th, 5, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+44, Private, 297248, HS-grad, 9, Married-spouse-absent, Craft-repair, Unmarried, White, Male, 0, 0, 40, Columbia, <=50K.
+23, Private, 117363, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K.
+41, Private, 79864, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+51, Private, 190762, 1st-4th, 2, Widowed, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K.
+46, Private, 155509, Bachelors, 13, Separated, Prof-specialty, Unmarried, Black, Female, 0, 0, 32, Jamaica, <=50K.
+45, Federal-gov, 163434, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+35, Private, 153832, Assoc-voc, 11, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K.
+53, Federal-gov, 147629, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 80, United-States, >50K.
+33, Private, 488720, 5th-6th, 3, Married-civ-spouse, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K.
+49, Private, 169180, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 1876, 35, United-States, <=50K.
+37, Private, 188763, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K.
+37, Private, 229647, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 42, United-States, <=50K.
+57, Self-emp-not-inc, 321456, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 20, United-States, <=50K.
+24, Private, 199698, Assoc-acdm, 12, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 48, United-States, <=50K.
+32, Private, 226010, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+28, Private, 116298, 7th-8th, 4, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+33, Private, 130057, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+27, Private, 369188, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 90, United-States, >50K.
+32, Private, 155193, HS-grad, 9, Separated, Prof-specialty, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K.
+33, Private, 159574, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+51, Private, 299353, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 56, United-States, <=50K.
+46, Local-gov, 99971, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 56, United-States, >50K.
+65, Private, 190160, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 40, United-States, >50K.
+67, Private, 283416, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+60, Private, 224277, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, >50K.
+30, Private, 111567, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 48, United-States, <=50K.
+53, Private, 151411, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+34, Private, 346736, Assoc-acdm, 12, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 50, United-States, <=50K.
+26, Private, 264055, Some-college, 10, Never-married, Sales, Unmarried, White, Male, 0, 0, 55, United-States, <=50K.
+22, Private, 309620, HS-grad, 9, Never-married, Sales, Not-in-family, Other, Male, 0, 0, 45, ?, <=50K.
+39, Private, 224541, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+46, Private, 235334, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 99999, 0, 60, United-States, >50K.
+22, Private, 296158, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+25, Private, 153997, 10th, 6, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+53, Private, 231482, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+35, Private, 278553, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 38, United-States, <=50K.
+56, Private, 91251, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 20, China, <=50K.
+47, Self-emp-not-inc, 192053, 7th-8th, 4, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K.
+47, Private, 207120, HS-grad, 9, Separated, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 44, United-States, <=50K.
+46, Self-emp-inc, 125892, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 60, United-States, >50K.
+34, Private, 186824, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+45, Private, 200471, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 2415, 40, United-States, >50K.
+22, Private, 117779, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+23, Private, 44793, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+33, Private, 37646, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+45, Private, 174127, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+26, Private, 110103, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 1762, 40, United-States, <=50K.
+20, Private, 74631, Some-college, 10, Never-married, Sales, Other-relative, White, Female, 0, 0, 40, United-States, <=50K.
+32, Private, 211239, Some-college, 10, Married-AF-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K.
+26, ?, 157008, HS-grad, 9, Divorced, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+35, Self-emp-not-inc, 90406, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 60, United-States, <=50K.
+27, Private, 199998, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 32, United-States, <=50K.
+73, Private, 132350, 7th-8th, 4, Widowed, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 18, United-States, <=50K.
+61, Private, 233427, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 30, United-States, <=50K.
+52, Local-gov, 71489, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1579, 40, United-States, <=50K.
+34, Self-emp-inc, 119411, Some-college, 10, Never-married, Transport-moving, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+35, Private, 351772, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K.
+27, Local-gov, 34254, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+51, Private, 178693, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K.
+47, Private, 168262, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K.
+58, Private, 34169, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 3103, 0, 25, United-States, >50K.
+31, Private, 328118, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K.
+39, Self-emp-inc, 122353, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 50, United-States, >50K.
+18, Private, 37315, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 50, United-States, <=50K.
+27, Private, 181916, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+21, Private, 55465, Assoc-acdm, 12, Never-married, Other-service, Other-relative, White, Male, 0, 0, 15, United-States, <=50K.
+45, Private, 192203, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 15024, 0, 49, United-States, >50K.
+26, Private, 91683, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+18, Private, 39302, 12th, 8, Never-married, Other-service, Own-child, White, Female, 0, 0, 12, United-States, <=50K.
+27, Private, 171356, Assoc-acdm, 12, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+53, Self-emp-inc, 197189, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 72, United-States, >50K.
+47, Private, 112362, 10th, 6, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+21, Private, 228326, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+32, Private, 307353, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K.
+44, Private, 172160, 11th, 7, Divorced, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+62, Self-emp-inc, 234738, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 5013, 0, 50, United-States, <=50K.
+34, Private, 33117, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+64, Self-emp-not-inc, 217380, Prof-school, 15, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 2559, 60, United-States, >50K.
+36, Private, 157954, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+53, Private, 164299, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 1887, 65, United-States, >50K.
+61, Self-emp-not-inc, 224981, 10th, 6, Widowed, Craft-repair, Other-relative, White, Male, 0, 0, 18, Mexico, <=50K.
+25, Private, 281209, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+41, Self-emp-not-inc, 200479, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K.
+28, Private, 132750, HS-grad, 9, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 20, United-States, <=50K.
+22, Private, 21154, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 1590, 32, United-States, <=50K.
+34, State-gov, 189843, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+21, Private, 116657, HS-grad, 9, Never-married, Sales, Other-relative, White, Male, 0, 0, 40, United-States, <=50K.
+52, Private, 113522, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 45, United-States, >50K.
+53, Private, 176185, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+90, Private, 227796, Assoc-acdm, 12, Never-married, Exec-managerial, Not-in-family, White, Male, 6097, 0, 45, United-States, >50K.
+24, Private, 194891, Assoc-voc, 11, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+51, Private, 197189, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+30, Private, 182191, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 2202, 0, 38, United-States, <=50K.
+47, Private, 242559, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, Black, Female, 0, 1408, 40, United-States, <=50K.
+90, Self-emp-not-inc, 122348, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 20051, 0, 45, United-States, >50K.
+44, Private, 40024, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+43, Local-gov, 225978, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, >50K.
+18, Private, 407436, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 30, United-States, <=50K.
+60, Self-emp-not-inc, 119471, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Japan, <=50K.
+33, Private, 249409, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 35, United-States, <=50K.
+38, ?, 217409, Some-college, 10, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+48, Private, 148995, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+50, Private, 200046, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+37, Private, 215618, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+21, Private, 280081, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+46, Self-emp-inc, 340651, Bachelors, 13, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 1977, 60, United-States, >50K.
+39, Private, 111000, Masters, 14, Never-married, Other-service, Unmarried, White, Female, 0, 0, 35, United-States, <=50K.
+26, Private, 135521, Assoc-voc, 11, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 28, United-States, <=50K.
+24, Self-emp-not-inc, 194102, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+35, Self-emp-not-inc, 295127, Some-college, 10, Divorced, Farming-fishing, Unmarried, White, Male, 0, 0, 50, United-States, <=50K.
+60, ?, 102310, Assoc-acdm, 12, Divorced, ?, Not-in-family, White, Female, 0, 0, 45, Canada, <=50K.
+48, Private, 240175, 11th, 7, Separated, Other-service, Unmarried, Black, Male, 0, 0, 22, United-States, <=50K.
+41, Private, 145441, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K.
+61, Self-emp-not-inc, 243019, Preschool, 1, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+33, Private, 215596, 9th, 5, Married-civ-spouse, Craft-repair, Husband, Other, Male, 0, 0, 40, Mexico, <=50K.
+25, State-gov, 31350, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+23, Private, 246965, Some-college, 10, Never-married, Machine-op-inspct, Own-child, Black, Male, 0, 0, 40, United-States, <=50K.
+28, Private, 99838, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 38, ?, <=50K.
+40, Private, 340797, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K.
+51, ?, 29937, HS-grad, 9, Widowed, ?, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 20, United-States, <=50K.
+38, Local-gov, 30056, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+32, Private, 309903, 10th, 6, Never-married, Other-service, Unmarried, White, Female, 0, 0, 25, United-States, <=50K.
+55, State-gov, 256984, Some-college, 10, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+22, Private, 181723, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 30, Germany, <=50K.
+37, Private, 101020, Bachelors, 13, Separated, Exec-managerial, Not-in-family, White, Male, 4787, 0, 55, United-States, >50K.
+44, Self-emp-not-inc, 106900, Bachelors, 13, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+24, Private, 195770, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+49, Private, 102737, Assoc-voc, 11, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+35, Local-gov, 191779, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+56, Self-emp-not-inc, 99479, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 5013, 0, 46, United-States, <=50K.
+62, Private, 196891, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+19, ?, 208066, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+31, Private, 54341, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+21, Private, 140001, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 30, United-States, <=50K.
+26, Private, 248220, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+53, Private, 172962, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+37, Private, 88215, Masters, 14, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, China, <=50K.
+18, Private, 110142, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 15, United-States, <=50K.
+41, Self-emp-not-inc, 136986, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+52, State-gov, 206775, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+50, Private, 53497, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+22, Private, 238534, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 20, Puerto-Rico, <=50K.
+38, Private, 143123, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+36, Self-emp-not-inc, 60269, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K.
+33, Private, 82623, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 4386, 0, 48, United-States, >50K.
+40, Local-gov, 99666, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 55, United-States, <=50K.
+61, Private, 95680, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, >50K.
+44, State-gov, 208163, Assoc-voc, 11, Separated, Protective-serv, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+41, Private, 369781, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, <=50K.
+17, Private, 311288, 11th, 7, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 24, United-States, <=50K.
+42, Self-emp-not-inc, 152889, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 52, United-States, <=50K.
+38, Private, 160086, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K.
+34, Private, 117963, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 43, United-States, >50K.
+33, Private, 186884, HS-grad, 9, Married-spouse-absent, Adm-clerical, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+41, Private, 313830, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+31, ?, 212529, Some-college, 10, Never-married, ?, Own-child, Black, Male, 0, 0, 40, United-States, <=50K.
+41, Self-emp-inc, 124330, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 30, United-States, <=50K.
+53, Private, 104501, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K.
+41, Private, 43501, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K.
+24, Private, 83774, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+37, Private, 216845, Preschool, 1, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, Mexico, <=50K.
+45, Local-gov, 168191, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+62, Self-emp-not-inc, 166894, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+31, Private, 110083, HS-grad, 9, Separated, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+55, Private, 194371, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, Canada, >50K.
+36, Federal-gov, 125933, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 2258, 40, United-States, <=50K.
+22, Private, 444554, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+34, Private, 190228, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, >50K.
+27, Private, 604045, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 27828, 0, 40, United-States, >50K.
+36, Private, 241126, Some-college, 10, Divorced, Tech-support, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+38, Private, 168355, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, <=50K.
+48, State-gov, 158451, Bachelors, 13, Separated, Prof-specialty, Unmarried, White, Female, 914, 0, 40, United-States, <=50K.
+50, Private, 141608, HS-grad, 9, Separated, Other-service, Unmarried, White, Female, 0, 0, 45, United-States, <=50K.
+36, Private, 33157, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+45, Private, 187563, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 5013, 0, 45, United-States, <=50K.
+33, Private, 26252, Assoc-acdm, 12, Never-married, Other-service, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K.
+32, Local-gov, 318647, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 36, United-States, <=50K.
+47, Private, 152572, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 40, Puerto-Rico, <=50K.
+30, Private, 77634, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+40, Private, 199513, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 1408, 50, United-States, <=50K.
+19, Private, 260327, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 18, United-States, <=50K.
+23, Private, 437940, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+54, Private, 137069, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 40, India, <=50K.
+34, Local-gov, 32587, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K.
+47, Self-emp-inc, 193960, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 7298, 0, 45, United-States, >50K.
+33, Private, 170651, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 1977, 38, United-States, >50K.
+68, ?, 186163, 1st-4th, 2, Widowed, ?, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+39, Private, 114544, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K.
+28, Private, 159724, Bachelors, 13, Married-spouse-absent, Sales, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K.
+63, Private, 697806, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+34, Private, 140011, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 45, United-States, <=50K.
+53, Federal-gov, 411700, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 7298, 0, 40, United-States, >50K.
+26, State-gov, 179633, Some-college, 10, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+57, Local-gov, 317690, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 60, United-States, >50K.
+45, Local-gov, 213334, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K.
+41, Private, 165304, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, Greece, <=50K.
+57, Private, 192325, HS-grad, 9, Widowed, Other-service, Unmarried, White, Female, 0, 0, 42, United-States, <=50K.
+53, Self-emp-not-inc, 385183, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+33, Private, 232650, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K.
+47, Self-emp-not-inc, 182474, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 36, United-States, <=50K.
+37, Private, 119992, 10th, 6, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+26, Private, 376016, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K.
+39, Private, 144638, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, >50K.
+48, Federal-gov, 113612, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+65, ?, 106161, Assoc-acdm, 12, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+36, Self-emp-not-inc, 48160, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+30, Self-emp-not-inc, 55176, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 30, United-States, <=50K.
+21, Private, 291232, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+55, Private, 250149, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+62, ?, 221064, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+27, Self-emp-not-inc, 87745, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 70, United-States, <=50K.
+35, Private, 97136, Some-college, 10, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 37, United-States, <=50K.
+18, Private, 632271, Some-college, 10, Married-spouse-absent, Adm-clerical, Other-relative, White, Female, 0, 0, 40, Peru, <=50K.
+18, Private, 295607, 10th, 6, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+84, ?, 163443, 7th-8th, 4, Widowed, ?, Not-in-family, White, Male, 0, 0, 3, United-States, <=50K.
+78, Self-emp-not-inc, 213136, HS-grad, 9, Widowed, Exec-managerial, Not-in-family, White, Male, 0, 0, 24, United-States, <=50K.
+23, Private, 107882, Bachelors, 13, Never-married, Tech-support, Own-child, White, Female, 0, 0, 50, United-States, <=50K.
+35, Private, 214378, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+24, Private, 236427, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K.
+28, Private, 34292, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+33, Private, 204780, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 15024, 0, 40, United-States, >50K.
+22, Private, 161508, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+80, Private, 151959, HS-grad, 9, Widowed, Other-service, Not-in-family, Black, Male, 0, 0, 15, United-States, <=50K.
+41, Private, 196001, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 20, United-States, <=50K.
+27, Self-emp-not-inc, 211259, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K.
+45, Private, 35136, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, Black, Male, 0, 0, 40, United-States, >50K.
+52, Private, 288353, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 99999, 0, 48, United-States, >50K.
+48, Local-gov, 93449, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 99999, 0, 40, Philippines, >50K.
+17, Private, 40432, 10th, 6, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 4, United-States, <=50K.
+60, Private, 180632, 12th, 8, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+76, Private, 204113, HS-grad, 9, Widowed, Protective-serv, Not-in-family, White, Female, 7896, 0, 18, United-States, <=50K.
+22, Private, 336101, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K.
+34, Private, 235062, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+49, ?, 312552, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 2002, 70, United-States, <=50K.
+39, Private, 226947, 7th-8th, 4, Separated, Other-service, Other-relative, White, Male, 0, 0, 40, El-Salvador, <=50K.
+40, Private, 29393, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+38, ?, 115376, Some-college, 10, Married-civ-spouse, ?, Wife, Black, Female, 0, 0, 40, United-States, <=50K.
+52, Self-emp-inc, 146574, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+28, State-gov, 175389, Assoc-acdm, 12, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, Mexico, <=50K.
+26, Self-emp-inc, 316688, Some-college, 10, Never-married, Sales, Other-relative, White, Male, 0, 0, 40, United-States, <=50K.
+63, Self-emp-not-inc, 187919, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K.
+41, ?, 188436, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 20, Canada, <=50K.
+41, Private, 80666, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K.
+59, Self-emp-not-inc, 381965, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 1740, 80, United-States, <=50K.
+31, Private, 192039, Assoc-acdm, 12, Divorced, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+34, Self-emp-not-inc, 181091, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 50, United-States, <=50K.
+40, Private, 50191, 9th, 5, Divorced, Craft-repair, Unmarried, White, Male, 5455, 0, 40, United-States, <=50K.
+29, Private, 155256, Bachelors, 13, Never-married, Tech-support, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K.
+42, Private, 104973, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+35, Private, 348771, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, Canada, <=50K.
+55, Private, 96415, HS-grad, 9, Widowed, Other-service, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K.
+77, Private, 213136, Doctorate, 16, Widowed, Exec-managerial, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+59, Self-emp-inc, 155259, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 20, United-States, <=50K.
+47, Private, 95155, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 43, United-States, >50K.
+56, Private, 178787, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+34, Private, 361497, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+61, State-gov, 254890, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+36, Private, 296478, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K.
+61, Private, 179791, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+25, Self-emp-inc, 110010, HS-grad, 9, Divorced, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+35, Private, 89622, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+56, State-gov, 118614, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+30, State-gov, 35683, Bachelors, 13, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+53, Local-gov, 163815, 11th, 7, Married-civ-spouse, Other-service, Husband, White, Male, 0, 2179, 41, United-States, <=50K.
+49, Private, 175305, 7th-8th, 4, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+33, Self-emp-inc, 96245, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 99, United-States, <=50K.
+27, Private, 201017, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 80, United-States, <=50K.
+48, Private, 95388, Some-college, 10, Never-married, Exec-managerial, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K.
+42, Private, 249332, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K.
+27, Private, 194759, Assoc-acdm, 12, Married-spouse-absent, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+61, Private, 260062, 10th, 6, Never-married, Other-service, Own-child, White, Female, 4416, 0, 38, United-States, <=50K.
+36, Self-emp-not-inc, 166213, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K.
+42, Private, 46743, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 25, ?, <=50K.
+20, Private, 112387, 10th, 6, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+22, Private, 324685, 9th, 5, Never-married, Sales, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K.
+34, Private, 87943, 7th-8th, 4, Married-civ-spouse, Craft-repair, Wife, Other, Female, 0, 0, 48, ?, <=50K.
+45, Federal-gov, 187510, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+26, Private, 188703, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+38, Private, 127961, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 40, United-States, >50K.
+34, Private, 200117, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+40, Self-emp-inc, 142030, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 55, United-States, >50K.
+30, Private, 226296, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+27, Private, 239130, Prof-school, 15, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+24, Private, 165475, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K.
+46, Self-emp-inc, 328216, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 45, United-States, >50K.
+21, ?, 118023, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 35, United-States, <=50K.
+42, Self-emp-not-inc, 206066, Masters, 14, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 45, United-States, <=50K.
+29, Local-gov, 141005, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 24, United-States, <=50K.
+28, Private, 104870, Assoc-voc, 11, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 48, United-States, <=50K.
+44, Self-emp-not-inc, 253250, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 54, United-States, <=50K.
+39, Private, 497788, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K.
+42, Private, 128354, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K.
+49, Private, 140782, 10th, 6, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+37, Private, 216129, HS-grad, 9, Never-married, Craft-repair, Not-in-family, Black, Female, 0, 0, 45, United-States, <=50K.
+65, Private, 65757, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+35, ?, 264758, Some-college, 10, Married-civ-spouse, ?, Husband, Black, Male, 0, 0, 40, Haiti, <=50K.
+23, Private, 245361, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 35, United-States, <=50K.
+48, Local-gov, 216689, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+19, ?, 139517, 11th, 7, Never-married, ?, Own-child, White, Male, 0, 0, 25, United-States, <=50K.
+65, Local-gov, 188903, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 6418, 0, 45, United-States, >50K.
+18, Private, 170094, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+53, Private, 108836, 9th, 5, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+27, Private, 189565, HS-grad, 9, Married-civ-spouse, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+46, Private, 347993, 1st-4th, 2, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K.
+49, Private, 187308, Some-college, 10, Married-civ-spouse, Other-service, Other-relative, White, Male, 0, 0, 35, United-States, <=50K.
+27, State-gov, 136077, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+25, State-gov, 165457, Bachelors, 13, Never-married, Tech-support, Own-child, Asian-Pac-Islander, Male, 2463, 0, 40, United-States, <=50K.
+49, Federal-gov, 175428, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K.
+78, ?, 143574, Some-college, 10, Widowed, ?, Not-in-family, White, Male, 0, 0, 5, United-States, <=50K.
+34, Private, 349148, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+72, Private, 103990, Masters, 14, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 12, United-States, <=50K.
+55, Self-emp-inc, 183884, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+21, Private, 464484, HS-grad, 9, Married-spouse-absent, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+41, Private, 190786, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 7298, 0, 40, United-States, >50K.
+30, Private, 348592, HS-grad, 9, Separated, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+25, ?, 177839, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+32, Private, 152156, HS-grad, 9, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 53, United-States, <=50K.
+55, Private, 141807, HS-grad, 9, Married-spouse-absent, Craft-repair, Other-relative, White, Male, 0, 0, 40, Poland, <=50K.
+47, Local-gov, 188537, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 60, United-States, >50K.
+43, Private, 203233, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K.
+51, Private, 28978, Some-college, 10, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+53, Self-emp-inc, 116211, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+18, ?, 97683, HS-grad, 9, Never-married, ?, Own-child, White, Female, 0, 0, 15, United-States, <=50K.
+19, Private, 283945, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 35, United-States, <=50K.
+43, Private, 115178, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 43, United-States, >50K.
+48, State-gov, 77102, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K.
+23, Private, 132220, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+53, Private, 129301, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K.
+22, Private, 187592, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K.
+34, Private, 312667, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+36, Local-gov, 206951, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+27, Private, 587310, Assoc-acdm, 12, Married-civ-spouse, Transport-moving, Own-child, White, Male, 0, 0, 40, El-Salvador, <=50K.
+76, Private, 328227, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 5556, 0, 13, United-States, >50K.
+35, Private, 100634, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+49, Private, 274200, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 72, United-States, <=50K.
+18, Self-emp-inc, 29582, 11th, 7, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 50, United-States, <=50K.
+68, Private, 174812, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 15, United-States, <=50K.
+22, State-gov, 138513, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 15, United-States, <=50K.
+37, Private, 219137, 7th-8th, 4, Divorced, Sales, Unmarried, White, Female, 0, 0, 44, United-States, <=50K.
+23, Private, 265148, Bachelors, 13, Never-married, Sales, Other-relative, White, Male, 0, 0, 55, United-States, <=50K.
+41, Private, 302606, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+18, Private, 197600, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K.
+36, Private, 167415, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+44, Private, 13769, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, >50K.
+26, Private, 109390, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+36, Private, 218188, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 32, United-States, <=50K.
+49, Private, 167159, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+72, Private, 128529, HS-grad, 9, Widowed, Other-service, Unmarried, White, Female, 0, 0, 28, United-States, <=50K.
+22, Private, 200973, Assoc-acdm, 12, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 12, United-States, <=50K.
+22, Private, 118235, HS-grad, 9, Never-married, Sales, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 55, United-States, <=50K.
+23, Local-gov, 250165, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 594, 0, 40, United-States, <=50K.
+47, Private, 269620, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, ?, <=50K.
+46, Private, 212162, 5th-6th, 3, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+25, Private, 147638, Bachelors, 13, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, India, <=50K.
+42, Private, 304605, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+45, Self-emp-not-inc, 165267, 9th, 5, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+28, Private, 122037, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K.
+63, Self-emp-inc, 165611, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 35, United-States, <=50K.
+21, Private, 262634, 7th-8th, 4, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 36, United-States, <=50K.
+46, Private, 280766, HS-grad, 9, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 40, Cuba, <=50K.
+21, Private, 226668, Assoc-voc, 11, Never-married, Craft-repair, Not-in-family, Other, Male, 0, 0, 40, United-States, <=50K.
+37, Private, 130200, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 70, United-States, >50K.
+17, Private, 98005, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+47, Private, 308857, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+51, Private, 108914, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+64, Local-gov, 210464, Masters, 14, Widowed, Prof-specialty, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+30, Private, 172748, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+27, Private, 192140, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K.
+21, Private, 126568, HS-grad, 9, Never-married, Adm-clerical, Other-relative, White, Male, 0, 0, 40, United-States, <=50K.
+50, Private, 179339, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K.
+43, Local-gov, 31621, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 20, United-States, <=50K.
+39, Private, 365009, Bachelors, 13, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+20, Private, 344698, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 30, United-States, <=50K.
+42, Private, 159911, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 24, United-States, <=50K.
+25, Private, 389456, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 30, United-States, <=50K.
+48, Private, 167472, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+17, Private, 201412, 10th, 6, Never-married, Farming-fishing, Own-child, White, Male, 594, 0, 5, United-States, <=50K.
+26, Self-emp-not-inc, 331861, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, >50K.
+58, Private, 97541, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 46, United-States, >50K.
+34, Private, 71865, 9th, 5, Married-civ-spouse, Machine-op-inspct, Wife, Other, Female, 0, 0, 40, Portugal, <=50K.
+29, Private, 196564, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+19, Private, 218956, Some-college, 10, Never-married, Tech-support, Own-child, White, Male, 0, 0, 20, United-States, <=50K.
+27, Private, 37359, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, ?, <=50K.
+41, Private, 184630, Bachelors, 13, Divorced, Handlers-cleaners, Not-in-family, White, Male, 4416, 0, 40, United-States, <=50K.
+17, Local-gov, 161955, 11th, 7, Never-married, Adm-clerical, Own-child, Amer-Indian-Eskimo, Female, 0, 0, 30, United-States, <=50K.
+24, Private, 200089, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Guatemala, <=50K.
+39, Self-emp-not-inc, 193026, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K.
+72, Self-emp-not-inc, 336423, 5th-6th, 3, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+52, State-gov, 184529, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K.
+30, Private, 153876, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 53, United-States, <=50K.
+22, Private, 269687, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 35, United-States, <=50K.
+27, Private, 153805, Some-college, 10, Never-married, Craft-repair, Unmarried, Other, Male, 0, 0, 45, Ecuador, <=50K.
+43, Private, 151504, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+45, Private, 330087, Assoc-acdm, 12, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+59, Private, 164970, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 60, United-States, <=50K.
+23, Private, 239539, Some-college, 10, Never-married, Craft-repair, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, ?, >50K.
+55, Self-emp-not-inc, 50215, Assoc-voc, 11, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 42, United-States, <=50K.
+51, Local-gov, 80123, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 35, United-States, <=50K.
+54, ?, 55139, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 43, United-States, <=50K.
+44, ?, 276096, Some-college, 10, Never-married, ?, Other-relative, White, Male, 0, 0, 45, United-States, <=50K.
+41, Private, 222813, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K.
+24, Private, 172232, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 42, United-States, <=50K.
+54, Self-emp-not-inc, 386773, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+38, Private, 87556, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+38, State-gov, 169926, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 21, United-States, >50K.
+41, Private, 104196, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+34, Private, 320027, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+59, Private, 116637, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+33, Private, 307640, Assoc-voc, 11, Never-married, Exec-managerial, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+69, ?, 138386, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 1409, 0, 35, United-States, <=50K.
+25, Private, 269015, HS-grad, 9, Never-married, Other-service, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K.
+30, Private, 90308, Preschool, 1, Never-married, Other-service, Unmarried, White, Male, 0, 0, 28, El-Salvador, <=50K.
+41, Local-gov, 39581, HS-grad, 9, Separated, Other-service, Not-in-family, Black, Female, 4101, 0, 40, United-States, <=50K.
+49, Self-emp-not-inc, 241688, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, Cuba, <=50K.
+22, Local-gov, 467759, HS-grad, 9, Divorced, Machine-op-inspct, Own-child, White, Male, 0, 0, 48, United-States, <=50K.
+39, Private, 303677, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 15, United-States, <=50K.
+56, Private, 47392, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K.
+37, Private, 97925, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+18, Local-gov, 243240, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 15, United-States, <=50K.
+29, Private, 472344, 5th-6th, 3, Married-civ-spouse, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K.
+41, Private, 177054, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+43, Local-gov, 212206, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K.
+34, Private, 244147, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, >50K.
+29, Private, 167336, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 50, United-States, <=50K.
+43, State-gov, 135060, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, ?, >50K.
+49, Private, 52184, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+31, Private, 159187, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 25, United-States, <=50K.
+35, Federal-gov, 22494, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, >50K.
+36, Private, 219745, HS-grad, 9, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+67, Private, 113323, Masters, 14, Divorced, Adm-clerical, Unmarried, White, Male, 0, 0, 41, United-States, <=50K.
+36, Private, 181099, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+26, Private, 216741, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+51, Local-gov, 106365, Assoc-acdm, 12, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+45, Private, 124973, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 30, United-States, <=50K.
+37, Private, 73199, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, >50K.
+49, Federal-gov, 362679, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 9, United-States, >50K.
+29, Private, 197222, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+56, Private, 33115, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+42, Federal-gov, 37997, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+47, Private, 162067, Masters, 14, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, Haiti, <=50K.
+35, Private, 133839, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K.
+33, Self-emp-not-inc, 398874, Bachelors, 13, Never-married, Tech-support, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+26, Self-emp-inc, 289224, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+19, Private, 261259, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 35, United-States, <=50K.
+61, Private, 438587, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+31, Private, 271162, 11th, 7, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+66, ?, 115880, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 24, United-States, <=50K.
+21, Private, 29810, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+19, Private, 277695, Preschool, 1, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 50, Mexico, <=50K.
+35, Private, 277347, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 55, United-States, <=50K.
+43, ?, 220445, HS-grad, 9, Widowed, ?, Own-child, Black, Male, 0, 0, 40, United-States, <=50K.
+29, Private, 231507, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K.
+28, Private, 184477, Assoc-voc, 11, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K.
+24, Private, 174714, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 45, United-States, <=50K.
+24, Private, 118792, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 12, United-States, <=50K.
+46, Local-gov, 274689, Assoc-acdm, 12, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+24, Private, 148315, HS-grad, 9, Never-married, Handlers-cleaners, Unmarried, White, Male, 0, 0, 45, United-States, <=50K.
+24, Private, 99844, Masters, 14, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 60, United-States, <=50K.
+36, State-gov, 143437, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, Other, Female, 0, 0, 40, United-States, <=50K.
+22, Private, 114357, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K.
+46, ?, 427055, Some-college, 10, Divorced, ?, Not-in-family, White, Male, 0, 0, 40, United-States, >50K.
+68, Local-gov, 137518, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 33, United-States, <=50K.
+33, Private, 183125, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K.
+28, Private, 269317, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 42, United-States, <=50K.
+46, State-gov, 107682, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K.
+30, Private, 159589, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1848, 50, United-States, >50K.
+50, Private, 46401, Bachelors, 13, Married-spouse-absent, Sales, Not-in-family, White, Female, 0, 0, 20, Germany, <=50K.
+69, Self-emp-not-inc, 164754, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 20, United-States, <=50K.
+63, ?, 109446, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+33, Private, 314068, Assoc-voc, 11, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+22, Private, 242138, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+39, Federal-gov, 203070, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K.
+39, Private, 266960, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K.
+29, Self-emp-not-inc, 239511, Some-college, 10, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 50, United-States, <=50K.
+65, ?, 244749, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 20, Cuba, <=50K.
+23, Private, 244698, 5th-6th, 3, Never-married, Farming-fishing, Other-relative, White, Male, 0, 0, 35, Mexico, <=50K.
+25, Private, 207258, 9th, 5, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K.
+61, Private, 111563, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 27, United-States, <=50K.
+50, Private, 233149, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K.
+61, Private, 166789, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2246, 50, United-States, >50K.
+54, Self-emp-inc, 22743, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 99999, 0, 70, United-States, >50K.
+41, Local-gov, 180599, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+38, Private, 28738, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+38, Private, 259846, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, >50K.
+24, Self-emp-inc, 158950, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+23, Private, 185948, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+67, ?, 187553, 7th-8th, 4, Divorced, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+49, Private, 169092, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 5178, 0, 40, Canada, >50K.
+40, Private, 129298, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+36, Private, 120204, HS-grad, 9, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+49, Local-gov, 229337, HS-grad, 9, Separated, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+43, Private, 183674, 12th, 8, Married-spouse-absent, Sales, Unmarried, White, Female, 0, 0, 25, ?, <=50K.
+34, Private, 538243, Some-college, 10, Separated, Tech-support, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+38, Private, 108947, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 2174, 0, 40, United-States, <=50K.
+35, Private, 128516, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 45, United-States, <=50K.
+28, Private, 147560, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+36, Private, 131808, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 4386, 0, 40, United-States, >50K.
+33, Private, 234537, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+46, Local-gov, 165160, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K.
+51, Private, 90275, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 45, United-States, <=50K.
+26, Local-gov, 143583, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+27, Self-emp-not-inc, 210020, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+26, Private, 135603, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K.
+59, ?, 441227, Masters, 14, Married-civ-spouse, ?, Husband, Black, Male, 7298, 0, 50, United-States, >50K.
+38, Private, 341943, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+64, Private, 38274, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+35, Private, 327435, Some-college, 10, Separated, Prof-specialty, Unmarried, White, Female, 0, 0, 45, United-States, >50K.
+27, Federal-gov, 175262, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+24, Private, 376474, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 65, United-States, <=50K.
+38, Private, 171150, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 3781, 0, 78, United-States, <=50K.
+32, Private, 459465, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, El-Salvador, <=50K.
+37, Local-gov, 188391, Assoc-acdm, 12, Divorced, Other-service, Unmarried, White, Male, 0, 0, 60, United-States, >50K.
+37, Private, 196373, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+28, Private, 122913, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K.
+35, State-gov, 37314, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K.
+37, Private, 198492, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+47, Self-emp-not-inc, 20946, Bachelors, 13, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+20, Private, 281608, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K.
+31, Self-emp-not-inc, 213643, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 1590, 60, United-States, <=50K.
+18, Private, 39222, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 30, United-States, <=50K.
+23, Private, 208238, 10th, 6, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+53, Private, 261207, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Peru, <=50K.
+36, Private, 131192, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K.
+75, Private, 148214, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K.
+54, Self-emp-not-inc, 155965, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 56, United-States, <=50K.
+25, Private, 269004, Assoc-voc, 11, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+47, Self-emp-not-inc, 97883, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 48, Italy, <=50K.
+52, Private, 177942, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K.
+38, Local-gov, 360494, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+45, Self-emp-not-inc, 45136, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 60, United-States, >50K.
+28, Private, 173483, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 5013, 0, 20, United-States, <=50K.
+19, Private, 205953, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 20, United-States, <=50K.
+41, Private, 169823, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 46, United-States, >50K.
+18, Private, 99591, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 16, United-States, <=50K.
+42, Private, 32627, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+30, Private, 378009, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+48, Private, 233511, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+51, Private, 173987, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+45, Private, 162302, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 30, United-States, <=50K.
+24, Private, 192812, Masters, 14, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+65, Private, 217661, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 2246, 40, United-States, >50K.
+61, Private, 353031, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+21, Private, 155483, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+41, Self-emp-not-inc, 274158, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 30, United-States, <=50K.
+35, Local-gov, 26987, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 1876, 45, United-States, <=50K.
+49, Private, 68493, HS-grad, 9, Married-spouse-absent, Craft-repair, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K.
+19, ?, 257421, Some-college, 10, Never-married, ?, Own-child, Black, Female, 0, 0, 15, United-States, <=50K.
+26, Private, 38257, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 20, United-States, <=50K.
+22, Local-gov, 175586, HS-grad, 9, Never-married, Transport-moving, Own-child, Black, Female, 0, 0, 20, United-States, <=50K.
+49, Private, 316323, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 48, United-States, >50K.
+36, Private, 117802, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+18, Self-emp-not-inc, 454950, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+17, Private, 284277, 11th, 7, Never-married, Other-service, Own-child, White, Male, 1055, 0, 20, United-States, <=50K.
+32, State-gov, 90409, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 20, United-States, <=50K.
+43, Private, 248094, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 44, United-States, >50K.
+29, Private, 138692, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+46, Private, 173938, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 50, United-States, >50K.
+65, ?, 146722, 12th, 8, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 10, United-States, <=50K.
+31, Private, 145439, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K.
+24, Private, 324445, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+32, Private, 176410, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 38, United-States, <=50K.
+25, Private, 129275, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+28, Private, 399123, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+51, Private, 76044, Masters, 14, Divorced, Prof-specialty, Unmarried, Other, Male, 4787, 0, 35, Mexico, >50K.
+28, Private, 87632, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 43, United-States, <=50K.
+33, Private, 269605, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 32, United-States, <=50K.
+46, Private, 37718, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 1977, 50, United-States, >50K.
+70, ?, 162659, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 8, United-States, <=50K.
+45, Self-emp-not-inc, 277434, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+28, Private, 209205, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 44, United-States, <=50K.
+75, ?, 34235, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 2964, 0, 14, United-States, <=50K.
+41, Private, 141186, HS-grad, 9, Married-spouse-absent, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+48, Private, 123681, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K.
+31, Private, 174215, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 35, United-States, <=50K.
+17, Private, 96354, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+64, ?, 109108, HS-grad, 9, Divorced, ?, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K.
+37, Private, 107302, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K.
+51, Local-gov, 250054, Some-college, 10, Widowed, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+51, Private, 50459, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1740, 40, United-States, <=50K.
+57, Local-gov, 22975, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, United-States, >50K.
+29, Private, 97189, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+28, Private, 238859, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 20, United-States, <=50K.
+26, State-gov, 239303, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 3942, 0, 7, United-States, <=50K.
+33, Private, 310655, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+42, Private, 276218, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 38, United-States, <=50K.
+30, Private, 94235, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 50, United-States, >50K.
+45, Private, 135339, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 45, United-States, <=50K.
+20, Private, 199703, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 28, United-States, <=50K.
+36, Private, 52532, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+64, State-gov, 186376, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 5178, 0, 40, United-States, >50K.
+29, Private, 229124, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 48, United-States, >50K.
+18, Private, 152508, 11th, 7, Married-civ-spouse, Sales, Wife, Other, Female, 0, 0, 20, United-States, <=50K.
+45, Private, 54260, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K.
+31, Private, 48520, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 30, United-States, <=50K.
+66, Self-emp-not-inc, 439777, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 25, United-States, <=50K.
+49, Private, 191389, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+45, Private, 118714, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+22, Private, 34616, Some-college, 10, Never-married, Other-service, Unmarried, White, Female, 0, 0, 20, United-States, <=50K.
+29, ?, 199074, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 20, United-States, <=50K.
+20, ?, 112858, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 2, United-States, <=50K.
+22, Private, 199555, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K.
+21, ?, 211013, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+46, Private, 107425, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+62, Private, 106549, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+41, State-gov, 110556, Masters, 14, Married-civ-spouse, Exec-managerial, Wife, Black, Female, 0, 0, 40, United-States, <=50K.
+46, Self-emp-not-inc, 265097, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Germany, <=50K.
+41, Private, 215219, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+61, Self-emp-not-inc, 142988, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+64, Private, 239450, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K.
+18, Private, 162084, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+34, Private, 83066, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+36, Private, 181705, Some-college, 10, Separated, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+80, Private, 138737, HS-grad, 9, Divorced, Adm-clerical, Other-relative, White, Female, 0, 0, 20, United-States, <=50K.
+24, Federal-gov, 332194, 9th, 5, Never-married, Adm-clerical, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K.
+20, Private, 291979, HS-grad, 9, Never-married, Sales, Unmarried, White, Male, 0, 0, 35, United-States, <=50K.
+64, Private, 162761, Some-college, 10, Widowed, Sales, Not-in-family, White, Male, 2354, 0, 35, United-States, <=50K.
+21, Private, 153643, HS-grad, 9, Never-married, Other-service, Own-child, Black, Male, 0, 0, 70, United-States, <=50K.
+52, Private, 30908, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+31, Private, 92179, 10th, 6, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+66, Self-emp-inc, 50408, 12th, 8, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 20, United-States, <=50K.
+50, Federal-gov, 191013, HS-grad, 9, Separated, Sales, Other-relative, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K.
+62, Private, 170969, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, >50K.
+19, ?, 302229, HS-grad, 9, Never-married, ?, Own-child, Black, Male, 0, 0, 10, United-States, <=50K.
+49, Private, 80026, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+33, Private, 93056, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+38, Local-gov, 414791, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K.
+20, Private, 37894, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 1719, 30, United-States, <=50K.
+31, Local-gov, 164243, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 55, United-States, >50K.
+41, Self-emp-not-inc, 36651, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K.
+22, Self-emp-not-inc, 26248, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 50, United-States, <=50K.
+41, Private, 244522, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 42, United-States, >50K.
+39, Private, 183279, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 7298, 0, 40, United-States, >50K.
+63, Private, 177063, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+25, Private, 220220, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 47, United-States, <=50K.
+58, Private, 180779, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+26, Private, 238787, Bachelors, 13, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 20, United-States, <=50K.
+38, Private, 32086, Some-college, 10, Divorced, Adm-clerical, Own-child, White, Male, 0, 0, 52, United-States, <=50K.
+35, Private, 302149, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Cambodia, >50K.
+43, Self-emp-not-inc, 136986, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 50, United-States, >50K.
+47, State-gov, 61062, Doctorate, 16, Separated, Exec-managerial, Own-child, Asian-Pac-Islander, Male, 2354, 0, 45, United-States, <=50K.
+33, Private, 260782, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Mexico, <=50K.
+21, Private, 82061, 5th-6th, 3, Never-married, Craft-repair, Not-in-family, Other, Male, 0, 0, 32, Mexico, <=50K.
+22, Private, 254351, HS-grad, 9, Married-civ-spouse, Protective-serv, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+25, Private, 128699, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K.
+59, Private, 171328, Bachelors, 13, Married-spouse-absent, Prof-specialty, Other-relative, Black, Female, 2202, 0, 37, United-States, <=50K.
+24, ?, 152719, Some-college, 10, Never-married, ?, Own-child, Black, Female, 0, 0, 15, Haiti, <=50K.
+42, Private, 97688, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 7298, 0, 40, United-States, >50K.
+33, Private, 199248, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+25, Private, 67240, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 35, United-States, <=50K.
+27, Private, 1490400, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+36, Self-emp-not-inc, 188503, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 60, United-States, >50K.
+40, Private, 180206, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+27, Private, 201872, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+36, Private, 314373, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+36, Private, 107737, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Portugal, <=50K.
+44, Private, 209093, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+48, Local-gov, 218357, HS-grad, 9, Separated, Transport-moving, Unmarried, White, Female, 0, 0, 25, United-States, <=50K.
+43, Private, 163434, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+43, Private, 326701, 5th-6th, 3, Separated, Craft-repair, Not-in-family, Other, Male, 0, 0, 40, Mexico, <=50K.
+41, Private, 164612, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 50, United-States, >50K.
+29, Self-emp-not-inc, 37429, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 30, United-States, <=50K.
+31, Private, 408208, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 30, United-States, <=50K.
+54, Private, 105638, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+36, Private, 81259, Assoc-acdm, 12, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 36, United-States, <=50K.
+37, Private, 201141, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+27, Private, 394927, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+52, Federal-gov, 165998, Prof-school, 15, Married-civ-spouse, Armed-Forces, Husband, White, Male, 7298, 0, 50, United-States, >50K.
+40, Private, 41888, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 2415, 70, United-States, >50K.
+24, Private, 72887, HS-grad, 9, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K.
+49, Private, 56551, 9th, 5, Divorced, Craft-repair, Unmarried, White, Female, 5455, 0, 45, United-States, <=50K.
+22, Private, 227603, Some-college, 10, Never-married, Prof-specialty, Unmarried, White, Female, 0, 0, 30, United-States, <=50K.
+28, Private, 203776, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, Poland, <=50K.
+61, Private, 202060, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 34, United-States, <=50K.
+59, Private, 178282, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 7688, 0, 40, United-States, >50K.
+31, Private, 57151, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+35, Private, 399455, HS-grad, 9, Married-spouse-absent, Other-service, Unmarried, White, Female, 0, 0, 52, United-States, <=50K.
+37, Private, 52630, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+42, Private, 124692, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K.
+21, Private, 278254, Some-college, 10, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 40, United-States, <=50K.
+40, Private, 162098, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+23, Private, 304143, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 10, United-States, <=50K.
+37, Federal-gov, 287031, Masters, 14, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 50, United-States, >50K.
+38, Private, 102478, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+36, Private, 172425, HS-grad, 9, Married-spouse-absent, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, >50K.
+48, Private, 56664, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+42, Private, 247514, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Mexico, >50K.
+30, Private, 307353, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K.
+37, Private, 111129, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 39, United-States, <=50K.
+29, Private, 190539, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 55, Greece, >50K.
+47, Self-emp-inc, 224314, Bachelors, 13, Divorced, Sales, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K.
+47, Self-emp-not-inc, 59987, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 2002, 42, United-States, <=50K.
+33, Local-gov, 111746, HS-grad, 9, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K.
+24, Private, 162958, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 1980, 50, United-States, <=50K.
+68, ?, 129802, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 12, United-States, <=50K.
+43, Private, 303155, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+25, Private, 301634, Assoc-acdm, 12, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+27, Private, 156294, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+50, Private, 145033, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2415, 60, United-States, >50K.
+19, ?, 768659, Some-college, 10, Never-married, ?, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K.
+32, Private, 134679, 11th, 7, Never-married, Handlers-cleaners, Own-child, Black, Female, 0, 0, 40, United-States, <=50K.
+30, Private, 188798, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+41, Private, 122033, Some-college, 10, Never-married, Exec-managerial, Unmarried, Black, Female, 0, 0, 99, United-States, <=50K.
+21, ?, 223515, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+32, Private, 235124, 12th, 8, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 30, ?, <=50K.
+47, Private, 341814, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 45, United-States, <=50K.
+34, State-gov, 764638, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Female, 4787, 0, 47, United-States, >50K.
+47, Federal-gov, 303637, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K.
+31, Private, 307543, 10th, 6, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 99, Cuba, <=50K.
+45, Local-gov, 151267, Some-college, 10, Married-civ-spouse, Other-service, Wife, Black, Female, 0, 0, 25, United-States, <=50K.
+40, Private, 157403, Some-college, 10, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 38, United-States, <=50K.
+31, Private, 124483, Masters, 14, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 60, India, >50K.
+32, Private, 26803, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+40, Private, 131899, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+37, Private, 119992, 5th-6th, 3, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 2603, 60, United-States, <=50K.
+31, Private, 198068, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+31, Private, 264351, 12th, 8, Separated, Adm-clerical, Own-child, White, Male, 0, 0, 40, Mexico, <=50K.
+18, ?, 352430, 11th, 7, Never-married, ?, Own-child, White, Male, 0, 1602, 30, United-States, <=50K.
+61, Private, 29797, HS-grad, 9, Divorced, Sales, Other-relative, White, Female, 0, 0, 40, United-States, <=50K.
+28, Private, 54670, Assoc-acdm, 12, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, ?, <=50K.
+47, Private, 192713, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K.
+55, Self-emp-inc, 79662, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+35, Private, 190023, 11th, 7, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+31, Private, 301251, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+36, Private, 115336, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 50, United-States, >50K.
+58, Self-emp-not-inc, 98015, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 32, United-States, >50K.
+33, Self-emp-not-inc, 48189, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+33, Private, 248754, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+30, Private, 195602, 12th, 8, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 44, United-States, <=50K.
+45, State-gov, 185797, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Female, 3325, 0, 60, United-States, <=50K.
+51, Private, 192588, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 35, Philippines, <=50K.
+44, Private, 160837, 5th-6th, 3, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Puerto-Rico, <=50K.
+54, Local-gov, 128378, Masters, 14, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+42, Private, 335846, Bachelors, 13, Never-married, Exec-managerial, Unmarried, White, Female, 0, 0, 50, United-States, <=50K.
+19, Private, 179991, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 35, United-States, <=50K.
+31, Private, 151763, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+34, Private, 127875, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K.
+27, Self-emp-not-inc, 132686, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+44, Self-emp-inc, 240900, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K.
+35, Private, 65876, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 42, United-States, >50K.
+46, State-gov, 165852, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+30, Self-emp-not-inc, 437458, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K.
+63, Self-emp-not-inc, 261995, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+37, Private, 342480, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, United-States, >50K.
+58, Private, 270131, 5th-6th, 3, Widowed, Other-service, Unmarried, White, Female, 0, 0, 70, Mexico, <=50K.
+48, Private, 216414, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 70, United-States, >50K.
+30, Private, 259425, 10th, 6, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+45, Private, 144086, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+63, Self-emp-not-inc, 246124, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+53, Private, 321865, Prof-school, 15, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, >50K.
+42, Private, 32080, HS-grad, 9, Separated, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+31, Local-gov, 201697, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K.
+32, Local-gov, 300687, Masters, 14, Never-married, Prof-specialty, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+27, Private, 307724, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, ?, <=50K.
+60, Private, 40856, HS-grad, 9, Married-spouse-absent, Craft-repair, Not-in-family, White, Male, 0, 1741, 40, United-States, <=50K.
+24, ?, 115085, HS-grad, 9, Married-civ-spouse, ?, Other-relative, White, Male, 0, 0, 40, United-States, <=50K.
+37, State-gov, 202139, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K.
+34, Private, 190151, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 32, United-States, <=50K.
+40, Local-gov, 208277, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 35, United-States, <=50K.
+19, Private, 107405, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+21, Private, 194096, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+36, Private, 162029, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 3325, 0, 40, United-States, <=50K.
+46, Private, 172155, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Peru, <=50K.
+51, Self-emp-inc, 114674, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K.
+27, Private, 116298, HS-grad, 9, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+50, Local-gov, 320510, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 7298, 0, 56, United-States, >50K.
+31, Private, 158144, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+34, Private, 181651, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+32, Private, 51150, 12th, 8, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+41, State-gov, 118544, Some-college, 10, Divorced, Other-service, Own-child, White, Male, 0, 0, 12, United-States, <=50K.
+54, Private, 85423, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K.
+34, Private, 56460, Bachelors, 13, Never-married, Sales, Unmarried, White, Female, 0, 0, 41, United-States, <=50K.
+28, Private, 211208, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+17, Private, 154337, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 13, United-States, <=50K.
+22, Private, 125542, 11th, 7, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+47, Private, 175847, 5th-6th, 3, Married-civ-spouse, Transport-moving, Wife, White, Female, 0, 0, 40, Mexico, >50K.
+34, Private, 229731, HS-grad, 9, Married-spouse-absent, Other-service, Not-in-family, White, Female, 0, 0, 35, El-Salvador, <=50K.
+45, Self-emp-not-inc, 40666, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 2885, 0, 60, United-States, <=50K.
+58, Federal-gov, 215900, HS-grad, 9, Never-married, Adm-clerical, Other-relative, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K.
+75, ?, 186792, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 16, United-States, <=50K.
+18, ?, 151552, 11th, 7, Never-married, ?, Other-relative, White, Female, 0, 0, 15, United-States, <=50K.
+45, Private, 122002, Some-college, 10, Divorced, Adm-clerical, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+32, Private, 32174, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+34, Private, 349148, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 63, United-States, <=50K.
+34, Private, 209691, Some-college, 10, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 66, United-States, <=50K.
+49, Private, 163021, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+18, Local-gov, 283342, 10th, 6, Never-married, Craft-repair, Own-child, Black, Male, 0, 0, 40, United-States, <=50K.
+41, ?, 45186, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+41, Private, 175398, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K.
+30, Private, 175455, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+17, Private, 194946, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+58, ?, 183869, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 3411, 0, 80, United-States, <=50K.
+19, ?, 167428, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+35, Private, 227615, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+44, Local-gov, 196797, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, Black, Female, 0, 0, 36, United-States, >50K.
+28, Local-gov, 273051, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+42, Local-gov, 27085, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+45, Private, 235646, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+25, ?, 168358, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+40, Private, 167725, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+20, Private, 91819, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K.
+27, Private, 105830, Some-college, 10, Never-married, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+59, Private, 201159, 12th, 8, Widowed, Machine-op-inspct, Other-relative, White, Female, 0, 0, 48, United-States, <=50K.
+18, Private, 137363, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+27, Self-emp-not-inc, 164725, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 3464, 0, 35, United-States, <=50K.
+47, Private, 29438, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K.
+67, Private, 131656, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 2392, 24, United-States, >50K.
+33, State-gov, 35306, 9th, 5, Never-married, Other-service, Own-child, White, Female, 0, 0, 44, United-States, <=50K.
+63, Private, 198206, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K.
+40, Private, 103513, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+30, Private, 143078, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+28, Private, 109494, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 1485, 40, United-States, <=50K.
+28, Private, 52732, 7th-8th, 4, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+49, Self-emp-not-inc, 164495, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 35, Germany, <=50K.
+20, Self-emp-not-inc, 105997, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K.
+49, Federal-gov, 105959, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 41, United-States, >50K.
+18, Private, 216540, 11th, 7, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+28, Private, 159623, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+45, Federal-gov, 87207, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 37, United-States, <=50K.
+57, Private, 47621, 9th, 5, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 38, United-States, <=50K.
+35, Private, 190297, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1977, 65, United-States, >50K.
+66, Private, 48034, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 16, United-States, <=50K.
+47, Local-gov, 162236, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 35, United-States, >50K.
+57, Private, 104724, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K.
+25, Private, 129806, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, <=50K.
+35, Private, 170174, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+23, Local-gov, 265148, Bachelors, 13, Never-married, Prof-specialty, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+29, Private, 192237, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+18, Private, 406491, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+23, Private, 231866, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+22, Private, 292055, Assoc-voc, 11, Never-married, Sales, Not-in-family, White, Female, 0, 0, 37, United-States, <=50K.
+30, Private, 140612, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 2051, 40, United-States, <=50K.
+26, Private, 191573, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K.
+52, Private, 203635, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K.
+30, Private, 171483, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 38, United-States, <=50K.
+36, Private, 68798, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K.
+34, Private, 31752, HS-grad, 9, Divorced, Machine-op-inspct, Other-relative, White, Female, 0, 0, 40, ?, <=50K.
+59, ?, 291856, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+26, Private, 135848, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 10, Guatemala, <=50K.
+22, Private, 72887, Some-college, 10, Never-married, Other-service, Own-child, Asian-Pac-Islander, Male, 0, 0, 24, United-States, <=50K.
+47, Private, 275163, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+65, Private, 29276, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 2538, 0, 50, United-States, <=50K.
+50, Private, 224207, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+50, Local-gov, 237356, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 7298, 0, 40, United-States, >50K.
+29, Private, 393829, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K.
+58, Self-emp-not-inc, 193720, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Male, 0, 0, 20, United-States, <=50K.
+56, Self-emp-not-inc, 140729, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+22, Private, 54560, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+34, Self-emp-not-inc, 214288, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 3411, 0, 80, United-States, <=50K.
+45, Self-emp-inc, 88500, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 7298, 0, 40, United-States, >50K.
+30, Private, 287092, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 2354, 0, 40, United-States, <=50K.
+40, Private, 225263, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 45, United-States, >50K.
+52, Local-gov, 140027, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K.
+44, Private, 32000, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+44, Private, 228516, HS-grad, 9, Never-married, Other-service, Unmarried, White, Male, 0, 0, 20, Portugal, <=50K.
+27, Private, 157612, Bachelors, 13, Separated, Exec-managerial, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K.
+24, Private, 197200, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 44, United-States, <=50K.
+28, Private, 89598, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 45, United-States, <=50K.
+40, Private, 153799, Bachelors, 13, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 72, ?, >50K.
+67, ?, 101761, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, >50K.
+49, Private, 225456, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+36, Private, 348960, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+17, Local-gov, 157111, 10th, 6, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+51, Self-emp-not-inc, 85877, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 99999, 0, 60, United-States, >50K.
+72, Self-emp-not-inc, 32819, Masters, 14, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 30, United-States, <=50K.
+21, ?, 517995, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 20, United-States, <=50K.
+59, Private, 103948, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+32, Private, 96016, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+21, Private, 60668, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 50, United-States, <=50K.
+29, Local-gov, 270379, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+29, Private, 190756, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 44, United-States, <=50K.
+59, Local-gov, 221417, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K.
+23, Private, 158940, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 55, United-States, <=50K.
+67, State-gov, 121395, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 12, United-States, <=50K.
+26, Private, 196866, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K.
+35, Private, 302239, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+41, Private, 718736, Some-college, 10, Widowed, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+31, Private, 178615, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+29, Private, 158096, Bachelors, 13, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+19, ?, 317988, Some-college, 10, Never-married, ?, Not-in-family, White, Male, 0, 0, 15, United-States, <=50K.
+23, Private, 325596, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+31, Private, 120461, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K.
+80, ?, 30680, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 35, United-States, <=50K.
+22, Private, 125010, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K.
+67, Private, 268781, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 1510, 8, United-States, <=50K.
+46, Private, 36020, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+35, Private, 433682, Bachelors, 13, Never-married, Tech-support, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+32, Local-gov, 349148, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+44, Self-emp-inc, 148805, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 33, United-States, <=50K.
+24, Private, 285775, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+46, Local-gov, 126524, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1902, 40, United-States, >50K.
+52, Private, 270221, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 44, United-States, >50K.
+24, Private, 117222, HS-grad, 9, Divorced, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+31, Private, 118941, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 35, United-States, <=50K.
+59, Private, 172667, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+35, Private, 241306, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 5013, 0, 40, United-States, <=50K.
+33, State-gov, 292317, 9th, 5, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+34, Private, 182918, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 7298, 0, 46, United-States, >50K.
+76, Self-emp-not-inc, 106430, 9th, 5, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+41, ?, 119207, HS-grad, 9, Divorced, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+33, Private, 377692, Assoc-acdm, 12, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+47, Private, 284907, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+65, Federal-gov, 190160, Some-college, 10, Widowed, Adm-clerical, Not-in-family, White, Male, 0, 1944, 20, Poland, <=50K.
+65, Self-emp-inc, 226215, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+45, Private, 169324, 9th, 5, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 40, Haiti, <=50K.
+22, Private, 191460, 10th, 6, Never-married, Sales, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+36, Self-emp-not-inc, 219155, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K.
+66, ?, 52654, 11th, 7, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 32, United-States, <=50K.
+64, Self-emp-not-inc, 198466, HS-grad, 9, Widowed, Sales, Not-in-family, White, Female, 0, 0, 70, United-States, <=50K.
+47, Private, 255965, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 50, United-States, >50K.
+38, ?, 54953, HS-grad, 9, Divorced, ?, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K.
+25, Private, 290441, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K.
+44, Federal-gov, 206927, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 40, United-States, >50K.
+66, Self-emp-inc, 165609, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+33, Self-emp-inc, 206609, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 1876, 50, United-States, <=50K.
+64, Private, 211846, 10th, 6, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+17, Private, 102446, 12th, 8, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 35, United-States, <=50K.
+26, Private, 114483, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+43, Private, 199657, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 20, United-States, <=50K.
+40, Private, 192878, 10th, 6, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+43, Private, 346081, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 50, United-States, >50K.
+24, Private, 26668, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, Puerto-Rico, <=50K.
+72, ?, 272425, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 3818, 0, 4, United-States, <=50K.
+68, Local-gov, 159643, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 15, United-States, <=50K.
+51, ?, 22743, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 50, United-States, <=50K.
+21, Private, 142875, 10th, 6, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 44, United-States, <=50K.
+18, ?, 256304, HS-grad, 9, Never-married, ?, Own-child, Black, Female, 0, 0, 30, United-States, <=50K.
+36, Private, 163380, 10th, 6, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+48, Private, 162187, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 48, United-States, >50K.
+32, Private, 153353, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+75, Self-emp-inc, 134414, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+25, Private, 39212, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+42, Private, 344060, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 7298, 0, 40, Japan, >50K.
+17, Local-gov, 140240, 11th, 7, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+70, ?, 210722, Prof-school, 15, Divorced, ?, Not-in-family, White, Male, 2538, 0, 45, United-States, <=50K.
+32, Private, 285946, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K.
+34, Private, 216645, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K.
+54, Private, 54065, 7th-8th, 4, Divorced, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+24, Private, 44159, 12th, 8, Never-married, Other-service, Other-relative, Other, Male, 0, 0, 40, Dominican-Republic, <=50K.
+46, Private, 188729, Assoc-acdm, 12, Never-married, Craft-repair, Not-in-family, Black, Female, 0, 0, 50, United-States, <=50K.
+44, Self-emp-not-inc, 296982, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 48, ?, <=50K.
+56, Local-gov, 277203, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K.
+39, Private, 153949, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 30, United-States, <=50K.
+46, Federal-gov, 269890, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+35, Federal-gov, 61518, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+39, Private, 176050, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1848, 47, United-States, >50K.
+25, Private, 202700, HS-grad, 9, Never-married, Sales, Unmarried, White, Female, 0, 0, 35, United-States, <=50K.
+18, Private, 477083, 11th, 7, Never-married, Sales, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K.
+50, Private, 221532, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+43, Private, 282155, Assoc-acdm, 12, Divorced, Prof-specialty, Not-in-family, White, Female, 4650, 0, 40, United-States, <=50K.
+38, Private, 365307, HS-grad, 9, Separated, Adm-clerical, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K.
+26, Private, 248776, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+48, Private, 166863, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+42, Private, 191149, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, >50K.
+22, Private, 126822, 10th, 6, Never-married, Sales, Own-child, White, Female, 0, 0, 30, United-States, <=50K.
+20, Private, 281743, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 50, United-States, <=50K.
+27, Private, 212041, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+31, Private, 264351, 7th-8th, 4, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, Mexico, <=50K.
+54, Private, 117198, HS-grad, 9, Widowed, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+38, Private, 202937, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K.
+53, ?, 201062, HS-grad, 9, Married-civ-spouse, ?, Wife, Black, Female, 0, 0, 2, United-States, <=50K.
+51, Private, 96062, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+54, Self-emp-not-inc, 99902, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Ireland, >50K.
+54, Private, 76268, HS-grad, 9, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 80, United-States, <=50K.
+64, Private, 200517, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 39, United-States, <=50K.
+48, ?, 222478, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 20, United-States, <=50K.
+19, ?, 168471, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 15, United-States, <=50K.
+52, Private, 403027, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+34, Self-emp-not-inc, 201292, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+39, Self-emp-not-inc, 360814, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+51, Private, 155574, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+48, Private, 135525, Some-college, 10, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, >50K.
+42, Self-emp-not-inc, 24763, Bachelors, 13, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K.
+38, Self-emp-inc, 184456, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, Italy, >50K.
+40, Private, 30412, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+37, State-gov, 93225, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+60, Self-emp-not-inc, 359988, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 12, United-States, <=50K.
+60, Self-emp-not-inc, 122314, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 65, United-States, <=50K.
+59, Federal-gov, 51662, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+30, Private, 137991, Assoc-voc, 11, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 41, United-States, <=50K.
+47, State-gov, 119458, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K.
+42, Private, 208068, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, Other, Male, 7298, 0, 40, Mexico, >50K.
+32, Private, 219553, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+23, Private, 308924, HS-grad, 9, Married-civ-spouse, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K.
+27, Private, 169748, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+55, Private, 164970, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 38, United-States, <=50K.
+39, Private, 190987, Assoc-voc, 11, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 50, United-States, <=50K.
+33, Private, 250804, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, England, <=50K.
+30, Private, 85374, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+81, Private, 39667, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 20, United-States, <=50K.
+41, Private, 84817, Assoc-voc, 11, Divorced, Prof-specialty, Unmarried, White, Female, 3887, 0, 40, United-States, <=50K.
+38, Private, 227615, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Mexico, <=50K.
+54, Private, 155737, Bachelors, 13, Divorced, Sales, Not-in-family, White, Female, 8614, 0, 40, United-States, >50K.
+38, Private, 133935, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 41, El-Salvador, >50K.
+22, Federal-gov, 316438, HS-grad, 9, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 35, United-States, <=50K.
+44, Private, 107433, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K.
+36, State-gov, 28572, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K.
+32, Self-emp-not-inc, 291414, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, >50K.
+22, Private, 202153, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+45, Private, 324655, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+32, Self-emp-not-inc, 27207, 11th, 7, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 80, United-States, <=50K.
+30, Private, 184435, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+34, Private, 122749, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 32, United-States, <=50K.
+36, Private, 181146, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, India, <=50K.
+21, Private, 225311, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+40, Self-emp-not-inc, 33474, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+42, Private, 126319, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 35, United-States, <=50K.
+52, Private, 247806, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K.
+50, Private, 85815, Assoc-voc, 11, Divorced, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 38, United-States, >50K.
+48, Private, 204629, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+63, Private, 195540, Assoc-voc, 11, Divorced, Exec-managerial, Not-in-family, Black, Male, 0, 1408, 40, United-States, <=50K.
+27, Private, 113866, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K.
+31, Private, 114691, 11th, 7, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Ireland, <=50K.
+22, ?, 227943, Some-college, 10, Never-married, ?, Not-in-family, White, Male, 0, 0, 44, United-States, <=50K.
+45, Private, 310260, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, >50K.
+35, Private, 189922, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 52, United-States, >50K.
+54, Private, 249949, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K.
+23, ?, 38455, Some-college, 10, Never-married, ?, Not-in-family, White, Male, 0, 0, 11, United-States, <=50K.
+51, Private, 123429, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 15024, 0, 40, United-States, >50K.
+71, Private, 99549, 5th-6th, 3, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+50, Private, 98954, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, >50K.
+36, Private, 49794, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+47, ?, 80451, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+38, Private, 129764, Some-college, 10, Divorced, Sales, Unmarried, White, Male, 1506, 0, 50, United-States, <=50K.
+29, Private, 189702, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 10520, 0, 50, United-States, >50K.
+59, Self-emp-not-inc, 78020, 7th-8th, 4, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+27, Private, 182843, HS-grad, 9, Divorced, Other-service, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+42, Private, 53956, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+31, State-gov, 223376, Bachelors, 13, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+44, Federal-gov, 151933, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 1485, 40, United-States, >50K.
+47, Private, 100931, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+23, Private, 442478, Some-college, 10, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 15, United-States, <=50K.
+24, Private, 153082, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K.
+46, Private, 182414, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K.
+35, Local-gov, 217926, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+36, Private, 176536, Some-college, 10, Separated, Adm-clerical, Other-relative, Amer-Indian-Eskimo, Female, 0, 0, 42, United-States, <=50K.
+37, Private, 237943, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, Poland, <=50K.
+20, Private, 117789, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 10, United-States, <=50K.
+59, Private, 113838, Bachelors, 13, Widowed, Prof-specialty, Not-in-family, White, Female, 4650, 0, 37, United-States, <=50K.
+17, Private, 278414, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 15, United-States, <=50K.
+36, Private, 122493, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+57, Private, 110820, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+28, Private, 106141, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 99999, 0, 40, United-States, >50K.
+43, Self-emp-not-inc, 215896, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 50, United-States, <=50K.
+49, Private, 547108, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male, 15024, 0, 40, ?, >50K.
+50, Federal-gov, 169078, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 4386, 0, 40, United-States, >50K.
+69, Self-emp-not-inc, 227906, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 3456, 0, 30, Germany, <=50K.
+57, Private, 61298, 5th-6th, 3, Separated, Machine-op-inspct, Other-relative, White, Female, 0, 0, 40, Ecuador, <=50K.
+49, Private, 184285, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K.
+48, Private, 64156, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+61, Private, 56248, 1st-4th, 2, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 60, United-States, >50K.
+51, Private, 171275, 7th-8th, 4, Divorced, Other-service, Not-in-family, Other, Male, 0, 0, 40, Peru, <=50K.
+41, Private, 123490, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K.
+60, Private, 420842, Assoc-acdm, 12, Divorced, Priv-house-serv, Other-relative, White, Female, 0, 0, 40, ?, <=50K.
+40, Private, 51233, Bachelors, 13, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 38, United-States, <=50K.
+36, Private, 353263, Bachelors, 13, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+17, Private, 262031, 12th, 8, Never-married, Other-service, Other-relative, White, Male, 0, 0, 20, United-States, <=50K.
+50, Private, 334421, Prof-school, 15, Never-married, Prof-specialty, Other-relative, Asian-Pac-Islander, Female, 0, 1590, 25, China, <=50K.
+24, Private, 200153, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+70, ?, 187972, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+29, Federal-gov, 360186, HS-grad, 9, Never-married, Other-service, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+20, Private, 368832, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K.
+36, Private, 359131, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K.
+35, Self-emp-not-inc, 295279, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 0, 0, 37, United-States, <=50K.
+34, Private, 378272, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+18, Private, 150817, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+40, Self-emp-not-inc, 145246, Some-college, 10, Divorced, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+51, Private, 185490, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+29, Private, 217424, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, >50K.
+24, Private, 190483, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+50, Self-emp-not-inc, 391016, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+38, Private, 30509, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Wife, White, Female, 3908, 0, 50, United-States, <=50K.
+28, Private, 267661, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+57, Private, 197369, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+49, Self-emp-not-inc, 393691, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+46, Private, 168441, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K.
+47, Self-emp-inc, 85109, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+22, Private, 190457, 10th, 6, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K.
+37, Self-emp-not-inc, 289430, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Mexico, <=50K.
+39, Private, 166697, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 35, United-States, <=50K.
+24, Local-gov, 310355, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 20, Germany, <=50K.
+31, Private, 300828, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 30, United-States, <=50K.
+20, Private, 188923, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 37, United-States, <=50K.
+36, Private, 167482, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+29, Private, 114968, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+42, Private, 102988, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, Ecuador, >50K.
+67, Local-gov, 330144, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 18, United-States, <=50K.
+47, Private, 362654, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+35, Private, 179481, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K.
+42, Private, 204817, Bachelors, 13, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 35, United-States, <=50K.
+32, Private, 172402, Some-college, 10, Never-married, Adm-clerical, Unmarried, Other, Female, 0, 0, 40, United-States, <=50K.
+44, Private, 54611, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+42, State-gov, 179151, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+17, Private, 30829, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 12, United-States, <=50K.
+50, Private, 474229, HS-grad, 9, Divorced, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+46, Self-emp-not-inc, 246981, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Black, Male, 0, 0, 23, United-States, <=50K.
+39, Private, 271610, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, >50K.
+25, Private, 179138, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+19, Local-gov, 268722, Some-college, 10, Never-married, Sales, Other-relative, White, Female, 0, 0, 20, United-States, <=50K.
+46, Private, 111410, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+37, Local-gov, 125550, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 7688, 0, 40, United-States, >50K.
+24, Private, 51985, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+45, Private, 302584, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+90, Federal-gov, 311184, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 99, United-States, <=50K.
+45, Local-gov, 133969, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Thailand, <=50K.
+41, Local-gov, 214242, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 1902, 72, United-States, >50K.
+29, Private, 372149, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 35, United-States, <=50K.
+53, Private, 203967, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+21, Private, 147344, HS-grad, 9, Never-married, Transport-moving, Other-relative, White, Male, 0, 0, 60, ?, <=50K.
+45, Self-emp-inc, 139268, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K.
+38, Private, 349198, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 21, United-States, >50K.
+43, Private, 222756, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2002, 44, United-States, <=50K.
+53, Local-gov, 196395, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 40, United-States, >50K.
+22, Private, 316304, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 50, United-States, <=50K.
+44, Private, 347653, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, Germany, <=50K.
+40, Private, 176063, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 60, United-States, >50K.
+67, Private, 176835, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+58, Private, 144092, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, >50K.
+23, Private, 148709, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K.
+31, Federal-gov, 194141, Assoc-voc, 11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+28, Self-emp-inc, 215423, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 70, United-States, <=50K.
+52, Self-emp-not-inc, 128378, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+23, Private, 34431, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+21, Private, 180690, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+28, Private, 142712, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 57, United-States, >50K.
+43, State-gov, 185619, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male, 0, 0, 35, United-States, >50K.
+36, Self-emp-not-inc, 358373, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Black, Female, 0, 0, 30, United-States, <=50K.
+27, Private, 81648, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+56, Private, 244580, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K.
+31, Private, 184570, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+39, State-gov, 210150, Masters, 14, Never-married, Protective-serv, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+22, Local-gov, 212213, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K.
+37, Private, 182148, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 39, United-States, <=50K.
+29, Private, 55390, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+58, Private, 66788, HS-grad, 9, Separated, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, Portugal, <=50K.
+43, Federal-gov, 265604, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+21, Private, 110677, Some-college, 10, Married-civ-spouse, Other-service, Other-relative, White, Female, 0, 0, 30, United-States, <=50K.
+34, Private, 320077, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, >50K.
+56, Private, 201817, HS-grad, 9, Widowed, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K.
+43, Private, 142725, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 1887, 80, United-States, >50K.
+44, Self-emp-not-inc, 53956, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+45, State-gov, 116892, Assoc-acdm, 12, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+33, Private, 34572, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+40, State-gov, 287008, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+66, Local-gov, 30740, Some-college, 10, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K.
+27, Private, 162104, 7th-8th, 4, Never-married, Priv-house-serv, Own-child, White, Female, 0, 0, 30, United-States, <=50K.
+65, Private, 237024, 1st-4th, 2, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 35, Mexico, <=50K.
+20, Private, 228306, HS-grad, 9, Never-married, Tech-support, Own-child, White, Female, 0, 0, 32, United-States, <=50K.
+18, Private, 127388, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+45, Private, 72393, Bachelors, 13, Married-spouse-absent, Prof-specialty, Unmarried, White, Female, 0, 0, 38, United-States, <=50K.
+55, Self-emp-inc, 160813, HS-grad, 9, Separated, Sales, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K.
+43, Private, 255586, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+21, Private, 342575, Some-college, 10, Never-married, Sales, Own-child, Black, Female, 0, 0, 35, United-States, <=50K.
+28, Private, 181466, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+23, Private, 234108, Assoc-acdm, 12, Never-married, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+28, Private, 66414, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+21, Private, 227307, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 43, United-States, >50K.
+23, Private, 157145, HS-grad, 9, Separated, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+63, Private, 252457, HS-grad, 9, Widowed, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+60, Federal-gov, 142769, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+32, Private, 49539, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 3674, 0, 40, United-States, <=50K.
+33, Private, 249438, HS-grad, 9, Never-married, Other-service, Own-child, Black, Female, 0, 0, 40, United-States, <=50K.
+30, Private, 289293, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 3908, 0, 40, Dominican-Republic, <=50K.
+68, Self-emp-not-inc, 198884, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 25, United-States, <=50K.
+53, Local-gov, 229259, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 45, United-States, >50K.
+36, Private, 289223, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 1848, 40, United-States, >50K.
+23, Private, 42401, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+26, Private, 295055, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, Black, Male, 0, 0, 40, United-States, <=50K.
+42, State-gov, 214781, Bachelors, 13, Never-married, Prof-specialty, Unmarried, White, Male, 0, 1876, 38, United-States, <=50K.
+20, Private, 95552, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+53, Private, 308764, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K.
+36, Private, 185394, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+47, Private, 358382, Some-college, 10, Separated, Prof-specialty, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+35, Private, 195946, Assoc-acdm, 12, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Thailand, <=50K.
+32, Private, 296897, Bachelors, 13, Never-married, Prof-specialty, Own-child, Black, Female, 0, 0, 40, United-States, <=50K.
+41, Self-emp-not-inc, 230961, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K.
+22, Private, 169022, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K.
+28, Private, 209301, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1848, 40, United-States, >50K.
+42, Private, 252058, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+51, Self-emp-not-inc, 30012, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K.
+33, Private, 202046, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K.
+22, Private, 52262, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+60, Private, 96660, HS-grad, 9, Divorced, Sales, Other-relative, White, Female, 0, 0, 33, United-States, <=50K.
+50, Self-emp-not-inc, 200618, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K.
+58, Private, 177368, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 3137, 0, 16, United-States, <=50K.
+22, Private, 311311, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K.
+47, State-gov, 142856, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K.
+28, Private, 134890, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 1974, 50, United-States, <=50K.
+38, Self-emp-inc, 179579, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K.
+67, State-gov, 173623, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 4931, 0, 30, United-States, <=50K.
+76, Self-emp-inc, 99328, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 6514, 0, 40, United-States, >50K.
+41, Local-gov, 224799, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K.
+57, Self-emp-inc, 231781, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+22, Private, 41763, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+38, Local-gov, 51240, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+30, Private, 206923, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Wife, Other, Female, 0, 1977, 40, United-States, >50K.
+30, Self-emp-inc, 132601, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+27, Private, 357348, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 2202, 0, 40, United-States, <=50K.
+22, Private, 150683, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 20, United-States, <=50K.
+40, Self-emp-inc, 188615, 11th, 7, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 20, United-States, >50K.
+73, Private, 159007, Bachelors, 13, Divorced, Farming-fishing, Other-relative, White, Female, 0, 0, 12, United-States, <=50K.
+23, Private, 130959, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 2407, 0, 6, Canada, <=50K.
+51, Private, 158746, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 60, United-States, >50K.
+29, Private, 498833, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, Nicaragua, <=50K.
+46, Private, 193188, Masters, 14, Never-married, Exec-managerial, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+29, Self-emp-inc, 136277, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, Black, Female, 0, 0, 16, United-States, <=50K.
+34, Private, 137991, Bachelors, 13, Never-married, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K.
+38, Self-emp-not-inc, 187098, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K.
+62, Private, 176839, Doctorate, 16, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, >50K.
+30, State-gov, 185384, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 50, United-States, <=50K.
+20, Private, 87867, Some-college, 10, Never-married, Tech-support, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+40, Private, 111779, 11th, 7, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 36, United-States, <=50K.
+37, Local-gov, 185556, HS-grad, 9, Separated, Protective-serv, Not-in-family, White, Male, 0, 1980, 35, United-States, <=50K.
+56, Private, 59469, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Canada, <=50K.
+63, Private, 164435, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+25, Private, 259336, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, Peru, <=50K.
+40, Self-emp-not-inc, 277488, HS-grad, 9, Separated, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+53, Private, 104258, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+23, Private, 141427, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K.
+32, Private, 267052, 10th, 6, Never-married, Farming-fishing, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+33, Private, 114764, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+50, Local-gov, 151143, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+37, Private, 176357, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+29, Private, 190303, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 2463, 0, 15, United-States, <=50K.
+28, Private, 220692, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K.
+46, Private, 181970, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+42, Private, 263339, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 5178, 0, 40, United-States, >50K.
+21, Self-emp-not-inc, 83704, 9th, 5, Never-married, Sales, Own-child, White, Male, 0, 0, 30, United-States, <=50K.
+24, Private, 324960, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K.
+53, Private, 96062, 9th, 5, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+54, Private, 96678, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+36, Private, 33435, Assoc-voc, 11, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+52, Self-emp-not-inc, 399008, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 5013, 0, 40, United-States, <=50K.
+71, Private, 159722, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 25, United-States, <=50K.
+36, Private, 225172, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+52, Private, 135033, 7th-8th, 4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Ecuador, <=50K.
+38, Private, 179671, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 48, United-States, <=50K.
+56, Private, 182460, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+52, Private, 231196, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K.
+55, Private, 181974, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+31, Private, 326104, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+51, Self-emp-inc, 126850, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 65, United-States, <=50K.
+23, Private, 33644, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K.
+40, Private, 92649, Assoc-acdm, 12, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+20, Private, 353696, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 28, United-States, <=50K.
+36, Private, 238342, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+22, Private, 882849, Bachelors, 13, Never-married, Other-service, Own-child, White, Male, 0, 0, 35, United-States, <=50K.
+49, Self-emp-inc, 318280, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K.
+35, Private, 151322, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 55, United-States, >50K.
+31, Self-emp-inc, 111567, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+43, Private, 279996, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 20, United-States, <=50K.
+48, Private, 103743, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 2002, 70, United-States, <=50K.
+53, Private, 30846, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+26, Private, 191393, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Black, Male, 0, 1380, 40, United-States, <=50K.
+35, State-gov, 140564, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 5013, 0, 40, United-States, <=50K.
+37, Federal-gov, 243177, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K.
+55, Local-gov, 104996, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 15, United-States, <=50K.
+27, Local-gov, 191202, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 45, United-States, <=50K.
+47, Private, 247379, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+44, Private, 96129, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+47, ?, 58440, Assoc-voc, 11, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+24, Private, 125031, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+23, Private, 183772, Assoc-acdm, 12, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 70, United-States, <=50K.
+37, Private, 78488, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K.
+32, Self-emp-not-inc, 121058, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+43, Private, 84673, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 38, United-States, >50K.
+30, Private, 172830, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 3325, 0, 40, United-States, <=50K.
+36, Private, 307520, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, >50K.
+21, Private, 327797, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+40, Private, 108945, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 32, United-States, <=50K.
+52, Private, 164473, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 38, United-States, <=50K.
+40, Private, 144778, Bachelors, 13, Married-spouse-absent, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, >50K.
+54, Private, 69477, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 60, United-States, >50K.
+45, Private, 137946, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+28, Private, 167737, Bachelors, 13, Widowed, Other-service, Own-child, White, Male, 0, 1974, 50, United-States, <=50K.
+30, Private, 195602, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 45, ?, <=50K.
+31, Private, 140206, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K.
+42, Self-emp-inc, 272551, Bachelors, 13, Divorced, Tech-support, Not-in-family, White, Female, 0, 1564, 60, United-States, >50K.
+24, Private, 114939, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+45, Local-gov, 265477, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, France, >50K.
+51, Local-gov, 252029, Doctorate, 16, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, >50K.
+29, Self-emp-inc, 263786, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, >50K.
+35, Private, 397877, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+24, Private, 316438, 5th-6th, 3, Never-married, Machine-op-inspct, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K.
+34, Local-gov, 283921, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+29, Private, 199903, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+42, Private, 339814, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+19, ?, 191140, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 20, United-States, <=50K.
+33, Private, 174215, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 55, United-States, >50K.
+32, Private, 124420, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+34, Private, 289228, Masters, 14, Married-civ-spouse, Exec-managerial, Wife, White, Female, 15024, 0, 45, United-States, >50K.
+27, Private, 200610, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 2580, 0, 40, United-States, <=50K.
+36, Private, 140327, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 7298, 0, 35, United-States, >50K.
+39, Local-gov, 86643, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 48, United-States, <=50K.
+33, Private, 226624, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+48, Private, 365516, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K.
+27, Private, 153288, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+33, Private, 235124, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, ?, <=50K.
+28, Self-emp-inc, 160731, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+17, Private, 230999, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 16, United-States, <=50K.
+38, Private, 453663, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 44, United-States, <=50K.
+28, Private, 250967, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 2105, 0, 40, United-States, <=50K.
+22, ?, 96844, Some-college, 10, Never-married, ?, Not-in-family, White, Female, 0, 1602, 20, United-States, <=50K.
+41, Federal-gov, 149102, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 1980, 40, United-States, <=50K.
+42, Private, 226452, 9th, 5, Never-married, Machine-op-inspct, Other-relative, White, Female, 0, 0, 40, Mexico, <=50K.
+36, Private, 34378, 7th-8th, 4, Never-married, Machine-op-inspct, Unmarried, White, Male, 0, 0, 60, United-States, <=50K.
+37, Local-gov, 177277, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+38, Local-gov, 316470, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+55, Local-gov, 293104, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+55, Private, 380357, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, ?, >50K.
+36, Private, 101318, Some-college, 10, Married-spouse-absent, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, China, >50K.
+32, ?, 339099, Some-college, 10, Never-married, ?, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+52, Private, 131662, Bachelors, 13, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 45, United-States, <=50K.
+20, Private, 163333, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+43, Private, 71738, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+35, Private, 141276, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+61, Private, 242552, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 37, Honduras, <=50K.
+30, Private, 246439, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+38, Federal-gov, 81232, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+31, Private, 157568, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+21, Private, 117476, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+28, State-gov, 198201, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+57, Private, 167483, Assoc-voc, 11, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 50, United-States, <=50K.
+19, Self-emp-inc, 150384, HS-grad, 9, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+18, ?, 96244, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 45, United-States, <=50K.
+34, Private, 33678, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 4508, 0, 35, United-States, <=50K.
+42, Private, 180985, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 52, United-States, <=50K.
+36, Private, 101192, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+33, Private, 207561, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+32, Private, 105749, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+41, Self-emp-inc, 443508, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 60, United-States, >50K.
+23, Private, 249087, Bachelors, 13, Never-married, Tech-support, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+31, Local-gov, 279231, Assoc-voc, 11, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+38, Private, 180477, 10th, 6, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+51, Private, 144522, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, El-Salvador, <=50K.
+36, Local-gov, 248263, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+38, ?, 498411, Some-college, 10, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+57, Private, 102442, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+20, Private, 262877, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K.
+66, Self-emp-not-inc, 325537, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K.
+22, Private, 161638, HS-grad, 9, Never-married, Machine-op-inspct, Other-relative, White, Female, 0, 0, 40, Columbia, <=50K.
+46, Self-emp-not-inc, 24367, 10th, 6, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 99, United-States, >50K.
+38, Private, 108140, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 50, United-States, >50K.
+63, ?, 205110, 10th, 6, Widowed, ?, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+43, Self-emp-inc, 504423, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 60, Japan, >50K.
+37, Private, 264700, HS-grad, 9, Married-civ-spouse, Tech-support, Wife, Black, Female, 0, 0, 35, United-States, <=50K.
+22, Private, 335067, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K.
+58, Private, 153551, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 23, United-States, <=50K.
+43, Private, 186077, HS-grad, 9, Widowed, Transport-moving, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K.
+55, Local-gov, 85001, Masters, 14, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K.
+45, Self-emp-not-inc, 216999, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+48, Private, 107231, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K.
+36, Self-emp-not-inc, 52870, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 4386, 0, 50, United-States, >50K.
+73, Self-emp-not-inc, 228899, 7th-8th, 4, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 99, United-States, <=50K.
+29, Local-gov, 90956, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+36, Private, 186934, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+57, Self-emp-inc, 37394, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K.
+25, ?, 30840, Some-college, 10, Divorced, ?, Unmarried, White, Female, 0, 0, 40, Germany, <=50K.
+32, Private, 185177, Assoc-voc, 11, Separated, Tech-support, Own-child, White, Male, 0, 1590, 40, United-States, <=50K.
+34, Private, 312055, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, >50K.
+20, Private, 176262, Assoc-acdm, 12, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+51, Self-emp-inc, 161482, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+51, Private, 373448, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2002, 40, United-States, <=50K.
+45, Self-emp-not-inc, 277630, Some-college, 10, Divorced, Exec-managerial, Not-in-family, Black, Male, 0, 0, 48, United-States, <=50K.
+68, Self-emp-not-inc, 150904, HS-grad, 9, Widowed, Craft-repair, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K.
+73, Private, 187334, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+18, Private, 328937, 7th-8th, 4, Never-married, Other-service, Own-child, Black, Male, 0, 0, 20, United-States, <=50K.
+35, Local-gov, 132879, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+58, Private, 49159, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K.
+38, Private, 133299, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 55, United-States, <=50K.
+62, ?, 268315, Some-college, 10, Divorced, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+31, Private, 176430, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+18, Private, 211344, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+35, Private, 162302, Some-college, 10, Never-married, Tech-support, Own-child, White, Female, 0, 0, 32, United-States, <=50K.
+51, Private, 229225, Masters, 14, Divorced, Other-service, Not-in-family, Black, Female, 0, 0, 18, United-States, >50K.
+49, Self-emp-not-inc, 77404, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 44, ?, >50K.
+51, Local-gov, 202044, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K.
+28, Private, 94128, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+21, ?, 189888, Assoc-acdm, 12, Never-married, ?, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K.
+32, Private, 94041, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, >50K.
+50, State-gov, 322840, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, Poland, >50K.
+47, Federal-gov, 746660, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 1887, 40, United-States, >50K.
+54, Private, 84587, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male, 0, 0, 38, Philippines, <=50K.
+41, Private, 33126, Assoc-voc, 11, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+29, Private, 247445, HS-grad, 9, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+52, Self-emp-not-inc, 210377, 10th, 6, Married-civ-spouse, Exec-managerial, Wife, Black, Female, 0, 0, 40, United-States, <=50K.
+19, ?, 239862, Some-college, 10, Never-married, ?, Other-relative, White, Male, 0, 0, 40, United-States, <=50K.
+33, Private, 327112, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K.
+37, Self-emp-not-inc, 188563, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 55, United-States, <=50K.
+62, ?, 189098, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 15, United-States, <=50K.
+27, Private, 26326, Assoc-voc, 11, Divorced, Other-service, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K.
+46, Private, 145636, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 3103, 0, 50, United-States, >50K.
+45, State-gov, 255456, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 50, India, >50K.
+35, Private, 196373, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 1672, 40, United-States, <=50K.
+32, Private, 167476, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+32, State-gov, 59083, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K.
+36, Self-emp-not-inc, 186934, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K.
+62, ?, 188650, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 10, United-States, <=50K.
+33, Federal-gov, 373043, HS-grad, 9, Never-married, Transport-moving, Not-in-family, Black, Male, 0, 0, 34, Germany, <=50K.
+51, Private, 250423, Some-college, 10, Married-spouse-absent, Transport-moving, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+29, Private, 334032, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+29, State-gov, 89487, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+52, Private, 230205, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 2001, 32, United-States, <=50K.
+33, Private, 212980, HS-grad, 9, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+32, Private, 351770, Some-college, 10, Divorced, Farming-fishing, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+35, State-gov, 167482, HS-grad, 9, Never-married, Protective-serv, Own-child, White, Male, 0, 1980, 40, United-States, <=50K.
+23, Private, 42251, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+56, Self-emp-not-inc, 52822, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 70, United-States, <=50K.
+41, Private, 229472, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+33, Private, 93034, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Laos, <=50K.
+35, Private, 415167, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K.
+76, Self-emp-not-inc, 161182, Some-college, 10, Widowed, Sales, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K.
+38, Private, 166549, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+42, Private, 36296, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+45, Private, 272442, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K.
+22, Private, 366139, Some-college, 10, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+30, Self-emp-inc, 127651, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 65, United-States, >50K.
+59, Private, 158077, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+33, Private, 154950, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+30, Local-gov, 197886, Assoc-acdm, 12, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+43, Private, 211518, HS-grad, 9, Divorced, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+26, Private, 214303, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 20, United-States, <=50K.
+34, Private, 154120, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 60, United-States, >50K.
+53, Private, 186303, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+26, Private, 488459, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+66, Private, 423883, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+34, Private, 117963, 9th, 5, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+57, Self-emp-not-inc, 38430, 7th-8th, 4, Widowed, Farming-fishing, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+30, Private, 176969, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+18, ?, 116839, Some-college, 10, Never-married, ?, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K.
+23, Private, 212407, Bachelors, 13, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 25, United-States, <=50K.
+35, Local-gov, 110075, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 15024, 0, 50, United-States, >50K.
+40, Private, 183096, Bachelors, 13, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+45, Federal-gov, 126754, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K.
+28, Private, 216178, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+35, Private, 188391, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K.
+17, ?, 27251, 11th, 7, Widowed, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+51, Private, 40230, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 60, United-States, <=50K.
+47, Private, 100009, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K.
+27, ?, 222442, Some-college, 10, Divorced, ?, Own-child, White, Male, 0, 0, 25, El-Salvador, <=50K.
+24, Local-gov, 403471, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 48, United-States, <=50K.
+52, Private, 161482, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+20, Private, 83141, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 4416, 0, 53, United-States, <=50K.
+68, Self-emp-inc, 31661, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 65, United-States, <=50K.
+35, Private, 101073, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, >50K.
+53, Local-gov, 99682, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 2174, 0, 40, United-States, <=50K.
+23, Private, 215395, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+35, Private, 343476, 11th, 7, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+21, Private, 178363, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 20, United-States, <=50K.
+52, Private, 95872, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 55, ?, <=50K.
+49, Private, 90907, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Outlying-US(Guam-USVI-etc), >50K.
+42, Private, 165309, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+35, Private, 208358, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 37, United-States, >50K.
+42, Private, 171069, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, Black, Male, 15024, 0, 40, United-States, >50K.
+46, Private, 53540, Some-college, 10, Divorced, Prof-specialty, Not-in-family, Black, Female, 0, 0, 40, United-States, >50K.
+48, Private, 29433, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 55, United-States, <=50K.
+48, Self-emp-not-inc, 175622, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+52, Private, 231865, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 46, United-States, <=50K.
+51, Private, 266336, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 1902, 50, United-States, >50K.
+44, Self-emp-not-inc, 190290, Some-college, 10, Married-spouse-absent, Exec-managerial, Not-in-family, White, Male, 0, 0, 80, France, <=50K.
+74, Self-emp-not-inc, 45319, 12th, 8, Married-civ-spouse, Other-service, Husband, White, Male, 1409, 0, 20, Canada, <=50K.
+17, Never-worked, 131593, 11th, 7, Never-married, ?, Own-child, Black, Female, 0, 0, 20, United-States, <=50K.
+24, Local-gov, 177913, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+51, Private, 457357, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+43, Self-emp-inc, 253811, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2415, 55, United-States, >50K.
+48, Private, 501671, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 48, United-States, <=50K.
+35, State-gov, 227128, HS-grad, 9, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+40, Federal-gov, 39137, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+52, Self-emp-not-inc, 121038, HS-grad, 9, Widowed, Other-service, Unmarried, Black, Female, 0, 0, 43, United-States, <=50K.
+53, State-gov, 119570, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K.
+29, ?, 99297, HS-grad, 9, Married-civ-spouse, ?, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, Cambodia, <=50K.
+28, Self-emp-not-inc, 169460, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 80, United-States, <=50K.
+33, Private, 261639, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 4064, 0, 40, United-States, <=50K.
+21, Private, 214542, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 22, United-States, <=50K.
+31, Private, 141410, Some-college, 10, Never-married, Transport-moving, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+39, Private, 370549, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 30, United-States, >50K.
+44, Self-emp-not-inc, 234767, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 30, United-States, >50K.
+40, Private, 104196, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K.
+22, State-gov, 52262, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 20, England, <=50K.
+22, ?, 285775, Bachelors, 13, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+60, Private, 235336, Some-college, 10, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 70, United-States, <=50K.
+49, Private, 165539, Some-college, 10, Never-married, Priv-house-serv, Not-in-family, Black, Female, 0, 0, 90, Jamaica, <=50K.
+41, Private, 362815, Some-college, 10, Separated, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+24, State-gov, 292816, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+26, Private, 66692, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+55, Private, 120910, HS-grad, 9, Separated, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+36, Self-emp-inc, 116133, HS-grad, 9, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 41, United-States, <=50K.
+49, State-gov, 247043, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+23, Private, 215616, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K.
+23, Private, 131415, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 35, United-States, <=50K.
+64, Self-emp-not-inc, 169604, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 30, United-States, >50K.
+50, Private, 230858, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K.
+23, Private, 73968, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+28, Private, 339897, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+31, Private, 258406, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, Mexico, <=50K.
+30, Private, 180574, Some-college, 10, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K.
+44, Private, 88808, 12th, 8, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+24, Private, 179627, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+19, Private, 149823, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K.
+20, Private, 60639, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+30, Private, 46492, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 1902, 40, United-States, >50K.
+36, Private, 48520, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+28, Private, 306538, 12th, 8, Never-married, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+58, Private, 204678, Bachelors, 13, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 40, United-States, >50K.
+48, Private, 218676, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+35, Local-gov, 95455, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K.
+53, Self-emp-not-inc, 335655, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K.
+55, Private, 194436, 9th, 5, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+24, Private, 152724, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K.
+28, Private, 242482, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+31, Local-gov, 162041, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K.
+23, Private, 291854, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+22, ?, 48343, Some-college, 10, Never-married, ?, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K.
+77, ?, 153113, Prof-school, 15, Married-civ-spouse, ?, Husband, White, Male, 1455, 0, 25, United-States, <=50K.
+38, Private, 80680, 10th, 6, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+20, ?, 211601, Assoc-voc, 11, Never-married, ?, Own-child, Black, Female, 0, 0, 15, United-States, <=50K.
+31, Self-emp-inc, 264554, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1977, 40, United-States, >50K.
+29, Private, 319998, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+20, Private, 194228, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+62, Self-emp-not-inc, 236247, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 20, United-States, <=50K.
+28, Self-emp-not-inc, 123983, Masters, 14, Divorced, Sales, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 54, South, <=50K.
+49, Private, 166215, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+34, Private, 178623, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, Black, Female, 0, 0, 35, United-States, <=50K.
+51, Self-emp-not-inc, 174102, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 8, United-States, <=50K.
+32, Private, 292217, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 2829, 0, 40, ?, <=50K.
+44, Private, 198452, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+40, Private, 96497, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+62, ?, 194660, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, >50K.
+37, Private, 216924, HS-grad, 9, Divorced, Farming-fishing, Own-child, White, Male, 0, 0, 60, United-States, <=50K.
+26, Private, 206721, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 50, United-States, <=50K.
+37, State-gov, 49105, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 25, United-States, <=50K.
+62, Federal-gov, 164021, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+46, Private, 91608, Prof-school, 15, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+51, Self-emp-not-inc, 323963, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, >50K.
+42, Private, 70037, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+61, Private, 289950, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 44, United-States, >50K.
+65, Private, 213149, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+44, Federal-gov, 320451, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 15024, 0, 40, Philippines, >50K.
+22, Private, 351952, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 38, United-States, <=50K.
+50, Private, 146015, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+19, Private, 281704, Some-college, 10, Never-married, Farming-fishing, Other-relative, White, Male, 0, 0, 8, United-States, <=50K.
+44, Federal-gov, 786418, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 60, United-States, <=50K.
+29, Private, 214689, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+48, Private, 193188, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+55, Self-emp-inc, 142020, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 80, United-States, <=50K.
+78, ?, 317311, HS-grad, 9, Widowed, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+43, Private, 213416, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K.
+47, Federal-gov, 326048, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+22, Private, 191265, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K.
+47, Private, 348986, HS-grad, 9, Married-civ-spouse, Other-service, Other-relative, Asian-Pac-Islander, Female, 0, 0, 28, Taiwan, <=50K.
+24, Private, 126613, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K.
+26, ?, 40032, Bachelors, 13, Never-married, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+38, Private, 150057, Masters, 14, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, Poland, <=50K.
+39, Private, 113725, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Female, 8614, 0, 40, United-States, >50K.
+24, Private, 140500, 10th, 6, Never-married, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+31, Private, 113364, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K.
+65, Private, 176219, HS-grad, 9, Married-spouse-absent, Other-service, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, South, <=50K.
+19, Private, 146189, HS-grad, 9, Never-married, Sales, Other-relative, Amer-Indian-Eskimo, Female, 0, 0, 78, United-States, <=50K.
+45, Private, 83993, Assoc-acdm, 12, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 56, United-States, >50K.
+33, Private, 194336, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 5178, 0, 50, United-States, >50K.
+61, State-gov, 349434, Bachelors, 13, Divorced, Exec-managerial, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+55, Private, 142020, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+27, Private, 48894, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 42, United-States, <=50K.
+29, Private, 226295, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 36, United-States, <=50K.
+40, Private, 77313, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 60, United-States, >50K.
+36, Private, 305935, HS-grad, 9, Divorced, Other-service, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K.
+23, Private, 287988, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K.
+49, Local-gov, 49275, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+39, Private, 102865, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+47, Private, 209146, Masters, 14, Divorced, Sales, Not-in-family, White, Male, 27828, 0, 40, United-States, >50K.
+40, Private, 173001, Some-college, 10, Married-civ-spouse, Tech-support, Own-child, White, Female, 0, 1902, 40, United-States, >50K.
+40, Private, 277256, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 2559, 55, United-States, >50K.
+46, Private, 20534, Masters, 14, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 20, United-States, <=50K.
+35, Private, 60227, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+19, State-gov, 176936, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 30, United-States, <=50K.
+42, Private, 49255, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 4386, 0, 40, United-States, >50K.
+64, ?, 232787, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+49, Private, 235095, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+44, Private, 190531, Bachelors, 13, Divorced, Prof-specialty, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K.
+64, Without-pay, 209291, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 60, United-States, >50K.
+23, Private, 109053, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 60, United-States, <=50K.
+22, Private, 183594, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+22, Private, 361608, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+43, Private, 257028, Assoc-acdm, 12, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, Haiti, <=50K.
+34, Private, 66561, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 37, United-States, <=50K.
+21, Private, 176486, Some-college, 10, Never-married, Exec-managerial, Unmarried, White, Female, 0, 0, 30, United-States, <=50K.
+21, Private, 565313, HS-grad, 9, Never-married, Other-service, Own-child, Black, Male, 0, 0, 40, United-States, <=50K.
+34, Local-gov, 198953, Some-college, 10, Divorced, Protective-serv, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+68, State-gov, 99106, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K.
+45, Private, 213140, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 52, United-States, >50K.
+33, Private, 66384, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 38, United-States, <=50K.
+41, Private, 483201, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K.
+19, ?, 466458, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 45, United-States, <=50K.
+30, Private, 90446, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, Mexico, <=50K.
+69, Self-emp-not-inc, 165017, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+25, Private, 120596, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 44, United-States, <=50K.
+36, Private, 345310, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 30, United-States, <=50K.
+20, ?, 94746, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, Portugal, <=50K.
+38, Local-gov, 338611, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+40, Self-emp-inc, 275366, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K.
+59, Private, 188872, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K.
+36, Private, 359397, 11th, 7, Married-civ-spouse, Handlers-cleaners, Husband, Other, Male, 0, 0, 40, United-States, <=50K.
+33, Private, 158800, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+31, Private, 31510, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+51, Private, 358740, 11th, 7, Divorced, Sales, Unmarried, White, Female, 0, 0, 35, United-States, <=50K.
+31, Private, 257148, Bachelors, 13, Widowed, Prof-specialty, Own-child, White, Male, 0, 0, 35, United-States, <=50K.
+48, Private, 174525, 1st-4th, 2, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 52, Dominican-Republic, <=50K.
+52, Private, 161599, HS-grad, 9, Married-civ-spouse, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K.
+41, Private, 193494, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 44, United-States, <=50K.
+40, Local-gov, 231832, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+53, Local-gov, 146834, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+24, Private, 63927, Some-college, 10, Never-married, Tech-support, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+38, Private, 278403, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 48, United-States, <=50K.
+53, Private, 241141, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, ?, <=50K.
+70, Local-gov, 127463, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+58, Private, 175017, 11th, 7, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 1672, 40, United-States, <=50K.
+54, Private, 56741, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+44, Private, 107683, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Wife, White, Female, 4386, 0, 40, United-States, >50K.
+42, Private, 270324, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, Jamaica, <=50K.
+47, State-gov, 304512, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, >50K.
+34, Private, 167049, Bachelors, 13, Married-civ-spouse, Priv-house-serv, Wife, White, Female, 0, 0, 20, United-States, >50K.
+39, Self-emp-inc, 88973, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 84, United-States, >50K.
+52, Private, 210736, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K.
+21, State-gov, 73514, HS-grad, 9, Never-married, Other-service, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K.
+57, Self-emp-not-inc, 75785, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 70, United-States, <=50K.
+71, Self-emp-not-inc, 137723, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 1455, 0, 3, United-States, <=50K.
+28, Private, 220043, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K.
+21, State-gov, 132247, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 35, United-States, <=50K.
+38, Private, 65390, 12th, 8, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+21, ?, 177144, Some-college, 10, Never-married, ?, Own-child, Asian-Pac-Islander, Male, 0, 0, 22, India, <=50K.
+47, Local-gov, 358668, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K.
+85, Private, 188328, Masters, 14, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 5, United-States, <=50K.
+53, Private, 350510, 5th-6th, 3, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+54, Federal-gov, 72257, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 7688, 0, 40, United-States, >50K.
+53, Private, 183668, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 3464, 0, 34, United-States, <=50K.
+46, Private, 168262, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K.
+46, Private, 153536, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 3103, 0, 40, United-States, >50K.
+36, Private, 189703, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 60, United-States, >50K.
+73, Local-gov, 147703, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K.
+23, Private, 173670, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 45, United-States, <=50K.
+42, Private, 231832, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 45, United-States, >50K.
+39, Private, 33223, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K.
+34, Private, 130021, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 48, United-States, <=50K.
+57, Self-emp-not-inc, 50990, Some-college, 10, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+49, Self-emp-not-inc, 308241, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 60, United-States, <=50K.
+20, Private, 254025, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+45, Private, 377622, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+64, Private, 217802, HS-grad, 9, Widowed, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+19, Private, 39477, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+19, Private, 138946, 7th-8th, 4, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+17, Private, 35603, 12th, 8, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+67, Private, 142624, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, ?, <=50K.
+22, Private, 92609, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 50, United-States, <=50K.
+41, Self-emp-not-inc, 111232, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+22, Private, 203518, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K.
+38, Local-gov, 233571, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+40, Self-emp-not-inc, 45093, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+23, Private, 175431, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 2174, 0, 40, United-States, <=50K.
+90, Private, 225063, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, South, <=50K.
+18, Private, 391495, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K.
+31, Private, 162312, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 35, Philippines, <=50K.
+34, Self-emp-not-inc, 151733, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, <=50K.
+44, Private, 172026, HS-grad, 9, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 40, United-States, >50K.
+17, Private, 323164, 10th, 6, Never-married, Craft-repair, Own-child, Other, Female, 0, 0, 35, El-Salvador, <=50K.
+67, ?, 129824, 7th-8th, 4, Widowed, ?, Not-in-family, White, Female, 0, 0, 6, United-States, <=50K.
+21, Private, 203715, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+57, Private, 156040, 5th-6th, 3, Separated, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+26, Private, 186168, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+33, Private, 154227, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K.
+43, Private, 141327, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+35, Private, 103925, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K.
+46, Private, 118633, HS-grad, 9, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 80, United-States, <=50K.
+48, Private, 207540, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Male, 99999, 0, 60, United-States, >50K.
+52, Self-emp-not-inc, 106728, Assoc-acdm, 12, Divorced, Sales, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+28, Private, 192237, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 35, United-States, <=50K.
+35, Private, 132879, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 15024, 0, 40, Italy, >50K.
+17, Private, 148345, 11th, 7, Never-married, Protective-serv, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+47, Self-emp-not-inc, 326292, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, >50K.
+38, Private, 33975, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+34, Private, 112115, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K.
+36, Private, 129357, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+47, Private, 175958, Some-college, 10, Separated, Other-service, Not-in-family, White, Male, 0, 0, 21, United-States, <=50K.
+58, Private, 125317, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K.
+46, Private, 424934, 10th, 6, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 40, Portugal, <=50K.
+28, Private, 204648, HS-grad, 9, Separated, Other-service, Unmarried, Black, Female, 0, 0, 20, United-States, <=50K.
+46, Private, 186256, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 1902, 55, United-States, >50K.
+35, Local-gov, 126569, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+27, Private, 89813, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+41, Private, 149576, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+22, Private, 220426, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+20, Private, 72055, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+32, Private, 94939, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, <=50K.
+29, Federal-gov, 104917, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 44, United-States, <=50K.
+23, Private, 314645, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K.
+81, Self-emp-not-inc, 108604, 10th, 6, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+17, Private, 153542, 10th, 6, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+40, Private, 226902, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+19, Private, 450200, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K.
+50, Self-emp-not-inc, 279129, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 20, United-States, <=50K.
+42, Private, 242619, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+18, Self-emp-inc, 357223, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 16, United-States, <=50K.
+38, Private, 206951, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+67, Private, 70737, 9th, 5, Widowed, Handlers-cleaners, Unmarried, White, Female, 0, 0, 32, United-States, <=50K.
+55, Private, 200939, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, >50K.
+46, Self-emp-inc, 192128, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K.
+31, Private, 188798, Masters, 14, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K.
+23, ?, 202920, Assoc-acdm, 12, Never-married, ?, Own-child, White, Female, 0, 0, 30, United-States, <=50K.
+30, Private, 205407, HS-grad, 9, Divorced, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, United-States, <=50K.
+23, ?, 24008, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 1719, 40, United-States, <=50K.
+52, Private, 172962, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+63, Local-gov, 83791, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 45, United-States, <=50K.
+69, Private, 304838, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 28, United-States, <=50K.
+40, Private, 165858, Assoc-acdm, 12, Never-married, Sales, Not-in-family, White, Male, 0, 0, 80, United-States, >50K.
+33, Private, 110592, 12th, 8, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+81, Private, 164416, Prof-school, 15, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K.
+71, Private, 345339, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 28, United-States, <=50K.
+26, Private, 129806, 10th, 6, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+51, Local-gov, 205100, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 32, United-States, >50K.
+26, Local-gov, 250551, HS-grad, 9, Married-civ-spouse, Craft-repair, Own-child, Black, Male, 0, 0, 40, United-States, <=50K.
+56, Self-emp-not-inc, 285832, Masters, 14, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 70, United-States, <=50K.
+18, Private, 338717, 11th, 7, Never-married, Handlers-cleaners, Not-in-family, Other, Male, 0, 0, 25, United-States, <=50K.
+43, State-gov, 187802, Some-college, 10, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 37, United-States, <=50K.
+46, Private, 215895, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 4787, 0, 60, United-States, >50K.
+30, Private, 100135, Bachelors, 13, Never-married, Sales, Other-relative, White, Female, 0, 0, 40, United-States, <=50K.
+34, Private, 137616, 9th, 5, Never-married, Sales, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K.
+36, Private, 341672, HS-grad, 9, Married-spouse-absent, Adm-clerical, Other-relative, Asian-Pac-Islander, Male, 0, 0, 60, India, <=50K.
+44, Private, 322044, Some-college, 10, Divorced, Machine-op-inspct, Own-child, Black, Male, 0, 0, 40, United-States, <=50K.
+38, Private, 149347, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K.
+43, Self-emp-not-inc, 293809, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 20, United-States, <=50K.
+46, Local-gov, 93639, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+22, ?, 166297, Some-college, 10, Never-married, ?, Own-child, Asian-Pac-Islander, Male, 0, 0, 20, United-States, <=50K.
+61, Private, 167840, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 2002, 38, United-States, <=50K.
+31, Private, 180656, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, ?, <=50K.
+41, Self-emp-not-inc, 197176, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+25, Private, 207965, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K.
+34, Federal-gov, 23940, Some-college, 10, Divorced, Exec-managerial, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K.
+39, Private, 67433, Assoc-voc, 11, Never-married, Prof-specialty, Not-in-family, White, Female, 4650, 0, 32, United-States, <=50K.
+20, Private, 190916, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+45, Private, 235892, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K.
+18, Private, 240767, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K.
+27, Private, 194515, Some-college, 10, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 37, United-States, <=50K.
+33, Private, 156464, 10th, 6, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+42, Private, 117728, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+49, Self-emp-inc, 195727, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+36, Private, 133454, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+28, Private, 191177, Assoc-voc, 11, Divorced, Prof-specialty, Unmarried, White, Female, 0, 1726, 40, United-States, <=50K.
+56, State-gov, 71075, Assoc-acdm, 12, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K.
+18, Private, 233740, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 18, United-States, <=50K.
+65, Private, 185455, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K.
+17, Private, 141445, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K.
+27, Private, 131712, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1485, 50, United-States, >50K.
+23, Private, 210338, Bachelors, 13, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 30, United-States, <=50K.
+39, Private, 465334, 11th, 7, Divorced, Farming-fishing, Unmarried, White, Male, 0, 0, 1, United-States, <=50K.
+46, Private, 168069, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+32, Private, 80557, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 70, United-States, <=50K.
+34, Private, 110622, Bachelors, 13, Never-married, Adm-clerical, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K.
+26, Private, 40255, Assoc-voc, 11, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+80, ?, 402748, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 14, Canada, <=50K.
+61, Private, 97030, 10th, 6, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K.
+19, ?, 39477, Some-college, 10, Never-married, ?, Other-relative, White, Male, 0, 0, 40, United-States, <=50K.
+31, Self-emp-not-inc, 152351, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 48, United-States, <=50K.
+56, Federal-gov, 229939, HS-grad, 9, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+23, Private, 131230, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K.
+48, Private, 182211, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+73, Private, 57435, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 20, United-States, >50K.
+29, ?, 225654, HS-grad, 9, Never-married, ?, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+28, Private, 252424, Assoc-voc, 11, Never-married, Transport-moving, Own-child, Black, Male, 0, 0, 40, Cambodia, <=50K.
+48, ?, 155509, 11th, 7, Divorced, ?, Unmarried, Black, Female, 0, 0, 10, Haiti, <=50K.
+41, Private, 29591, Assoc-voc, 11, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K.
+28, Private, 101774, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1848, 50, United-States, >50K.
+37, Local-gov, 74194, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+20, Private, 171156, Some-college, 10, Never-married, Sales, Unmarried, White, Female, 0, 0, 35, United-States, <=50K.
+45, Private, 145637, Assoc-voc, 11, Never-married, Sales, Not-in-family, White, Female, 14344, 0, 48, United-States, >50K.
+34, Private, 172714, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K.
+72, Private, 188528, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, Canada, >50K.
+54, Federal-gov, 89705, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+24, Private, 165107, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+23, Private, 347873, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 30, Vietnam, <=50K.
+21, ?, 298342, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+49, Local-gov, 53482, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+45, Private, 162958, HS-grad, 9, Separated, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K.
+41, Self-emp-not-inc, 366483, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 36, Mexico, <=50K.
+51, Federal-gov, 335481, Some-college, 10, Separated, Prof-specialty, Not-in-family, Black, Female, 0, 0, 40, United-States, >50K.
+40, Private, 197609, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 1340, 40, United-States, <=50K.
+29, State-gov, 160731, Masters, 14, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 50, Germany, <=50K.
+26, Private, 210848, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 2635, 0, 35, Mexico, <=50K.
+59, Private, 196126, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+36, Private, 201519, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+48, Local-gov, 121124, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K.
+22, State-gov, 203518, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 16, United-States, <=50K.
+52, Private, 254230, 9th, 5, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, >50K.
+39, Private, 136531, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 47, United-States, <=50K.
+25, Private, 108505, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+37, Self-emp-not-inc, 31095, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, >50K.
+37, Private, 149347, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+33, Self-emp-not-inc, 188246, Bachelors, 13, Divorced, Craft-repair, Not-in-family, White, Male, 0, 1590, 60, United-States, <=50K.
+48, State-gov, 185859, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 38, United-States, >50K.
+29, Private, 227879, Assoc-voc, 11, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+59, Private, 75541, HS-grad, 9, Widowed, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+48, Private, 99385, HS-grad, 9, Separated, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+49, Private, 403061, 1st-4th, 2, Never-married, Machine-op-inspct, Other-relative, White, Female, 0, 0, 40, Mexico, <=50K.
+23, State-gov, 82067, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+26, Private, 140434, Some-college, 10, Divorced, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+34, Private, 159268, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+20, ?, 162945, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+39, Private, 365430, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K.
+50, Self-emp-not-inc, 163678, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+54, Private, 230919, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 7688, 0, 60, United-States, >50K.
+37, Private, 112264, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+34, Self-emp-not-inc, 192900, Some-college, 10, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K.
+23, Private, 355856, Bachelors, 13, Never-married, Sales, Own-child, Asian-Pac-Islander, Male, 0, 0, 20, United-States, <=50K.
+20, ?, 156916, Some-college, 10, Never-married, ?, Own-child, Black, Female, 0, 0, 40, United-States, <=50K.
+37, Private, 172927, Some-college, 10, Divorced, Transport-moving, Not-in-family, White, Male, 0, 1741, 70, United-States, <=50K.
+19, ?, 170125, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 25, United-States, <=50K.
+35, Private, 305379, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 50, United-States, >50K.
+24, Private, 206974, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+23, Federal-gov, 482096, Assoc-acdm, 12, Never-married, Adm-clerical, Own-child, Black, Male, 0, 0, 20, United-States, <=50K.
+23, Local-gov, 267843, Bachelors, 13, Never-married, Prof-specialty, Own-child, Black, Female, 0, 0, 32, United-States, <=50K.
+27, Private, 173927, Some-college, 10, Never-married, Tech-support, Own-child, Other, Female, 0, 0, 32, Jamaica, <=50K.
+25, Private, 225865, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 50, United-States, <=50K.
+27, State-gov, 261278, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, Black, Female, 0, 0, 80, ?, <=50K.
+68, ?, 180082, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 23, United-States, <=50K.
+45, Private, 115187, Assoc-voc, 11, Divorced, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+55, Private, 451603, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+46, Private, 145041, Bachelors, 13, Divorced, Machine-op-inspct, Other-relative, White, Male, 0, 2258, 50, Dominican-Republic, <=50K.
+31, Self-emp-not-inc, 132705, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+33, Local-gov, 177695, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K.
+40, Private, 197033, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+23, Private, 307267, Masters, 14, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 10, United-States, <=50K.
+39, Self-emp-not-inc, 341643, HS-grad, 9, Separated, Craft-repair, Not-in-family, White, Male, 0, 1669, 50, United-States, <=50K.
+32, Private, 256362, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K.
+55, Self-emp-not-inc, 153484, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+46, Federal-gov, 308077, Some-college, 10, Separated, Exec-managerial, Unmarried, White, Female, 0, 0, 50, United-States, <=50K.
+29, Private, 156266, Assoc-acdm, 12, Never-married, Exec-managerial, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 25, United-States, <=50K.
+49, Self-emp-inc, 106634, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 27828, 0, 35, United-States, >50K.
+59, Private, 198435, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+30, Private, 37210, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+47, Private, 237914, HS-grad, 9, Widowed, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+58, Private, 186106, 7th-8th, 4, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+58, Private, 236731, 1st-4th, 2, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Cuba, <=50K.
+20, Self-emp-inc, 465725, HS-grad, 9, Divorced, Handlers-cleaners, Own-child, White, Male, 0, 0, 25, United-States, <=50K.
+43, Private, 343121, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K.
+19, Private, 298435, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 2001, 40, Cuba, <=50K.
+40, State-gov, 255824, Masters, 14, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K.
+23, Local-gov, 255252, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K.
+61, Private, 184167, 12th, 8, Married-civ-spouse, Craft-repair, Wife, Black, Female, 0, 0, 40, United-States, <=50K.
+54, Private, 145419, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K.
+32, Private, 87310, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K.
+25, Self-emp-not-inc, 55048, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 36, United-States, <=50K.
+30, Private, 104052, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 42, United-States, <=50K.
+19, Private, 41163, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K.
+23, ?, 502633, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+65, Private, 176279, Assoc-voc, 11, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 35, United-States, <=50K.
+25, Private, 279833, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 1590, 44, United-States, <=50K.
+21, Private, 254351, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K.
+48, Private, 284916, 9th, 5, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, ?, <=50K.
+23, Self-emp-not-inc, 188925, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+24, Private, 180954, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+30, Private, 108023, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+31, Private, 197058, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 2597, 0, 45, United-States, <=50K.
+58, Private, 100303, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+33, Private, 473133, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 50, United-States, >50K.
+32, State-gov, 27051, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 52, United-States, >50K.
+29, Private, 163708, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female, 0, 0, 45, United-States, >50K.
+61, Private, 52765, HS-grad, 9, Divorced, Other-service, Other-relative, White, Female, 0, 0, 99, United-States, <=50K.
+43, Self-emp-inc, 84924, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 44, United-States, >50K.
+38, Private, 181705, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+17, Private, 52012, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K.
+36, Private, 167691, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K.
+45, Federal-gov, 182470, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K.
+62, Private, 200834, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, <=50K.
+46, State-gov, 76075, Assoc-voc, 11, Divorced, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+42, Self-emp-not-inc, 200574, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K.
+31, Private, 29144, Some-college, 10, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+42, Self-emp-not-inc, 34722, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+37, Private, 177907, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, ?, >50K.
+51, Private, 238481, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 1902, 42, United-States, >50K.
+45, Private, 182541, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+73, Federal-gov, 142426, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 25124, 0, 20, United-States, >50K.
+19, Private, 216413, HS-grad, 9, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 55, United-States, <=50K.
+29, Private, 30070, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+39, Private, 82699, Prof-school, 15, Divorced, Prof-specialty, Not-in-family, Black, Female, 13550, 0, 70, United-States, >50K.
+32, Private, 236861, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K.
+46, Private, 114328, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+42, Private, 198229, Prof-school, 15, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 65, United-States, >50K.
+24, Private, 138892, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+41, Local-gov, 271927, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K.
+64, ?, 220258, HS-grad, 9, Divorced, ?, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K.
+28, Private, 212588, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+57, Private, 477867, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+29, Private, 394927, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, >50K.
+35, Private, 155611, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Female, 114, 0, 40, United-States, <=50K.
+39, Private, 109351, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 30, United-States, >50K.
+38, Private, 206520, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+40, Private, 156526, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+49, Private, 315437, HS-grad, 9, Separated, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+32, Private, 181665, HS-grad, 9, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 50, United-States, <=50K.
+40, Private, 60594, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 30, United-States, <=50K.
+29, Private, 221233, Assoc-acdm, 12, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 37, United-States, <=50K.
+36, Self-emp-inc, 176900, Some-college, 10, Married-spouse-absent, Adm-clerical, Unmarried, White, Female, 0, 0, 25, United-States, <=50K.
+47, Private, 64563, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 7688, 0, 42, United-States, >50K.
+23, Private, 99408, Some-college, 10, Divorced, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+41, Self-emp-not-inc, 219869, Some-college, 10, Widowed, Farming-fishing, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+41, Local-gov, 135056, Masters, 14, Never-married, Prof-specialty, Own-child, White, Female, 8614, 0, 50, United-States, >50K.
+18, Private, 79077, 12th, 8, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 22, United-States, <=50K.
+34, Private, 255830, Assoc-acdm, 12, Divorced, Craft-repair, Unmarried, Black, Female, 7443, 0, 40, United-States, <=50K.
+38, Self-emp-not-inc, 22245, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+34, Private, 150154, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K.
+62, State-gov, 342049, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+66, Self-emp-not-inc, 99927, HS-grad, 9, Widowed, Tech-support, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K.
+18, Private, 191784, HS-grad, 9, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 40, Puerto-Rico, <=50K.
+41, Private, 175883, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+42, Private, 328239, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K.
+45, Private, 107231, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+24, Local-gov, 155818, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K.
+60, Private, 282421, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, ?, <=50K.
+39, Private, 241998, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+44, Federal-gov, 55363, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1887, 40, United-States, >50K.
+29, Private, 137240, Some-college, 10, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+37, Private, 361951, Bachelors, 13, Never-married, Sales, Not-in-family, Black, Male, 0, 0, 48, ?, <=50K.
+21, State-gov, 311311, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 12, United-States, <=50K.
+48, Private, 186299, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+36, Private, 168055, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 5178, 0, 40, United-States, >50K.
+23, Private, 305423, Bachelors, 13, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+49, Private, 393715, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K.
+29, Private, 36440, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+34, Self-emp-not-inc, 106761, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+72, ?, 235014, Assoc-voc, 11, Widowed, ?, Not-in-family, White, Female, 0, 2465, 40, United-States, <=50K.
+29, Local-gov, 249932, 11th, 7, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 40, United-States, <=50K.
+45, Private, 382242, Bachelors, 13, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 30, ?, <=50K.
+29, Private, 213152, 11th, 7, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 52, United-States, <=50K.
+37, State-gov, 26898, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+42, Private, 435356, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 44, United-States, >50K.
+70, ?, 103963, HS-grad, 9, Widowed, ?, Not-in-family, White, Male, 0, 0, 6, United-States, <=50K.
+43, Private, 185860, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+63, Private, 188999, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, <=50K.
+64, Self-emp-not-inc, 108654, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1421, 35, United-States, <=50K.
+38, Private, 54953, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+24, Private, 130620, Some-college, 10, Never-married, Adm-clerical, Other-relative, Asian-Pac-Islander, Female, 0, 0, 40, ?, <=50K.
+29, Private, 273884, HS-grad, 9, Married-spouse-absent, Transport-moving, Own-child, White, Male, 0, 0, 30, United-States, <=50K.
+30, Private, 392518, Assoc-acdm, 12, Married-spouse-absent, Sales, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K.
+66, Self-emp-not-inc, 198766, HS-grad, 9, Widowed, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+25, Private, 66935, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+39, Federal-gov, 135500, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K.
+22, Local-gov, 111697, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 30, United-States, <=50K.
+31, Private, 141288, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+29, Private, 296450, 7th-8th, 4, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+52, Private, 94448, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+51, Self-emp-not-inc, 138200, Assoc-acdm, 12, Never-married, Farming-fishing, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+40, Private, 217826, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, Haiti, <=50K.
+57, ?, 182836, Some-college, 10, Married-civ-spouse, ?, Wife, White, Female, 3103, 0, 40, United-States, >50K.
+64, Self-emp-not-inc, 46366, Some-college, 10, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K.
+31, Private, 168275, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 28, United-States, <=50K.
+74, Local-gov, 214514, 7th-8th, 4, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+43, State-gov, 107439, Some-college, 10, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 30, United-States, <=50K.
+80, Self-emp-inc, 164909, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 54, United-States, >50K.
+28, Federal-gov, 329426, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, >50K.
+77, Local-gov, 181974, 7th-8th, 4, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+68, Private, 176468, HS-grad, 9, Divorced, Priv-house-serv, Unmarried, Black, Female, 0, 0, 24, United-States, <=50K.
+51, State-gov, 187686, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K.
+21, Private, 229769, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, Mexico, <=50K.
+43, Private, 45975, 12th, 8, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, Italy, <=50K.
+42, Private, 187702, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+48, Private, 102585, Masters, 14, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+30, Private, 327112, 11th, 7, Separated, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+34, ?, 167558, 7th-8th, 4, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 40, Mexico, <=50K.
+32, Private, 296538, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 42, United-States, <=50K.
+56, Private, 169560, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+50, Private, 185283, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+40, Private, 224793, HS-grad, 9, Never-married, Transport-moving, Own-child, Black, Male, 0, 1719, 40, United-States, <=50K.
+23, Federal-gov, 478457, 11th, 7, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+54, Private, 104413, Some-college, 10, Separated, Tech-support, Other-relative, Black, Female, 4101, 0, 40, United-States, <=50K.
+28, Self-emp-not-inc, 175710, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 40, ?, <=50K.
+34, Private, 85632, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K.
+48, Private, 102359, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K.
+56, Local-gov, 237546, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 99, United-States, <=50K.
+31, Private, 96245, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 42, United-States, <=50K.
+42, Private, 91453, Bachelors, 13, Divorced, Sales, Unmarried, White, Female, 0, 0, 50, United-States, <=50K.
+36, Private, 131039, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 35, Trinadad&Tobago, <=50K.
+52, Private, 106176, Bachelors, 13, Divorced, Adm-clerical, Unmarried, White, Male, 0, 3770, 40, United-States, <=50K.
+55, Private, 329797, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+25, Private, 153932, 11th, 7, Married-civ-spouse, Craft-repair, Own-child, White, Male, 2580, 0, 30, United-States, <=50K.
+35, State-gov, 52738, HS-grad, 9, Never-married, Other-service, Other-relative, White, Male, 0, 0, 40, United-States, <=50K.
+51, Private, 25932, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 99, United-States, >50K.
+19, Private, 78374, Some-college, 10, Never-married, Adm-clerical, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K.
+59, Private, 653215, 11th, 7, Widowed, Transport-moving, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+19, Private, 318061, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 80, United-States, <=50K.
+46, State-gov, 260782, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+32, ?, 340580, HS-grad, 9, Married-civ-spouse, ?, Husband, Black, Male, 0, 0, 45, United-States, <=50K.
+46, Self-emp-not-inc, 45564, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+26, Private, 209051, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K.
+55, Private, 100821, HS-grad, 9, Married-spouse-absent, Priv-house-serv, Not-in-family, Black, Female, 0, 0, 36, United-States, <=50K.
+28, Private, 86268, HS-grad, 9, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+61, Federal-gov, 95680, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 3103, 0, 40, United-States, >50K.
+35, Private, 327164, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Other-relative, White, Male, 0, 0, 40, United-States, >50K.
+21, ?, 117210, Some-college, 10, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+52, Local-gov, 136175, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 35, United-States, <=50K.
+21, Private, 232591, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 8, United-States, <=50K.
+33, Local-gov, 29144, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+38, Self-emp-inc, 64875, Assoc-voc, 11, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+44, Private, 184011, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 60, United-States, <=50K.
+29, Private, 244246, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 8614, 0, 50, United-States, >50K.
+39, Private, 357173, HS-grad, 9, Separated, Handlers-cleaners, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+32, Private, 203181, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+47, Private, 299508, HS-grad, 9, Divorced, Tech-support, Unmarried, Black, Female, 0, 0, 55, United-States, <=50K.
+28, Private, 198493, Assoc-acdm, 12, Never-married, Adm-clerical, Other-relative, White, Male, 0, 0, 35, United-States, <=50K.
+59, Local-gov, 358747, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, >50K.
+38, Private, 91039, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 5178, 0, 48, United-States, >50K.
+23, Private, 34918, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K.
+44, Private, 97159, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+55, Federal-gov, 212600, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, ?, >50K.
+65, Private, 90113, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K.
+19, Private, 96705, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 14, United-States, <=50K.
+58, Private, 156873, 11th, 7, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 35, United-States, <=50K.
+49, Private, 136358, Masters, 14, Divorced, Sales, Unmarried, Other, Female, 0, 0, 20, Peru, <=50K.
+44, Private, 227065, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 40, ?, >50K.
+44, Local-gov, 193144, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 35, United-States, <=50K.
+33, Private, 317660, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+38, Self-emp-not-inc, 85492, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K.
+37, Local-gov, 203628, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 54, United-States, >50K.
+30, Private, 183801, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+28, Private, 132686, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+27, Private, 50818, Masters, 14, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K.
+49, State-gov, 160812, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K.
+28, Private, 212286, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+61, Local-gov, 77072, 11th, 7, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+41, State-gov, 176155, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+20, State-gov, 219211, Some-college, 10, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 30, United-States, <=50K.
+40, Private, 356934, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+57, Private, 143266, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 60, ?, >50K.
+36, ?, 194809, Bachelors, 13, Never-married, ?, Own-child, White, Female, 0, 0, 50, United-States, <=50K.
+62, Private, 138157, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+31, Private, 437825, 1st-4th, 2, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, Mexico, <=50K.
+31, Private, 165503, 11th, 7, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, ?, <=50K.
+68, Private, 152053, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K.
+18, Private, 211273, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 19, United-States, <=50K.
+30, State-gov, 576645, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+42, ?, 148951, Bachelors, 13, Divorced, ?, Not-in-family, White, Female, 0, 0, 12, Ecuador, <=50K.
+38, Private, 38145, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 44, United-States, <=50K.
+19, Private, 66619, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 37, United-States, <=50K.
+22, Private, 126613, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, France, <=50K.
+46, State-gov, 135854, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+57, Private, 132145, 5th-6th, 3, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+65, ?, 194920, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 10, United-States, <=50K.
+18, Private, 260387, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Cuba, <=50K.
+67, Private, 176388, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K.
+28, Private, 77009, Some-college, 10, Never-married, Sales, Other-relative, White, Female, 0, 0, 40, United-States, <=50K.
+30, Private, 385177, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 24, United-States, >50K.
+20, Private, 510643, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+32, Private, 100135, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K.
+35, Private, 297697, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K.
+38, Private, 179481, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+23, Private, 134045, Assoc-voc, 11, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+64, Self-emp-not-inc, 275034, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 35, United-States, <=50K.
+33, Private, 127651, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 8614, 0, 40, United-States, >50K.
+24, Private, 237262, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K.
+18, ?, 274445, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 1602, 20, United-States, <=50K.
+40, ?, 141583, Bachelors, 13, Never-married, ?, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K.
+27, ?, 294642, HS-grad, 9, Separated, ?, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+51, Self-emp-not-inc, 181179, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 25, United-States, <=50K.
+27, Private, 184493, HS-grad, 9, Separated, Handlers-cleaners, Own-child, White, Female, 0, 1594, 25, United-States, <=50K.
+48, Local-gov, 125892, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+27, Local-gov, 118235, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, Other, Male, 0, 0, 40, United-States, <=50K.
+24, Private, 119329, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K.
+31, Self-emp-not-inc, 189843, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+42, Private, 167357, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 213, 40, United-States, <=50K.
+51, Private, 103803, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 50, United-States, <=50K.
+41, Private, 145175, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 3103, 0, 40, United-States, >50K.
+26, Private, 158846, Bachelors, 13, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 44, United-States, <=50K.
+69, Private, 203313, 7th-8th, 4, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+63, Private, 125954, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 44, United-States, >50K.
+35, Private, 102178, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 48, United-States, >50K.
+35, Private, 139364, Bachelors, 13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+62, Self-emp-not-inc, 265007, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, Ecuador, <=50K.
+26, Private, 61996, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 62, United-States, <=50K.
+63, Private, 209790, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+23, Private, 117779, 12th, 8, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+43, Self-emp-inc, 173326, HS-grad, 9, Never-married, Prof-specialty, Unmarried, White, Female, 0, 0, 35, United-States, <=50K.
+44, Private, 318046, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 35, United-States, >50K.
+56, Local-gov, 204021, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+54, Self-emp-not-inc, 236157, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K.
+32, Private, 42900, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+42, Private, 144002, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+37, Private, 126954, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K.
+24, Private, 228649, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+42, Private, 126094, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+21, Private, 113106, HS-grad, 9, Never-married, Sales, Other-relative, White, Female, 0, 0, 19, United-States, <=50K.
+30, Private, 118941, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+43, Federal-gov, 205675, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 75, United-States, >50K.
+19, Private, 89295, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 35, United-States, <=50K.
+30, Private, 173858, HS-grad, 9, Never-married, Craft-repair, Not-in-family, Asian-Pac-Islander, Male, 2597, 0, 40, ?, <=50K.
+26, Private, 168251, HS-grad, 9, Never-married, Other-service, Own-child, Black, Male, 0, 0, 40, United-States, <=50K.
+38, State-gov, 143059, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K.
+74, ?, 41737, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 2149, 30, United-States, <=50K.
+54, Private, 266598, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+20, Private, 181796, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+22, State-gov, 214731, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K.
+40, Private, 219869, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 99999, 0, 75, United-States, >50K.
+23, Private, 211968, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+22, Private, 38707, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K.
+18, Self-emp-not-inc, 58700, 9th, 5, Never-married, Farming-fishing, Other-relative, Other, Female, 0, 0, 40, Mexico, <=50K.
+24, Private, 160261, Masters, 14, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 20, France, <=50K.
+30, Private, 160594, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+38, Private, 152307, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 41, United-States, >50K.
+27, Private, 100079, HS-grad, 9, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 60, China, <=50K.
+21, Private, 279472, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K.
+43, Private, 149102, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K.
+26, Private, 177625, HS-grad, 9, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+38, Federal-gov, 178678, 10th, 6, Divorced, Adm-clerical, Unmarried, White, Female, 0, 1380, 50, United-States, <=50K.
+58, Self-emp-not-inc, 21383, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+17, Private, 86019, 11th, 7, Never-married, Sales, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K.
+63, Private, 181153, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, ?, >50K.
+36, Federal-gov, 223749, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+21, ?, 33087, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 50, United-States, <=50K.
+21, Private, 253190, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K.
+51, Private, 165278, Assoc-voc, 11, Divorced, Sales, Not-in-family, White, Male, 0, 0, 46, United-States, >50K.
+51, Private, 279452, 5th-6th, 3, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 70, Mexico, <=50K.
+43, Private, 290660, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 30, United-States, <=50K.
+47, Private, 274883, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 65, United-States, >50K.
+68, Self-emp-not-inc, 35468, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 24, United-States, <=50K.
+18, Private, 195318, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 23, United-States, <=50K.
+34, Private, 256362, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, Italy, >50K.
+49, Private, 148169, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 5013, 0, 40, United-States, <=50K.
+65, Self-emp-not-inc, 538099, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 30, United-States, <=50K.
+19, Private, 186682, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K.
+59, Self-emp-not-inc, 156797, HS-grad, 9, Widowed, Exec-managerial, Not-in-family, White, Female, 13550, 0, 60, United-States, >50K.
+29, Private, 162257, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+33, Private, 208881, Assoc-acdm, 12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 7298, 0, 60, United-States, >50K.
+39, Private, 159168, Assoc-voc, 11, Widowed, Exec-managerial, Unmarried, White, Female, 0, 3004, 40, United-States, >50K.
+64, Private, 172740, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 12, United-States, <=50K.
+48, Federal-gov, 186256, HS-grad, 9, Divorced, Farming-fishing, Other-relative, White, Male, 0, 0, 40, United-States, <=50K.
+37, Federal-gov, 110861, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+26, Private, 128699, HS-grad, 9, Married-spouse-absent, Adm-clerical, Unmarried, White, Female, 0, 0, 40, Ecuador, <=50K.
+31, Private, 271933, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+30, Private, 102320, Assoc-voc, 11, Separated, Tech-support, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+54, Self-emp-inc, 117674, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K.
+62, Private, 190273, HS-grad, 9, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+59, Private, 217747, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, >50K.
+44, Private, 99830, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 65, United-States, <=50K.
+40, Private, 343068, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K.
+32, State-gov, 204052, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K.
+28, Private, 267912, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, Mexico, <=50K.
+31, Private, 207537, Some-college, 10, Separated, Sales, Not-in-family, White, Male, 2174, 0, 52, United-States, <=50K.
+38, Private, 256864, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K.
+39, Self-emp-not-inc, 306678, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+47, Private, 101204, Some-college, 10, Married-civ-spouse, Tech-support, Husband, Black, Male, 4064, 0, 40, United-States, <=50K.
+43, Private, 77373, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 47, United-States, >50K.
+27, Private, 371103, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K.
+46, Private, 316271, 5th-6th, 3, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K.
+56, Self-emp-not-inc, 51916, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, >50K.
+34, Private, 159008, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 36, United-States, >50K.
+27, Private, 153475, Assoc-acdm, 12, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K.
+19, Private, 118549, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 15, United-States, <=50K.
+58, Private, 315081, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 42, United-States, >50K.
+20, Private, 122622, Some-college, 10, Never-married, Farming-fishing, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+23, Private, 81786, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+31, Private, 194752, HS-grad, 9, Never-married, Exec-managerial, Unmarried, Black, Female, 0, 0, 45, United-States, <=50K.
+48, Private, 208662, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 0, 37, United-States, <=50K.
+28, Self-emp-inc, 173944, Bachelors, 13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 15024, 0, 65, United-States, >50K.
+34, State-gov, 49325, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+38, Private, 425502, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+25, Local-gov, 55360, HS-grad, 9, Never-married, Craft-repair, Own-child, Black, Male, 0, 0, 40, United-States, <=50K.
+23, Private, 432480, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K.
+48, Private, 155781, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 2231, 30, United-States, >50K.
+37, Local-gov, 216473, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 48, United-States, >50K.
+36, Private, 185366, Some-college, 10, Divorced, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+39, Private, 247515, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 45, Puerto-Rico, <=50K.
+70, Private, 210673, 10th, 6, Widowed, Adm-clerical, Other-relative, White, Male, 0, 0, 20, United-States, <=50K.
+32, Private, 107435, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+26, ?, 217300, Some-college, 10, Never-married, ?, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K.
+20, ?, 39803, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+42, Private, 482211, HS-grad, 9, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K.
+47, Federal-gov, 169549, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 60, ?, >50K.
+23, Private, 353542, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 8, United-States, <=50K.
+40, Private, 114200, HS-grad, 9, Married-spouse-absent, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+33, Self-emp-not-inc, 245173, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+29, Private, 212895, Assoc-acdm, 12, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K.
+49, ?, 95636, 10th, 6, Divorced, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+23, Self-emp-not-inc, 271486, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+37, Private, 258836, Some-college, 10, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+56, Private, 288530, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 37, United-States, >50K.
+64, Private, 47589, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K.
+31, Private, 295099, Some-college, 10, Divorced, Tech-support, Own-child, Black, Female, 0, 0, 40, United-States, <=50K.
+38, Private, 275338, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 45, United-States, <=50K.
+52, Self-emp-not-inc, 168553, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+23, Private, 142766, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 18, United-States, <=50K.
+31, Private, 72887, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 47, United-States, >50K.
+35, Private, 102946, Some-college, 10, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Female, 0, 1669, 45, United-States, <=50K.
+66, Self-emp-not-inc, 244749, 5th-6th, 3, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, Cuba, <=50K.
+36, Private, 166115, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 56, United-States, <=50K.
+26, Private, 213383, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+45, Self-emp-inc, 107231, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K.
+17, ?, 130969, 9th, 5, Never-married, ?, Own-child, Black, Male, 0, 0, 20, United-States, <=50K.
+27, Private, 221977, 1st-4th, 2, Married-spouse-absent, Priv-house-serv, Not-in-family, White, Female, 0, 0, 40, Mexico, <=50K.
+41, Private, 43467, Bachelors, 13, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 99, United-States, <=50K.
+52, Private, 357596, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 48, United-States, >50K.
+48, Private, 146497, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 50, United-States, >50K.
+33, Private, 317809, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+22, Private, 190290, Bachelors, 13, Never-married, Other-service, Own-child, White, Male, 0, 0, 10, United-States, <=50K.
+59, Private, 194573, 12th, 8, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, >50K.
+72, ?, 144461, Assoc-acdm, 12, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 16, United-States, >50K.
+52, Local-gov, 240638, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+18, Private, 52776, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K.
+40, Private, 50524, 12th, 8, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+54, Private, 324023, HS-grad, 9, Never-married, Other-service, Own-child, Black, Female, 0, 0, 40, United-States, <=50K.
+17, Private, 110916, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 10, United-States, <=50K.
+23, Private, 203924, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K.
+53, Private, 214868, Assoc-voc, 11, Never-married, Adm-clerical, Other-relative, Black, Female, 0, 2001, 40, United-States, <=50K.
+27, Private, 275466, 10th, 6, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 40, United-States, <=50K.
+27, Local-gov, 198708, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 37, United-States, <=50K.
+23, Private, 179241, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+32, Private, 154981, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K.
+29, Private, 178811, Assoc-voc, 11, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+26, Private, 130018, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+47, Federal-gov, 87504, Bachelors, 13, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 50, United-States, <=50K.
+29, Private, 377414, Assoc-acdm, 12, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+51, Private, 177927, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K.
+60, Private, 137490, 5th-6th, 3, Separated, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+25, Private, 262617, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 55, United-States, >50K.
+50, Private, 30682, 7th-8th, 4, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+60, Private, 119684, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 3103, 0, 40, United-States, >50K.
+52, Private, 187938, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 0, 0, 49, United-States, <=50K.
+35, Private, 122353, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+31, Private, 75755, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, >50K.
+43, Private, 91316, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 60, United-States, >50K.
+55, Private, 134789, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K.
+22, Private, 115892, 11th, 7, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+36, Private, 104457, Bachelors, 13, Married-spouse-absent, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, ?, <=50K.
+51, Local-gov, 230767, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 38, Cuba, <=50K.
+61, Private, 227332, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+29, Private, 160264, Some-college, 10, Separated, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+47, Self-emp-not-inc, 174533, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+73, Private, 53114, Some-college, 10, Widowed, Sales, Not-in-family, White, Female, 2538, 0, 20, United-States, <=50K.
+20, Private, 163870, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+20, Private, 228709, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+36, Private, 172571, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+28, Private, 335542, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 1628, 50, United-States, <=50K.
+63, Local-gov, 241404, Some-college, 10, Divorced, Protective-serv, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K.
+50, Private, 197189, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+59, ?, 102058, 1st-4th, 2, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 45, Portugal, <=50K.
+41, Self-emp-inc, 104813, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K.
+62, Private, 261437, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+35, Private, 366842, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 80, ?, >50K.
+21, ?, 121468, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+48, Self-emp-inc, 214994, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K.
+67, Private, 229709, HS-grad, 9, Widowed, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+43, Private, 249039, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 36, United-States, >50K.
+49, Private, 142287, Some-college, 10, Divorced, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+54, Private, 259323, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+18, Private, 238281, 11th, 7, Never-married, Sales, Own-child, White, Male, 0, 0, 30, United-States, <=50K.
+60, Private, 156774, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K.
+27, Private, 86153, HS-grad, 9, Never-married, Tech-support, Unmarried, White, Female, 0, 0, 40, Germany, <=50K.
+62, Private, 93997, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 40, United-States, >50K.
+39, Self-emp-inc, 91039, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 45, United-States, >50K.
+52, Private, 224198, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 51, United-States, <=50K.
+54, Private, 221336, HS-grad, 9, Widowed, Other-service, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K.
+28, Private, 128012, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, ?, <=50K.
+53, Local-gov, 231166, HS-grad, 9, Separated, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+28, Private, 79702, Some-college, 10, Never-married, Adm-clerical, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K.
+24, Self-emp-not-inc, 132320, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+37, ?, 33355, Assoc-acdm, 12, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 30, United-States, <=50K.
+55, ?, 177557, HS-grad, 9, Divorced, ?, Other-relative, White, Male, 0, 0, 40, United-States, <=50K.
+47, Private, 148549, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+26, Private, 301563, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+23, Private, 113106, Assoc-acdm, 12, Never-married, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K.
+41, Private, 304175, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K.
+25, State-gov, 230200, Bachelors, 13, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+17, Private, 313444, 12th, 8, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+34, Private, 247328, HS-grad, 9, Never-married, Machine-op-inspct, Other-relative, White, Male, 0, 0, 40, United-States, <=50K.
+34, Private, 132565, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+41, State-gov, 539019, Some-college, 10, Never-married, Farming-fishing, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+24, Private, 114292, Some-college, 10, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+32, Private, 227608, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+21, State-gov, 185554, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 11, United-States, <=50K.
+46, Self-emp-not-inc, 181372, Bachelors, 13, Never-married, Farming-fishing, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+19, Private, 344592, HS-grad, 9, Never-married, Sales, Not-in-family, Black, Female, 0, 0, 35, United-States, <=50K.
+29, Self-emp-not-inc, 102326, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+43, Self-emp-not-inc, 220647, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 2377, 50, United-States, <=50K.
+18, ?, 30246, 11th, 7, Never-married, ?, Own-child, White, Female, 0, 0, 45, United-States, <=50K.
+33, Private, 496743, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 88, United-States, <=50K.
+21, Private, 161508, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+33, State-gov, 30494, HS-grad, 9, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+29, Private, 256764, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 1564, 40, United-States, >50K.
+20, ?, 49819, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+42, ?, 338281, Assoc-voc, 11, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 20, Iran, <=50K.
+21, Local-gov, 256356, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 25, United-States, <=50K.
+25, Private, 318644, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+20, Private, 227594, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+59, Private, 165695, Assoc-acdm, 12, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 32, United-States, >50K.
+55, Private, 127728, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K.
+49, Private, 123681, Assoc-acdm, 12, Separated, Sales, Unmarried, White, Male, 0, 0, 35, United-States, <=50K.
+48, Private, 168038, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 1564, 50, United-States, >50K.
+32, Private, 154950, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1977, 44, United-States, >50K.
+25, Private, 148298, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+41, Private, 63042, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 20, United-States, <=50K.
+57, Local-gov, 101444, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+38, Private, 455379, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K.
+25, Private, 211097, 5th-6th, 3, Divorced, Other-service, Unmarried, Other, Female, 0, 0, 20, Honduras, <=50K.
+61, Local-gov, 153264, HS-grad, 9, Widowed, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+23, ?, 263220, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 15, United-States, <=50K.
+43, Private, 180138, HS-grad, 9, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, >50K.
+22, Private, 208946, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, ?, <=50K.
+33, Private, 321709, Assoc-acdm, 12, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 15, United-States, >50K.
+39, Private, 215981, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K.
+44, State-gov, 26880, Doctorate, 16, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 1092, 40, United-States, <=50K.
+30, Self-emp-not-inc, 90705, 11th, 7, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+37, Private, 185068, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 20, Puerto-Rico, <=50K.
+37, Private, 268390, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, Mexico, <=50K.
+55, Private, 102058, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K.
+51, Self-emp-not-inc, 421132, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+25, Private, 191803, Assoc-acdm, 12, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 13, ?, <=50K.
+60, Private, 181954, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male, 0, 0, 25, Iran, <=50K.
+17, ?, 34505, 11th, 7, Never-married, ?, Own-child, White, Male, 0, 0, 50, United-States, <=50K.
+30, Private, 93973, 11th, 7, Married-civ-spouse, Craft-repair, Husband, Other, Male, 0, 0, 40, Mexico, <=50K.
+63, Private, 355459, 12th, 8, Widowed, Priv-house-serv, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K.
+37, Private, 173586, 7th-8th, 4, Never-married, Other-service, Own-child, Black, Male, 0, 0, 56, United-States, <=50K.
+32, Private, 312055, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+64, Federal-gov, 353479, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male, 0, 0, 45, United-States, >50K.
+21, Private, 321426, Some-college, 10, Never-married, Sales, Unmarried, White, Female, 0, 0, 49, United-States, <=50K.
+53, Private, 228752, HS-grad, 9, Separated, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K.
+46, Private, 281647, Bachelors, 13, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+29, Private, 161615, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+44, Private, 187376, Assoc-acdm, 12, Separated, Adm-clerical, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K.
+47, Private, 234994, 7th-8th, 4, Separated, Craft-repair, Unmarried, White, Male, 0, 0, 40, Puerto-Rico, <=50K.
+58, ?, 169329, 9th, 5, Married-civ-spouse, ?, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+40, Private, 216116, HS-grad, 9, Separated, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, Jamaica, <=50K.
+36, Private, 109204, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+57, Private, 88879, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+39, Self-emp-not-inc, 200863, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, <=50K.
+23, Private, 223811, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K.
+32, Private, 360761, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, >50K.
+33, Private, 166275, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+40, Private, 149102, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+37, Private, 117381, HS-grad, 9, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+46, Private, 306993, 5th-6th, 3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+32, Local-gov, 232475, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+56, Private, 165867, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+46, Private, 268234, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 40, United-States, >50K.
+59, Self-emp-inc, 110457, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+21, Private, 329174, HS-grad, 9, Never-married, Tech-support, Not-in-family, White, Male, 4865, 0, 40, United-States, <=50K.
+37, Private, 109472, 9th, 5, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+18, Private, 418176, Some-college, 10, Never-married, Exec-managerial, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+28, Private, 380390, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+18, ?, 36064, 12th, 8, Never-married, ?, Own-child, White, Male, 0, 0, 20, United-States, <=50K.
+59, Self-emp-inc, 95835, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K.
+25, Local-gov, 250770, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+17, Private, 67603, 9th, 5, Never-married, Other-service, Own-child, White, Female, 0, 0, 10, United-States, <=50K.
+30, State-gov, 352045, Masters, 14, Separated, Craft-repair, Not-in-family, White, Male, 99999, 0, 40, United-States, >50K.
+21, Private, 196742, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 28, United-States, <=50K.
+31, Private, 303942, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+56, Private, 246687, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+64, Self-emp-not-inc, 187793, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+46, Private, 205816, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K.
+60, Private, 182343, 12th, 8, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+59, Private, 42959, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K.
+46, Private, 140644, HS-grad, 9, Married-spouse-absent, Machine-op-inspct, Not-in-family, White, Male, 0, 2258, 50, United-States, <=50K.
+19, Private, 183264, Some-college, 10, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 30, United-States, <=50K.
+49, Private, 294671, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+24, Private, 88926, HS-grad, 9, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+65, Private, 64667, Some-college, 10, Divorced, Other-service, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 15, United-States, <=50K.
+27, Private, 416946, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+52, Private, 208570, Assoc-voc, 11, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+42, Private, 116649, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+78, Local-gov, 87052, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 5, United-States, <=50K.
+46, Self-emp-not-inc, 102869, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K.
+60, Self-emp-inc, 123552, 7th-8th, 4, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, Ireland, <=50K.
+28, Private, 157262, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+17, Private, 146890, 9th, 5, Never-married, Farming-fishing, Own-child, Black, Male, 0, 0, 20, United-States, <=50K.
+57, Private, 257200, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+48, Local-gov, 452402, Doctorate, 16, Never-married, Prof-specialty, Unmarried, Black, Female, 0, 0, 15, United-States, <=50K.
+39, Private, 531055, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+38, Self-emp-inc, 298539, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+20, Private, 95989, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K.
+32, Private, 162572, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 48, United-States, >50K.
+41, Local-gov, 75313, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, ?, >50K.
+66, Private, 117162, 10th, 6, Widowed, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K.
+46, Private, 173461, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, >50K.
+48, Private, 349986, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 50, United-States, >50K.
+24, Private, 204244, 9th, 5, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 37, United-States, <=50K.
+31, Private, 36222, HS-grad, 9, Separated, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K.
+38, Self-emp-inc, 320811, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+57, Private, 82676, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K.
+20, Private, 152189, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+54, Self-emp-inc, 52565, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 70, United-States, <=50K.
+62, ?, 121319, HS-grad, 9, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+25, Private, 144301, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 30, United-States, <=50K.
+21, Private, 162869, Some-college, 10, Never-married, Handlers-cleaners, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+23, Private, 179241, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K.
+34, State-gov, 62327, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+40, Self-emp-not-inc, 121012, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 50, United-States, >50K.
+43, Private, 60001, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+55, ?, 105582, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 35, United-States, <=50K.
+34, Local-gov, 454076, Assoc-voc, 11, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, >50K.
+21, State-gov, 155818, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K.
+40, Private, 434081, HS-grad, 9, Divorced, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+48, Federal-gov, 265386, Assoc-acdm, 12, Separated, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+47, Private, 44671, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 38, United-States, <=50K.
+63, Private, 190296, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1902, 40, United-States, >50K.
+33, Federal-gov, 198827, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+64, ?, 22228, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 10, United-States, >50K.
+28, Private, 109857, Assoc-voc, 11, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+21, Self-emp-not-inc, 190968, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 25, United-States, <=50K.
+51, Private, 75235, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+67, Self-emp-inc, 127605, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 20051, 0, 60, Italy, >50K.
+33, Private, 318982, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 38, United-States, <=50K.
+31, Private, 229636, 1st-4th, 2, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 2042, 40, Mexico, <=50K.
+46, Private, 233802, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, Black, Male, 0, 0, 40, United-States, >50K.
+45, Self-emp-not-inc, 28119, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K.
+66, State-gov, 198363, 7th-8th, 4, Widowed, Other-service, Not-in-family, Black, Female, 2964, 0, 40, United-States, <=50K.
+58, Local-gov, 153914, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K.
+40, Private, 143582, Masters, 14, Widowed, Sales, Own-child, Asian-Pac-Islander, Female, 0, 0, 50, United-States, <=50K.
+71, ?, 78786, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 0, 2149, 24, United-States, <=50K.
+42, State-gov, 126333, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+46, Self-emp-not-inc, 182689, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 3103, 0, 35, United-States, >50K.
+19, Private, 35245, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 25, United-States, <=50K.
+19, Private, 160120, Some-college, 10, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Male, 2597, 0, 40, ?, <=50K.
+37, Self-emp-not-inc, 400287, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1887, 15, United-States, >50K.
+22, Private, 50610, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+64, Private, 349826, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+38, Private, 35890, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+56, Private, 174209, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+47, Private, 63225, 1st-4th, 2, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K.
+35, Private, 164519, HS-grad, 9, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+23, Private, 81145, HS-grad, 9, Never-married, Other-service, Other-relative, White, Female, 0, 0, 40, United-States, <=50K.
+32, Local-gov, 73514, Assoc-voc, 11, Never-married, Protective-serv, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 50, United-States, <=50K.
+49, Local-gov, 452402, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, Black, Female, 7688, 0, 35, United-States, >50K.
+19, ?, 318056, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+27, Private, 285897, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1887, 40, United-States, >50K.
+19, ?, 194404, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 32, United-States, <=50K.
+20, Private, 434710, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K.
+42, Federal-gov, 177142, Bachelors, 13, Never-married, Tech-support, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+35, Federal-gov, 182863, Bachelors, 13, Separated, Tech-support, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+62, Private, 394645, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+46, Private, 110457, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+32, Self-emp-not-inc, 292465, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 35, United-States, >50K.
+35, Private, 238433, Assoc-voc, 11, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+55, Private, 160631, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 4508, 0, 8, Yugoslavia, <=50K.
+29, Private, 285657, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+24, Private, 236907, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 55, United-States, <=50K.
+19, Private, 378418, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 30, United-States, <=50K.
+50, Self-emp-not-inc, 213279, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+38, Private, 105503, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+24, Private, 79160, HS-grad, 9, Never-married, Craft-repair, Own-child, Black, Male, 0, 0, 40, United-States, <=50K.
+62, ?, 139391, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, Ireland, >50K.
+33, Self-emp-not-inc, 190027, Masters, 14, Never-married, Exec-managerial, Not-in-family, Black, Female, 0, 0, 70, United-States, >50K.
+79, Private, 160758, 7th-8th, 4, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 15, United-States, <=50K.
+33, Private, 361280, Doctorate, 16, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Japan, <=50K.
+36, Private, 199288, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 70, United-States, <=50K.
+46, Self-emp-not-inc, 204698, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K.
+17, Private, 213354, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 6, United-States, <=50K.
+22, Private, 282579, HS-grad, 9, Never-married, Other-service, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+39, Private, 99783, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K.
+27, Private, 446947, Bachelors, 13, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 55, United-States, <=50K.
+57, Private, 186202, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+26, Self-emp-inc, 177951, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 32, United-States, <=50K.
+28, Private, 258364, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K.
+46, Local-gov, 200727, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K.
+32, Self-emp-not-inc, 33404, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 10520, 0, 50, United-States, >50K.
+63, Federal-gov, 31115, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 40, United-States, >50K.
+21, Private, 301915, 11th, 7, Separated, Sales, Not-in-family, Other, Female, 0, 0, 30, Mexico, <=50K.
+44, Private, 201908, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 5013, 0, 40, United-States, <=50K.
+40, Private, 168071, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K.
+32, Private, 347623, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+39, Private, 35890, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K.
+31, Private, 154227, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+23, Private, 161532, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+55, Private, 178282, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+31, Private, 263561, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+52, Private, 201783, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 40, United-States, >50K.
+30, Private, 161153, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+28, Private, 193125, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, >50K.
+28, Private, 126060, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 99999, 0, 36, United-States, >50K.
+52, Private, 186826, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 1564, 40, United-States, >50K.
+32, Private, 156192, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K.
+35, Private, 193094, HS-grad, 9, Never-married, Prof-specialty, Unmarried, White, Female, 0, 0, 35, United-States, <=50K.
+26, Private, 472411, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+17, Private, 147069, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 16, United-States, <=50K.
+40, Private, 300195, Some-college, 10, Divorced, Tech-support, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+75, ?, 91417, Assoc-voc, 11, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 20, United-States, <=50K.
+23, Private, 182342, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, Italy, <=50K.
+32, Private, 258406, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, Mexico, <=50K.
+27, Private, 87239, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+25, Private, 294406, Assoc-voc, 11, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K.
+18, ?, 41385, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 4508, 0, 40, United-States, <=50K.
+66, Private, 197414, 7th-8th, 4, Married-spouse-absent, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K.
+47, Private, 323212, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+57, Local-gov, 31532, Assoc-acdm, 12, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 20, United-States, <=50K.
+30, Private, 127610, Bachelors, 13, Never-married, Sales, Own-child, White, Female, 0, 0, 20, Greece, <=50K.
+26, Private, 163189, Some-college, 10, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+33, Private, 594187, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 60, United-States, >50K.
+39, Private, 269323, Assoc-voc, 11, Married-civ-spouse, Other-service, Husband, White, Male, 0, 1485, 38, United-States, >50K.
+33, Private, 96480, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Wife, White, Female, 7688, 0, 40, United-States, >50K.
+58, Private, 200316, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+22, Private, 212780, HS-grad, 9, Never-married, Sales, Not-in-family, Black, Female, 0, 0, 30, United-States, <=50K.
+49, Self-emp-inc, 120121, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+20, Private, 367240, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+24, Private, 117606, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 35, United-States, <=50K.
+33, Private, 122749, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, India, >50K.
+59, Private, 169560, 10th, 6, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+46, Private, 269890, HS-grad, 9, Divorced, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+43, Private, 303426, HS-grad, 9, Divorced, Other-service, Unmarried, Asian-Pac-Islander, Male, 5721, 0, 40, Philippines, <=50K.
+25, Private, 112835, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+17, Private, 226503, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+46, Private, 207733, 1st-4th, 2, Widowed, Other-service, Unmarried, White, Female, 0, 0, 40, Puerto-Rico, <=50K.
+20, Private, 275421, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+37, Local-gov, 165883, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+56, Self-emp-inc, 236676, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K.
+19, ?, 171578, Some-college, 10, Never-married, ?, Own-child, Black, Male, 0, 0, 40, United-States, <=50K.
+30, Private, 685955, Bachelors, 13, Never-married, Sales, Unmarried, Black, Male, 0, 0, 50, United-States, <=50K.
+32, Private, 72887, Some-college, 10, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, >50K.
+34, Private, 135304, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+27, Private, 218781, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+23, Private, 126540, 10th, 6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+33, Private, 261943, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Guatemala, <=50K.
+34, State-gov, 111843, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, Black, Female, 3325, 0, 40, United-States, <=50K.
+71, Self-emp-not-inc, 401203, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 34, United-States, >50K.
+56, Private, 117400, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K.
+61, ?, 113658, 10th, 6, Divorced, ?, Other-relative, White, Female, 0, 0, 20, United-States, <=50K.
+40, Local-gov, 166822, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, Black, Female, 0, 0, 36, United-States, >50K.
+35, Private, 151322, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+21, Private, 102684, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+54, Self-emp-not-inc, 152652, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+24, Private, 193416, Assoc-acdm, 12, Never-married, Other-service, Own-child, White, Female, 0, 0, 3, United-States, <=50K.
+35, Private, 103323, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+37, Self-emp-not-inc, 33975, Bachelors, 13, Separated, Transport-moving, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+20, ?, 163665, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 30, United-States, <=50K.
+59, Private, 187485, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K.
+50, Private, 110327, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K.
+28, Private, 179498, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+37, Local-gov, 197915, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+51, Private, 103995, Doctorate, 16, Widowed, Prof-specialty, Not-in-family, White, Female, 10520, 0, 60, United-States, >50K.
+46, Private, 123807, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 15, United-States, <=50K.
+23, Private, 43535, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K.
+57, Self-emp-not-inc, 200316, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+60, Private, 125832, HS-grad, 9, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 72, Canada, <=50K.
+51, State-gov, 71691, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, United-States, >50K.
+50, Private, 168212, Some-college, 10, Married-spouse-absent, Transport-moving, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+45, Federal-gov, 98320, Some-college, 10, Divorced, Adm-clerical, Unmarried, Asian-Pac-Islander, Female, 914, 0, 40, United-States, <=50K.
+41, Private, 173307, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 43, United-States, <=50K.
+56, Private, 442116, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 54, United-States, >50K.
+18, Private, 130849, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 17, United-States, <=50K.
+51, Private, 159015, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+32, Private, 147921, Prof-school, 15, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K.
+48, Private, 268022, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 55, United-States, >50K.
+51, Private, 253357, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+50, Private, 339954, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+32, State-gov, 347623, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 3411, 0, 40, United-States, <=50K.
+53, Federal-gov, 169112, Prof-school, 15, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, >50K.
+37, Private, 166213, HS-grad, 9, Divorced, Tech-support, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+62, Private, 216765, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, ?, >50K.
+51, Private, 335997, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1902, 40, United-States, >50K.
+18, ?, 354236, 10th, 6, Never-married, ?, Own-child, White, Female, 0, 0, 30, United-States, <=50K.
+70, Private, 178120, HS-grad, 9, Widowed, Priv-house-serv, Other-relative, Black, Female, 0, 0, 8, United-States, <=50K.
+54, Private, 312631, Prof-school, 15, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1887, 50, United-States, >50K.
+67, Local-gov, 31924, Some-college, 10, Widowed, Other-service, Not-in-family, White, Female, 2964, 0, 41, United-States, <=50K.
+34, Federal-gov, 96483, Assoc-acdm, 12, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 60, United-States, >50K.
+26, Private, 305304, 11th, 7, Separated, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, United-States, <=50K.
+52, Local-gov, 111722, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 72, United-States, <=50K.
+24, Private, 197554, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+51, Private, 257126, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+27, Private, 101597, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+23, Private, 220115, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+38, Private, 210844, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 2042, 40, Columbia, <=50K.
+25, Self-emp-inc, 66935, HS-grad, 9, Never-married, Other-service, Other-relative, White, Male, 0, 0, 30, United-States, <=50K.
+81, Private, 192813, 7th-8th, 4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 25, Portugal, <=50K.
+35, Self-emp-not-inc, 95639, 11th, 7, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male, 0, 0, 4, United-States, <=50K.
+40, Self-emp-not-inc, 223881, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K.
+33, Private, 223105, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+33, Private, 192644, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 90, United-States, >50K.
+45, Self-emp-not-inc, 58683, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 5178, 0, 48, United-States, >50K.
+22, Private, 162282, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 55, United-States, <=50K.
+38, State-gov, 239539, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K.
+46, Private, 117849, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 50, United-States, >50K.
+17, Private, 99237, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 30, United-States, <=50K.
+18, ?, 149343, HS-grad, 9, Never-married, ?, Own-child, White, Female, 0, 0, 3, United-States, <=50K.
+42, Self-emp-not-inc, 193882, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K.
+41, Private, 107845, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K.
+58, Private, 268295, 5th-6th, 3, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+43, Private, 71269, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+42, Self-emp-inc, 204598, Assoc-voc, 11, Married-civ-spouse, Other-service, Husband, White, Male, 3464, 0, 80, United-States, <=50K.
+19, ?, 98283, Some-college, 10, Never-married, ?, Own-child, Asian-Pac-Islander, Male, 0, 0, 32, United-States, <=50K.
+45, Self-emp-inc, 188694, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K.
+41, Private, 201908, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 20, United-States, <=50K.
+38, Private, 191137, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 35, United-States, <=50K.
+58, Self-emp-not-inc, 129786, HS-grad, 9, Separated, Farming-fishing, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+37, Private, 302903, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, Asian-Pac-Islander, Female, 0, 0, 40, United-States, >50K.
+34, Private, 143526, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+23, Private, 182117, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+47, Private, 172753, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 85, United-States, >50K.
+37, Private, 139770, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K.
+47, Private, 215686, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 50, United-States, <=50K.
+31, Private, 181388, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1902, 45, United-States, >50K.
+57, Private, 81973, Bachelors, 13, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 15024, 0, 45, United-States, >50K.
+44, Private, 328581, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K.
+64, Private, 110110, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+31, Private, 174201, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+40, Private, 137421, Masters, 14, Married-spouse-absent, Exec-managerial, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 35, India, >50K.
+34, Private, 153927, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+28, Federal-gov, 187649, HS-grad, 9, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+72, Private, 149992, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 35, United-States, <=50K.
+21, Private, 234640, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 47, United-States, <=50K.
+52, Local-gov, 311569, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+44, Private, 182383, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 35, United-States, <=50K.
+57, State-gov, 344381, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 7688, 0, 75, United-States, >50K.
+35, Self-emp-not-inc, 280570, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 35, United-States, <=50K.
+21, Private, 215039, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+38, Local-gov, 339442, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+28, Local-gov, 168065, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+59, Private, 47534, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, >50K.
+54, Local-gov, 116428, 10th, 6, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+25, Private, 121789, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K.
+29, State-gov, 143139, 10th, 6, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+18, Private, 187790, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+31, Private, 140559, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+17, Private, 184025, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 16, United-States, <=50K.
+47, Private, 257824, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K.
+42, Private, 89226, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 7688, 0, 40, Greece, >50K.
+21, Private, 145917, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+32, Private, 207301, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+51, Private, 135388, 12th, 8, Widowed, Machine-op-inspct, Not-in-family, White, Male, 0, 1564, 40, United-States, >50K.
+24, Private, 266467, Assoc-voc, 11, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+60, Private, 200047, Masters, 14, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+29, Federal-gov, 121040, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K.
+24, Private, 199694, Assoc-acdm, 12, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 30, United-States, <=50K.
+43, Private, 301007, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 50, United-States, >50K.
+64, Self-emp-not-inc, 253759, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 1977, 50, United-States, >50K.
+53, Private, 120839, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+64, State-gov, 33342, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+41, Private, 205195, Assoc-acdm, 12, Divorced, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+30, Private, 362873, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, El-Salvador, <=50K.
+25, Private, 104614, HS-grad, 9, Never-married, Protective-serv, Unmarried, White, Female, 0, 0, 25, United-States, <=50K.
+27, Self-emp-not-inc, 32280, HS-grad, 9, Never-married, Farming-fishing, Unmarried, White, Male, 0, 0, 50, United-States, <=50K.
+30, Private, 191777, 12th, 8, Never-married, Other-service, Own-child, Black, Female, 0, 0, 20, ?, <=50K.
+39, Private, 144169, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+28, Private, 264076, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+33, Private, 119164, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+41, Private, 126845, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+24, Private, 228395, Bachelors, 13, Never-married, Sales, Own-child, Black, Female, 0, 0, 40, United-States, <=50K.
+32, Private, 242654, Some-college, 10, Divorced, Sales, Unmarried, Black, Female, 0, 1138, 40, Honduras, <=50K.
+69, Self-emp-not-inc, 30951, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 20, United-States, <=50K.
+36, Private, 48855, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 38, United-States, >50K.
+57, Self-emp-not-inc, 50791, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 20, United-States, <=50K.
+58, Local-gov, 248739, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+26, Private, 165418, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+17, Private, 79464, 11th, 7, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 12, United-States, <=50K.
+36, Local-gov, 321247, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+44, Private, 104269, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, >50K.
+39, Self-emp-inc, 129573, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+41, Private, 222142, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 3464, 0, 40, United-States, <=50K.
+24, Private, 126613, 11th, 7, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K.
+54, Private, 145548, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+26, Private, 331861, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K.
+39, Private, 156261, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 38, United-States, <=50K.
+27, Private, 173944, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+25, Private, 69739, 10th, 6, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, Portugal, <=50K.
+32, Private, 266345, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+30, Private, 278006, HS-grad, 9, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+50, Self-emp-inc, 82578, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+66, Private, 154164, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 7, ?, <=50K.
+25, Private, 250038, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K.
+48, Private, 175468, HS-grad, 9, Married-spouse-absent, Other-service, Unmarried, White, Female, 0, 0, 16, United-States, <=50K.
+23, State-gov, 435835, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 7, United-States, <=50K.
+70, Private, 135601, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 20051, 0, 35, United-States, >50K.
+20, State-gov, 162945, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+18, Private, 244115, 11th, 7, Never-married, Other-service, Own-child, Black, Male, 0, 0, 16, United-States, <=50K.
+29, Private, 351902, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 34, United-States, <=50K.
+33, Private, 291414, 11th, 7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+27, Private, 278736, 12th, 8, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K.
+44, Private, 138975, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+32, Private, 165295, 5th-6th, 3, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, Mexico, <=50K.
+49, Self-emp-inc, 93557, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K.
+66, Self-emp-not-inc, 176315, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 401, 0, 20, United-States, <=50K.
+35, Private, 187167, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+24, Private, 241582, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 33, United-States, <=50K.
+31, Private, 247328, 11th, 7, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+75, Self-emp-not-inc, 157778, Assoc-voc, 11, Divorced, Prof-specialty, Not-in-family, White, Female, 15831, 0, 50, United-States, >50K.
+66, Self-emp-not-inc, 67765, 11th, 7, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 84, United-States, >50K.
+19, ?, 229431, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+46, Private, 192203, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+31, Private, 93326, Some-college, 10, Separated, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+46, Private, 118889, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 68, United-States, >50K.
+29, State-gov, 237028, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+63, Private, 156127, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+46, Private, 151325, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+52, Private, 311350, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+44, Self-emp-not-inc, 273465, Assoc-acdm, 12, Never-married, Sales, Own-child, White, Male, 0, 0, 50, United-States, <=50K.
+66, Private, 172646, 5th-6th, 3, Married-civ-spouse, Transport-moving, Husband, White, Male, 1173, 0, 12, United-States, <=50K.
+51, Private, 379797, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+38, Private, 131827, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 70, United-States, <=50K.
+26, State-gov, 158734, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+35, Private, 233533, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 42, United-States, <=50K.
+48, Private, 246367, Some-college, 10, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K.
+42, Local-gov, 142049, Some-college, 10, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 32, United-States, <=50K.
+50, Private, 101119, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+26, Private, 104830, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 594, 0, 35, United-States, <=50K.
+42, Private, 173981, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, Italy, >50K.
+63, Private, 195338, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 45, United-States, >50K.
+18, Private, 64253, 11th, 7, Never-married, Sales, Own-child, Black, Female, 0, 0, 20, United-States, <=50K.
+56, Private, 182062, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 48, United-States, >50K.
+33, Private, 111696, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+41, ?, 168071, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+42, Private, 314369, HS-grad, 9, Divorced, Craft-repair, Unmarried, Black, Male, 0, 0, 45, United-States, <=50K.
+37, Private, 178877, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+42, Private, 111483, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 48, United-States, >50K.
+18, ?, 192321, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+62, Private, 171757, 7th-8th, 4, Widowed, Transport-moving, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+29, Federal-gov, 157313, Assoc-voc, 11, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+20, Private, 38772, 11th, 7, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+36, Federal-gov, 72338, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, >50K.
+67, Self-emp-not-inc, 132626, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 70, United-States, <=50K.
+50, Private, 176240, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K.
+40, Private, 202692, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 35, United-States, <=50K.
+18, Private, 70021, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 15, United-States, <=50K.
+55, Private, 181242, HS-grad, 9, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K.
+48, Private, 196707, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+80, Local-gov, 81534, 1st-4th, 2, Widowed, Farming-fishing, Not-in-family, Asian-Pac-Islander, Male, 1086, 0, 20, Philippines, <=50K.
+25, Private, 137658, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K.
+24, Private, 253190, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+46, Private, 233059, 9th, 5, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+22, State-gov, 177787, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 45, United-States, <=50K.
+35, Self-emp-not-inc, 193026, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+62, Self-emp-not-inc, 271464, Masters, 14, Separated, Farming-fishing, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K.
+40, Private, 199689, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+27, Federal-gov, 190653, Assoc-voc, 11, Married-civ-spouse, Armed-Forces, Husband, White, Male, 0, 0, 40, ?, >50K.
+40, Private, 359389, Bachelors, 13, Divorced, Other-service, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K.
+49, Self-emp-not-inc, 181717, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 7, United-States, >50K.
+52, Private, 245127, 9th, 5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Outlying-US(Guam-USVI-etc), <=50K.
+21, Private, 274398, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K.
+41, Self-emp-not-inc, 344624, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K.
+35, Private, 169037, HS-grad, 9, Married-civ-spouse, Transport-moving, Wife, White, Female, 0, 0, 48, United-States, <=50K.
+22, Private, 221406, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K.
+71, Private, 211707, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 4, United-States, <=50K.
+73, ?, 185939, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+33, Private, 227026, Bachelors, 13, Never-married, Craft-repair, Unmarried, White, Female, 0, 0, 40, Nicaragua, <=50K.
+38, Private, 187847, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+19, Private, 238144, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K.
+29, Private, 243660, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+26, Private, 102476, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K.
+56, Local-gov, 238405, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+29, Private, 187479, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+40, Private, 168294, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+52, ?, 129893, HS-grad, 9, Married-civ-spouse, ?, Husband, Black, Male, 0, 1579, 30, United-States, <=50K.
+55, Private, 172642, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+19, Private, 208066, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+39, Private, 247558, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 41, United-States, <=50K.
+36, Private, 99233, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1887, 40, United-States, >50K.
+46, Private, 430278, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+33, State-gov, 204374, Masters, 14, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 38, Poland, <=50K.
+30, Private, 136832, 9th, 5, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+54, Federal-gov, 151135, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+17, Private, 95875, 9th, 5, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 12, United-States, <=50K.
+39, Private, 360494, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+21, ?, 187581, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+53, Private, 98659, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 44, United-States, <=50K.
+45, Private, 252242, Doctorate, 16, Divorced, Sales, Not-in-family, White, Male, 99999, 0, 55, United-States, >50K.
+24, Private, 411238, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 40, United-States, <=50K.
+47, Self-emp-not-inc, 199083, Masters, 14, Divorced, Transport-moving, Not-in-family, White, Male, 0, 2258, 50, United-States, >50K.
+38, Private, 222573, HS-grad, 9, Separated, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+44, Private, 245317, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+45, Private, 216414, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 7688, 0, 50, United-States, >50K.
+32, Private, 236396, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+24, Private, 311826, Some-college, 10, Never-married, Sales, Unmarried, White, Female, 0, 0, 18, United-States, <=50K.
+38, Private, 172538, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K.
+38, Private, 43712, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 55, United-States, <=50K.
+33, Private, 272669, Assoc-acdm, 12, Never-married, Adm-clerical, Unmarried, Asian-Pac-Islander, Male, 0, 0, 30, Hong, <=50K.
+50, Private, 137299, Assoc-acdm, 12, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+40, Private, 171305, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 60, United-States, >50K.
+33, Local-gov, 190027, HS-grad, 9, Divorced, Other-service, Own-child, Black, Female, 0, 0, 40, United-States, <=50K.
+20, Private, 376416, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+17, Local-gov, 236831, 12th, 8, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 15, United-States, <=50K.
+27, Private, 170148, Bachelors, 13, Never-married, Tech-support, Own-child, White, Female, 0, 0, 28, United-States, <=50K.
+66, Private, 366425, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+53, Private, 95864, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 50, England, >50K.
+71, Private, 37435, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 3, United-States, <=50K.
+39, Self-emp-not-inc, 151835, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+36, Private, 149419, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K.
+20, ?, 224238, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 6, United-States, <=50K.
+56, Private, 359972, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, England, >50K.
+60, Private, 23063, 7th-8th, 4, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+43, Private, 198282, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+46, Self-emp-inc, 211020, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 60, Germany, >50K.
+42, Private, 104196, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, United-States, <=50K.
+56, Private, 133819, HS-grad, 9, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+31, Private, 328734, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 2238, 40, United-States, <=50K.
+34, Self-emp-not-inc, 41210, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+38, Private, 225399, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+32, ?, 13862, HS-grad, 9, Never-married, ?, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 38, United-States, <=50K.
+32, Local-gov, 43959, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+44, Private, 83827, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K.
+24, Private, 157332, Assoc-voc, 11, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+48, Private, 163706, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 70, United-States, >50K.
+43, Private, 211517, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 1669, 45, United-States, <=50K.
+69, ?, 92852, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 5, United-States, <=50K.
+39, Self-emp-not-inc, 192626, HS-grad, 9, Separated, Farming-fishing, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+55, Private, 115439, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+27, Private, 98769, Assoc-voc, 11, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, >50K.
+29, Private, 66473, Some-college, 10, Never-married, Farming-fishing, Unmarried, White, Male, 0, 0, 50, United-States, <=50K.
+41, Self-emp-not-inc, 138077, Masters, 14, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 10, United-States, >50K.
+30, Local-gov, 339388, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 72, United-States, >50K.
+28, Private, 195520, Assoc-voc, 11, Never-married, Adm-clerical, Other-relative, White, Male, 0, 0, 40, Ireland, <=50K.
+68, Private, 204680, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 37, United-States, <=50K.
+55, Private, 184948, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+37, Private, 356231, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 2129, 65, United-States, <=50K.
+55, Private, 204334, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 55, England, >50K.
+60, Self-emp-inc, 96660, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 8, United-States, >50K.
+44, Private, 184871, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+45, Private, 298950, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+37, Private, 238802, HS-grad, 9, Divorced, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+58, ?, 242670, Some-college, 10, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 20, United-States, <=50K.
+47, Private, 183186, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K.
+18, Private, 34125, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 10, United-States, <=50K.
+23, Private, 158996, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 38, United-States, <=50K.
+35, Local-gov, 203883, Some-college, 10, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+61, Self-emp-inc, 248160, 10th, 6, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 40, United-States, >50K.
+54, Private, 548361, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 98, United-States, <=50K.
+21, Private, 203914, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 19, United-States, <=50K.
+53, State-gov, 91121, Masters, 14, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+46, Self-emp-not-inc, 139397, 10th, 6, Separated, Exec-managerial, Unmarried, White, Female, 0, 0, 15, Ecuador, <=50K.
+56, Private, 208640, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+46, Private, 183013, Bachelors, 13, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+36, Private, 161141, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+54, Private, 343333, Bachelors, 13, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 80, United-States, >50K.
+35, State-gov, 210866, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+26, Private, 359854, Bachelors, 13, Never-married, Priv-house-serv, Other-relative, White, Female, 0, 0, 35, Mexico, <=50K.
+49, Self-emp-inc, 235646, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 47, United-States, <=50K.
+60, Self-emp-not-inc, 157588, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 99, United-States, <=50K.
+55, Private, 200734, HS-grad, 9, Separated, Other-service, Unmarried, Black, Female, 0, 0, 40, ?, <=50K.
+21, Private, 212213, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K.
+38, Private, 248941, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K.
+41, Local-gov, 291831, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, <=50K.
+43, State-gov, 114191, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K.
+54, Self-emp-inc, 151580, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K.
+46, Private, 331498, Doctorate, 16, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, ?, <=50K.
+20, Private, 139989, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Male, 0, 0, 40, United-States, <=50K.
+35, Private, 187167, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K.
+24, Private, 299528, Some-college, 10, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 50, Taiwan, <=50K.
+41, Private, 226608, 1st-4th, 2, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K.
+36, Private, 306361, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K.
+40, Self-emp-not-inc, 213416, 5th-6th, 3, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 10, Mexico, <=50K.
+23, Private, 85139, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+37, Private, 48779, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+71, Self-emp-inc, 146365, Some-college, 10, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K.
+36, Private, 355856, 5th-6th, 3, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, China, <=50K.
+51, Private, 39264, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K.
+30, Private, 117028, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+40, Private, 266631, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, Haiti, <=50K.
+26, Private, 152263, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 45, United-States, <=50K.
+49, Private, 387074, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+30, Private, 245211, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 2002, 43, United-States, <=50K.
+48, Private, 136455, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 0, 0, 16, United-States, <=50K.
+53, State-gov, 153486, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K.
+31, Private, 105479, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K.
+40, Private, 409902, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, Black, Female, 0, 0, 40, United-States, <=50K.
+21, ?, 133515, Assoc-acdm, 12, Never-married, ?, Own-child, White, Female, 594, 0, 40, United-States, <=50K.
+38, Private, 89202, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+37, ?, 185692, 10th, 6, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 84, United-States, <=50K.
+34, Private, 157024, 10th, 6, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 20, United-States, <=50K.
+53, Private, 230936, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K.
+21, Private, 57298, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K.
+26, Private, 82488, Masters, 14, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, >50K.
+29, Private, 606111, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+44, Private, 235182, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K.
+22, Private, 150336, Some-college, 10, Divorced, Tech-support, Other-relative, White, Female, 0, 0, 40, United-States, <=50K.
+43, Federal-gov, 145175, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 42, United-States, >50K.
+39, Private, 186719, Some-college, 10, Separated, Craft-repair, Unmarried, White, Female, 0, 0, 25, United-States, <=50K.
+38, Local-gov, 325538, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+67, Private, 192995, HS-grad, 9, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K.
+31, Private, 103596, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 65, United-States, <=50K.
+30, Private, 207172, 11th, 7, Never-married, Protective-serv, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K.
+53, Self-emp-not-inc, 237729, HS-grad, 9, Married-civ-spouse, Prof-specialty, Wife, White, Female, 3411, 0, 65, United-States, <=50K.
+44, Private, 121718, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 48, United-States, >50K.
+43, Private, 196344, 5th-6th, 3, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Mexico, <=50K.
+22, Private, 100235, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+31, Private, 161153, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+44, Private, 303619, 11th, 7, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+88, Self-emp-not-inc, 141646, 7th-8th, 4, Widowed, Farming-fishing, Not-in-family, White, Male, 0, 0, 5, United-States, <=50K.
+21, Private, 293726, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K.
+31, Private, 190772, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 1590, 35, ?, <=50K.
+35, Local-gov, 91124, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+30, Private, 318912, Bachelors, 13, Never-married, Other-service, Own-child, Black, Male, 0, 0, 55, United-States, <=50K.
+48, Private, 355978, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+68, ?, 81468, HS-grad, 9, Widowed, ?, Unmarried, White, Female, 0, 0, 16, United-States, <=50K.
+64, Private, 183672, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+49, Private, 140826, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 99999, 0, 50, ?, >50K.
+44, Private, 146659, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+18, Private, 294720, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 12, United-States, <=50K.
+34, Private, 284629, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+29, Local-gov, 128091, HS-grad, 9, Never-married, Transport-moving, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+23, Private, 153643, HS-grad, 9, Never-married, Machine-op-inspct, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K.
+36, Self-emp-inc, 173968, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+29, ?, 168479, Bachelors, 13, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+34, Private, 303177, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, Mexico, <=50K.
+27, Self-emp-not-inc, 189030, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+57, Local-gov, 261584, Some-college, 10, Separated, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K.
+24, Private, 131230, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+54, Private, 138852, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+18, Private, 137532, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+25, Private, 67222, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K.
+28, Private, 278736, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K.
+87, Private, 143574, HS-grad, 9, Married-spouse-absent, Sales, Not-in-family, White, Male, 0, 0, 16, United-States, <=50K.
+54, Private, 283725, Masters, 14, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+21, Private, 131404, HS-grad, 9, Never-married, Other-service, Other-relative, White, Male, 0, 0, 25, United-States, <=50K.
+43, Private, 185015, 5th-6th, 3, Married-spouse-absent, Priv-house-serv, Other-relative, White, Female, 0, 0, 40, El-Salvador, <=50K.
+43, Federal-gov, 47902, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 3908, 0, 40, United-States, <=50K.
+38, Private, 272017, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+46, Private, 224559, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 35, United-States, <=50K.
+65, Private, 138247, Some-college, 10, Widowed, Sales, Not-in-family, White, Female, 0, 0, 22, United-States, <=50K.
+39, Private, 365465, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+60, Self-emp-not-inc, 69887, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, >50K.
+30, Private, 203488, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K.
+39, Private, 57691, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 7298, 0, 40, United-States, >50K.
+35, Private, 193815, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 48, United-States, >50K.
+31, Self-emp-not-inc, 37284, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+39, Private, 317434, HS-grad, 9, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+33, Private, 198613, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+27, Private, 126060, Prof-school, 15, Never-married, Prof-specialty, Other-relative, White, Female, 0, 0, 40, United-States, <=50K.
+31, Private, 187560, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+77, ?, 331863, Some-college, 10, Separated, ?, Not-in-family, White, Male, 0, 0, 2, United-States, <=50K.
+40, State-gov, 52498, Assoc-acdm, 12, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+58, Federal-gov, 256466, Masters, 14, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male, 7688, 0, 40, China, >50K.
+37, Local-gov, 215618, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 80, United-States, >50K.
+39, Private, 150057, 10th, 6, Separated, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+30, Private, 213714, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+20, Private, 173095, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 4, United-States, <=50K.
+36, ?, 143774, HS-grad, 9, Divorced, ?, Other-relative, White, Female, 0, 0, 40, United-States, <=50K.
+30, Private, 277488, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+39, Private, 240468, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K.
+43, Private, 197609, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K.
+25, Private, 72294, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+42, Private, 219155, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K.
+38, Private, 130277, Some-college, 10, Divorced, Tech-support, Unmarried, White, Female, 0, 1726, 40, United-States, <=50K.
+67, Private, 100718, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 30, United-States, <=50K.
+57, Private, 151474, HS-grad, 9, Divorced, Handlers-cleaners, Other-relative, White, Female, 0, 0, 40, United-States, <=50K.
+21, Private, 209955, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 20, United-States, <=50K.
+35, Private, 23892, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K.
+40, Private, 206927, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1887, 40, United-States, >50K.
+35, Private, 60135, 10th, 6, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+74, ?, 95630, 9th, 5, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 10, United-States, <=50K.
+19, Private, 229516, 7th-8th, 4, Never-married, Machine-op-inspct, Other-relative, White, Male, 0, 0, 40, United-States, <=50K.
+36, Self-emp-not-inc, 127740, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 99, United-States, <=50K.
+39, State-gov, 252662, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 2824, 50, United-States, >50K.
+17, ?, 171080, 12th, 8, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+47, ?, 118358, HS-grad, 9, Never-married, ?, Other-relative, White, Female, 0, 0, 50, ?, <=50K.
+32, Private, 160594, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 1564, 50, United-States, >50K.
+32, Local-gov, 393376, Bachelors, 13, Never-married, Protective-serv, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K.
+51, Federal-gov, 321494, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+48, ?, 289517, Some-college, 10, Never-married, ?, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K.
+38, Private, 331395, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 38, United-States, <=50K.
+19, ?, 199609, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+52, Private, 178596, Masters, 14, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K.
+21, Private, 198996, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 30, United-States, <=50K.
+33, Private, 222654, HS-grad, 9, Divorced, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K.
+18, Private, 293510, 12th, 8, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 20, United-States, <=50K.
+32, Self-emp-not-inc, 176185, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 7298, 0, 40, Japan, >50K.
+28, Private, 370509, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 44, United-States, >50K.
+45, Private, 167381, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 32, United-States, <=50K.
+21, Private, 300445, HS-grad, 9, Never-married, Other-service, Own-child, Black, Female, 0, 0, 40, United-States, <=50K.
+24, Private, 339602, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+53, Private, 329222, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 1740, 40, Laos, <=50K.
+54, Self-emp-not-inc, 183668, 5th-6th, 3, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 55, United-States, <=50K.
+28, Private, 30014, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+20, ?, 120820, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 30, United-States, <=50K.
+23, Private, 33021, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+33, State-gov, 295662, Bachelors, 13, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+45, Private, 183168, Some-college, 10, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+47, Self-emp-not-inc, 148738, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 72, United-States, >50K.
+35, Private, 214738, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, <=50K.
+20, Private, 196758, Assoc-acdm, 12, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+35, Federal-gov, 105527, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+50, Private, 221495, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+40, Private, 211938, 10th, 6, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+50, Private, 209320, 10th, 6, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 32, United-States, <=50K.
+33, Private, 298785, 9th, 5, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+37, Private, 459192, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 44, United-States, <=50K.
+37, Private, 342642, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+25, Self-emp-not-inc, 46015, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+17, Private, 219199, 10th, 6, Never-married, Other-service, Own-child, Black, Male, 0, 0, 15, United-States, <=50K.
+49, Self-emp-not-inc, 285858, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+66, Private, 592029, HS-grad, 9, Widowed, Sales, Not-in-family, Black, Female, 0, 0, 24, United-States, <=50K.
+24, Private, 132247, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 24, United-States, <=50K.
+50, Private, 330543, Preschool, 1, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Mexico, <=50K.
+56, Private, 176613, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K.
+68, Private, 174895, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+65, Private, 200408, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+67, Private, 219687, Some-college, 10, Widowed, Sales, Not-in-family, White, Male, 0, 0, 18, United-States, <=50K.
+17, Private, 174466, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 18, United-States, <=50K.
+27, Private, 339921, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 38, Mexico, <=50K.
+47, Local-gov, 330080, 11th, 7, Married-spouse-absent, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+40, Private, 151504, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+39, State-gov, 275300, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Mexico, <=50K.
+36, Private, 178322, HS-grad, 9, Divorced, Transport-moving, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+49, State-gov, 209482, HS-grad, 9, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+59, Private, 157831, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 16, United-States, <=50K.
+46, Private, 224314, Bachelors, 13, Widowed, Exec-managerial, Unmarried, White, Female, 0, 0, 20, United-States, <=50K.
+71, ?, 144461, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 3456, 0, 16, United-States, <=50K.
+42, Self-emp-not-inc, 114580, Masters, 14, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 70, United-States, <=50K.
+46, Self-emp-inc, 321764, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K.
+41, Private, 197907, HS-grad, 9, Never-married, Tech-support, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K.
+20, State-gov, 199884, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 10, United-States, <=50K.
+30, Private, 332975, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 55, United-States, <=50K.
+29, Private, 37599, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 36, United-States, <=50K.
+28, Private, 52199, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+61, Self-emp-not-inc, 45795, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 36, United-States, <=50K.
+30, Private, 154120, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 60, United-States, >50K.
+27, Private, 217530, Some-college, 10, Never-married, Tech-support, Own-child, White, Male, 0, 0, 40, El-Salvador, <=50K.
+58, Self-emp-not-inc, 426263, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 32, United-States, <=50K.
+37, Private, 406664, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, Mexico, <=50K.
+24, Private, 269799, Assoc-voc, 11, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+48, Private, 127738, 9th, 5, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+24, Private, 330724, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 16, ?, <=50K.
+47, Private, 138999, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 4386, 0, 48, United-States, >50K.
+33, Private, 152744, Some-college, 10, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K.
+26, Private, 155459, Bachelors, 13, Never-married, Protective-serv, Other-relative, White, Male, 0, 0, 45, United-States, <=50K.
+43, Private, 222596, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K.
+29, Private, 209173, Assoc-acdm, 12, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+33, Private, 513977, Some-college, 10, Married-civ-spouse, Tech-support, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+45, Private, 186410, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K.
+44, Private, 230684, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+44, Private, 136986, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+34, State-gov, 647591, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K.
+25, Private, 264300, Assoc-voc, 11, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 36, United-States, <=50K.
+59, Private, 95967, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, ?, <=50K.
+33, Private, 187802, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 1887, 40, United-States, >50K.
+45, Self-emp-inc, 270079, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+58, Private, 141379, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 42, United-States, <=50K.
+18, Private, 176653, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 26, United-States, <=50K.
+35, Private, 176900, Assoc-voc, 11, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+55, Private, 200217, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+43, Private, 188331, 11th, 7, Separated, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+36, Private, 158363, 12th, 8, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+42, Self-emp-not-inc, 247422, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K.
+45, Private, 247120, HS-grad, 9, Married-civ-spouse, Transport-moving, Other-relative, White, Female, 0, 0, 50, ?, <=50K.
+20, Local-gov, 37932, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+27, Self-emp-not-inc, 32280, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+23, Private, 197286, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 8, United-States, <=50K.
+55, Private, 228595, 5th-6th, 3, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+51, Private, 81534, 11th, 7, Never-married, Other-service, Other-relative, Asian-Pac-Islander, Male, 0, 0, 35, United-States, <=50K.
+17, Private, 165457, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 16, United-States, <=50K.
+28, Private, 209109, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 50, United-States, <=50K.
+31, Private, 141817, Bachelors, 13, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, ?, <=50K.
+66, ?, 249043, 11th, 7, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, >50K.
+61, Self-emp-not-inc, 185640, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 30, United-States, >50K.
+19, Private, 400195, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K.
+28, Private, 267912, Some-college, 10, Separated, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+39, Private, 370032, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+34, Private, 191957, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, >50K.
+53, Private, 361405, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+54, Private, 103580, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+44, Private, 116632, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 35, United-States, >50K.
+34, Private, 185480, Assoc-acdm, 12, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+41, Private, 94113, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 99999, 0, 60, United-States, >50K.
+26, Self-emp-not-inc, 75654, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, Greece, <=50K.
+38, Private, 104727, Masters, 14, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+28, Private, 302406, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+63, Private, 116993, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K.
+51, Private, 274528, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+53, Federal-gov, 218382, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 40, United-States, >50K.
+35, Federal-gov, 170425, Assoc-acdm, 12, Divorced, Prof-specialty, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+49, Self-emp-inc, 148437, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K.
+43, Private, 24264, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+50, State-gov, 78923, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1485, 40, United-States, >50K.
+49, Self-emp-inc, 106169, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+43, Local-gov, 211860, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+49, Private, 250821, Prof-school, 15, Never-married, Farming-fishing, Other-relative, White, Male, 0, 0, 48, United-States, <=50K.
+29, Private, 202558, Assoc-voc, 11, Married-civ-spouse, Tech-support, Other-relative, White, Female, 0, 0, 40, United-States, <=50K.
+30, Private, 96480, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 32, United-States, <=50K.
+32, Private, 215912, HS-grad, 9, Married-civ-spouse, Other-service, Wife, Black, Female, 0, 0, 40, United-States, <=50K.
+51, Self-emp-inc, 182211, Some-college, 10, Divorced, Sales, Own-child, White, Female, 0, 0, 70, United-States, <=50K.
+33, Federal-gov, 206392, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+38, Private, 150057, Bachelors, 13, Divorced, Sales, Own-child, White, Male, 0, 0, 50, United-States, <=50K.
+38, Self-emp-inc, 105044, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+45, Private, 168195, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 42, United-States, <=50K.
+18, Federal-gov, 54377, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 50, United-States, <=50K.
+69, Self-emp-not-inc, 118174, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 20051, 0, 15, United-States, >50K.
+54, Private, 229375, Some-college, 10, Widowed, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+44, Federal-gov, 109414, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 1977, 40, Philippines, >50K.
+40, Private, 158275, HS-grad, 9, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 625, 40, United-States, <=50K.
+40, Private, 32185, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 44, United-States, <=50K.
+20, Private, 228452, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+36, Private, 170174, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 15024, 0, 56, United-States, >50K.
+39, Private, 162370, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+18, Private, 260253, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+42, Private, 252392, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+27, Private, 99897, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+22, ?, 52596, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 15, ?, >50K.
+38, Private, 48093, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+24, Private, 275244, Some-college, 10, Never-married, Exec-managerial, Not-in-family, Black, Male, 0, 0, 35, United-States, <=50K.
+41, Private, 173316, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+20, Private, 162164, Some-college, 10, Never-married, Priv-house-serv, Own-child, White, Female, 0, 0, 45, United-States, <=50K.
+62, Private, 166425, 11th, 7, Divorced, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K.
+31, Private, 203463, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 99999, 0, 40, United-States, >50K.
+35, Private, 77792, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K.
+58, Self-emp-inc, 120384, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+20, Private, 257470, Some-college, 10, Never-married, Sales, Own-child, Black, Female, 0, 0, 20, United-States, <=50K.
+38, Private, 171482, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1672, 50, United-States, <=50K.
+29, Private, 162298, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K.
+21, Private, 170273, Some-college, 10, Never-married, Prof-specialty, Own-child, Black, Female, 0, 0, 40, United-States, <=50K.
+27, Private, 384774, 7th-8th, 4, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K.
+48, State-gov, 120131, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+34, Private, 159442, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 37, Ireland, >50K.
+33, Private, 303942, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+29, Private, 33436, HS-grad, 9, Never-married, Sales, Unmarried, White, Female, 0, 0, 42, United-States, <=50K.
+45, Private, 193407, Assoc-voc, 11, Divorced, Sales, Not-in-family, White, Female, 0, 0, 44, United-States, <=50K.
+22, Private, 51985, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 1055, 0, 15, United-States, <=50K.
+31, Local-gov, 127651, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+25, Private, 152246, Some-college, 10, Never-married, Handlers-cleaners, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, Outlying-US(Guam-USVI-etc), <=50K.
+59, Private, 124137, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 2202, 0, 40, United-States, <=50K.
+18, ?, 209735, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 30, United-States, <=50K.
+18, Private, 241552, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 1719, 20, United-States, <=50K.
+42, Private, 174295, 7th-8th, 4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 99, United-States, <=50K.
+42, Self-emp-not-inc, 165815, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 52, United-States, >50K.
+26, Local-gov, 566066, Bachelors, 13, Never-married, Protective-serv, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+18, ?, 269373, 12th, 8, Never-married, ?, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+20, Private, 143604, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+18, Local-gov, 294605, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 12, United-States, <=50K.
+44, Private, 122381, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+76, Local-gov, 104443, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 1668, 40, United-States, <=50K.
+34, Private, 208116, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 25, United-States, <=50K.
+60, Self-emp-inc, 328011, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 20, United-States, <=50K.
+19, Private, 375079, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 35, United-States, <=50K.
+35, Private, 210945, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 7298, 0, 38, United-States, >50K.
+26, Private, 169100, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+41, Private, 30126, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, >50K.
+29, Private, 165737, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 1, Japan, <=50K.
+24, Private, 200295, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K.
+39, Private, 553588, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1848, 40, United-States, >50K.
+58, Local-gov, 164970, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+40, Private, 199031, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K.
+29, Private, 187750, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K.
+44, Self-emp-not-inc, 89413, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+27, Private, 188171, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+52, Self-emp-inc, 392502, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+40, Federal-gov, 73883, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+59, Self-emp-inc, 76860, 5th-6th, 3, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 99999, 0, 40, China, >50K.
+19, Private, 376683, HS-grad, 9, Never-married, Sales, Own-child, Black, Female, 0, 0, 35, United-States, <=50K.
+23, Private, 189013, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 37, United-States, <=50K.
+32, Private, 190385, Assoc-voc, 11, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 35, United-States, <=50K.
+34, Private, 154874, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+62, Private, 175032, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 42, United-States, <=50K.
+68, Self-emp-not-inc, 338432, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+64, Private, 30725, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+33, Local-gov, 319280, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+64, Private, 280957, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 20, United-States, <=50K.
+42, Private, 256813, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, >50K.
+60, Private, 276213, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+35, Private, 161496, Some-college, 10, Divorced, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+33, Private, 399531, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+74, Self-emp-not-inc, 168951, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 14, United-States, <=50K.
+38, Self-emp-not-inc, 108140, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 30, United-States, <=50K.
+43, Private, 358677, Assoc-voc, 11, Divorced, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+36, Local-gov, 127424, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 50, ?, >50K.
+45, Self-emp-not-inc, 163559, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, Asian-Pac-Islander, Female, 0, 0, 48, ?, <=50K.
+45, Self-emp-not-inc, 390746, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+28, Private, 187981, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+48, Private, 187715, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1848, 46, United-States, >50K.
+25, Private, 192449, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+42, State-gov, 381581, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+22, State-gov, 211049, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 12, United-States, <=50K.
+43, Private, 214242, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Poland, <=50K.
+35, Private, 190759, 11th, 7, Separated, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+42, Self-emp-not-inc, 209301, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+56, Self-emp-not-inc, 118614, Masters, 14, Separated, Sales, Unmarried, White, Female, 0, 0, 36, United-States, <=50K.
+22, Private, 124971, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K.
+29, Private, 198704, Assoc-voc, 11, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+38, Local-gov, 32587, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male, 0, 0, 50, United-States, >50K.
+51, Local-gov, 227261, Some-college, 10, Divorced, Protective-serv, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+35, Private, 250988, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K.
+42, State-gov, 147206, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+21, Private, 25265, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 18, United-States, <=50K.
+54, Local-gov, 188446, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+19, Private, 206017, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 15, United-States, <=50K.
+36, Local-gov, 287821, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K.
+62, Federal-gov, 223163, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K.
+52, Private, 38973, 10th, 6, Widowed, Sales, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+45, Private, 370274, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+64, Private, 271559, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 30, Columbia, <=50K.
+66, Private, 171331, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, >50K.
+53, Private, 201127, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+36, Private, 64874, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K.
+37, Private, 202683, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K.
+17, Self-emp-not-inc, 103851, 11th, 7, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 4, United-States, <=50K.
+34, Private, 196266, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K.
+28, Private, 303601, 12th, 8, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+23, Private, 43150, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+18, ?, 193889, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 20, ?, <=50K.
+28, Private, 177036, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K.
+32, Self-emp-not-inc, 135304, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 3942, 0, 32, United-States, <=50K.
+17, Private, 25982, 12th, 8, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K.
+51, State-gov, 103063, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 7298, 0, 40, United-States, >50K.
+41, Private, 328239, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+58, Private, 142724, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 43, United-States, <=50K.
+31, Private, 198452, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 18, United-States, <=50K.
+28, Private, 285897, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+21, Private, 34568, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 50, United-States, <=50K.
+44, Self-emp-not-inc, 136986, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 50, United-States, >50K.
+31, Self-emp-not-inc, 404062, 10th, 6, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 55, Portugal, >50K.
+39, Private, 80479, Bachelors, 13, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K.
+30, Private, 433325, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Mexico, <=50K.
+56, Self-emp-not-inc, 368797, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K.
+41, Private, 157473, Masters, 14, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 50, United-States, >50K.
+24, Private, 193130, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+33, Private, 91667, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 44, United-States, <=50K.
+36, Private, 153078, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 15024, 0, 40, Hong, >50K.
+31, Private, 179673, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K.
+39, Private, 236648, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 1848, 42, United-States, >50K.
+41, Private, 77357, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+19, Private, 267796, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 30, United-States, <=50K.
+57, Private, 335276, Assoc-acdm, 12, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K.
+35, Private, 189102, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K.
+34, Self-emp-not-inc, 203051, HS-grad, 9, Married-spouse-absent, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, >50K.
+38, Private, 167440, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+21, Private, 186087, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K.
+25, Private, 334267, HS-grad, 9, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 45, United-States, <=50K.
+49, Private, 172246, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+34, Local-gov, 117963, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K.
+22, ?, 374116, HS-grad, 9, Never-married, ?, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K.
+60, Private, 304074, Some-college, 10, Widowed, Transport-moving, Not-in-family, White, Male, 0, 0, 28, United-States, <=50K.
+35, Private, 212195, HS-grad, 9, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 35, United-States, >50K.
+42, Self-emp-not-inc, 52781, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+61, Local-gov, 176671, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 30, United-States, <=50K.
+24, Private, 175778, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+26, Private, 340126, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 50, United-States, <=50K.
+64, Private, 237581, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 48, Mexico, >50K.
+47, Local-gov, 246891, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Male, 0, 0, 45, United-States, >50K.
+23, Private, 181659, 11th, 7, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 60, United-States, <=50K.
+34, Private, 209900, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 15, United-States, <=50K.
+47, Private, 151826, 10th, 6, Divorced, Tech-support, Unmarried, Black, Female, 0, 0, 38, United-States, <=50K.
+43, Self-emp-inc, 210013, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, >50K.
+47, Self-emp-inc, 120131, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+57, Private, 366421, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, Mexico, <=50K.
+19, Private, 137578, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 10, United-States, <=50K.
+36, Private, 89625, 10th, 6, Separated, Sales, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K.
+72, Self-emp-not-inc, 298945, Bachelors, 13, Widowed, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, >50K.
+34, Local-gov, 108247, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K.
+31, Private, 103642, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, >50K.
+25, ?, 181528, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 25, United-States, <=50K.
+23, Private, 131699, Some-college, 10, Never-married, Sales, Own-child, Black, Female, 0, 0, 14, United-States, <=50K.
+18, Private, 154089, 11th, 7, Never-married, Sales, Unmarried, White, Male, 0, 0, 20, United-States, <=50K.
+41, Private, 247081, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K.
+45, Private, 276839, Some-college, 10, Married-spouse-absent, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+37, Private, 166115, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K.
+27, Private, 192936, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K.
+50, Private, 247425, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K.
+41, Self-emp-not-inc, 198196, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 50, United-States, >50K.
+20, Private, 260254, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+60, Private, 176360, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K.
+21, ?, 214731, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+23, Private, 107564, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K.
+32, Private, 29312, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+62, Private, 190610, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+40, Private, 296858, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 5178, 0, 40, United-States, >50K.
+42, Private, 294431, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K.
+34, Private, 259818, HS-grad, 9, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+37, Local-gov, 161111, HS-grad, 9, Married-spouse-absent, Other-service, Unmarried, White, Female, 0, 0, 10, United-States, <=50K.
+42, ?, 85995, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 52, United-States, <=50K.
+18, Private, 108501, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 25, United-States, <=50K.
+27, Private, 135296, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+27, Federal-gov, 491607, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 32, United-States, <=50K.
+61, Self-emp-not-inc, 170278, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 30, Philippines, <=50K.
+41, Private, 309932, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+46, Local-gov, 117310, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 21, United-States, >50K.
+46, Private, 234289, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+45, Federal-gov, 199925, Assoc-voc, 11, Never-married, Adm-clerical, Unmarried, White, Male, 0, 0, 48, United-States, <=50K.
+70, Local-gov, 31540, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K.
+46, Private, 202606, HS-grad, 9, Separated, Other-service, Not-in-family, Black, Female, 0, 0, 30, Haiti, <=50K.
+20, Private, 239577, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+36, Private, 110013, Masters, 14, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+38, Local-gov, 230054, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+27, Private, 203558, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K.
+51, Self-emp-not-inc, 222883, Bachelors, 13, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 55, United-States, <=50K.
+39, Private, 61518, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+45, Private, 246891, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 40, United-States, >50K.
+51, Private, 194995, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+52, Private, 207025, HS-grad, 9, Divorced, Priv-house-serv, Unmarried, Black, Female, 0, 0, 24, United-States, <=50K.
+39, Self-emp-inc, 128715, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K.
+30, Private, 180168, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K.
+44, Self-emp-not-inc, 270495, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 50, United-States, <=50K.
+44, Private, 191196, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, >50K.
+28, State-gov, 624572, HS-grad, 9, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K.
+43, Private, 488706, 1st-4th, 2, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 45, Mexico, <=50K.
+43, Self-emp-not-inc, 52131, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 50, United-States, >50K.
+38, Private, 134635, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+41, Private, 197033, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 35, United-States, <=50K.
+36, Private, 112576, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+32, Private, 134737, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 42, United-States, <=50K.
+45, Private, 154237, HS-grad, 9, Divorced, Handlers-cleaners, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+30, Private, 103200, Masters, 14, Married-spouse-absent, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, Taiwan, <=50K.
+25, Private, 179599, 9th, 5, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K.
+57, ?, 274900, 7th-8th, 4, Married-civ-spouse, ?, Other-relative, White, Male, 0, 0, 45, Dominican-Republic, <=50K.
+21, Private, 138580, 12th, 8, Never-married, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K.
+43, Local-gov, 187034, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+19, Private, 263568, 10th, 6, Never-married, Handlers-cleaners, Own-child, White, Male, 594, 0, 35, United-States, <=50K.
+21, Private, 142332, 12th, 8, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 25, United-States, <=50K.
+40, Private, 174090, Assoc-voc, 11, Never-married, Sales, Unmarried, White, Female, 4687, 0, 50, United-States, >50K.
+38, Federal-gov, 103323, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 55, United-States, >50K.
+24, Private, 108670, Assoc-voc, 11, Never-married, Other-service, Unmarried, White, Female, 0, 0, 32, United-States, <=50K.
+18, ?, 326640, HS-grad, 9, Never-married, ?, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+54, Private, 99185, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+29, Private, 365328, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+19, Federal-gov, 53220, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Female, 0, 1602, 20, United-States, <=50K.
+22, Private, 369084, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+48, Federal-gov, 55377, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 55, Jamaica, >50K.
+64, Private, 271094, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K.
+27, Private, 165014, Some-college, 10, Married-civ-spouse, Sales, Own-child, Other, Female, 0, 0, 11, Mexico, <=50K.
+40, Local-gov, 284086, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 40, United-States, >50K.
+47, Federal-gov, 186256, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 40, United-States, >50K.
+19, Private, 84250, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 22, United-States, <=50K.
+39, Private, 189404, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K.
+34, Private, 152667, 12th, 8, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K.
+36, Private, 239755, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+44, Private, 271756, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, >50K.
+23, Private, 332657, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K.
+36, Private, 141029, HS-grad, 9, Separated, Craft-repair, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+27, Private, 41281, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K.
+41, Federal-gov, 27444, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+20, Private, 267945, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 15, United-States, <=50K.
+30, Private, 177675, HS-grad, 9, Never-married, Machine-op-inspct, Other-relative, White, Male, 0, 0, 40, United-States, <=50K.
+20, Private, 135716, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 44, United-States, <=50K.
+40, Private, 91355, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K.
+47, Self-emp-not-inc, 53292, Assoc-acdm, 12, Widowed, Prof-specialty, Unmarried, White, Female, 0, 0, 35, United-States, <=50K.
+51, Private, 256466, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 50, Philippines, <=50K.
+40, Private, 126701, Assoc-voc, 11, Divorced, Sales, Not-in-family, White, Male, 13550, 0, 50, United-States, >50K.
+25, Private, 64671, 1st-4th, 2, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K.
+50, Without-pay, 123004, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Own-child, White, Female, 0, 1887, 40, United-States, >50K.
+26, Private, 167350, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+62, State-gov, 160062, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 44, United-States, <=50K.
+34, Private, 35683, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+28, Private, 146565, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K.
+37, Self-emp-not-inc, 168166, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+34, Private, 117779, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 2977, 0, 65, United-States, <=50K.
+58, Local-gov, 310085, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, >50K.
+26, Private, 262413, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 40, Italy, <=50K.
+56, Private, 152874, Bachelors, 13, Divorced, Prof-specialty, Unmarried, Black, Female, 0, 1741, 40, United-States, <=50K.
+29, Private, 35314, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 20, United-States, <=50K.
+37, Private, 32719, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 50, United-States, >50K.
+37, Private, 224566, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+20, Private, 190290, Some-college, 10, Never-married, Transport-moving, Own-child, White, Male, 0, 1602, 40, United-States, <=50K.
+26, Private, 331806, HS-grad, 9, Never-married, Transport-moving, Not-in-family, Black, Male, 0, 0, 37, United-States, <=50K.
+45, Self-emp-inc, 328610, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K.
+20, Private, 221533, 11th, 7, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+35, Private, 350169, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 38, Japan, <=50K.
+29, Private, 125131, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, United-States, >50K.
+71, ?, 158437, 5th-6th, 3, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, Hungary, <=50K.
+37, Private, 180714, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Male, 0, 0, 48, United-States, <=50K.
+40, Private, 284086, 9th, 5, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K.
+33, Private, 119422, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+22, ?, 327060, HS-grad, 9, Never-married, ?, Unmarried, Black, Male, 0, 0, 8, United-States, <=50K.
+32, Private, 171813, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+39, Local-gov, 20308, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+17, ?, 45037, 10th, 6, Never-married, ?, Own-child, White, Female, 0, 0, 25, United-States, <=50K.
+53, Private, 139157, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+33, Private, 228931, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 40, United-States, >50K.
+60, Private, 220729, 7th-8th, 4, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+43, Self-emp-not-inc, 147230, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+29, Private, 79586, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male, 0, 0, 65, United-States, <=50K.
+40, Self-emp-inc, 279914, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2415, 40, United-States, >50K.
+62, Private, 142769, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+30, Private, 226525, 10th, 6, Divorced, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+18, Private, 178759, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 15, United-States, <=50K.
+49, Private, 106705, Some-college, 10, Separated, Sales, Unmarried, White, Female, 0, 0, 36, United-States, <=50K.
+57, Private, 194161, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 42, Italy, >50K.
+37, Private, 225385, HS-grad, 9, Divorced, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+66, Self-emp-not-inc, 331960, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 20, United-States, <=50K.
+50, Private, 156877, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 35, United-States, <=50K.
+24, Private, 271354, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+31, Private, 33117, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K.
+38, Private, 212437, Assoc-acdm, 12, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K.
+37, Private, 121228, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Male, 0, 1726, 50, United-States, <=50K.
+62, Self-emp-not-inc, 142139, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 30, United-States, <=50K.
+54, Private, 165001, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 48, United-States, >50K.
+56, Local-gov, 294623, 5th-6th, 3, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+24, Local-gov, 244413, HS-grad, 9, Never-married, Adm-clerical, Own-child, Black, Male, 0, 0, 35, Dominican-Republic, <=50K.
+29, Private, 146014, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+53, Self-emp-not-inc, 197014, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K.
+56, Self-emp-not-inc, 169528, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+60, ?, 162397, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 2, United-States, <=50K.
+38, Self-emp-not-inc, 154641, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+52, Private, 251585, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 55, United-States, <=50K.
+28, Private, 46322, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 38, United-States, <=50K.
+46, Local-gov, 197042, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 50, United-States, <=50K.
+43, Private, 111829, Assoc-voc, 11, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+24, Local-gov, 229005, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K.
+64, Private, 298546, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 70, United-States, <=50K.
+43, Federal-gov, 111483, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 3103, 0, 40, United-States, >50K.
+64, Private, 104973, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, >50K.
+40, Private, 383300, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+38, Private, 135162, 1st-4th, 2, Married-spouse-absent, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, ?, <=50K.
+36, Private, 87520, HS-grad, 9, Married-civ-spouse, Other-service, Other-relative, White, Female, 0, 0, 40, United-States, <=50K.
+19, Private, 183258, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+19, Private, 206546, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 24, United-States, <=50K.
+55, Private, 199212, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 5178, 0, 40, United-States, >50K.
+41, Local-gov, 207685, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 61, United-States, >50K.
+36, Private, 213277, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+23, Private, 129980, Some-college, 10, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, United-States, <=50K.
+28, Private, 118089, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 4386, 0, 45, United-States, >50K.
+34, Self-emp-not-inc, 236391, 11th, 7, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 30, United-States, <=50K.
+49, Private, 209057, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K.
+47, Private, 98044, Preschool, 1, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 25, El-Salvador, <=50K.
+21, Private, 154192, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+36, Private, 48268, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+17, Private, 158762, 10th, 6, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 16, United-States, <=50K.
+22, Private, 87569, Assoc-voc, 11, Never-married, Other-service, Not-in-family, White, Female, 0, 1762, 40, United-States, <=50K.
+33, ?, 274800, HS-grad, 9, Separated, ?, Own-child, Black, Female, 0, 0, 40, United-States, <=50K.
+42, Local-gov, 230684, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1579, 40, United-States, <=50K.
+52, Private, 155496, HS-grad, 9, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K.
+37, Private, 22494, Some-college, 10, Married-spouse-absent, Exec-managerial, Unmarried, White, Female, 0, 0, 41, United-States, <=50K.
+42, Private, 200610, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1740, 60, United-States, <=50K.
+48, State-gov, 54985, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+46, Private, 207807, 10th, 6, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female, 0, 0, 30, United-States, <=50K.
+18, Private, 294263, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 9, United-States, <=50K.
+23, Private, 204226, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+90, Local-gov, 188242, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 11678, 0, 40, United-States, >50K.
+47, Private, 20956, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+40, Private, 55567, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K.
+23, State-gov, 251325, Some-college, 10, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 8, ?, <=50K.
+33, Self-emp-not-inc, 75417, HS-grad, 9, Separated, Other-service, Unmarried, White, Female, 0, 0, 8, United-States, <=50K.
+36, Local-gov, 185556, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, >50K.
+38, Private, 96732, 9th, 5, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, Mexico, <=50K.
+31, Private, 323985, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K.
+52, Federal-gov, 198186, 10th, 6, Separated, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+21, Private, 147884, Some-college, 10, Married-civ-spouse, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K.
+35, Private, 285000, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+54, Private, 91882, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 43, United-States, <=50K.
+37, Private, 196434, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K.
+52, Private, 191968, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+42, Private, 222756, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Male, 7430, 0, 40, United-States, >50K.
+34, Private, 66384, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 35, United-States, <=50K.
+46, Private, 165937, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+56, Private, 243076, Some-college, 10, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+36, Self-emp-not-inc, 193026, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K.
+39, State-gov, 126894, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, Black, Female, 0, 0, 30, United-States, <=50K.
+24, Private, 214399, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 55, United-States, <=50K.
+70, ?, 98979, Some-college, 10, Married-civ-spouse, ?, Husband, Black, Male, 0, 0, 20, United-States, >50K.
+29, Private, 191177, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 18, United-States, <=50K.
+27, Private, 420351, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+53, Private, 159849, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K.
+36, Private, 128392, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 4787, 0, 40, United-States, >50K.
+27, Private, 130492, 11th, 7, Divorced, Craft-repair, Unmarried, Other, Male, 0, 0, 35, United-States, <=50K.
+48, Private, 59380, Some-college, 10, Never-married, Prof-specialty, Unmarried, White, Female, 0, 0, 45, United-States, <=50K.
+59, Local-gov, 130532, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K.
+29, Private, 535740, HS-grad, 9, Never-married, Craft-repair, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K.
+21, Private, 186452, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 35, United-States, <=50K.
+29, Private, 276418, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female, 0, 2051, 32, United-States, <=50K.
+19, ?, 383715, Some-college, 10, Never-married, ?, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K.
+32, Private, 418617, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 55, El-Salvador, <=50K.
+23, Private, 607118, HS-grad, 9, Never-married, Other-service, Own-child, Black, Male, 0, 0, 36, United-States, <=50K.
+42, Self-emp-inc, 230592, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+68, Local-gov, 212932, 10th, 6, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 20, United-States, <=50K.
+51, Self-emp-not-inc, 321865, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 99, United-States, <=50K.
+36, Private, 240755, 9th, 5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+25, Private, 167571, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K.
+70, Self-emp-not-inc, 165586, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+29, Self-emp-not-inc, 132267, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+53, Private, 308082, Preschool, 1, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 15, El-Salvador, <=50K.
+31, Self-emp-not-inc, 402812, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 45, United-States, >50K.
+25, Local-gov, 136357, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+17, Private, 117549, 11th, 7, Never-married, Sales, Own-child, Black, Female, 0, 0, 35, United-States, <=50K.
+41, Private, 482677, 10th, 6, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 30, United-States, <=50K.
+72, Self-emp-not-inc, 112658, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 2653, 0, 42, United-States, <=50K.
+34, Private, 120461, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+48, Private, 83444, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 55, United-States, >50K.
+34, Private, 93699, HS-grad, 9, Separated, Sales, Unmarried, White, Female, 0, 0, 50, United-States, <=50K.
+45, Private, 174794, Some-college, 10, Divorced, Priv-house-serv, Not-in-family, White, Female, 0, 0, 29, United-States, <=50K.
+22, Private, 157332, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K.
+20, Private, 420973, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+30, Private, 176471, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 38, United-States, <=50K.
+31, Private, 113708, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+21, State-gov, 82497, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+32, Private, 169512, Bachelors, 13, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 60, United-States, >50K.
+44, Private, 157765, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+48, Private, 277946, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+21, ?, 195808, 11th, 7, Never-married, ?, Own-child, White, Male, 0, 0, 15, United-States, <=50K.
+50, Private, 57852, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K.
+46, Private, 99699, Bachelors, 13, Separated, Prof-specialty, Not-in-family, Black, Female, 0, 1876, 40, United-States, <=50K.
+32, Private, 296466, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+44, Self-emp-inc, 248476, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K.
+43, Private, 409902, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 96, United-States, <=50K.
+19, ?, 187161, HS-grad, 9, Married-civ-spouse, ?, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+36, Local-gov, 220237, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 1977, 40, United-States, >50K.
+21, Private, 303187, Some-college, 10, Never-married, Handlers-cleaners, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K.
+38, Private, 285890, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, Black, Male, 0, 0, 55, United-States, >50K.
+38, Self-emp-inc, 63322, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K.
+56, Self-emp-not-inc, 159937, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male, 0, 0, 30, United-States, >50K.
+28, Private, 208725, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K.
+41, Private, 325159, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+56, Private, 89698, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K.
+32, Private, 399088, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K.
+35, Private, 134922, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 50, United-States, <=50K.
+22, Private, 245866, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+37, Private, 406328, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 50, United-States, >50K.
+72, Self-emp-not-inc, 203523, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 10, United-States, <=50K.
+30, Private, 272432, HS-grad, 9, Never-married, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+30, State-gov, 182271, HS-grad, 9, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+50, Private, 193746, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+49, Self-emp-not-inc, 203505, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K.
+41, Private, 118484, Some-college, 10, Separated, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+25, Private, 391591, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+29, Private, 30069, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 50, United-States, <=50K.
+38, Private, 179731, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 52, United-States, <=50K.
+34, Private, 128016, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Female, 2202, 0, 40, United-States, <=50K.
+38, Private, 139473, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+26, State-gov, 130302, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+23, Private, 250630, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+24, Local-gov, 115222, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 10520, 0, 40, United-States, >50K.
+19, Private, 198700, Some-college, 10, Never-married, Machine-op-inspct, Own-child, Black, Male, 0, 0, 20, United-States, <=50K.
+23, Private, 394191, HS-grad, 9, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K.
+78, Private, 163140, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 12, United-States, <=50K.
+26, Private, 243786, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K.
+42, State-gov, 248406, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 38, United-States, >50K.
+20, ?, 33860, Some-college, 10, Never-married, ?, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 28, United-States, <=50K.
+45, Private, 138342, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 84, United-States, <=50K.
+41, Private, 115254, Some-college, 10, Divorced, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+55, Private, 173504, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 50, United-States, >50K.
+17, Private, 89259, 11th, 7, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 15, United-States, <=50K.
+30, State-gov, 152940, Masters, 14, Never-married, Prof-specialty, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+27, Private, 58124, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K.
+40, Private, 201908, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+39, Private, 156780, HS-grad, 9, Married-spouse-absent, Other-service, Other-relative, Asian-Pac-Islander, Female, 0, 0, 40, ?, <=50K.
+26, Private, 152924, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+31, Private, 115963, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+29, Private, 375313, Some-college, 10, Never-married, Craft-repair, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 45, Philippines, <=50K.
+46, Local-gov, 126754, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K.
+35, State-gov, 223725, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 65, United-States, <=50K.
+38, Private, 298871, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male, 0, 0, 40, China, <=50K.
+25, Local-gov, 306352, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 1902, 40, Mexico, >50K.
+45, Private, 166879, 11th, 7, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+22, ?, 125040, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+27, Self-emp-not-inc, 198493, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+44, Private, 86298, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+40, Private, 249039, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+27, Private, 217200, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+30, Private, 145139, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+24, Local-gov, 146343, HS-grad, 9, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+35, Private, 102976, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+50, Local-gov, 24013, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K.
+54, Private, 162745, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, >50K.
+55, Private, 128045, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+43, Private, 245937, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 65, United-States, <=50K.
+34, Private, 426431, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, >50K.
+41, Private, 409902, 10th, 6, Separated, Other-service, Unmarried, Black, Female, 0, 0, 33, United-States, <=50K.
+43, Private, 580591, 1st-4th, 2, Married-spouse-absent, Farming-fishing, Not-in-family, White, Male, 0, 0, 28, Mexico, <=50K.
+76, Self-emp-not-inc, 130585, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 12, United-States, <=50K.
+24, Private, 201145, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K.
+51, Private, 196107, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+55, Private, 178353, 9th, 5, Divorced, Machine-op-inspct, Not-in-family, White, Male, 10520, 0, 60, United-States, >50K.
+23, Private, 195508, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K.
+23, Private, 224716, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K.
+18, ?, 280901, HS-grad, 9, Never-married, ?, Own-child, White, Female, 0, 0, 15, United-States, <=50K.
+43, Private, 169076, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+39, Private, 141584, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+57, Self-emp-not-inc, 253267, 5th-6th, 3, Separated, Other-service, Unmarried, White, Female, 0, 0, 35, Cuba, <=50K.
+27, Private, 203776, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+54, Local-gov, 449172, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+37, Private, 174329, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K.
+44, Private, 91674, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+62, Private, 202958, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+40, Private, 205680, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+29, Private, 193932, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+26, Private, 177635, 12th, 8, Married-spouse-absent, Transport-moving, Unmarried, White, Male, 0, 0, 40, Mexico, <=50K.
+65, ?, 180422, Assoc-acdm, 12, Never-married, ?, Not-in-family, White, Male, 6723, 0, 38, United-States, <=50K.
+18, Private, 231335, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+46, Private, 141058, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 40, United-States, >50K.
+20, Federal-gov, 114365, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+23, Local-gov, 212856, Assoc-acdm, 12, Never-married, Protective-serv, Own-child, Black, Female, 0, 0, 35, United-States, <=50K.
+23, Private, 64292, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+58, Self-emp-not-inc, 96609, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+40, ?, 438427, Assoc-acdm, 12, Separated, ?, Unmarried, Black, Female, 0, 0, 55, United-States, <=50K.
+62, ?, 144026, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+21, Private, 105997, HS-grad, 9, Never-married, Other-service, Other-relative, White, Female, 0, 0, 20, United-States, <=50K.
+47, Local-gov, 154430, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K.
+19, Private, 162954, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 30, United-States, <=50K.
+21, Private, 94826, 5th-6th, 3, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, Guatemala, <=50K.
+27, Private, 54897, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+38, Self-emp-not-inc, 135020, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 60, United-States, <=50K.
+40, Self-emp-not-inc, 367819, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 40, United-States, >50K.
+22, Private, 225531, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 2205, 40, United-States, <=50K.
+49, Private, 165937, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+21, Private, 131230, Some-college, 10, Never-married, Tech-support, Own-child, White, Male, 0, 0, 30, United-States, <=50K.
+38, Private, 95647, HS-grad, 9, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Male, 0, 0, 30, United-States, <=50K.
+66, Private, 115880, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 10605, 0, 40, United-States, >50K.
+37, Private, 262278, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 15024, 0, 45, United-States, >50K.
+38, Private, 126755, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+47, Local-gov, 150211, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+47, Private, 188694, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 45, United-States, >50K.
+53, Self-emp-inc, 59840, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+36, Private, 144752, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male, 0, 0, 48, United-States, <=50K.
+63, Private, 192042, HS-grad, 9, Married-civ-spouse, Exec-managerial, Own-child, Black, Female, 0, 0, 40, United-States, <=50K.
+46, Private, 230806, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+28, Private, 364946, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+40, Private, 133986, 10th, 6, Separated, Transport-moving, Unmarried, White, Female, 0, 0, 70, United-States, <=50K.
+21, ?, 201418, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 30, United-States, <=50K.
+31, Private, 236543, 5th-6th, 3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Mexico, <=50K.
+45, Private, 238386, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K.
+50, Local-gov, 96062, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 70, United-States, >50K.
+41, Private, 202565, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K.
+46, Private, 194063, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+62, Self-emp-not-inc, 243733, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 70, United-States, >50K.
+20, Private, 403519, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 1719, 33, United-States, <=50K.
+48, State-gov, 104353, HS-grad, 9, Married-civ-spouse, Craft-repair, Wife, Black, Female, 0, 0, 40, United-States, >50K.
+23, Private, 239539, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K.
+36, Private, 104089, Assoc-voc, 11, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+33, Local-gov, 93585, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+43, Private, 139277, HS-grad, 9, Widowed, Craft-repair, Unmarried, White, Female, 0, 0, 40, Italy, <=50K.
+22, Private, 124971, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+50, Private, 82566, Masters, 14, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 45, United-States, >50K.
+22, Private, 145964, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 15, United-States, <=50K.
+32, Federal-gov, 177855, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, >50K.
+18, Private, 263656, 11th, 7, Never-married, Sales, Own-child, Black, Male, 0, 0, 25, United-States, <=50K.
+40, Private, 199191, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, England, >50K.
+39, Private, 212840, Bachelors, 13, Divorced, Prof-specialty, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+56, Private, 191330, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+50, Self-emp-inc, 193720, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 70, Greece, >50K.
+39, Self-emp-inc, 172927, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 50, United-States, >50K.
+33, Private, 51185, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+30, Private, 186145, Bachelors, 13, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+45, Self-emp-not-inc, 181307, Doctorate, 16, Separated, Prof-specialty, Not-in-family, White, Male, 0, 1408, 40, United-States, <=50K.
+20, Private, 180052, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 22, United-States, <=50K.
+24, ?, 61791, 9th, 5, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+44, Self-emp-not-inc, 52505, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 99, United-States, <=50K.
+36, Private, 48976, Bachelors, 13, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, >50K.
+37, Private, 281012, HS-grad, 9, Married-civ-spouse, Craft-repair, Wife, Asian-Pac-Islander, Female, 0, 0, 40, China, >50K.
+33, Private, 156464, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+71, Local-gov, 94358, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 6, United-States, <=50K.
+44, Federal-gov, 296858, Masters, 14, Married-civ-spouse, Armed-Forces, Husband, White, Male, 0, 0, 40, United-States, >50K.
+46, Private, 84790, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K.
+43, Private, 177054, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+38, Local-gov, 131239, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K.
+30, Federal-gov, 49398, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+44, Private, 27242, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Philippines, <=50K.
+41, Local-gov, 113324, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+33, Private, 295591, Preschool, 1, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K.
+61, Private, 48549, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 38, United-States, >50K.
+45, Local-gov, 384627, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 2580, 0, 18, United-States, <=50K.
+25, Private, 266062, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K.
+26, State-gov, 208117, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 38, United-States, <=50K.
+23, Private, 315476, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 30, United-States, <=50K.
+35, Private, 20308, Some-college, 10, Separated, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+60, Private, 169204, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+35, Private, 319831, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K.
+32, Private, 80356, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+26, Private, 313473, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K.
+31, Private, 209529, 11th, 7, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, Puerto-Rico, <=50K.
+24, Private, 214956, 11th, 7, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+31, Private, 557853, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 5013, 0, 32, United-States, <=50K.
+49, Private, 78529, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+37, Private, 446390, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, United-States, >50K.
+43, Local-gov, 256253, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K.
+31, Private, 61898, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K.
+34, Private, 181152, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 35, United-States, <=50K.
+34, Private, 90409, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+35, Self-emp-inc, 237713, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K.
+29, Private, 176727, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K.
+26, Private, 285367, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, White, Male, 4416, 0, 28, United-States, <=50K.
+36, Private, 135293, Masters, 14, Separated, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K.
+39, ?, 105044, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 7298, 0, 40, United-States, >50K.
+48, State-gov, 98010, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 16, United-States, >50K.
+56, Private, 162301, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+65, Self-emp-inc, 103824, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+28, Private, 115677, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 40, United-States, >50K.
+48, Local-gov, 319079, Bachelors, 13, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 30, United-States, <=50K.
+64, Private, 134912, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 12, United-States, <=50K.
+31, Private, 35985, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+44, Private, 245317, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+34, Private, 35743, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+54, Private, 231004, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 37, United-States, <=50K.
+51, Private, 237295, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+38, Private, 43311, 5th-6th, 3, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, El-Salvador, <=50K.
+18, Private, 154583, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 16, United-States, <=50K.
+64, Private, 278515, HS-grad, 9, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+26, Private, 266062, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K.
+36, Self-emp-not-inc, 172425, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 25, United-States, >50K.
+46, Self-emp-not-inc, 102388, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+48, Private, 195554, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 7298, 0, 40, United-States, >50K.
+32, Private, 265368, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 1902, 44, United-States, >50K.
+19, Private, 100669, Assoc-voc, 11, Never-married, Craft-repair, Own-child, Asian-Pac-Islander, Male, 0, 0, 20, United-States, <=50K.
+45, Private, 233511, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+42, Self-emp-inc, 223566, Prof-school, 15, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 15, United-States, <=50K.
+22, Private, 95552, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+27, Private, 159676, HS-grad, 9, Divorced, Transport-moving, Other-relative, White, Male, 0, 0, 40, United-States, <=50K.
+19, ?, 80978, HS-grad, 9, Never-married, ?, Own-child, White, Female, 0, 0, 25, United-States, <=50K.
+48, Private, 70584, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+29, Private, 153475, 11th, 7, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+47, Self-emp-not-inc, 104489, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K.
+54, Private, 146325, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K.
+39, Self-emp-not-inc, 246900, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+35, Private, 187589, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+46, Self-emp-not-inc, 65535, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+50, Private, 38540, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+46, Private, 191389, 5th-6th, 3, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, Italy, <=50K.
+19, Private, 231492, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 60, United-States, <=50K.
+32, Private, 130007, 10th, 6, Divorced, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K.
+64, Self-emp-inc, 487751, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+33, Private, 52240, Some-college, 10, Never-married, Sales, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K.
+65, Self-emp-not-inc, 172906, Assoc-acdm, 12, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, >50K.
+47, Private, 158685, 12th, 8, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K.
+33, Private, 307693, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 30, United-States, <=50K.
+40, Private, 202922, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+61, Local-gov, 119563, HS-grad, 9, Married-spouse-absent, Other-service, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K.
+30, Private, 161444, Assoc-voc, 11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 38, United-States, <=50K.
+27, Private, 82242, Bachelors, 13, Never-married, Exec-managerial, Other-relative, White, Male, 0, 0, 45, Germany, <=50K.
+68, Private, 357233, HS-grad, 9, Widowed, Handlers-cleaners, Other-relative, White, Female, 0, 0, 10, United-States, <=50K.
+31, Private, 177596, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, Puerto-Rico, <=50K.
+27, Private, 209085, HS-grad, 9, Never-married, Sales, Other-relative, White, Male, 0, 0, 45, United-States, <=50K.
+35, Private, 241306, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+32, Private, 19447, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+48, Private, 195104, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+22, Private, 109456, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 32, United-States, <=50K.
+68, Private, 34887, HS-grad, 9, Widowed, Priv-house-serv, Not-in-family, White, Female, 0, 0, 6, United-States, <=50K.
+55, Private, 202435, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+49, Private, 191821, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 32, United-States, <=50K.
+49, Self-emp-not-inc, 228372, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1977, 60, United-States, >50K.
+37, Private, 78374, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female, 0, 0, 38, Japan, <=50K.
+58, Private, 129786, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+23, Private, 410439, HS-grad, 9, Divorced, Prof-specialty, Own-child, White, Male, 0, 0, 20, United-States, <=50K.
+35, Self-emp-inc, 152307, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1485, 40, United-States, <=50K.
+42, Private, 33895, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+20, Private, 178390, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K.
+63, Private, 114011, 11th, 7, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+23, Private, 157839, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K.
+30, Federal-gov, 97355, Some-college, 10, Separated, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+40, Private, 369781, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 15024, 0, 45, United-States, >50K.
+22, Private, 225515, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+21, Private, 138513, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 25, United-States, <=50K.
+72, Self-emp-not-inc, 138248, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 20, United-States, <=50K.
+28, Self-emp-not-inc, 149141, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K.
+36, Federal-gov, 233955, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K.
+40, Federal-gov, 150533, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 1977, 40, United-States, >50K.
+53, Private, 233369, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+22, Private, 188779, Some-college, 10, Never-married, Sales, Own-child, Black, Female, 0, 0, 16, United-States, <=50K.
+53, Private, 287927, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 60, England, <=50K.
+20, ?, 96483, Some-college, 10, Never-married, ?, Own-child, Asian-Pac-Islander, Female, 0, 0, 8, United-States, <=50K.
+39, Private, 165215, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 15, Poland, <=50K.
+32, Private, 107142, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 5013, 0, 50, United-States, <=50K.
+48, Private, 82008, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+25, Private, 116044, HS-grad, 9, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+58, Private, 160101, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K.
+41, Private, 356934, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 45, United-States, >50K.
+36, Private, 204527, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Male, 1506, 0, 40, United-States, <=50K.
+36, Private, 276276, Some-college, 10, Divorced, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+28, Private, 110408, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+37, Private, 187022, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+35, Private, 117528, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+50, Private, 180439, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 33, United-States, <=50K.
+47, Private, 185870, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+21, Private, 290504, Some-college, 10, Never-married, Other-service, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+49, Private, 162264, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+38, Private, 253716, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+28, State-gov, 190525, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+29, Private, 283227, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+31, Private, 375221, 11th, 7, Never-married, Transport-moving, Not-in-family, Black, Male, 0, 0, 35, United-States, <=50K.
+30, Private, 194971, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 52, China, <=50K.
+30, Private, 198091, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 44, United-States, <=50K.
+30, Private, 224462, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+38, Private, 198751, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, Vietnam, <=50K.
+27, Private, 221166, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+54, Local-gov, 277777, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 3103, 0, 40, United-States, >50K.
+32, Local-gov, 247156, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 3103, 0, 38, United-States, >50K.
+23, Private, 61777, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 2580, 0, 40, United-States, <=50K.
+62, Private, 67928, 1st-4th, 2, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Mexico, <=50K.
+20, Private, 204596, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 32, United-States, <=50K.
+23, Private, 27881, Some-college, 10, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 66, United-States, <=50K.
+48, Private, 332884, Assoc-acdm, 12, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+60, Private, 178551, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 26, United-States, <=50K.
+22, Private, 215917, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K.
+56, Private, 284701, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K.
+63, Private, 286990, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K.
+73, Private, 366204, 7th-8th, 4, Widowed, Priv-house-serv, Unmarried, Black, Female, 1264, 0, 10, United-States, <=50K.
+22, Private, 163519, Bachelors, 13, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+51, Private, 123780, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+39, Private, 108140, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+31, Federal-gov, 469263, HS-grad, 9, Divorced, Craft-repair, Unmarried, Black, Male, 0, 0, 50, United-States, <=50K.
+52, Private, 216558, Some-college, 10, Separated, Craft-repair, Other-relative, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K.
+46, Private, 149218, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K.
+32, Private, 113453, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 24, United-States, >50K.
+46, Private, 23545, HS-grad, 9, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+46, Private, 409443, 5th-6th, 3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 25, Mexico, <=50K.
+29, Local-gov, 152744, Masters, 14, Never-married, Prof-specialty, Other-relative, Asian-Pac-Islander, Female, 1506, 0, 40, United-States, <=50K.
+33, Private, 166543, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+23, Private, 224217, 11th, 7, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, Puerto-Rico, <=50K.
+41, State-gov, 244522, HS-grad, 9, Divorced, Protective-serv, Unmarried, White, Male, 0, 0, 55, United-States, <=50K.
+50, Private, 148121, Some-college, 10, Widowed, Exec-managerial, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K.
+69, Private, 295425, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 24, United-States, <=50K.
+30, Self-emp-not-inc, 255424, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, <=50K.
+21, Private, 97214, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 35, United-States, <=50K.
+29, Local-gov, 158703, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+43, ?, 478972, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+44, Private, 180383, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+33, Private, 159123, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K.
+51, Private, 231230, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+25, Private, 134232, Bachelors, 13, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+23, Private, 90729, 11th, 7, Never-married, Machine-op-inspct, Unmarried, Other, Male, 0, 0, 40, United-States, <=50K.
+36, Private, 275338, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K.
+23, Private, 410446, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+28, Private, 120475, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K.
+39, Federal-gov, 127048, Some-college, 10, Never-married, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+60, State-gov, 113544, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+34, Self-emp-inc, 233727, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+62, Self-emp-not-inc, 210064, Some-college, 10, Widowed, Prof-specialty, Unmarried, White, Male, 0, 0, 20, United-States, <=50K.
+53, Private, 77462, Some-college, 10, Separated, Prof-specialty, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K.
+25, Private, 108001, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+36, Private, 379522, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 15024, 0, 40, United-States, >50K.
+29, State-gov, 51461, Assoc-acdm, 12, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+31, Private, 147270, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 35, United-States, <=50K.
+44, Private, 118212, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+49, Private, 189792, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+58, Private, 225623, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, ?, <=50K.
+38, Private, 248445, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K.
+39, Private, 218490, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 60, United-States, >50K.
+22, ?, 379883, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+38, Self-emp-inc, 312232, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K.
+47, Private, 234470, Assoc-acdm, 12, Widowed, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+19, Private, 389942, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+38, Private, 79483, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K.
+39, Private, 389279, Assoc-voc, 11, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+50, Self-emp-not-inc, 107581, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+38, Private, 176458, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 35, United-States, <=50K.
+19, Private, 70505, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K.
+51, Local-gov, 259646, Masters, 14, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+40, Private, 235743, Assoc-acdm, 12, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 45, United-States, <=50K.
+35, Private, 177449, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1887, 52, United-States, >50K.
+28, Private, 103432, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 45, Portugal, >50K.
+47, Private, 347088, 5th-6th, 3, Separated, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+51, Self-emp-not-inc, 275924, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 50, Mexico, >50K.
+34, Private, 162113, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 48, United-States, >50K.
+17, Private, 147497, 5th-6th, 3, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+33, Self-emp-not-inc, 37232, Assoc-voc, 11, Divorced, Craft-repair, Not-in-family, White, Male, 10520, 0, 80, United-States, >50K.
+33, Private, 441949, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 24, United-States, <=50K.
+30, Private, 285855, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+49, Private, 103123, Bachelors, 13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K.
+46, Private, 207076, Masters, 14, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K.
+38, Self-emp-not-inc, 36270, HS-grad, 9, Married-spouse-absent, Farming-fishing, Unmarried, White, Male, 0, 0, 60, United-States, <=50K.
+43, Private, 206927, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 50, United-States, >50K.
+32, Private, 236415, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+26, Private, 108035, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+21, Private, 225395, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 24, United-States, <=50K.
+28, State-gov, 140239, HS-grad, 9, Separated, Other-service, Own-child, White, Female, 0, 0, 11, United-States, <=50K.
+36, Private, 338033, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+55, Private, 314164, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+56, Private, 337065, 7th-8th, 4, Divorced, Farming-fishing, Other-relative, White, Male, 0, 0, 40, United-States, <=50K.
+33, State-gov, 340899, Doctorate, 16, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 45, United-States, >50K.
+49, Private, 102096, 9th, 5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 3781, 0, 40, United-States, <=50K.
+47, Private, 31141, Masters, 14, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K.
+62, Private, 312818, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 1, United-States, >50K.
+42, Local-gov, 270147, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+41, Private, 97279, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+31, Private, 247328, 5th-6th, 3, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 30, El-Salvador, <=50K.
+48, Self-emp-not-inc, 31267, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 3411, 0, 70, United-States, <=50K.
+32, Private, 220066, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+19, Self-emp-not-inc, 159269, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 53, Yugoslavia, <=50K.
+47, Private, 155107, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+24, Local-gov, 354351, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, >50K.
+18, Private, 129053, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 28, United-States, <=50K.
+58, Private, 255822, 7th-8th, 4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+49, Private, 192323, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+31, Private, 176244, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 35, United-States, <=50K.
+23, Private, 223019, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+32, Private, 243243, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 77, United-States, <=50K.
+22, State-gov, 194630, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 10, United-States, <=50K.
+51, Self-emp-inc, 98980, HS-grad, 9, Married-spouse-absent, Exec-managerial, Not-in-family, White, Male, 0, 0, 99, United-States, >50K.
+39, Private, 223792, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 72, United-States, <=50K.
+31, Private, 415706, 10th, 6, Separated, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+38, Local-gov, 68781, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+68, Self-emp-inc, 113718, 11th, 7, Married-civ-spouse, Sales, Husband, White, Male, 0, 1258, 40, United-States, <=50K.
+37, Local-gov, 152587, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+25, State-gov, 120268, Some-college, 10, Married-civ-spouse, Craft-repair, Own-child, White, Male, 0, 0, 50, United-States, >50K.
+37, Private, 52870, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+55, Local-gov, 193895, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 38, United-States, <=50K.
+32, Private, 239662, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 1579, 36, United-States, <=50K.
+51, Local-gov, 201040, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, Mexico, >50K.
+36, State-gov, 25806, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, China, <=50K.
+46, Private, 130667, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+55, Private, 141807, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+51, State-gov, 108037, Doctorate, 16, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+50, Local-gov, 129311, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+47, Private, 149218, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 65, United-States, <=50K.
+42, Private, 337276, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K.
+48, Local-gov, 24366, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K.
+61, ?, 149855, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 0, 2057, 70, United-States, <=50K.
+35, Self-emp-inc, 49020, Assoc-acdm, 12, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 35, United-States, <=50K.
+36, Private, 165007, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+31, Private, 83413, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+45, Private, 103331, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 15024, 0, 44, United-States, >50K.
+56, Private, 142689, 11th, 7, Divorced, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+36, Private, 398575, Some-college, 10, Never-married, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+26, Private, 166301, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+37, Private, 53703, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+38, Private, 274907, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K.
+34, Private, 226525, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+29, Private, 36440, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+37, Private, 81965, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 25, United-States, <=50K.
+52, Private, 111192, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K.
+20, Private, 214238, 11th, 7, Never-married, Sales, Other-relative, White, Female, 0, 0, 32, Mexico, <=50K.
+43, Private, 115932, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K.
+33, Private, 173730, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+63, Private, 123157, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+67, Private, 220283, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K.
+24, Private, 155066, Assoc-voc, 11, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+29, Private, 244246, Some-college, 10, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, Poland, <=50K.
+37, Private, 112264, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+54, Private, 200450, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+66, ?, 128609, HS-grad, 9, Divorced, ?, Not-in-family, Black, Male, 0, 0, 40, United-States, >50K.
+57, Private, 340591, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+36, Local-gov, 43712, Assoc-voc, 11, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+41, Private, 316820, Prof-school, 15, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, >50K.
+48, Private, 44142, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+24, Private, 311311, Bachelors, 13, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K.
+66, ?, 143417, Assoc-voc, 11, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+29, Private, 264166, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 60, Mexico, <=50K.
+44, Private, 112656, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 20, United-States, <=50K.
+45, Private, 123844, HS-grad, 9, Divorced, Other-service, Own-child, White, Female, 0, 0, 60, United-States, <=50K.
+27, Private, 146760, Some-college, 10, Never-married, Other-service, Own-child, Black, Female, 0, 0, 40, United-States, <=50K.
+36, Private, 225516, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, United-States, >50K.
+36, Private, 114366, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+32, State-gov, 199227, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 55, United-States, <=50K.
+18, Private, 299347, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+39, Private, 74194, Assoc-voc, 11, Divorced, Craft-repair, Not-in-family, White, Male, 0, 1721, 45, United-States, <=50K.
+25, Private, 244408, HS-grad, 9, Married-civ-spouse, Exec-managerial, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K.
+26, Private, 198289, 12th, 8, Never-married, Farming-fishing, Other-relative, White, Male, 0, 0, 40, Puerto-Rico, <=50K.
+63, State-gov, 89451, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+50, Local-gov, 149433, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+47, Private, 236999, 1st-4th, 2, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K.
+17, Private, 34943, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K.
+46, Self-emp-inc, 40666, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 15024, 0, 40, United-States, >50K.
+34, Private, 329170, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 6849, 0, 70, United-States, <=50K.
+26, Private, 122999, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+48, Local-gov, 118972, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+47, Private, 205068, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 60, United-States, >50K.
+40, Private, 195124, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Columbia, <=50K.
+21, Private, 143184, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+55, ?, 90290, HS-grad, 9, Divorced, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+37, Private, 175232, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+41, Private, 319366, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, Haiti, >50K.
+34, Private, 61559, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K.
+47, Private, 247869, Some-college, 10, Separated, Transport-moving, Unmarried, White, Male, 0, 0, 50, United-States, >50K.
+39, Private, 204158, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 5178, 0, 60, United-States, >50K.
+36, Private, 239755, Assoc-voc, 11, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+29, Private, 198210, HS-grad, 9, Never-married, Tech-support, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+46, Local-gov, 190961, HS-grad, 9, Separated, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+77, Private, 171193, Assoc-voc, 11, Divorced, Sales, Not-in-family, White, Female, 0, 1668, 30, United-States, <=50K.
+27, Private, 110073, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, England, >50K.
+19, Private, 163885, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+38, Private, 99783, Assoc-voc, 11, Married-civ-spouse, Other-service, Wife, White, Female, 0, 1902, 40, United-States, <=50K.
+18, Private, 430930, 11th, 7, Never-married, Priv-house-serv, Own-child, White, Female, 0, 0, 6, United-States, <=50K.
+54, Private, 200450, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 35, United-States, <=50K.
+33, Private, 226296, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 1672, 50, United-States, <=50K.
+45, Self-emp-inc, 214690, Some-college, 10, Separated, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+28, Private, 181008, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, England, >50K.
+26, Local-gov, 345779, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 43, United-States, <=50K.
+26, Private, 58350, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K.
+41, Private, 164647, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K.
+21, Private, 142809, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+38, Private, 105803, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+26, Private, 195067, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+49, Private, 289964, Some-college, 10, Separated, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+26, Private, 194813, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+43, Self-emp-inc, 303211, HS-grad, 9, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+22, Private, 37932, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K.
+73, Self-emp-not-inc, 268832, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+33, Private, 63925, 5th-6th, 3, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K.
+25, Private, 189897, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+36, Private, 635913, HS-grad, 9, Married-spouse-absent, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+25, ?, 296228, Some-college, 10, Never-married, ?, Unmarried, Other, Female, 0, 0, 42, United-States, <=50K.
+42, Self-emp-not-inc, 138162, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+54, Self-emp-not-inc, 164757, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 16, United-States, <=50K.
+33, Private, 236013, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 55, United-States, >50K.
+79, Private, 149912, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+48, Private, 85384, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 40, United-States, >50K.
+52, Self-emp-not-inc, 30008, Masters, 14, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+23, State-gov, 209744, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K.
+25, Private, 161027, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+54, Private, 131662, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, Germany, <=50K.
+47, Private, 115971, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+21, Private, 88373, HS-grad, 9, Married-civ-spouse, Other-service, Other-relative, White, Female, 0, 0, 16, United-States, <=50K.
+45, Federal-gov, 211399, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 40, United-States, >50K.
+22, Local-gov, 273989, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+27, Private, 124614, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+51, Private, 263439, Bachelors, 13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+56, Self-emp-not-inc, 19896, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 60, United-States, >50K.
+31, Private, 229732, HS-grad, 9, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 50, United-States, <=50K.
+59, ?, 169611, Some-college, 10, Married-civ-spouse, ?, Wife, White, Female, 7298, 0, 12, United-States, >50K.
+36, Private, 220237, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, Greece, >50K.
+46, Self-emp-not-inc, 130779, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 48, United-States, >50K.
+24, Private, 152540, Bachelors, 13, Divorced, Transport-moving, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+47, Private, 168330, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 2829, 0, 40, United-States, <=50K.
+29, Private, 485944, Bachelors, 13, Never-married, Sales, Own-child, Black, Male, 0, 0, 40, United-States, <=50K.
+34, Private, 199539, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, >50K.
+26, Private, 210521, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 42, United-States, >50K.
+19, Private, 244175, 11th, 7, Never-married, Sales, Own-child, White, Male, 0, 0, 25, United-States, <=50K.
+42, Private, 223763, Masters, 14, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K.
+56, Self-emp-not-inc, 183580, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 30, ?, <=50K.
+42, Private, 63596, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K.
+35, Private, 108540, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 3137, 0, 40, United-States, <=50K.
+43, Self-emp-not-inc, 116632, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 1887, 45, United-States, >50K.
+17, Private, 175414, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K.
+38, Federal-gov, 290624, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+33, Private, 557805, Assoc-voc, 11, Never-married, Sales, Other-relative, White, Female, 0, 0, 40, El-Salvador, <=50K.
+20, Private, 19410, HS-grad, 9, Never-married, Other-service, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K.
+48, Private, 206357, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 44, United-States, <=50K.
+38, Private, 216385, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 1740, 40, Haiti, <=50K.
+46, Private, 120131, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 3103, 0, 40, United-States, >50K.
+72, Private, 131699, Some-college, 10, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 6, United-States, <=50K.
+30, Self-emp-not-inc, 157778, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+31, Private, 302679, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+29, Private, 133292, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Male, 0, 0, 40, United-States, <=50K.
+83, Self-emp-not-inc, 243567, 11th, 7, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K.
+61, Private, 72442, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+42, Self-emp-not-inc, 43909, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K.
+23, Private, 108307, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+20, Local-gov, 87467, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 18, United-States, <=50K.
+42, State-gov, 99185, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K.
+27, Federal-gov, 37274, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 20, United-States, <=50K.
+44, Self-emp-not-inc, 342434, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K.
+62, Self-emp-not-inc, 234372, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+66, Self-emp-inc, 107627, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K.
+22, ?, 377725, Bachelors, 13, Never-married, ?, Not-in-family, White, Female, 0, 0, 23, United-States, <=50K.
+32, Private, 30271, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 45, United-States, <=50K.
+30, Private, 368570, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+43, Private, 316820, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 40, United-States, >50K.
+56, State-gov, 176538, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K.
+64, Private, 265786, 5th-6th, 3, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+31, Private, 82393, Some-college, 10, Married-civ-spouse, Other-service, Other-relative, Asian-Pac-Islander, Male, 0, 0, 30, Philippines, <=50K.
+46, Private, 318259, Some-college, 10, Separated, Tech-support, Unmarried, White, Female, 0, 0, 55, United-States, <=50K.
+45, Private, 157980, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 32, United-States, <=50K.
+41, Private, 173981, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, ?, <=50K.
+52, Federal-gov, 165050, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 48, United-States, >50K.
+19, Private, 303652, HS-grad, 9, Never-married, Sales, Unmarried, White, Female, 0, 0, 30, United-States, <=50K.
+34, Private, 393376, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+57, Self-emp-inc, 121912, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, >50K.
+30, Private, 351770, 9th, 5, Divorced, Other-service, Unmarried, White, Female, 0, 0, 38, United-States, <=50K.
+39, Self-emp-not-inc, 198841, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, Canada, >50K.
+41, Local-gov, 139160, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+21, ?, 214810, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 25, United-States, <=50K.
+31, Private, 137385, Some-college, 10, Never-married, Tech-support, Not-in-family, Black, Female, 0, 0, 50, United-States, <=50K.
+39, Private, 86643, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 27828, 0, 55, United-States, >50K.
+20, Private, 200089, 11th, 7, Never-married, Farming-fishing, Other-relative, White, Male, 0, 0, 36, El-Salvador, <=50K.
+26, Private, 219199, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K.
+36, Private, 142711, HS-grad, 9, Separated, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, Puerto-Rico, <=50K.
+29, Private, 626493, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+24, Private, 177125, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+28, State-gov, 181776, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 1876, 70, United-States, <=50K.
+36, Private, 257250, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 35, United-States, <=50K.
+42, Private, 444134, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+18, ?, 24688, HS-grad, 9, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+34, Local-gov, 33731, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K.
+27, Private, 209443, Bachelors, 13, Married-AF-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+39, Private, 140854, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1902, 60, United-States, >50K.
+50, Private, 330142, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 44, United-States, <=50K.
+26, Private, 29488, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K.
+52, Private, 279129, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K.
+32, Private, 177940, Assoc-acdm, 12, Never-married, Machine-op-inspct, Own-child, Black, Male, 0, 0, 48, United-States, <=50K.
+19, Private, 391403, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 30, United-States, <=50K.
+36, Private, 334365, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+28, Private, 171356, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 55, United-States, <=50K.
+45, Private, 71145, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 45, United-States, >50K.
+25, Private, 36943, Assoc-acdm, 12, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K.
+42, Private, 285787, Assoc-acdm, 12, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+24, Private, 433580, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+55, Self-emp-not-inc, 50197, 9th, 5, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 30, United-States, <=50K.
+59, State-gov, 139611, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 1977, 40, India, >50K.
+31, Private, 187802, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+28, Private, 241431, 12th, 8, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+30, Private, 121775, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+19, Private, 136758, Some-college, 10, Never-married, Tech-support, Own-child, White, Female, 0, 0, 10, United-States, <=50K.
+22, Private, 493034, HS-grad, 9, Never-married, Other-service, Own-child, Black, Male, 0, 0, 40, United-States, <=50K.
+20, Private, 132139, 10th, 6, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 30, United-States, <=50K.
+50, Self-emp-not-inc, 100109, 11th, 7, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, ?, <=50K.
+23, Private, 198861, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 1669, 40, United-States, <=50K.
+19, Private, 273226, 11th, 7, Never-married, Tech-support, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+19, Private, 323054, HS-grad, 9, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 30, United-States, <=50K.
+22, Private, 284895, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, <=50K.
+21, Private, 191324, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 25, United-States, <=50K.
+53, Private, 92565, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, >50K.
+46, Private, 234690, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, Cuba, >50K.
+20, Private, 258509, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, Black, Male, 0, 0, 40, United-States, <=50K.
+42, State-gov, 178897, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 1151, 0, 40, United-States, <=50K.
+65, Private, 220788, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K.
+55, Private, 376548, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+18, Private, 228592, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 18, United-States, <=50K.
+33, Local-gov, 177216, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+33, ?, 211743, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 21, United-States, <=50K.
+21, Private, 23813, 10th, 6, Divorced, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K.
+47, Private, 195688, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+26, Private, 124953, HS-grad, 9, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, ?, <=50K.
+34, Private, 129775, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+22, Private, 339644, HS-grad, 9, Married-spouse-absent, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K.
+61, Private, 149648, 11th, 7, Widowed, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+79, Private, 187492, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 7, United-States, <=50K.
+18, Private, 336523, 12th, 8, Never-married, Other-service, Other-relative, Black, Male, 0, 0, 20, United-States, <=50K.
+39, State-gov, 222530, Some-college, 10, Never-married, Prof-specialty, Not-in-family, Black, Female, 0, 1590, 40, United-States, <=50K.
+49, Self-emp-inc, 140644, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 5013, 0, 45, United-States, <=50K.
+31, Private, 265201, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, Germany, <=50K.
+47, Private, 135246, 11th, 7, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+36, Private, 89202, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+25, Private, 296394, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, Black, Male, 0, 0, 45, United-States, <=50K.
+50, Local-gov, 66544, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 65, United-States, <=50K.
+41, Self-emp-not-inc, 165815, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+18, Private, 187722, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+38, Local-gov, 187046, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K.
+38, Private, 397877, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K.
+37, Private, 258827, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K.
+19, Private, 119529, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K.
+22, Private, 97212, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K.
+19, Private, 47235, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 75, United-States, <=50K.
+56, Private, 359972, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+20, Private, 97212, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 30, United-States, <=50K.
+52, Local-gov, 72036, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 25, United-States, <=50K.
+35, Private, 174938, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+29, Private, 201404, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 56, United-States, <=50K.
+23, Private, 234791, Some-college, 10, Never-married, Other-service, Unmarried, White, Female, 0, 0, 36, United-States, <=50K.
+33, State-gov, 85632, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+17, Private, 147411, 5th-6th, 3, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K.
+36, Private, 127388, Assoc-acdm, 12, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+21, Private, 116657, HS-grad, 9, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+19, ?, 194608, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 10, United-States, <=50K.
+28, Private, 108706, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+19, Private, 158343, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 12, United-States, <=50K.
+51, Private, 914061, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+38, Private, 190174, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 30, United-States, <=50K.
+19, Private, 456736, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K.
+46, Self-emp-inc, 167882, Assoc-voc, 11, Divorced, Exec-managerial, Not-in-family, White, Female, 8614, 0, 70, United-States, >50K.
+42, Self-emp-inc, 557349, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 70, United-States, <=50K.
+19, Private, 310483, 12th, 8, Never-married, Other-service, Own-child, White, Male, 0, 0, 25, United-States, <=50K.
+29, Private, 78261, HS-grad, 9, Separated, Protective-serv, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K.
+39, Private, 172571, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K.
+21, Private, 230229, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K.
+30, Private, 183017, HS-grad, 9, Divorced, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+38, Self-emp-not-inc, 230329, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 48, United-States, <=50K.
+47, Private, 46537, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+34, Private, 409622, 5th-6th, 3, Married-civ-spouse, Craft-repair, Husband, Other, Male, 0, 0, 40, Mexico, <=50K.
+46, Private, 190482, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+20, State-gov, 113588, HS-grad, 9, Never-married, Tech-support, Own-child, White, Female, 0, 0, 24, United-States, <=50K.
+46, Self-emp-not-inc, 246891, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 99, United-States, >50K.
+50, Private, 193081, Preschool, 1, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 40, Haiti, <=50K.
+50, ?, 284477, 5th-6th, 3, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+35, Private, 141420, HS-grad, 9, Married-civ-spouse, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+32, Private, 197325, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+22, Private, 443336, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K.
+37, Private, 66304, 9th, 5, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 16, United-States, <=50K.
+25, Private, 180783, HS-grad, 9, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 10, United-States, <=50K.
+38, Local-gov, 218763, Masters, 14, Separated, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+39, Federal-gov, 388252, Bachelors, 13, Never-married, Tech-support, Own-child, Black, Male, 0, 0, 40, United-States, <=50K.
+22, Private, 55614, HS-grad, 9, Never-married, Handlers-cleaners, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+25, Private, 307643, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 3103, 0, 45, United-States, >50K.
+18, ?, 33241, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+25, Local-gov, 58065, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 50, United-States, <=50K.
+65, State-gov, 172348, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 20, United-States, <=50K.
+72, Private, 138790, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 30, United-States, <=50K.
+25, State-gov, 117393, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 38, United-States, <=50K.
+22, Private, 227220, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+36, Private, 241306, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+27, Private, 189565, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+33, Self-emp-inc, 182714, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+28, Private, 113839, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+30, Private, 92531, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K.
+24, Private, 119629, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 37, United-States, <=50K.
+26, Private, 322585, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+38, Private, 277347, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+20, Private, 221955, 5th-6th, 3, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K.
+38, Private, 149347, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+75, Private, 207116, HS-grad, 9, Married-spouse-absent, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+35, Private, 174077, Some-college, 10, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 32, United-States, <=50K.
+50, Private, 22418, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+23, Self-emp-not-inc, 255252, 11th, 7, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+74, Private, 159138, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 12, United-States, <=50K.
+38, Private, 414991, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K.
+43, Private, 282678, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K.
+53, Federal-gov, 164195, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 4386, 0, 40, United-States, >50K.
+21, Private, 143436, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+33, Private, 202046, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Canada, <=50K.
+21, ?, 202214, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 1721, 40, United-States, <=50K.
+55, Private, 236731, 1st-4th, 2, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, Dominican-Republic, <=50K.
+23, Local-gov, 307267, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 10, United-States, <=50K.
+49, Private, 144514, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+62, Private, 155913, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+17, Private, 206383, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 17, United-States, <=50K.
+25, Private, 233994, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+33, Self-emp-not-inc, 123291, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+34, Self-emp-not-inc, 195602, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K.
+20, Private, 151888, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+52, Private, 103995, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+31, Private, 263796, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+35, Private, 111499, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+28, Private, 202222, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+31, Private, 230246, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+36, Private, 37778, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 48, United-States, <=50K.
+17, Private, 144752, 10th, 6, Never-married, Handlers-cleaners, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 20, United-States, <=50K.
+27, Private, 220931, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 32, United-States, <=50K.
+38, Federal-gov, 68840, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+38, Private, 205339, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+44, Private, 172837, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 52, United-States, >50K.
+41, State-gov, 159131, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+30, Private, 207284, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+20, Private, 350824, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+70, ?, 116080, Doctorate, 16, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 2, United-States, >50K.
+39, Self-emp-not-inc, 183081, Masters, 14, Never-married, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, >50K.
+37, Self-emp-not-inc, 177974, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 3942, 0, 99, United-States, <=50K.
+63, Private, 192849, Bachelors, 13, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 10, United-States, <=50K.
+18, Private, 169882, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 12, United-States, <=50K.
+21, Private, 137320, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Male, 0, 0, 20, United-States, <=50K.
+34, Private, 251521, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K.
+17, Private, 329791, 12th, 8, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 25, United-States, <=50K.
+32, Private, 261319, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K.
+37, Local-gov, 343052, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+28, Private, 53271, HS-grad, 9, Never-married, Transport-moving, Other-relative, White, Male, 0, 0, 38, United-States, <=50K.
+20, Private, 129024, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K.
+29, Private, 179768, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+32, Private, 144949, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K.
+27, Private, 150861, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+44, Local-gov, 112763, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 38, United-States, <=50K.
+25, Private, 116358, HS-grad, 9, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K.
+38, Self-emp-not-inc, 331374, 11th, 7, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+52, Private, 152811, 10th, 6, Widowed, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+68, Local-gov, 202699, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 6418, 0, 35, United-States, >50K.
+55, Private, 92847, 7th-8th, 4, Widowed, Priv-house-serv, Unmarried, White, Female, 0, 0, 30, United-States, <=50K.
+41, Private, 137142, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+36, Private, 953588, 11th, 7, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+35, Local-gov, 225544, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 48, United-States, <=50K.
+62, Private, 116289, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+32, Private, 279912, Some-college, 10, Never-married, Tech-support, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K.
+57, Self-emp-not-inc, 256630, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 0, 0, 60, Canada, >50K.
+42, Private, 259727, Bachelors, 13, Divorced, Prof-specialty, Unmarried, Black, Female, 25236, 0, 20, United-States, >50K.
+47, Private, 331650, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K.
+34, Private, 182006, 11th, 7, Never-married, Adm-clerical, Not-in-family, White, Female, 4416, 0, 30, United-States, <=50K.
+19, Private, 277708, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 40, United-States, <=50K.
+36, Private, 64874, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+37, Private, 376455, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+57, Private, 125000, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+43, Private, 390369, Assoc-acdm, 12, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K.
+51, Private, 250423, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+48, Local-gov, 27802, Masters, 14, Separated, Prof-specialty, Not-in-family, White, Male, 0, 1876, 50, United-States, <=50K.
+50, Private, 137192, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 20, Philippines, <=50K.
+28, State-gov, 200068, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, Other, Female, 0, 0, 40, United-States, <=50K.
+26, Private, 220656, HS-grad, 9, Never-married, Adm-clerical, Own-child, Black, Male, 0, 0, 40, United-States, <=50K.
+35, Private, 199501, Assoc-acdm, 12, Divorced, Exec-managerial, Unmarried, Black, Female, 0, 0, 50, Jamaica, <=50K.
+26, Private, 181613, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female, 0, 0, 40, United-States, <=50K.
+32, Private, 329432, Masters, 14, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+37, Private, 139180, 11th, 7, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+24, ?, 263612, HS-grad, 9, Never-married, ?, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+73, ?, 402363, Masters, 14, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 16, United-States, >50K.
+25, Private, 256545, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K.
+31, Private, 246439, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K.
+20, Private, 182615, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+26, Private, 131401, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+26, Private, 259138, 11th, 7, Married-civ-spouse, Other-service, Wife, White, Female, 2407, 0, 36, United-States, <=50K.
+43, Private, 107503, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 48, United-States, >50K.
+61, State-gov, 205482, HS-grad, 9, Married-spouse-absent, Transport-moving, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K.
+34, Private, 184833, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 4650, 0, 50, United-States, <=50K.
+43, Private, 395997, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 55, United-States, <=50K.
+33, Private, 158438, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K.
+42, Self-emp-inc, 190044, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 52, United-States, >50K.
+42, Self-emp-not-inc, 184378, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+18, Private, 118983, HS-grad, 9, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 30, United-States, <=50K.
+48, Private, 99127, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+41, Local-gov, 106982, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 52, United-States, <=50K.
+47, Private, 213668, Some-college, 10, Separated, Machine-op-inspct, Not-in-family, White, Male, 8614, 0, 65, United-States, >50K.
+50, Local-gov, 159689, Some-college, 10, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 35, United-States, <=50K.
+57, Private, 354923, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K.
+21, Private, 200207, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+28, Local-gov, 98590, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K.
+42, Private, 221947, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K.
+33, Private, 160634, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, >50K.
+53, Local-gov, 179237, 9th, 5, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+39, Private, 97771, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+17, Private, 237399, 11th, 7, Never-married, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K.
+35, Private, 276559, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 45, United-States, >50K.
+50, Private, 178251, Masters, 14, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K.
+58, Private, 145370, Bachelors, 13, Married-civ-spouse, Sales, Husband, Black, Male, 15024, 0, 50, United-States, >50K.
+21, Private, 249271, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+66, Self-emp-not-inc, 257562, 11th, 7, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+59, Federal-gov, 115842, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+21, Private, 341368, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K.
+20, ?, 172232, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 60, United-States, <=50K.
+25, Private, 67151, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K.
+21, Private, 228649, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+53, Private, 164198, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, >50K.
+64, Local-gov, 190228, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, >50K.
+19, Private, 179707, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 30, United-States, <=50K.
+59, Self-emp-inc, 132559, Doctorate, 16, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1977, 55, United-States, >50K.
+36, Private, 473547, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 30, United-States, <=50K.
+55, Self-emp-inc, 284526, 5th-6th, 3, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, Cuba, <=50K.
+20, Private, 112854, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K.
+28, Private, 271012, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K.
+34, Private, 298995, Some-college, 10, Never-married, Tech-support, Not-in-family, Black, Female, 0, 0, 50, United-States, <=50K.
+20, Never-worked, 273905, HS-grad, 9, Married-spouse-absent, ?, Other-relative, White, Male, 0, 0, 35, United-States, <=50K.
+41, Private, 172712, Bachelors, 13, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, >50K.
+33, Private, 205249, Masters, 14, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 55, ?, <=50K.
+24, Private, 375698, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, Japan, <=50K.
+42, State-gov, 355756, Some-college, 10, Divorced, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+28, Private, 147951, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 42, United-States, <=50K.
+58, Private, 156493, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 35, United-States, <=50K.
+34, Private, 215857, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 40, Mexico, <=50K.
+22, Private, 88824, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+26, Private, 242150, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K.
+30, Private, 295010, Some-college, 10, Married-civ-spouse, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, >50K.
+67, Self-emp-not-inc, 268781, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 20, United-States, >50K.
+46, Private, 360593, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Male, 4650, 0, 44, United-States, <=50K.
+35, Private, 306678, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 52, United-States, <=50K.
+42, Self-emp-inc, 377018, 11th, 7, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+24, Private, 131230, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+18, ?, 457710, 11th, 7, Never-married, ?, Own-child, White, Male, 0, 0, 16, Mexico, <=50K.
+34, Self-emp-inc, 229732, Assoc-acdm, 12, Divorced, Other-service, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+21, Private, 159879, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+49, Private, 204629, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K.
+48, Private, 46580, HS-grad, 9, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+25, Private, 471768, HS-grad, 9, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 32, United-States, <=50K.
+38, Private, 117802, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 60, United-States, >50K.
+28, Private, 175537, Some-college, 10, Separated, Adm-clerical, Unmarried, Black, Female, 0, 0, 37, United-States, <=50K.
+22, Private, 247734, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+43, Private, 190885, 7th-8th, 4, Widowed, Other-service, Unmarried, White, Female, 0, 0, 38, Mexico, <=50K.
+49, Private, 117849, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+54, Self-emp-inc, 103794, Masters, 14, Divorced, Exec-managerial, Unmarried, White, Female, 5721, 0, 35, United-States, <=50K.
+35, Self-emp-not-inc, 222450, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, Mexico, <=50K.
+36, Private, 558344, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 48, United-States, <=50K.
+18, Private, 131825, 11th, 7, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 21, United-States, <=50K.
+45, Private, 166181, HS-grad, 9, Widowed, Priv-house-serv, Own-child, Black, Female, 0, 0, 25, United-States, <=50K.
+22, Private, 179392, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+47, Local-gov, 232149, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 45, United-States, <=50K.
+23, Private, 96748, Bachelors, 13, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+36, Private, 177895, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+23, Private, 207066, 10th, 6, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K.
+53, Private, 127749, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K.
+23, Private, 216129, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+67, ?, 401273, Some-college, 10, Widowed, ?, Not-in-family, White, Female, 0, 0, 5, United-States, <=50K.
+51, Private, 245356, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 55, United-States, >50K.
+52, Private, 30846, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+47, Private, 216414, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+47, Private, 361390, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 4064, 0, 40, Italy, <=50K.
+29, Private, 255364, Some-college, 10, Divorced, Other-service, Own-child, White, Male, 594, 0, 24, United-States, <=50K.
+19, Private, 197377, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Male, 0, 0, 20, United-States, <=50K.
+66, Self-emp-not-inc, 197816, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 17, United-States, >50K.
+38, Private, 194140, Some-college, 10, Separated, Machine-op-inspct, Unmarried, Black, Male, 0, 0, 50, United-States, <=50K.
+67, ?, 110122, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 32, United-States, >50K.
+33, Private, 102130, Assoc-voc, 11, Divorced, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+51, Federal-gov, 85815, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, >50K.
+30, Private, 176064, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 55, United-States, <=50K.
+43, Private, 38946, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K.
+29, Private, 249463, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+38, Private, 175665, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+58, Private, 111385, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+56, State-gov, 165867, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+41, Private, 347890, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+43, Self-emp-inc, 49249, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+50, Private, 125417, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 65, United-States, >50K.
+73, Self-emp-not-inc, 30958, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 25, United-States, <=50K.
+45, State-gov, 191001, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 7688, 0, 40, United-States, >50K.
+18, Self-emp-not-inc, 68073, 11th, 7, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+33, Private, 233149, 12th, 8, Divorced, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+20, Private, 204596, 12th, 8, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+37, Private, 109996, 9th, 5, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female, 0, 0, 40, Hong, <=50K.
+29, Private, 251170, HS-grad, 9, Divorced, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+22, Private, 140001, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+61, State-gov, 347445, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+27, Self-emp-not-inc, 229126, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 30, United-States, <=50K.
+47, Private, 235431, Preschool, 1, Never-married, Sales, Unmarried, Black, Female, 0, 0, 40, Haiti, <=50K.
+56, Private, 209280, HS-grad, 9, Separated, Sales, Unmarried, Black, Female, 0, 0, 16, United-States, <=50K.
+26, Private, 172013, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+30, Self-emp-inc, 133876, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+60, Private, 152727, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 40, United-States, >50K.
+30, Private, 139838, 10th, 6, Separated, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+28, Private, 153885, Some-college, 10, Married-civ-spouse, Transport-moving, Wife, White, Female, 0, 0, 45, United-States, <=50K.
+64, Self-emp-not-inc, 21174, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 20, United-States, <=50K.
+32, Private, 101266, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, ?, <=50K.
+32, Private, 99548, Some-college, 10, Divorced, Handlers-cleaners, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K.
+31, Local-gov, 220669, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 6849, 0, 40, United-States, <=50K.
+36, Private, 91716, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+32, Self-emp-not-inc, 112115, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 70, United-States, >50K.
+49, Private, 220978, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 44, United-States, <=50K.
+40, Private, 121012, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+41, Private, 242804, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+51, Self-emp-not-inc, 192654, Bachelors, 13, Widowed, Exec-managerial, Unmarried, White, Male, 0, 0, 50, United-States, <=50K.
+45, Private, 111706, 1st-4th, 2, Never-married, Machine-op-inspct, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, Vietnam, <=50K.
+41, Private, 174196, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 40, United-States, <=50K.
+54, Private, 312500, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+19, Private, 39623, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K.
+36, Private, 355468, 10th, 6, Separated, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+45, State-gov, 62726, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+58, Federal-gov, 75867, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+60, ?, 76449, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+34, Private, 111567, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, >50K.
+58, Private, 112945, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+53, Private, 191389, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+42, Private, 208584, Assoc-acdm, 12, Separated, Sales, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K.
+49, Private, 99340, 5th-6th, 3, Separated, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, Dominican-Republic, <=50K.
+54, Self-emp-not-inc, 308087, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K.
+64, Private, 166843, HS-grad, 9, Widowed, Other-service, Other-relative, White, Male, 0, 0, 28, United-States, <=50K.
+62, ?, 122433, 10th, 6, Divorced, ?, Unmarried, White, Male, 0, 0, 35, United-States, <=50K.
+31, Private, 103573, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+28, Private, 264735, Masters, 14, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 50, India, <=50K.
+58, Self-emp-not-inc, 281792, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+52, Private, 184081, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, Jamaica, <=50K.
+22, Private, 381741, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+58, Private, 98630, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+25, Private, 161631, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+33, Private, 152591, Some-college, 10, Divorced, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+69, Self-emp-not-inc, 150080, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+18, Private, 278141, 11th, 7, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 35, United-States, <=50K.
+48, Self-emp-not-inc, 229328, 12th, 8, Widowed, Sales, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, South, <=50K.
+26, Private, 278916, Some-college, 10, Separated, Handlers-cleaners, Own-child, Black, Male, 0, 0, 20, United-States, <=50K.
+43, Federal-gov, 421871, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, Black, Male, 6849, 0, 50, United-States, <=50K.
+35, Private, 164193, Some-college, 10, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+33, Self-emp-not-inc, 189265, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 5, United-States, <=50K.
+52, Private, 384959, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 36, United-States, >50K.
+62, Private, 67320, HS-grad, 9, Widowed, Other-service, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K.
+50, Private, 174655, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1887, 40, United-States, >50K.
+30, Local-gov, 327203, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+25, Private, 51148, HS-grad, 9, Divorced, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K.
+19, Private, 287380, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 27, United-States, <=50K.
+58, Private, 131608, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K.
+41, Private, 122857, HS-grad, 9, Never-married, Priv-house-serv, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, ?, <=50K.
+28, Private, 259609, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 50, United-States, <=50K.
+33, Private, 104509, Bachelors, 13, Never-married, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+51, Private, 203435, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+27, Private, 148429, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+26, Private, 106950, Some-college, 10, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+19, Private, 87402, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+32, Private, 265638, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 60, United-States, <=50K.
+27, Private, 430710, HS-grad, 9, Separated, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+50, Federal-gov, 193116, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+29, Private, 94880, Some-college, 10, Married-spouse-absent, Craft-repair, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K.
+67, Private, 186427, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+53, Private, 348287, HS-grad, 9, Divorced, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K.
+58, Private, 77498, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+47, Private, 199058, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+30, Private, 156464, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 40, Germany, <=50K.
+40, Private, 202508, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 48, ?, >50K.
+45, Private, 131309, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 32, United-States, <=50K.
+41, Private, 99679, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+26, Private, 136309, Assoc-acdm, 12, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+27, Private, 294451, 11th, 7, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+44, Private, 104719, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K.
+72, Self-emp-not-inc, 207889, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+24, Private, 215890, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+34, Private, 341239, HS-grad, 9, Never-married, Transport-moving, Own-child, Black, Male, 0, 0, 40, United-States, <=50K.
+66, Self-emp-not-inc, 58326, 11th, 7, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, >50K.
+35, Private, 176544, Some-college, 10, Divorced, Sales, Not-in-family, White, Male, 0, 1741, 50, United-States, <=50K.
+37, Private, 216149, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+65, Private, 274637, 9th, 5, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 16, United-States, <=50K.
+23, Private, 163870, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, ?, <=50K.
+52, ?, 287575, HS-grad, 9, Separated, ?, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+35, Private, 268292, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 65, United-States, <=50K.
+43, Private, 343061, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, Cuba, <=50K.
+46, Local-gov, 481258, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, >50K.
+17, Private, 181129, 10th, 6, Never-married, Sales, Own-child, White, Female, 0, 0, 10, United-States, <=50K.
+18, ?, 153302, HS-grad, 9, Never-married, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+48, Private, 235891, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, Puerto-Rico, <=50K.
+33, Self-emp-not-inc, 41210, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 75, United-States, <=50K.
+31, Local-gov, 152109, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 30, United-States, <=50K.
+28, Private, 114072, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+30, Private, 83066, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 30, United-States, <=50K.
+18, Private, 110230, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 5, United-States, <=50K.
+33, Self-emp-inc, 137421, HS-grad, 9, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 45, South, <=50K.
+46, Self-emp-inc, 222829, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K.
+50, State-gov, 89652, Masters, 14, Widowed, Prof-specialty, Unmarried, White, Female, 0, 0, 60, United-States, <=50K.
+43, Self-emp-inc, 375807, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1977, 60, United-States, >50K.
+29, Private, 184224, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+18, Private, 54639, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+47, Self-emp-inc, 77764, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K.
+28, Private, 61523, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K.
+60, Self-emp-not-inc, 54614, Assoc-voc, 11, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+34, Private, 188246, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, ?, <=50K.
+25, Private, 267594, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+19, Private, 140499, HS-grad, 9, Never-married, Protective-serv, Other-relative, White, Male, 0, 0, 40, United-States, <=50K.
+35, Private, 73471, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+41, Federal-gov, 33487, Some-college, 10, Divorced, Adm-clerical, Other-relative, Amer-Indian-Eskimo, Female, 0, 0, 38, United-States, <=50K.
+23, ?, 201179, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+69, Self-emp-not-inc, 165814, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 35, United-States, <=50K.
+44, State-gov, 46221, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, >50K.
+49, Self-emp-inc, 172246, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 99999, 0, 40, United-States, >50K.
+31, Federal-gov, 148207, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 53, United-States, <=50K.
+36, Private, 389725, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 7298, 0, 40, Germany, >50K.
+33, Private, 343519, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K.
+35, Private, 67317, Assoc-acdm, 12, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+53, Self-emp-not-inc, 257728, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K.
+32, Private, 264554, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K.
+26, Private, 224567, 11th, 7, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+40, Private, 24038, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K.
+35, Private, 210945, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K.
+52, Self-emp-not-inc, 123727, HS-grad, 9, Separated, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K.
+32, ?, 78374, Bachelors, 13, Never-married, ?, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 1, United-States, <=50K.
+18, Private, 138266, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 25, United-States, <=50K.
+58, Private, 147098, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 60, United-States, >50K.
+26, Private, 211695, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+33, Self-emp-not-inc, 196480, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+39, Private, 373699, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+47, Private, 189680, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+33, Private, 342458, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+28, Private, 161155, Some-college, 10, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 48, United-States, <=50K.
+48, Local-gov, 116601, Masters, 14, Divorced, Prof-specialty, Unmarried, Asian-Pac-Islander, Female, 0, 0, 50, Nicaragua, <=50K.
+67, Self-emp-inc, 127605, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 2174, 40, United-States, >50K.
+22, Self-emp-not-inc, 47541, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K.
+62, Private, 134779, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Female, 4650, 0, 40, United-States, <=50K.
+42, Self-emp-not-inc, 177937, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+53, Private, 114758, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 20, United-States, <=50K.
+64, Local-gov, 287277, 9th, 5, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+29, Private, 173113, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+51, Private, 169785, Bachelors, 13, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female, 0, 0, 60, United-States, >50K.
+64, Self-emp-not-inc, 280508, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+24, Private, 360077, 11th, 7, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, >50K.
+47, Private, 165229, 12th, 8, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+35, Private, 282753, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+31, Private, 308812, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+64, Private, 132519, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Wife, Black, Female, 0, 0, 40, United-States, <=50K.
+38, Private, 185053, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 20, United-States, >50K.
+42, Local-gov, 261899, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K.
+46, Private, 119939, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+37, Private, 276165, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+30, Private, 361280, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K.
+33, Private, 195770, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+52, Local-gov, 289804, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+21, Private, 247115, HS-grad, 9, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 60, United-States, <=50K.
+48, Federal-gov, 50459, HS-grad, 9, Divorced, Other-service, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+22, Private, 260617, 12th, 8, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+20, Private, 155066, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 60, United-States, <=50K.
+80, Private, 227210, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 9386, 0, 40, United-States, >50K.
+47, Local-gov, 47270, Assoc-acdm, 12, Separated, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+35, Private, 111128, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 65, United-States, >50K.
+37, Private, 119929, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K.
+73, Private, 157248, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K.
+45, Private, 174386, HS-grad, 9, Never-married, Other-service, Other-relative, White, Female, 0, 0, 30, United-States, <=50K.
+34, Private, 21755, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, Amer-Indian-Eskimo, Male, 0, 0, 63, United-States, <=50K.
+35, Private, 261646, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+41, Private, 590204, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 15024, 0, 40, United-States, >50K.
+36, Private, 679853, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, Dominican-Republic, <=50K.
+40, Private, 144928, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 7298, 0, 40, United-States, >50K.
+26, ?, 88513, Bachelors, 13, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+27, Private, 110663, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+52, Self-emp-not-inc, 182187, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, Haiti, >50K.
+45, Private, 160703, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K.
+39, Private, 279323, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+30, Private, 131425, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+38, Private, 180288, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 1977, 60, United-States, >50K.
+43, Self-emp-inc, 123490, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+20, Private, 421474, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K.
+38, Private, 100079, Doctorate, 16, Married-spouse-absent, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 27828, 0, 60, China, >50K.
+30, Private, 95639, 11th, 7, Never-married, Handlers-cleaners, Other-relative, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K.
+30, Private, 169002, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+59, Self-emp-not-inc, 49893, HS-grad, 9, Widowed, Craft-repair, Not-in-family, White, Male, 0, 0, 24, United-States, <=50K.
+30, Federal-gov, 234994, Some-college, 10, Divorced, Exec-managerial, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+43, Self-emp-inc, 137232, Bachelors, 13, Married-spouse-absent, Sales, Unmarried, White, Female, 0, 0, 42, United-States, <=50K.
+49, Self-emp-not-inc, 27067, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K.
+40, Private, 193385, Prof-school, 15, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female, 0, 0, 40, China, <=50K.
+34, Private, 181372, 11th, 7, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 23, United-States, <=50K.
+47, Private, 189143, HS-grad, 9, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+57, Self-emp-not-inc, 115422, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 3137, 0, 40, United-States, <=50K.
+64, Self-emp-not-inc, 163510, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2415, 50, United-States, >50K.
+35, Private, 241998, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K.
+39, Private, 106838, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 4386, 0, 45, United-States, >50K.
+90, ?, 50746, 10th, 6, Divorced, ?, Not-in-family, White, Female, 0, 0, 7, United-States, <=50K.
+30, Local-gov, 325658, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+71, Private, 244688, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 6514, 0, 40, United-States, >50K.
+29, Private, 244721, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+40, Private, 170721, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K.
+39, Private, 105803, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+53, Private, 152810, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+50, Private, 138944, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+50, Private, 392668, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 4386, 0, 40, United-States, <=50K.
+28, Private, 192257, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, Japan, <=50K.
+79, ?, 23275, 10th, 6, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 20, United-States, <=50K.
+70, Self-emp-inc, 46577, Bachelors, 13, Widowed, Farming-fishing, Unmarried, White, Female, 0, 0, 6, United-States, <=50K.
+44, Private, 174325, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+41, Local-gov, 307767, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+27, Private, 192698, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+19, Private, 443809, HS-grad, 9, Never-married, Other-service, Other-relative, White, Male, 0, 0, 30, United-States, <=50K.
+18, Private, 218100, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K.
+37, Private, 516701, Masters, 14, Never-married, Exec-managerial, Not-in-family, Black, Male, 0, 1564, 50, ?, >50K.
+20, Private, 123173, Some-college, 10, Never-married, Sales, Own-child, Black, Female, 0, 0, 15, United-States, <=50K.
+33, Private, 241697, Some-college, 10, Married-spouse-absent, Sales, Unmarried, Amer-Indian-Eskimo, Male, 0, 1602, 40, United-States, <=50K.
+53, Self-emp-inc, 233149, Assoc-acdm, 12, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, >50K.
+56, Private, 357939, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+18, Private, 73928, HS-grad, 9, Never-married, Sales, Own-child, Asian-Pac-Islander, Female, 0, 0, 20, United-States, <=50K.
+54, State-gov, 88528, Masters, 14, Never-married, Prof-specialty, Unmarried, White, Female, 0, 0, 37, United-States, <=50K.
+40, Private, 245073, 7th-8th, 4, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K.
+45, Private, 148824, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K.
+27, Private, 106276, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+48, Private, 185039, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+35, Private, 210310, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K.
+27, Private, 150767, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 48, United-States, <=50K.
+72, ?, 31327, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 20, United-States, >50K.
+27, Private, 30237, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 45, United-States, <=50K.
+22, Private, 264765, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 10, United-States, <=50K.
+29, Private, 148069, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+34, ?, 41493, Bachelors, 13, Divorced, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+51, Self-emp-not-inc, 168539, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 84, United-States, <=50K.
+54, ?, 108233, Assoc-acdm, 12, Separated, ?, Not-in-family, Black, Female, 0, 0, 20, United-States, <=50K.
+25, State-gov, 66692, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+35, Private, 122747, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K.
+36, Self-emp-inc, 176289, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+57, Private, 238017, HS-grad, 9, Widowed, Tech-support, Not-in-family, Black, Female, 0, 0, 54, United-States, <=50K.
+28, Private, 41099, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+34, Private, 190151, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 42, United-States, <=50K.
+58, Private, 109159, HS-grad, 9, Widowed, Tech-support, Unmarried, White, Female, 0, 0, 38, United-States, <=50K.
+37, Local-gov, 176949, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 55, United-States, >50K.
+61, Private, 293899, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+48, Private, 168262, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 25, United-States, >50K.
+64, Private, 208862, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 15, United-States, <=50K.
+50, Private, 69477, 10th, 6, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+34, Private, 443546, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, Germany, <=50K.
+21, ?, 202989, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 80, United-States, <=50K.
+59, Self-emp-not-inc, 49996, HS-grad, 9, Widowed, Other-service, Not-in-family, Black, Female, 0, 0, 20, United-States, <=50K.
+75, State-gov, 220618, Some-college, 10, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 10, United-States, <=50K.
+30, Private, 127875, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+26, Private, 217517, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Husband, White, Male, 2885, 0, 40, United-States, <=50K.
+20, Private, 162151, HS-grad, 9, Never-married, Sales, Own-child, Black, Female, 0, 0, 20, United-States, <=50K.
+53, Federal-gov, 314871, Some-college, 10, Separated, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K.
+48, Local-gov, 193960, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 50, United-States, >50K.
+33, Private, 198103, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+47, State-gov, 106466, Some-college, 10, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+51, Private, 122109, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 50, United-States, <=50K.
+54, Private, 254152, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+51, Private, 249449, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K.
+47, Private, 184169, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K.
+34, Self-emp-inc, 156192, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K.
+31, Self-emp-not-inc, 175509, HS-grad, 9, Divorced, Tech-support, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K.
+42, Private, 297266, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 90, United-States, >50K.
+24, Private, 188073, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K.
+18, ?, 221312, Some-college, 10, Never-married, ?, Other-relative, White, Male, 0, 0, 40, United-States, <=50K.
+79, Private, 121552, 7th-8th, 4, Widowed, Other-service, Unmarried, Black, Male, 0, 0, 5, United-States, <=50K.
+38, Private, 177134, HS-grad, 9, Married-civ-spouse, Sales, Wife, Black, Female, 0, 0, 40, United-States, <=50K.
+67, Private, 127921, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 9386, 0, 40, United-States, >50K.
+25, Private, 210794, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+47, Private, 149366, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Peru, <=50K.
+25, Private, 214303, HS-grad, 9, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 20, ?, <=50K.
+24, ?, 205940, 9th, 5, Never-married, ?, Own-child, White, Female, 0, 0, 30, United-States, <=50K.
+24, ?, 43535, Some-college, 10, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 30, United-States, <=50K.
+47, Private, 158924, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K.
+46, Private, 270437, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+26, Private, 266505, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 5013, 0, 38, United-States, <=50K.
+32, Private, 37070, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, Japan, <=50K.
+26, Federal-gov, 56419, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 20, South, <=50K.
+52, Private, 389270, Assoc-voc, 11, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K.
+61, Private, 205266, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+46, Federal-gov, 104575, Assoc-voc, 11, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+41, Self-emp-not-inc, 99220, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+48, Private, 178313, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+41, Local-gov, 103614, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K.
+47, Private, 114882, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+33, Private, 186977, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, Columbia, <=50K.
+22, Private, 208893, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 10, United-States, <=50K.
+57, Self-emp-inc, 84231, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 1977, 50, United-States, >50K.
+20, Private, 129240, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 30, United-States, <=50K.
+64, Private, 113061, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+36, Private, 243409, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+18, ?, 28132, 12th, 8, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+40, Private, 77975, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+28, ?, 241580, HS-grad, 9, Divorced, ?, Unmarried, White, Female, 0, 0, 55, United-States, <=50K.
+40, Private, 165599, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 4064, 0, 40, United-States, <=50K.
+31, Private, 85374, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K.
+32, Self-emp-not-inc, 45604, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 70, United-States, <=50K.
+42, Private, 109501, 5th-6th, 3, Separated, Handlers-cleaners, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+22, ?, 289405, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+25, Private, 75759, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 3325, 0, 40, United-States, <=50K.
+27, Private, 144808, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K.
+21, ?, 231511, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+47, Private, 155890, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 40, United-States, >50K.
+56, Self-emp-not-inc, 108496, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+31, Private, 101562, Some-college, 10, Divorced, Other-service, Own-child, White, Female, 0, 0, 35, United-States, <=50K.
+29, Private, 116372, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 50, United-States, >50K.
+17, Private, 58037, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+38, Private, 339025, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Asian-Pac-Islander, Male, 0, 1579, 40, Vietnam, <=50K.
+31, Private, 117659, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K.
+23, Private, 372898, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+24, Private, 199426, Bachelors, 13, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K.
+25, Private, 36023, HS-grad, 9, Married-spouse-absent, Transport-moving, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K.
+64, ?, 186535, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 3103, 0, 3, United-States, <=50K.
+44, Private, 57600, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 38, United-States, <=50K.
+48, Private, 369522, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K.
+35, Private, 28572, 11th, 7, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+35, Private, 215323, Bachelors, 13, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+38, Private, 81846, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, China, <=50K.
+68, Private, 535762, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 1844, 10, United-States, <=50K.
+59, Private, 239405, HS-grad, 9, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 35, Jamaica, <=50K.
+43, Local-gov, 43998, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 50, United-States, <=50K.
+28, Private, 408417, Some-college, 10, Never-married, Sales, Own-child, Black, Male, 0, 0, 40, United-States, <=50K.
+50, Self-emp-not-inc, 43705, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+45, Private, 176841, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, El-Salvador, <=50K.
+17, Private, 120676, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 16, United-States, <=50K.
+44, Local-gov, 207685, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 8614, 0, 33, United-States, >50K.
+26, Private, 157708, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+27, Private, 126349, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 49, United-States, <=50K.
+40, Private, 277647, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 35, United-States, >50K.
+45, Private, 174426, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 43, United-States, <=50K.
+43, Self-emp-not-inc, 37869, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 40, United-States, >50K.
+28, Private, 150025, Some-college, 10, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, Peru, <=50K.
+54, Self-emp-not-inc, 155496, Some-college, 10, Never-married, Other-service, Unmarried, White, Female, 2176, 0, 40, United-States, <=50K.
+43, Private, 174748, Bachelors, 13, Divorced, Exec-managerial, Unmarried, Black, Female, 7430, 0, 45, United-States, >50K.
+40, Self-emp-inc, 140915, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, Other, Male, 0, 0, 40, France, >50K.
+19, Private, 187161, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 18, United-States, <=50K.
+24, Private, 181820, Some-college, 10, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+20, Private, 438321, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+55, Private, 342121, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 54, United-States, <=50K.
+39, Private, 135162, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+22, Private, 289448, Assoc-acdm, 12, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female, 0, 2205, 30, Philippines, <=50K.
+44, Self-emp-not-inc, 157237, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 50, United-States, >50K.
+30, Private, 184542, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+74, Private, 70234, HS-grad, 9, Widowed, Sales, Unmarried, White, Female, 0, 0, 26, United-States, <=50K.
+30, Private, 170412, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+31, Private, 171184, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, Dominican-Republic, <=50K.
+56, ?, 141076, HS-grad, 9, Divorced, ?, Not-in-family, Black, Female, 3674, 0, 40, United-States, <=50K.
+59, Private, 168145, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+24, Private, 172594, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+21, Private, 133582, 5th-6th, 3, Never-married, Farming-fishing, Not-in-family, White, Male, 2176, 0, 36, Mexico, <=50K.
+51, Private, 214840, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, >50K.
+20, ?, 301408, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 1602, 30, United-States, <=50K.
+33, Private, 97723, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1672, 40, United-States, <=50K.
+51, Self-emp-not-inc, 318351, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 30, Canada, >50K.
+20, Private, 69911, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 15, United-States, <=50K.
+59, Private, 200316, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+31, Local-gov, 265426, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 30, United-States, <=50K.
+39, Private, 66687, Some-college, 10, Separated, Craft-repair, Unmarried, White, Male, 0, 0, 45, United-States, <=50K.
+31, Private, 107417, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+46, ?, 140782, HS-grad, 9, Separated, ?, Own-child, White, Female, 0, 0, 36, United-States, <=50K.
+23, ?, 212210, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 15, United-States, <=50K.
+57, Private, 144012, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+67, ?, 40021, Doctorate, 16, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+35, Self-emp-not-inc, 228493, 1st-4th, 2, Married-civ-spouse, Exec-managerial, Husband, White, Male, 4386, 0, 65, Mexico, <=50K.
+40, State-gov, 114714, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Taiwan, >50K.
+17, Private, 188758, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K.
+34, Private, 176862, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+33, Local-gov, 107793, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K.
+47, Self-emp-not-inc, 333052, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 5, United-States, <=50K.
+49, Private, 175958, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 46, United-States, >50K.
+24, Private, 125012, Bachelors, 13, Married-spouse-absent, Adm-clerical, Own-child, Black, Female, 0, 0, 20, United-States, <=50K.
+28, Private, 135296, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+30, Local-gov, 31171, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 1590, 40, United-States, <=50K.
+31, Private, 103860, 10th, 6, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+40, Private, 90582, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+46, Private, 216292, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+54, Local-gov, 188588, 5th-6th, 3, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 2001, 35, United-States, <=50K.
+27, ?, 173178, Some-college, 10, Never-married, ?, Not-in-family, Black, Male, 0, 0, 36, United-States, <=50K.
+50, Self-emp-inc, 193720, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1672, 48, United-States, <=50K.
+35, Private, 218542, 9th, 5, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+44, Private, 138845, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+46, State-gov, 86837, Some-college, 10, Married-spouse-absent, Adm-clerical, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 50, Philippines, <=50K.
+22, State-gov, 125010, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+38, Private, 50149, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K.
+46, Private, 241350, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 8614, 0, 50, United-States, >50K.
+81, Private, 39895, 7th-8th, 4, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 2, United-States, <=50K.
+36, Self-emp-not-inc, 258289, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 35, United-States, <=50K.
+28, Self-emp-not-inc, 183151, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+58, ?, 228614, 7th-8th, 4, Married-civ-spouse, ?, Husband, Black, Male, 0, 0, 35, United-States, <=50K.
+51, Private, 192236, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 3464, 0, 48, United-States, <=50K.
+37, ?, 161664, Some-college, 10, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 60, United-States, <=50K.
+45, Private, 105381, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+40, Private, 235786, HS-grad, 9, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+44, Private, 118947, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 44, United-States, >50K.
+35, Private, 168817, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+34, Private, 24361, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+25, Private, 321223, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K.
+66, Private, 146810, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 24, United-States, <=50K.
+30, Local-gov, 94041, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 3325, 0, 35, United-States, <=50K.
+40, Self-emp-not-inc, 814850, 9th, 5, Divorced, Other-service, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 20, United-States, <=50K.
+43, Private, 331649, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+43, Private, 209894, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 38, United-States, <=50K.
+44, Private, 229954, Assoc-acdm, 12, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+48, Private, 287547, Some-college, 10, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+42, Private, 184018, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K.
+25, Private, 332409, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+33, Local-gov, 113364, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+28, State-gov, 134813, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 65, United-States, >50K.
+24, Private, 273049, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K.
+29, Private, 334277, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+51, State-gov, 196395, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 60, United-States, >50K.
+47, Private, 138069, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+45, Private, 358259, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+36, Private, 362067, Assoc-voc, 11, Separated, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+54, Private, 209947, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 42, United-States, <=50K.
+23, Private, 122244, Some-college, 10, Never-married, Tech-support, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+36, Private, 116546, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+44, Private, 213934, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 2829, 0, 42, United-States, <=50K.
+27, Local-gov, 24988, Assoc-voc, 11, Never-married, Tech-support, Not-in-family, White, Female, 0, 1564, 72, United-States, >50K.
+53, Private, 157229, Assoc-acdm, 12, Married-civ-spouse, Sales, Wife, Asian-Pac-Islander, Female, 0, 0, 40, India, <=50K.
+30, Private, 162442, Some-college, 10, Never-married, Craft-repair, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+67, Federal-gov, 231604, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, >50K.
+24, Private, 187031, Masters, 14, Never-married, Sales, Unmarried, Black, Female, 0, 0, 38, United-States, <=50K.
+33, Private, 172714, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+29, Self-emp-not-inc, 198286, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+51, Self-emp-not-inc, 220001, Bachelors, 13, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+44, Private, 262656, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Male, 0, 0, 32, United-States, <=50K.
+27, Private, 203776, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+36, Private, 193815, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K.
+57, Local-gov, 173242, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K.
+43, Private, 108126, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 1762, 24, United-States, <=50K.
+62, Private, 199021, HS-grad, 9, Married-spouse-absent, Craft-repair, Not-in-family, White, Male, 0, 0, 54, United-States, <=50K.
+53, Private, 92968, Assoc-acdm, 12, Separated, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+44, Private, 173682, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+44, Local-gov, 277533, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K.
+22, Private, 90896, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+57, Self-emp-inc, 212600, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 40, United-States, >50K.
+52, Private, 261671, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Vietnam, <=50K.
+66, Private, 86321, HS-grad, 9, Widowed, Transport-moving, Not-in-family, White, Male, 0, 0, 22, United-States, <=50K.
+37, Self-emp-not-inc, 119992, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 99, United-States, <=50K.
+33, Private, 427812, 9th, 5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Puerto-Rico, <=50K.
+34, Private, 55849, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 50, United-States, >50K.
+23, Private, 271354, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1902, 50, United-States, >50K.
+36, Private, 131239, HS-grad, 9, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K.
+50, State-gov, 139157, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 60, United-States, >50K.
+39, State-gov, 305541, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 55, United-States, <=50K.
+50, Private, 151159, Assoc-voc, 11, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 55, United-States, <=50K.
+23, Private, 84726, Assoc-acdm, 12, Married-civ-spouse, Farming-fishing, Wife, White, Female, 0, 0, 45, Germany, <=50K.
+47, ?, 175530, 5th-6th, 3, Separated, ?, Own-child, White, Female, 0, 0, 56, Mexico, <=50K.
+39, Local-gov, 364782, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K.
+43, Private, 137304, Bachelors, 13, Married-civ-spouse, Tech-support, Wife, Black, Female, 0, 0, 40, United-States, >50K.
+23, Private, 197613, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+44, Self-emp-inc, 171615, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K.
+57, Self-emp-not-inc, 105824, 11th, 7, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 99, United-States, <=50K.
+47, Local-gov, 250745, HS-grad, 9, Divorced, Other-service, Own-child, White, Female, 0, 0, 32, United-States, <=50K.
+28, Private, 352451, 7th-8th, 4, Separated, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+17, Private, 123947, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 15, United-States, <=50K.
+43, Private, 178983, Masters, 14, Separated, Sales, Unmarried, White, Female, 6497, 0, 50, United-States, <=50K.
+47, Private, 101299, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+53, Self-emp-inc, 124993, 10th, 6, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+26, Private, 178478, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+46, Private, 67001, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+20, Private, 97295, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K.
+48, Local-gov, 169515, Bachelors, 13, Divorced, Protective-serv, Not-in-family, Black, Female, 0, 0, 43, United-States, >50K.
+49, Private, 121253, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 1564, 40, United-States, >50K.
+52, Federal-gov, 35546, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+35, Private, 111635, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+51, Private, 207419, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K.
+31, Private, 143083, Masters, 14, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K.
+42, Self-emp-not-inc, 248094, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+41, Private, 170685, Some-college, 10, Divorced, Sales, Unmarried, White, Male, 0, 0, 46, United-States, <=50K.
+46, Private, 116143, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+25, Private, 223426, Assoc-voc, 11, Never-married, Sales, Not-in-family, White, Male, 0, 0, 65, Canada, >50K.
+23, Private, 370548, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 27, United-States, <=50K.
+43, Private, 245525, Bachelors, 13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 38, United-States, <=50K.
+41, Private, 408229, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 15, United-States, <=50K.
+29, Local-gov, 181434, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 40, United-States, >50K.
+27, Private, 213225, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 7298, 0, 45, England, >50K.
+24, Private, 199915, Bachelors, 13, Never-married, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K.
+44, Local-gov, 143104, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 38, United-States, >50K.
+31, Private, 874728, HS-grad, 9, Never-married, Adm-clerical, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K.
+43, Private, 27661, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+41, Local-gov, 216116, HS-grad, 9, Divorced, Protective-serv, Unmarried, Black, Female, 0, 0, 40, United-States, >50K.
+43, Private, 193882, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+50, Self-emp-not-inc, 98180, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 99999, 0, 45, United-States, >50K.
+70, Self-emp-not-inc, 92353, 11th, 7, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+78, Self-emp-not-inc, 184762, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 3471, 0, 50, United-States, <=50K.
+21, ?, 148294, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+26, Private, 128777, Some-college, 10, Never-married, Sales, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K.
+73, Private, 108098, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K.
+47, Private, 233511, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+39, Private, 223792, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K.
+61, Private, 43904, HS-grad, 9, Divorced, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+45, Private, 239864, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+47, Private, 159075, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+38, Self-emp-not-inc, 103474, Bachelors, 13, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+21, Private, 90896, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+46, Private, 145290, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K.
+23, Private, 155818, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+28, Self-emp-not-inc, 35864, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Other, Male, 0, 0, 70, Iran, >50K.
+18, Private, 394954, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+50, State-gov, 34637, 9th, 5, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2002, 40, United-States, <=50K.
+34, Private, 38223, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+30, Private, 352105, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K.
+53, Private, 291096, 1st-4th, 2, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+63, Self-emp-not-inc, 144391, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 20, United-States, <=50K.
+62, Private, 44013, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+28, Private, 134890, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+39, Self-emp-not-inc, 497525, 10th, 6, Separated, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+28, Private, 195520, Some-college, 10, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 20, United-States, <=50K.
+44, Self-emp-not-inc, 35166, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 75, United-States, <=50K.
+26, Private, 180514, Bachelors, 13, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+32, Private, 262153, 11th, 7, Married-spouse-absent, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+39, Local-gov, 91039, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+70, ?, 30140, 9th, 5, Never-married, ?, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+27, Private, 125791, Bachelors, 13, Never-married, Prof-specialty, Other-relative, White, Female, 0, 0, 15, United-States, <=50K.
+31, Private, 337505, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Japan, <=50K.
+61, Private, 258775, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 4386, 0, 40, United-States, >50K.
+32, Private, 153152, 10th, 6, Married-civ-spouse, Other-service, Husband, White, Male, 0, 2051, 38, United-States, <=50K.
+21, ?, 120998, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+24, Self-emp-not-inc, 434102, 11th, 7, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 3, United-States, <=50K.
+39, Private, 342768, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K.
+29, Private, 160786, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 46, United-States, <=50K.
+52, Private, 279440, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 5178, 0, 40, United-States, >50K.
+26, Self-emp-not-inc, 67240, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K.
+30, Private, 196963, Assoc-acdm, 12, Never-married, Tech-support, Own-child, White, Female, 0, 0, 15, United-States, <=50K.
+70, Private, 115239, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 30, United-States, <=50K.
+29, Private, 133937, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 30, United-States, <=50K.
+32, Private, 31714, Some-college, 10, Divorced, Adm-clerical, Other-relative, White, Female, 4865, 0, 40, United-States, <=50K.
+32, Private, 347623, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+58, Private, 174848, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+75, Self-emp-not-inc, 106873, 11th, 7, Widowed, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+37, Private, 49687, Bachelors, 13, Divorced, Craft-repair, Not-in-family, White, Male, 0, 1980, 40, United-States, <=50K.
+39, Private, 256294, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+66, State-gov, 33155, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K.
+46, Private, 131939, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+49, Local-gov, 95256, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 42, United-States, >50K.
+32, Private, 198901, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+20, Private, 177287, HS-grad, 9, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+44, Private, 144925, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Male, 3325, 0, 40, United-States, <=50K.
+42, Private, 188243, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, >50K.
+34, Self-emp-not-inc, 198068, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+37, Private, 116960, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K.
+22, Private, 172496, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, Poland, <=50K.
+21, ?, 399449, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+33, Private, 251990, HS-grad, 9, Separated, Adm-clerical, Not-in-family, Other, Male, 0, 0, 37, United-States, <=50K.
+54, Federal-gov, 28683, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 4386, 0, 41, United-States, >50K.
+36, Private, 109133, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K.
+36, Private, 24504, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+44, Private, 201495, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 50, United-States, >50K.
+49, Private, 187634, Bachelors, 13, Divorced, Sales, Not-in-family, White, Female, 0, 0, 50, United-States, >50K.
+40, Private, 77391, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+49, Self-emp-not-inc, 36601, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Canada, >50K.
+31, Self-emp-not-inc, 197193, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 27, United-States, <=50K.
+81, Self-emp-not-inc, 184762, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 25, Greece, <=50K.
+40, Private, 200671, HS-grad, 9, Divorced, Machine-op-inspct, Own-child, Black, Male, 0, 0, 40, United-States, <=50K.
+47, Private, 186539, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 10, United-States, <=50K.
+39, Private, 199816, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K.
+42, Private, 171351, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+29, Private, 119793, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Portugal, >50K.
+40, Local-gov, 38876, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 48, United-States, <=50K.
+28, Private, 145242, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 4386, 0, 20, United-States, >50K.
+19, ?, 292774, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+32, State-gov, 217251, Assoc-voc, 11, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 43, United-States, <=50K.
+35, Private, 195253, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+35, ?, 139854, Assoc-acdm, 12, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 15, United-States, <=50K.
+52, State-gov, 145072, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+17, Private, 108085, 12th, 8, Never-married, Other-service, Own-child, White, Female, 0, 0, 24, United-States, <=50K.
+23, Private, 72055, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+76, Private, 82628, 7th-8th, 4, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+41, Self-emp-not-inc, 49156, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K.
+46, Private, 187666, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 55, United-States, <=50K.
+49, Self-emp-not-inc, 225456, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K.
+60, Federal-gov, 286253, HS-grad, 9, Married-spouse-absent, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+65, ?, 168548, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+62, Private, 190384, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 37, United-States, <=50K.
+46, Federal-gov, 362835, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, Germany, >50K.
+50, Private, 243322, HS-grad, 9, Married-spouse-absent, Transport-moving, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+39, Private, 49105, Assoc-voc, 11, Separated, Adm-clerical, Own-child, White, Female, 594, 0, 40, United-States, <=50K.
+20, Private, 72520, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K.
+38, Private, 200352, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+56, Private, 146660, HS-grad, 9, Divorced, Handlers-cleaners, Unmarried, White, Male, 0, 0, 10, United-States, <=50K.
+30, Self-emp-not-inc, 247328, Assoc-voc, 11, Separated, Sales, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K.
+41, Private, 304605, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Canada, >50K.
+29, Private, 309778, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+43, Private, 248476, Bachelors, 13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+28, Private, 129624, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, Cambodia, <=50K.
+30, Private, 97723, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, >50K.
+19, Private, 143404, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 30, United-States, <=50K.
+56, Private, 127264, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 34, United-States, <=50K.
+28, Private, 179191, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K.
+23, Private, 230824, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K.
+34, Private, 410615, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K.
+43, Private, 224998, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 1977, 40, United-States, >50K.
+60, Self-emp-not-inc, 54553, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 20, United-States, <=50K.
+43, Local-gov, 225165, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+60, Self-emp-inc, 75257, HS-grad, 9, Married-civ-spouse, Craft-repair, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+42, Private, 33155, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 85, United-States, <=50K.
+32, Local-gov, 450141, Some-college, 10, Divorced, Protective-serv, Not-in-family, White, Male, 0, 1408, 40, United-States, <=50K.
+31, Private, 441949, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, Mexico, >50K.
+25, Private, 131341, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 36, Cuba, <=50K.
+25, Private, 227548, 12th, 8, Married-civ-spouse, Other-service, Husband, Black, Male, 3103, 0, 40, United-States, <=50K.
+41, Self-emp-inc, 38876, Assoc-acdm, 12, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 1977, 50, United-States, >50K.
+26, Private, 143756, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+45, Local-gov, 308275, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 7688, 0, 65, United-States, >50K.
+35, Private, 173586, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K.
+21, Private, 196074, 9th, 5, Never-married, Other-service, Other-relative, White, Male, 0, 0, 40, United-States, <=50K.
+39, Federal-gov, 178877, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K.
+22, Private, 285580, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 45, United-States, <=50K.
+66, Self-emp-not-inc, 219220, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 2290, 0, 40, Germany, <=50K.
+32, Federal-gov, 228696, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Male, 0, 0, 40, Mexico, <=50K.
+39, Private, 185405, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+41, Self-emp-inc, 240124, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+26, ?, 96130, HS-grad, 9, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, England, <=50K.
+31, Private, 329172, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+27, Private, 147280, 11th, 7, Never-married, Other-service, Own-child, Other, Male, 0, 0, 40, United-States, <=50K.
+34, Private, 197252, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K.
+43, State-gov, 118544, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+56, Private, 183169, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 35, United-States, <=50K.
+34, Private, 205810, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Wife, Black, Female, 0, 1672, 40, United-States, <=50K.
+23, Private, 132556, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+29, Private, 438429, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+34, Private, 104293, Assoc-acdm, 12, Never-married, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+37, Private, 506830, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K.
+42, Private, 56072, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K.
+51, Local-gov, 164300, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 40, Puerto-Rico, <=50K.
+34, Private, 274577, HS-grad, 9, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+60, Self-emp-not-inc, 36568, 9th, 5, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 70, United-States, <=50K.
+41, Private, 223548, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, Mexico, <=50K.
+27, Local-gov, 478277, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+46, Private, 254672, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Female, 2354, 0, 40, United-States, <=50K.
+22, Private, 171538, HS-grad, 9, Divorced, Other-service, Own-child, White, Female, 0, 0, 35, United-States, <=50K.
+17, ?, 220302, 10th, 6, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+18, Private, 87135, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 15, United-States, <=50K.
+46, Self-emp-not-inc, 138626, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+40, Private, 179069, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K.
+24, Private, 88824, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+28, Self-emp-not-inc, 159623, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 30, United-States, <=50K.
+67, ?, 350525, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 15, United-States, >50K.
+53, Self-emp-not-inc, 276369, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 99, United-States, <=50K.
+25, Private, 96862, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 65, United-States, <=50K.
+18, Private, 245486, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+64, Local-gov, 209899, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 35, United-States, <=50K.
+45, Private, 306122, Bachelors, 13, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 44, United-States, >50K.
+32, Private, 240763, 11th, 7, Divorced, Transport-moving, Own-child, Black, Male, 0, 0, 45, United-States, <=50K.
+30, Private, 323069, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K.
+35, Private, 179579, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+46, ?, 162034, Some-college, 10, Divorced, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+19, Private, 291181, HS-grad, 9, Never-married, Sales, Other-relative, White, Female, 0, 0, 28, Mexico, <=50K.
+31, Private, 356823, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Female, 10520, 0, 40, United-States, >50K.
+39, Private, 312271, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+33, Private, 182714, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+25, Private, 184569, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 45, United-States, <=50K.
+55, Private, 129762, HS-grad, 9, Divorced, Other-service, Other-relative, White, Female, 0, 0, 40, Scotland, <=50K.
+23, Private, 216867, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+45, Self-emp-not-inc, 155489, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 65, United-States, <=50K.
+42, Private, 256179, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female, 0, 0, 48, United-States, >50K.
+65, Private, 51063, 10th, 6, Divorced, Other-service, Not-in-family, Black, Male, 0, 0, 64, United-States, <=50K.
+37, State-gov, 164898, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+28, Private, 202206, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, Puerto-Rico, <=50K.
+48, Private, 115358, 7th-8th, 4, Married-civ-spouse, Priv-house-serv, Wife, Black, Female, 0, 0, 15, United-States, <=50K.
+43, Local-gov, 343068, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 65, United-States, <=50K.
+44, Private, 152908, HS-grad, 9, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K.
+58, Local-gov, 217802, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 7688, 0, 45, United-States, >50K.
+70, Self-emp-not-inc, 380498, Bachelors, 13, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K.
+28, Local-gov, 257124, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K.
+46, Local-gov, 313635, Prof-school, 15, Separated, Prof-specialty, Not-in-family, Black, Male, 4650, 0, 40, United-States, <=50K.
+33, Private, 168906, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 55, United-States, <=50K.
+35, Local-gov, 99146, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+18, Private, 190325, 11th, 7, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+29, Private, 272715, 10th, 6, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K.
+29, Private, 118598, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+59, Private, 97213, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, >50K.
+29, Private, 39388, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+22, Private, 190916, 11th, 7, Divorced, Sales, Other-relative, White, Female, 0, 0, 25, United-States, <=50K.
+34, Private, 61308, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+30, Private, 27856, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+54, State-gov, 151580, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 40, United-States, >50K.
+38, Private, 248011, 11th, 7, Divorced, Transport-moving, Unmarried, White, Male, 0, 0, 55, United-States, <=50K.
+44, Private, 188615, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K.
+30, Private, 62932, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 60, United-States, <=50K.
+28, Private, 32510, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 15, United-States, <=50K.
+60, ?, 155977, Some-college, 10, Widowed, ?, Unmarried, Black, Female, 0, 0, 54, United-States, <=50K.
+57, Federal-gov, 250873, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+38, Private, 257942, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K.
+43, Private, 334141, 7th-8th, 4, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+22, ?, 144210, 11th, 7, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 20, United-States, <=50K.
+34, Private, 87535, Doctorate, 16, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+46, Private, 222011, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+44, Private, 33895, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+23, Private, 168997, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+50, Local-gov, 163576, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, >50K.
+72, Private, 98035, 7th-8th, 4, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 20, United-States, <=50K.
+20, ?, 41356, Assoc-voc, 11, Never-married, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+24, Private, 245361, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+35, Private, 109133, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, ?, <=50K.
+62, ?, 111563, 9th, 5, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 21, United-States, <=50K.
+75, Self-emp-not-inc, 124256, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2149, 35, United-States, <=50K.
+21, ?, 227521, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 15, United-States, <=50K.
+60, Self-emp-not-inc, 197060, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 30, United-States, <=50K.
+18, Private, 332125, HS-grad, 9, Never-married, Machine-op-inspct, Other-relative, White, Male, 2176, 0, 25, United-States, <=50K.
+19, Private, 348867, HS-grad, 9, Never-married, Sales, Other-relative, Black, Female, 0, 0, 15, United-States, <=50K.
+31, Self-emp-inc, 118584, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+36, Self-emp-not-inc, 110622, Bachelors, 13, Divorced, Sales, Unmarried, Asian-Pac-Islander, Female, 0, 0, 8, South, <=50K.
+24, Private, 43535, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K.
+62, Private, 84784, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Male, 0, 1741, 40, United-States, <=50K.
+25, Private, 266600, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 3137, 0, 40, United-States, <=50K.
+28, Private, 106935, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K.
+56, Private, 265518, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+38, Private, 289653, Assoc-voc, 11, Widowed, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+32, Private, 340917, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1848, 60, ?, >50K.
+41, Private, 56651, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+33, Private, 374833, 1st-4th, 2, Married-spouse-absent, Farming-fishing, Unmarried, White, Male, 0, 0, 40, Mexico, <=50K.
+38, Private, 210198, HS-grad, 9, Never-married, Sales, Unmarried, White, Female, 0, 0, 30, United-States, <=50K.
+44, Private, 240448, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+20, Private, 206869, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 30, United-States, <=50K.
+72, Self-emp-inc, 149689, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 20051, 0, 48, United-States, >50K.
+72, Private, 75594, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 2653, 0, 40, United-States, <=50K.
+37, Private, 110331, Prof-school, 15, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 60, United-States, >50K.
+54, Private, 353787, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K.
+48, Private, 142909, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+40, Private, 54102, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K.
+36, Self-emp-inc, 339116, Assoc-voc, 11, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, ?, <=50K.
+60, ?, 50783, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+35, Private, 415500, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+41, Private, 79586, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 60, China, >50K.
+52, Private, 142757, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 56, United-States, >50K.
+37, Private, 91716, HS-grad, 9, Divorced, Sales, Unmarried, White, Male, 0, 0, 75, United-States, <=50K.
+22, Private, 376393, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 30, United-States, <=50K.
+59, Private, 129762, Some-college, 10, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, Scotland, <=50K.
+34, Private, 293017, Some-college, 10, Never-married, Tech-support, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+42, Self-emp-not-inc, 54583, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 30, United-States, <=50K.
+21, Private, 54472, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+22, ?, 129767, Assoc-acdm, 12, Never-married, ?, Own-child, White, Female, 0, 0, 5, United-States, <=50K.
+40, Private, 109217, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, Mexico, <=50K.
+32, Private, 189265, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+32, Private, 221680, Bachelors, 13, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+46, Private, 200947, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 35, Italy, <=50K.
+21, Private, 402136, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+30, Private, 119411, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, ?, <=50K.
+47, Self-emp-not-inc, 136258, Some-college, 10, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K.
+53, Private, 35459, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 47, United-States, >50K.
+31, Private, 157640, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 55, United-States, >50K.
+39, Private, 181384, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K.
+50, Private, 81253, HS-grad, 9, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female, 0, 0, 30, United-States, <=50K.
+21, Private, 152668, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K.
+17, ?, 387063, 10th, 6, Never-married, ?, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+73, ?, 132256, Bachelors, 13, Widowed, ?, Unmarried, White, Female, 0, 0, 7, United-States, <=50K.
+39, Private, 106964, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 1977, 55, United-States, >50K.
+21, ?, 214238, HS-grad, 9, Married-spouse-absent, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+20, Private, 218068, Some-college, 10, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 23, United-States, <=50K.
+33, Private, 162572, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K.
+74, Self-emp-not-inc, 160009, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 30, United-States, >50K.
+25, Private, 164488, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+51, ?, 209794, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 3, United-States, >50K.
+31, Private, 119033, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 50, United-States, <=50K.
+27, Private, 311446, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 60, Germany, <=50K.
+31, Private, 128065, 11th, 7, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 55, United-States, >50K.
+48, Private, 101016, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+73, Private, 33493, HS-grad, 9, Widowed, Sales, Not-in-family, White, Female, 0, 0, 3, United-States, <=50K.
+34, Private, 130078, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 7688, 0, 32, ?, >50K.
+30, Private, 284826, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+53, Self-emp-not-inc, 169112, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, Hungary, >50K.
+37, Federal-gov, 362006, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K.
+19, Private, 124906, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 1719, 25, United-States, <=50K.
+53, Private, 229247, 12th, 8, Married-civ-spouse, Transport-moving, Husband, White, Male, 5013, 0, 45, United-States, <=50K.
+59, Self-emp-inc, 170993, Prof-school, 15, Divorced, Prof-specialty, Not-in-family, White, Male, 13550, 0, 40, United-States, >50K.
+39, Private, 157641, Bachelors, 13, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+23, Private, 224632, Bachelors, 13, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 38, United-States, <=50K.
+26, Private, 159732, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 2205, 43, United-States, <=50K.
+56, Self-emp-not-inc, 221801, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+90, Private, 347074, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 1944, 12, United-States, <=50K.
+35, Private, 143059, HS-grad, 9, Married-civ-spouse, Transport-moving, Wife, White, Female, 0, 1902, 28, United-States, >50K.
+23, Private, 37072, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+52, Private, 137815, 9th, 5, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+43, Federal-gov, 594194, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, >50K.
+41, Private, 284716, HS-grad, 9, Separated, Other-service, Unmarried, White, Female, 0, 0, 15, United-States, <=50K.
+39, Private, 202662, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+56, Local-gov, 191754, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K.
+31, Private, 175985, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K.
+69, Private, 108196, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 25, ?, <=50K.
+37, Private, 51198, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+26, Self-emp-inc, 384276, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K.
+46, Self-emp-not-inc, 368355, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K.
+20, Private, 221661, 10th, 6, Never-married, Sales, Not-in-family, White, Female, 0, 0, 30, Mexico, <=50K.
+51, Private, 108435, Bachelors, 13, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, >50K.
+63, ?, 176827, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 30, United-States, >50K.
+42, Private, 209547, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 5178, 0, 40, United-States, >50K.
+29, Private, 197565, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 1902, 35, United-States, >50K.
+62, Private, 180418, 12th, 8, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+35, Self-emp-not-inc, 45880, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+52, Local-gov, 203953, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, Puerto-Rico, >50K.
+64, Self-emp-not-inc, 178748, 1st-4th, 2, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Mexico, <=50K.
+28, Private, 203171, Assoc-voc, 11, Never-married, Tech-support, Own-child, White, Male, 0, 0, 55, United-States, <=50K.
+71, Private, 132057, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 9386, 0, 50, United-States, >50K.
+33, Local-gov, 40142, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 56, United-States, <=50K.
+36, Private, 224541, 7th-8th, 4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, El-Salvador, <=50K.
+67, Self-emp-not-inc, 221252, Masters, 14, Divorced, Sales, Not-in-family, Other, Male, 0, 0, 40, United-States, <=50K.
+26, Private, 133766, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 35, United-States, <=50K.
+41, Private, 244945, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 65, United-States, >50K.
+35, Private, 171393, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+63, Self-emp-not-inc, 326903, 1st-4th, 2, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 25, United-States, <=50K.
+27, Private, 91257, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, El-Salvador, <=50K.
+41, Private, 118001, 11th, 7, Never-married, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+30, Private, 168906, Some-college, 10, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 44, United-States, <=50K.
+27, Private, 267912, 10th, 6, Never-married, Handlers-cleaners, Unmarried, White, Male, 0, 0, 40, Mexico, <=50K.
+55, Private, 327406, Some-college, 10, Divorced, Sales, Not-in-family, White, Male, 0, 0, 65, United-States, >50K.
+25, Private, 141876, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+33, Private, 185177, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+35, Private, 191807, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+39, Private, 114942, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 43, United-States, >50K.
+32, Self-emp-inc, 204470, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 99, United-States, >50K.
+50, Private, 195844, Doctorate, 16, Never-married, Exec-managerial, Not-in-family, White, Male, 13550, 0, 50, United-States, >50K.
+39, Private, 184659, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+39, Private, 224466, Some-college, 10, Divorced, Craft-repair, Unmarried, Black, Male, 0, 0, 24, United-States, <=50K.
+46, Local-gov, 149551, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 5013, 0, 50, United-States, <=50K.
+53, Private, 113522, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+68, Private, 116993, Prof-school, 15, Widowed, Prof-specialty, Unmarried, White, Male, 0, 0, 60, United-States, >50K.
+45, Private, 277434, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+42, Private, 167948, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, South, >50K.
+67, Self-emp-inc, 273239, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K.
+74, Private, 322789, 10th, 6, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 1411, 40, United-States, <=50K.
+20, Local-gov, 240517, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+52, Local-gov, 230112, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+21, Local-gov, 211385, 11th, 7, Never-married, Other-service, Own-child, Black, Male, 0, 0, 25, United-States, <=50K.
+33, Private, 109282, 7th-8th, 4, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+32, Private, 367904, 10th, 6, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, Mexico, <=50K.
+43, Private, 34278, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 35, United-States, <=50K.
+67, Private, 221281, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K.
+39, Private, 179671, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+28, State-gov, 106721, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, ?, <=50K.
+27, Private, 152951, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+30, Private, 315203, 7th-8th, 4, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, Dominican-Republic, <=50K.
+44, Private, 117728, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K.
+23, Private, 192017, Assoc-voc, 11, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+17, ?, 186575, 11th, 7, Never-married, ?, Own-child, White, Male, 0, 0, 10, United-States, <=50K.
+42, Private, 120837, HS-grad, 9, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+39, Self-emp-not-inc, 289430, 5th-6th, 3, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, Mexico, <=50K.
+44, Private, 304175, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, >50K.
+52, Local-gov, 251841, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K.
+17, Private, 33611, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+44, Self-emp-not-inc, 38122, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+23, Self-emp-not-inc, 72143, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+52, Federal-gov, 385183, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K.
+58, Private, 37345, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+31, Private, 290964, Assoc-voc, 11, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 38, United-States, >50K.
+26, Private, 52839, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+33, Self-emp-inc, 134737, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 2829, 0, 70, United-States, <=50K.
+21, Private, 55465, 10th, 6, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+48, Private, 377401, Some-college, 10, Divorced, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, >50K.
+21, Private, 323497, HS-grad, 9, Never-married, Other-service, Own-child, Black, Male, 0, 0, 36, United-States, <=50K.
+21, Private, 334693, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K.
+41, Self-emp-inc, 163215, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 60, United-States, >50K.
+54, Private, 178530, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K.
+38, Private, 368256, Assoc-acdm, 12, Never-married, Sales, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K.
+37, Private, 191137, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 42, United-States, <=50K.
+64, Private, 212513, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+56, Private, 147653, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 50, United-States, <=50K.
+41, Private, 173307, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+42, Private, 212760, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K.
+53, State-gov, 101238, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+37, Private, 306868, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 38, United-States, <=50K.
+60, Federal-gov, 117509, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+35, Private, 151835, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, >50K.
+70, Private, 291998, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 20051, 0, 65, United-States, >50K.
+44, Private, 136986, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K.
+50, Private, 201984, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+58, Private, 187060, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, Canada, <=50K.
+46, Private, 174928, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, Puerto-Rico, <=50K.
+29, Private, 445480, 12th, 8, Married-civ-spouse, Machine-op-inspct, Other-relative, White, Male, 0, 0, 40, United-States, <=50K.
+26, Private, 265781, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K.
+33, Local-gov, 377107, Some-college, 10, Separated, Other-service, Own-child, Black, Female, 0, 0, 35, United-States, <=50K.
+42, Private, 347890, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 50, United-States, >50K.
+24, Private, 199336, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 45, United-States, <=50K.
+17, Private, 111593, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 8, United-States, <=50K.
+35, Private, 258657, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+37, Federal-gov, 39207, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, >50K.
+59, Private, 159770, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+27, Private, 309463, 9th, 5, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 10, United-States, <=50K.
+38, Federal-gov, 215419, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 55, Canada, <=50K.
+47, Self-emp-not-inc, 177533, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+42, Private, 251239, 9th, 5, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, Puerto-Rico, <=50K.
+40, Federal-gov, 134307, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, Black, Female, 0, 1741, 40, United-States, <=50K.
+21, Private, 24598, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+36, Self-emp-not-inc, 140676, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+46, Private, 143542, 11th, 7, Widowed, Machine-op-inspct, Other-relative, White, Male, 0, 0, 20, United-States, <=50K.
+65, ?, 38189, HS-grad, 9, Never-married, ?, Not-in-family, Black, Male, 2346, 0, 40, United-States, <=50K.
+31, Private, 158291, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+29, Private, 118503, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+50, Self-emp-not-inc, 71609, 10th, 6, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+46, Private, 203653, Bachelors, 13, Divorced, Sales, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K.
+31, Private, 181751, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+36, Private, 162358, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 1408, 40, United-States, <=50K.
+66, ?, 231315, Assoc-acdm, 12, Widowed, ?, Unmarried, White, Female, 0, 0, 3, United-States, <=50K.
+59, Federal-gov, 181940, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K.
+30, Private, 213226, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 27828, 0, 40, United-States, >50K.
+27, Private, 452963, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+44, Private, 268039, Some-college, 10, Divorced, Handlers-cleaners, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K.
+34, Private, 141841, HS-grad, 9, Separated, Craft-repair, Own-child, Black, Male, 0, 0, 40, United-States, <=50K.
+58, Self-emp-not-inc, 194733, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+36, Private, 214008, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K.
+29, ?, 147755, HS-grad, 9, Never-married, ?, Not-in-family, White, Male, 0, 0, 32, ?, <=50K.
+42, State-gov, 273869, HS-grad, 9, Divorced, Protective-serv, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+24, Private, 160261, Some-college, 10, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 64, ?, <=50K.
+25, Private, 48029, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+18, Private, 163460, Some-college, 10, Never-married, Sales, Own-child, Black, Male, 0, 0, 20, United-States, <=50K.
+55, Private, 112529, 5th-6th, 3, Never-married, Transport-moving, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+55, Private, 109075, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 5013, 0, 48, United-States, <=50K.
+31, Private, 182699, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+33, Private, 101867, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K.
+65, Local-gov, 382245, HS-grad, 9, Widowed, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+18, Private, 200290, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 35, United-States, <=50K.
+23, State-gov, 35805, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+22, Private, 157541, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+61, Local-gov, 192085, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 15, United-States, <=50K.
+40, Private, 33795, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+51, Private, 345459, Some-college, 10, Never-married, Exec-managerial, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+25, Private, 105520, HS-grad, 9, Never-married, Other-service, Own-child, Black, Male, 0, 0, 40, United-States, <=50K.
+63, Local-gov, 114752, Bachelors, 13, Widowed, Adm-clerical, Unmarried, Asian-Pac-Islander, Female, 0, 0, 35, Philippines, <=50K.
+17, Private, 98572, 11th, 7, Never-married, Sales, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K.
+54, Self-emp-not-inc, 83984, Masters, 14, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K.
+45, Local-gov, 317846, Assoc-acdm, 12, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 47, United-States, <=50K.
+28, State-gov, 319027, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K.
+24, Private, 84319, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+70, Private, 298470, Bachelors, 13, Widowed, Sales, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K.
+46, Private, 278322, Doctorate, 16, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K.
+51, Local-gov, 169182, 9th, 5, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 45, Cuba, <=50K.
+58, Private, 498267, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+71, ?, 94314, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 1173, 0, 18, United-States, <=50K.
+26, Private, 50053, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 37, United-States, <=50K.
+38, Private, 107302, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 3103, 0, 40, United-States, >50K.
+40, Private, 110009, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, ?, <=50K.
+45, Private, 154174, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+43, Private, 147110, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+55, Self-emp-not-inc, 141122, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+38, Private, 162164, 11th, 7, Widowed, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+26, ?, 168095, HS-grad, 9, Never-married, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+19, Private, 134664, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 3781, 0, 40, United-States, <=50K.
+66, Private, 95644, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+34, Private, 198183, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K.
+35, Private, 538583, 11th, 7, Separated, Transport-moving, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+47, ?, 308499, HS-grad, 9, Divorced, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+34, Private, 108837, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 48, United-States, >50K.
+55, Private, 27227, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 1977, 35, United-States, >50K.
+43, Federal-gov, 117022, Assoc-voc, 11, Divorced, Handlers-cleaners, Unmarried, Black, Male, 0, 1726, 40, United-States, <=50K.
+66, Private, 133884, HS-grad, 9, Widowed, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+42, Private, 602513, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K.
+55, Self-emp-inc, 114495, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2415, 50, United-States, >50K.
+43, Private, 171087, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 5178, 0, 40, United-States, >50K.
+33, Private, 53373, 10th, 6, Never-married, Other-service, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+18, Private, 323810, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 40, ?, <=50K.
+50, Private, 200325, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+38, Private, 322092, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+46, Private, 209739, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 46, United-States, <=50K.
+38, Private, 589809, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, >50K.
+45, Self-emp-not-inc, 105838, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 35, United-States, <=50K.
+30, Private, 119522, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+56, Private, 258579, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+29, Private, 123200, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male, 0, 2415, 40, Puerto-Rico, >50K.
+34, Private, 275771, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 50, United-States, <=50K.
+58, Local-gov, 33386, Some-college, 10, Widowed, Adm-clerical, Other-relative, White, Female, 0, 0, 25, United-States, <=50K.
+47, Local-gov, 101016, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 7688, 0, 40, United-States, >50K.
+62, Private, 217434, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+24, Private, 187229, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Black, Female, 0, 0, 40, United-States, <=50K.
+49, Private, 207772, HS-grad, 9, Divorced, Tech-support, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+40, Federal-gov, 179717, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 7298, 0, 50, United-States, >50K.
+17, Private, 260978, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 14, Philippines, <=50K.
+36, Private, 280570, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+73, Private, 179001, HS-grad, 9, Widowed, Sales, Not-in-family, White, Female, 0, 0, 7, United-States, <=50K.
+26, State-gov, 79089, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K.
+63, Private, 85420, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 10, United-States, <=50K.
+21, Local-gov, 244074, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 22, United-States, <=50K.
+49, Self-emp-not-inc, 259087, 11th, 7, Widowed, Craft-repair, Unmarried, White, Female, 0, 0, 40, ?, <=50K.
+20, Private, 361138, HS-grad, 9, Never-married, Sales, Unmarried, White, Male, 0, 0, 45, United-States, <=50K.
+40, Private, 309311, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+36, Private, 46756, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+55, Federal-gov, 272339, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+39, Private, 82521, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K.
+40, Private, 103759, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+18, Private, 150675, 10th, 6, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+42, Private, 180096, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+49, Private, 157991, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+26, Private, 164170, Some-college, 10, Never-married, Sales, Other-relative, Asian-Pac-Islander, Female, 0, 0, 35, Philippines, <=50K.
+18, Private, 186946, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 23, United-States, <=50K.
+57, Private, 201159, Assoc-acdm, 12, Widowed, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K.
+35, Self-emp-not-inc, 61343, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+21, Private, 130534, 10th, 6, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+43, Private, 222635, 11th, 7, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 80, United-States, <=50K.
+32, Private, 169768, Bachelors, 13, Separated, Tech-support, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+23, Private, 72922, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K.
+59, Private, 66440, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+50, Private, 338836, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1887, 36, United-States, >50K.
+47, Local-gov, 122206, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 20, United-States, >50K.
+36, Private, 145704, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+35, State-gov, 88215, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, >50K.
+24, Private, 114873, HS-grad, 9, Never-married, Protective-serv, Not-in-family, Other, Male, 0, 0, 40, United-States, <=50K.
+22, Private, 240063, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+67, Self-emp-not-inc, 167015, Bachelors, 13, Widowed, Sales, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K.
+44, Local-gov, 354230, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+34, Private, 124827, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 80, United-States, <=50K.
+24, Private, 225739, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+68, ?, 188102, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 8, United-States, >50K.
+46, Local-gov, 349986, Bachelors, 13, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+41, Private, 112763, HS-grad, 9, Divorced, Handlers-cleaners, Own-child, White, Female, 2597, 0, 40, United-States, <=50K.
+66, Private, 242589, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 34, United-States, <=50K.
+21, Private, 366929, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 38, United-States, <=50K.
+25, Private, 154210, 11th, 7, Married-spouse-absent, Sales, Own-child, Asian-Pac-Islander, Male, 0, 0, 35, India, <=50K.
+31, Private, 274222, 1st-4th, 2, Never-married, Transport-moving, Other-relative, Other, Male, 0, 0, 40, El-Salvador, <=50K.
+51, State-gov, 166459, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+33, Private, 36222, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K.
+24, Private, 240063, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K.
+31, Federal-gov, 158847, Assoc-acdm, 12, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K.
+31, Private, 203488, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1977, 45, United-States, >50K.
+54, Private, 96062, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Portugal, <=50K.
+49, Self-emp-not-inc, 126077, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 35, United-States, <=50K.
+59, Private, 162580, HS-grad, 9, Never-married, Craft-repair, Other-relative, White, Female, 0, 0, 35, United-States, <=50K.
+76, Self-emp-not-inc, 413699, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 28, United-States, <=50K.
+32, Private, 303692, Doctorate, 16, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K.
+47, Self-emp-not-inc, 184682, HS-grad, 9, Separated, Sales, Unmarried, White, Female, 0, 0, 35, United-States, <=50K.
+70, Self-emp-inc, 217801, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 15, United-States, <=50K.
+41, Private, 306496, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K.
+46, Private, 110171, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Italy, <=50K.
+36, State-gov, 89625, HS-grad, 9, Never-married, Protective-serv, Other-relative, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K.
+23, ?, 234108, Some-college, 10, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+44, Private, 270147, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 45, United-States, >50K.
+32, Self-emp-not-inc, 195891, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, Iran, <=50K.
+47, Private, 131160, Bachelors, 13, Divorced, Other-service, Not-in-family, White, Female, 99999, 0, 40, United-States, >50K.
+56, Private, 93211, HS-grad, 9, Widowed, Other-service, Unmarried, White, Female, 0, 0, 40, Canada, <=50K.
+38, Private, 181661, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 56, United-States, >50K.
+74, Private, 146365, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 28, United-States, <=50K.
+19, Private, 219671, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K.
+74, Private, 203523, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 2653, 0, 12, United-States, <=50K.
+22, ?, 268145, HS-grad, 9, Never-married, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+32, Private, 137421, HS-grad, 9, Married-spouse-absent, Other-service, Other-relative, Other, Male, 0, 0, 40, Mexico, <=50K.
+31, Private, 302679, 12th, 8, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, <=50K.
+24, Private, 421474, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+46, Private, 98524, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, Canada, >50K.
+27, Private, 282313, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+56, Private, 157786, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 55, United-States, >50K.
+40, Private, 83508, Bachelors, 13, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 20, United-States, <=50K.
+67, State-gov, 167687, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 3456, 0, 35, United-States, <=50K.
+45, Self-emp-not-inc, 187272, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 45, South, <=50K.
+36, Federal-gov, 187089, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+47, Private, 167625, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, >50K.
+61, Private, 190955, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 40, United-States, >50K.
+50, Private, 185846, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 3103, 0, 40, United-States, >50K.
+43, Private, 55764, Some-college, 10, Never-married, Handlers-cleaners, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K.
+69, Private, 164110, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 10605, 0, 50, United-States, >50K.
+32, Private, 117444, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+38, Self-emp-not-inc, 164593, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 30, ?, <=50K.
+45, Private, 22610, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+32, Private, 303942, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, <=50K.
+51, Federal-gov, 378126, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 1980, 40, United-States, <=50K.
+38, Self-emp-inc, 231491, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K.
+36, Private, 69481, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K.
+42, Private, 199018, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+24, Private, 255252, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+50, Private, 193871, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 38, United-States, <=50K.
+36, Private, 23892, Assoc-acdm, 12, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, >50K.
+31, Private, 201156, Some-college, 10, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 55, United-States, >50K.
+33, Private, 171468, Some-college, 10, Married-civ-spouse, Craft-repair, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+37, Private, 255454, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 7298, 0, 35, Haiti, >50K.
+26, Private, 207258, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+43, Self-emp-not-inc, 134440, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 99, United-States, <=50K.
+46, Private, 107737, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+22, Private, 193190, HS-grad, 9, Never-married, Other-service, Own-child, Black, Female, 0, 0, 40, United-States, <=50K.
+45, Private, 114774, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 2258, 55, United-States, <=50K.
+17, Private, 507492, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 15, Guatemala, <=50K.
+23, Private, 209955, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 25, Canada, <=50K.
+36, Private, 298635, Bachelors, 13, Married-civ-spouse, Other-service, Husband, Other, Male, 0, 0, 40, Iran, >50K.
+47, Private, 175600, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+29, Private, 294592, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+39, Private, 40955, Prof-school, 15, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, >50K.
+33, Private, 268996, Assoc-voc, 11, Divorced, Sales, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K.
+30, Private, 175323, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 52, United-States, <=50K.
+22, Private, 125010, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K.
+18, ?, 201871, 12th, 8, Never-married, ?, Own-child, White, Male, 0, 0, 7, United-States, <=50K.
+28, Private, 203171, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+40, Private, 53774, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 4064, 0, 12, United-States, <=50K.
+29, Private, 247867, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+28, Private, 126135, Some-college, 10, Never-married, Farming-fishing, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+23, Private, 82067, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 30, United-States, <=50K.
+45, Private, 224559, 10th, 6, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+48, Local-gov, 127675, Masters, 14, Widowed, Prof-specialty, Unmarried, White, Female, 0, 0, 44, United-States, <=50K.
+47, Private, 101825, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K.
+48, Self-emp-not-inc, 259412, Prof-school, 15, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 20, United-States, <=50K.
+25, Private, 166977, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1887, 40, United-States, >50K.
+63, Private, 546118, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 35, United-States, >50K.
+42, Private, 110318, HS-grad, 9, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+33, Private, 175856, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+30, Private, 156763, HS-grad, 9, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+45, Self-emp-inc, 213897, Masters, 14, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 1902, 40, Hong, >50K.
+24, Private, 44493, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+34, Private, 201156, 11th, 7, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K.
+27, Private, 375703, Bachelors, 13, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K.
+31, Private, 293594, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 3770, 37, Puerto-Rico, <=50K.
+44, Local-gov, 183850, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 56, United-States, <=50K.
+27, Private, 84433, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K.
+62, ?, 296485, Assoc-voc, 11, Separated, ?, Not-in-family, White, Male, 0, 0, 10, United-States, <=50K.
+28, Private, 214026, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 35, United-States, <=50K.
+40, Local-gov, 104235, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2051, 30, United-States, <=50K.
+42, Private, 212894, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 70, United-States, >50K.
+24, Private, 446647, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 15, United-States, <=50K.
+56, Private, 530099, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+27, Private, 42850, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, ?, <=50K.
+43, Private, 120277, Some-college, 10, Divorced, Sales, Unmarried, White, Male, 0, 0, 55, United-States, <=50K.
+56, Private, 146554, HS-grad, 9, Separated, Adm-clerical, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K.
+20, Private, 44793, Some-college, 10, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K.
+52, Private, 182907, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 55, United-States, <=50K.
+50, Private, 341797, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Canada, >50K.
+29, Private, 226441, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+23, Private, 48988, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+32, Private, 252646, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+27, ?, 214695, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 30, United-States, <=50K.
+23, Private, 189194, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+28, Private, 68021, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+32, Private, 117369, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K.
+19, Private, 340094, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+34, Local-gov, 161113, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+23, State-gov, 279243, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 38, United-States, <=50K.
+49, Private, 110669, 10th, 6, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K.
+17, Private, 121470, 12th, 8, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 10, ?, <=50K.
+39, Private, 453686, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K.
+32, Private, 281219, Assoc-voc, 11, Divorced, Sales, Unmarried, White, Female, 0, 1380, 40, United-States, <=50K.
+30, Private, 235738, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+25, Private, 272167, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K.
+76, ?, 84737, Bachelors, 13, Widowed, ?, Other-relative, Asian-Pac-Islander, Male, 0, 0, 32, China, <=50K.
+62, Private, 176965, 7th-8th, 4, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+61, Private, 101701, Bachelors, 13, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 20, United-States, <=50K.
+33, Private, 22405, HS-grad, 9, Separated, Other-service, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 72, United-States, <=50K.
+50, Private, 98815, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 46, United-States, >50K.
+43, Private, 195897, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+27, Private, 96718, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 39, United-States, <=50K.
+67, Private, 126361, 11th, 7, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 9, United-States, >50K.
+27, State-gov, 56365, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 20, China, <=50K.
+33, Federal-gov, 344073, Bachelors, 13, Never-married, Protective-serv, Not-in-family, White, Male, 0, 1408, 50, United-States, <=50K.
+35, Private, 306388, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 30, United-States, <=50K.
+20, Private, 143604, Some-college, 10, Never-married, Sales, Unmarried, White, Female, 0, 0, 2, United-States, <=50K.
+26, Private, 174592, Bachelors, 13, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K.
+45, Self-emp-not-inc, 48553, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+23, Private, 358355, 5th-6th, 3, Married-civ-spouse, Handlers-cleaners, Wife, White, Female, 0, 0, 40, Mexico, <=50K.
+48, Private, 443377, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+28, Local-gov, 229656, Masters, 14, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 1485, 40, United-States, >50K.
+40, Private, 115516, Masters, 14, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 40, China, <=50K.
+62, Private, 189665, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 40, United-States, >50K.
+52, Self-emp-not-inc, 105010, Some-college, 10, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 30, United-States, <=50K.
+50, Private, 320510, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K.
+43, Private, 175943, HS-grad, 9, Married-civ-spouse, Sales, Other-relative, White, Female, 0, 0, 20, United-States, <=50K.
+44, Private, 89172, Masters, 14, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+25, Private, 281627, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Female, 0, 1564, 30, United-States, >50K.
+23, State-gov, 1117718, Some-college, 10, Never-married, Protective-serv, Not-in-family, Black, Male, 0, 0, 30, United-States, <=50K.
+39, Private, 108293, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+26, Private, 152035, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+40, Private, 38389, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+23, Private, 213902, Some-college, 10, Never-married, Other-service, Unmarried, White, Female, 0, 0, 20, United-States, <=50K.
+22, Local-gov, 192812, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 35, United-States, <=50K.
+35, Private, 301911, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 50, Japan, >50K.
+52, Private, 89041, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 40, United-States, >50K.
+37, Private, 96483, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Other-relative, Asian-Pac-Islander, Female, 5178, 0, 38, United-States, >50K.
+25, Private, 209970, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K.
+27, Private, 110622, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K.
+51, State-gov, 250807, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+18, State-gov, 391257, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 16, United-States, <=50K.
+26, Private, 135521, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 50, United-States, <=50K.
+21, ?, 108670, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+42, Private, 179533, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+64, Private, 250117, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 1902, 50, United-States, >50K.
+34, State-gov, 101562, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+70, Self-emp-inc, 223275, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+27, Private, 126060, Assoc-voc, 11, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K.
+52, State-gov, 168035, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+25, Private, 175382, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+33, Private, 170540, HS-grad, 9, Separated, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+18, Private, 243240, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 15, United-States, <=50K.
+51, Self-emp-not-inc, 381769, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+35, Private, 104545, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 20, United-States, <=50K.
+61, Private, 74040, Bachelors, 13, Divorced, Sales, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 30, South, <=50K.
+41, Federal-gov, 275366, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+40, Self-emp-not-inc, 194360, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 72, United-States, >50K.
+24, State-gov, 334693, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+29, Private, 146764, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K.
+24, ?, 184975, HS-grad, 9, Never-married, ?, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K.
+18, Private, 336508, 11th, 7, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 15, United-States, <=50K.
+60, Private, 427248, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+35, ?, 186489, 11th, 7, Married-civ-spouse, ?, Husband, White, Male, 0, 2603, 40, United-States, <=50K.
+28, Private, 258364, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+26, Local-gov, 214215, 11th, 7, Married-civ-spouse, Other-service, Other-relative, White, Male, 0, 0, 50, United-States, <=50K.
+41, Self-emp-not-inc, 49448, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 99999, 0, 40, United-States, >50K.
+52, Private, 261198, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+45, Self-emp-inc, 270535, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 40, United-States, >50K.
+26, Self-emp-not-inc, 218993, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 30, United-States, <=50K.
+48, Private, 155489, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K.
+18, ?, 151866, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 30, United-States, <=50K.
+47, Private, 98828, HS-grad, 9, Widowed, Prof-specialty, Unmarried, Other, Female, 0, 0, 35, Puerto-Rico, <=50K.
+22, Private, 233495, 9th, 5, Divorced, Priv-house-serv, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+35, Private, 182203, Some-college, 10, Divorced, Machine-op-inspct, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K.
+38, Private, 33394, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 75, United-States, >50K.
+19, ?, 171583, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 30, United-States, <=50K.
+34, Local-gov, 80411, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+39, Private, 161295, Assoc-acdm, 12, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, >50K.
+49, ?, 178341, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 7688, 0, 50, United-States, >50K.
+38, Private, 311523, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male, 0, 0, 40, Iran, <=50K.
+25, Private, 315130, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 10, United-States, <=50K.
+23, Private, 67311, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, Canada, <=50K.
+48, Private, 44907, Bachelors, 13, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K.
+62, Private, 104849, Masters, 14, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 40, China, >50K.
+27, Private, 225768, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K.
+24, Private, 186666, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+23, ?, 69510, Bachelors, 13, Never-married, ?, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+59, Private, 171242, Bachelors, 13, Separated, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+55, Private, 197420, HS-grad, 9, Never-married, Priv-house-serv, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K.
+48, Private, 224087, 10th, 6, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+61, Self-emp-not-inc, 140141, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+43, Self-emp-not-inc, 175943, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 14, United-States, <=50K.
+46, Local-gov, 318259, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+34, Private, 190027, HS-grad, 9, Separated, Tech-support, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K.
+32, Private, 233838, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 50, United-States, <=50K.
+51, ?, 117847, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 99, United-States, <=50K.
+26, Private, 49092, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 30, United-States, <=50K.
+39, Private, 171524, 10th, 6, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, Columbia, <=50K.
+50, Private, 237868, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 1887, 55, United-States, >50K.
+51, Self-emp-not-inc, 34067, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+43, Self-emp-inc, 25005, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+30, Private, 177437, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+44, Local-gov, 185267, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 40, United-States, >50K.
+40, Private, 104397, HS-grad, 9, Married-civ-spouse, Sales, Own-child, White, Female, 0, 0, 30, United-States, <=50K.
+41, Private, 33331, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 40, United-States, >50K.
+48, Private, 29128, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 20, United-States, <=50K.
+57, State-gov, 328228, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K.
+21, Private, 227411, Assoc-voc, 11, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+27, Private, 169117, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K.
+27, Private, 238267, Some-college, 10, Never-married, Other-service, Unmarried, White, Female, 0, 0, 10, United-States, <=50K.
+31, Private, 118551, HS-grad, 9, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+23, Private, 47541, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+45, Private, 92374, Some-college, 10, Never-married, Exec-managerial, Not-in-family, Other, Male, 13550, 0, 60, India, >50K.
+61, Local-gov, 224598, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 24, ?, <=50K.
+32, Private, 131568, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+42, Private, 183319, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 43, United-States, >50K.
+41, Private, 309932, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+60, Private, 197311, HS-grad, 9, Divorced, Priv-house-serv, Unmarried, White, Female, 0, 0, 99, United-States, <=50K.
+28, Private, 292120, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 42, United-States, <=50K.
+49, Private, 117310, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Own-child, White, Female, 0, 0, 38, United-States, <=50K.
+23, Private, 308647, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 1887, 40, United-States, >50K.
+30, Private, 135785, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+28, Private, 179008, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+27, State-gov, 205188, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+26, Private, 193945, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K.
+40, State-gov, 258589, Masters, 14, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 80, United-States, <=50K.
+30, State-gov, 107142, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 37, United-States, >50K.
+42, Private, 23157, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K.
+72, Self-emp-not-inc, 47203, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 4931, 0, 70, United-States, <=50K.
+30, Private, 279923, Some-college, 10, Never-married, Sales, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+51, Private, 192386, Assoc-voc, 11, Divorced, Craft-repair, Not-in-family, White, Male, 6849, 0, 40, United-States, <=50K.
+24, Private, 188569, Masters, 14, Never-married, Exec-managerial, Own-child, White, Female, 4787, 0, 60, United-States, >50K.
+43, Private, 68748, HS-grad, 9, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K.
+53, Private, 239155, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+45, Private, 165346, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 64, United-States, <=50K.
+21, Private, 392082, Some-college, 10, Never-married, Adm-clerical, Own-child, Other, Male, 0, 0, 40, United-States, <=50K.
+36, Private, 379522, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, Germany, <=50K.
+34, Private, 109917, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+25, Private, 109097, 11th, 7, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+57, State-gov, 202765, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+46, Federal-gov, 125892, Masters, 14, Married-civ-spouse, Exec-managerial, Other-relative, White, Male, 15024, 0, 40, United-States, >50K.
+30, Private, 119411, HS-grad, 9, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+31, Private, 88231, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+42, Private, 188561, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+48, Private, 191681, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+42, Private, 36999, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 3325, 0, 40, United-States, <=50K.
+57, Private, 161662, HS-grad, 9, Married-spouse-absent, Craft-repair, Not-in-family, White, Male, 4650, 0, 40, United-States, <=50K.
+45, Local-gov, 111994, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+27, Private, 247711, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 2258, 55, United-States, <=50K.
+41, Private, 271282, 11th, 7, Divorced, Protective-serv, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K.
+44, Private, 314739, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K.
+39, State-gov, 195148, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+18, Private, 358121, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K.
+31, Private, 101266, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+24, Private, 278391, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Male, 0, 0, 50, United-States, <=50K.
+19, Private, 206751, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 30, United-States, <=50K.
+54, Private, 161147, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 2174, 0, 40, United-States, <=50K.
+47, Private, 301431, Some-college, 10, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+17, Private, 347000, 12th, 8, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 12, United-States, <=50K.
+39, State-gov, 25806, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 48, China, <=50K.
+24, Private, 181557, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 40, United-States, <=50K.
+20, Private, 20057, Some-college, 10, Never-married, Protective-serv, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K.
+25, Private, 190107, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+39, Local-gov, 30269, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 44, United-States, >50K.
+20, Private, 117767, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+44, Private, 406734, Masters, 14, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+23, Private, 236696, Assoc-acdm, 12, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 20, Iran, <=50K.
+24, Private, 354691, 12th, 8, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+53, Private, 199720, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K.
+24, Self-emp-not-inc, 31606, Bachelors, 13, Married-civ-spouse, Prof-specialty, Other-relative, White, Female, 0, 0, 20, United-States, >50K.
+45, Federal-gov, 133973, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+55, Private, 323639, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 74, United-States, >50K.
+21, Private, 225724, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+64, Self-emp-not-inc, 144391, Masters, 14, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+36, Private, 34173, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 20, United-States, <=50K.
+55, Local-gov, 219074, Some-college, 10, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 0, 55, United-States, >50K.
+21, Private, 379525, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 4416, 0, 24, United-States, <=50K.
+17, Local-gov, 287160, 11th, 7, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 7, United-States, <=50K.
+27, Private, 130386, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+25, Private, 409815, Assoc-voc, 11, Never-married, Exec-managerial, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K.
+38, Private, 212143, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 35, United-States, >50K.
+33, ?, 33404, HS-grad, 9, Divorced, ?, Unmarried, White, Male, 0, 0, 48, United-States, <=50K.
+52, Private, 235567, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+22, Private, 306868, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K.
+37, Private, 353550, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 60, United-States, >50K.
+37, Private, 107302, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 45, United-States, >50K.
+65, Self-emp-not-inc, 169435, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 39, United-States, >50K.
+28, Private, 105817, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+32, Self-emp-not-inc, 68879, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+53, Self-emp-not-inc, 206288, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 35, Vietnam, <=50K.
+32, Private, 187936, 10th, 6, Never-married, Craft-repair, Not-in-family, Black, Female, 0, 0, 50, United-States, <=50K.
+45, Private, 226081, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+49, Private, 414448, 7th-8th, 4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, ?, <=50K.
+34, Local-gov, 79190, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 50, United-States, <=50K.
+39, Private, 34996, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+43, Private, 318415, Some-college, 10, Divorced, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+45, ?, 214800, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 12, United-States, <=50K.
+35, Private, 148334, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Male, 0, 0, 40, United-States, <=50K.
+41, Self-emp-inc, 160120, Doctorate, 16, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Taiwan, >50K.
+62, Self-emp-not-inc, 285692, Masters, 14, Married-spouse-absent, Sales, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K.
+45, Private, 461725, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+35, Private, 104329, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+34, Private, 37284, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+40, Private, 154374, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K.
+17, Private, 209650, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 15, United-States, <=50K.
+18, Private, 227529, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+27, Private, 249382, HS-grad, 9, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+20, Private, 305781, 11th, 7, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+55, Private, 147989, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 58, United-States, <=50K.
+57, Private, 207604, 7th-8th, 4, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+38, Private, 367260, Doctorate, 16, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+20, Private, 147523, 9th, 5, Never-married, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 40, El-Salvador, <=50K.
+52, Self-emp-not-inc, 193116, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 20, Mexico, <=50K.
+18, Private, 50119, 10th, 6, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 20, United-States, <=50K.
+52, Private, 262579, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+42, Private, 244910, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K.
+48, Private, 120902, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K.
+55, Private, 217241, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+18, Private, 65098, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 30, United-States, <=50K.
+17, Private, 364491, 11th, 7, Never-married, Sales, Own-child, White, Male, 0, 0, 22, United-States, <=50K.
+47, Private, 209739, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+29, Private, 72338, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Asian-Pac-Islander, Male, 0, 0, 26, United-States, <=50K.
+48, Private, 215895, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+31, Private, 32289, HS-grad, 9, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+54, Private, 209464, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+69, Private, 98170, 7th-8th, 4, Widowed, Other-service, Not-in-family, White, Female, 1086, 0, 20, United-States, <=50K.
+40, Private, 271665, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+25, Private, 124111, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 50, United-States, <=50K.
+82, Self-emp-not-inc, 121944, 7th-8th, 4, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+48, Self-emp-not-inc, 121424, Bachelors, 13, Separated, Tech-support, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+53, State-gov, 33795, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+47, Private, 150429, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male, 0, 0, 50, United-States, >50K.
+57, Private, 124771, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1740, 40, United-States, <=50K.
+21, Private, 204160, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 13, United-States, <=50K.
+52, Private, 243616, 5th-6th, 3, Separated, Craft-repair, Unmarried, Black, Female, 4101, 0, 40, United-States, <=50K.
+45, Private, 168556, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+54, Private, 186224, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K.
+69, Self-emp-not-inc, 187332, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 20051, 0, 45, United-States, >50K.
+30, Private, 113433, Some-college, 10, Never-married, Machine-op-inspct, Own-child, Black, Female, 0, 0, 40, United-States, <=50K.
+37, Private, 268598, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, Other, Male, 0, 0, 40, United-States, <=50K.
+60, Self-emp-inc, 137733, 10th, 6, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 44, United-States, >50K.
+55, Private, 210318, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+46, Private, 106662, Bachelors, 13, Separated, Sales, Not-in-family, White, Male, 99999, 0, 55, United-States, >50K.
+21, Private, 162667, HS-grad, 9, Married-civ-spouse, Craft-repair, Other-relative, White, Male, 0, 0, 40, Ecuador, <=50K.
+25, Private, 187577, Assoc-acdm, 12, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+67, Private, 89495, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 1797, 0, 4, United-States, <=50K.
+41, Local-gov, 247082, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+53, Private, 157059, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+26, Private, 282643, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+68, Self-emp-not-inc, 69249, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 10, United-States, >50K.
+36, Private, 131766, Assoc-acdm, 12, Never-married, Exec-managerial, Not-in-family, White, Female, 3325, 0, 40, United-States, <=50K.
+20, Private, 163665, Assoc-acdm, 12, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 15, United-States, <=50K.
+20, Private, 165097, Some-college, 10, Never-married, Exec-managerial, Other-relative, White, Male, 0, 2001, 40, United-States, <=50K.
+35, Private, 194668, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 99999, 0, 45, United-States, >50K.
+27, Private, 116372, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+29, Private, 113635, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+28, Private, 162994, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+40, Private, 266803, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 15024, 0, 50, Canada, >50K.
+20, Private, 230482, 9th, 5, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+51, Private, 299831, Assoc-voc, 11, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+30, Private, 172830, Masters, 14, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+50, Private, 144084, HS-grad, 9, Separated, Sales, Unmarried, White, Female, 0, 0, 55, United-States, <=50K.
+30, Local-gov, 295737, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+34, Private, 207685, Bachelors, 13, Separated, Prof-specialty, Unmarried, Black, Female, 0, 0, 39, United-States, <=50K.
+55, Private, 161423, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 52, United-States, >50K.
+53, Self-emp-not-inc, 122109, Assoc-acdm, 12, Divorced, Sales, Not-in-family, White, Female, 0, 0, 70, United-States, <=50K.
+45, Private, 215892, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 2824, 50, United-States, >50K.
+45, Private, 176517, Assoc-acdm, 12, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 50, United-States, <=50K.
+40, Self-emp-not-inc, 220821, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 72, United-States, <=50K.
+73, Local-gov, 249043, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 20, Cuba, <=50K.
+18, Private, 58949, 12th, 8, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+33, Private, 158438, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K.
+33, Private, 154950, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+38, Private, 200445, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, >50K.
+65, ?, 224357, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 2290, 0, 4, United-States, <=50K.
+31, Federal-gov, 103651, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, >50K.
+24, ?, 316524, Bachelors, 13, Never-married, ?, Other-relative, White, Female, 0, 0, 40, United-States, <=50K.
+51, Self-emp-inc, 200046, Bachelors, 13, Separated, Sales, Unmarried, White, Male, 0, 2824, 40, United-States, >50K.
+32, Private, 193285, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K.
+52, Private, 146015, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+41, Self-emp-inc, 195096, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+25, Private, 221078, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K.
+45, Local-gov, 186375, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+61, Self-emp-not-inc, 44983, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 20, United-States, <=50K.
+71, Private, 29770, Some-college, 10, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 28, United-States, <=50K.
+63, State-gov, 266565, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 27, United-States, <=50K.
+45, State-gov, 235431, HS-grad, 9, Separated, Sales, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+57, ?, 153788, Bachelors, 13, Married-civ-spouse, ?, Wife, White, Female, 99999, 0, 45, United-States, >50K.
+47, Private, 280030, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 52, United-States, <=50K.
+50, Self-emp-not-inc, 158352, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K.
+25, Local-gov, 109972, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 45, United-States, <=50K.
+32, Private, 278940, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K.
+40, Private, 174395, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+50, Private, 141592, 10th, 6, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+54, Private, 295525, Some-college, 10, Divorced, Protective-serv, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+34, Private, 121321, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K.
+42, Private, 198955, 9th, 5, Divorced, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 46, United-States, <=50K.
+27, ?, 105189, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 40, Germany, <=50K.
+38, Private, 186191, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K.
+17, Private, 208967, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 24, United-States, <=50K.
+47, Private, 159399, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K.
+21, ?, 169600, Some-college, 10, Married-spouse-absent, ?, Own-child, White, Female, 0, 0, 35, United-States, <=50K.
+25, Private, 262656, Assoc-acdm, 12, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+30, Private, 284629, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+39, Private, 182189, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1887, 65, United-States, >50K.
+47, Federal-gov, 38819, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 45, United-States, >50K.
+57, Private, 191873, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+25, Private, 125082, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Black, Female, 0, 0, 40, United-States, <=50K.
+68, Private, 67791, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+34, State-gov, 334744, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 65, United-States, <=50K.
+35, Private, 198841, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+39, Local-gov, 218490, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+47, Private, 188386, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+47, Private, 95661, Some-college, 10, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, Germany, <=50K.
+55, Self-emp-not-inc, 79011, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, Asian-Pac-Islander, Male, 0, 0, 70, United-States, <=50K.
+72, Self-emp-not-inc, 103368, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 21, United-States, <=50K.
+32, Private, 119176, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 44, United-States, <=50K.
+28, Private, 90928, Assoc-voc, 11, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+61, Self-emp-inc, 218009, Prof-school, 15, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K.
+44, Self-emp-not-inc, 460259, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K.
+35, Local-gov, 405284, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 35, United-States, >50K.
+48, Self-emp-not-inc, 26502, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+49, Federal-gov, 157569, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 46, United-States, <=50K.
+32, Private, 252168, Some-college, 10, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 35, United-States, <=50K.
+26, Federal-gov, 269353, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, Other, Male, 0, 0, 55, United-States, <=50K.
+56, Self-emp-not-inc, 52822, Bachelors, 13, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K.
+71, ?, 365996, HS-grad, 9, Widowed, ?, Unmarried, White, Female, 6612, 0, 42, United-States, >50K.
+24, State-gov, 147548, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K.
+42, Local-gov, 216411, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 35, Puerto-Rico, >50K.
+37, State-gov, 122493, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 55, United-States, >50K.
+57, Private, 41680, Some-college, 10, Divorced, Tech-support, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K.
+48, Local-gov, 100818, Bachelors, 13, Separated, Prof-specialty, Unmarried, White, Female, 7443, 0, 45, United-States, <=50K.
+39, Private, 30056, Some-college, 10, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+20, Self-emp-inc, 83141, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+46, Private, 178768, HS-grad, 9, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K.
+68, Self-emp-not-inc, 376957, 5th-6th, 3, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 6, United-States, <=50K.
+33, Private, 194740, 12th, 8, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+35, Self-emp-not-inc, 160728, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+62, ?, 198170, Masters, 14, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 4, United-States, <=50K.
+20, Private, 200967, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K.
+42, State-gov, 116493, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 52, United-States, <=50K.
+64, ?, 117349, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 24, United-States, <=50K.
+42, Private, 188615, Some-college, 10, Separated, Prof-specialty, Not-in-family, White, Male, 0, 2231, 50, Canada, >50K.
+47, Private, 849067, 12th, 8, Divorced, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+40, Private, 193459, Assoc-acdm, 12, Separated, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, Outlying-US(Guam-USVI-etc), <=50K.
+51, State-gov, 177487, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+26, Private, 151971, Some-college, 10, Never-married, Handlers-cleaners, Unmarried, White, Male, 0, 0, 35, United-States, <=50K.
+32, Self-emp-inc, 169152, Assoc-voc, 11, Divorced, Exec-managerial, Not-in-family, White, Female, 10520, 0, 80, Greece, >50K.
+59, Private, 108929, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+36, Private, 290861, 11th, 7, Married-spouse-absent, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+38, Self-emp-not-inc, 168826, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K.
+45, Private, 216414, Masters, 14, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 50, United-States, >50K.
+38, Private, 324053, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K.
+55, State-gov, 197399, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+46, Private, 138069, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+59, Private, 184553, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+31, Private, 328734, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K.
+29, Private, 336167, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K.
+34, Private, 195748, Assoc-acdm, 12, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 38, United-States, <=50K.
+53, Private, 590941, Doctorate, 16, Never-married, Prof-specialty, Unmarried, White, Female, 0, 1408, 40, United-States, <=50K.
+43, Private, 211580, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+52, ?, 73117, HS-grad, 9, Divorced, ?, Unmarried, White, Female, 0, 0, 38, United-States, <=50K.
+45, Private, 166863, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+29, Private, 141350, HS-grad, 9, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+28, Private, 133937, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 15024, 0, 55, United-States, >50K.
+44, Private, 282192, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 60, United-States, <=50K.
+32, Private, 237582, Assoc-voc, 11, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K.
+29, Private, 262758, Assoc-acdm, 12, Never-married, Other-service, Unmarried, Black, Male, 0, 625, 60, United-States, <=50K.
+48, Self-emp-inc, 188694, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+40, Local-gov, 104196, 12th, 8, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+23, Private, 172232, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+29, Self-emp-not-inc, 103432, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+65, Private, 183544, 9th, 5, Widowed, Sales, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K.
+41, Private, 276289, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Black, Male, 0, 0, 60, ?, <=50K.
+58, Private, 111209, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+30, Private, 176862, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+55, Private, 201229, Bachelors, 13, Divorced, Sales, Not-in-family, White, Female, 0, 0, 8, United-States, <=50K.
+42, Private, 186689, HS-grad, 9, Married-civ-spouse, Other-service, Wife, Black, Female, 0, 0, 60, United-States, <=50K.
+31, Private, 177675, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K.
+38, Federal-gov, 337505, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, >50K.
+53, Private, 156148, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+50, Self-emp-inc, 209642, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 99999, 0, 55, United-States, >50K.
+62, Private, 159474, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+37, Private, 75073, Some-college, 10, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+56, Self-emp-not-inc, 121362, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 15024, 0, 40, United-States, >50K.
+21, Private, 321369, 10th, 6, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+43, ?, 49665, HS-grad, 9, Divorced, ?, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 45, United-States, <=50K.
+44, Private, 219155, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K.
+48, Private, 329144, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 60, United-States, >50K.
+40, Local-gov, 161475, HS-grad, 9, Married-civ-spouse, Protective-serv, Wife, Black, Female, 0, 0, 75, United-States, <=50K.
+70, Self-emp-inc, 99554, Bachelors, 13, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+40, Private, 277488, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+27, Local-gov, 286352, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K.
+26, Private, 109457, 10th, 6, Married-civ-spouse, Craft-repair, Other-relative, White, Male, 0, 0, 48, United-States, <=50K.
+33, Private, 236304, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 60, United-States, >50K.
+35, Private, 399601, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K.
+42, State-gov, 396758, Some-college, 10, Divorced, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+37, Private, 21798, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K.
+21, ?, 278130, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+17, Private, 192173, 9th, 5, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K.
+40, Private, 43546, Some-college, 10, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 48, United-States, <=50K.
+20, Private, 87546, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+69, Private, 135891, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 7, United-States, >50K.
+32, Private, 312923, 5th-6th, 3, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Mexico, <=50K.
+21, Private, 33432, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 8, United-States, <=50K.
+25, Private, 270379, HS-grad, 9, Never-married, Tech-support, Other-relative, Black, Female, 0, 0, 35, United-States, <=50K.
+17, Private, 134829, 11th, 7, Never-married, Other-service, Own-child, White, Male, 2176, 0, 20, United-States, <=50K.
+40, Federal-gov, 155106, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 55, United-States, >50K.
+19, ?, 145989, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 45, United-States, <=50K.
+50, Local-gov, 270221, Some-college, 10, Divorced, Adm-clerical, Own-child, White, Male, 0, 0, 43, United-States, >50K.
+24, Private, 123226, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+23, Private, 154641, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+73, Private, 145570, 7th-8th, 4, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 35, United-States, >50K.
+54, Private, 229983, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K.
+68, Self-emp-not-inc, 140892, Masters, 14, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 15, United-States, <=50K.
+45, Local-gov, 278303, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+66, Private, 127139, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+32, Self-emp-not-inc, 360689, 11th, 7, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+24, Private, 19513, HS-grad, 9, Never-married, Sales, Own-child, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K.
+56, Private, 50490, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K.
+50, Self-emp-not-inc, 34067, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, >50K.
+48, Private, 359808, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, >50K.
+28, Private, 105422, Some-college, 10, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+49, Private, 28171, HS-grad, 9, Divorced, Tech-support, Not-in-family, White, Male, 4787, 0, 40, United-States, >50K.
+59, State-gov, 49230, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+24, Private, 165107, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+20, Private, 112706, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 39, United-States, <=50K.
+56, Private, 28297, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+53, Private, 104748, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+21, Private, 129137, HS-grad, 9, Never-married, Other-service, Other-relative, White, Female, 1055, 0, 35, United-States, <=50K.
+30, Private, 298871, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 1887, 45, Iran, >50K.
+30, Local-gov, 229716, Some-college, 10, Separated, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+31, Self-emp-inc, 113752, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+32, Self-emp-not-inc, 198739, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+42, Local-gov, 277256, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+31, Private, 114937, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+57, Private, 206206, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+19, Private, 197861, 12th, 8, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 15, United-States, <=50K.
+19, Private, 38925, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+26, Private, 34309, Assoc-voc, 11, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+24, Private, 219122, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 20, Italy, <=50K.
+41, Self-emp-not-inc, 51494, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+55, Private, 173422, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+20, ?, 116773, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, ?, <=50K.
+33, Private, 252340, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+25, Private, 213799, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 35, United-States, <=50K.
+32, Local-gov, 110100, Assoc-voc, 11, Divorced, Prof-specialty, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+53, Private, 146325, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+37, Private, 383352, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 38, United-States, <=50K.
+33, Private, 369258, Bachelors, 13, Never-married, Handlers-cleaners, Other-relative, White, Female, 0, 0, 40, Mexico, <=50K.
+49, Private, 239865, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 50, United-States, >50K.
+52, Private, 200783, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+40, Private, 243580, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 44, United-States, >50K.
+36, Private, 132563, Prof-school, 15, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 15, United-States, >50K.
+41, Self-emp-not-inc, 390369, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 58, United-States, >50K.
+25, Private, 403788, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 36, United-States, <=50K.
+26, State-gov, 68346, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 10, ?, <=50K.
+59, Private, 136413, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+56, Federal-gov, 208791, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 50, United-States, <=50K.
+21, Private, 572285, HS-grad, 9, Never-married, Other-service, Other-relative, White, Female, 0, 0, 20, United-States, <=50K.
+45, Private, 90992, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 70, United-States, <=50K.
+18, Private, 156056, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 12, United-States, <=50K.
+20, Private, 194102, Some-college, 10, Never-married, Prof-specialty, Other-relative, White, Male, 0, 0, 12, United-States, <=50K.
+42, Private, 149102, Assoc-acdm, 12, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+41, Private, 40151, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+40, Private, 356934, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1902, 45, United-States, >50K.
+28, Federal-gov, 72514, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 72, United-States, <=50K.
+47, Local-gov, 174126, HS-grad, 9, Widowed, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+31, Private, 324386, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+56, Private, 159544, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+34, Private, 114691, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K.
+49, Private, 222829, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 42, United-States, >50K.
+63, Private, 298699, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+38, Private, 216845, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, Mexico, <=50K.
+44, Private, 321824, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 20, United-States, <=50K.
+56, Private, 97541, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 1977, 40, United-States, >50K.
+30, Private, 329425, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+38, Self-emp-inc, 148287, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K.
+51, Local-gov, 251346, 9th, 5, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 38, Puerto-Rico, <=50K.
+30, Private, 143766, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+56, Private, 49647, Assoc-voc, 11, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K.
+50, Private, 233363, 11th, 7, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+54, Local-gov, 180427, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+46, Private, 30111, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, United-States, >50K.
+27, Private, 360527, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+46, Private, 135803, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K.
+60, Federal-gov, 608441, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+42, Local-gov, 720428, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 40, United-States, >50K.
+36, Private, 269784, 10th, 6, Separated, Handlers-cleaners, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+30, Private, 423311, HS-grad, 9, Married-AF-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+43, Private, 343591, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K.
+29, Private, 37088, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+45, ?, 154430, Some-college, 10, Divorced, ?, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K.
+22, Private, 113588, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 1741, 30, United-States, <=50K.
+46, Private, 190072, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+28, Private, 272132, Prof-school, 15, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female, 0, 0, 65, ?, <=50K.
+44, Federal-gov, 32000, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K.
+30, Self-emp-inc, 164190, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 2258, 45, United-States, <=50K.
+17, Private, 233781, 11th, 7, Never-married, Other-service, Own-child, Black, Male, 0, 0, 18, United-States, <=50K.
+23, Private, 401762, 11th, 7, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+34, Self-emp-not-inc, 169186, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+33, Private, 164309, 11th, 7, Separated, Exec-managerial, Unmarried, White, Female, 0, 0, 30, United-States, <=50K.
+24, Private, 170800, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 37, United-States, <=50K.
+32, Private, 37232, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+41, Private, 373403, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+44, Private, 192014, Bachelors, 13, Separated, Exec-managerial, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K.
+48, Self-emp-not-inc, 172034, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+36, Local-gov, 322770, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 1887, 40, Jamaica, >50K.
+39, Private, 269168, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 45, China, >50K.
+34, Private, 302570, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 36, United-States, <=50K.
+35, Private, 103710, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+30, Self-emp-not-inc, 113364, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 30, United-States, <=50K.
+33, Private, 121966, HS-grad, 9, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K.
+35, Private, 416745, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, ?, >50K.
+30, Local-gov, 154548, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 65, United-States, <=50K.
+45, Private, 188794, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+37, Private, 156266, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K.
+61, ?, 270599, 1st-4th, 2, Widowed, ?, Not-in-family, White, Female, 0, 0, 18, Mexico, <=50K.
+36, Private, 19914, Some-college, 10, Never-married, Adm-clerical, Own-child, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K.
+31, Private, 246439, Assoc-acdm, 12, Never-married, Tech-support, Own-child, White, Male, 0, 0, 45, United-States, <=50K.
+38, Private, 101833, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 3103, 0, 40, United-States, >50K.
+32, Private, 177695, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 45, India, <=50K.
+23, Private, 167868, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 24, United-States, <=50K.
+22, Private, 82561, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+38, Self-emp-not-inc, 31848, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+45, ?, 117310, HS-grad, 9, Divorced, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+40, Private, 355918, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K.
+38, Private, 49115, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K.
+29, Private, 102875, 11th, 7, Married-civ-spouse, Handlers-cleaners, Own-child, Black, Male, 0, 0, 20, United-States, <=50K.
+67, ?, 194456, Masters, 14, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 10, United-States, <=50K.
+52, Self-emp-not-inc, 284648, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 99, United-States, >50K.
+52, Self-emp-not-inc, 73134, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K.
+44, Private, 172600, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 10520, 0, 50, United-States, >50K.
+61, ?, 244856, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 4386, 0, 40, United-States, >50K.
+25, Private, 184303, 7th-8th, 4, Never-married, Priv-house-serv, Other-relative, White, Female, 0, 0, 40, Guatemala, <=50K.
+25, State-gov, 154610, Bachelors, 13, Married-spouse-absent, Handlers-cleaners, Not-in-family, White, Female, 0, 1719, 15, United-States, <=50K.
+33, Private, 260560, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+56, Private, 360770, 1st-4th, 2, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, Dominican-Republic, <=50K.
+24, Private, 315877, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K.
+58, Private, 128258, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K.
+33, Private, 179336, Masters, 14, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+20, Self-emp-inc, 168165, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+55, Private, 109015, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 1876, 40, United-States, <=50K.
+22, Private, 89154, 1st-4th, 2, Never-married, Other-service, Other-relative, White, Male, 0, 0, 40, El-Salvador, <=50K.
+30, ?, 260954, 7th-8th, 4, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+38, Private, 85399, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+19, Private, 240841, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 50, United-States, <=50K.
+20, Private, 119742, HS-grad, 9, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 35, United-States, <=50K.
+24, Private, 30656, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 24, United-States, <=50K.
+30, Local-gov, 263561, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K.
+25, Private, 108838, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+21, Private, 259351, HS-grad, 9, Never-married, Other-service, Other-relative, Amer-Indian-Eskimo, Male, 0, 0, 40, Mexico, <=50K.
+42, Private, 159449, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+53, Self-emp-not-inc, 195322, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 30, United-States, <=50K.
+38, Self-emp-not-inc, 179481, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+40, State-gov, 195388, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+51, Private, 123429, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+36, Federal-gov, 116580, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 45, United-States, >50K.
+21, Private, 270043, Some-college, 10, Never-married, Tech-support, Own-child, White, Female, 0, 0, 25, United-States, <=50K.
+49, Self-emp-not-inc, 232586, Bachelors, 13, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K.
+52, Private, 164519, HS-grad, 9, Widowed, Adm-clerical, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K.
+33, Self-emp-not-inc, 141118, Prof-school, 15, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 55, United-States, >50K.
+27, Private, 177955, Bachelors, 13, Never-married, Tech-support, Own-child, White, Female, 0, 0, 40, Mexico, <=50K.
+45, Local-gov, 149337, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, Italy, >50K.
+45, Private, 68896, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 48, ?, <=50K.
+27, Private, 22422, Some-college, 10, Never-married, Sales, Other-relative, White, Male, 0, 0, 40, United-States, <=50K.
+41, Private, 215453, 1st-4th, 2, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 43, Mexico, <=50K.
+30, Local-gov, 170772, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+24, Private, 36011, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 2057, 45, United-States, <=50K.
+35, Private, 133839, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, >50K.
+48, Federal-gov, 50567, Some-college, 10, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+42, Self-emp-inc, 203233, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 99, United-States, >50K.
+46, Private, 187510, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K.
+24, Federal-gov, 290625, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 41, United-States, <=50K.
+39, Private, 127573, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 30, United-States, >50K.
+27, Private, 50316, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+41, Private, 169473, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K.
+46, Private, 25894, Doctorate, 16, Divorced, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, India, >50K.
+44, Private, 106900, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K.
+43, Private, 157473, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Wife, White, Female, 0, 0, 48, United-States, >50K.
+31, Private, 122612, Masters, 14, Married-civ-spouse, Sales, Wife, Asian-Pac-Islander, Female, 0, 0, 25, Japan, >50K.
+17, Private, 132187, 10th, 6, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 15, United-States, <=50K.
+25, ?, 52151, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 2, United-States, <=50K.
+31, Private, 212705, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K.
+38, Private, 436361, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1977, 20, United-States, >50K.
+38, Private, 184456, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 50, Greece, <=50K.
+69, Local-gov, 142297, 10th, 6, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 17, United-States, <=50K.
+60, Federal-gov, 54701, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+34, Private, 245211, Masters, 14, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Poland, >50K.
+50, Private, 98975, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 15024, 0, 40, United-States, >50K.
+31, Private, 463601, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K.
+26, Private, 297991, Bachelors, 13, Married-civ-spouse, Sales, Not-in-family, Asian-Pac-Islander, Female, 0, 1977, 75, Cambodia, >50K.
+36, Private, 196554, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 40, United-States, >50K.
+23, Private, 113511, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+17, Private, 152710, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+30, Private, 147171, Some-college, 10, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female, 0, 0, 40, Trinadad&Tobago, <=50K.
+54, Private, 52724, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+35, Private, 177482, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K.
+58, Private, 219537, 7th-8th, 4, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+33, Private, 350106, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 34, United-States, <=50K.
+30, Private, 197947, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, Puerto-Rico, <=50K.
+21, Private, 253583, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 45, United-States, <=50K.
+26, Private, 58751, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, United-States, <=50K.
+29, Private, 206889, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+45, Private, 151399, 12th, 8, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+40, Local-gov, 50563, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 55, United-States, >50K.
+31, Private, 63861, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 34, United-States, <=50K.
+47, Private, 165517, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K.
+59, ?, 43103, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+21, ?, 123983, Some-college, 10, Never-married, ?, Own-child, Other, Male, 0, 0, 20, United-States, <=50K.
+45, Self-emp-not-inc, 32172, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 70, United-States, <=50K.
+30, Private, 192644, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+52, Self-emp-inc, 230919, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K.
+68, Private, 115772, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, Scotland, <=50K.
+66, Self-emp-not-inc, 51687, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 20, United-States, <=50K.
+26, Private, 191803, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+43, Private, 170721, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+20, ?, 132053, HS-grad, 9, Never-married, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+36, Private, 170842, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 35, United-States, <=50K.
+22, ?, 51973, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 30, United-States, <=50K.
+21, ?, 72621, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 45, United-States, <=50K.
+20, State-gov, 205895, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 10, United-States, <=50K.
+53, Self-emp-inc, 99185, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 80, Greece, <=50K.
+30, Private, 149726, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 7688, 0, 40, United-States, >50K.
+38, Private, 372525, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 45, United-States, >50K.
+21, Private, 165107, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+47, Local-gov, 273767, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K.
+61, Private, 227266, HS-grad, 9, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+49, Federal-gov, 89334, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+44, Private, 199202, Masters, 14, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+23, Private, 326587, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+49, Self-emp-not-inc, 144351, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 25, United-States, <=50K.
+56, Federal-gov, 119254, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+62, Private, 193881, Masters, 14, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K.
+77, Private, 271000, HS-grad, 9, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, >50K.
+17, ?, 74685, 10th, 6, Never-married, ?, Own-child, White, Male, 0, 0, 20, United-States, <=50K.
+34, Private, 123291, 10th, 6, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, United-States, <=50K.
+33, Local-gov, 557359, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+25, Private, 197403, Assoc-voc, 11, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+33, Private, 184245, 9th, 5, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, Columbia, <=50K.
+21, Private, 92898, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+51, Private, 105788, 5th-6th, 3, Separated, Other-service, Unmarried, Black, Female, 0, 0, 40, Scotland, <=50K.
+22, ?, 205940, HS-grad, 9, Never-married, ?, Own-child, White, Female, 0, 0, 30, United-States, <=50K.
+45, Private, 212120, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 40, United-States, >50K.
+35, Private, 351772, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 45, United-States, >50K.
+33, Private, 309582, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, Black, Male, 7298, 0, 50, United-States, >50K.
+28, Private, 244650, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, Black, Female, 0, 1602, 25, United-States, <=50K.
+58, Self-emp-not-inc, 290670, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K.
+64, Self-emp-not-inc, 167877, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K.
+37, Private, 454024, HS-grad, 9, Married-civ-spouse, Other-service, Other-relative, Black, Female, 0, 0, 35, United-States, <=50K.
+28, Private, 125531, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K.
+22, Private, 220603, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K.
+59, Private, 180645, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+35, Private, 98725, 10th, 6, Divorced, Handlers-cleaners, Unmarried, White, Female, 0, 0, 60, United-States, <=50K.
+46, Private, 431515, Bachelors, 13, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+31, Private, 122612, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, South, <=50K.
+23, Federal-gov, 190290, HS-grad, 9, Never-married, Armed-Forces, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+76, Private, 174839, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 9386, 0, 25, United-States, >50K.
+46, Federal-gov, 83610, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K.
+50, Private, 273534, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 30, United-States, <=50K.
+26, Private, 383885, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 5013, 0, 50, United-States, <=50K.
+19, Private, 188618, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 24, United-States, <=50K.
+35, Private, 95653, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 56, United-States, <=50K.
+61, Private, 204908, 11th, 7, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 36, United-States, <=50K.
+41, Private, 221172, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+31, Private, 97723, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 40, United-States, >50K.
+32, Private, 200401, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, Columbia, <=50K.
+41, State-gov, 205153, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+38, Private, 170174, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K.
+58, Federal-gov, 26947, Bachelors, 13, Widowed, Prof-specialty, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K.
+17, ?, 154938, 11th, 7, Never-married, ?, Own-child, White, Male, 0, 0, 20, United-States, <=50K.
+62, Private, 125832, 9th, 5, Widowed, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K.
+25, Self-emp-not-inc, 150361, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+34, Local-gov, 113183, Masters, 14, Divorced, Prof-specialty, Not-in-family, Other, Female, 0, 0, 40, United-States, <=50K.
+23, Private, 39551, Assoc-acdm, 12, Never-married, Sales, Own-child, White, Female, 0, 0, 12, United-States, <=50K.
+18, ?, 62854, 11th, 7, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+61, ?, 31285, 7th-8th, 4, Separated, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+36, Private, 199217, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K.
+47, Local-gov, 40690, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+46, Private, 315671, 7th-8th, 4, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 30, United-States, <=50K.
+23, Private, 180339, HS-grad, 9, Separated, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+28, Private, 119545, Bachelors, 13, Separated, Sales, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K.
+23, Private, 195508, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+31, Private, 364657, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, >50K.
+49, Federal-gov, 168598, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 40, United-States, >50K.
+33, Private, 178683, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 5013, 0, 40, United-States, <=50K.
+27, Private, 123116, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 2057, 49, United-States, <=50K.
+33, Private, 251117, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K.
+35, Local-gov, 42893, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 5721, 0, 40, United-States, <=50K.
+19, Private, 386492, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 16, United-States, <=50K.
+31, Private, 249869, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+55, Private, 116219, Some-college, 10, Divorced, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K.
+33, Private, 168981, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+67, ?, 137894, Bachelors, 13, Widowed, ?, Not-in-family, White, Female, 0, 0, 16, United-States, >50K.
+19, State-gov, 139091, Some-college, 10, Never-married, Other-service, Own-child, Black, Male, 0, 0, 35, United-States, <=50K.
+25, Private, 219199, 11th, 7, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+38, Private, 191455, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 10, United-States, <=50K.
+39, Private, 325374, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 40, United-States, >50K.
+77, ?, 180425, Masters, 14, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 25, United-States, <=50K.
+43, Private, 149871, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+30, Private, 342730, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K.
+41, Private, 252392, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K.
+60, Private, 193864, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+38, Self-emp-inc, 139364, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 15024, 0, 35, United-States, >50K.
+20, Private, 253612, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 30, United-States, <=50K.
+34, Private, 287168, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+17, Private, 364952, 10th, 6, Married-spouse-absent, Other-service, Other-relative, White, Male, 0, 0, 40, United-States, <=50K.
+45, Private, 82797, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K.
+31, Private, 100135, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+54, Local-gov, 287831, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 55, United-States, >50K.
+41, Self-emp-not-inc, 140108, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 30, United-States, <=50K.
+19, Private, 180917, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+51, Private, 29036, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+42, Self-emp-not-inc, 221581, HS-grad, 9, Married-spouse-absent, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+63, Local-gov, 382882, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+35, Private, 237091, HS-grad, 9, Married-civ-spouse, Priv-house-serv, Other-relative, White, Female, 0, 0, 20, Columbia, <=50K.
+19, Private, 134252, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 15, United-States, <=50K.
+29, Private, 269354, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+58, Private, 226922, HS-grad, 9, Separated, Other-service, Not-in-family, White, Female, 2907, 0, 43, United-States, <=50K.
+37, Self-emp-not-inc, 191841, Bachelors, 13, Divorced, Other-service, Unmarried, White, Female, 0, 0, 48, United-States, <=50K.
+28, Private, 37805, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K.
+52, Private, 590522, 5th-6th, 3, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 2002, 45, United-States, <=50K.
+51, Private, 202752, 12th, 8, Separated, Transport-moving, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+34, ?, 304872, Some-college, 10, Widowed, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+28, Private, 228075, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+43, Private, 163831, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+32, Private, 32326, Bachelors, 13, Married-civ-spouse, Craft-repair, Wife, White, Female, 0, 0, 40, United-States, >50K.
+40, Private, 179809, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, >50K.
+35, Private, 76878, 7th-8th, 4, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, Italy, <=50K.
+44, Federal-gov, 210492, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K.
+56, Private, 105582, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 45, United-States, >50K.
+44, Private, 160369, Some-college, 10, Married-civ-spouse, Priv-house-serv, Husband, White, Male, 0, 0, 2, United-States, <=50K.
+27, Private, 364986, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K.
+56, ?, 169278, Some-college, 10, Widowed, ?, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K.
+52, Local-gov, 76081, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K.
+27, State-gov, 234135, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+35, Self-emp-inc, 187693, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 80, United-States, >50K.
+32, Private, 188362, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+34, Private, 235271, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 86, United-States, >50K.
+34, Private, 51854, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+31, Private, 103772, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+55, Federal-gov, 300670, Bachelors, 13, Married-spouse-absent, Exec-managerial, Not-in-family, Black, Male, 0, 0, 40, United-States, >50K.
+45, Private, 175990, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 38, United-States, <=50K.
+43, Private, 173590, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K.
+38, State-gov, 156866, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, Other, Male, 0, 0, 40, United-States, >50K.
+56, Private, 71388, 9th, 5, Separated, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+40, Private, 228659, Assoc-acdm, 12, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+55, Self-emp-not-inc, 110844, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+52, Private, 149908, Prof-school, 15, Divorced, Prof-specialty, Unmarried, White, Female, 25236, 0, 44, United-States, >50K.
+28, Private, 93021, 5th-6th, 3, Never-married, Machine-op-inspct, Unmarried, Other, Female, 0, 0, 40, ?, <=50K.
+19, Local-gov, 273187, HS-grad, 9, Never-married, Protective-serv, Own-child, White, Female, 0, 0, 36, United-States, <=50K.
+19, Private, 62419, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K.
+24, Private, 218957, Some-college, 10, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 24, ?, <=50K.
+48, Private, 182715, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 48, United-States, <=50K.
+29, Private, 157103, Assoc-voc, 11, Never-married, Tech-support, Own-child, Black, Male, 0, 1974, 40, United-States, <=50K.
+54, Private, 133963, Some-college, 10, Widowed, Sales, Unmarried, White, Female, 0, 0, 20, United-States, <=50K.
+26, Private, 151724, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K.
+58, Private, 196502, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K.
+37, Self-emp-inc, 199816, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K.
+41, Private, 413365, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+65, Private, 195568, Some-college, 10, Widowed, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K.
+43, Private, 186245, 7th-8th, 4, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+33, Private, 279231, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1977, 40, United-States, >50K.
+55, Federal-gov, 171870, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 46, United-States, >50K.
+32, Private, 127651, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 46, United-States, >50K.
+56, Self-emp-not-inc, 289605, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+29, Private, 130856, Assoc-voc, 11, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+34, State-gov, 49539, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+39, Self-emp-not-inc, 263081, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, Black, Male, 0, 0, 50, United-States, <=50K.
+56, Local-gov, 205759, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+33, Private, 358655, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 10, United-States, <=50K.
+51, Private, 186299, Preschool, 1, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K.
+47, Private, 289517, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K.
+22, Private, 105686, HS-grad, 9, Never-married, Handlers-cleaners, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+58, Local-gov, 81132, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Asian-Pac-Islander, Male, 0, 0, 80, Philippines, >50K.
+25, Private, 68302, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+34, Private, 443546, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+34, Self-emp-not-inc, 195891, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, ?, >50K.
+35, Private, 99462, HS-grad, 9, Divorced, Tech-support, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K.
+36, Private, 224541, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+70, ?, 262502, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 1844, 24, United-States, <=50K.
+41, Private, 118921, HS-grad, 9, Divorced, Handlers-cleaners, Unmarried, White, Female, 0, 0, 60, United-States, <=50K.
+46, Private, 155489, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K.
+38, Self-emp-not-inc, 248919, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 27828, 0, 35, United-States, >50K.
+47, Private, 139268, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 27828, 0, 38, United-States, >50K.
+43, Self-emp-not-inc, 245056, Preschool, 1, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, Haiti, <=50K.
+39, Private, 433592, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 45, United-States, >50K.
+29, Private, 336624, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 8614, 0, 40, United-States, >50K.
+47, Private, 177858, Bachelors, 13, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female, 27828, 0, 60, United-States, >50K.
+37, Private, 207066, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+19, Private, 56750, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K.
+67, Private, 110331, 9th, 5, Divorced, Adm-clerical, Other-relative, White, Female, 0, 0, 20, United-States, <=50K.
+40, Private, 84801, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 40, United-States, >50K.
+53, Local-gov, 175897, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+31, Private, 369027, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 37, United-States, <=50K.
+56, Private, 170411, HS-grad, 9, Divorced, Protective-serv, Own-child, White, Male, 4101, 0, 38, United-States, <=50K.
+47, Private, 171751, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+37, Private, 61518, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+31, Private, 214235, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 1977, 40, United-States, >50K.
+42, ?, 56483, Some-college, 10, Married-AF-spouse, ?, Wife, White, Female, 0, 0, 14, United-States, <=50K.
+44, Private, 154993, Some-college, 10, Separated, Craft-repair, Unmarried, White, Female, 0, 0, 55, United-States, <=50K.
+33, Private, 160594, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 40, United-States, >50K.
+22, Private, 258298, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 35, United-States, <=50K.
+52, Private, 192666, 12th, 8, Separated, Machine-op-inspct, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K.
+33, Private, 156602, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 3325, 0, 43, United-States, <=50K.
+31, Private, 122116, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+75, Local-gov, 73433, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 2467, 40, Canada, <=50K.
+50, Private, 99185, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+36, Private, 203828, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Italy, <=50K.
+58, Local-gov, 101480, Assoc-voc, 11, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+20, Self-emp-inc, 134815, 9th, 5, Never-married, Craft-repair, Unmarried, White, Male, 0, 625, 40, United-States, <=50K.
+36, State-gov, 235195, Some-college, 10, Separated, Prof-specialty, Unmarried, White, Female, 0, 0, 32, United-States, <=50K.
+26, Private, 93169, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+58, Local-gov, 36091, Masters, 14, Never-married, Exec-managerial, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K.
+57, Private, 124318, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 45, United-States, <=50K.
+46, Self-emp-inc, 188861, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 1564, 50, United-States, >50K.
+29, Private, 194402, Masters, 14, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 42, ?, <=50K.
+42, Self-emp-not-inc, 54651, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, Cuba, >50K.
+34, Private, 169496, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K.
+57, Private, 34366, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+35, State-gov, 213076, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+36, Local-gov, 161132, Some-college, 10, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 56, United-States, <=50K.
+46, Private, 479406, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1672, 40, United-States, <=50K.
+39, Private, 115618, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+25, Self-emp-inc, 158033, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K.
+43, Private, 108682, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K.
+26, Private, 430195, 11th, 7, Separated, Other-service, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K.
+46, Local-gov, 138107, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 60, United-States, >50K.
+27, Private, 215014, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+35, Private, 183279, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+68, Self-emp-not-inc, 119056, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 24, United-States, >50K.
+52, Private, 158583, Some-college, 10, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K.
+26, Private, 242464, Assoc-voc, 11, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+27, Private, 35204, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 46, United-States, <=50K.
+52, Private, 233149, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 40, United-States, >50K.
+54, Private, 182855, 7th-8th, 4, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+29, Private, 189346, HS-grad, 9, Never-married, Transport-moving, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+39, Private, 82726, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+38, Private, 179481, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K.
+19, Private, 167428, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 30, United-States, <=50K.
+22, Private, 182117, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+58, Private, 162970, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 1977, 60, United-States, >50K.
+39, Private, 421633, Assoc-acdm, 12, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+20, State-gov, 231931, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+26, Private, 132749, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+22, Private, 254351, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+31, State-gov, 152109, Assoc-voc, 11, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+42, Private, 100479, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K.
+53, Local-gov, 222405, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+32, Private, 117028, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+33, Private, 91163, HS-grad, 9, Separated, Other-service, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K.
+36, Private, 150104, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K.
+39, Private, 114605, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+33, Private, 348152, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+33, Private, 174463, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 35, United-States, <=50K.
+47, Private, 180243, Bachelors, 13, Never-married, Sales, Other-relative, White, Female, 0, 0, 40, United-States, <=50K.
+31, Private, 238816, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+18, Private, 275848, 12th, 8, Never-married, Sales, Other-relative, White, Female, 0, 0, 16, United-States, <=50K.
+51, Private, 114520, HS-grad, 9, Divorced, Sales, Unmarried, White, Male, 0, 0, 16, United-States, <=50K.
+34, State-gov, 275880, Bachelors, 13, Separated, Exec-managerial, Unmarried, Black, Female, 0, 0, 38, United-States, <=50K.
+39, Private, 188148, Some-college, 10, Never-married, Handlers-cleaners, Unmarried, Black, Female, 0, 0, 48, United-States, <=50K.
+42, Private, 112494, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 35, United-States, >50K.
+17, ?, 159771, 10th, 6, Never-married, ?, Own-child, Black, Male, 0, 0, 6, England, <=50K.
+27, Private, 278736, 5th-6th, 3, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Mexico, <=50K.
+20, ?, 354351, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 35, United-States, <=50K.
+33, Private, 252257, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+62, ?, 128230, Masters, 14, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 48, United-States, >50K.
+27, Private, 321456, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+45, Self-emp-inc, 200825, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+19, Private, 86143, HS-grad, 9, Never-married, Sales, Own-child, Asian-Pac-Islander, Male, 0, 0, 20, Philippines, <=50K.
+40, State-gov, 353687, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K.
+43, Local-gov, 212847, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+60, Private, 154589, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 3103, 0, 35, United-States, >50K.
+42, Private, 183765, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+28, Private, 186672, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, Black, Male, 0, 0, 40, Jamaica, <=50K.
+50, Private, 249096, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, >50K.
+27, Private, 190784, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 3137, 0, 45, United-States, <=50K.
+25, Private, 144516, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+53, Private, 124993, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 43, United-States, >50K.
+24, Private, 111376, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+40, Private, 300838, 1st-4th, 2, Married-civ-spouse, Craft-repair, Husband, Other, Male, 0, 0, 40, Mexico, <=50K.
+28, Private, 359049, HS-grad, 9, Never-married, Tech-support, Not-in-family, White, Male, 0, 1092, 60, United-States, <=50K.
+36, ?, 100669, HS-grad, 9, Never-married, ?, Own-child, Asian-Pac-Islander, Male, 0, 0, 25, United-States, <=50K.
+46, Self-emp-not-inc, 366089, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K.
+19, Private, 110998, Some-college, 10, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K.
+23, Private, 60409, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+55, Private, 129263, HS-grad, 9, Divorced, Handlers-cleaners, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+48, Private, 219967, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+45, Private, 171540, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+55, Local-gov, 61708, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+36, Private, 294760, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+35, Private, 209280, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 31, United-States, <=50K.
+31, Private, 208881, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K.
+17, Private, 191535, 11th, 7, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 7, United-States, <=50K.
+31, Private, 143851, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K.
+51, Private, 161599, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, ?, <=50K.
+20, Self-emp-not-inc, 428299, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+32, Self-emp-not-inc, 199366, 10th, 6, Married-spouse-absent, Craft-repair, Own-child, White, Male, 0, 0, 16, United-States, <=50K.
+34, Local-gov, 484911, HS-grad, 9, Never-married, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K.
+37, Private, 390243, HS-grad, 9, Never-married, Transport-moving, Not-in-family, Black, Male, 0, 0, 45, United-States, <=50K.
+55, Self-emp-not-inc, 204502, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 35, United-States, <=50K.
+32, Self-emp-not-inc, 114419, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+49, Private, 79436, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 48, United-States, <=50K.
+54, Private, 141272, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K.
+62, Local-gov, 123749, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+18, Private, 101173, HS-grad, 9, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 35, United-States, <=50K.
+49, Private, 39518, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K.
+26, Private, 250038, 9th, 5, Never-married, Farming-fishing, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K.
+59, Self-emp-inc, 165695, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 20, United-States, >50K.
+48, Local-gov, 225594, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+21, State-gov, 51979, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 11, United-States, <=50K.
+31, Private, 177675, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K.
+37, Private, 199739, Some-college, 10, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+38, Private, 27408, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K.
+28, Private, 110169, Assoc-voc, 11, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 3, United-States, <=50K.
+39, Self-emp-not-inc, 179488, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+30, Private, 118551, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 35, United-States, >50K.
+71, Self-emp-not-inc, 157845, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 20, United-States, <=50K.
+37, Self-emp-not-inc, 68899, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, >50K.
+53, Private, 58535, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+39, Private, 191503, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1887, 40, United-States, >50K.
+34, Private, 113364, Assoc-acdm, 12, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 35, United-States, <=50K.
+34, Self-emp-not-inc, 204742, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 62, United-States, <=50K.
+21, Private, 163870, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 40, ?, <=50K.
+53, Private, 208122, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, Other, Male, 0, 0, 60, United-States, >50K.
+46, Local-gov, 174361, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+23, Private, 265077, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 1055, 0, 10, United-States, <=50K.
+50, Private, 241648, Assoc-voc, 11, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K.
+30, Private, 94145, HS-grad, 9, Divorced, Adm-clerical, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K.
+32, Private, 178449, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+23, Private, 236804, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K.
+53, Self-emp-not-inc, 187830, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 35, United-States, >50K.
+41, Private, 66208, Prof-school, 15, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 45, United-States, <=50K.
+42, Private, 219155, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 50, United-States, >50K.
+38, Private, 99146, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 65, United-States, <=50K.
+45, Private, 142889, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 44, United-States, <=50K.
+56, Private, 136164, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+36, Private, 154410, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+65, Private, 113293, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+41, Private, 195096, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+42, Private, 172641, 7th-8th, 4, Separated, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+43, Private, 265072, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 0, 2258, 50, United-States, >50K.
+22, Private, 305874, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+51, Private, 312446, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 37, United-States, >50K.
+21, Private, 391312, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 30, United-States, <=50K.
+32, Private, 234976, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 55, United-States, <=50K.
+19, Private, 199495, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+53, Private, 98561, HS-grad, 9, Widowed, Tech-support, Not-in-family, White, Male, 0, 0, 39, United-States, >50K.
+43, Private, 176452, 9th, 5, Married-spouse-absent, Craft-repair, Not-in-family, White, Male, 0, 0, 50, ?, >50K.
+17, Private, 188996, 9th, 5, Never-married, Sales, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K.
+46, State-gov, 171926, Masters, 14, Divorced, Exec-managerial, Unmarried, White, Male, 7430, 0, 50, United-States, >50K.
+45, Local-gov, 310260, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K.
+52, Private, 72257, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+37, Self-emp-not-inc, 86643, Assoc-acdm, 12, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+18, Private, 115815, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K.
+53, Private, 227475, Bachelors, 13, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+45, Local-gov, 324550, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 40, United-States, >50K.
+37, Private, 138105, HS-grad, 9, Separated, Craft-repair, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+19, Private, 146189, 11th, 7, Never-married, Sales, Unmarried, Amer-Indian-Eskimo, Male, 0, 0, 43, United-States, <=50K.
+25, Private, 478836, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+57, Private, 513440, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, Mexico, <=50K.
+19, Private, 151806, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+45, Private, 363253, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, ?, >50K.
+54, Self-emp-inc, 263925, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+29, Private, 57617, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 34, United-States, <=50K.
+32, Private, 208761, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K.
+49, Private, 169092, HS-grad, 9, Married-civ-spouse, Adm-clerical, Other-relative, White, Female, 0, 0, 40, ?, <=50K.
+34, Private, 173854, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Male, 27828, 0, 60, United-States, >50K.
+46, Local-gov, 116906, Masters, 14, Never-married, Prof-specialty, Not-in-family, Black, Female, 0, 2258, 35, United-States, <=50K.
+43, Private, 163769, 10th, 6, Separated, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+32, Federal-gov, 72630, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 14084, 0, 55, United-States, >50K.
+58, ?, 141409, Assoc-voc, 11, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+67, Private, 24968, 9th, 5, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+24, Private, 118514, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+19, ?, 116834, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 25, United-States, <=50K.
+42, Self-emp-not-inc, 99185, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K.
+32, Private, 121769, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+59, Private, 160271, 7th-8th, 4, Separated, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+34, Private, 123429, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+24, Private, 744929, HS-grad, 9, Never-married, Exec-managerial, Own-child, Black, Female, 0, 0, 40, United-States, <=50K.
+21, Private, 143604, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 12, United-States, <=50K.
+36, Private, 284582, Some-college, 10, Separated, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+38, ?, 229363, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 4, United-States, <=50K.
+53, Private, 161482, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, >50K.
+24, Self-emp-not-inc, 107452, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+38, State-gov, 534775, Some-college, 10, Never-married, Tech-support, Unmarried, Black, Female, 0, 0, 50, United-States, <=50K.
+51, Private, 183200, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 40, United-States, <=50K.
+42, Private, 169980, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 50, United-States, >50K.
+22, Private, 299047, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 30, United-States, <=50K.
+53, Private, 92475, Some-college, 10, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K.
+51, Private, 114758, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, >50K.
+65, Self-emp-not-inc, 55894, Prof-school, 15, Divorced, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+40, Private, 98466, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+39, Private, 170174, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, White, Male, 14344, 0, 40, United-States, >50K.
+54, Private, 335177, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 45, ?, <=50K.
+24, Private, 511231, HS-grad, 9, Never-married, Other-service, Own-child, Black, Male, 0, 0, 40, United-States, <=50K.
+32, Local-gov, 257849, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+40, Local-gov, 208751, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+36, Private, 383566, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 55, England, >50K.
+47, ?, 214605, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+40, State-gov, 243664, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, Black, Female, 0, 0, 40, United-States, <=50K.
+41, Private, 176716, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 40, United-States, >50K.
+38, Private, 366618, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+36, Self-emp-inc, 83748, Some-college, 10, Married-civ-spouse, Exec-managerial, Other-relative, Asian-Pac-Islander, Female, 0, 0, 70, South, <=50K.
+64, Private, 278585, HS-grad, 9, Separated, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+47, Private, 106942, 7th-8th, 4, Separated, Other-service, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K.
+22, Private, 372898, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+48, Private, 183610, Assoc-voc, 11, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+45, Private, 106061, 11th, 7, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 70, United-States, <=50K.
+58, State-gov, 138130, HS-grad, 9, Never-married, Tech-support, Own-child, Black, Female, 0, 0, 40, United-States, <=50K.
+48, Private, 43479, Assoc-voc, 11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 5013, 0, 40, United-States, <=50K.
+49, Private, 118520, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K.
+34, Federal-gov, 207284, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+43, State-gov, 598995, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, Black, Female, 3103, 0, 40, United-States, >50K.
+50, State-gov, 141608, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 30, United-States, <=50K.
+31, Private, 230912, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K.
+31, Private, 309170, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+57, Private, 27459, HS-grad, 9, Married-spouse-absent, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+33, Self-emp-not-inc, 266674, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 56, United-States, >50K.
+52, Private, 93127, 11th, 7, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 32, United-States, <=50K.
+43, Self-emp-inc, 27444, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 99999, 0, 40, United-States, >50K.
+30, Private, 131415, Bachelors, 13, Never-married, Priv-house-serv, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K.
+54, Private, 105428, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 1741, 40, United-States, <=50K.
+36, Private, 139364, Bachelors, 13, Married-spouse-absent, Exec-managerial, Not-in-family, White, Male, 10520, 0, 40, Ireland, >50K.
+43, Private, 236936, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 47, United-States, >50K.
+35, Private, 109204, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+56, Private, 456592, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 37, United-States, <=50K.
+34, Self-emp-not-inc, 173201, Masters, 14, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 50, Cuba, <=50K.
+19, ?, 183408, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+51, Private, 111721, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 35, United-States, <=50K.
+39, Private, 268258, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, Black, Male, 7688, 0, 50, United-States, >50K.
+59, Private, 128258, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 38, United-States, <=50K.
+46, Self-emp-not-inc, 525848, 11th, 7, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 48, United-States, <=50K.
+39, Private, 124090, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+67, Private, 249043, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 6767, 0, 40, United-States, <=50K.
+38, Private, 119098, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K.
+70, ?, 30772, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+22, Local-gov, 49414, Some-college, 10, Never-married, Adm-clerical, Own-child, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K.
+30, Private, 197886, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, >50K.
+39, Without-pay, 334291, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+21, ?, 171156, Some-college, 10, Never-married, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+78, ?, 109498, 9th, 5, Widowed, ?, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+43, Self-emp-not-inc, 83411, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 2415, 40, United-States, >50K.
+47, Local-gov, 209968, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 40, United-States, >50K.
+20, Private, 223921, 12th, 8, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+52, Local-gov, 133403, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K.
+50, Private, 75763, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 65, United-States, <=50K.
+34, Private, 200401, HS-grad, 9, Separated, Transport-moving, Own-child, White, Male, 0, 0, 25, Columbia, <=50K.
+45, Private, 55272, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+51, Local-gov, 194970, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+38, Self-emp-not-inc, 143385, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 80, United-States, <=50K.
+30, Private, 180317, Assoc-voc, 11, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+19, Private, 255176, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+37, Local-gov, 175120, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+38, Self-emp-inc, 66687, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 5178, 0, 50, Portugal, >50K.
+27, Federal-gov, 115705, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 7298, 0, 50, United-States, >50K.
+17, ?, 197732, 11th, 7, Never-married, ?, Own-child, White, Female, 0, 0, 20, England, <=50K.
+32, Private, 111883, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+23, Private, 210474, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+26, Private, 123472, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+24, Private, 257621, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+35, Private, 341943, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K.
+57, Private, 181242, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+40, Federal-gov, 187164, Bachelors, 13, Never-married, Tech-support, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+32, Private, 308365, HS-grad, 9, Never-married, Craft-repair, Other-relative, Black, Male, 0, 0, 38, United-States, <=50K.
+53, Self-emp-not-inc, 263439, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K.
+23, Private, 442359, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 8614, 0, 15, United-States, >50K.
+54, Self-emp-not-inc, 166368, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K.
+21, Private, 116968, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 2597, 0, 40, United-States, <=50K.
+26, Private, 57593, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+29, Private, 247507, 10th, 6, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 43, United-States, <=50K.
+38, Private, 213512, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+19, Private, 71691, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 18, United-States, <=50K.
+28, ?, 147719, Some-college, 10, Never-married, ?, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 48, India, <=50K.
+40, Private, 244835, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 50, United-States, >50K.
+21, ?, 285830, HS-grad, 9, Never-married, ?, Own-child, Asian-Pac-Islander, Female, 0, 0, 20, Laos, <=50K.
+37, Private, 386461, 5th-6th, 3, Divorced, Machine-op-inspct, Unmarried, White, Male, 0, 0, 45, Mexico, <=50K.
+41, Private, 154714, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+47, Private, 281401, 5th-6th, 3, Divorced, Sales, Other-relative, White, Female, 0, 0, 32, Mexico, <=50K.
+35, Private, 189251, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, Iran, <=50K.
+39, State-gov, 102729, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+29, Private, 327766, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 55, United-States, >50K.
+29, Private, 168479, Masters, 14, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+54, Private, 249352, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+24, Private, 300008, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+32, Private, 296466, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, >50K.
+47, Private, 199277, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, Portugal, >50K.
+36, Private, 174242, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K.
+63, Private, 130968, 9th, 5, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+25, Private, 288440, Bachelors, 13, Never-married, Tech-support, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+36, Private, 208358, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K.
+40, Self-emp-not-inc, 458168, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+23, Private, 37894, HS-grad, 9, Separated, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+38, Self-emp-not-inc, 107410, 9th, 5, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, >50K.
+24, ?, 96844, Some-college, 10, Never-married, ?, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K.
+53, Private, 402016, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 52, United-States, >50K.
+60, Private, 258869, Doctorate, 16, Separated, Priv-house-serv, Unmarried, White, Female, 0, 0, 30, Nicaragua, <=50K.
+35, Private, 114087, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 5013, 0, 40, United-States, <=50K.
+33, Private, 116294, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, >50K.
+21, Private, 241523, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+23, ?, 163053, 10th, 6, Never-married, ?, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K.
+18, Never-worked, 162908, 11th, 7, Never-married, ?, Own-child, White, Male, 0, 0, 35, United-States, <=50K.
+45, State-gov, 310049, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, >50K.
+37, Private, 293475, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+60, Local-gov, 169015, Some-college, 10, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+21, Private, 325762, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K.
+37, Self-emp-not-inc, 101561, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, >50K.
+41, State-gov, 52131, HS-grad, 9, Divorced, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+30, Private, 163867, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+29, Private, 204663, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 3325, 0, 40, United-States, <=50K.
+18, ?, 233136, 11th, 7, Never-married, ?, Own-child, White, Female, 0, 0, 15, United-States, <=50K.
+61, Self-emp-not-inc, 48846, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K.
+30, Private, 264351, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 25, Ecuador, <=50K.
+41, Private, 190205, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+29, Private, 254450, Assoc-voc, 11, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+28, Self-emp-not-inc, 29974, Assoc-voc, 11, Never-married, Farming-fishing, Own-child, White, Male, 10520, 0, 45, United-States, >50K.
+53, Federal-gov, 40641, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K.
+73, Self-emp-not-inc, 256401, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 28, United-States, >50K.
+25, Private, 203833, 10th, 6, Never-married, Farming-fishing, Not-in-family, Black, Male, 0, 0, 35, Haiti, <=50K.
+30, Private, 277455, HS-grad, 9, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+38, Private, 176335, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+51, Private, 394690, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+23, State-gov, 71996, Bachelors, 13, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female, 0, 0, 52, United-States, <=50K.
+73, Self-emp-not-inc, 110787, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 1409, 0, 2, United-States, <=50K.
+37, State-gov, 157641, Some-college, 10, Never-married, Protective-serv, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K.
+72, Private, 164724, Bachelors, 13, Divorced, Sales, Unmarried, White, Female, 0, 0, 28, United-States, <=50K.
+30, Self-emp-not-inc, 173792, Some-college, 10, Separated, Prof-specialty, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+23, Private, 163595, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+27, Private, 132412, 10th, 6, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, ?, <=50K.
+22, Private, 193089, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 43, United-States, <=50K.
+28, Private, 190525, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+30, Private, 175878, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 42, United-States, >50K.
+21, Private, 161902, 11th, 7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+35, Private, 211494, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 8614, 0, 40, ?, >50K.
+42, Private, 89003, Bachelors, 13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+31, Private, 344200, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+29, Private, 62345, HS-grad, 9, Married-civ-spouse, Other-service, Other-relative, Asian-Pac-Islander, Female, 0, 0, 40, ?, <=50K.
+35, Private, 85799, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+27, ?, 26754, Bachelors, 13, Married-civ-spouse, ?, Wife, Asian-Pac-Islander, Female, 0, 0, 10, China, <=50K.
+26, Private, 193347, Some-college, 10, Divorced, Sales, Own-child, White, Female, 0, 0, 28, United-States, <=50K.
+45, Self-emp-not-inc, 176814, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 3411, 0, 40, United-States, <=50K.
+27, Private, 336162, Some-college, 10, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K.
+39, Private, 98975, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 8614, 0, 50, United-States, >50K.
+71, Private, 150943, Bachelors, 13, Widowed, Exec-managerial, Other-relative, White, Female, 0, 0, 40, United-States, <=50K.
+22, Local-gov, 131573, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 25, United-States, <=50K.
+51, Private, 138852, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+48, Private, 35406, Assoc-voc, 11, Separated, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K.
+48, Private, 167159, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+21, Private, 80680, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 64, United-States, <=50K.
+55, Self-emp-inc, 87584, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 10, United-States, <=50K.
+33, Private, 56121, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K.
+35, Private, 284358, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+22, Private, 224969, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+22, Private, 209034, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K.
+33, ?, 177733, 7th-8th, 4, Never-married, ?, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K.
+19, Private, 57366, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 30, United-States, <=50K.
+23, Private, 35633, 7th-8th, 4, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+29, Private, 191177, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K.
+75, Private, 199826, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 0, 0, 36, United-States, >50K.
+54, Self-emp-not-inc, 94323, 9th, 5, Married-civ-spouse, Craft-repair, Wife, Amer-Indian-Eskimo, Female, 0, 2163, 15, United-States, <=50K.
+60, ?, 380268, Prof-school, 15, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, >50K.
+90, Private, 272752, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 10, United-States, <=50K.
+34, Private, 228386, HS-grad, 9, Married-civ-spouse, Craft-repair, Wife, Black, Female, 0, 0, 70, United-States, <=50K.
+20, Private, 187149, HS-grad, 9, Never-married, Craft-repair, Own-child, Black, Female, 0, 0, 40, United-States, <=50K.
+24, Local-gov, 335439, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K.
+24, Private, 250630, Bachelors, 13, Never-married, Sales, Unmarried, White, Female, 0, 0, 45, United-States, <=50K.
+45, Local-gov, 272182, Some-college, 10, Married-civ-spouse, Tech-support, Husband, Black, Male, 5013, 0, 40, United-States, <=50K.
+29, Private, 108574, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, >50K.
+47, State-gov, 185400, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+24, Private, 406641, HS-grad, 9, Never-married, Sales, Unmarried, White, Female, 0, 0, 50, United-States, <=50K.
+29, Private, 103634, HS-grad, 9, Never-married, Protective-serv, Unmarried, White, Male, 0, 0, 35, United-States, <=50K.
+46, Private, 261059, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+66, Private, 199374, Masters, 14, Widowed, Sales, Unmarried, White, Female, 0, 0, 20, United-States, <=50K.
+41, Private, 405172, Assoc-acdm, 12, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, ?, >50K.
+32, Private, 147654, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1902, 40, United-States, >50K.
+51, Private, 129301, 9th, 5, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+29, Private, 173789, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+29, Private, 212588, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+39, Self-emp-not-inc, 457453, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+65, Private, 187493, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 20051, 0, 40, Germany, >50K.
+57, Self-emp-not-inc, 20953, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 2129, 70, United-States, <=50K.
+40, Private, 131650, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+60, Private, 290754, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, ?, <=50K.
+46, State-gov, 114396, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+19, Private, 202102, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+47, Private, 318360, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 55, United-States, >50K.
+39, Private, 160916, 9th, 5, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+32, ?, 913447, HS-grad, 9, Divorced, ?, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K.
+30, Private, 293931, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 65, United-States, <=50K.
+20, Private, 230824, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 25, United-States, <=50K.
+20, ?, 358355, 12th, 8, Never-married, ?, Unmarried, White, Female, 0, 0, 35, United-States, <=50K.
+62, Private, 584259, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 44, United-States, <=50K.
+44, ?, 208726, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+38, Private, 185556, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, >50K.
+58, Local-gov, 100054, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+44, Private, 172307, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 50, United-States, >50K.
+45, Private, 30840, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Male, 27828, 0, 50, United-States, >50K.
+27, Private, 147839, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K.
+51, Private, 54465, Assoc-voc, 11, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K.
+52, Federal-gov, 418640, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 40, Haiti, >50K.
+34, Private, 222130, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+41, Private, 187336, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+30, Local-gov, 321024, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+44, Private, 351262, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 38, United-States, >50K.
+28, Private, 181597, HS-grad, 9, Never-married, Craft-repair, Own-child, Black, Male, 0, 0, 40, United-States, <=50K.
+41, Private, 694105, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+60, Private, 241013, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+44, Self-emp-inc, 223881, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, ?, >50K.
+40, Federal-gov, 158796, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, Philippines, <=50K.
+41, Private, 248476, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+49, Private, 191277, Assoc-voc, 11, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 30, Thailand, <=50K.
+26, Private, 273876, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K.
+33, Private, 402848, HS-grad, 9, Married-spouse-absent, Adm-clerical, Other-relative, White, Female, 0, 0, 32, United-States, <=50K.
+62, Private, 82906, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 4064, 0, 35, England, <=50K.
+45, Private, 153682, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, >50K.
+52, Private, 122412, Doctorate, 16, Married-civ-spouse, Prof-specialty, Wife, White, Female, 99999, 0, 35, United-States, >50K.
+26, Private, 216819, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+47, Private, 189680, HS-grad, 9, Separated, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, >50K.
+41, Private, 147099, Masters, 14, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+38, Private, 288158, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K.
+32, Private, 146161, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+65, ?, 104454, Bachelors, 13, Widowed, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+50, Private, 91475, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+32, Self-emp-not-inc, 151868, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 5013, 0, 65, United-States, <=50K.
+19, Private, 118306, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+33, Private, 51543, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+34, Private, 69727, 1st-4th, 2, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Mexico, <=50K.
+60, Private, 186000, 10th, 6, Separated, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+25, Private, 48280, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+47, Private, 186935, 11th, 7, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+24, Federal-gov, 104164, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+38, Private, 339677, Masters, 14, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 40, ?, >50K.
+37, Private, 123586, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male, 0, 1902, 73, ?, >50K.
+19, Private, 150073, Some-college, 10, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 25, United-States, <=50K.
+24, Private, 59792, Masters, 14, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K.
+52, Private, 24185, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 84, United-States, <=50K.
+87, ?, 97295, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 3, United-States, <=50K.
+27, Without-pay, 35034, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+46, Private, 118714, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 40, United-States, >50K.
+33, Private, 230883, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Male, 0, 2824, 48, United-States, >50K.
+45, Private, 149224, HS-grad, 9, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 50, United-States, <=50K.
+35, Private, 122493, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+58, Private, 441227, 11th, 7, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 60, United-States, <=50K.
+45, Local-gov, 272792, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, Black, Female, 0, 0, 50, United-States, >50K.
+41, Private, 303521, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 4650, 0, 45, United-States, <=50K.
+40, Private, 226027, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 20, United-States, <=50K.
+36, Private, 94565, Assoc-voc, 11, Divorced, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+65, Self-emp-not-inc, 336848, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+20, Private, 162688, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 35, United-States, <=50K.
+30, State-gov, 45737, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+60, ?, 147393, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 30, United-States, <=50K.
+52, Private, 335997, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 7688, 0, 38, United-States, >50K.
+26, Private, 96645, Doctorate, 16, Never-married, Craft-repair, Other-relative, Black, Male, 0, 0, 20, United-States, <=50K.
+35, State-gov, 43712, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+45, Private, 101825, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 5721, 0, 45, United-States, <=50K.
+45, Private, 102318, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K.
+40, State-gov, 132125, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+31, Self-emp-inc, 229741, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1579, 45, United-States, <=50K.
+60, State-gov, 265201, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K.
+47, ?, 332884, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 45, United-States, >50K.
+39, Private, 179481, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+33, Private, 304833, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K.
+31, Private, 341632, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, Black, Male, 0, 0, 46, United-States, <=50K.
+21, Private, 140001, Some-college, 10, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+30, Private, 159123, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+33, Private, 229636, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K.
+35, Private, 34996, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K.
+53, Self-emp-not-inc, 67198, 7th-8th, 4, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 80, United-States, <=50K.
+65, Self-emp-inc, 323636, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 10605, 0, 40, United-States, >50K.
+45, Private, 182689, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 40, United-States, >50K.
+25, Private, 51392, Assoc-voc, 11, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+43, Private, 177905, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+36, Private, 143152, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+37, State-gov, 211286, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K.
+33, Private, 217962, Some-college, 10, Never-married, Machine-op-inspct, Unmarried, Black, Male, 0, 0, 40, ?, <=50K.
+48, Private, 309212, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, Germany, <=50K.
+19, ?, 97261, Some-college, 10, Never-married, ?, Own-child, White, Male, 594, 0, 30, United-States, <=50K.
+46, Self-emp-not-inc, 188273, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 15024, 0, 50, United-States, >50K.
+21, Private, 93977, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+62, Self-emp-inc, 163234, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 55, United-States, >50K.
+50, Local-gov, 166423, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K.
+33, Private, 239071, Bachelors, 13, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 46, United-States, <=50K.
+40, Private, 190292, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+38, Private, 170783, Assoc-voc, 11, Divorced, Other-service, Own-child, White, Male, 0, 0, 25, United-States, <=50K.
+28, Private, 239539, HS-grad, 9, Never-married, Craft-repair, Own-child, Asian-Pac-Islander, Male, 0, 0, 45, United-States, <=50K.
+48, Private, 164200, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+52, Private, 177647, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 47, United-States, <=50K.
+44, Self-emp-not-inc, 86750, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 4508, 0, 72, United-States, <=50K.
+25, Private, 176981, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+59, Federal-gov, 134153, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 7298, 0, 38, United-States, >50K.
+35, Private, 245372, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+26, Private, 168236, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+27, Private, 448841, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+44, Self-emp-inc, 144778, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 8614, 0, 50, United-States, >50K.
+30, Private, 155914, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K.
+34, Federal-gov, 117362, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+50, Local-gov, 82783, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K.
+30, Private, 207301, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K.
+41, Private, 606347, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+61, Local-gov, 149981, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+29, Private, 234972, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K.
+33, Private, 437566, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, >50K.
+33, Private, 243266, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, Dominican-Republic, >50K.
+31, Private, 203408, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+43, Self-emp-not-inc, 297510, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K.
+18, Private, 211683, 12th, 8, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K.
+41, Private, 167375, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 52, United-States, <=50K.
+36, Private, 297449, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K.
+42, Self-emp-not-inc, 342634, Assoc-voc, 11, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Cambodia, <=50K.
+49, Private, 38819, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K.
+18, Private, 164571, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+36, Local-gov, 122353, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 68, United-States, <=50K.
+26, Self-emp-not-inc, 192652, Some-college, 10, Never-married, Exec-managerial, Unmarried, White, Male, 0, 0, 15, United-States, <=50K.
+25, Private, 401241, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 4416, 0, 25, United-States, <=50K.
+32, Private, 116539, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+37, Private, 162834, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+31, Local-gov, 226525, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 51, United-States, <=50K.
+18, Private, 219404, 5th-6th, 3, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 48, Mexico, <=50K.
+38, Private, 33394, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+56, Federal-gov, 75804, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K.
+58, Self-emp-not-inc, 359972, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 25, United-States, >50K.
+37, Private, 201247, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+41, Private, 220109, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K.
+59, Private, 118479, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, China, <=50K.
+45, Private, 189123, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+60, Private, 495366, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K.
+31, Private, 53776, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+28, Private, 375980, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+61, Private, 185152, 11th, 7, Widowed, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+52, Local-gov, 230095, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+22, Private, 349198, 7th-8th, 4, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 16, United-States, <=50K.
+41, Private, 59916, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 63, United-States, <=50K.
+32, Private, 214150, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, >50K.
+29, Private, 255187, Some-college, 10, Never-married, Tech-support, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+28, ?, 129624, Some-college, 10, Never-married, ?, Other-relative, White, Male, 0, 0, 40, United-States, <=50K.
+30, Private, 274577, Assoc-acdm, 12, Never-married, Sales, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+51, Private, 257756, HS-grad, 9, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 50, United-States, >50K.
+29, ?, 1024535, 11th, 7, Never-married, ?, Own-child, Black, Male, 0, 0, 40, United-States, <=50K.
+75, Private, 186808, 11th, 7, Married-civ-spouse, Protective-serv, Husband, Black, Male, 6418, 0, 50, United-States, >50K.
+46, Private, 147519, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 0, 0, 80, United-States, <=50K.
+53, Private, 173630, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, >50K.
+42, Private, 136986, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 50, United-States, >50K.
+41, Private, 163287, Bachelors, 13, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K.
+25, Private, 150804, HS-grad, 9, Never-married, Transport-moving, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, Vietnam, <=50K.
+27, Private, 189565, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+47, Private, 165484, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 43, United-States, >50K.
+53, Private, 177727, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+53, Self-emp-inc, 190762, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K.
+38, Private, 246463, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+42, Private, 27661, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 50, United-States, >50K.
+30, Private, 288419, 5th-6th, 3, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Mexico, <=50K.
+57, Local-gov, 258641, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, >50K.
+71, Self-emp-not-inc, 200540, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 2392, 52, United-States, >50K.
+21, Private, 305423, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+35, Private, 148906, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+64, Private, 262645, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K.
+21, Private, 243368, Preschool, 1, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 50, Mexico, <=50K.
+41, Private, 106698, HS-grad, 9, Widowed, Transport-moving, Not-in-family, White, Female, 13550, 0, 60, United-States, >50K.
+22, Private, 186365, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+39, Self-emp-inc, 304001, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 3325, 0, 40, United-States, <=50K.
+38, Self-emp-inc, 125645, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K.
+42, Private, 111468, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 3325, 0, 40, United-States, <=50K.
+32, Private, 136331, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1887, 40, United-States, >50K.
+40, Private, 213849, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+22, Private, 138994, HS-grad, 9, Never-married, Sales, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, Vietnam, <=50K.
+29, Private, 177562, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 3781, 0, 35, United-States, <=50K.
+18, Private, 36251, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K.
+32, Private, 100904, Some-college, 10, Separated, Other-service, Unmarried, Other, Female, 0, 0, 70, United-States, <=50K.
+31, Private, 427474, 11th, 7, Married-civ-spouse, Other-service, Husband, White, Male, 0, 2179, 35, Mexico, <=50K.
+37, Private, 280549, Bachelors, 13, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K.
+34, Private, 75454, 12th, 8, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+31, Private, 203488, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+30, Private, 49795, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+17, Private, 152710, 10th, 6, Never-married, Sales, Own-child, White, Female, 0, 0, 15, United-States, <=50K.
+28, Local-gov, 199172, HS-grad, 9, Separated, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+31, Private, 382583, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, Black, Male, 0, 0, 40, United-States, <=50K.
+32, Self-emp-not-inc, 127295, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, Other, Male, 0, 0, 20, Iran, <=50K.
+46, Local-gov, 274200, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+35, Private, 130540, Masters, 14, Never-married, Prof-specialty, Own-child, White, Male, 0, 1564, 40, United-States, >50K.
+22, Private, 117789, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+20, Self-emp-inc, 83141, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 18, United-States, <=50K.
+20, ?, 229826, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 25, United-States, <=50K.
+36, Self-emp-inc, 176837, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 45, United-States, >50K.
+34, Private, 234096, 9th, 5, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+51, Private, 353317, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 70, United-States, >50K.
+23, Private, 302312, HS-grad, 9, Divorced, Protective-serv, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+17, Private, 181015, 10th, 6, Never-married, Other-service, Other-relative, White, Male, 0, 0, 15, United-States, <=50K.
+36, State-gov, 230329, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 40, United-States, >50K.
+48, Private, 164984, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+33, Private, 229051, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 45, United-States, >50K.
+41, Private, 204415, 11th, 7, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K.
+55, Self-emp-not-inc, 319883, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 4386, 0, 10, ?, >50K.
+25, Private, 185836, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+52, Private, 228516, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 35, United-States, >50K.
+47, Self-emp-not-inc, 242519, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+36, Private, 164866, Bachelors, 13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+35, Private, 33001, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 60, United-States, >50K.
+21, Private, 811615, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 50, United-States, <=50K.
+43, Local-gov, 300099, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 34, United-States, <=50K.
+46, State-gov, 146305, Some-college, 10, Divorced, Tech-support, Not-in-family, Other, Female, 0, 0, 48, United-States, <=50K.
+36, Private, 167482, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 65, United-States, <=50K.
+23, Private, 106615, Assoc-acdm, 12, Never-married, Prof-specialty, Own-child, White, Female, 2176, 0, 25, United-States, <=50K.
+32, Private, 204663, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 45, United-States, <=50K.
+40, Private, 171234, Assoc-voc, 11, Never-married, Prof-specialty, Unmarried, White, Female, 0, 0, 24, United-States, <=50K.
+42, Private, 167174, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 50, China, >50K.
+18, ?, 112137, Some-college, 10, Never-married, ?, Own-child, Other, Female, 0, 0, 20, ?, <=50K.
+18, Private, 116167, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 16, United-States, <=50K.
+41, Private, 106159, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 14344, 0, 48, United-States, >50K.
+52, State-gov, 295826, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 1876, 50, United-States, <=50K.
+26, Private, 233461, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 53, Mexico, <=50K.
+57, Private, 289605, 9th, 5, Never-married, Craft-repair, Not-in-family, White, Male, 0, 1617, 35, United-States, <=50K.
+18, ?, 348533, HS-grad, 9, Never-married, ?, Own-child, White, Female, 0, 0, 3, United-States, <=50K.
+31, Private, 197886, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+27, Private, 120126, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 75, United-States, >50K.
+35, Private, 61343, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+42, Self-emp-not-inc, 116197, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+42, Federal-gov, 236503, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+69, Federal-gov, 47341, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 5, United-States, <=50K.
+25, Private, 248990, 11th, 7, Married-civ-spouse, Machine-op-inspct, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K.
+18, Private, 190776, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K.
+47, Local-gov, 179048, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+28, Private, 213842, Bachelors, 13, Never-married, Tech-support, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+24, Private, 188274, Assoc-acdm, 12, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+22, Private, 86849, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+41, Self-emp-inc, 67671, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, Canada, >50K.
+21, Private, 243890, HS-grad, 9, Never-married, Other-service, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K.
+51, Private, 279337, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 48, United-States, <=50K.
+35, Private, 333636, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 50, ?, >50K.
+58, State-gov, 312351, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+43, Local-gov, 175935, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+20, Private, 245297, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K.
+49, State-gov, 70209, Doctorate, 16, Divorced, Prof-specialty, Not-in-family, White, Female, 14084, 0, 60, United-States, >50K.
+47, Local-gov, 251588, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, United-States, >50K.
+33, Private, 176992, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 3464, 0, 40, United-States, <=50K.
+51, State-gov, 87205, Assoc-acdm, 12, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 38, United-States, <=50K.
+43, Private, 65545, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 46, United-States, <=50K.
+22, Private, 289579, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+34, Private, 360689, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1628, 48, United-States, <=50K.
+43, Private, 57600, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+42, Local-gov, 247082, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 3103, 0, 50, United-States, >50K.
+36, Local-gov, 188798, 11th, 7, Separated, Prof-specialty, Unmarried, Other, Female, 0, 0, 30, United-States, <=50K.
+19, Private, 232261, 9th, 5, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+19, ?, 35507, Some-college, 10, Never-married, ?, Own-child, White, Female, 1055, 0, 40, United-States, <=50K.
+26, Private, 301298, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 50, United-States, <=50K.
+38, Private, 27016, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 43, United-States, <=50K.
+60, Private, 166789, Some-college, 10, Divorced, Tech-support, Not-in-family, White, Male, 0, 1408, 50, United-States, <=50K.
+23, Private, 94071, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+22, Private, 117767, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 18, United-States, <=50K.
+41, Private, 219155, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, Italy, <=50K.
+20, Private, 34616, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+35, Private, 112341, Assoc-voc, 11, Married-spouse-absent, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+28, Private, 220656, 11th, 7, Never-married, Exec-managerial, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+53, Private, 239990, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+36, Private, 139180, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 40, United-States, <=50K.
+52, Private, 215656, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 60, United-States, <=50K.
+43, State-gov, 157999, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K.
+23, Private, 41763, Bachelors, 13, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 30, United-States, <=50K.
+39, Private, 299725, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 37, United-States, <=50K.
+32, Private, 198813, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+32, Private, 431551, 10th, 6, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 35, Mexico, <=50K.
+22, Private, 195767, Bachelors, 13, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 30, United-States, <=50K.
+26, Private, 140649, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+36, Private, 295706, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 70, United-States, >50K.
+32, Private, 324284, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+30, Private, 352426, Some-college, 10, Never-married, Sales, Unmarried, White, Male, 0, 0, 60, Mexico, <=50K.
+39, Private, 126569, Bachelors, 13, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, ?, <=50K.
+81, Private, 106390, 5th-6th, 3, Widowed, Other-service, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 6, United-States, <=50K.
+29, Private, 134813, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+65, Private, 95644, Assoc-acdm, 12, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+50, Private, 254148, 5th-6th, 3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Mexico, <=50K.
+44, Private, 367819, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+30, Private, 162370, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K.
+55, Self-emp-not-inc, 204387, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K.
+60, Federal-gov, 248288, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+44, Private, 175070, Bachelors, 13, Divorced, Sales, Unmarried, White, Female, 0, 0, 75, United-States, <=50K.
+51, Local-gov, 169182, 7th-8th, 4, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, Columbia, <=50K.
+38, Self-emp-not-inc, 223242, Some-college, 10, Married-spouse-absent, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+29, State-gov, 461929, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 3103, 0, 40, United-States, >50K.
+25, Self-emp-not-inc, 114483, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 65, United-States, <=50K.
+45, Private, 260543, Masters, 14, Widowed, Machine-op-inspct, Other-relative, Asian-Pac-Islander, Female, 0, 0, 40, China, <=50K.
+27, Private, 237466, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K.
+57, Private, 335605, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+31, Private, 169122, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 28, United-States, <=50K.
+49, Private, 176907, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K.
+26, Private, 264300, Assoc-acdm, 12, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+34, Private, 159187, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+55, Private, 303090, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1672, 45, United-States, <=50K.
+33, Private, 393702, Assoc-voc, 11, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+19, ?, 177923, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 25, United-States, <=50K.
+21, Private, 191265, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+22, Private, 215074, Some-college, 10, Married-civ-spouse, Other-service, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K.
+19, Private, 30597, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 35, United-States, <=50K.
+35, Self-emp-not-inc, 28996, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+35, Private, 188069, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K.
+55, Private, 53481, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 15, United-States, >50K.
+37, Private, 410034, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+64, Private, 64544, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 12, United-States, <=50K.
+46, Private, 204379, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 37, United-States, <=50K.
+23, Private, 255252, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+26, Private, 178037, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, Ireland, <=50K.
+26, Private, 184303, 5th-6th, 3, Married-spouse-absent, Priv-house-serv, Other-relative, White, Female, 0, 0, 8, El-Salvador, <=50K.
+20, Private, 175800, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K.
+88, Self-emp-not-inc, 263569, 11th, 7, Married-civ-spouse, Farming-fishing, Husband, White, Male, 6418, 0, 40, United-States, >50K.
+42, Private, 234508, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+50, Self-emp-not-inc, 195372, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 36, United-States, <=50K.
+48, Private, 265295, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K.
+40, Private, 184846, HS-grad, 9, Married-civ-spouse, Prof-specialty, Wife, White, Female, 5178, 0, 40, United-States, >50K.
+47, Private, 185400, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 70, United-States, <=50K.
+32, Private, 360689, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+39, Private, 200598, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, <=50K.
+38, Private, 227615, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+25, Private, 308144, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K.
+44, Private, 259674, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 5178, 0, 60, United-States, >50K.
+41, Private, 182217, Some-college, 10, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 30, United-States, <=50K.
+28, Private, 230997, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 60, United-States, <=50K.
+31, Private, 393702, HS-grad, 9, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 36, United-States, <=50K.
+57, Self-emp-not-inc, 130957, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1887, 70, United-States, >50K.
+20, Private, 210444, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 25, United-States, <=50K.
+36, ?, 172775, Some-college, 10, Divorced, ?, Not-in-family, White, Female, 0, 0, 40, United-States, >50K.
+53, Self-emp-inc, 167914, Assoc-acdm, 12, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 1876, 50, United-States, <=50K.
+71, Private, 533660, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+39, Private, 205997, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 21, United-States, <=50K.
+34, Private, 253616, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, >50K.
+49, Private, 148549, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K.
+54, Local-gov, 113649, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+37, Private, 233322, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+43, Self-emp-not-inc, 325775, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 15, United-States, <=50K.
+30, Private, 94235, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+47, Local-gov, 336274, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+43, Private, 147510, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+48, Private, 191389, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K.
+35, Private, 174503, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+24, Private, 160968, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+23, Private, 122797, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+38, Private, 52263, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+21, Private, 249282, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+27, Self-emp-not-inc, 227332, Bachelors, 13, Never-married, Sales, Other-relative, Asian-Pac-Islander, Male, 0, 0, 50, ?, <=50K.
+37, Local-gov, 289238, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+61, Private, 153790, Assoc-acdm, 12, Widowed, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+43, Local-gov, 101563, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+52, Private, 176240, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+56, Private, 131608, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Ireland, >50K.
+27, Private, 198286, Some-college, 10, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+39, Self-emp-not-inc, 222204, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 3325, 0, 40, United-States, <=50K.
+47, Self-emp-not-inc, 148169, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+23, Private, 347867, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K.
+40, Private, 170413, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 1741, 40, United-States, <=50K.
+33, Private, 133861, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 62, United-States, <=50K.
+50, Federal-gov, 289572, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K.
+44, Local-gov, 445382, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 7688, 0, 40, United-States, >50K.
+42, Self-emp-not-inc, 151809, HS-grad, 9, Divorced, Farming-fishing, Unmarried, White, Male, 0, 0, 50, United-States, <=50K.
+49, Private, 368355, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 43, United-States, >50K.
+43, Private, 73333, Prof-school, 15, Never-married, Farming-fishing, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K.
+41, Private, 117585, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1977, 50, United-States, >50K.
+21, Private, 107960, Some-college, 10, Never-married, Transport-moving, Own-child, Asian-Pac-Islander, Male, 0, 0, 20, China, <=50K.
+29, Private, 196117, Bachelors, 13, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+38, Self-emp-not-inc, 126569, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 60, United-States, <=50K.
+25, Private, 216741, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K.
+75, Private, 254167, 10th, 6, Widowed, Priv-house-serv, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K.
+52, Private, 102444, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+33, Private, 38848, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+25, Private, 55360, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K.
+17, Private, 140117, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 14, United-States, <=50K.
+36, Self-emp-not-inc, 66883, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+52, Self-emp-not-inc, 154728, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+22, ?, 184756, Bachelors, 13, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+48, Private, 193047, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K.
+54, Private, 231342, Assoc-acdm, 12, Divorced, Sales, Not-in-family, White, Male, 0, 0, 32, United-States, <=50K.
+27, Private, 310483, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+38, Federal-gov, 174778, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 1980, 40, United-States, <=50K.
+44, Federal-gov, 130749, Bachelors, 13, Separated, Exec-managerial, Unmarried, Black, Female, 0, 0, 60, United-States, <=50K.
+38, Private, 22463, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 15024, 0, 45, United-States, >50K.
+29, Private, 159473, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, Black, Female, 0, 0, 40, United-States, <=50K.
+63, Private, 81605, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+51, State-gov, 68684, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+22, ?, 229799, Some-college, 10, Never-married, ?, Other-relative, White, Male, 0, 0, 45, ?, <=50K.
+17, Private, 124661, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K.
+39, Private, 117381, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K.
+30, Private, 53206, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 47, United-States, >50K.
+52, Private, 172962, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+24, ?, 243923, 9th, 5, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 10, Mexico, <=50K.
+72, Private, 132753, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 15, United-States, <=50K.
+43, Private, 67339, Bachelors, 13, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 15, United-States, <=50K.
+71, Private, 101577, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female, 0, 1668, 20, United-States, <=50K.
+39, Private, 101192, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+51, State-gov, 42901, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 70, United-States, >50K.
+43, Private, 88787, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K.
+39, Private, 306504, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+30, ?, 183746, HS-grad, 9, Never-married, ?, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K.
+19, Self-emp-not-inc, 242965, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 24, United-States, <=50K.
+52, Private, 427475, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 43, United-States, <=50K.
+60, Self-emp-inc, 180512, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K.
+30, Private, 97723, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 30, United-States, <=50K.
+60, Private, 208915, HS-grad, 9, Widowed, Craft-repair, Other-relative, Asian-Pac-Islander, Female, 0, 0, 40, Cambodia, <=50K.
+40, Local-gov, 189189, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 20, United-States, <=50K.
+49, Self-emp-inc, 327258, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 1977, 60, China, >50K.
+31, Private, 254494, Some-college, 10, Never-married, Exec-managerial, Own-child, Black, Male, 0, 0, 40, United-States, <=50K.
+23, Private, 105577, Some-college, 10, Never-married, Priv-house-serv, Not-in-family, White, Female, 0, 0, 26, United-States, <=50K.
+34, Private, 215124, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+27, Private, 192936, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K.
+35, Private, 274158, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, Black, Male, 3103, 0, 40, United-States, >50K.
+19, Private, 318822, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+32, Private, 171889, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 68, United-States, <=50K.
+17, Private, 94492, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 19, United-States, <=50K.
+17, Private, 73820, 12th, 8, Never-married, Sales, Own-child, White, Female, 0, 0, 8, United-States, <=50K.
+38, Private, 32989, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+29, Private, 197382, 11th, 7, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+35, Private, 164526, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+43, Self-emp-inc, 153205, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 70, India, >50K.
+40, Private, 269168, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male, 0, 0, 40, ?, <=50K.
+43, Local-gov, 126847, Masters, 14, Married-spouse-absent, Prof-specialty, Unmarried, White, Female, 7430, 0, 60, United-States, >50K.
+50, State-gov, 211112, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 37, United-States, <=50K.
+29, Private, 100049, HS-grad, 9, Married-spouse-absent, Handlers-cleaners, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K.
+48, State-gov, 104542, Masters, 14, Widowed, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+59, Private, 186479, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+22, Private, 225272, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 20, United-States, <=50K.
+51, Private, 346871, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K.
+29, Private, 142712, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+41, Private, 46221, Prof-school, 15, Never-married, Exec-managerial, Not-in-family, White, Male, 4787, 0, 60, United-States, >50K.
+47, Private, 349151, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, >50K.
+31, Private, 111883, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K.
+32, Private, 46691, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+28, Private, 291789, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 50, United-States, <=50K.
+45, Private, 201699, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1628, 40, United-States, <=50K.
+24, Federal-gov, 219262, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+60, Self-emp-inc, 160079, Masters, 14, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K.
+58, Private, 193374, HS-grad, 9, Never-married, Priv-house-serv, Not-in-family, White, Male, 0, 1719, 40, United-States, <=50K.
+37, ?, 111268, Assoc-voc, 11, Never-married, ?, Own-child, White, Female, 0, 0, 32, United-States, <=50K.
+19, Private, 410632, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+35, Local-gov, 33943, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, Other, Male, 0, 0, 40, United-States, >50K.
+44, Federal-gov, 269792, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 43, United-States, <=50K.
+46, Private, 153328, Some-college, 10, Never-married, Handlers-cleaners, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+47, Private, 162859, HS-grad, 9, Divorced, Other-service, Own-child, Black, Female, 0, 0, 40, United-States, <=50K.
+19, ?, 258664, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+80, Private, 22406, Bachelors, 13, Never-married, Priv-house-serv, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+39, Private, 65624, 7th-8th, 4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 48, United-States, <=50K.
+43, Private, 326232, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+28, Private, 363257, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Black, Male, 0, 0, 50, United-States, <=50K.
+35, Private, 51700, Some-college, 10, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+30, Private, 19678, Bachelors, 13, Married-AF-spouse, Sales, Wife, Asian-Pac-Islander, Female, 0, 0, 60, Philippines, >50K.
+21, Private, 109199, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 15, United-States, <=50K.
+26, State-gov, 36741, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K.
+41, Private, 347653, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+23, Private, 37514, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K.
+48, Private, 355781, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, India, >50K.
+46, Private, 86709, Some-college, 10, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 45, United-States, <=50K.
+44, Self-emp-not-inc, 22933, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+56, Self-emp-inc, 83922, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 84, United-States, <=50K.
+27, Federal-gov, 182637, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, ?, >50K.
+57, Private, 80149, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 40, Germany, >50K.
+60, Self-emp-not-inc, 231770, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 65, United-States, >50K.
+60, ?, 116746, 10th, 6, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+30, Self-emp-not-inc, 189759, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+40, Self-emp-inc, 46221, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 99999, 0, 55, United-States, >50K.
+58, State-gov, 198145, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+31, Private, 35864, Bachelors, 13, Never-married, Sales, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 60, United-States, <=50K.
+44, Federal-gov, 259307, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+46, Private, 129007, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 41, United-States, >50K.
+33, Private, 169104, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 40, China, <=50K.
+37, Private, 198097, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+21, Local-gov, 224640, Assoc-acdm, 12, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+17, ?, 35603, 11th, 7, Never-married, ?, Own-child, White, Female, 0, 0, 16, United-States, <=50K.
+47, Self-emp-not-inc, 85982, Masters, 14, Never-married, Prof-specialty, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 60, United-States, <=50K.
+39, Private, 230467, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 40, Germany, <=50K.
+32, Self-emp-not-inc, 168782, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 32, United-States, <=50K.
+24, Private, 142566, 10th, 6, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+30, Federal-gov, 195337, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Other, Female, 1506, 0, 45, United-States, <=50K.
+24, ?, 99829, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+40, Private, 133456, HS-grad, 9, Married-civ-spouse, Sales, Other-relative, White, Female, 0, 0, 24, United-States, >50K.
+28, Local-gov, 133136, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K.
+25, Private, 211531, 12th, 8, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+30, Private, 243867, Some-college, 10, Never-married, Prof-specialty, Not-in-family, Black, Male, 0, 0, 45, United-States, <=50K.
+47, Local-gov, 284871, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, >50K.
+37, Federal-gov, 188563, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 1876, 40, United-States, <=50K.
+61, Private, 173866, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, >50K.
+23, Private, 114939, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K.
+30, Private, 259425, Assoc-voc, 11, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+48, Private, 59159, HS-grad, 9, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+30, Private, 189439, HS-grad, 9, Married-spouse-absent, Other-service, Unmarried, Black, Female, 0, 0, 38, United-States, <=50K.
+56, Private, 157786, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 48, United-States, >50K.
+41, Self-emp-inc, 289636, Assoc-voc, 11, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K.
+49, Self-emp-inc, 154174, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+56, Private, 70857, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+48, Private, 183000, Some-college, 10, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, United-States, >50K.
+37, Private, 123104, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+21, State-gov, 254620, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 16, United-States, <=50K.
+33, Local-gov, 156464, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+60, Private, 124987, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 20, United-States, <=50K.
+41, Private, 413720, HS-grad, 9, Married-civ-spouse, Transport-moving, Wife, White, Female, 0, 0, 15, United-States, <=50K.
+33, Private, 169886, 12th, 8, Separated, Other-service, Unmarried, White, Female, 0, 0, 50, Dominican-Republic, <=50K.
+31, Private, 228873, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+34, Private, 110622, Masters, 14, Divorced, Exec-managerial, Other-relative, Asian-Pac-Islander, Female, 0, 0, 40, South, <=50K.
+31, ?, 170513, HS-grad, 9, Divorced, ?, Not-in-family, White, Female, 0, 0, 99, United-States, <=50K.
+21, ?, 221418, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+65, Private, 151287, Masters, 14, Separated, Exec-managerial, Not-in-family, Black, Male, 0, 0, 20, United-States, <=50K.
+25, Private, 235218, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+30, Private, 111567, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+24, Private, 251603, Some-college, 10, Never-married, Other-service, Unmarried, White, Female, 0, 0, 20, United-States, <=50K.
+61, Private, 136109, 11th, 7, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K.
+29, Private, 178610, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 21, United-States, <=50K.
+22, Private, 192289, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 30, Puerto-Rico, <=50K.
+30, Private, 49325, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 80, United-States, >50K.
+52, Private, 229375, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+28, Private, 125791, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+48, Private, 75619, HS-grad, 9, Divorced, Transport-moving, Other-relative, White, Male, 0, 0, 60, United-States, <=50K.
+60, Private, 247483, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+38, Private, 289448, Masters, 14, Never-married, Prof-specialty, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, China, >50K.
+22, ?, 122048, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 35, United-States, <=50K.
+21, Private, 177940, HS-grad, 9, Married-spouse-absent, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+32, Self-emp-not-inc, 399088, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 1340, 45, United-States, <=50K.
+38, Private, 108293, Assoc-voc, 11, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 38, United-States, <=50K.
+60, Private, 178249, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 1887, 40, United-States, >50K.
+24, Local-gov, 52262, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+41, Self-emp-not-inc, 143046, Masters, 14, Married-civ-spouse, Exec-managerial, Wife, White, Female, 99999, 0, 50, United-States, >50K.
+59, Private, 124318, HS-grad, 9, Divorced, Exec-managerial, Other-relative, White, Female, 0, 0, 45, United-States, <=50K.
+52, Federal-gov, 57855, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K.
+50, Private, 355954, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+28, Private, 143582, HS-grad, 9, Married-spouse-absent, Other-service, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, South, <=50K.
+30, Private, 220915, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+43, Private, 172025, HS-grad, 9, Widowed, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+24, Private, 109813, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 3137, 0, 40, United-States, <=50K.
+45, Private, 175600, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+26, Private, 389856, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, Mexico, <=50K.
+41, Self-emp-not-inc, 167081, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2415, 55, United-States, >50K.
+43, Self-emp-inc, 179228, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 65, United-States, <=50K.
+23, ?, 214542, Bachelors, 13, Never-married, ?, Own-child, White, Male, 0, 0, 42, United-States, <=50K.
+31, Private, 1210504, 10th, 6, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+55, Private, 426263, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+18, Private, 146225, 10th, 6, Never-married, Other-service, Own-child, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K.
+36, Self-emp-not-inc, 240810, 12th, 8, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+47, Private, 100113, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 2051, 40, United-States, <=50K.
+22, Private, 214542, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+18, Private, 41506, 11th, 7, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K.
+24, Private, 200121, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+55, Private, 199919, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 15, United-States, <=50K.
+22, Private, 60668, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+42, Private, 208347, 11th, 7, Never-married, Machine-op-inspct, Not-in-family, Other, Female, 0, 0, 40, Puerto-Rico, <=50K.
+42, State-gov, 184105, Assoc-voc, 11, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 45, United-States, >50K.
+27, Private, 255979, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+51, Self-emp-inc, 251585, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+40, Private, 132222, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+49, Private, 164733, HS-grad, 9, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+33, Private, 327902, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 3908, 0, 50, United-States, <=50K.
+30, Private, 262092, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K.
+23, Private, 299047, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+28, Self-emp-not-inc, 146735, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K.
+43, Private, 154568, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Vietnam, >50K.
+37, Private, 160916, 7th-8th, 4, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+33, Private, 161444, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+32, State-gov, 246282, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 2961, 0, 99, ?, <=50K.
+20, ?, 147031, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 15, United-States, <=50K.
+42, Private, 220531, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 32, United-States, <=50K.
+22, Private, 282202, HS-grad, 9, Never-married, Exec-managerial, Unmarried, White, Male, 0, 0, 40, Mexico, <=50K.
+26, Private, 122485, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 4416, 0, 40, United-States, <=50K.
+32, Private, 227012, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+67, Private, 116502, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 30, United-States, <=50K.
+51, Private, 163606, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+18, Private, 211413, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 15, United-States, <=50K.
+33, ?, 171637, HS-grad, 9, Married-civ-spouse, ?, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+57, Self-emp-not-inc, 204387, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 10, United-States, >50K.
+24, ?, 214542, Some-college, 10, Never-married, ?, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K.
+29, Private, 70100, HS-grad, 9, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 40, Portugal, <=50K.
+42, Private, 96115, Bachelors, 13, Separated, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+47, Private, 181758, HS-grad, 9, Never-married, Transport-moving, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+74, ?, 278557, Assoc-voc, 11, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 32, United-States, <=50K.
+34, Federal-gov, 168931, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, Other, Female, 0, 0, 40, United-States, >50K.
+27, Private, 397962, 10th, 6, Married-civ-spouse, Other-service, Wife, Black, Female, 0, 0, 30, United-States, <=50K.
+28, Private, 113922, HS-grad, 9, Separated, Transport-moving, Own-child, White, Female, 0, 0, 17, United-States, <=50K.
+17, Private, 318025, HS-grad, 9, Never-married, Other-service, Other-relative, White, Male, 0, 0, 20, United-States, <=50K.
+24, Private, 287357, 11th, 7, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+40, Self-emp-not-inc, 33219, Assoc-acdm, 12, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+81, Self-emp-inc, 51646, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 2174, 35, United-States, >50K.
+47, Federal-gov, 51664, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 3908, 0, 40, United-States, <=50K.
+29, Private, 195721, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+24, Private, 255575, Some-college, 10, Never-married, Other-service, Unmarried, White, Female, 0, 0, 30, United-States, <=50K.
+31, Private, 200835, Bachelors, 13, Married-spouse-absent, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, Japan, <=50K.
+22, ?, 140414, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+38, Private, 165579, HS-grad, 9, Divorced, Tech-support, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+37, Private, 38948, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K.
+35, Private, 184685, Some-college, 10, Never-married, Adm-clerical, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K.
+23, Private, 86939, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+22, Private, 215251, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, Germany, <=50K.
+53, Private, 151159, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+40, Private, 385266, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K.
+68, Self-emp-inc, 289349, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 9386, 0, 70, Germany, >50K.
+19, Private, 232060, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K.
+28, Private, 290429, 7th-8th, 4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+45, Private, 179048, 12th, 8, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 35, ?, >50K.
+57, Self-emp-not-inc, 98466, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 16, United-States, <=50K.
+51, Local-gov, 142801, Masters, 14, Widowed, Prof-specialty, Not-in-family, Black, Female, 0, 0, 40, United-States, >50K.
+68, Self-emp-inc, 119938, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+39, Private, 172186, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 5013, 0, 40, United-States, <=50K.
+45, Local-gov, 198759, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1848, 40, United-States, >50K.
+45, State-gov, 74305, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, >50K.
+80, Self-emp-inc, 120796, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+55, Local-gov, 190091, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K.
+23, Private, 197286, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+45, State-gov, 129499, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+39, Private, 30875, Bachelors, 13, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, >50K.
+45, Self-emp-not-inc, 172822, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 3411, 0, 40, United-States, <=50K.
+34, Private, 107417, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+42, Local-gov, 226902, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K.
+21, Private, 86557, Some-college, 10, Never-married, Sales, Other-relative, Other, Female, 0, 0, 30, United-States, <=50K.
+35, Private, 98900, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+24, Local-gov, 38707, Bachelors, 13, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 20, United-States, <=50K.
+39, Private, 286730, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+17, Private, 221797, 12th, 8, Never-married, Adm-clerical, Own-child, White, Female, 594, 0, 20, United-States, <=50K.
+52, ?, 175029, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 80, United-States, <=50K.
+49, ?, 32184, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 5013, 0, 15, United-States, <=50K.
+31, Federal-gov, 144949, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+48, Federal-gov, 33084, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 50, United-States, >50K.
+30, Private, 156464, Some-college, 10, Never-married, Tech-support, Other-relative, White, Male, 0, 0, 40, United-States, <=50K.
+38, Private, 152307, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 30, United-States, >50K.
+32, Private, 341954, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 1741, 45, ?, <=50K.
+24, Private, 235720, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 50, United-States, <=50K.
+47, Private, 161187, 12th, 8, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+56, Private, 90017, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Portugal, <=50K.
+59, Private, 192671, 11th, 7, Married-civ-spouse, Adm-clerical, Husband, White, Male, 7298, 0, 40, United-States, >50K.
+39, Self-emp-not-inc, 102178, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 35, United-States, <=50K.
+22, Private, 293136, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K.
+17, Local-gov, 99568, 10th, 6, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 10, United-States, <=50K.
+66, Self-emp-not-inc, 81413, 10th, 6, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 30, United-States, <=50K.
+39, Private, 31053, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+18, Private, 31008, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+55, Private, 221801, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+26, Federal-gov, 76491, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K.
+64, Private, 286732, HS-grad, 9, Widowed, Sales, Not-in-family, White, Female, 0, 0, 17, United-States, <=50K.
+48, Self-emp-not-inc, 196707, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 60, United-States, >50K.
+51, Federal-gov, 23698, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, >50K.
+61, Private, 224699, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 30, United-States, >50K.
+22, Private, 131291, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 15, United-States, <=50K.
+19, ?, 372665, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+44, Private, 64506, Assoc-voc, 11, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K.
+47, Private, 139388, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+29, Private, 425830, Assoc-acdm, 12, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+39, Private, 99146, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+37, State-gov, 59200, HS-grad, 9, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K.
+21, Private, 37482, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+34, Private, 188798, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 32, United-States, <=50K.
+56, Private, 100285, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+31, State-gov, 228446, Some-college, 10, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+31, Private, 19491, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 2202, 0, 40, United-States, <=50K.
+28, Private, 156967, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+47, Federal-gov, 187581, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 48, United-States, >50K.
+56, Private, 154490, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K.
+30, Private, 101345, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+42, Local-gov, 150533, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 46, United-States, <=50K.
+33, Private, 93213, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+57, Private, 257046, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+40, Private, 421837, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+41, Private, 101593, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K.
+42, Private, 122215, HS-grad, 9, Widowed, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K.
+49, Private, 272780, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 15024, 0, 60, Mexico, >50K.
+24, Private, 190591, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K.
+30, Private, 78374, HS-grad, 9, Married-civ-spouse, Sales, Other-relative, Asian-Pac-Islander, Female, 0, 0, 40, ?, <=50K.
+30, ?, 121468, Bachelors, 13, Married-civ-spouse, ?, Wife, Asian-Pac-Islander, Female, 0, 0, 40, Hong, <=50K.
+31, Private, 280927, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, >50K.
+25, Private, 202480, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+47, Private, 110088, 1st-4th, 2, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+58, ?, 129632, HS-grad, 9, Never-married, ?, Not-in-family, White, Female, 0, 0, 4, United-States, <=50K.
+37, Self-emp-not-inc, 225860, Assoc-acdm, 12, Married-spouse-absent, Farming-fishing, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+25, Private, 310545, Some-college, 10, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 30, El-Salvador, <=50K.
+31, Private, 178664, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K.
+46, Self-emp-not-inc, 198759, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K.
+20, Private, 259301, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 35, United-States, <=50K.
+31, Private, 234537, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 50, United-States, >50K.
+63, Private, 427770, 12th, 8, Divorced, Priv-house-serv, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K.
+19, ?, 331702, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+20, ?, 180052, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+54, Private, 205337, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+17, Private, 236091, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 0, 8, United-States, <=50K.
+40, Private, 33895, HS-grad, 9, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+20, ?, 447210, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+27, Private, 226441, Bachelors, 13, Never-married, Prof-specialty, Other-relative, White, Female, 0, 0, 40, United-States, <=50K.
+41, State-gov, 119721, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+32, Self-emp-not-inc, 455995, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, >50K.
+35, Private, 105813, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+24, ?, 350917, HS-grad, 9, Never-married, ?, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K.
+42, State-gov, 191814, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+65, Private, 399296, 5th-6th, 3, Married-civ-spouse, Other-service, Other-relative, White, Female, 0, 0, 20, Mexico, <=50K.
+47, Private, 201595, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+41, Private, 143003, Masters, 14, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male, 0, 1887, 45, China, >50K.
+28, Private, 74784, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+20, ?, 313045, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+22, Private, 303781, Some-college, 10, Never-married, Craft-repair, Own-child, Black, Male, 0, 0, 40, United-States, <=50K.
+23, Private, 236769, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+28, Self-emp-not-inc, 264961, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+59, Private, 144962, HS-grad, 9, Widowed, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+59, Local-gov, 435836, 10th, 6, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 30, United-States, >50K.
+46, Private, 186539, HS-grad, 9, Divorced, Craft-repair, Other-relative, White, Male, 0, 0, 48, United-States, >50K.
+23, Private, 181796, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+47, Local-gov, 398397, Masters, 14, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+24, Private, 196280, Assoc-voc, 11, Never-married, Tech-support, Own-child, White, Female, 0, 0, 38, United-States, <=50K.
+37, Federal-gov, 31670, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+49, Self-emp-inc, 65535, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+48, Local-gov, 97680, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 15024, 0, 10, United-States, >50K.
+57, Self-emp-not-inc, 47178, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 35, United-States, >50K.
+24, Self-emp-not-inc, 151818, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K.
+40, Private, 304530, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+25, Private, 197651, HS-grad, 9, Never-married, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+64, Private, 108054, HS-grad, 9, Widowed, Transport-moving, Not-in-family, White, Male, 0, 0, 22, United-States, <=50K.
+44, Private, 179666, Some-college, 10, Divorced, Transport-moving, Unmarried, White, Male, 0, 0, 35, England, <=50K.
+45, Private, 142909, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+24, Private, 231261, 12th, 8, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+42, State-gov, 119008, Assoc-acdm, 12, Divorced, Tech-support, Not-in-family, Black, Female, 0, 1974, 40, United-States, <=50K.
+27, Private, 168138, HS-grad, 9, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+54, Private, 217850, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, >50K.
+50, Self-emp-not-inc, 343242, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 55, United-States, <=50K.
+19, ?, 167087, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+27, Private, 200179, HS-grad, 9, Divorced, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K.
+35, Private, 172252, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+39, Private, 132879, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 42, United-States, >50K.
+21, Private, 240063, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 48, United-States, <=50K.
+19, Private, 425816, Some-college, 10, Never-married, Sales, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+39, Local-gov, 167571, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 2885, 0, 30, United-States, <=50K.
+39, Private, 85566, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+27, Private, 123799, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 42, United-States, <=50K.
+28, Private, 194690, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+39, Private, 266347, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+62, Private, 68268, 10th, 6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+59, Self-emp-inc, 145574, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+29, Private, 128666, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+31, Private, 119411, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K.
+38, Private, 276552, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+22, ?, 305423, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 36, United-States, <=50K.
+38, Federal-gov, 104236, Assoc-acdm, 12, Divorced, Adm-clerical, Unmarried, White, Female, 1471, 0, 40, United-States, <=50K.
+48, ?, 136455, Some-college, 10, Divorced, ?, Not-in-family, White, Female, 0, 0, 16, United-States, <=50K.
+71, Self-emp-not-inc, 139889, 11th, 7, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 75, United-States, >50K.
+39, Local-gov, 102953, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+36, ?, 320183, 11th, 7, Never-married, ?, Own-child, Black, Male, 0, 0, 24, United-States, <=50K.
+47, Private, 83407, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 84, United-States, >50K.
+22, ?, 118910, Some-college, 10, Never-married, ?, Not-in-family, White, Male, 0, 0, 43, United-States, <=50K.
+41, Private, 99254, Masters, 14, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K.
+43, State-gov, 198766, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+20, Private, 191832, 12th, 8, Never-married, Other-service, Unmarried, White, Male, 0, 0, 40, ?, <=50K.
+23, Private, 146178, HS-grad, 9, Separated, Adm-clerical, Other-relative, White, Male, 0, 0, 46, United-States, <=50K.
+35, Private, 132879, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K.
+44, Private, 94706, Bachelors, 13, Married-spouse-absent, Sales, Unmarried, Asian-Pac-Islander, Male, 0, 0, 40, Laos, <=50K.
+48, Local-gov, 273767, Masters, 14, Married-civ-spouse, Exec-managerial, Wife, White, Female, 7688, 0, 40, United-States, >50K.
+43, Self-emp-not-inc, 204235, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K.
+62, ?, 181782, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 15, United-States, <=50K.
+39, State-gov, 144860, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+44, Private, 185832, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 7298, 0, 40, United-States, >50K.
+81, Private, 55314, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 4, United-States, >50K.
+44, Private, 200194, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+37, Private, 339772, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+54, Private, 159755, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 40, United-States, >50K.
+24, Private, 200207, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+27, Private, 31493, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 30, United-States, <=50K.
+31, Private, 168981, HS-grad, 9, Married-civ-spouse, Adm-clerical, Own-child, White, Female, 0, 0, 38, United-States, <=50K.
+20, Private, 201729, Some-college, 10, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 33, United-States, <=50K.
+30, Self-emp-not-inc, 105749, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+56, Federal-gov, 101847, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 4064, 0, 40, United-States, <=50K.
+46, Private, 110646, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 56, United-States, <=50K.
+34, Private, 139753, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 2174, 0, 50, United-States, <=50K.
+25, Private, 255004, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 30, United-States, <=50K.
+34, Private, 341954, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+43, Private, 124330, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 46, United-States, <=50K.
+46, Private, 64563, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1887, 45, United-States, >50K.
+32, Self-emp-not-inc, 29254, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, >50K.
+25, ?, 182810, Some-college, 10, Never-married, ?, Not-in-family, White, Female, 0, 1564, 37, United-States, >50K.
+33, ?, 139051, 11th, 7, Separated, ?, Unmarried, Black, Female, 0, 0, 53, United-States, <=50K.
+31, Private, 151053, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 34, United-States, <=50K.
+66, Self-emp-inc, 45702, 10th, 6, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+26, ?, 138685, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+37, Private, 164193, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+73, Private, 109651, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 30, United-States, <=50K.
+30, Private, 126364, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+31, Private, 328199, HS-grad, 9, Never-married, Tech-support, Not-in-family, White, Female, 2354, 0, 40, United-States, <=50K.
+44, Self-emp-not-inc, 180096, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K.
+23, Private, 197613, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+35, Private, 170195, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K.
+48, Federal-gov, 56482, 10th, 6, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+53, Private, 23686, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 1741, 40, United-States, <=50K.
+62, State-gov, 200916, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+44, Private, 160261, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 2377, 35, Hong, <=50K.
+21, Private, 129232, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+22, Local-gov, 249727, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K.
+35, State-gov, 106448, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+61, Local-gov, 313852, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+33, Private, 213722, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 35, Greece, <=50K.
+29, Private, 120645, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Wife, Black, Female, 0, 0, 40, United-States, <=50K.
+78, ?, 167336, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 16, United-States, <=50K.
+21, Self-emp-not-inc, 199419, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 50, United-States, <=50K.
+23, Private, 132053, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+21, Private, 311570, Assoc-acdm, 12, Never-married, Tech-support, Own-child, White, Female, 0, 0, 35, United-States, <=50K.
+30, Private, 187203, Bachelors, 13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+76, Private, 201240, HS-grad, 9, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K.
+51, Private, 150999, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K.
+30, Self-emp-not-inc, 24961, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+36, Local-gov, 152021, 11th, 7, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K.
+20, Private, 374116, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+73, Private, 35370, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, >50K.
+38, Private, 65291, Bachelors, 13, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 24, United-States, <=50K.
+71, ?, 283889, HS-grad, 9, Married-spouse-absent, ?, Not-in-family, Black, Male, 0, 1816, 40, United-States, <=50K.
+36, Self-emp-not-inc, 48585, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 4, United-States, <=50K.
+26, Private, 132661, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+52, Private, 267583, 10th, 6, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+50, Private, 313297, 5th-6th, 3, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K.
+66, Private, 290578, 7th-8th, 4, Separated, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+32, Private, 246038, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K.
+42, Federal-gov, 125461, Assoc-voc, 11, Divorced, Exec-managerial, Unmarried, White, Male, 0, 323, 40, United-States, <=50K.
+56, Self-emp-not-inc, 206149, 7th-8th, 4, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 58, United-States, <=50K.
+59, Local-gov, 205718, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 24, Canada, <=50K.
+37, Private, 241153, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 50, United-States, >50K.
+49, Private, 186706, HS-grad, 9, Married-civ-spouse, Craft-repair, Wife, White, Female, 7688, 0, 40, United-States, >50K.
+60, Private, 216574, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, >50K.
+46, Private, 49570, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+42, State-gov, 82161, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 72, United-States, >50K.
+44, Private, 191268, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 43, United-States, <=50K.
+31, Private, 59469, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+30, Private, 197947, Some-college, 10, Divorced, Sales, Not-in-family, White, Male, 0, 0, 58, United-States, <=50K.
+35, Private, 180131, Bachelors, 13, Separated, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, >50K.
+17, Private, 156732, 11th, 7, Never-married, Other-service, Other-relative, White, Female, 0, 0, 20, United-States, <=50K.
+22, Private, 415755, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+22, Private, 228254, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 37, United-States, <=50K.
+28, Self-emp-not-inc, 414599, Assoc-acdm, 12, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 21, Guatemala, <=50K.
+35, Private, 357173, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+49, ?, 111282, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 4386, 0, 99, United-States, >50K.
+38, Private, 174308, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K.
+49, Federal-gov, 61885, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K.
+42, Private, 123838, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K.
+53, Private, 119170, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 1740, 40, United-States, <=50K.
+59, Private, 219426, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+18, Self-emp-inc, 184920, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 25, United-States, <=50K.
+39, Local-gov, 187385, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 28, United-States, >50K.
+26, Private, 234258, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+24, Private, 387663, Some-college, 10, Married-spouse-absent, Farming-fishing, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+45, Private, 151817, Masters, 14, Separated, Tech-support, Unmarried, White, Female, 0, 0, 36, United-States, <=50K.
+34, Private, 187203, Prof-school, 15, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 40, United-States, >50K.
+27, Local-gov, 67187, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 33, United-States, <=50K.
+48, Private, 194526, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+20, Private, 73266, Some-college, 10, Never-married, Transport-moving, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K.
+49, Self-emp-not-inc, 340755, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 5178, 0, 40, United-States, >50K.
+26, Private, 168552, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+38, Self-emp-inc, 188069, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 40, United-States, >50K.
+27, Private, 198587, HS-grad, 9, Never-married, Sales, Unmarried, Black, Female, 0, 0, 60, United-States, <=50K.
+21, State-gov, 33423, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K.
+40, Federal-gov, 190910, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+47, Private, 195963, 7th-8th, 4, Never-married, Transport-moving, Not-in-family, Other, Male, 0, 0, 48, Puerto-Rico, <=50K.
+24, Private, 345066, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, Black, Female, 0, 0, 50, United-States, <=50K.
+43, Private, 195258, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+44, Private, 262233, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 47, United-States, <=50K.
+56, Private, 78707, 9th, 5, Married-civ-spouse, Other-service, Wife, White, Female, 4508, 0, 28, United-States, <=50K.
+53, Self-emp-inc, 251240, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2415, 50, United-States, >50K.
+36, Self-emp-not-inc, 414056, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+56, Local-gov, 174564, 12th, 8, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+26, Private, 236242, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 1590, 40, United-States, <=50K.
+31, Private, 31286, Assoc-voc, 11, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+19, Private, 234476, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 7, United-States, <=50K.
+26, Private, 414916, HS-grad, 9, Never-married, Tech-support, Other-relative, White, Male, 0, 0, 40, United-States, <=50K.
+40, Private, 223881, Some-college, 10, Divorced, Tech-support, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+21, Private, 284651, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+35, Private, 38948, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 3103, 0, 40, United-States, >50K.
+33, Private, 157887, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+59, Private, 70796, HS-grad, 9, Married-civ-spouse, Priv-house-serv, Wife, Black, Female, 0, 0, 15, United-States, <=50K.
+49, Local-gov, 97176, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 47, United-States, <=50K.
+54, Private, 146834, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+23, Private, 490645, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 2829, 0, 42, United-States, <=50K.
+61, State-gov, 31577, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 30, United-States, <=50K.
+33, Private, 145437, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 43, United-States, <=50K.
+36, State-gov, 21798, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 15024, 0, 40, Germany, >50K.
+57, Private, 142076, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 4386, 0, 40, United-States, >50K.
+22, Private, 136230, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+47, Private, 184169, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, >50K.
+23, Private, 175778, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K.
+46, Local-gov, 59174, HS-grad, 9, Widowed, Prof-specialty, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 33, United-States, <=50K.
+49, Private, 123713, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+67, ?, 222362, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 2, United-States, >50K.
+51, Private, 108435, 12th, 8, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+21, Private, 39182, Assoc-acdm, 12, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+33, Local-gov, 203051, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 46, United-States, <=50K.
+45, Federal-gov, 363418, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+27, Local-gov, 113054, Bachelors, 13, Never-married, Protective-serv, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K.
+27, Local-gov, 163320, Assoc-acdm, 12, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+34, Private, 118710, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+56, Private, 170066, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+24, Private, 135267, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+24, Private, 361278, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+59, Self-emp-not-inc, 165867, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 25, United-States, <=50K.
+33, Private, 300497, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+49, State-gov, 255928, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+41, Private, 27305, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+34, Private, 29933, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+43, Private, 265434, 11th, 7, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+18, Private, 145643, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 9, United-States, <=50K.
+31, ?, 162041, HS-grad, 9, Never-married, ?, Own-child, White, Female, 0, 0, 15, United-States, <=50K.
+30, Private, 119562, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 3942, 0, 40, United-States, <=50K.
+29, Private, 115549, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 2635, 0, 40, United-States, <=50K.
+50, Private, 39590, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 48, United-States, >50K.
+24, Private, 97676, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+53, Private, 34973, 11th, 7, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+52, Private, 312446, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+42, Federal-gov, 88909, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+36, Private, 117381, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K.
+34, Self-emp-inc, 513977, HS-grad, 9, Divorced, Craft-repair, Not-in-family, Black, Male, 0, 0, 50, United-States, <=50K.
+38, Federal-gov, 39089, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 6849, 0, 50, United-States, <=50K.
+32, Private, 341672, Bachelors, 13, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Male, 2174, 0, 45, Taiwan, <=50K.
+31, Local-gov, 400535, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 72, United-States, <=50K.
+34, Self-emp-not-inc, 338042, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+49, Private, 216734, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+54, Self-emp-not-inc, 224207, HS-grad, 9, Widowed, Craft-repair, Not-in-family, White, Male, 6849, 0, 50, United-States, <=50K.
+58, Private, 107897, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 40, United-States, >50K.
+28, Private, 205903, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+36, Private, 191754, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+26, Private, 216225, Assoc-acdm, 12, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 50, United-States, >50K.
+33, Private, 125762, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+51, Private, 201062, HS-grad, 9, Married-civ-spouse, Other-service, Other-relative, Black, Female, 0, 0, 40, Jamaica, <=50K.
+53, Local-gov, 25820, Assoc-voc, 11, Divorced, Exec-managerial, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 48, United-States, <=50K.
+33, Private, 553405, Assoc-voc, 11, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+45, Federal-gov, 78022, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+27, Private, 207631, 5th-6th, 3, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 52, Mexico, <=50K.
+35, Private, 203988, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K.
+47, Private, 122194, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+17, Private, 318918, 10th, 6, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 30, United-States, <=50K.
+55, Self-emp-inc, 264453, Assoc-voc, 11, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 30, United-States, <=50K.
+28, Self-emp-not-inc, 183523, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K.
+46, Self-emp-not-inc, 98881, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K.
+18, Private, 184101, 11th, 7, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 6, United-States, <=50K.
+43, Local-gov, 135056, HS-grad, 9, Separated, Adm-clerical, Other-relative, White, Female, 0, 0, 35, United-States, <=50K.
+60, Self-emp-not-inc, 71457, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 4508, 0, 8, United-States, <=50K.
+55, Self-emp-not-inc, 96459, 10th, 6, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 1887, 70, United-States, >50K.
+52, Private, 134184, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 2597, 0, 36, United-States, <=50K.
+40, Private, 153132, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 31, United-States, <=50K.
+52, Private, 173991, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 38, United-States, <=50K.
+27, Federal-gov, 96219, HS-grad, 9, Never-married, Tech-support, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+44, Private, 152744, Masters, 14, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K.
+56, Private, 182142, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+35, Private, 48915, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+35, Private, 24126, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+47, Local-gov, 263984, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, Puerto-Rico, <=50K.
+42, Local-gov, 118261, Assoc-voc, 11, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 50, United-States, <=50K.
+63, Private, 106141, 7th-8th, 4, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+48, State-gov, 355320, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 15, Germany, >50K.
+19, ?, 497414, 7th-8th, 4, Never-married, ?, Not-in-family, White, Female, 0, 0, 35, Mexico, <=50K.
+41, Private, 118915, Bachelors, 13, Separated, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+17, Private, 75885, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 10, United-States, <=50K.
+26, State-gov, 93806, Some-college, 10, Never-married, Adm-clerical, Other-relative, White, Male, 0, 0, 25, United-States, <=50K.
+33, Local-gov, 255058, Bachelors, 13, Divorced, Prof-specialty, Own-child, White, Male, 0, 2339, 40, United-States, <=50K.
+41, Private, 120277, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+20, Private, 120046, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 25, United-States, <=50K.
+26, Private, 209384, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+35, Local-gov, 742903, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+47, Self-emp-inc, 147869, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+21, ?, 208117, 10th, 6, Never-married, ?, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K.
+64, Private, 268965, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 22, United-States, <=50K.
+32, Private, 41210, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+47, Private, 128378, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+22, Private, 131291, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K.
+35, Private, 187046, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+53, Private, 221672, 12th, 8, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+29, Self-emp-not-inc, 70100, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 80, United-States, <=50K.
+23, Private, 199586, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+45, Private, 243743, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K.
+20, State-gov, 375931, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 15, United-States, <=50K.
+42, Private, 139012, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Vietnam, >50K.
+45, Private, 167617, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+77, Private, 88269, 5th-6th, 3, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 20, United-States, <=50K.
+32, Private, 70377, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+21, Private, 431745, Some-college, 10, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 10, United-States, <=50K.
+32, Private, 72967, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 25, United-States, >50K.
+41, Private, 174373, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 30, United-States, >50K.
+42, Private, 145178, HS-grad, 9, Separated, Tech-support, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K.
+23, ?, 138938, HS-grad, 9, Married-civ-spouse, ?, Own-child, White, Female, 0, 0, 3, United-States, <=50K.
+26, Local-gov, 113948, Bachelors, 13, Never-married, Protective-serv, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K.
+66, Private, 135446, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+41, Private, 43711, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K.
+40, Private, 137304, Bachelors, 13, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 65, United-States, <=50K.
+21, Private, 180690, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+40, Private, 135384, HS-grad, 9, Separated, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+48, Private, 178137, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 44, United-States, <=50K.
+62, Self-emp-not-inc, 113440, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 40, United-States, >50K.
+45, Private, 110243, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+42, Self-emp-inc, 165981, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+20, Private, 246635, Some-college, 10, Never-married, Sales, Own-child, White, Female, 2597, 0, 20, United-States, <=50K.
+30, Private, 553405, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+59, Private, 137506, 9th, 5, Widowed, Handlers-cleaners, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+22, Private, 313730, Assoc-acdm, 12, Never-married, Farming-fishing, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K.
+23, Federal-gov, 102684, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K.
+55, Private, 265579, Some-college, 10, Widowed, Exec-managerial, Not-in-family, White, Female, 2354, 0, 40, United-States, <=50K.
+58, Private, 101338, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Greece, >50K.
+67, Private, 188903, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+51, Private, 231919, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+38, ?, 139770, Masters, 14, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 48, United-States, >50K.
+37, Private, 253006, Some-college, 10, Separated, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+34, Private, 258425, Assoc-voc, 11, Never-married, Sales, Not-in-family, Amer-Indian-Eskimo, Male, 2597, 0, 45, United-States, <=50K.
+49, Private, 168837, Assoc-voc, 11, Divorced, Other-service, Unmarried, White, Female, 0, 0, 20, United-States, <=50K.
+46, Private, 177536, Some-college, 10, Divorced, Sales, Unmarried, White, Male, 0, 0, 60, United-States, <=50K.
+29, Private, 168524, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+19, Self-emp-inc, 108551, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+38, Self-emp-not-inc, 180477, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 37, United-States, >50K.
+58, Self-emp-not-inc, 162970, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+43, Private, 104196, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 43, United-States, <=50K.
+34, Private, 329288, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 4386, 0, 55, United-States, >50K.
+59, Self-emp-not-inc, 39398, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 42, United-States, <=50K.
+33, Private, 70240, Some-college, 10, Never-married, Other-service, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K.
+17, Private, 153021, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 6, United-States, <=50K.
+29, Local-gov, 152461, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+33, Private, 171892, Assoc-acdm, 12, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 42, United-States, <=50K.
+45, Private, 128141, 11th, 7, Separated, Tech-support, Unmarried, White, Female, 0, 0, 40, Puerto-Rico, <=50K.
+68, Private, 182574, Some-college, 10, Widowed, Adm-clerical, Not-in-family, White, Female, 991, 0, 29, United-States, <=50K.
+33, Local-gov, 189145, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K.
+49, Self-emp-inc, 218835, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K.
+46, Local-gov, 132994, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 7688, 0, 40, United-States, >50K.
+54, Private, 83103, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 67, United-States, <=50K.
+31, Private, 198103, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+25, ?, 177812, Bachelors, 13, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+39, Self-emp-inc, 144154, Bachelors, 13, Never-married, Prof-specialty, Unmarried, White, Female, 0, 0, 80, United-States, <=50K.
+56, Private, 169086, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, ?, >50K.
+36, Private, 140854, 7th-8th, 4, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, Portugal, <=50K.
+20, ?, 218875, Some-college, 10, Never-married, ?, Other-relative, White, Female, 0, 0, 20, United-States, <=50K.
+35, Self-emp-not-inc, 187589, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 7, United-States, <=50K.
+36, Private, 112271, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 1902, 40, United-States, >50K.
+27, Private, 199118, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, Mexico, <=50K.
+46, Private, 178642, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Wife, White, Female, 0, 0, 40, United-States, >50K.
+34, Private, 113708, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 59, United-States, >50K.
+29, Federal-gov, 185670, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+36, Private, 303187, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male, 0, 0, 44, ?, >50K.
+49, Private, 209739, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 60, United-States, >50K.
+52, Self-emp-not-inc, 155278, 10th, 6, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+30, Private, 119422, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+46, Local-gov, 326292, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+35, Private, 212512, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K.
+37, Private, 33440, HS-grad, 9, Separated, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+38, State-gov, 185180, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 40, United-States, >50K.
+46, Self-emp-not-inc, 504941, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+42, Private, 192014, 9th, 5, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 24, United-States, <=50K.
+48, Self-emp-inc, 192755, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 55, Canada, >50K.
+59, Private, 220896, Prof-school, 15, Divorced, Other-service, Not-in-family, White, Male, 27828, 0, 60, United-States, >50K.
+22, Private, 189832, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K.
+38, Private, 235638, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K.
+39, Private, 134367, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 43, United-States, <=50K.
+41, Private, 171231, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Peru, <=50K.
+19, Private, 253529, 12th, 8, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 9, United-States, <=50K.
+47, State-gov, 210557, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+47, Private, 362835, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+55, Private, 186479, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+37, State-gov, 115360, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+29, Private, 184806, Assoc-acdm, 12, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K.
+34, Self-emp-not-inc, 450141, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 35, United-States, >50K.
+41, Private, 200479, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+34, Private, 152493, HS-grad, 9, Divorced, Transport-moving, Unmarried, White, Male, 0, 0, 60, United-States, <=50K.
+29, Private, 135791, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 15024, 0, 50, Cuba, >50K.
+37, Self-emp-not-inc, 50096, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 30, United-States, <=50K.
+55, Private, 173832, Masters, 14, Divorced, Sales, Not-in-family, White, Male, 10520, 0, 40, United-States, >50K.
+52, Private, 224198, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 45, United-States, <=50K.
+57, Private, 111553, 9th, 5, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+67, Private, 191380, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+20, Private, 34242, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K.
+58, Private, 100054, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1902, 70, United-States, >50K.
+62, Private, 110103, HS-grad, 9, Widowed, Craft-repair, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+40, Private, 196626, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, >50K.
+66, ?, 194480, 11th, 7, Married-civ-spouse, ?, Husband, White, Male, 0, 2377, 2, United-States, >50K.
+26, Private, 190040, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+42, Private, 152629, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K.
+18, Federal-gov, 263162, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+34, Private, 205581, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+50, Private, 155434, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K.
+30, Private, 415922, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Other, Male, 0, 0, 32, United-States, <=50K.
+42, Local-gov, 221581, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+37, Private, 135089, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 56, United-States, <=50K.
+47, Private, 117774, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, Portugal, <=50K.
+46, Private, 206707, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+30, Private, 315640, Masters, 14, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 45, Iran, >50K.
+52, Private, 210736, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 50, United-States, >50K.
+23, Local-gov, 456665, HS-grad, 9, Never-married, Other-service, Own-child, Black, Male, 0, 0, 40, United-States, <=50K.
+35, Self-emp-not-inc, 133935, Some-college, 10, Married-spouse-absent, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+44, Private, 106982, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 70, United-States, <=50K.
+35, Private, 126569, Masters, 14, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+31, State-gov, 209954, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+50, State-gov, 46401, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+29, Private, 410216, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+39, Private, 410509, HS-grad, 9, Divorced, Handlers-cleaners, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+22, Private, 382199, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+33, Private, 84130, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+42, Private, 243380, Masters, 14, Divorced, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+31, Private, 329635, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, >50K.
+20, ?, 265434, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 10, United-States, <=50K.
+23, Private, 241752, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+33, Private, 172579, HS-grad, 9, Married-civ-spouse, Craft-repair, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+48, Local-gov, 121179, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 52, United-States, <=50K.
+46, Private, 76131, 5th-6th, 3, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, >50K.
+57, Private, 138777, Bachelors, 13, Married-civ-spouse, Protective-serv, Wife, White, Female, 0, 0, 45, Germany, >50K.
+44, State-gov, 195212, Masters, 14, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 52, United-States, <=50K.
+20, Private, 315135, Some-college, 10, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 15, United-States, <=50K.
+44, Private, 248406, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+51, Private, 283314, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 15024, 0, 40, ?, >50K.
+29, Private, 231601, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+71, Self-emp-not-inc, 126807, Masters, 14, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 1411, 70, United-States, <=50K.
+31, Private, 198513, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+37, Private, 162651, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, Columbia, <=50K.
+90, Private, 197613, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, >50K.
+49, Private, 184098, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K.
+46, Local-gov, 187505, Masters, 14, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, ?, <=50K.
+53, Private, 174655, 7th-8th, 4, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+17, Private, 161123, 12th, 8, Never-married, Other-service, Own-child, White, Male, 0, 0, 32, United-States, <=50K.
+43, Private, 390369, 1st-4th, 2, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 70, Mexico, <=50K.
+35, Self-emp-not-inc, 354520, HS-grad, 9, Married-spouse-absent, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+25, Private, 364631, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 40, Mexico, <=50K.
+35, Private, 323120, Assoc-acdm, 12, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 44, United-States, >50K.
+58, State-gov, 32367, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+88, Private, 30102, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 1816, 50, ?, <=50K.
+51, Private, 229259, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K.
+31, Private, 274818, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+40, Self-emp-inc, 248476, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K.
+38, Private, 98080, Some-college, 10, Never-married, Adm-clerical, Other-relative, Other, Male, 0, 0, 40, India, <=50K.
+44, Private, 56651, Assoc-acdm, 12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 42, United-States, <=50K.
+43, Private, 216411, 1st-4th, 2, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 30, Dominican-Republic, <=50K.
+31, Private, 226443, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 70, United-States, >50K.
+21, Private, 119039, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 18, United-States, <=50K.
+25, Private, 136277, Bachelors, 13, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K.
+52, Local-gov, 149508, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K.
+53, Private, 449376, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 40, United-States, >50K.
+18, Private, 143450, Some-college, 10, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 20, United-States, <=50K.
+41, Private, 227065, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+26, Private, 175801, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+29, Private, 260346, HS-grad, 9, Separated, Other-service, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K.
+37, Private, 54159, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+24, Private, 143246, Some-college, 10, Never-married, Machine-op-inspct, Own-child, Black, Female, 2597, 0, 45, United-States, <=50K.
+32, Private, 115854, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 41, United-States, <=50K.
+35, Private, 138441, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+23, Self-emp-not-inc, 149704, 10th, 6, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+38, Private, 22245, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+27, Private, 104017, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1628, 50, United-States, <=50K.
+46, Private, 165468, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K.
+22, Private, 181557, Some-college, 10, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 35, United-States, <=50K.
+38, Private, 220694, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 80, United-States, >50K.
+27, Local-gov, 190330, Assoc-voc, 11, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+45, Federal-gov, 109209, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+32, Private, 187815, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K.
+38, Federal-gov, 236648, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+21, Private, 53306, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+33, Private, 418645, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+27, Private, 217530, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 45, Mexico, <=50K.
+19, Private, 135066, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K.
+20, Local-gov, 38455, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 10, United-States, <=50K.
+37, Self-emp-not-inc, 53553, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 75, United-States, <=50K.
+18, Private, 117857, 11th, 7, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+72, Self-emp-not-inc, 379376, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, <=50K.
+31, Private, 191932, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 2258, 40, United-States, <=50K.
+33, Private, 234067, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K.
+47, Private, 348886, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+46, Private, 142490, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K.
+42, ?, 155190, Bachelors, 13, Married-civ-spouse, ?, Husband, Black, Male, 2580, 0, 8, United-States, <=50K.
+22, Private, 176178, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 36, United-States, <=50K.
+53, Private, 149220, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+59, Federal-gov, 188047, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+36, Private, 258102, Assoc-voc, 11, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+34, Private, 185216, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+61, Private, 219701, 12th, 8, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 37, Cuba, <=50K.
+40, Private, 235523, HS-grad, 9, Separated, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+35, Private, 100375, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 1887, 45, United-States, >50K.
+41, Private, 24273, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+23, Private, 224115, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K.
+41, Private, 187795, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1977, 60, United-States, >50K.
+26, Private, 161007, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+27, Private, 262723, Some-college, 10, Never-married, Machine-op-inspct, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K.
+41, Self-emp-not-inc, 33474, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K.
+43, Private, 167151, Bachelors, 13, Divorced, Prof-specialty, Unmarried, Black, Female, 0, 0, 60, United-States, <=50K.
+38, Self-emp-inc, 222532, Prof-school, 15, Never-married, Sales, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K.
+47, Local-gov, 48195, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 72, United-States, <=50K.
+23, Private, 89089, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K.
+35, Local-gov, 179151, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K.
+42, Self-emp-not-inc, 192589, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 70, United-States, <=50K.
+24, Private, 236149, HS-grad, 9, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 50, United-States, <=50K.
+58, Private, 110820, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+22, Private, 113464, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Other, Male, 0, 0, 40, Dominican-Republic, <=50K.
+38, Self-emp-not-inc, 248929, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+41, Private, 257758, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+46, Private, 198660, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+22, Private, 195532, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K.
+17, Private, 208046, HS-grad, 9, Never-married, Sales, Own-child, Black, Female, 0, 0, 16, United-States, <=50K.
+31, Self-emp-inc, 72744, HS-grad, 9, Divorced, Other-service, Unmarried, White, Male, 0, 0, 30, United-States, <=50K.
+73, ?, 65072, 10th, 6, Never-married, ?, Not-in-family, White, Male, 0, 0, 12, United-States, <=50K.
+27, Private, 313479, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 50, United-States, <=50K.
+57, Private, 262681, Some-college, 10, Widowed, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K.
+54, State-gov, 305319, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 70, United-States, <=50K.
+40, Private, 158958, HS-grad, 9, Never-married, Priv-house-serv, Other-relative, Black, Female, 0, 0, 40, Honduras, <=50K.
+23, Self-emp-not-inc, 47039, Assoc-voc, 11, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+36, Private, 150057, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K.
+54, State-gov, 55861, Assoc-acdm, 12, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 39, United-States, <=50K.
+32, Self-emp-inc, 225053, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 60, United-States, >50K.
+44, Self-emp-not-inc, 136986, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 25, United-States, <=50K.
+36, ?, 342480, 11th, 7, Never-married, ?, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+30, ?, 335124, Some-college, 10, Never-married, ?, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K.
+39, Self-emp-not-inc, 29874, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 54, United-States, <=50K.
+36, Private, 191146, Some-college, 10, Divorced, Sales, Unmarried, Black, Female, 0, 0, 38, United-States, <=50K.
+65, Private, 154164, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 20051, 0, 20, ?, >50K.
+43, Private, 287008, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+36, Private, 397877, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 5013, 0, 30, United-States, <=50K.
+40, Local-gov, 108765, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K.
+23, Private, 215251, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K.
+67, Private, 132586, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K.
+48, Local-gov, 328610, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K.
+59, Private, 264048, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 35, United-States, >50K.
+74, ?, 98867, 5th-6th, 3, Widowed, ?, Not-in-family, Black, Male, 0, 0, 32, United-States, <=50K.
+36, Private, 166289, HS-grad, 9, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K.
+19, Private, 186328, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+24, Federal-gov, 59948, HS-grad, 9, Never-married, Prof-specialty, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+41, Private, 231793, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+43, Local-gov, 487770, 10th, 6, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+27, Private, 167536, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+48, Private, 250736, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 99, United-States, <=50K.
+18, ?, 197057, 10th, 6, Never-married, ?, Own-child, Black, Male, 0, 0, 40, United-States, <=50K.
+23, Self-emp-not-inc, 448026, Assoc-voc, 11, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+56, Private, 217775, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 50, United-States, >50K.
+22, Federal-gov, 154394, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+61, Private, 244933, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K.
+22, Private, 155362, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K.
+48, Private, 187563, Masters, 14, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 54, United-States, >50K.
+61, ?, 108398, 11th, 7, Widowed, ?, Unmarried, Black, Female, 0, 0, 9, United-States, <=50K.
+30, Private, 69235, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Taiwan, <=50K.
+72, Private, 174032, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+31, State-gov, 174957, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+71, Self-emp-not-inc, 31781, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 1510, 35, United-States, <=50K.
+49, Private, 278322, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K.
+49, Private, 144514, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 1887, 45, United-States, >50K.
+41, Private, 255824, Some-college, 10, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+29, Private, 443858, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+19, Private, 114066, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 26, United-States, <=50K.
+30, Private, 103860, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+40, Private, 132839, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+51, State-gov, 290688, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+45, ?, 187439, HS-grad, 9, Never-married, ?, Not-in-family, White, Male, 0, 0, 2, United-States, <=50K.
+22, Private, 170302, HS-grad, 9, Never-married, Handlers-cleaners, Unmarried, White, Male, 0, 1974, 45, United-States, <=50K.
+49, Private, 74984, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+17, Private, 94774, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 0, 10, United-States, <=50K.
+46, Private, 72896, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+55, Self-emp-inc, 197749, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 1573, 44, United-States, <=50K.
+28, Private, 182509, Assoc-voc, 11, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+39, Self-emp-inc, 233117, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+36, Local-gov, 102729, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+36, Private, 172706, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+23, Self-emp-inc, 295254, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+38, Local-gov, 101426, HS-grad, 9, Never-married, Protective-serv, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K.
+75, Private, 185603, 10th, 6, Widowed, Tech-support, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K.
+53, Private, 289620, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, ?, >50K.
+39, Private, 179137, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+19, Private, 222199, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 10, United-States, <=50K.
+39, Private, 320305, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+23, ?, 111340, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 1573, 40, United-States, <=50K.
+31, Federal-gov, 86150, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female, 5178, 0, 40, United-States, >50K.
+60, Private, 124648, HS-grad, 9, Widowed, Sales, Unmarried, White, Female, 0, 0, 38, United-States, <=50K.
+30, Private, 175761, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 2580, 0, 40, United-States, <=50K.
+23, Private, 148948, 11th, 7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+42, Private, 230355, Some-college, 10, Separated, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, Cuba, <=50K.
+55, State-gov, 277203, Some-college, 10, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+77, Self-emp-not-inc, 176690, 9th, 5, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 40, England, <=50K.
+64, Self-emp-inc, 119182, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, Greece, <=50K.
+35, Private, 181353, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+19, Private, 311293, HS-grad, 9, Never-married, Other-service, Own-child, Black, Male, 0, 0, 25, United-States, <=50K.
+17, ?, 132962, 12th, 8, Never-married, ?, Own-child, Black, Male, 0, 0, 30, United-States, <=50K.
+45, Private, 155478, Some-college, 10, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+38, Private, 46706, Masters, 14, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 20, United-States, <=50K.
+59, Private, 142326, Assoc-voc, 11, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+21, Private, 220454, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+45, Private, 105779, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 30, United-States, <=50K.
+23, Private, 362623, 10th, 6, Married-civ-spouse, Other-service, Husband, White, Male, 0, 1573, 30, Mexico, <=50K.
+37, Private, 115806, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+29, Private, 351324, Assoc-acdm, 12, Never-married, Sales, Own-child, White, Female, 0, 0, 32, United-States, <=50K.
+29, Private, 131712, 11th, 7, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+19, ?, 181118, HS-grad, 9, Never-married, ?, Own-child, Black, Female, 0, 0, 20, United-States, <=50K.
+19, ?, 214087, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+27, Private, 181291, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 35, Italy, <=50K.
+44, Private, 146908, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+50, Self-emp-inc, 262777, Masters, 14, Separated, Exec-managerial, Unmarried, Asian-Pac-Islander, Male, 0, 0, 45, China, <=50K.
+53, Local-gov, 394765, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+41, Private, 207335, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, >50K.
+23, Private, 133712, HS-grad, 9, Never-married, Other-service, Other-relative, White, Female, 0, 0, 45, United-States, <=50K.
+24, State-gov, 105479, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+31, Private, 140092, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+37, Private, 53232, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 55, United-States, >50K.
+57, Private, 178154, 10th, 6, Widowed, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+25, Private, 202203, Bachelors, 13, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 60, United-States, <=50K.
+50, Private, 49340, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+47, Private, 106207, 11th, 7, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+23, Private, 103064, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+30, Local-gov, 79190, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+18, Private, 473449, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 30, United-States, <=50K.
+48, Private, 189498, 11th, 7, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+34, Private, 149902, Masters, 14, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 28, United-States, <=50K.
+44, Private, 150098, Some-college, 10, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 50, United-States, >50K.
+40, Private, 100451, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+35, Private, 193094, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Female, 0, 0, 48, United-States, <=50K.
+37, Private, 202950, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+34, Private, 161444, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 39, United-States, <=50K.
+33, Self-emp-not-inc, 303867, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 70, United-States, >50K.
+36, Private, 143912, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+29, ?, 42623, HS-grad, 9, Never-married, ?, Not-in-family, White, Male, 0, 0, 32, United-States, <=50K.
+37, ?, 145064, Assoc-acdm, 12, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 32, United-States, <=50K.
+53, Private, 199287, 9th, 5, Never-married, Priv-house-serv, Not-in-family, White, Female, 0, 0, 9, United-States, <=50K.
+48, Private, 250733, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+36, Private, 372525, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 48, United-States, <=50K.
+21, Private, 338162, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female, 0, 0, 37, United-States, <=50K.
+38, Private, 154210, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, >50K.
+55, Private, 158702, 10th, 6, Married-spouse-absent, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+29, Private, 199118, Some-college, 10, Never-married, Tech-support, Own-child, White, Female, 0, 0, 40, Nicaragua, <=50K.
+59, Private, 104455, Some-college, 10, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K.
+42, Self-emp-not-inc, 210013, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+22, Private, 440934, Some-college, 10, Never-married, Sales, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+31, Private, 375833, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K.
+41, Private, 289551, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 7688, 0, 40, United-States, >50K.
+45, Private, 272729, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+31, State-gov, 176185, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+53, Private, 155403, HS-grad, 9, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 20, United-States, <=50K.
+47, Federal-gov, 239321, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, >50K.
+27, Private, 365745, 10th, 6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 20, United-States, <=50K.
+49, Private, 107399, HS-grad, 9, Separated, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+34, Private, 93394, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 65, United-States, <=50K.
+34, Self-emp-not-inc, 143078, Assoc-voc, 11, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+50, Local-gov, 283314, Assoc-acdm, 12, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 1977, 40, United-States, >50K.
+37, Private, 194668, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, >50K.
+27, Private, 170301, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K.
+31, Self-emp-inc, 162442, Masters, 14, Never-married, Sales, Own-child, White, Female, 27828, 0, 40, United-States, >50K.
+24, Private, 456430, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+28, Private, 337424, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 80, United-States, <=50K.
+27, Private, 160291, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, Germany, <=50K.
+41, Private, 341204, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K.
+28, Private, 148084, HS-grad, 9, Never-married, Handlers-cleaners, Unmarried, Black, Female, 0, 0, 40, Dominican-Republic, <=50K.
+26, Private, 102476, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+17, ?, 183161, 12th, 8, Never-married, ?, Own-child, White, Female, 0, 0, 8, United-States, <=50K.
+17, Private, 160029, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 14, United-States, <=50K.
+70, Self-emp-not-inc, 152066, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+57, Private, 175942, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, ?, >50K.
+64, Private, 387669, 1st-4th, 2, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+38, Self-emp-not-inc, 179824, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+23, Private, 107882, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+18, ?, 65249, 12th, 8, Never-married, ?, Own-child, White, Male, 0, 0, 30, United-States, <=50K.
+47, Self-emp-not-inc, 267879, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 3103, 0, 50, United-States, >50K.
+54, Private, 150999, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 44, United-States, <=50K.
+42, Local-gov, 69758, Assoc-acdm, 12, Divorced, Protective-serv, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 48, United-States, >50K.
+23, Private, 180795, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+28, Private, 257283, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+40, Private, 196344, 5th-6th, 3, Married-civ-spouse, Other-service, Husband, White, Male, 0, 1672, 30, Mexico, <=50K.
+32, Private, 155151, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K.
+35, Self-emp-not-inc, 368140, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 65, United-States, >50K.
+17, Private, 95079, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 15, United-States, <=50K.
+37, ?, 254773, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+23, Private, 181659, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+47, ?, 215620, HS-grad, 9, Never-married, ?, Not-in-family, White, Male, 0, 0, 12, United-States, <=50K.
+29, Private, 169104, HS-grad, 9, Married-civ-spouse, Exec-managerial, Other-relative, Asian-Pac-Islander, Male, 0, 0, 75, Thailand, <=50K.
+33, Local-gov, 100446, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+46, Private, 189680, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K.
+24, Private, 376474, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 35, United-States, <=50K.
+44, Private, 112494, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+33, ?, 212491, HS-grad, 9, Divorced, ?, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K.
+68, Local-gov, 254218, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 24, United-States, <=50K.
+34, Private, 421200, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+19, Private, 426589, HS-grad, 9, Married-spouse-absent, Other-service, Own-child, White, Female, 0, 0, 35, United-States, <=50K.
+27, Private, 335015, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 65, United-States, <=50K.
+25, Private, 78605, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+62, Self-emp-inc, 123749, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 90, United-States, <=50K.
+31, Private, 245500, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 25, ?, <=50K.
+32, Private, 226443, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+31, Self-emp-not-inc, 150630, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+27, Private, 257124, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 25, United-States, <=50K.
+36, Private, 127865, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 4650, 0, 25, United-States, <=50K.
+50, Private, 27432, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 30, United-States, <=50K.
+31, Private, 161765, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+42, Private, 42703, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+27, Private, 209641, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+22, Private, 93131, Some-college, 10, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male, 1055, 0, 20, China, <=50K.
+46, Private, 191821, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+25, Private, 410009, Some-college, 10, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+37, Private, 334291, Some-college, 10, Divorced, Sales, Not-in-family, White, Male, 0, 2258, 40, United-States, <=50K.
+58, Self-emp-inc, 274363, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 1977, 50, United-States, >50K.
+17, Private, 102456, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K.
+35, State-gov, 102268, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 35, United-States, <=50K.
+46, Private, 220979, Some-college, 10, Divorced, Tech-support, Not-in-family, Amer-Indian-Eskimo, Male, 13550, 0, 40, United-States, >50K.
+35, ?, 111377, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+36, Private, 187847, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+22, Private, 40052, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+21, Private, 133375, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 48, United-States, <=50K.
+46, Private, 226032, Bachelors, 13, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 16, United-States, >50K.
+27, Private, 211032, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+33, Private, 392812, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K.
+34, Federal-gov, 174724, Assoc-voc, 11, Divorced, Adm-clerical, Own-child, Black, Female, 1831, 0, 40, United-States, <=50K.
+50, Local-gov, 363405, Some-college, 10, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+19, Private, 42750, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K.
+40, Self-emp-not-inc, 174112, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 50, United-States, <=50K.
+65, Self-emp-not-inc, 326936, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+39, Self-emp-not-inc, 188069, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, >50K.
+48, Private, 366089, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K.
+32, Private, 162160, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+32, Private, 114937, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 6849, 0, 40, United-States, <=50K.
+61, Private, 189932, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 30, United-States, <=50K.
+57, Private, 168447, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+32, Private, 154210, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Other, Male, 0, 1902, 45, Japan, >50K.
+29, Private, 211331, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, Mexico, <=50K.
+57, Private, 157749, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+72, Self-emp-inc, 84587, 5th-6th, 3, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 20, Japan, <=50K.
+27, Private, 269246, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 3464, 0, 45, United-States, <=50K.
+26, Private, 305129, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+63, Private, 253556, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+58, Self-emp-inc, 229116, Prof-school, 15, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 70, United-States, >50K.
+45, Private, 111381, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 65, United-States, <=50K.
+41, Private, 121201, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+26, Local-gov, 271836, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 50, United-States, >50K.
+47, Private, 116641, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 4, France, <=50K.
+37, Private, 171524, 5th-6th, 3, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, ?, <=50K.
+52, Private, 145409, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+40, Private, 174575, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K.
+38, State-gov, 149135, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+32, Private, 234096, 11th, 7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+32, Local-gov, 210973, Some-college, 10, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+37, Local-gov, 269323, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+69, Private, 29087, 7th-8th, 4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 6, United-States, <=50K.
+27, Self-emp-not-inc, 177831, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Hungary, <=50K.
+39, Self-emp-not-inc, 167106, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 72, South, <=50K.
+56, Private, 118993, HS-grad, 9, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K.
+26, Private, 102875, Assoc-acdm, 12, Never-married, Sales, Own-child, White, Female, 0, 0, 40, India, <=50K.
+89, ?, 29106, 10th, 6, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 20, United-States, <=50K.
+32, Private, 101103, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+35, Self-emp-not-inc, 135020, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 75, United-States, >50K.
+26, Private, 182390, 11th, 7, Separated, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+53, Private, 174102, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+19, ?, 138153, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+23, Private, 162282, Assoc-acdm, 12, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K.
+51, Private, 280292, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+25, Local-gov, 307294, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+57, Private, 94156, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 84, United-States, >50K.
+59, ?, 199033, 9th, 5, Married-civ-spouse, ?, Wife, Black, Female, 0, 0, 32, United-States, <=50K.
+61, Private, 57408, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K.
+41, Private, 210922, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 55, ?, <=50K.
+20, Private, 138994, HS-grad, 9, Never-married, Sales, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, Vietnam, <=50K.
+22, Private, 416103, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 50, United-States, <=50K.
+42, Private, 166740, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1887, 50, United-States, >50K.
+47, Self-emp-inc, 139268, 7th-8th, 4, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+21, State-gov, 165474, Some-college, 10, Never-married, Tech-support, Own-child, White, Male, 0, 0, 30, United-States, <=50K.
+37, Private, 100316, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+28, ?, 49028, HS-grad, 9, Never-married, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+38, Self-emp-inc, 85566, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K.
+27, Private, 58150, HS-grad, 9, Separated, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+55, Self-emp-not-inc, 376548, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+20, Private, 398166, 11th, 7, Never-married, Other-service, Own-child, Black, Male, 0, 0, 40, United-States, <=50K.
+43, Private, 86797, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+46, Private, 161819, HS-grad, 9, Separated, Other-service, Unmarried, Black, Female, 0, 0, 25, United-States, <=50K.
+19, Private, 187125, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K.
+30, Private, 226535, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 4865, 0, 40, United-States, <=50K.
+23, Self-emp-inc, 216889, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 1977, 40, United-States, >50K.
+65, Self-emp-not-inc, 135517, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+28, Private, 336951, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+44, State-gov, 101603, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+32, Local-gov, 205931, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 37, United-States, <=50K.
+40, Federal-gov, 105119, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+58, Self-emp-not-inc, 200316, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+17, Private, 132859, 10th, 6, Never-married, Other-service, Other-relative, White, Male, 0, 0, 35, United-States, <=50K.
+57, Private, 137031, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+24, Local-gov, 184975, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+47, Private, 165539, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, Black, Female, 4101, 0, 40, Jamaica, <=50K.
+26, Private, 48099, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+42, Private, 47012, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 40, United-States, >50K.
+60, Local-gov, 195409, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 52, United-States, >50K.
+54, Private, 20795, HS-grad, 9, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+44, State-gov, 484879, Bachelors, 13, Separated, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+47, Self-emp-not-inc, 276087, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 65, United-States, <=50K.
+37, Federal-gov, 45937, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 48, United-States, >50K.
+48, Federal-gov, 102359, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 40, United-States, >50K.
+30, Private, 186824, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K.
+20, Private, 203914, 12th, 8, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K.
+30, Self-emp-not-inc, 209808, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+22, Private, 228516, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+62, Private, 49424, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 5178, 0, 40, United-States, >50K.
+25, Private, 359067, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K.
+55, Self-emp-not-inc, 340171, HS-grad, 9, Separated, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+19, Private, 142037, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 30, United-States, <=50K.
+28, Local-gov, 157437, Bachelors, 13, Never-married, Protective-serv, Not-in-family, White, Female, 4650, 0, 48, United-States, <=50K.
+47, State-gov, 142287, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, >50K.
+35, State-gov, 189794, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+37, Private, 258289, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+19, Private, 352849, HS-grad, 9, Never-married, Sales, Other-relative, Black, Female, 0, 1719, 30, United-States, <=50K.
+37, Private, 162322, Assoc-voc, 11, Separated, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+24, Private, 200295, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K.
+26, ?, 296372, HS-grad, 9, Divorced, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+54, Local-gov, 190333, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+40, Self-emp-not-inc, 211518, Bachelors, 13, Divorced, Other-service, Unmarried, White, Female, 0, 0, 20, United-States, <=50K.
+70, Private, 264098, 10th, 6, Widowed, Transport-moving, Not-in-family, White, Female, 2538, 0, 40, United-States, <=50K.
+43, Private, 393762, Some-college, 10, Separated, Sales, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K.
+49, Local-gov, 181970, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+47, Self-emp-inc, 110901, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2415, 55, United-States, >50K.
+21, Private, 92863, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+24, Private, 111368, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+45, ?, 83601, 12th, 8, Widowed, ?, Unmarried, White, Female, 0, 0, 70, United-States, <=50K.
+47, Private, 164682, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, ?, <=50K.
+37, Private, 166549, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+24, Private, 176566, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Wife, White, Female, 3103, 0, 40, United-States, >50K.
+18, Private, 201613, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 5, United-States, <=50K.
+27, Private, 285294, Assoc-acdm, 12, Never-married, Adm-clerical, Other-relative, Black, Female, 0, 0, 60, United-States, <=50K.
+75, Private, 100301, 10th, 6, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K.
+22, Private, 120320, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+29, Local-gov, 218650, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+32, Private, 339482, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K.
+64, Private, 301352, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+41, Local-gov, 225978, Assoc-voc, 11, Separated, Craft-repair, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K.
+39, Private, 337778, Some-college, 10, Divorced, Sales, Not-in-family, White, Male, 4650, 0, 40, United-States, <=50K.
+49, Private, 241350, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 5178, 0, 40, United-States, >50K.
+36, Private, 266645, 12th, 8, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 42, United-States, <=50K.
+18, Private, 100863, 12th, 8, Never-married, Sales, Own-child, White, Female, 0, 0, 15, United-States, <=50K.
+55, Local-gov, 227386, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+44, Private, 315971, Masters, 14, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K.
+20, Private, 177287, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K.
+20, Private, 169022, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K.
+50, Private, 205803, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+22, Federal-gov, 277700, Some-college, 10, Never-married, Tech-support, Own-child, White, Male, 0, 0, 20, United-States, <=50K.
+24, Self-emp-not-inc, 166371, HS-grad, 9, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K.
+20, ?, 295763, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+75, Self-emp-inc, 152519, Doctorate, 16, Widowed, Prof-specialty, Not-in-family, White, Male, 25124, 0, 20, United-States, >50K.
+44, Private, 438696, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+41, Self-emp-inc, 34266, 10th, 6, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+19, Private, 136391, HS-grad, 9, Never-married, Tech-support, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+38, Private, 435638, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 1876, 40, United-States, <=50K.
+23, Private, 51973, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 50, Japan, <=50K.
+40, Private, 109800, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+41, Federal-gov, 260761, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+59, Private, 109015, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 38, United-States, >50K.
+35, Private, 272944, Bachelors, 13, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+35, Private, 290498, Preschool, 1, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 38, Mexico, <=50K.
+25, Private, 176864, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+64, State-gov, 169914, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+55, Private, 205759, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+63, Private, 271075, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 29, United-States, <=50K.
+19, Private, 239995, 11th, 7, Never-married, Sales, Other-relative, White, Male, 0, 0, 16, United-States, <=50K.
+27, Private, 65663, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+20, ?, 259865, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 25, Mexico, <=50K.
+42, Self-emp-not-inc, 34722, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+37, Private, 225821, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1485, 40, United-States, >50K.
+39, Private, 191503, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+46, ?, 110243, Masters, 14, Married-civ-spouse, ?, Husband, White, Male, 0, 1977, 20, United-States, >50K.
+30, Self-emp-not-inc, 227429, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, Yugoslavia, <=50K.
+52, Private, 174452, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+27, Private, 209085, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 44, United-States, >50K.
+54, Private, 192386, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 38, United-States, >50K.
+19, ?, 234877, 11th, 7, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+28, Private, 320862, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+22, Private, 535027, Some-college, 10, Never-married, Transport-moving, Unmarried, Black, Male, 0, 0, 15, United-States, <=50K.
+33, Private, 137421, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 35, Japan, <=50K.
+46, Private, 195727, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 42, United-States, <=50K.
+49, Self-emp-not-inc, 163229, 5th-6th, 3, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K.
+31, Private, 50753, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 70, United-States, <=50K.
+49, Private, 173503, 12th, 8, Divorced, Other-service, Unmarried, White, Female, 0, 0, 45, United-States, <=50K.
+17, Federal-gov, 29078, 11th, 7, Never-married, Adm-clerical, Own-child, Amer-Indian-Eskimo, Female, 0, 0, 15, United-States, <=50K.
+35, Private, 360743, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, Black, Male, 0, 0, 55, United-States, <=50K.
+39, Self-emp-inc, 142149, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 20, United-States, >50K.
+26, Private, 464552, 5th-6th, 3, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K.
+59, Private, 47444, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 74, United-States, >50K.
+37, Private, 24721, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 25, United-States, <=50K.
+53, Private, 187492, Bachelors, 13, Divorced, Craft-repair, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K.
+50, Private, 229318, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 50, Trinadad&Tobago, <=50K.
+48, Private, 358382, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 52, United-States, <=50K.
+60, State-gov, 119832, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+18, Private, 414166, 12th, 8, Never-married, Other-service, Own-child, Black, Female, 0, 0, 32, United-States, <=50K.
+35, Private, 147638, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female, 0, 0, 40, Hong, <=50K.
+26, Self-emp-not-inc, 33016, Assoc-voc, 11, Divorced, Other-service, Unmarried, White, Female, 0, 0, 55, United-States, <=50K.
+20, ?, 386962, 10th, 6, Never-married, ?, Own-child, White, Male, 0, 0, 40, Mexico, <=50K.
+32, Private, 39248, Bachelors, 13, Never-married, Tech-support, Not-in-family, Other, Male, 0, 0, 40, United-States, <=50K.
+69, Private, 232683, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 15, France, >50K.
+31, Self-emp-not-inc, 55912, 9th, 5, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 47, United-States, <=50K.
+35, Private, 113152, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+65, Self-emp-inc, 150095, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+63, Private, 114424, Some-college, 10, Separated, Machine-op-inspct, Other-relative, Black, Female, 0, 0, 37, United-States, <=50K.
+26, ?, 408417, Some-college, 10, Married-AF-spouse, ?, Husband, Black, Male, 0, 0, 38, United-States, <=50K.
+29, Private, 163167, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K.
+48, Private, 86009, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+35, Federal-gov, 316582, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 7298, 0, 40, United-States, >50K.
+50, Self-emp-not-inc, 165219, Prof-school, 15, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 35, United-States, >50K.
+21, Private, 99829, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K.
+47, Private, 275095, 9th, 5, Widowed, Exec-managerial, Unmarried, White, Female, 0, 0, 50, United-States, <=50K.
+42, Private, 167650, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 35, United-States, <=50K.
+52, Self-emp-not-inc, 141820, 10th, 6, Divorced, Other-service, Own-child, White, Female, 0, 0, 27, United-States, <=50K.
+29, Private, 108253, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, Other, Female, 0, 0, 40, United-States, <=50K.
+41, Private, 156526, Some-college, 10, Separated, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+36, Self-emp-inc, 185366, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+43, Self-emp-inc, 314739, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 92, United-States, >50K.
+20, Private, 336101, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K.
+38, Private, 49115, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 55, United-States, <=50K.
+35, Self-emp-inc, 186488, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 50, Puerto-Rico, <=50K.
+18, ?, 158826, 12th, 8, Never-married, ?, Own-child, Black, Female, 0, 0, 15, United-States, <=50K.
+24, Private, 218415, 11th, 7, Separated, Handlers-cleaners, Other-relative, White, Female, 0, 0, 40, United-States, <=50K.
+27, Private, 76978, HS-grad, 9, Never-married, Other-service, Own-child, Black, Female, 0, 0, 40, United-States, <=50K.
+47, Private, 213408, 9th, 5, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, Cuba, <=50K.
+44, Private, 181265, Assoc-acdm, 12, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+18, Local-gov, 242956, 11th, 7, Never-married, Prof-specialty, Own-child, Black, Female, 0, 0, 40, United-States, <=50K.
+30, Private, 226696, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K.
+30, Private, 186932, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 75, United-States, <=50K.
+50, Federal-gov, 107079, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+32, Private, 154950, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+18, Private, 48597, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+40, Private, 196344, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1887, 45, United-States, >50K.
+37, Self-emp-inc, 152414, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K.
+61, Private, 222966, 9th, 5, Widowed, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+39, Self-emp-not-inc, 272671, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+26, Private, 235520, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K.
+30, Private, 232766, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+40, Private, 309990, HS-grad, 9, Separated, Adm-clerical, Not-in-family, White, Female, 8614, 0, 60, United-States, >50K.
+40, Private, 95639, HS-grad, 9, Separated, Handlers-cleaners, Unmarried, Amer-Indian-Eskimo, Male, 0, 0, 45, United-States, <=50K.
+20, ?, 177161, HS-grad, 9, Never-married, ?, Own-child, Other, Female, 0, 0, 45, United-States, <=50K.
+51, Local-gov, 133963, HS-grad, 9, Separated, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, ?, <=50K.
+45, Self-emp-not-inc, 240786, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+44, Local-gov, 141186, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 8614, 0, 35, United-States, >50K.
+65, Private, 109221, 7th-8th, 4, Widowed, Priv-house-serv, Not-in-family, White, Female, 0, 3175, 60, Puerto-Rico, <=50K.
+29, Private, 337953, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 2885, 0, 40, United-States, <=50K.
+49, State-gov, 189762, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+18, ?, 40190, 12th, 8, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+66, Private, 171824, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K.
+48, Private, 83545, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 65, United-States, >50K.
+28, Private, 142712, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 37, United-States, >50K.
+19, Private, 91893, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 24, United-States, <=50K.
+23, Private, 443701, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K.
+40, Private, 438427, Some-college, 10, Never-married, Sales, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K.
+53, Self-emp-inc, 69372, Doctorate, 16, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 40, India, >50K.
+49, Private, 243190, Assoc-voc, 11, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+41, Private, 109762, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+22, Private, 91189, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+56, Federal-gov, 205805, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 40, United-States, >50K.
+48, Local-gov, 212050, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+51, Private, 152652, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+18, Private, 157193, 12th, 8, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, Italy, <=50K.
+32, Private, 36592, 11th, 7, Never-married, Farming-fishing, Unmarried, White, Male, 0, 0, 50, United-States, <=50K.
+39, Private, 192664, Some-college, 10, Divorced, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+38, Federal-gov, 99280, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K.
+54, Private, 168621, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+37, Private, 127048, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+29, Private, 167610, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+36, Private, 108320, HS-grad, 9, Divorced, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+21, Private, 369643, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 35, United-States, <=50K.
+27, Private, 232388, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 4386, 0, 40, United-States, >50K.
+28, Private, 513719, HS-grad, 9, Separated, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+23, Private, 27073, Some-college, 10, Never-married, Adm-clerical, Unmarried, Other, Female, 0, 0, 40, United-States, <=50K.
+54, Private, 105428, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+36, Private, 167284, Assoc-voc, 11, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+22, Private, 320615, 7th-8th, 4, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 35, United-States, <=50K.
+27, Local-gov, 47284, HS-grad, 9, Never-married, Protective-serv, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+42, Private, 45156, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+46, Private, 166269, Some-college, 10, Divorced, Sales, Unmarried, White, Male, 0, 0, 50, United-States, <=50K.
+28, Federal-gov, 236418, Some-college, 10, Never-married, Exec-managerial, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+21, Private, 311478, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 45, United-States, <=50K.
+50, Private, 256908, Doctorate, 16, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K.
+20, Private, 256796, HS-grad, 9, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K.
+27, Private, 168138, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+23, Private, 244413, 12th, 8, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 30, Ecuador, <=50K.
+66, ?, 52728, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 10, United-States, <=50K.
+23, ?, 223019, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 35, United-States, <=50K.
+23, Private, 215443, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K.
+41, Private, 99665, 9th, 5, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 80, United-States, <=50K.
+39, Private, 243485, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+38, Private, 169872, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 3887, 0, 45, United-States, <=50K.
+46, Private, 116338, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+29, Private, 109989, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+35, Private, 144401, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, >50K.
+23, Local-gov, 199555, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 1590, 40, United-States, <=50K.
+33, Self-emp-not-inc, 105229, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+31, Private, 185216, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+52, Private, 155278, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+28, Private, 371408, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 47, United-States, <=50K.
+56, Private, 177271, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+38, Private, 234891, Some-college, 10, Divorced, Handlers-cleaners, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K.
+21, Private, 356286, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+60, ?, 225894, Preschool, 1, Widowed, ?, Not-in-family, White, Female, 0, 0, 40, Guatemala, <=50K.
+19, Private, 181781, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 28, United-States, <=50K.
+23, Private, 197756, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 35, United-States, <=50K.
+69, Local-gov, 216269, Assoc-acdm, 12, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+50, Private, 33931, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+46, Private, 151584, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 30, United-States, >50K.
+53, Private, 286085, Some-college, 10, Widowed, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+56, Self-emp-not-inc, 111385, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+35, Private, 280966, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+30, Private, 221178, HS-grad, 9, Separated, Other-service, Other-relative, White, Male, 0, 0, 28, United-States, <=50K.
+60, Private, 74422, 5th-6th, 3, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 44, Mexico, <=50K.
+21, Private, 103031, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 20, United-States, <=50K.
+46, State-gov, 209739, 10th, 6, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 38, United-States, <=50K.
+23, State-gov, 112137, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Other, Female, 0, 0, 40, Canada, <=50K.
+26, Private, 138537, 11th, 7, Never-married, Exec-managerial, Not-in-family, Black, Male, 0, 0, 50, United-States, <=50K.
+72, Private, 135378, 7th-8th, 4, Widowed, Other-service, Unmarried, Black, Female, 0, 0, 20, United-States, <=50K.
+48, Private, 175006, 1st-4th, 2, Separated, Machine-op-inspct, Other-relative, Black, Male, 0, 0, 48, United-States, <=50K.
+26, Private, 182194, Assoc-acdm, 12, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+20, Private, 194686, Some-college, 10, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 15, United-States, <=50K.
+27, Private, 70034, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+53, Federal-gov, 439263, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, >50K.
+72, Private, 74749, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 17, United-States, <=50K.
+26, Private, 231638, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+50, Private, 197623, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K.
+22, ?, 148409, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 1721, 40, United-States, <=50K.
+17, ?, 40299, 10th, 6, Never-married, ?, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K.
+46, Self-emp-not-inc, 96260, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K.
+47, Self-emp-not-inc, 62143, Masters, 14, Married-civ-spouse, Exec-managerial, Wife, White, Female, 15024, 0, 40, United-States, >50K.
+22, Private, 193027, HS-grad, 9, Married-spouse-absent, Sales, Unmarried, White, Female, 0, 0, 30, United-States, <=50K.
+24, ?, 334105, 11th, 7, Never-married, ?, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K.
+46, Private, 31411, 11th, 7, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, ?, <=50K.
+60, Private, 140516, Some-college, 10, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+51, Private, 155963, 9th, 5, Divorced, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+58, Self-emp-not-inc, 119891, Masters, 14, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 35, United-States, >50K.
+32, Private, 206609, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+41, Private, 425444, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 15024, 0, 50, United-States, >50K.
+52, Private, 114674, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 52, United-States, >50K.
+54, Federal-gov, 57679, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K.
+48, Private, 213140, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K.
+52, Local-gov, 295494, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K.
+46, Private, 182862, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 32, United-States, <=50K.
+50, Private, 178529, 11th, 7, Divorced, Protective-serv, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+36, Private, 214031, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 80, United-States, <=50K.
+17, Private, 350538, 10th, 6, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K.
+29, Private, 238073, Some-college, 10, Never-married, Machine-op-inspct, Other-relative, White, Male, 0, 0, 40, Columbia, <=50K.
+29, Private, 194640, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+39, Self-emp-not-inc, 139770, Masters, 14, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 30, United-States, >50K.
+21, Private, 164177, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+62, Private, 99470, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K.
+61, Private, 359367, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+72, Local-gov, 45612, Assoc-acdm, 12, Divorced, Prof-specialty, Unmarried, Black, Female, 0, 0, 16, United-States, <=50K.
+33, Private, 127651, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K.
+34, Private, 193132, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K.
+26, Local-gov, 314798, Some-college, 10, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 60, United-States, >50K.
+33, Private, 108438, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K.
+41, Private, 165815, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+18, ?, 136172, 11th, 7, Never-married, ?, Own-child, White, Male, 0, 0, 35, United-States, <=50K.
+24, Private, 127159, Some-college, 10, Never-married, Other-service, Other-relative, White, Female, 0, 0, 24, ?, <=50K.
+18, ?, 220168, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 16, United-States, <=50K.
+55, Private, 127677, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+42, Private, 119941, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+32, Private, 93699, HS-grad, 9, Widowed, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+46, Federal-gov, 196649, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+18, Private, 332763, HS-grad, 9, Never-married, Exec-managerial, Other-relative, White, Female, 0, 0, 40, United-States, <=50K.
+36, Private, 158363, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+38, Private, 249039, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 3103, 0, 40, United-States, >50K.
+39, Private, 454585, 5th-6th, 3, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 54, Mexico, <=50K.
+31, Private, 121321, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+40, Private, 229148, HS-grad, 9, Divorced, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+18, Private, 221284, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 64, United-States, <=50K.
+38, Private, 428251, Some-college, 10, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+47, Self-emp-inc, 77660, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K.
+21, Private, 139722, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Puerto-Rico, <=50K.
+33, State-gov, 171151, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K.
+51, Private, 94819, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 30, United-States, <=50K.
+44, Private, 214546, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 48, United-States, >50K.
+45, Self-emp-inc, 190482, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+22, Private, 283029, 9th, 5, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 54, United-States, <=50K.
+48, ?, 142719, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 48, United-States, >50K.
+40, Private, 244172, 5th-6th, 3, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+26, Local-gov, 120238, Assoc-voc, 11, Never-married, Adm-clerical, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+29, Private, 66095, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+46, Private, 129232, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K.
+41, Private, 44121, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+31, Private, 243678, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+34, Private, 118786, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K.
+39, Self-emp-not-inc, 176900, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 50, United-States, >50K.
+50, Private, 155574, Assoc-acdm, 12, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 55, United-States, >50K.
+41, Private, 76625, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+18, Private, 192254, Some-college, 10, Never-married, Sales, Other-relative, White, Female, 0, 0, 15, United-States, <=50K.
+35, Private, 238802, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K.
+22, Private, 247731, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+18, Private, 397606, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+23, ?, 370057, Some-college, 10, Never-married, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+62, ?, 190873, Bachelors, 13, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+50, Local-gov, 145879, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 40, United-States, >50K.
+52, Private, 618130, HS-grad, 9, Divorced, Other-service, Own-child, Black, Female, 0, 0, 40, United-States, <=50K.
+24, Private, 542762, Bachelors, 13, Never-married, Sales, Other-relative, Black, Male, 0, 0, 50, United-States, <=50K.
+31, Private, 144124, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+28, Private, 190539, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+33, Private, 92462, Assoc-acdm, 12, Never-married, Sales, Unmarried, Black, Male, 0, 0, 32, United-States, <=50K.
+48, Private, 129974, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+62, State-gov, 254890, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+51, Private, 261207, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Cuba, >50K.
+39, Self-emp-inc, 206362, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+51, Private, 27804, Some-college, 10, Divorced, Priv-house-serv, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 35, United-States, <=50K.
+57, Self-emp-not-inc, 771836, Assoc-acdm, 12, Divorced, Prof-specialty, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+29, Private, 101108, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K.
+49, Private, 255466, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 43, United-States, <=50K.
+30, Local-gov, 204494, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 3137, 0, 70, Germany, <=50K.
+53, Private, 271918, 9th, 5, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+17, Private, 152619, 12th, 8, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K.
+59, Private, 107318, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+23, Private, 130773, Bachelors, 13, Never-married, Exec-managerial, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+20, ?, 117210, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+48, Private, 148549, Assoc-acdm, 12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+64, Private, 181530, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+37, Private, 365739, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K.
+54, Local-gov, 182429, HS-grad, 9, Widowed, Transport-moving, Unmarried, White, Female, 0, 0, 38, United-States, <=50K.
+41, Private, 381510, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 50, United-States, <=50K.
+45, Self-emp-not-inc, 116789, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+36, Self-emp-inc, 196554, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 46, United-States, >50K.
+27, Private, 335878, Assoc-acdm, 12, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 45, United-States, <=50K.
+25, Private, 184120, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+39, Private, 260084, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 24, United-States, <=50K.
+44, Private, 160369, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+22, Private, 164901, 11th, 7, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K.
+21, ?, 96844, HS-grad, 9, Married-civ-spouse, ?, Other-relative, White, Female, 0, 0, 40, United-States, <=50K.
+56, Private, 124566, 5th-6th, 3, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+30, Private, 473133, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+44, Private, 335223, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K.
+53, Private, 380086, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 48, United-States, >50K.
+32, Private, 198265, 1st-4th, 2, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 21, United-States, <=50K.
+33, ?, 32207, HS-grad, 9, Divorced, ?, Not-in-family, White, Male, 0, 0, 75, United-States, <=50K.
+60, Private, 288684, 5th-6th, 3, Divorced, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+35, Private, 302604, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K.
+58, Private, 170290, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K.
+53, Self-emp-inc, 195398, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 1887, 48, Canada, >50K.
+54, Local-gov, 256923, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K.
+26, Private, 464552, 9th, 5, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 45, Mexico, <=50K.
+27, Private, 112754, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 56, United-States, <=50K.
+59, Private, 176118, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 7, United-States, >50K.
+63, ?, 316627, 10th, 6, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 10, United-States, <=50K.
+70, Private, 146628, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 3471, 0, 33, United-States, <=50K.
+26, Private, 108822, HS-grad, 9, Never-married, Transport-moving, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+28, Private, 208608, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 30, United-States, <=50K.
+22, Private, 317019, 11th, 7, Separated, Other-service, Unmarried, White, Female, 0, 0, 20, United-States, <=50K.
+24, Private, 250978, Some-college, 10, Never-married, Transport-moving, Not-in-family, Black, Male, 0, 0, 75, United-States, <=50K.
+46, Private, 224559, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, >50K.
+56, State-gov, 138593, Assoc-acdm, 12, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+37, Private, 175614, 10th, 6, Never-married, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+24, Private, 396099, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+39, Private, 122493, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 40, United-States, >50K.
+53, Local-gov, 182677, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, Asian-Pac-Islander, Male, 0, 0, 50, Philippines, <=50K.
+57, State-gov, 247624, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+36, Private, 210458, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, Mexico, <=50K.
+25, Private, 91639, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K.
+29, Private, 334096, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K.
+21, ?, 183945, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 35, United-States, <=50K.
+47, Private, 78022, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+51, Self-emp-inc, 318351, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 1741, 40, United-States, <=50K.
+23, Private, 233280, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, White, Female, 8614, 0, 70, United-States, >50K.
+22, Private, 100188, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+29, Private, 85572, Bachelors, 13, Never-married, Exec-managerial, Other-relative, White, Female, 0, 0, 40, United-States, <=50K.
+50, Self-emp-not-inc, 61735, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 25, United-States, >50K.
+23, Private, 206827, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K.
+21, Private, 210053, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+38, Local-gov, 172016, Bachelors, 13, Divorced, Prof-specialty, Own-child, Black, Female, 0, 0, 40, United-States, <=50K.
+19, ?, 138153, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+31, ?, 183855, 11th, 7, Never-married, ?, Unmarried, White, Female, 0, 0, 20, United-States, <=50K.
+30, Private, 188362, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 5178, 0, 40, United-States, >50K.
+42, Private, 191429, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 60, United-States, >50K.
+52, Private, 357596, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Male, 0, 0, 40, United-States, <=50K.
+25, Local-gov, 278404, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+20, Private, 180339, HS-grad, 9, Never-married, Other-service, Other-relative, White, Female, 0, 0, 35, United-States, <=50K.
+43, Private, 355431, Some-college, 10, Divorced, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+33, Private, 223212, Some-college, 10, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K.
+34, Private, 116371, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K.
+41, ?, 199018, Some-college, 10, Divorced, ?, Not-in-family, White, Male, 0, 1504, 40, United-States, <=50K.
+43, Private, 435266, Doctorate, 16, Separated, Exec-managerial, Not-in-family, White, Female, 14084, 0, 60, United-States, >50K.
+61, Private, 345697, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 3103, 0, 40, United-States, >50K.
+49, Private, 253973, 10th, 6, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+42, ?, 191149, Bachelors, 13, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 28, United-States, >50K.
+42, Private, 197344, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+23, Private, 437161, Some-college, 10, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+72, ?, 94268, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 8, United-States, <=50K.
+50, Self-emp-inc, 207841, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 45, United-States, >50K.
+34, Private, 46492, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K.
+47, State-gov, 190325, Some-college, 10, Divorced, Tech-support, Unmarried, Black, Female, 0, 0, 48, United-States, <=50K.
+48, Private, 158944, HS-grad, 9, Widowed, Craft-repair, Not-in-family, White, Female, 0, 0, 60, United-States, >50K.
+37, Private, 228598, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, Other, Male, 0, 0, 40, Mexico, <=50K.
+23, Private, 349156, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+17, ?, 246974, 12th, 8, Never-married, ?, Own-child, White, Male, 0, 0, 30, United-States, <=50K.
+66, Private, 386120, 11th, 7, Married-civ-spouse, Other-service, Husband, White, Male, 10605, 0, 40, United-States, >50K.
+26, Private, 220678, 5th-6th, 3, Never-married, Handlers-cleaners, Own-child, Black, Female, 0, 0, 40, Dominican-Republic, <=50K.
+41, Private, 462964, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 2174, 0, 50, United-States, <=50K.
+19, Private, 158603, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 37, United-States, <=50K.
+26, ?, 167261, HS-grad, 9, Divorced, ?, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K.
+34, Private, 412933, 12th, 8, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 55, United-States, <=50K.
+59, Local-gov, 167027, Some-college, 10, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+24, Private, 194829, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K.
+47, Private, 145636, Assoc-voc, 11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 48, United-States, >50K.
+57, ?, 123632, Bachelors, 13, Never-married, ?, Not-in-family, Black, Female, 0, 0, 35, United-States, <=50K.
+49, Private, 27614, HS-grad, 9, Separated, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+25, Private, 324854, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+37, Private, 22245, Some-college, 10, Divorced, Sales, Not-in-family, White, Male, 0, 0, 40, Outlying-US(Guam-USVI-etc), <=50K.
+31, Private, 101352, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+39, ?, 238721, Bachelors, 13, Divorced, ?, Own-child, Black, Female, 0, 0, 40, United-States, <=50K.
+22, Private, 289982, 11th, 7, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+23, Private, 399449, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+39, ?, 142804, HS-grad, 9, Divorced, ?, Unmarried, White, Female, 0, 0, 16, United-States, <=50K.
+26, Private, 121427, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+41, Private, 230959, Bachelors, 13, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K.
+42, Private, 191342, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Taiwan, >50K.
+64, Private, 285610, 11th, 7, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+25, Private, 207369, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+25, Federal-gov, 80485, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+41, State-gov, 33474, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+45, Private, 173658, Some-college, 10, Separated, Sales, Unmarried, White, Female, 0, 0, 35, United-States, <=50K.
+36, Local-gov, 202207, HS-grad, 9, Married-spouse-absent, Protective-serv, Not-in-family, White, Male, 0, 0, 69, Germany, >50K.
+36, Private, 174242, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 50, United-States, >50K.
+22, Private, 349212, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+17, ?, 54978, 7th-8th, 4, Never-married, ?, Own-child, White, Female, 0, 0, 15, United-States, <=50K.
+25, State-gov, 81993, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 46, United-States, <=50K.
+47, Private, 311395, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+18, ?, 149017, 12th, 8, Never-married, ?, Own-child, White, Male, 0, 0, 10, United-States, <=50K.
+34, Self-emp-not-inc, 156532, 7th-8th, 4, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+44, Private, 53470, Bachelors, 13, Divorced, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+27, Private, 212578, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1740, 40, United-States, <=50K.
+25, Private, 227465, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+38, Private, 423605, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, El-Salvador, <=50K.
+48, Private, 149337, Assoc-acdm, 12, Married-spouse-absent, Craft-repair, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K.
+27, State-gov, 38353, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+30, Local-gov, 325385, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+17, Private, 196252, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 16, United-States, <=50K.
+35, Private, 110538, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 55, United-States, <=50K.
+75, Private, 71385, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K.
+34, Private, 178449, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 3103, 0, 45, United-States, >50K.
+28, Federal-gov, 366533, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+38, Private, 336326, 11th, 7, Never-married, Craft-repair, Unmarried, White, Male, 1151, 0, 40, United-States, <=50K.
+23, Private, 335439, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 1741, 50, United-States, <=50K.
+40, Private, 184471, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+37, Federal-gov, 133526, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+18, Private, 618808, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+22, Private, 408385, 10th, 6, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+31, Private, 156192, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+39, Private, 126569, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K.
+40, Private, 300773, Assoc-acdm, 12, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+31, Private, 152109, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+19, Private, 260275, 11th, 7, Separated, Craft-repair, Own-child, Black, Male, 0, 0, 40, United-States, <=50K.
+17, Private, 209650, 12th, 8, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K.
+73, Private, 573446, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 15, United-States, <=50K.
+41, Private, 253189, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+37, Private, 200426, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 18, United-States, <=50K.
+24, Private, 109667, Masters, 14, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 15, United-States, <=50K.
+41, ?, 173651, Assoc-acdm, 12, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 99, United-States, <=50K.
+34, Local-gov, 432204, Assoc-acdm, 12, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 80, United-States, <=50K.
+28, Private, 252013, Some-college, 10, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 45, Japan, <=50K.
+68, ?, 461484, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 1648, 10, United-States, >50K.
+19, Private, 191889, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 25, United-States, <=50K.
+42, Private, 112507, 12th, 8, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 30, United-States, <=50K.
+36, Private, 224531, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Poland, >50K.
+24, ?, 83783, 7th-8th, 4, Never-married, ?, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K.
+46, Self-emp-not-inc, 346783, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 35, Cuba, >50K.
+48, Federal-gov, 72896, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+37, Private, 171393, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 1740, 40, United-States, <=50K.
+27, Private, 294931, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, Germany, <=50K.
+26, Private, 198986, HS-grad, 9, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K.
+19, ?, 264767, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+55, Self-emp-not-inc, 225623, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+17, ?, 48610, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 14, United-States, <=50K.
+57, Private, 113974, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+43, Private, 334991, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K.
+24, Private, 362059, 12th, 8, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 32, United-States, <=50K.
+37, Private, 389725, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 7298, 0, 40, United-States, >50K.
+25, Private, 330774, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+33, Private, 149910, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female, 0, 0, 40, United-States, <=50K.
+49, Self-emp-inc, 99401, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+22, Private, 104266, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+21, Private, 136440, Some-college, 10, Never-married, Sales, Own-child, Asian-Pac-Islander, Female, 0, 0, 15, South, <=50K.
+84, Private, 65478, HS-grad, 9, Widowed, Priv-house-serv, Not-in-family, White, Female, 0, 0, 40, England, <=50K.
+24, Private, 56121, 5th-6th, 3, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, Mexico, <=50K.
+44, Private, 143939, Some-college, 10, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+44, Private, 231853, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 1902, 40, United-States, >50K.
+20, Private, 267706, HS-grad, 9, Never-married, Sales, Unmarried, White, Female, 0, 0, 38, United-States, <=50K.
+37, Private, 328301, Some-college, 10, Never-married, Tech-support, Unmarried, White, Female, 4934, 0, 60, United-States, >50K.
+30, Private, 36340, 11th, 7, Divorced, Other-service, Unmarried, White, Female, 0, 0, 35, United-States, <=50K.
+19, Private, 112780, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+51, Private, 113045, Masters, 14, Widowed, Exec-managerial, Unmarried, White, Male, 15020, 0, 40, United-States, >50K.
+52, Private, 196504, 7th-8th, 4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+50, State-gov, 136216, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 37, United-States, <=50K.
+34, Local-gov, 158242, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 43, United-States, <=50K.
+53, Private, 180062, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+39, Private, 206888, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+40, Private, 77370, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+49, Self-emp-not-inc, 349151, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 3411, 0, 40, United-States, <=50K.
+52, Private, 113843, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 45, United-States, <=50K.
+48, State-gov, 176917, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K.
+58, ?, 226078, 11th, 7, Divorced, ?, Unmarried, Black, Female, 0, 0, 32, United-States, <=50K.
+30, Local-gov, 177828, Bachelors, 13, Separated, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+44, Private, 137304, HS-grad, 9, Widowed, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K.
+35, Private, 138441, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+46, Private, 30840, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+42, Private, 149546, Some-college, 10, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 30, United-States, <=50K.
+29, Private, 145182, HS-grad, 9, Never-married, Protective-serv, Own-child, Black, Female, 0, 0, 20, United-States, <=50K.
+25, Local-gov, 270379, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K.
+18, Self-emp-inc, 378036, 12th, 8, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 10, United-States, <=50K.
+19, Private, 118535, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+19, Private, 239057, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+80, Private, 107740, HS-grad, 9, Widowed, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K.
+61, Private, 194804, Preschool, 1, Separated, Transport-moving, Not-in-family, Black, Male, 14344, 0, 40, United-States, >50K.
+46, Self-emp-not-inc, 225065, Bachelors, 13, Separated, Other-service, Unmarried, White, Female, 0, 0, 45, Nicaragua, <=50K.
+27, Private, 165412, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 20, United-States, <=50K.
+26, Private, 211199, 10th, 6, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+50, State-gov, 172962, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+59, Private, 190748, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+38, Federal-gov, 455379, 12th, 8, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 56, United-States, >50K.
+28, Private, 112917, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, Other, Male, 0, 0, 40, Mexico, <=50K.
+34, Private, 299383, HS-grad, 9, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+36, Private, 22245, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K.
+23, Private, 49683, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 25, United-States, <=50K.
+65, Local-gov, 32846, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 2964, 0, 35, United-States, <=50K.
+35, Private, 46947, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K.
+65, Private, 165609, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 32, United-States, <=50K.
+39, Private, 226894, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, <=50K.
+35, Private, 143231, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 44, United-States, >50K.
+33, Private, 173730, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+32, Private, 259425, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+36, Private, 168747, Bachelors, 13, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+18, ?, 210652, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 15, United-States, <=50K.
+25, Private, 40915, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+32, Private, 180303, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 70, South, <=50K.
+49, Private, 182541, 10th, 6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 1485, 40, United-States, >50K.
+29, Private, 67306, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K.
+20, ?, 38032, HS-grad, 9, Never-married, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+44, Federal-gov, 257395, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K.
+29, Private, 29261, Assoc-voc, 11, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+19, Private, 205977, Some-college, 10, Married-civ-spouse, Adm-clerical, Other-relative, White, Female, 0, 0, 20, United-States, <=50K.
+22, ?, 216639, Some-college, 10, Never-married, ?, Not-in-family, White, Female, 0, 1974, 40, United-States, <=50K.
+17, Private, 134768, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+49, Private, 32184, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K.
+23, Private, 138037, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 1590, 50, United-States, <=50K.
+49, Private, 174426, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 1977, 50, United-States, >50K.
+45, Private, 50162, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+49, Federal-gov, 193998, Some-college, 10, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+47, Self-emp-not-inc, 187901, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K.
+56, Private, 82050, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 7298, 0, 40, United-States, >50K.
+18, ?, 20057, Some-college, 10, Never-married, ?, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 16, United-States, <=50K.
+35, Private, 144200, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, Other, Male, 0, 0, 25, Columbia, <=50K.
+80, Self-emp-not-inc, 29441, 7th-8th, 4, Married-spouse-absent, Farming-fishing, Unmarried, White, Male, 0, 0, 15, United-States, <=50K.
+65, Private, 195695, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+51, Private, 274502, Some-college, 10, Widowed, Other-service, Unmarried, White, Female, 0, 0, 25, United-States, <=50K.
+76, ?, 239900, HS-grad, 9, Divorced, ?, Not-in-family, White, Female, 0, 0, 3, United-States, <=50K.
+22, Private, 191954, Assoc-voc, 11, Never-married, Sales, Own-child, White, Male, 0, 0, 45, United-States, <=50K.
+33, Private, 172304, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K.
+44, Local-gov, 174575, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 40, United-States, >50K.
+20, Private, 325744, Some-college, 10, Never-married, Sales, Other-relative, White, Male, 0, 0, 40, United-States, <=50K.
+43, Private, 26252, Some-college, 10, Separated, Other-service, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 36, United-States, <=50K.
+57, Private, 176904, 11th, 7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+37, Self-emp-not-inc, 504871, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+28, Self-emp-not-inc, 141702, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K.
+30, Private, 399088, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 50, United-States, <=50K.
+32, Local-gov, 409282, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+59, Private, 532969, HS-grad, 9, Married-civ-spouse, Other-service, Other-relative, White, Male, 0, 0, 40, Nicaragua, <=50K.
+21, ?, 213366, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 38, United-States, <=50K.
+36, Private, 188888, 12th, 8, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+38, Private, 24126, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+61, Self-emp-not-inc, 151369, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 30, United-States, >50K.
+18, Private, 115759, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K.
+59, Self-emp-inc, 171355, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Male, 0, 0, 55, United-States, <=50K.
+18, Private, 310175, 12th, 8, Never-married, Other-service, Own-child, White, Female, 0, 0, 12, United-States, <=50K.
+44, Private, 216116, HS-grad, 9, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, Jamaica, <=50K.
+23, Private, 204141, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+44, Private, 212894, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Greece, <=50K.
+49, Private, 120121, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 45, United-States, >50K.
+59, Self-emp-not-inc, 190997, 10th, 6, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 36, United-States, <=50K.
+36, Private, 224566, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 99999, 0, 45, United-States, >50K.
+30, Private, 235847, Bachelors, 13, Never-married, Other-service, Own-child, White, Female, 0, 0, 24, United-States, <=50K.
+56, ?, 124319, Masters, 14, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, >50K.
+27, Private, 193807, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 1741, 40, United-States, <=50K.
+69, Self-emp-not-inc, 215926, 7th-8th, 4, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 35, United-States, <=50K.
+19, ?, 455665, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 44, United-States, <=50K.
+36, Private, 36423, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+42, Private, 32878, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 42, United-States, >50K.
+25, Private, 96862, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 2174, 0, 40, United-States, <=50K.
+17, Private, 187879, 9th, 5, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K.
+40, Local-gov, 36296, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K.
+40, Private, 75615, HS-grad, 9, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 43, United-States, <=50K.
+17, Private, 168807, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 25, United-States, <=50K.
+24, State-gov, 161783, Bachelors, 13, Never-married, Transport-moving, Not-in-family, Black, Male, 0, 0, 40, ?, <=50K.
+40, State-gov, 13492, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, Amer-Indian-Eskimo, Male, 0, 0, 84, United-States, <=50K.
+65, Private, 119769, HS-grad, 9, Widowed, Priv-house-serv, Unmarried, Black, Female, 0, 0, 20, United-States, <=50K.
+38, Private, 313914, Bachelors, 13, Separated, Farming-fishing, Unmarried, White, Female, 0, 0, 45, United-States, <=50K.
+33, Private, 172584, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 1590, 50, United-States, <=50K.
+28, Private, 112425, Bachelors, 13, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+22, Private, 157783, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 35, Vietnam, <=50K.
+34, Private, 356882, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+61, Private, 156852, Assoc-voc, 11, Widowed, Tech-support, Unmarried, White, Female, 0, 0, 8, United-States, <=50K.
+63, Self-emp-not-inc, 175177, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, >50K.
+28, Private, 425127, 9th, 5, Married-civ-spouse, Other-service, Other-relative, White, Female, 0, 0, 35, United-States, <=50K.
+30, Local-gov, 99761, Assoc-voc, 11, Divorced, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+36, Private, 272950, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K.
+43, Self-emp-not-inc, 174295, 11th, 7, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+24, Local-gov, 157678, HS-grad, 9, Married-spouse-absent, Machine-op-inspct, Unmarried, White, Female, 2036, 0, 42, United-States, <=50K.
+52, Private, 186224, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+17, Private, 142587, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 10, United-States, <=50K.
+46, Private, 131091, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+43, Self-emp-not-inc, 71269, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K.
+54, Private, 311551, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 60, United-States, <=50K.
+22, Self-emp-inc, 171041, Bachelors, 13, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+42, Self-emp-not-inc, 140915, HS-grad, 9, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 60, South, <=50K.
+46, Private, 41223, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K.
+46, Self-emp-inc, 292569, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 7298, 0, 65, United-States, >50K.
+44, Private, 132921, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K.
+59, Self-emp-inc, 177271, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 84, United-States, >50K.
+58, Self-emp-inc, 314482, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K.
+36, Private, 310531, 10th, 6, Separated, Handlers-cleaners, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K.
+29, Private, 145490, 11th, 7, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+61, Private, 181200, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 1564, 40, United-States, >50K.
+29, Private, 152951, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, Canada, >50K.
+40, Private, 85668, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+30, Private, 316606, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 2339, 50, United-States, <=50K.
+38, Private, 220694, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+24, Private, 408585, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Own-child, White, Female, 0, 0, 45, Mexico, <=50K.
+42, Federal-gov, 36699, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+50, Private, 104280, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, >50K.
+29, Private, 97254, 11th, 7, Never-married, Sales, Not-in-family, Amer-Indian-Eskimo, Male, 4101, 0, 40, United-States, <=50K.
+35, Private, 186420, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K.
+44, Private, 112482, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K.
+54, Private, 317733, Doctorate, 16, Widowed, Tech-support, Unmarried, White, Male, 0, 2472, 40, United-States, >50K.
+56, Private, 235136, 7th-8th, 4, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, Dominican-Republic, <=50K.
+29, Private, 229729, Bachelors, 13, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+66, Private, 46677, Some-college, 10, Widowed, Other-service, Unmarried, Black, Female, 0, 0, 20, United-States, <=50K.
+48, Federal-gov, 277946, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+46, Private, 263727, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K.
+32, Private, 74501, Masters, 14, Never-married, Sales, Own-child, White, Female, 0, 0, 50, United-States, <=50K.
+34, Private, 143776, Masters, 14, Never-married, Prof-specialty, Not-in-family, Black, Male, 0, 0, 45, ?, >50K.
+69, Private, 179130, HS-grad, 9, Divorced, Sales, Other-relative, White, Female, 0, 0, 38, United-States, <=50K.
+23, State-gov, 386568, Some-college, 10, Separated, Prof-specialty, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K.
+22, Private, 413110, HS-grad, 9, Never-married, Other-service, Other-relative, Black, Female, 0, 0, 15, United-States, <=50K.
+45, Private, 72618, Assoc-voc, 11, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K.
+45, Private, 102288, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+47, Self-emp-not-inc, 321851, Assoc-voc, 11, Separated, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+32, Private, 180871, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+25, Private, 124483, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 50, India, <=50K.
+43, Private, 72791, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Black, Male, 5178, 0, 40, United-States, >50K.
+47, State-gov, 263215, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 80, United-States, <=50K.
+34, Local-gov, 207668, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 41, United-States, >50K.
+30, Private, 198953, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K.
+48, Private, 38819, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 75, United-States, <=50K.
+43, Private, 107306, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 55, Canada, <=50K.
+20, Private, 161962, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 16, United-States, <=50K.
+83, Private, 192305, Some-college, 10, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 20, United-States, <=50K.
+42, Private, 449925, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, >50K.
+42, Local-gov, 131167, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K.
+30, Local-gov, 268482, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+34, State-gov, 103642, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 1651, 40, United-States, <=50K.
+43, Private, 201723, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+53, Private, 186224, Assoc-voc, 11, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K.
+39, Self-emp-not-inc, 139703, Some-college, 10, Never-married, Prof-specialty, Not-in-family, Black, Female, 0, 0, 48, United-States, >50K.
+33, Private, 397995, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+52, Private, 259323, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+18, State-gov, 427515, HS-grad, 9, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 20, United-States, <=50K.
+21, ?, 187937, Some-college, 10, Never-married, ?, Other-relative, White, Female, 0, 0, 52, United-States, <=50K.
+34, Private, 177437, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+32, Private, 162442, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K.
+48, Private, 83407, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K.
+61, ?, 265201, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 14, United-States, <=50K.
+19, Private, 109005, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K.
+55, Local-gov, 56915, HS-grad, 9, Divorced, Exec-managerial, Unmarried, Amer-Indian-Eskimo, Male, 0, 0, 8, United-States, <=50K.
+37, Private, 210830, Assoc-voc, 11, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 38, United-States, <=50K.
+24, Private, 194848, Bachelors, 13, Never-married, Tech-support, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+39, Private, 109351, Assoc-voc, 11, Separated, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+39, Private, 105813, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 3908, 0, 72, United-States, <=50K.
+32, Private, 123430, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 65, United-States, <=50K.
+44, Private, 105896, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K.
+35, Self-emp-not-inc, 135020, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, Germany, <=50K.
+27, Private, 136077, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K.
+18, Private, 151463, 11th, 7, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 20, United-States, <=50K.
+43, Private, 73333, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 2174, 0, 40, United-States, <=50K.
+51, Local-gov, 43705, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 54, United-States, >50K.
+26, Private, 320465, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+23, Private, 237811, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, Trinadad&Tobago, <=50K.
+41, State-gov, 190910, HS-grad, 9, Married-civ-spouse, Farming-fishing, Other-relative, White, Male, 0, 0, 40, United-States, <=50K.
+33, Self-emp-inc, 348326, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+41, Private, 163287, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 62, United-States, <=50K.
+31, Private, 97723, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K.
+56, State-gov, 160383, 10th, 6, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 37, United-States, <=50K.
+39, Federal-gov, 263690, Masters, 14, Married-civ-spouse, Other-service, Husband, Black, Male, 3137, 0, 40, Trinadad&Tobago, <=50K.
+42, Private, 278926, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+33, Private, 189017, 12th, 8, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+22, Private, 87546, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+23, Local-gov, 145112, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 43, United-States, <=50K.
+55, Private, 107308, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+79, Local-gov, 132668, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 15, United-States, <=50K.
+47, Private, 175600, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+51, Private, 176608, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, United-States, <=50K.
+37, Private, 217054, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+47, Local-gov, 244813, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+44, Private, 77373, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+41, Private, 135823, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+56, Private, 174864, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 45, United-States, >50K.
+45, Private, 121676, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 36, United-States, >50K.
+38, Private, 108140, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K.
+46, Private, 185041, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 50, United-States, >50K.
+47, Self-emp-inc, 144579, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 90, United-States, <=50K.
+26, Private, 143280, HS-grad, 9, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K.
+41, Private, 242804, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K.
+48, Private, 156926, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K.
+55, Self-emp-inc, 103948, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+28, Private, 249720, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+52, Private, 203635, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 65, United-States, >50K.
+31, Private, 136721, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+27, Private, 114865, HS-grad, 9, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K.
+23, Private, 166517, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+27, Private, 96219, Bachelors, 13, Never-married, Exec-managerial, Other-relative, White, Female, 0, 0, 40, United-States, <=50K.
+48, Private, 236197, 12th, 8, Widowed, Handlers-cleaners, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, Guatemala, <=50K.
+39, Private, 357118, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 1974, 40, United-States, <=50K.
+25, Private, 193787, Bachelors, 13, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 45, United-States, <=50K.
+27, Private, 607658, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+64, Local-gov, 47298, Doctorate, 16, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 45, United-States, >50K.
+55, Local-gov, 258121, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 40, United-States, >50K.
+46, Private, 411037, 10th, 6, Divorced, Sales, Unmarried, White, Female, 0, 0, 35, United-States, <=50K.
+23, Private, 228724, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K.
+28, Private, 179008, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 48, United-States, <=50K.
+37, Private, 422933, Masters, 14, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, >50K.
+27, Private, 32452, Masters, 14, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 20, United-States, >50K.
+35, Private, 54363, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K.
+35, Private, 113397, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, Japan, <=50K.
+45, Private, 159080, HS-grad, 9, Married-civ-spouse, Adm-clerical, Own-child, White, Female, 0, 0, 15, United-States, <=50K.
+59, State-gov, 354948, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 3103, 0, 40, United-States, >50K.
+31, Private, 162572, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 60, United-States, >50K.
+35, Private, 108140, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+58, Private, 126104, 10th, 6, Divorced, Other-service, Unmarried, White, Female, 0, 0, 65, United-States, <=50K.
+41, Private, 145522, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K.
+20, Private, 61777, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K.
+39, Private, 139057, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 38, India, <=50K.
+31, Private, 113129, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+27, Private, 202062, Bachelors, 13, Never-married, Prof-specialty, Own-child, Black, Male, 0, 0, 40, United-States, <=50K.
+34, Private, 31341, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+32, Private, 196125, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K.
+33, Private, 44559, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, <=50K.
+33, Self-emp-not-inc, 202153, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 2829, 0, 40, United-States, <=50K.
+35, Private, 238980, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+56, Self-emp-not-inc, 156873, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+20, Private, 32805, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+68, Self-emp-not-inc, 273088, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 10, United-States, <=50K.
+43, Self-emp-not-inc, 241055, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K.
+25, Private, 157028, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K.
+35, Local-gov, 304252, Assoc-acdm, 12, Divorced, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, Vietnam, <=50K.
+57, Private, 106910, Assoc-voc, 11, Divorced, Other-service, Other-relative, Asian-Pac-Islander, Female, 0, 0, 40, Outlying-US(Guam-USVI-etc), <=50K.
+57, Private, 127728, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 44, United-States, >50K.
+37, State-gov, 178876, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K.
+18, Private, 78181, Some-college, 10, Never-married, Other-service, Other-relative, White, Female, 0, 0, 40, United-States, <=50K.
+21, ?, 212661, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 30, United-States, <=50K.
+29, Private, 288229, HS-grad, 9, Married-civ-spouse, Tech-support, Wife, Asian-Pac-Islander, Female, 4386, 0, 45, United-States, >50K.
+24, Private, 205883, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+36, Local-gov, 268205, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 52, United-States, <=50K.
+23, Private, 113735, Some-college, 10, Divorced, Adm-clerical, Other-relative, White, Female, 0, 0, 20, United-States, <=50K.
+36, Private, 390243, HS-grad, 9, Never-married, Craft-repair, Own-child, Black, Male, 0, 0, 40, United-States, <=50K.
+52, Private, 137984, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 40, United-States, <=50K.
+41, Private, 160785, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K.
+18, Private, 86150, HS-grad, 9, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Female, 0, 0, 15, United-States, <=50K.
+32, Private, 244268, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1672, 48, United-States, <=50K.
+34, Self-emp-inc, 177828, HS-grad, 9, Divorced, Sales, Unmarried, White, Male, 0, 0, 50, United-States, >50K.
+29, Private, 337953, Bachelors, 13, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 36, United-States, <=50K.
+56, Self-emp-not-inc, 254711, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 20, United-States, <=50K.
+60, Private, 127084, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K.
+19, Private, 156618, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 1602, 20, United-States, <=50K.
+30, Private, 201697, HS-grad, 9, Separated, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K.
+50, Self-emp-not-inc, 187830, Bachelors, 13, Divorced, Craft-repair, Not-in-family, White, Male, 27828, 0, 16, United-States, >50K.
+52, Private, 240612, HS-grad, 9, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, Peru, >50K.
+66, Self-emp-not-inc, 190160, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 20, United-States, <=50K.
+28, Private, 109001, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+35, Local-gov, 297322, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, >50K.
+29, Private, 335015, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, <=50K.
+50, Private, 174964, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+34, Federal-gov, 408813, HS-grad, 9, Married-civ-spouse, Craft-repair, Wife, White, Female, 0, 0, 40, United-States, >50K.
+37, Private, 115332, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 50, United-States, <=50K.
+29, Local-gov, 170482, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 2057, 40, United-States, <=50K.
+34, Private, 113688, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 34, United-States, <=50K.
+27, Private, 133770, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 2202, 0, 52, Philippines, <=50K.
+57, Private, 161964, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+30, Private, 34572, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 80, United-States, >50K.
+21, Private, 198259, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 30, United-States, <=50K.
+73, ?, 144872, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 25, Canada, <=50K.
+57, Private, 161944, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 60, United-States, >50K.
+51, Private, 29887, Bachelors, 13, Divorced, Tech-support, Not-in-family, White, Male, 0, 1590, 40, United-States, <=50K.
+37, Federal-gov, 238980, Masters, 14, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K.
+42, Private, 275677, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+32, Private, 24529, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 5178, 0, 60, United-States, >50K.
+51, Self-emp-not-inc, 311631, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K.
+19, Private, 105460, 9th, 5, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 20, United-States, <=50K.
+24, Private, 374763, 11th, 7, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K.
+25, Private, 242136, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K.
+31, Private, 112115, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+49, Self-emp-inc, 77132, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, Canada, >50K.
+81, ?, 26711, Assoc-voc, 11, Married-civ-spouse, ?, Husband, White, Male, 2936, 0, 20, United-States, <=50K.
+60, Private, 117909, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 40, United-States, >50K.
+39, Private, 229647, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Female, 0, 1669, 40, United-States, <=50K.
+38, Private, 149347, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K.
+43, Local-gov, 23157, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 50, United-States, >50K.
+23, Private, 93977, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+73, Self-emp-inc, 159691, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K.
+35, Private, 176967, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+66, Private, 344436, HS-grad, 9, Widowed, Sales, Other-relative, White, Female, 0, 0, 8, United-States, <=50K.
+27, Private, 430340, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K.
+40, Private, 202168, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 55, United-States, >50K.
+51, Private, 82720, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+22, Private, 269623, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+64, Self-emp-not-inc, 136405, HS-grad, 9, Widowed, Farming-fishing, Not-in-family, White, Male, 0, 0, 32, United-States, <=50K.
+50, Local-gov, 139347, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, ?, >50K.
+55, Private, 224655, HS-grad, 9, Separated, Priv-house-serv, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K.
+38, Private, 247547, Assoc-voc, 11, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K.
+58, Private, 292710, Assoc-acdm, 12, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 36, United-States, <=50K.
+32, Private, 173449, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+48, Private, 285570, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+61, Private, 89686, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 48, United-States, <=50K.
+31, Private, 440129, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K.
+25, Private, 350977, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K.
+48, Local-gov, 349230, Masters, 14, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K.
+33, Private, 245211, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K.
+39, Private, 215419, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K.
+64, ?, 321403, HS-grad, 9, Widowed, ?, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K.
+38, Private, 374983, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K.
+44, Private, 83891, Bachelors, 13, Divorced, Adm-clerical, Own-child, Asian-Pac-Islander, Male, 5455, 0, 40, United-States, <=50K.
+35, Self-emp-inc, 182148, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K.
+
diff --git a/alg/dpbag/data_loading.py b/alg/dpbag/data_loading.py
new file mode 100644
index 00000000..32ce26ff
--- /dev/null
+++ b/alg/dpbag/data_loading.py
@@ -0,0 +1,155 @@
+'''
+2019 NeurIPS Submission
+Title: Differentially Private Bagging: Improved utility and cheaper privacy than subsample-and-aggregate
+Authors: James Jordon, Jinsung Yoon, Mihaela van der Schaar
+
+Last Updated Date: May 28th 2019
+Code Author: Jinsung Yoon (jsyoon0823@gmail.com)
+
+-----------------------------
+
+Data loading
+- Load two real-world data (MAGGIC and UCI Adults)
+- Transform the raw data to preprocessed data
+
+Inputs
+- Raw data
+
+Outputs
+- trainX, trainY
+- validX, validY
+- testX, testY
+'''
+
+#%% Necessary packages
+import pandas as pd
+import numpy as np
+
+#%% MAGGIC data (Label: 3-year mortality)
+
+def Data_Loading_MAGGIC():
+    
+    # Load Data from Data folder
+    File_name = 'Data/Maggic.csv'
+    Data = pd.read_csv(File_name, sep=',')
+    
+    # Remover any NA
+    Data = Data.dropna(axis=0, how='any')
+    
+    # Set label                      
+    year = 3                      
+    Time_hor = 365*year
+
+    # Exclude the patients who are censored before 3 year
+    Data = Data[(Data['days_to_fu']>Time_hor) | ((Data['days_to_fu']<=Time_hor) & (Data['death_all']==1))]
+    
+    # Label generation
+    N  = Data.shape[0]
+    Data['Label']=[0]*N
+    # Set label = 1 if the patient were dead within 3 year
+    Data.loc[((Data['days_to_fu']<=Time_hor) & (Data['death_all']==1)), 'Label'] =1   
+    
+    # Divide feature (X) and label (Y)
+    X = Data.drop(['death_all', 'days_to_fu', 'Label'], axis=1)
+    Y = Data['Label']
+            
+    # Treat X and Y as numpy array
+    X = np.asarray(X)
+    Y = np.asarray(Y)
+    
+    # Normalization with Minmax Scaler
+    for i in range(len(X[0,:])):
+        
+        X[:,i] = X[:,i] - np.min(X[:,i])
+        X[:,i] = X[:,i] / (np.max(X[:,i]) + 1e-8)
+    
+    # Divide the data into train, valid, and test set (1/3 each)
+    idx = np.random.permutation(len(Y))
+    
+    # train
+    trainX = X[idx[:int(len(Y)/3)],:]
+    trainY = Y[idx[:int(len(Y)/3)]]    
+    
+    # valid
+    validX = X[idx[int(len(Y)/3):(2*int(len(Y)/3))],:]
+    validY = Y[idx[int(len(Y)/3):(2*int(len(Y)/3))]]
+    
+    # test
+    testX = X[idx[(2*int(len(Y)/3)):],:]
+    testY = Y[idx[(2*int(len(Y)/3)):]]
+
+    # Return train, valid, and test sets
+    return trainX, trainY, validX, validY, testX, testY
+
+
+#%% UCI Adult data (Predict income >50k)
+# Reference link: https://yanhan.github.io/posts/2017-02-15-analysis-of-the-adult-data-set-from-uci-machine-learning-repository.ipynb.html
+ 
+def Data_Loading_Adult():
+  
+    # Data loading
+    Data1 = pd.read_csv('data/adult.data', header = None, delimiter = ",")
+    Data2 = pd.read_csv('data/adult.test', header = None, delimiter = ",")
+  
+    # Merge two datasets
+    df = pd.concat((Data1, Data2), axis = 0)
+  
+    # Define column names
+    df.columns = ["Age", "WorkClass", "fnlwgt", "Education", "EducationNum",
+    "MaritalStatus", "Occupation", "Relationship", "Race", "Gender",
+    "CapitalGain", "CapitalLoss", "HoursPerWeek", "NativeCountry", "Income"]
+  
+    # Index reset due to merging
+    df = df.reset_index()
+    df = df.drop("index", axis = 1)
+  
+    # Label define
+    Y = np.ones([len(df),])
+    
+    # Set >50K as 1 and <=50K as 0
+    Y[df["Income"].index[df["Income"] == " <=50K"]] = 0
+    Y[df["Income"].index[df["Income"] == " <=50K."]] = 0
+    
+    # Drop feature which can directly infer label
+    df.drop("Income", axis=1, inplace=True,)
+  
+    # Transform the type from string to float
+    df.Age = df.Age.astype(float)
+    df.fnlwgt = df.fnlwgt.astype(float)
+    df.EducationNum = df.EducationNum.astype(float)
+    df.HoursPerWeek = df.HoursPerWeek.astype(float)
+    df.CapitalGain = df.CapitalGain.astype(float)
+    df.CapitalLoss = df.CapitalLoss.astype(float)
+  
+    # One hot incoding for categorical features
+    df = pd.get_dummies(df, columns=["WorkClass", "Education", "MaritalStatus", "Occupation", "Relationship",
+    "Race", "Gender", "NativeCountry"])
+    
+    # Treat data as numpy array
+    X = np.asarray(df)
+        
+    # Normalization with Minmax Scaler
+    for i in range(len(X[0,:])):
+        
+        X[:,i] = X[:,i] - np.min(X[:,i])
+        X[:,i] = X[:,i] / (np.max(X[:,i]) + 1e-8)
+    
+    # Divide the data into train, valid, and test set (1/3 each)
+    idx = np.random.permutation(len(Y))
+    
+    # train
+    trainX = X[idx[:int(len(Y)/3)],:]
+    trainY = Y[idx[:int(len(Y)/3)]]    
+    
+    # valid
+    validX = X[idx[int(len(Y)/3):(2*int(len(Y)/3))],:]
+    validY = Y[idx[int(len(Y)/3):(2*int(len(Y)/3))]]
+    
+    # test
+    testX = X[idx[(2*int(len(Y)/3)):],:]
+    testY = Y[idx[(2*int(len(Y)/3)):]]
+
+    # Return train, valid, and test sets
+    return trainX, trainY, validX, validY, testX, testY
+  
+  
diff --git a/alg/dpbag/main.py b/alg/dpbag/main.py
new file mode 100644
index 00000000..fb06b8bb
--- /dev/null
+++ b/alg/dpbag/main.py
@@ -0,0 +1,99 @@
+'''
+2019 NeurIPS Submission
+Title: Differentially Private Bagging: Improved utility and cheaper privacy than subsample-and-aggregate
+Authors: James Jordon, Jinsung Yoon, Mihaela van der Schaar
+
+Last Updated Date: May 28th 2019
+Code Author: Jinsung Yoon (jsyoon0823@gmail.com)
+
+-----------------------------
+
+Main Function
+- Load dataset
+- Run DPBag (Our algorithm)
+- Measure the performances
+
+Inputs
+- Raw data
+- Parameters (epsilon, delta, teacher_no, part number)
+
+Outputs
+- AUROC
+- AUPRC
+- Accuracy
+- Budget
+'''
+
+#%% Necessary Packages
+import numpy as np
+from tqdm import tqdm
+import pandas as pd
+
+#%% Functions
+from DPBag_Final import DPBag
+
+# 1. Models
+from data_loading import Data_Loading_MAGGIC, Data_Loading_Adult
+
+#%% Parameters
+
+# Select dataset
+data_sets = ['maggic','adult']
+data_name = data_sets[1]
+
+# Number of iterations
+Iterations = 10
+
+# Algorithm parameters
+parameters = dict()
+
+parameters['epsilon'] = 5
+parameters['delta'] = 1e-3
+parameters['teacher_no'] = 250
+parameters['lamda'] = float(2)/parameters['teacher_no']
+parameters['part_no'] = 100
+
+#%% DPBag
+
+# Output initialization
+Output_AUC = list()
+Output_APR = list()
+Output_ACC = list()
+Output_Budget = list()
+
+# Iterate DPBag experiments
+
+for itr in tqdm(range(Iterations)):
+    
+    # Load Data
+    if data_name == 'maggic':
+        x_train, y_train, x_valid, y_valid, x_test, y_test = Data_Loading_MAGGIC()
+    elif data_name == 'adult':
+        x_train, y_train, x_valid, y_valid, x_test, y_test = Data_Loading_Adult()
+    
+    print(data_name + ' Data Loaded')
+    
+    # DPBag Algorithm
+    Temp_ACC, Temp_AUC, Temp_APR, Temp_Budget, _ = DPBag(x_train, y_train, x_valid, x_test, y_test, parameters)
+    
+    print('Finish DPBag Algorithm')
+        
+    # Gather performance metrics
+    Output_ACC.append(Temp_ACC)
+    Output_AUC.append(Temp_AUC)
+    Output_APR.append(Temp_APR)
+    Output_Budget.append(Temp_Budget)
+        
+#%% Performance Table
+        
+dict_metrics = {'Epsilon':[i+1 for i in range(len(Output_ACC[0]))],
+                'Accuracy': np.mean(Output_ACC,0),
+                'AUROC': np.mean(Output_AUC,0),
+                'AUPRC': np.mean(Output_APR,0),
+                'Budget': np.mean(Output_Budget,0)}
+
+Output_Metric = pd.DataFrame(dict_metrics)
+
+# Print Final Metric
+print(Output_Metric)
+
diff --git a/alg/dpbag/readme.txt b/alg/dpbag/readme.txt
new file mode 100644
index 00000000..6e328269
--- /dev/null
+++ b/alg/dpbag/readme.txt
@@ -0,0 +1,34 @@
+2019 NeurIPS Submission
+Title: Differentially Private Bagging: Improved utility and cheaper privacy than subsample-and-aggregate
+Authors: James Jordon, Jinsung Yoon, Mihaela van der Schaar
+
+Last Updated Date: May 28th 2019
+Code Author: Jinsung Yoon (jsyoon0823@gmail.com)
+
+1. Dataset:
+UCI Adult data
+- adult.data
+- adult.test
+
+2. Codes
+(1) data_loading.py
+- Transform raw data to preprocessed data (train, test, valid sets)
+
+(2) DPBag_Final.py
+- Core Differentially Private Bagging algorithm
+- Use train and valid sets with user-defined parameters (n, k, epsilon, delta) 
+  to make Differentially private classification model  
+- Use testset to evaluate the performance of Differentially private classification model
+
+(3) main.py
+- Replicate the performances of Table 1 and 2 in the paper
+- Report Accuracy, AUROC, AUPRC, and Privacy Budget for each dataset and each differential privacy inputs
+
+3. How to use?
+(1) In order to replicate the results in the paper
+- Run main.py with user-defined parameters (n, k, epsilon, delta)
+
+(2) In order to achieve Differentially private classification model (Main objective of the paper)
+- Use DPBag_Final.py
+- Input train set and valid set with user-defined parameters (n, k, epsilon, delta) 
+  to achieve Differentially private classification model (Last output)
diff --git a/alg/dynamic_disease_network_ddp/LICENSE b/alg/dynamic_disease_network_ddp/LICENSE
new file mode 100644
index 00000000..ecef0dc9
--- /dev/null
+++ b/alg/dynamic_disease_network_ddp/LICENSE
@@ -0,0 +1,9 @@
+The MIT License (MIT)
+
+Copyright © 2020 Zhaozhi Qian
+
+Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
diff --git a/alg/dynamic_disease_network_ddp/README.md b/alg/dynamic_disease_network_ddp/README.md
new file mode 100644
index 00000000..c9e04d23
--- /dev/null
+++ b/alg/dynamic_disease_network_ddp/README.md
@@ -0,0 +1,39 @@
+# Learning Dynamic and Personalized Comorbidity Networks
+
+Implementation of *Learning Dynamic and Personalized Comorbidity Networks from Event Data using Deep Diffusion Processes* (AISTATS2020) in Python runnable both on CPU and GPU.
+
+## Reference
+
+If you use this code as part of any published research, please acknowledge the following paper:
+```
+@article{qian2020learning,
+  title={Learning Dynamic and Personalized Comorbidity Networks from Event Data using Deep Diffusion Processes},
+  author={Qian, Zhaozhi and Alaa, Ahmed M and Bellot, Alexis and Rashbass, Jem and van der Schaar, Mihaela},
+  journal={arXiv preprint arXiv:2001.02585},
+  year={2020}
+}
+```
+## Running the Code
+
+### Dependency
+
+The minimum dependency requirements are specified in `requirements.txt`. 
+
+You will need an installation of PyTorch (>=1.3) in addition to the standard data science python packages.
+We highly recommend using the conda distributions.
+
+### Project Structure
+
+The model itself is implemented in `models.py`. 
+The utility functions related to data ingestion and manipulation are implemented in `data_loader.py`. 
+`simulation.py` is the entry point to the simulation. To run the simulation, run
+```
+python simulation.py
+```
+
+The simulated data set is generated using [neurawkes](https://github.com/HMEIatJHU/neurawkes) and is located in folder `data`.
+The simulation output is a figure `sim_result.png`. It reproduces the simulation study in the appendix (figure 9). 
+
+## License
+
+This project is licensed under the MIT License.
diff --git a/alg/dynamic_disease_network_ddp/data/model_test_ev50_big.pkl b/alg/dynamic_disease_network_ddp/data/model_test_ev50_big.pkl
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HcmV?d00001

diff --git a/alg/dynamic_disease_network_ddp/data_loader.py b/alg/dynamic_disease_network_ddp/data_loader.py
new file mode 100644
index 00000000..904d3bf9
--- /dev/null
+++ b/alg/dynamic_disease_network_ddp/data_loader.py
@@ -0,0 +1,188 @@
+"""
+The data loader is partially adapted from https://github.com/HMEIatJHU/neurawkes
+"""
+
+import numpy as np
+import torch
+import random
+import pickle
+
+
+def get_fold(dat_dict, fold=5, seed=666):
+    dat_list = dat_dict['train']
+    dim_process = dat_dict['dim_process']
+    max_len = dat_dict['max_len']
+    random.seed(seed)
+    total_samples = len(dat_list)
+    eids = list(range(total_samples))
+    eid_set = set(eids)
+    random.shuffle(eids)
+
+    fold_list = list()
+    for i in range(fold):
+        eid_test = eids[i::fold]
+        dat_test_fold = [dat_list[k] for k in eid_test]
+
+        eid_remain = list(eid_set - set(eid_test))
+        eid_val = eid_remain[::10]
+        dat_val_fold = [dat_list[k] for k in eid_val]
+        eid_train = list(set(eid_remain) - set(eid_val))
+
+        dat_train_fold = [dat_list[k] for k in eid_train]
+        fold_dict = {'train': dat_train_fold, 'dev': dat_val_fold, 'test': dat_test_fold,
+                     'dim_process': dim_process, 'max_len': max_len}
+        fold_list.append(fold_dict)
+
+    return fold_list
+
+
+def process_seq(data, list_idx_data, max_len, n_event_type, tag_batch='train', dtype=np.float32):
+    size_batch = len(list_idx_data)
+
+    # initialize everything with zeros
+    seq_time_to_end_np = np.zeros(
+        (max_len, size_batch), dtype=dtype
+    )
+    seq_time_to_current_np = np.zeros(
+        (max_len, max_len, size_batch), dtype=dtype
+    )
+    seq_type_event_np = np.zeros(
+        (max_len, size_batch), dtype=np.int64
+    )
+    time_since_start_to_end_np = np.zeros(
+        (size_batch,), dtype=dtype
+    )
+    seq_mask_np = np.zeros(
+        (max_len, size_batch), dtype=dtype
+    )
+    seq_mask_to_current_np = np.zeros(
+        (max_len, max_len, size_batch), dtype=dtype
+    )
+    num_events_start_to_end_np = np.zeros(
+        (size_batch,), dtype=dtype
+    )
+    event_time_to_end_np = np.zeros((n_event_type, size_batch), dtype=dtype)
+    intensity_mask_np = np.ones((n_event_type, max_len, size_batch), dtype=dtype)
+    # loop and config data
+    for idx_in_batch, idx_data in enumerate(list_idx_data):
+        seq = data[tag_batch][idx_data]
+        if len(seq) > 0:
+            time_end = seq[-1]['time_since_start']
+            time_since_start_to_end_np[
+                idx_in_batch
+            ] = time_end
+            num_events_start_to_end_np[
+                idx_in_batch
+            ] = np.float32(len(seq))
+        else:
+            time_end = np.float32(0.0)
+            time_since_start_to_end_np[
+                idx_in_batch
+            ] = time_end
+            num_events_start_to_end_np[
+                idx_in_batch
+            ] = np.float32(1)
+        for idx_pos, item_event in enumerate(seq):
+            t_i = item_event['time_since_start']
+            seq_time_to_end_np[
+                idx_pos, idx_in_batch
+            ] = time_end - t_i
+            event_time_to_end_np[
+                item_event['type_event'], idx_in_batch
+            ] = time_end - t_i
+            seq_type_event_np[
+                idx_pos, idx_in_batch
+            ] = item_event['type_event']
+            seq_mask_np[
+                idx_pos, idx_in_batch
+            ] = np.float32(1.0)
+            intensity_mask_np[
+            item_event['type_event'], idx_pos:, idx_in_batch
+            ] = np.float32(0.0)
+
+            idx_pos_prime = 0
+            while idx_pos_prime < idx_pos:
+                item_event_prime = seq[idx_pos_prime]
+                t_i_prime = item_event_prime[
+                    'time_since_start'
+                ]
+                seq_time_to_current_np[
+                    idx_pos, idx_pos_prime, idx_in_batch
+                ] = t_i - t_i_prime
+                seq_mask_to_current_np[
+                    idx_pos, idx_pos_prime, idx_in_batch
+                ] = np.float32(1.0)
+                idx_pos_prime += 1
+
+    return seq_time_to_end_np, seq_time_to_current_np, seq_type_event_np, time_since_start_to_end_np, seq_mask_np, \
+           seq_mask_to_current_np, intensity_mask_np, event_time_to_end_np
+
+
+def get_train_test_split(proportion_train, batch_input):
+    n_record = batch_input[0].shape[1]
+    train_idx = np.random.uniform(0, 1, n_record) <= proportion_train
+    train_batch = map(lambda x: x[..., train_idx], batch_input)
+    test_batch = map(lambda x: x[..., np.logical_not(train_idx)], batch_input)
+
+    return list(train_batch), list(test_batch)
+
+
+def get_mini_batch(batch_size, batch_input):
+    n_record = batch_input[0].shape[1]
+    idx = np.random.choice(list(range(n_record)), size=batch_size, replace=False)
+    mini_batch = map(lambda x: torch.tensor(x[..., idx]), batch_input)
+    return list(mini_batch)
+
+
+def get_whole_batch(batch_input):
+    n_record = batch_input[0].shape[1]
+    idx = list(range(n_record))
+    mini_batch = map(lambda x: torch.tensor(x[..., idx]), batch_input)
+    return list(mini_batch)
+
+
+def get_partition_batch(n_partition, batch_input):
+    n_record = batch_input[0].shape[1]
+    idx = list(range(n_record))
+    random.shuffle(idx)
+    idx_list = [idx[i::n_partition] for i in range(n_partition)]
+    res_list = []
+    for id in idx_list:
+        batch = list(map(lambda x: torch.tensor(x[..., id]), batch_input))
+        res_list.append(batch)
+    return res_list
+
+
+def get_partition_fixed_batch(batch_size, batch_input):
+    n_record = batch_input[0].shape[1]
+    n_partition = n_record // batch_size
+    idx = list(range(n_record))
+    random.shuffle(idx)
+    idx_list = [idx[i * batch_size:(i + 1) * batch_size] for i in range(n_partition)]
+    res_list = []
+    for id in idx_list:
+        batch = list(map(lambda x: torch.tensor(x[..., id]), batch_input))
+        res_list.append(batch)
+    return res_list
+
+
+def get_data(data_path):
+    tag_list = ['train', 'dev', 'test']
+    data_dict = {}
+
+    with open(data_path, 'rb') as f:
+        data_temp = pickle.load(f)
+
+    dim_process = data_temp['dim_process']
+    max_len = data_temp['max_len']
+
+    for tag in tag_list:
+        first_occurrence_only = False
+
+        data = process_seq(data_temp, range(len(data_temp[tag])), max_len, dim_process, tag_batch=tag,
+                           dtype=np.float32)
+        context_mat = np.zeros((1, data[1].shape[2]), dtype=np.float32)
+        data = list(data)
+        data.append(context_mat)
+        data_dict[tag] = data
+    return data_dict, max_len, dim_process
diff --git a/alg/dynamic_disease_network_ddp/models.py b/alg/dynamic_disease_network_ddp/models.py
new file mode 100644
index 00000000..9dce6233
--- /dev/null
+++ b/alg/dynamic_disease_network_ddp/models.py
@@ -0,0 +1,665 @@
+import numpy as np
+import torch
+from torch import nn
+import torch.nn.functional as F
+
+
+def max_likelihood_one_step(likelihood, opt):
+    loss = -1.0 * likelihood
+    loss.backward()
+    opt.step()
+    opt.zero_grad()
+
+
+def cross_ent_one_step(ent_loss, opt):
+    ent_loss.backward()
+    opt.step()
+    opt.zero_grad()
+
+
+class MvtHawkes(torch.nn.Module):
+    """
+    Multivariate Hawkes Process
+    """
+
+    def __init__(self, n_event_type, first_occurrence_only=False, mu_vec_np=None, alpha_mat_np=None,
+                 lambda_mat_np=None):
+        super().__init__()
+        self.n_event_type = n_event_type
+        self.dtype = torch.float32
+        self.first_occurrence_only = first_occurrence_only
+
+        self.mu_vec = None
+        self.alpha_mat = None
+        self.lambda_mat = None
+        self._initialize_parameters(mu_vec_np, alpha_mat_np, lambda_mat_np)
+
+        # data
+        self.seq_time_to_end = None
+        self.seq_time_to_current = None
+        self.seq_type_event = None
+        self.time_since_start_to_end = None
+        self.seq_mask = None
+        self.seq_mask_to_current = None
+        self.intensity_mask = None
+        self.event_time_to_end = None
+
+        # temp results
+        self.alpha_over_seq = None
+        self.lambda_over_seq = None
+        self.integral_varying = None
+        self.integral_constant = None
+        self.sum_log_activation = None
+
+        # loss and eval metrics
+        self.cross_ent_loss_seq = None
+        self.likelihood_seq = None
+
+    def set_input(self,
+                  seq_time_to_end,
+                  seq_time_to_current,
+                  seq_type_event,
+                  time_since_start_to_end,
+                  seq_mask,
+                  seq_mask_to_current,
+                  intensity_mask=None,
+                  event_time_to_end=None,
+                  static_context=None):
+        assert static_context is not None
+        self.seq_time_to_end = seq_time_to_end
+        self.seq_time_to_current = seq_time_to_current
+        self.seq_type_event = seq_type_event
+        self.time_since_start_to_end = time_since_start_to_end
+        self.seq_mask = seq_mask
+        self.seq_mask_to_current = seq_mask_to_current
+        if self.first_occurrence_only:
+            self.intensity_mask = intensity_mask
+            self.event_time_to_end = event_time_to_end
+        else:
+            self.intensity_mask = None
+            self.event_time_to_end = None
+
+    def _initialize_parameters(self, mu_vec_np=None, alpha_mat_np=None, lambda_mat_np=None):
+        if mu_vec_np is None:
+            mu_vec_np = np.random.uniform(0, 1, self.n_event_type)
+        if alpha_mat_np is None:
+            alpha_mat_np = np.random.uniform(0, 1, (self.n_event_type, self.n_event_type))
+        if lambda_mat_np is None:
+            lambda_mat_np = np.random.uniform(0, 1, (self.n_event_type, self.n_event_type))
+
+        def _map_np_to_torch_parameter(np_array):
+            return nn.Parameter(torch.tensor(np_array, dtype=self.dtype, requires_grad=True))
+
+        self.mu_vec, self.alpha_mat, self.lambda_mat = map(
+            _map_np_to_torch_parameter, (mu_vec_np, alpha_mat_np, lambda_mat_np)
+        )
+
+    def _update_alpha_lambda_over_seq(self):
+        seq_type_event = self.seq_type_event
+        intensity_mask = self.intensity_mask
+
+        if intensity_mask is None:
+            self.alpha_over_seq = torch.exp(self.alpha_mat[:, seq_type_event])
+            self.lambda_over_seq = torch.exp(self.lambda_mat[:, seq_type_event])
+        else:
+            self.alpha_over_seq = torch.exp(self.alpha_mat[:, seq_type_event]) * intensity_mask
+            self.lambda_over_seq = torch.exp(self.lambda_mat[:, seq_type_event]) * intensity_mask
+
+    def reg_alpha_mat_l1(self, strength=1.0):
+        return torch.sum(torch.exp(self.alpha_mat)) * strength
+
+    def _update_integral_varying(self):
+        seq_time_to_end = self.seq_time_to_end
+        seq_mask = self.seq_mask
+        intensity_mask = self.intensity_mask
+        event_time_to_end = self.event_time_to_end
+
+        if event_time_to_end is None:
+            # K, T, Batch
+            time_integral = seq_time_to_end[None, :, :]
+        else:
+            time_integral = (seq_time_to_end[None, :, :] - event_time_to_end[:, None, :]) * intensity_mask
+
+        term_3 = torch.sum(
+            torch.sum(
+                (
+                        (
+                                np.float32(1.0) - torch.exp(-self.lambda_over_seq * time_integral)
+                        ) * self.alpha_over_seq
+                ),
+                dim=0
+            ) * seq_mask,
+            dim=0
+        )
+        self.integral_varying = term_3
+
+    def _update_integral_constant(self):
+        time_since_start_to_end = self.time_since_start_to_end
+        event_time_to_end = self.event_time_to_end
+
+        if event_time_to_end is None:
+            term_2 = torch.sum(torch.exp(self.mu_vec)) * time_since_start_to_end
+        else:
+            term_2 = torch.sum(torch.exp(self.mu_vec)[:, None] * (time_since_start_to_end[None, :] - event_time_to_end))
+        self.integral_constant = term_2
+
+    def _get_constant_term(self):
+        if self.mu_vec.dim() == 1:
+            const_term = torch.exp(self.mu_vec)[:, None, None]
+        else:
+            raise ValueError('Dimension of mu_vec is not 1.')
+        return const_term
+
+    def get_prediction(self):
+        seq_mask_to_current = self.seq_mask_to_current
+        seq_time_to_current = self.seq_time_to_current
+
+        assert not self.first_occurrence_only
+
+        self._update_alpha_lambda_over_seq()
+        lambda_over_seq = self._get_constant_term() + torch.sum(
+            (
+                    seq_mask_to_current[None, :, :, :]
+                    * (
+                            self.alpha_over_seq[:, None, :, :] * self.lambda_over_seq[:, None, :, :] * torch.exp(
+                        -self.lambda_over_seq[:, None, :, :] * seq_time_to_current[None, :, :, :]
+                    )
+                    )
+            )
+            , dim=2
+        )
+        total_lambda_over_seq = torch.sum(lambda_over_seq, dim=0)
+        lambda_ratio_over_seq = lambda_over_seq / total_lambda_over_seq
+        return lambda_ratio_over_seq
+
+    def next_event_time(self, n_sims):
+        time_diffs = torch.empty(n_sims, dtype=self.seq_time_to_current.dtype, device=self.seq_time_to_current.device)
+        nn.init.uniform_(time_diffs, 0., 5.)
+        time_diffs, _ = torch.sort(time_diffs)
+
+        seq_time_to_current = self.seq_time_to_current[-1, :, :]
+        # T x batch x M
+        seq_time_to_current = seq_time_to_current[None, :, :, None] + time_diffs[None, None, None, :]
+
+        self._update_alpha_lambda_over_seq()
+        # n_event_type x batch x M
+        lambda_over_seq = self._get_constant_term() + torch.sum(
+            (
+                    self.alpha_over_seq[:, :, :, None] * self.lambda_over_seq[:, :, :, None] * torch.exp(
+                -self.lambda_over_seq[:, :, :, None] * seq_time_to_current
+            )
+            )
+            , dim=1  # sum over t
+        )
+
+        # size_batch * M: lambda_sum_each_step
+        lambda_sum_each_step = torch.sum(lambda_over_seq, dim=0)
+
+        cum_num = torch.arange(time_diffs.shape[0] + 1, device=lambda_over_seq.device)[1:] * 1.0
+
+        # M
+        term_2 = torch.exp(
+            (-1.0 * torch.cumsum(lambda_sum_each_step, dim=1) / cum_num[None, :]) * time_diffs[None, :]
+        )
+
+        # size_batch * M
+        term_3 = lambda_sum_each_step
+        density = term_2 * term_3 + 1E-9
+        # size_batch * M
+        # time_prediction_each_step = torch.mean(
+        #     term_1[None, :] * density, dim=1
+        # ) * time_diffs[-1]
+
+        # size_batch
+        pred_time = torch.sum(time_diffs[None, :] * density, dim=1) / (torch.sum(density, dim=1))
+
+        # T x B
+        seq_time_to_current = self.seq_time_to_current[-1, :, :] + pred_time[None, :]
+
+        # Evt x B
+        lambda_next_event = self._get_constant_term()[:, :, 0] + torch.sum(
+            (
+                    self.alpha_over_seq * self.lambda_over_seq * torch.exp(
+                -self.lambda_over_seq * seq_time_to_current[None, :, :])
+            )
+            , dim=1  # sum over t
+        )
+
+        total_lambda_over_seq = torch.sum(lambda_next_event, dim=0) + 1E-9
+        pred_score = lambda_next_event / total_lambda_over_seq
+        _, pred_event = torch.max(pred_score, dim=0)
+        pred_time = pred_time + self.time_since_start_to_end
+        return pred_time, pred_event, pred_score  # , lambda_over_seq, density, time_diffs
+
+    def update_state_given_event(self, pred_time, pred_event):
+        # B; Evt x B
+
+        time_delta = pred_time - self.time_since_start_to_end
+        # T + 1 x B
+        self.seq_time_to_end = nn.functional.pad(self.seq_time_to_end + time_delta[None, :], (0, 0, 0, 1))
+
+        # T + 1 x T + 1 x B
+        self.seq_time_to_current = nn.functional.pad(self.seq_time_to_current, (0, 0, 0, 1, 0, 1))
+        self.seq_time_to_current[-1, :, :] = self.seq_time_to_end - self.seq_time_to_end[-1, :]
+
+        # T + 1 x B
+        self.seq_type_event = torch.cat([self.seq_type_event, pred_event[None, :]], dim=0)
+
+        # B
+        self.time_since_start_to_end = pred_time
+
+        # T + 1 x B
+        self.seq_mask = nn.functional.pad(self.seq_mask, (0, 0, 0, 1), value=1.)
+
+        # T + 1 x T + 1 x B
+        self.seq_mask_to_current = nn.functional.pad(self.seq_mask_to_current, (0, 0, 0, 1, 0, 1), value=1.)
+        self.seq_mask_to_current[:, -1, :] = 0.
+
+    def get_prediction_cross_ent_loss(self):
+        seq_type_event = self.seq_type_event
+        seq_mask = self.seq_mask
+
+        pred = self.get_prediction()
+        mvt_pred_log = torch.log(pred).permute((2, 0, 1))
+        loss_target = seq_type_event.permute((1, 0))
+        nll_loss = torch.nn.functional.nll_loss(mvt_pred_log, loss_target, reduction='none').permute((1, 0))
+        self.cross_ent_loss_seq = torch.sum(nll_loss * seq_mask, dim=0)
+        sum_loss = torch.sum(self.cross_ent_loss_seq)
+        return sum_loss
+
+    def get_prediction_cross_ent_loss_ignore_first(self):
+        seq_type_event = self.seq_type_event
+        seq_mask = self.seq_mask
+        seq_mask[0, :] = 0
+
+        pred = self.get_prediction()
+        mvt_pred_log = torch.log(pred).permute((2, 0, 1))
+        loss_target = seq_type_event.permute((1, 0))
+        nll_loss = torch.nn.functional.nll_loss(mvt_pred_log, loss_target, reduction='none').permute((1, 0))
+        self.cross_ent_loss_seq = torch.sum(nll_loss * seq_mask, dim=0)
+        sum_loss = torch.sum(self.cross_ent_loss_seq)
+        return sum_loss
+
+    def _update_sum_log_activation(self):
+        seq_mask_to_current = self.seq_mask_to_current
+        seq_time_to_current = self.seq_time_to_current
+        seq_type_event = self.seq_type_event
+        seq_mask = self.seq_mask
+
+        lambda_over_seq = self._get_constant_term() + torch.sum(
+            (
+                    seq_mask_to_current[None, :, :, :]
+                    * (
+                            self.alpha_over_seq[:, None, :, :] * self.lambda_over_seq[:, None, :, :] * torch.exp(
+                        -self.lambda_over_seq[:, None, :, :] * seq_time_to_current[None, :, :, :]
+                    )
+                    )
+            )
+            , dim=2
+        )
+
+        new_shape_0 = lambda_over_seq.shape[1] * lambda_over_seq.shape[2]
+        new_shape_1 = lambda_over_seq.shape[0]
+        back_shape_0 = lambda_over_seq.shape[1]
+        back_shape_1 = lambda_over_seq.shape[2]
+
+        lambda_target_over_seq = lambda_over_seq.permute(
+            (1, 2, 0)
+        ).reshape(
+            (
+                new_shape_0, new_shape_1
+            )
+        )[
+            np.arange(new_shape_0),
+            seq_type_event.flatten()
+        ].reshape(
+            (back_shape_0, back_shape_1)
+        )
+
+        log_lambda_target_over_seq = torch.log(lambda_target_over_seq * 100.0 + 1e-9) - torch.log(torch.tensor(100.0))
+        log_lambda_target_over_seq *= seq_mask
+
+        term_1 = torch.sum(log_lambda_target_over_seq, dim=0)
+        self.sum_log_activation = term_1
+
+    def get_likelihood_seq(self):
+
+        self._update_alpha_lambda_over_seq()
+        self._update_integral_constant()
+        self._update_integral_varying()
+        self._update_sum_log_activation()
+        likelihood_seq = self.sum_log_activation - self.integral_constant - self.integral_varying
+        self.likelihood_seq = likelihood_seq
+        return likelihood_seq
+
+    def forward(self):
+        likelihood_seq = self.get_likelihood_seq()
+        likelihood = torch.sum(likelihood_seq)
+        return likelihood
+
+
+class CHawkes(MvtHawkes):
+    """
+    Contextual Hawkes Process
+    """
+    def __init__(self, n_event_type, n_context_dim, first_occurrence_only=False, mu_vec_np=None, alpha_mat_np=None,
+                 lambda_mat_np=None):
+        super().__init__(n_event_type, first_occurrence_only, mu_vec_np, alpha_mat_np, lambda_mat_np)
+        self.lin = nn.Linear(n_context_dim, n_event_type)
+        self.static_context = None
+
+    def set_input(self,
+                  seq_time_to_end,
+                  seq_time_to_current,
+                  seq_type_event,
+                  time_since_start_to_end,
+                  seq_mask,
+                  seq_mask_to_current,
+                  intensity_mask=None,
+                  event_time_to_end=None,
+                  static_context=None):
+        assert static_context is not None
+        self.seq_time_to_end = seq_time_to_end
+        self.seq_time_to_current = seq_time_to_current
+        self.seq_type_event = seq_type_event
+        self.time_since_start_to_end = time_since_start_to_end
+        self.seq_mask = seq_mask
+        self.seq_mask_to_current = seq_mask_to_current
+        self.static_context = static_context
+        if self.first_occurrence_only:
+            self.intensity_mask = intensity_mask
+            self.event_time_to_end = event_time_to_end
+        else:
+            self.intensity_mask = None
+            self.event_time_to_end = None
+        self._update_mu()
+
+    def _initialize_parameters(self, mu_vec_np=None, alpha_mat_np=None, lambda_mat_np=None):
+        if alpha_mat_np is None:
+            alpha_mat_np = np.random.uniform(0, 1, (self.n_event_type, self.n_event_type))
+        if lambda_mat_np is None:
+            lambda_mat_np = np.random.uniform(0, 1, (self.n_event_type, self.n_event_type))
+
+        def _map_np_to_torch_parameter(np_array):
+            return nn.Parameter(torch.tensor(np_array, dtype=self.dtype, requires_grad=True))
+
+        self.alpha_mat, self.lambda_mat = map(
+            _map_np_to_torch_parameter, (alpha_mat_np, lambda_mat_np)
+        )
+
+    def _update_mu(self):
+        """
+        Update the context-dependent mu vector
+        :param static_context: the context tensor (n_context_dim, batch_size)
+        :return: None
+        """
+        static_context = self.static_context
+        # input to lin: batch_size * n_context_dim
+        # mu_vec: n_event_type * batch_size
+        self.mu_vec = torch.exp(self.lin(static_context.t())).t()
+
+    def _update_integral_constant(self):
+        time_since_start_to_end = self.time_since_start_to_end
+        event_time_to_end = self.event_time_to_end
+
+        if event_time_to_end is None:
+            term_2 = torch.sum(self.mu_vec, dim=0) * time_since_start_to_end
+        else:
+            term_2 = torch.sum(self.mu_vec * (time_since_start_to_end[None, :] - event_time_to_end))
+
+        self.integral_constant = term_2
+
+    def _get_constant_term(self):
+        if self.mu_vec.dim() == 2:
+            # K x T x Batch_size
+            const_term = self.mu_vec[:, None, :]
+        else:
+            raise ValueError('Dimension of mu_vec is not 2.')
+        return const_term
+
+
+class GraphHawkes(CHawkes):
+    def __init__(self, n_event_type, n_context_dim, first_occurrence_only=False, mu_vec_np=None, alpha_mat_np=None,
+                 lambda_mat_np=None, embedding_size=10, rnn_hidden_size=10):
+        super().__init__(n_event_type, n_context_dim, first_occurrence_only, mu_vec_np, alpha_mat_np, lambda_mat_np)
+        self.embeding = nn.Embedding(n_event_type, embedding_size)
+        self.rnn = nn.LSTM(embedding_size, rnn_hidden_size)
+        self.rnn_lin = nn.Linear(rnn_hidden_size, 1)
+        self.graph_weights_to_current = None
+        self.graph_weights_seq = None
+
+    def set_input(self,
+                  seq_time_to_end,
+                  seq_time_to_current,
+                  seq_type_event,
+                  time_since_start_to_end,
+                  seq_mask,
+                  seq_mask_to_current,
+                  intensity_mask=None,
+                  event_time_to_end=None,
+                  static_context=None):
+        super().set_input(
+            seq_time_to_end,
+            seq_time_to_current,
+            seq_type_event,
+            time_since_start_to_end,
+            seq_mask,
+            seq_mask_to_current,
+            intensity_mask,
+            event_time_to_end,
+            static_context)
+        self._update_graph_weights()
+
+    def _update_graph_weights(self):
+        seq_type_event = self.seq_type_event
+        seq_mask_to_current = self.seq_mask_to_current
+
+        # n_event_type: T * batch_size
+        # event_embedding: T * batch_size * K
+        event_embedding = self.embeding(seq_type_event)
+        # rnn_output: T * batch_size * rnn_hidden_size
+        rnn_output, _ = self.rnn(event_embedding)
+        # graph_weights: T * batch_size
+        # activation function
+        graph_weights = torch.sigmoid(self.rnn_lin(rnn_output)).reshape(rnn_output.shape[:2])
+        self.graph_weights_seq = graph_weights
+        self.graph_weights_to_current = graph_weights[None, :, :] * seq_mask_to_current
+
+    def reg_graph_weights_l1(self, strength=1.0):
+        return torch.sum(self.graph_weights_seq) * strength
+
+    def _update_sum_log_activation(self):
+        seq_mask_to_current = self.seq_mask_to_current
+        seq_time_to_current = self.seq_time_to_current
+        seq_type_event = self.seq_type_event
+        seq_mask = self.seq_mask
+
+        lambda_over_seq = self._get_constant_term() + torch.sum(
+            (
+                    seq_mask_to_current[None, :, :, :]
+                    * (
+                            self.alpha_over_seq[:, None, :, :] * self.graph_weights_to_current[None, :, :,
+                                                                 :] * self.lambda_over_seq[:, None, :, :] * torch.exp(
+                        -self.lambda_over_seq[:, None, :, :] * seq_time_to_current[None, :, :, :]
+                    )
+                    )
+            )
+            , dim=2
+        )
+
+        new_shape_0 = lambda_over_seq.shape[1] * lambda_over_seq.shape[2]
+        new_shape_1 = lambda_over_seq.shape[0]
+        back_shape_0 = lambda_over_seq.shape[1]
+        back_shape_1 = lambda_over_seq.shape[2]
+
+        lambda_target_over_seq = lambda_over_seq.permute(
+            (1, 2, 0)
+        ).reshape(
+            (
+                new_shape_0, new_shape_1
+            )
+        )[
+            np.arange(new_shape_0),
+            seq_type_event.flatten()
+        ].reshape(
+            (back_shape_0, back_shape_1)
+        )
+
+        log_lambda_target_over_seq = torch.log(lambda_target_over_seq * 100.0 + 1e-9) - torch.log(torch.tensor(100.0))
+        log_lambda_target_over_seq *= seq_mask
+
+        term_1 = torch.sum(log_lambda_target_over_seq, dim=0)
+        self.sum_log_activation = term_1
+
+    def _update_integral_varying(self):
+        seq_time_to_end = self.seq_time_to_end
+        seq_mask = self.seq_mask
+        intensity_mask = self.intensity_mask
+        event_time_to_end = self.event_time_to_end
+
+        if event_time_to_end is None:
+            # K, T, Batch
+            time_integral = seq_time_to_end[None, :, :]
+        else:
+            time_integral = (seq_time_to_end[None, :, :] - event_time_to_end[:, None, :]) * intensity_mask
+
+        term_3 = torch.sum(
+            torch.sum(
+                (
+                        (
+                                np.float32(1.0) - torch.exp(-self.lambda_over_seq * time_integral)
+                        ) * self.alpha_over_seq * self.graph_weights_seq[None, :, :]
+                ),
+                dim=0
+            ) * seq_mask,
+            dim=0
+        )
+        self.integral_varying = term_3
+
+    def get_prediction(self):
+        seq_mask_to_current = self.seq_mask_to_current
+        seq_time_to_current = self.seq_time_to_current
+        seq_type_event = self.seq_type_event
+        seq_mask = self.seq_mask
+
+        assert not self.first_occurrence_only
+        self._update_alpha_lambda_over_seq()
+        lambda_over_seq = self._get_constant_term() + torch.sum(
+            (
+                    seq_mask_to_current[None, :, :, :]
+                    * (
+                            self.alpha_over_seq[:, None, :, :] * self.graph_weights_to_current[None, :, :,
+                                                                 :] * self.lambda_over_seq[:, None, :, :] * torch.exp(
+                        -self.lambda_over_seq[:, None, :, :] * seq_time_to_current[None, :, :, :]
+                    )
+                    )
+            )
+            , dim=2
+        )  # * seq_mask
+        total_lambda_over_seq = torch.sum(lambda_over_seq, dim=0)
+        lambda_ratio_over_seq = lambda_over_seq / total_lambda_over_seq
+        return lambda_ratio_over_seq
+
+    def next_event_time(self, n_sims):
+        time_diffs = torch.empty(n_sims, dtype=self.seq_time_to_current.dtype, device=self.seq_time_to_current.device)
+        nn.init.uniform_(time_diffs, 0., 5.)
+        time_diffs, _ = torch.sort(time_diffs)
+
+        seq_time_to_current = self.seq_time_to_current[-1, :, :]
+        # T x batch x M
+        seq_time_to_current = seq_time_to_current[None, :, :, None] + time_diffs[None, None, None, :]
+
+        self._update_alpha_lambda_over_seq()
+
+        xbb = (self.alpha_over_seq[:, :, :, None] * self.graph_weights_seq[None, :, :, None] * self.lambda_over_seq[:,
+                                                                                               :, :, None]) * torch.exp(
+            -self.lambda_over_seq[:, :, :, None] * seq_time_to_current
+        )
+        # Evt x Batch_size
+        const = self._get_constant_term()[:, 0, :]
+
+        lambda_over_seq = const[:, :, None] + torch.sum(xbb, dim=1)
+
+        # size_batch * M: lambda_sum_each_step
+        lambda_sum_each_step = torch.sum(lambda_over_seq, dim=0)
+
+        cum_num = torch.arange(time_diffs.shape[0] + 1, device=lambda_over_seq.device)[1:] * 1.0
+
+        # M
+        term_2 = torch.exp(
+            (-1.0 * torch.cumsum(lambda_sum_each_step, dim=1) / cum_num[None, :]) * time_diffs[None, :]
+        )
+
+        # size_batch * M
+        term_3 = lambda_sum_each_step
+        density = term_2 * term_3 + 1E-9
+        # size_batch * M
+        # time_prediction_each_step = torch.mean(
+        #     term_1[None, :] * density, dim=1
+        # ) * time_diffs[-1]
+
+        # size_batch
+        pred_time = torch.sum(time_diffs[None, :] * density, dim=1) / (torch.sum(density, dim=1))
+
+        # T x B
+        seq_time_to_current = self.seq_time_to_current[-1, :, :] + pred_time[None, :]
+
+        # Evt x B
+        lambda_next_event = const + torch.sum(
+            (
+                    self.alpha_over_seq * self.lambda_over_seq * self.graph_weights_seq[None, :, :] * torch.exp(
+                -self.lambda_over_seq * seq_time_to_current[None, :, :])
+            )
+            , dim=1  # sum over t
+        )
+
+        total_lambda_over_seq = torch.sum(lambda_next_event, dim=0) + 1E-9
+        pred_score = lambda_next_event / total_lambda_over_seq
+        _, pred_event = torch.max(pred_score, dim=0)
+        pred_time = pred_time + self.time_since_start_to_end
+
+        return pred_time, pred_event, pred_score
+
+    def update_state_given_event(self, pred_time, pred_event):
+        super(GraphHawkes, self).update_state_given_event(pred_time, pred_event)
+        self._update_graph_weights()
+
+
+class DDP(GraphHawkes):
+    """
+    DDP model
+    """
+    def __init__(self, n_event_type, n_context_dim, first_occurrence_only=False, mu_vec_np=None, alpha_mat_np=None,
+                 lambda_mat_np=None, embedding_size=10, rnn_hidden_size=10, gap_mean=0, gap_scale=1):
+        super().__init__(n_event_type, n_context_dim, first_occurrence_only, mu_vec_np, alpha_mat_np, lambda_mat_np)
+        self.gap_mean = gap_mean
+        self.gap_scale = gap_scale
+        self.embeding = nn.Embedding(n_event_type, embedding_size)
+        # + 1 for time gap
+        self.rnn = nn.LSTM(embedding_size + 1, rnn_hidden_size)
+        self.rnn_lin = nn.Linear(rnn_hidden_size, 1)
+        self.graph_weights_to_current = None
+        self.graph_weights_seq = None
+
+    def _update_graph_weights(self):
+        seq_type_event = self.seq_type_event
+        seq_mask_to_current = self.seq_mask_to_current
+        seq_time_to_end = self.seq_time_to_end
+
+        # n_event_type: T * batch_size
+        # event_embedding: T * batch_size * K
+        event_embedding = self.embeding(seq_type_event)
+        # time_gap: T * batch_size
+        # (T - 1) * batch_size
+        time_diff = (seq_time_to_end[:-1, :] - seq_time_to_end[1:, :] - self.gap_mean) / self.gap_scale
+        init_time_diff = time_diff.new_zeros((1, time_diff.shape[1]))
+        time_diff_input = torch.cat((init_time_diff, time_diff))
+        rnn_input = torch.cat((event_embedding, time_diff_input[:, :, None]), dim=2)
+
+        # rnn_output: T * batch_size * rnn_hidden_size
+        rnn_output, _ = self.rnn(rnn_input)
+        # graph_weights: T * batch_size
+        # activation function
+        graph_weights = torch.sigmoid(self.rnn_lin(rnn_output)).reshape(rnn_output.shape[:2])
+        self.graph_weights_seq = graph_weights
+        self.graph_weights_to_current = graph_weights[None, :, :] * seq_mask_to_current
diff --git a/alg/dynamic_disease_network_ddp/requirements.txt b/alg/dynamic_disease_network_ddp/requirements.txt
new file mode 100644
index 00000000..6e8d2764
--- /dev/null
+++ b/alg/dynamic_disease_network_ddp/requirements.txt
@@ -0,0 +1,3 @@
+torch>=1.3
+matplotlib
+numpy
diff --git a/alg/dynamic_disease_network_ddp/simulation.py b/alg/dynamic_disease_network_ddp/simulation.py
new file mode 100644
index 00000000..889c13d4
--- /dev/null
+++ b/alg/dynamic_disease_network_ddp/simulation.py
@@ -0,0 +1,142 @@
+import pickle
+import torch
+import torch.optim as optim
+import numpy as np
+import matplotlib
+matplotlib.use('Agg')
+import matplotlib.pyplot as plt
+import data_loader
+import models
+
+
+with open('data/test_ev50_big.pkl', 'rb') as handle:
+    train_data = pickle.load(handle)
+
+
+train_data['train'] += train_data['dev']
+train_data['train'] += (train_data['test'])
+
+max_len = 20
+n_event_type = dim_process = 50
+n_sample = 10000
+context_dim = 1
+
+train_input = data_loader.process_seq(train_data, list(range(n_sample)), max_len=max_len, n_event_type=n_event_type,
+                                      tag_batch='train', dtype=np.float32)
+
+
+batch_input_np = list(train_input)
+df_patient_static_mat = np.ones((1, n_sample)).astype('float32')
+batch_input_np.append(df_patient_static_mat)
+
+
+gap = batch_input_np[0][:-1, :] - batch_input_np[0][1:, :]
+gap_mean = np.mean(gap)
+gap_std = np.std(gap)
+
+
+with open('data/model_test_ev50_big.pkl', 'rb') as handle:
+    true_model = pickle.load(handle)
+
+
+true_alpha = true_model['alpha'] / true_model['delta']
+true_lambda = true_model['delta']
+
+print(np.sum(np.abs(np.mean(true_alpha) - true_alpha)))
+
+alpha_init = np.float32(
+    np.log(
+        np.random.uniform(
+            low=0.5, high=1.5,
+            size=(dim_process, dim_process)
+        )
+    )
+)
+
+lambda_init = np.float32(
+    np.log(
+        np.random.uniform(
+            low=10.0, high=20.0,
+            size=(dim_process, dim_process)
+        )
+    )
+)
+
+ddp_model = models.DDP(
+    n_event_type=n_event_type, 
+    n_context_dim=context_dim, 
+    first_occurrence_only=False, 
+    embedding_size=50, 
+    rnn_hidden_size=50,
+    alpha_mat_np=alpha_init,
+    lambda_mat_np=lambda_init,
+    gap_mean=gap_mean, 
+    gap_scale=gap_std
+)
+opt_ddp = optim.SGD(ddp_model.parameters(), lr=0.001, momentum=0.9)
+
+c_hawkes_model = models.CHawkes(n_event_type=n_event_type, n_context_dim=context_dim,
+                                first_occurrence_only=False, alpha_mat_np=alpha_init, lambda_mat_np=lambda_init)
+opt_c_hawkes = optim.SGD(c_hawkes_model.parameters(), lr = 0.001, momentum=0.9)
+
+with torch.no_grad():
+    test_batch = data_loader.get_whole_batch(batch_input_np)
+
+
+mat_dist_ddp = list()
+mat_dist_hawkes = list()
+
+rnn_sd = list()
+
+batch_size = 100
+training_itr = 1000
+report_step = 1
+
+current_best = 10000
+
+for i in range(training_itr):
+    
+    if i % report_step == 0:
+        with torch.no_grad():
+            test_batch = data_loader.get_whole_batch(batch_input_np)
+
+            ddp_model.set_input(*test_batch)
+
+            weights = ddp_model.graph_weights_seq.numpy()
+            rnn_sd.append(np.std(weights))
+
+            avg_weight_list = list()
+
+            a = test_batch[4].numpy()
+            b = test_batch[2].numpy()
+
+            for j in range(n_event_type):
+                ind = np.logical_not(np.logical_and(a == 1, b == j))
+                weights_cp = np.copy(weights)
+                weights_cp[ind] = np.nan
+                avg_weight_list.append(np.nanmean(weights_cp)) 
+
+            avg_weight = np.array(avg_weight_list)
+            mat_dist_ddp.append(
+                np.sum(np.abs(torch.exp(ddp_model.alpha_mat).numpy() * avg_weight - true_alpha)))
+            mat_dist_hawkes.append(np.sum(np.abs(torch.exp(c_hawkes_model.alpha_mat).numpy() - true_alpha)))
+
+    mini_batch = data_loader.get_mini_batch(batch_size, batch_input_np)
+    
+    ddp_model.set_input(*mini_batch)
+    log_lik = ddp_model() * (-1.0)
+    models.cross_ent_one_step(log_lik, opt_ddp)
+
+    c_hawkes_model.set_input(*mini_batch)
+    log_lik2 = c_hawkes_model() * (-1.0)
+    models.cross_ent_one_step(log_lik2, opt_c_hawkes)
+    
+
+fig = plt.figure()
+ax = fig.add_subplot(1, 1, 1)
+line = ax.plot(np.array(mat_dist_ddp), label='DDP')
+ax.axhline(y=min(mat_dist_hawkes), color='r', linestyle='--', label='Hawkes (Ground Truth)')
+plt.xlabel('Training Iteration')
+plt.ylabel('L1 Distance')
+plt.legend()
+fig.savefig('sim_result.png')
diff --git a/alg/dynamic_disease_network_ddp/tutorial.ipynb b/alg/dynamic_disease_network_ddp/tutorial.ipynb
new file mode 100644
index 00000000..5a31d48c
--- /dev/null
+++ b/alg/dynamic_disease_network_ddp/tutorial.ipynb
@@ -0,0 +1,373 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Tutorial"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {
+    "pycharm": {
+     "is_executing": false
+    }
+   },
+   "outputs": [],
+   "source": [
+    "import pickle\n",
+    "import torch\n",
+    "import torch.optim as optim\n",
+    "import numpy as np\n",
+    "import matplotlib\n",
+    "import matplotlib.pyplot as plt\n",
+    "import data_loader\n",
+    "import models\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Loading data\n",
+    "\n",
+    "Each event sequence is represented as a list of dictionaries. The dictionary represent when and what event has happens. The following gives the first three events in the first training sequene.\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[{'idx_event': 1,\n",
+       "  'type_event': 9,\n",
+       "  'time_since_start': 0.01705424730918858,\n",
+       "  'time_since_last_event': 0.01705424730918858,\n",
+       "  'time_since_last_same_event': 0.01705424730918858},\n",
+       " {'idx_event': 2,\n",
+       "  'type_event': 40,\n",
+       "  'time_since_start': 0.01773276790150446,\n",
+       "  'time_since_last_event': 0.0006785205923158823,\n",
+       "  'time_since_last_same_event': 0.01773276790150446},\n",
+       " {'idx_event': 3,\n",
+       "  'type_event': 10,\n",
+       "  'time_since_start': 0.018065941823793098,\n",
+       "  'time_since_last_event': 0.00033317392228863693,\n",
+       "  'time_since_last_same_event': 0.018065941823793098}]"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "with open('data/test_ev50_big.pkl', 'rb') as handle:\n",
+    "    train_data = pickle.load(handle)\n",
+    "\n",
+    "\n",
+    "train_data['train'] += train_data['dev']\n",
+    "train_data['train'] += (train_data['test'])\n",
+    "\n",
+    "train_data['train'][0][:3]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The `process_seq` helper function converts the sequence from a list to several numpy arraies, encoding information such as event time and event type."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "max_len = 20\n",
+    "n_event_type = dim_process = 50\n",
+    "n_sample = 10000\n",
+    "context_dim = 1\n",
+    "\n",
+    "train_input = data_loader.process_seq(train_data, list(range(n_sample)), max_len=max_len, n_event_type=n_event_type,\n",
+    "                                      tag_batch='train', dtype=np.float32)\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The simulation data set does not contain static feature, so we create dummies (a matrix with all ones) as the static feature."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "batch_input_np = list(train_input)\n",
+    "df_patient_static_mat = np.ones((1, n_sample)).astype('float32')\n",
+    "batch_input_np.append(df_patient_static_mat)\n",
+    "\n",
+    "\n",
+    "gap = batch_input_np[0][:-1, :] - batch_input_np[0][1:, :]\n",
+    "gap_mean = np.mean(gap)\n",
+    "gap_std = np.std(gap)\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Loading the ground-truth model that generated the data."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\n",
+    "with open('data/model_test_ev50_big.pkl', 'rb') as handle:\n",
+    "    true_model = pickle.load(handle)\n",
+    "\n",
+    "\n",
+    "true_alpha = true_model['alpha'] / true_model['delta']\n",
+    "true_lambda = true_model['delta']\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Training model\n",
+    "\n",
+    "First we defined the model the the optimizer in the standard way. We compare the DDP with the Hawkes process."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "alpha_init = np.float32(\n",
+    "    np.log(\n",
+    "        np.random.uniform(\n",
+    "            low=0.5, high=1.5,\n",
+    "            size=(dim_process, dim_process)\n",
+    "        )\n",
+    "    )\n",
+    ")\n",
+    "\n",
+    "lambda_init = np.float32(\n",
+    "    np.log(\n",
+    "        np.random.uniform(\n",
+    "            low=10.0, high=20.0,\n",
+    "            size=(dim_process, dim_process)\n",
+    "        )\n",
+    "    )\n",
+    ")\n",
+    "\n",
+    "ddp_model = models.DDP(\n",
+    "    n_event_type=n_event_type, \n",
+    "    n_context_dim=context_dim, \n",
+    "    first_occurrence_only=False, \n",
+    "    embedding_size=50, \n",
+    "    rnn_hidden_size=50,\n",
+    "    alpha_mat_np=alpha_init,\n",
+    "    lambda_mat_np=lambda_init,\n",
+    "    gap_mean=gap_mean, \n",
+    "    gap_scale=gap_std\n",
+    ")\n",
+    "opt_ddp = optim.SGD(ddp_model.parameters(), lr=0.001, momentum=0.9)\n",
+    "\n",
+    "c_hawkes_model = models.CHawkes(n_event_type=n_event_type, n_context_dim=context_dim,\n",
+    "                                first_occurrence_only=False, alpha_mat_np=alpha_init, lambda_mat_np=lambda_init)\n",
+    "opt_c_hawkes = optim.SGD(c_hawkes_model.parameters(), lr = 0.001, momentum=0.9)\n",
+    "\n",
+    "with torch.no_grad():\n",
+    "    test_batch = data_loader.get_whole_batch(batch_input_np)\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Setting up training parameters."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\n",
+    "with torch.no_grad():\n",
+    "    test_batch = data_loader.get_whole_batch(batch_input_np)\n",
+    "\n",
+    "\n",
+    "mat_dist_ddp = list()\n",
+    "mat_dist_hawkes = list()\n",
+    "\n",
+    "rnn_sd = list()\n",
+    "\n",
+    "batch_size = 100\n",
+    "training_itr = 1000\n",
+    "report_step = 1\n",
+    "\n",
+    "current_best = 10000"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We start the training iteration."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\n",
+    "for i in range(training_itr):\n",
+    "    \n",
+    "    if i % report_step == 0:\n",
+    "        with torch.no_grad():\n",
+    "            test_batch = data_loader.get_whole_batch(batch_input_np)\n",
+    "\n",
+    "            ddp_model.set_input(*test_batch)\n",
+    "\n",
+    "            weights = ddp_model.graph_weights_seq.numpy()\n",
+    "            rnn_sd.append(np.std(weights))\n",
+    "\n",
+    "            avg_weight_list = list()\n",
+    "\n",
+    "            a = test_batch[4].numpy()\n",
+    "            b = test_batch[2].numpy()\n",
+    "\n",
+    "            for j in range(n_event_type):\n",
+    "                ind = np.logical_not(np.logical_and(a == 1, b == j))\n",
+    "                weights_cp = np.copy(weights)\n",
+    "                weights_cp[ind] = np.nan\n",
+    "                avg_weight_list.append(np.nanmean(weights_cp)) \n",
+    "\n",
+    "            avg_weight = np.array(avg_weight_list)\n",
+    "            mat_dist_ddp.append(\n",
+    "                np.sum(np.abs(torch.exp(ddp_model.alpha_mat).numpy() * avg_weight - true_alpha)))\n",
+    "            mat_dist_hawkes.append(np.sum(np.abs(torch.exp(c_hawkes_model.alpha_mat).numpy() - true_alpha)))\n",
+    "\n",
+    "    mini_batch = data_loader.get_mini_batch(batch_size, batch_input_np)\n",
+    "    \n",
+    "    ddp_model.set_input(*mini_batch)\n",
+    "    log_lik = ddp_model() * (-1.0)\n",
+    "    models.cross_ent_one_step(log_lik, opt_ddp)\n",
+    "\n",
+    "    c_hawkes_model.set_input(*mini_batch)\n",
+    "    log_lik2 = c_hawkes_model() * (-1.0)\n",
+    "    models.cross_ent_one_step(log_lik2, opt_c_hawkes)\n",
+    "    "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Visualizing the training performance as follows:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.legend.Legend at 0x7fc61c6b8c90>"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig = plt.figure()\n",
+    "ax = fig.add_subplot(1, 1, 1)\n",
+    "line = ax.plot(np.array(mat_dist_ddp), label='DDP')\n",
+    "ax.axhline(y=min(mat_dist_hawkes), color='r', linestyle='--', label='Hawkes (Ground Truth)')\n",
+    "plt.xlabel('Training Iteration')\n",
+    "plt.ylabel('L1 Distance')\n",
+    "plt.legend()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.4"
+  },
+  "pycharm": {
+   "stem_cell": {
+    "cell_type": "raw",
+    "metadata": {
+     "collapsed": false
+    },
+    "source": []
+   }
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}
diff --git a/alg/gain/create_missing.py b/alg/gain/create_missing.py
new file mode 100644
index 00000000..df057679
--- /dev/null
+++ b/alg/gain/create_missing.py
@@ -0,0 +1,107 @@
+import argparse
+import numpy as np
+import pandas as pd
+import time
+import os
+import json
+import initpath_alg
+initpath_alg.init_sys_path()
+import utilmlab
+import data_loader_mlab
+
+
+def normalize_array(a):
+    Dim = a.shape[1]
+    Min_Val = np.zeros(Dim)
+    Max_Val = np.zeros(Dim)
+
+    for i in range(Dim):
+        Min_Val[i] = np.min(a[:, i])
+        a[:, i] = a[:, i] - np.min(a[:, i])
+        Max_Val[i] = np.max(a[:, i])
+        a[:, i] = a[:, i] / (np.max(a[:, i]) + 1e-6)
+    return a
+
+
+def init_arg():
+    parser = argparse.ArgumentParser()
+    parser.add_argument(
+        '--dataset', default='spam')
+    parser.add_argument(
+        '--pmiss', default=0.2, type=float, help='missing rate')
+    parser.add_argument(
+        '--oref', default='x.csv')
+    parser.add_argument(
+        '-o', default='xmissing.csv')
+    parser.add_argument(
+        '--properties')
+    parser.add_argument(
+        "--normalize01", default=1, type=int)
+    parser.add_argument(
+        '-n', default=0, type=int)
+    parser.add_argument(
+        '--istarget', help='include target if not zero',
+        default=0, type=int)
+    return parser.parse_args()
+
+
+if __name__ == '__main__':
+
+    args = init_arg()
+    p_miss = args.pmiss
+    odir = os.path.dirname(args.o)
+    nsample = args.n
+    logger = utilmlab.init_logger(odir if len(odir) else ".")
+    islabel = args.istarget
+    fn_missing_csv = args.o
+    fn_csv = args.oref
+    fn_json = args.properties
+    
+    is_normalize_0_1 = args.normalize01
+
+    dataset = args.dataset
+
+    rval, dset = data_loader_mlab.get_dataset(dataset, nsample)
+    assert rval == 0
+    data_loader_mlab.dataset_log_properties(logger, dset)
+
+    df = dset['df']
+    features = dset['features']
+    labels = dset['targets']
+    features_drop = []
+    for el in features:
+        # drop columns with missing data as we cannot then calculate the rmse
+        if sum(dset['df'][el].isnull()):
+            features_drop.append(el)
+    if len(features_drop):
+        logger.info('dropping features {}'.format(features_drop))
+        time.sleep(2)
+
+    features = [el for el in features if el not in features_drop]
+
+    data = dset['df'][features].values.astype(np.float)
+
+    if is_normalize_0_1:
+        data = normalize_array(data)
+
+    X_missing = utilmlab.introduce_missing(data, p_miss)
+
+    df_missing = pd.DataFrame(X_missing, columns=features)
+
+    df_missing = pd.DataFrame(X_missing, columns=features)
+    if islabel:
+        df_missing[labels] = df[labels]
+    df_missing.to_csv(
+        fn_missing_csv, index=False)
+    df_data = pd.DataFrame(data, columns=features)
+    if islabel:
+        df_data[labels] = df[labels]
+    df_data.to_csv(
+        fn_csv, index=False)
+    if fn_json is not None:
+        with open(fn_json, "w") as f:
+            dset_prop = {
+                'features': dset['features'],
+                'targets': dset['targets']
+            }
+            json.dump(dset_prop, f)        
diff --git a/alg/gain/gain.py b/alg/gain/gain.py
new file mode 100644
index 00000000..31867d2e
--- /dev/null
+++ b/alg/gain/gain.py
@@ -0,0 +1,391 @@
+'''
+Written by Jinsung Yoon
+Date: Jan 29th 2019
+Generative Adversarial Imputation Networks (GAIN) Implementation on Spam Dataset
+Reference: J. Yoon, J. Jordon, M. van der Schaar, "GAIN: Missing Data Imputation using Generative Adversarial Nets," ICML, 2018.
+Paper Link: http://medianetlab.ee.ucla.edu/papers/ICML_GAIN.pdf
+Appendix Link: http://medianetlab.ee.ucla.edu/papers/ICML_GAIN_Supp.pdf
+Contact: jsyoon0823@g.ucla.edu
+'''
+
+#%% Packages
+import tensorflow as tf
+import numpy as np
+from tqdm import tqdm
+import argparse
+import pandas as pd
+import os
+from sklearn.preprocessing import MinMaxScaler
+import initpath_alg
+initpath_alg.init_sys_path()
+import utilmlab
+import data_loader_mlab
+
+
+def normalize_array(a):
+    Dim = a.shape[1]
+    Min_Val = np.zeros(Dim)
+    Max_Val = np.zeros(Dim)
+
+    for i in range(Dim):
+        Min_Val[i] = np.min(a[:,i])
+        a[:,i] = a[:,i] - np.min(a[:,i])
+        Max_Val[i] = np.max(a[:,i])
+        a[:,i] = a[:,i] / (np.max(a[:,i]) + 1e-6)
+    return a
+
+
+def generate_mask(a, pmiss):
+    Dim = a.shape[1]
+    No = a.shape[0]
+    p_miss_vec = p_miss * np.ones((Dim, 1))
+
+    Missing = np.zeros((No, Dim))
+    for i in range(Dim):
+        A = np.random.uniform(0., 1., size=[len(Data), ])
+        B = A > p_miss_vec[i]
+        Missing[:, i] = 1.*B
+    return Missing
+
+
+def init_arg():
+    parser = argparse.ArgumentParser()
+    parser.add_argument(
+        '-o', default='imputed.csv', help='output (csv) file')
+    parser.add_argument(
+        '--it', default=5000, type=int, help='iterations')
+    parser.add_argument(
+        '--dataset',
+        help='load one of the available/buildin datasets'
+        ' [spam, spambase, letter, ...] use show to see a list')
+    parser.add_argument(
+        '-i', help='load data as a csv file, requires the name of the label'
+        ' (reponsevar) to be specified as well (if applicable), this column'
+        'will not be processed')
+    parser.add_argument(
+        '--target', help='specifies the column with the response var '
+        'if applicable when loading a csv file, this column will'
+        ' not be processed')
+    parser.add_argument(
+        '--testall', type=int, default=1)
+    parser.add_argument(
+        '--ref')
+    parser.add_argument(
+        '--bs', default=128, type=int, help='batch size')
+    parser.add_argument(
+        '--pmiss', default=0.2, type=float, help='missing rate')
+    parser.add_argument(
+        '--phint', default=0.9, type=float, help='hint rate')
+    parser.add_argument(
+        '--alpha', default=10, type=float, help='')
+    parser.add_argument(
+        '--autocategorical', default=1, type=int, help='')
+    parser.add_argument(
+        '--verbose', default=0, type=int, help='')
+    parser.add_argument(
+        '--trainratio', default=0.8, type=float, help='')
+    return parser.parse_args()
+
+
+if __name__ == '__main__':
+
+    args = init_arg()
+
+    fn_icsv = args.i
+    fn_ref_csv = args.ref
+    fn_ocsv = args.o
+    odir = os.path.dirname(fn_ocsv)
+    odir = odir if len(odir) else '.'
+    logger = utilmlab.init_logger(odir)
+
+    mb_size = args.bs
+    p_miss = args.pmiss
+    p_hint = args.phint
+    alpha = args.alpha
+    train_rate = args.trainratio
+    dataset = args.dataset
+    niter = args.it
+    test_all = args.testall
+    label = args.target
+    is_auto_categorical = args.autocategorical
+    is_cat_one_hot = args.autocategorical == 2
+    is_verbose = args.verbose
+
+    logger.info(
+        'gain data:{} # it:{} testall:{} odir:{} '
+        'autocat:{} is_cat_one_hot:{}'.format(
+            dataset if dataset is not None else fn_ocsv,
+            niter,
+            test_all,
+            odir,
+            is_auto_categorical,
+            is_cat_one_hot))
+
+    logger.info('')
+    logger.info('{}'.format(args))
+    logger.info('')
+
+    if fn_icsv is not None:
+        if is_verbose:
+            logger.info('loading csv {}'.format(fn_icsv))
+        df = pd.read_csv(fn_icsv)
+        features = list(df.columns)
+        if label is not None:
+            if label not in features:
+                print(features, label)
+                assert label in features
+            features.remove(label)
+        if is_auto_categorical:
+            df_tmp, prop_df_one_hot = utilmlab.df_cat_to_one_hot(
+                df[features],
+                is_verbose=is_verbose,
+                is_cat_one_hot=is_cat_one_hot
+            )
+            Data = df_tmp.values
+        else:
+            Data = df[features].values
+        Missing = np.where(np.isnan(Data), 0.0, 1.0)
+        Data = np.where(Missing, Data, 0)
+        if fn_ref_csv is not None:
+            df_ref = pd.read_csv(fn_ref_csv)
+        logger.info('features: #{} {} label:{}'.format(
+            len(features), features, label))
+    else:
+        logger.info('loading {} using dataloader'.format(dataset))
+        rval, dset = data_loader_mlab.get_dataset(dataset)
+        assert rval == 0
+        data_loader_mlab.dataset_log_properties(logger, dset)
+        features = dset['features']
+        Data = dset['df'][dset['features']].values.astype(np.float)
+
+        
+    # Parameters
+    No = len(Data)
+    Dim = len(Data[0, :])
+
+    # Hidden state dimensions
+    H_Dim1 = Dim
+    H_Dim2 = Dim
+
+    if True:
+        if fn_icsv is not None:
+            pass
+        else:
+            Missing = generate_mask(Data, p_miss)
+
+    idx = np.random.permutation(No)
+
+    Train_No = int(No * train_rate)
+    Test_No = No - Train_No
+    trainX = Data[idx[:Train_No], :]
+    testX = Data[idx[Train_No:], :]
+
+    # scale/normalize dataset
+    range_scaler = (0, 1)
+    scaler = MinMaxScaler(feature_range=range_scaler)
+    scaler.fit(trainX)
+
+    trainX = scaler.transform(
+        trainX)
+
+    if fn_ref_csv:
+        testX = df_ref[features].values[idx[Train_No:], :]
+
+    testX = scaler.transform(
+        testX)
+    Data = scaler.transform(
+        Data)
+
+    # Train / Test Missing/Mask Indicators (1 is not missing)
+    trainM = Missing[idx[:Train_No], :]
+    testM = Missing[idx[Train_No:], :]
+
+    # 1. Xavier Initialization Definition
+    def xavier_init(size):
+        in_dim = size[0]
+        xavier_stddev = 1. / tf.sqrt(in_dim / 2.)
+        return tf.random_normal(shape = size, stddev = xavier_stddev)
+        
+    # Hint Vector Generation
+    def sample_M(m, n, p):
+        A = np.random.uniform(0., 1., size = [m, n])
+        B = A > p
+        C = 1.*B
+        return C
+       
+    '''
+    GAIN Consists of 3 Components
+    - Generator
+    - Discriminator
+    - Hint Mechanism
+    '''   
+       
+    #%% GAIN Architecture   
+       
+    #%% 1. Input Placeholders
+    # 1.1. Data Vector
+    X = tf.placeholder(tf.float32, shape = [None, Dim])
+    # 1.2. Mask Vector 
+    M = tf.placeholder(tf.float32, shape = [None, Dim])
+    # 1.3. Hint vector
+    H = tf.placeholder(tf.float32, shape = [None, Dim])
+    # 1.4. X with missing values
+    New_X = tf.placeholder(tf.float32, shape = [None, Dim])
+    
+    #%% 2. Discriminator
+    D_W1 = tf.Variable(xavier_init([Dim*2, H_Dim1]))     # Data + Hint as inputs
+    D_b1 = tf.Variable(tf.zeros(shape = [H_Dim1]))
+    
+    D_W2 = tf.Variable(xavier_init([H_Dim1, H_Dim2]))
+    D_b2 = tf.Variable(tf.zeros(shape = [H_Dim2]))
+    
+    D_W3 = tf.Variable(xavier_init([H_Dim2, Dim]))
+    D_b3 = tf.Variable(tf.zeros(shape = [Dim]))       # Output is multi-variate
+    
+    theta_D = [D_W1, D_W2, D_W3, D_b1, D_b2, D_b3]
+    
+    #%% 3. Generator
+    G_W1 = tf.Variable(xavier_init([Dim*2, H_Dim1]))     # Data + Mask as inputs (Random Noises are in Missing Components)
+    G_b1 = tf.Variable(tf.zeros(shape = [H_Dim1]))
+    
+    G_W2 = tf.Variable(xavier_init([H_Dim1, H_Dim2]))
+    G_b2 = tf.Variable(tf.zeros(shape = [H_Dim2]))
+    
+    G_W3 = tf.Variable(xavier_init([H_Dim2, Dim]))
+    G_b3 = tf.Variable(tf.zeros(shape = [Dim]))
+    
+    theta_G = [G_W1, G_W2, G_W3, G_b1, G_b2, G_b3]
+    
+    #%% GAIN Function
+    
+    #%% 1. Generator
+    def generator(new_x,m):
+        inputs = tf.concat(axis = 1, values = [new_x,m])  # Mask + Data Concatenate
+        G_h1 = tf.nn.relu(tf.matmul(inputs, G_W1) + G_b1)
+        G_h2 = tf.nn.relu(tf.matmul(G_h1, G_W2) + G_b2)   
+        G_prob = tf.nn.sigmoid(tf.matmul(G_h2, G_W3) + G_b3) # [0,1] normalized Output
+        
+        return G_prob
+        
+    #%% 2. Discriminator
+    def discriminator(new_x, h):
+        inputs = tf.concat(axis = 1, values = [new_x,h])  # Hint + Data Concatenate
+        D_h1 = tf.nn.relu(tf.matmul(inputs, D_W1) + D_b1)  
+        D_h2 = tf.nn.relu(tf.matmul(D_h1, D_W2) + D_b2)
+        D_logit = tf.matmul(D_h2, D_W3) + D_b3
+        D_prob = tf.nn.sigmoid(D_logit)  # [0,1] Probability Output
+        
+        return D_prob
+    
+    #%% 3. Other functions
+    # Random sample generator for Z
+    def sample_Z(m, n):
+        return np.random.uniform(0., 0.01, size = [m, n])        
+    
+    # Mini-batch generation
+    def sample_idx(m, n):
+        A = np.random.permutation(m)
+        idx = A[:n]
+        return idx
+    
+    #%% Structure
+    # Generator
+    G_sample = generator(New_X,M)
+    
+    # Combine with original data
+    Hat_New_X = New_X * M + G_sample * (1-M)
+    
+    # Discriminator
+    D_prob = discriminator(Hat_New_X, H)
+    
+    #%% Loss
+    D_loss1 = -tf.reduce_mean(M * tf.log(D_prob + 1e-8) + (1-M) * tf.log(1. - D_prob + 1e-8)) 
+    G_loss1 = -tf.reduce_mean((1-M) * tf.log(D_prob + 1e-8))
+    MSE_train_loss = tf.reduce_mean((M * New_X - M * G_sample)**2) / tf.reduce_mean(M)
+    
+    D_loss = D_loss1
+    G_loss = G_loss1 + alpha * MSE_train_loss 
+    
+    #%% MSE Performance metric
+    MSE_test_loss = tf.reduce_mean(((1-M) * X - (1-M)*G_sample)**2) / tf.reduce_mean(1-M)
+    
+    #%% Solver
+    D_solver = tf.train.AdamOptimizer().minimize(D_loss, var_list=theta_D)
+    G_solver = tf.train.AdamOptimizer().minimize(G_loss, var_list=theta_G)
+    
+    # Sessions
+    sess = tf.Session()
+    sess.run(tf.global_variables_initializer())
+    
+    #%% Iterations
+    
+    #%% Start Iterations
+    
+    pbar = tqdm(range(niter))
+    for it in pbar:    
+        
+        #%% Inputs
+        mb_idx = sample_idx(Train_No, mb_size)  # random idxs of mbsize
+        X_mb = trainX[mb_idx, :]
+        
+        Z_mb = sample_Z(mb_size, Dim)  # random noise between 0 and 0.01
+        M_mb = trainM[mb_idx, :]  # mask mbsize
+        H_mb1 = sample_M(mb_size, Dim, 1-p_hint)  # hint mask (1-phint)
+        H_mb = M_mb * H_mb1 # mask * hint mask = hints
+                 # mask * X    + not mask * noise
+        New_X_mb = M_mb * X_mb + (1-M_mb) * Z_mb  # Missing Data Introduce
+        
+        _, D_loss_curr = sess.run([D_solver, D_loss1], feed_dict = {M: M_mb, New_X: New_X_mb, H: H_mb})
+        _, G_loss_curr, MSE_train_loss_curr, MSE_test_loss_curr = sess.run([G_solver, G_loss1, MSE_train_loss, MSE_test_loss],
+                                                                           feed_dict = {X: X_mb, M: M_mb, New_X: New_X_mb, H: H_mb})
+
+        #%% Intermediate Losses
+        if it % 500 == 0:
+            s = "{:6d}) loss train {:0.3f} test {:0.3f}".format(
+                it,
+                np.sqrt(MSE_train_loss_curr),
+                np.sqrt(MSE_test_loss_curr))
+            pbar.clear()
+            logger.info('{}'.format(s))
+            pbar.set_description(s)
+        
+        
+    #%% Final Loss
+
+    if not test_all:
+        Z_mb = sample_Z(Test_No, Dim)
+        M_mb = testM
+        X_mb = testX
+    else:
+        Z_mb = sample_Z(No, Dim)
+        M_mb = Missing
+        X_mb = Data
+        if fn_ref_csv:
+            testX = df_ref[features].values
+        else:
+            testX = Data
+        testM = Missing
+
+        logger.info('testall: {} {} {} {}'.format(
+            Z_mb.shape, M_mb.shape, X_mb.shape, New_X_mb.shape))
+
+    New_X_mb = M_mb * X_mb + (1-M_mb) * Z_mb  # Missing Data Introduce
+    MSE_final, Sample = sess.run(
+        [MSE_test_loss, G_sample],
+        feed_dict={X: testX, M: testM, New_X: New_X_mb})
+    testX_imputed = np.where(testM < 1, Sample, testX)
+
+    testX_imputed = scaler.inverse_transform(testX_imputed)
+    
+    if is_auto_categorical:
+        testX_imputed = utilmlab.df_one_hot_to_cat(
+            pd.DataFrame(
+                testX_imputed,
+                columns=prop_df_one_hot['dfcol_one_hot']),
+            prop_df_one_hot)
+
+    df_imputed = pd.DataFrame(testX_imputed, columns=features)
+    if label is not None:
+        df_imputed[[label]] = df[[label]]
+
+    df_imputed.to_csv(fn_ocsv, index=False)
diff --git a/alg/gain/gain_ana.py b/alg/gain/gain_ana.py
new file mode 100644
index 00000000..48848262
--- /dev/null
+++ b/alg/gain/gain_ana.py
@@ -0,0 +1,156 @@
+import argparse
+import pandas as pd
+import numpy as np
+import json
+import os
+import seaborn as sns
+import matplotlib.pyplot as plt
+from sklearn.preprocessing import MinMaxScaler
+
+
+def get_values_mask(val, mask):
+    lst = list()
+    assert val.shape == mask.shape
+    for row in range(val.shape[0]):
+        for col in range(val.shape[1]):
+            if mask[row, col]:
+                lst.append(val[row, col])
+    return lst
+
+
+def init_arg():
+    parser = argparse.ArgumentParser()
+    parser.add_argument("-i", help='input csv file  (with missing values)')
+    parser.add_argument("-o", help='json file with analysis results')
+    parser.add_argument("--ref", help='input csv file without missing values')
+    parser.add_argument(
+        "--imputed",
+        help='input csv file were missing values are imputed')
+    parser.add_argument(
+        "--target",
+        help='column name with target values, this column will '
+        'be excluded from analysis')
+    parser.add_argument("--description", default='-')
+    return parser.parse_args()
+
+
+def get_num_na(df):
+    return int(sum(np.ravel(np.isnan(df))))
+
+
+def df_ana_diff(df0, df1):
+    is_equal = df0.equals(df1)
+    count_el_diff = 0
+    if not is_equal:
+        count_el_diff = sum(np.ravel(df0 != df1))
+    return {
+        'equal': bool(is_equal),
+        'ratio': float(count_el_diff/float(df0.size)),
+        'ndiff': int(count_el_diff)
+    }
+
+
+if __name__ == '__main__':
+
+    args = init_arg()
+    fn_json = args.o
+    assert fn_json is not None
+    odir = os.path.dirname(fn_json)
+    odir = odir if len(odir) else '.'
+    df = pd.read_csv(args.i)   
+    df_ref = pd.read_csv(args.ref)
+    df_imputed = pd.read_csv(args.imputed)
+    label = args.target
+
+    features_imputed = [
+        el.replace('.', ' ').lstrip() for el in df_imputed.columns]
+    features_ref = [
+        el.replace('.', ' ').lstrip() for el in df_ref.columns]
+
+    df_imputed = pd.DataFrame(
+        df_imputed.values, columns=features_imputed)
+    df_ref = pd.DataFrame(
+        df_ref.values, columns=features_ref)
+
+    diff_features = set(features_imputed) - set(features_ref)
+
+    if len(diff_features):
+        print('diff {}'.format(diff_features))
+
+    if label is not None:
+        assert label in features_imputed
+        assert label in features_ref
+        features_imputed.remove(label)
+        features_ref.remove(label)
+
+    mask = np.where(np.isnan(df[features_ref].values), True, False)
+    print(features_imputed, df.columns)
+    df_imputed_calc = pd.DataFrame(
+        df_imputed[features_imputed].values, columns=features_imputed)
+    df_ref_calc = pd.DataFrame(
+        df_ref[features_ref].values, columns=features_ref)
+    # scale/normalize dataset
+    range_scaler = (0, 1)
+    scaler = MinMaxScaler(feature_range=range_scaler)
+    scaler.fit(df_ref_calc[features_ref].values)
+
+    df_ref_calc = pd.DataFrame(
+        scaler.transform(
+            df_ref_calc[features_ref]),
+        columns=features_ref)
+    df_imputed_calc = pd.DataFrame(
+        scaler.transform(
+            df_imputed_calc[features_imputed]),
+        columns=features_imputed)
+
+    num_na_imputed = get_num_na(df_imputed_calc)
+
+    df_imputed_calc = df_imputed_calc.fillna(0)
+
+    nmissing = sum(np.ravel(mask))
+
+    if not nmissing:
+        print('warning: no missing values found')
+
+    a = sum(sum(np.where(mask, (df_ref_calc - df_imputed_calc) * (
+        df_ref_calc - df_imputed_calc), 0)))
+
+    rmse_final = float(np.sqrt(a/float(nmissing))) if nmissing else 0.0
+    print('rmse: {:0.3f} {:0.3f} {:0.3f}'.format(
+        rmse_final, a, nmissing/float(mask.size)))
+
+    result_d = {
+        'nmissing': get_num_na(df[features_ref]),
+        'rmse': rmse_final,
+        'nsample': int(df_imputed_calc.size),
+        'num_na_imputed': num_na_imputed,
+        'description': args.description
+    }
+
+    missing_mask_01 = np.where(np.isnan(df[features_ref].values), 1.0, 0.0)
+    testM = missing_mask_01
+    testX = df_ref_calc.values
+    Recover_testX = df_imputed_calc.values
+    diff_a = df_ref_calc.values - Recover_testX
+    if nmissing:
+        plt.subplot(2, 1, 1)
+        ax = sns.distplot(
+            get_values_mask(diff_a, missing_mask_01),
+            hist=False, kde=True, kde_kws={'linewidth': 1}, label='diff')
+        ax.set_title('rmse : {:0.3f}'.format(result_d['rmse']))
+        plt.subplot(2, 1, 2)
+        sns.distplot(
+            get_values_mask(testX, missing_mask_01),
+            hist=False, kde=True, kde_kws={'linewidth': 1}, label='testX')
+        sns.distplot(
+            get_values_mask(Recover_testX, missing_mask_01),
+            hist=False, kde=True, kde_kws={'linewidth': 1}, label='recoverX')
+        plt.xlabel('proba')
+        plt.legend()
+        plt.grid()
+        plt.savefig('{}/plot.png'.format(odir))
+    result_ana_diff = df_ana_diff(df_ref, df_imputed)
+    result_d['ana_diff'] = result_ana_diff
+    print(result_d['rmse'])
+    with open(fn_json, "w") as fp:
+        json.dump(result_d, fp)
diff --git a/alg/gain/initpath_alg.py b/alg/gain/initpath_alg.py
new file mode 100644
index 00000000..20c5a003
--- /dev/null
+++ b/alg/gain/initpath_alg.py
@@ -0,0 +1,12 @@
+def init_sys_path():
+    import os
+    import sys
+    proj_dir = os.path.abspath(
+        os.path.join(
+            os.path.join(
+                os.path.dirname(os.path.realpath(__file__)),
+                os.pardir),
+            os.pardir))
+    sys.path.append(os.path.join(proj_dir, 'init'))
+    import initpath
+    initpath.platform_init_path(proj_dir)
diff --git a/alg/gain/readme.md b/alg/gain/readme.md
new file mode 100644
index 00000000..c64bf7cf
--- /dev/null
+++ b/alg/gain/readme.md
@@ -0,0 +1,29 @@
+# Gain
+
+Written by Jinsung Yoon
+Date: Jan 29th 2019
+Generative Adversarial Imputation Networks (GAIN) Implementation on Spam Dataset
+Reference: J. Yoon, J. Jordon, M. van der Schaar, "GAIN: Missing Data Imputation using Generative Adversarial Nets," ICML, 2018.
+[Paper](http://medianetlab.ee.ucla.edu/papers/ICML_GAIN.pdf)
+[Appendix](http://medianetlab.ee.ucla.edu/papers/ICML_GAIN_Supp.pdf)
+Contact: jsyoon0823@g.ucla.edu
+
+
+## Usage:
+
+```
+    python3 test_gain.py  # tests the gain algorithm
+    python3 gain.py  # implemention of GAIN, imputes missing data.
+
+    python3 create_missing.py  # creates a csv with missing data.
+    python3 gain_ana.py  # analyses the imputed data by calculating the RMSE, be sure to normalize first
+```
+
+## example:
+
+```
+    python3 create_missing.py --dataset bc -o missing.csv --oref ref.csv --istarget 1 --normalize01 1
+    python3 gain.py -i missing.csv -o imputed.csv --target target
+    python3 gain_ana.py -i missing.csv --ref ref.csv --imputed imputed.csv -o result.json --target target
+```
+
diff --git a/alg/gain/test_gain.py b/alg/gain/test_gain.py
new file mode 100644
index 00000000..82137ab5
--- /dev/null
+++ b/alg/gain/test_gain.py
@@ -0,0 +1,184 @@
+'''
+Example/Test script for gain. Executes gain for two datasets: Spam, Letter
+'''
+
+import os
+import argparse
+import json
+import sys
+import initpath_alg
+from pathlib import Path
+initpath_alg.init_sys_path()
+import utilmlab
+import data_loader_mlab
+
+
+def set_filenames(odir):
+    utilmlab.ensure_dir(odir)
+    fn_csv = '{}/x.csv'.format(odir)
+    fn_missing_csv = '{}/x_missing.csv'.format(odir)
+    fn_imputed_csv = '{}/x_imputed.csv'.format(odir)
+    return fn_csv, fn_missing_csv, fn_imputed_csv
+
+
+def init_arg():
+    parser = argparse.ArgumentParser()
+    parser.add_argument('--exe', help='python interpreter to use')
+    parser.add_argument('--it', default=5000, type=int)
+    parser.add_argument('--verify', default=1, type=int)
+    parser.add_argument('--projdir')
+    return parser.parse_args()
+
+
+if __name__ == '__main__':
+
+    args = init_arg()
+
+    if args.exe is not None:
+        python_exe = args.exe
+    else:
+        python_exe = 'python' if sys.version_info[0] < 3 else 'python3'
+
+    niter = args.it
+    version = 5
+    is_verify = args.verify
+
+    proj_dir = utilmlab.get_proj_dir() \
+        if args.projdir is None else args.projdir
+
+    resdir = '{}/result/gain/v_{}/h_{}'.format(
+        proj_dir,
+        version,
+        os.environ['HOSTNAME'] if 'HOSTNAME' in os.environ else 'unknown')
+
+    utilmlab.ensure_dir(resdir)
+
+    logger = utilmlab.init_logger(resdir, 'log_test_gain.txt')
+
+    dataset = 'bc'
+
+    odir = '{}/misc/dataset_{}'.format(resdir, dataset)
+
+    fn_csv, fn_missing_csv, fn_imputed_csv = set_filenames(odir)
+
+    script_create_missing = Path('{}/alg/gain/create_missing.py'.format(
+        proj_dir))
+    script = Path('{}/alg/gain/gain.py'.format(proj_dir))
+    script_ana = Path('{}/alg/gain/gain_ana.py'.format(proj_dir))
+
+    for islabel in [0, 1]:
+        for autocat in [0, 1, 2]:
+            utilmlab.exe_cmd(
+                logger,
+                '{} {} --dataset {} -o {} '
+                '--oref {} --istarget {}'.format(
+                    python_exe,
+                    script_create_missing,
+                    dataset,
+                    fn_missing_csv,
+                    fn_csv,
+                    islabel))
+
+            utilmlab.exe_cmd(
+                logger,
+                '{} {} -i {} {} '
+                '-o {} --it {} --testall 1 --autocategorical {}'.format(
+                    python_exe,
+                    script,
+                    fn_missing_csv,
+                    '--target target' if islabel else '',
+                    fn_imputed_csv,
+                    niter,
+                    autocat))
+
+    result_lst = []
+
+    dataset_prop = [
+        ('spambase', None),
+        ('spambase', 'label'),
+        ('bc', None),
+        ('spam', None),
+        ('letter-recognition', None),
+        ('letter-recognition', 'lettr'),
+        ('letter', None)
+    ]
+
+    for dataset, label in dataset_prop:
+
+        if not data_loader_mlab.is_available(dataset):
+            logger.info('skipping dataset {}'.format(dataset))
+            continue
+
+        odir = '{}/canned_0/dataset_{}'.format(resdir, dataset)
+
+        fn_csv, fn_missing_csv, fn_imputed_csv = set_filenames(odir)
+
+        label_arg = '--target {}'.format(label) if label is not None else ''
+
+        utilmlab.exe_cmd(
+            logger,
+            '{} {} --dataset {} -o {} --oref {} --istarget {} '
+            '--normalize01 0'.format(
+                python_exe,
+                script_create_missing,
+                dataset,
+                fn_missing_csv,
+                fn_csv,
+                1 if label is not None else 0
+            ))
+
+        utilmlab.exe_cmd(
+            logger,
+            '{} {} -i {} --ref {} -o {} '
+            '--it {} --testall 1 {}'.format(
+                python_exe,
+                script,
+                fn_missing_csv,
+                fn_csv,
+                fn_imputed_csv,
+                niter,
+                label_arg
+            ))
+
+        fn_result = '{}/result_ana.json'.format(odir)
+        utilmlab.exe_cmd(
+            logger,
+            '{} {} -i {} --ref {} --imputed {} -o {} {}'.format(
+                python_exe,
+                script_ana,
+                fn_missing_csv,
+                fn_csv,
+                fn_imputed_csv,
+                fn_result,
+                label_arg))
+
+        with open(fn_result) as f:
+            result_d = json.load(f)
+        result_lst.append((dataset, result_d['rmse']))
+        logger.info('{}'.format(result_lst[-1]))
+
+    logger.info('\n\nOverview result gain:\n')
+
+    result_ref = {
+        'spambase': 0.055,
+        'spam': 0.055,
+        'letter': 0.125,
+        'letter-recognition': 0.125,
+    }
+    is_ok = True
+    is_ok_th = 0.01
+    for el in result_lst:
+        ds = el[0]
+        diff_desc = ''
+        if ds in result_ref.keys():
+            diff_result = abs(el[1]-result_ref[ds])
+            if diff_result > is_ok_th:
+                is_ok = False
+            diff_desc = '{} {}'.format(
+                diff_result, '(out of spec)' if diff_result > is_ok_th else '')
+        logger.info('{:20s} {} {}'.format(
+            el[0],
+            'rmse {:0.3f}'.format(el[1]),
+            diff_desc))
+    if is_verify:
+        assert is_ok
diff --git a/alg/gain/tutorial_gain.ipynb b/alg/gain/tutorial_gain.ipynb
new file mode 100644
index 00000000..19c974f8
--- /dev/null
+++ b/alg/gain/tutorial_gain.ipynb
@@ -0,0 +1,119 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Tutorial GAIN\n",
+    "\n",
+    "    \n",
+    " ## Missing Data Imputation using Generative Adversarial Nets"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "This tutorial shows how to use GAIN to do data imputation. Follow link [GAIN](http://proceedings.mlr.press/v80/yoon18a.html) for more details. We are using the UCI dataset forest cover type as an example."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Load dataset and show the first five samples:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from sklearn.datasets import fetch_covtype\n",
+    "import pandas as pd\n",
+    "data = fetch_covtype()\n",
+    "df = pd.DataFrame(data.data)\n",
+    "target = 'target'\n",
+    "df[target] = data.target\n",
+    "\n",
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Introduce missing data:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "nsample = 5000\n",
+    "python_exe = 'python3'  # on some platforms the name of the python3 exe is python, python3.6 ...\n",
+    "\n",
+    "!{python_exe} create_missing.py --dataset cover --pmiss 0.2 --normalize01 0 -o xmissing.csv --oref x.csv -n {nsample}\n",
+    "df = pd.read_csv(\"xmissing.csv\")\n",
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Run the algorithm gain:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "!{python_exe} gain.py -i xmissing.csv -o ximputed.csv"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Show imputed data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df = pd.read_csv(\"ximputed.csv\")\n",
+    "df.head()"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/alg/ganite/README.md b/alg/ganite/README.md
new file mode 100644
index 00000000..9fb7b9d0
--- /dev/null
+++ b/alg/ganite/README.md
@@ -0,0 +1,10 @@
+# Ganite
+
+[GANITE](https://openreview.net/forum?id=ByKWUeWA-) a GAN based algorithm for estimating individualized treatment effects
+
+## Usage (TBD)
+
+```
+    # run test script
+    python3 test_ganite.py
+```
diff --git a/alg/ganite/data_preprocessing_ganite.py b/alg/ganite/data_preprocessing_ganite.py
new file mode 100644
index 00000000..a481c737
--- /dev/null
+++ b/alg/ganite/data_preprocessing_ganite.py
@@ -0,0 +1,169 @@
+## Jobs data import (Jinsung Yoon, 10/11/2017)
+
+import numpy as np
+from scipy.special import expit
+import argparse
+import pandas as pd
+import initpath_alg
+initpath_alg.init_sys_path()
+import utilmlab
+
+'''
+Input: train_rate: 0.8
+Outputs:
+  - Train_X, Test_X: Train and Test features
+  - Train_Y: Observable outcomes
+  - Train_T: Assigned treatment
+  - Opt_Train_Y, Test_Y: Potential outcomes.
+'''
+
+def Data_Twins(fn_csv, train_rate = 0.8):
+  
+    #%% Data Input (11400 patients, 30 features, 2 potential outcomes)
+    Data = np.loadtxt(fn_csv, delimiter=",", skiprows=1)
+
+    # Features
+    X = Data[:,:30]
+
+    # Feature dimensions and patient numbers
+    Dim = len(X[0])
+    No = len(X)
+    
+    # Labels
+    Opt_Y = Data[:,30:]
+    
+    for i in range(2):
+      idx = np.where(Opt_Y[:,i] > 365)
+      Opt_Y[idx,i] = 365
+    
+    Opt_Y = 1-(Opt_Y / 365.0)
+            
+    #%% Patient Treatment Assignment
+    coef = 0* np.random.uniform(-0.01, 0.01, size = [Dim,1])
+    Temp =  expit(np.matmul(X,coef) + np.random.normal(0,0.01, size = [No,1]) )
+    
+    Temp = Temp/(2*np.mean(Temp))
+    
+    Temp[Temp>1] = 1
+    
+    T = np.random.binomial(1,Temp,[No,1])
+    T = T.reshape([No,])
+
+    #%% Observable outcomes
+    Y = np.zeros([No,1])
+
+    # Output
+    Y = np.transpose(T) * Opt_Y[:,1] + np.transpose(1-T) * Opt_Y[:,0]    
+    Y = np.transpose(Y)
+    Y = np.reshape(Y,[No,])
+
+    #%% Train / Test Division
+    temp = np.random.permutation(No)
+    Train_No = int(train_rate*No)
+    train_idx = temp[:Train_No]
+    test_idx = temp[Train_No:No]
+    
+    Train_X = X[train_idx,:]
+    Train_T = T[train_idx]
+    Train_Y = Y[train_idx]
+    Opt_Train_Y = Opt_Y[train_idx,:]
+
+    Test_X = X[test_idx,:]
+    Test_Y = Opt_Y[test_idx,:]
+        
+    return [Train_X, Train_T, Train_Y, Opt_Train_Y, Test_X, Test_Y]
+
+
+def Data_Jobs(fn_csv):
+    # Data Input
+
+    Data = np.loadtxt(fn_csv, delimiter=",", skiprows=1)
+
+    # Feature, Treatment and Output 
+    X = Data[:,:7]
+
+    T = Data[:,7]
+
+    Raw_Y = Data[:,8] 
+    Y = np.array(Raw_Y>0,dtype=float)
+    
+    # Parameters
+    No = len(X)
+    RCT_No = 723
+    Train_Rate = 0.8
+
+    # RCT / NoRCT
+    RCT_X = X[:RCT_No,:]
+    RCT_T = T[:RCT_No]
+    RCT_Y = Y[:RCT_No]
+
+    NoRCT_X = X[RCT_No:,:]
+    NoRCT_T = T[RCT_No:]
+    NoRCT_Y = Y[RCT_No:]
+
+    # Train / Test Division
+    temp = np.random.permutation(RCT_No)
+    Train_No = int(Train_Rate*RCT_No)
+    Test_No = RCT_No - Train_No
+    train_idx = temp[:Train_No]
+    test_idx = temp[Train_No:]
+    
+    Train_X_Test = RCT_X[train_idx,:]
+    Train_T_Test = RCT_T[train_idx]
+    Train_Y_Test = RCT_Y[train_idx]
+
+    Train_Test_No = len(train_idx)
+
+    Test_X = RCT_X[test_idx,:]
+    Test_T = RCT_T[test_idx]
+    Test_Y = 1- (1*(RCT_Y[test_idx] == 0))
+
+    Train_X = np.concatenate([Train_X_Test,NoRCT_X])
+    Train_T = np.concatenate([Train_T_Test,NoRCT_T])
+    Train_Y = np.concatenate([Train_Y_Test,NoRCT_Y])
+
+    Train_No = No - Test_No
+    
+    return [Train_X, Train_T, Train_Y, Test_X, Test_T, Test_Y, Train_X_Test, Train_T_Test, Train_Y_Test, Train_No, Test_No, Train_Test_No]
+
+
+def init_arg():
+    parser = argparse.ArgumentParser()
+    parser.add_argument("--dataset", default="twins")
+    parser.add_argument("--trainx", default="trainx.csv")
+    parser.add_argument("--trainy", default="trainy.csv")
+    parser.add_argument("--traint", default="traint.csv")
+    parser.add_argument("--testx", default="testx.csv")
+    parser.add_argument("--testy", default="testy.csv")
+    parser.add_argument("--testt", default="testt.csv")
+    return parser.parse_args()
+
+
+if __name__ == '__main__':
+
+    args = init_arg()
+    dataset = args.dataset
+    fn_trainx, fn_trainy, fn_traint = args.trainx, args.trainy, args.traint
+    fn_testx, fn_testy, fn_testt = args.testx, args.testy, args.testt
+
+    Test_T = None
+    if dataset == 'twins':
+        train_rate = 0.8
+        fn_twins_csv = utilmlab.get_data_dir() + "/twins/Twin_Data.csv.gz"
+        [Train_X, Train_T, Train_Y, Opt_Train_Y, Test_X, Test_Y] \
+            = Data_Twins(fn_twins_csv, train_rate)
+    elif dataset == 'jobs':
+        fn_jobs_csv = utilmlab.get_data_dir() + "/jobs/Jobs_Lalonde_Data.csv.gz"
+        [Train_X, Train_T, Train_Y, Test_X, Test_T, Test_Y, Train_X_Test,
+         Train_T_Test, Train_Y_Test, Train_No, Test_No, Train_Test_No] \
+         = Data_Jobs(fn_jobs_csv)
+    else:
+        assert 0
+
+    pd.DataFrame(Train_X).to_csv(fn_trainx, index=False)
+    pd.DataFrame(Train_Y).to_csv(fn_trainy, index=False)
+    pd.DataFrame(Train_T).to_csv(fn_traint, index=False)
+    pd.DataFrame(Test_X).to_csv(fn_testx, index=False)
+    pd.DataFrame(Test_Y).to_csv(fn_testy, index=False)
+    if Test_T is not None:
+        pd.DataFrame(Test_T).to_csv(fn_testt, index=False)
diff --git a/alg/ganite/ganite.py b/alg/ganite/ganite.py
new file mode 100644
index 00000000..1e5aaedc
--- /dev/null
+++ b/alg/ganite/ganite.py
@@ -0,0 +1,369 @@
+'''
+GANITE: 
+Jinsung Yoon 10/11/2017
+'''
+import tensorflow as tf
+import numpy as np
+from tqdm import tqdm
+import argparse
+import os
+import json
+import pandas as pd
+import initpath_alg
+initpath_alg.init_sys_path()
+import utilmlab
+
+
+def init_arg():
+    parser = argparse.ArgumentParser()
+    parser.add_argument("--alpha", default=1, type=float)
+    parser.add_argument("--kk", default=10, type=int)
+    parser.add_argument("--it", default=10000, type=int)
+    parser.add_argument("-o", default='./result.json')
+    parser.add_argument('-ocsv')
+    parser.add_argument("--trainx", default="trainx.csv")
+    parser.add_argument("--trainy", default="trainy.csv")
+    parser.add_argument("--traint")
+    parser.add_argument("--testx", default="testx.csv")
+    parser.add_argument("--testy", default="testy.csv")
+    parser.add_argument("--testt")
+    return parser.parse_args()
+
+
+#%% Performance Metrics
+def Perf_RPol_ATT(Test_T, Test_Y, Output_Y):
+    # RPol
+    # Decision of Output_Y
+    hat_t = np.sign(Output_Y[:,1] - Output_Y[:,0])
+    hat_t = (0.5*(hat_t + 1))
+    new_hat_t = np.abs(1-hat_t)
+    
+    # Intersection
+    idx1 = hat_t * Test_T
+    idx0 = new_hat_t  * (1-Test_T)    
+
+    # RPol Computation
+    RPol1 = (np.sum(idx1 * Test_Y)/(np.sum(idx1)+1e-8)) * np.mean(hat_t)  
+    RPol0 = (np.sum(idx0 * Test_Y)/(np.sum(idx0)+1e-8)) * np.mean(new_hat_t) 
+    RPol = 1 - (RPol1 + RPol0)    
+    
+    # ATT   
+    # Original ATT
+    ATT_value = np.sum(Test_T * Test_Y) / (np.sum(Test_T) + 1e-8) - np.sum((1-Test_T) * Test_Y) / (np.sum(1-Test_T) + 1e-8)
+    # Estimated ATT
+    ATT_estimate = np.sum(Test_T * (Output_Y[:,1] - Output_Y[:,0]) ) / (np.sum(Test_T) + 1e-8) 
+    # Final ATT    
+    ATT = np.abs( ATT_value - ATT_estimate )
+    print('pol0:{} pol1:{} pol:{} mean hat:{} mean new hat:{} ATT:{}'.format(RPol0, RPol1, RPol, np.mean(hat_t), np.mean(new_hat_t), ATT))
+    return [RPol, ATT]
+
+
+def PEHE(y, hat_y):
+    e_PEHE = tf.reduce_mean( tf.squared_difference( (y[:,1]-y[:,0]), (hat_y[:,1] - hat_y[:,0]) ))
+    return e_PEHE
+
+
+def ATE(y, hat_y):
+    e_PEHE = tf.abs( tf.reduce_mean( y[:,1]-y[:,0] ) - tf.reduce_mean( hat_y[:,1]-hat_y[:,0] ) )
+    return e_PEHE
+
+
+def xavier_init(size):
+    in_dim = size[0]
+    xavier_stddev = 1. / tf.sqrt(in_dim / 2.)
+    return tf.random_normal(shape = size, stddev = xavier_stddev)
+
+
+# 3.1 Generator
+def generator(x,t,y):
+    inputs = tf.concat(axis = 1, values = [x,t,y])
+    G_h1 = tf.nn.relu(tf.matmul(inputs, G_W1) + G_b1)
+    G_h2 = tf.nn.relu(tf.matmul(G_h1, G_W2) + G_b2)
+    
+    G_h31 = tf.nn.relu(tf.matmul(G_h2, G_W31) + G_b31)
+    G_prob1 = (tf.matmul(G_h31, G_W32) + G_b32)
+    
+    G_h41 = tf.nn.relu(tf.matmul(G_h2, G_W41) + G_b41)
+    G_prob2 = (tf.matmul(G_h41, G_W42) + G_b42)
+    
+    G_prob = tf.nn.sigmoid(tf.concat(axis = 1, values = [G_prob1, G_prob2]))
+    
+    return G_prob
+    
+
+# 3.2. Discriminator
+def discriminator(x,t,y,hat_y):
+    # Factual & Counterfactual outcomes concatenate
+    inp0 = (1.-t) * y + t * tf.reshape(hat_y[:,0], [-1,1])
+    inp1 = t * y + (1.-t) * tf.reshape(hat_y[:,1], [-1,1])
+    
+    inputs = tf.concat(axis = 1, values = [x,inp0,inp1])
+    
+    D_h1 = tf.nn.relu(tf.matmul(inputs, D_W1) + D_b1)
+    D_h2 = tf.nn.relu(tf.matmul(D_h1, D_W2) + D_b2)
+    D_logit = tf.matmul(D_h2, D_W3) + D_b3
+    
+    return D_logit
+
+
+# 3.3. Inference Nets
+def inference(x):
+    I_h1 = tf.nn.relu(tf.matmul(x, I_W1) + I_b1)
+    I_h2 = tf.nn.relu(tf.matmul(I_h1, I_W2) + I_b2)
+    
+    I_h31 = tf.nn.relu(tf.matmul(I_h2, I_W31) + I_b31)
+    I_prob1 = (tf.matmul(I_h31, I_W32) + I_b32)
+    
+    I_h41 = tf.nn.relu(tf.matmul(I_h2, I_W41) + I_b41)
+    I_prob2 = (tf.matmul(I_h41, I_W42) + I_b42)
+    
+    I_prob = tf.nn.sigmoid(tf.concat(axis = 1, values = [I_prob1, I_prob2]))
+    
+    return I_prob
+
+
+# Random sample generator for Z and R
+def sample_Z(m, n):
+    return np.random.uniform(-1., 1., size = [m, n])        
+
+
+def sample_X(X, size):
+    start_idx = np.random.randint(0, X.shape[0], size)
+    return start_idx
+
+
+if __name__ == '__main__':
+
+    args = init_arg()
+
+    fn_trainx, fn_trainy, fn_traint = args.trainx, args.trainy, args.traint
+    fn_testx, fn_testy, fn_testt = args.testx, args.testy, args.testt
+
+    Train_X = pd.read_csv(fn_trainx).values
+    Train_Y = pd.read_csv(fn_trainy).values
+    Train_T = pd.read_csv(fn_traint).values if fn_traint is not None else None
+
+    Test_X = pd.read_csv(fn_testx).values
+    Test_Y = pd.read_csv(fn_testy).values
+    Test_T = pd.read_csv(fn_testt).values if fn_testt is not None else None
+
+    dim_outcome = Test_Y.shape[1]
+
+    fn_json = args.o
+    fn_csv = args.ocsv
+
+    num_iterations = args.it
+
+    mb_size = 256
+    alpha = args.alpha
+    num_kk = args.kk
+
+    Train_No = len(Train_X)
+    Test_No = len(Test_X)
+
+    Dim = len(Train_X[0])
+    H_Dim1 = int(Dim)
+    H_Dim2 = int(Dim)
+
+    tf.reset_default_graph()
+
+
+    #%% 1. Input
+    # 1.1. Feature (X)
+    X = tf.placeholder(tf.float32, shape = [None, Dim])
+    # 1.2. Treatment (T)
+    T = tf.placeholder(tf.float32, shape = [None, 1])
+    # 1.3. Outcome (Y)
+    Y = tf.placeholder(tf.float32, shape = [None, 1])
+    # 1.6. Test Outcome (Y_T) - Potential outcome
+
+    # Y_T = tf.placeholder(tf.float32, shape = [None, 2]) # Twins
+    # Y_T = tf.placeholder(tf.float32, shape = [None, 1]) # Jobs
+    Y_T = tf.placeholder(tf.float32, shape = [None, dim_outcome])
+
+    #%% 2. layer construction
+    # 2.1 Generator Layer
+    G_W1 = tf.Variable(xavier_init([(Dim+2), H_Dim1]))   # Inputs: X + Treatment (1) + Factual Outcome (1) + Random Vector (Z)
+    G_b1 = tf.Variable(tf.zeros(shape = [H_Dim1]))
+
+    G_W2 = tf.Variable(xavier_init([H_Dim1, H_Dim2]))
+    G_b2 = tf.Variable(tf.zeros(shape = [H_Dim2]))
+
+    G_W31 = tf.Variable(xavier_init([H_Dim2, H_Dim2]))
+    G_b31 = tf.Variable(tf.zeros(shape = [H_Dim2]))   # Output: Estimated Potential Outcomes
+
+    G_W32 = tf.Variable(xavier_init([H_Dim2, 1]))
+    G_b32 = tf.Variable(tf.zeros(shape = [1]))   # Output: Estimated Potential Outcomes
+
+    G_W41 = tf.Variable(xavier_init([H_Dim2, H_Dim2]))
+    G_b41 = tf.Variable(tf.zeros(shape = [H_Dim2]))   # Output: Estimated Potential Outcomes
+
+    G_W42 = tf.Variable(xavier_init([H_Dim2, 1]))
+    G_b42 = tf.Variable(tf.zeros(shape = [1]))   # Output: Estimated Potential Outcomes
+
+    theta_G = [G_W1, G_W2, G_W31, G_W32, G_W41, G_W42, G_b1, G_b2, G_b31, G_b32, G_b41, G_b42]
+
+    # 2.2 Discriminator
+    D_W1 = tf.Variable(xavier_init([(Dim+2), H_Dim1]))   # Inputs: X + Factual Outcomes + Estimated Counterfactual Outcomes
+    D_b1 = tf.Variable(tf.zeros(shape = [H_Dim1]))
+
+    D_W2 = tf.Variable(xavier_init([H_Dim1, H_Dim2]))
+    D_b2 = tf.Variable(tf.zeros(shape = [H_Dim2]))
+
+    D_W3 = tf.Variable(xavier_init([H_Dim2, 1]))
+    D_b3 = tf.Variable(tf.zeros(shape = [1]))
+
+    theta_D = [D_W1, D_W2, D_W3, D_b1, D_b2, D_b3]
+
+    # 2.3 Inference Layer
+    I_W1 = tf.Variable(xavier_init([(Dim), H_Dim1]))
+    I_b1 = tf.Variable(tf.zeros(shape = [H_Dim1]))
+
+    I_W2 = tf.Variable(xavier_init([H_Dim1, H_Dim2]))
+    I_b2 = tf.Variable(tf.zeros(shape = [H_Dim2]))
+
+    I_W31 = tf.Variable(xavier_init([H_Dim2, H_Dim2]))
+    I_b31 = tf.Variable(tf.zeros(shape = [H_Dim2]))
+
+    I_W32 = tf.Variable(xavier_init([H_Dim2, 1]))
+    I_b32 = tf.Variable(tf.zeros(shape = [1]))
+
+    I_W41 = tf.Variable(xavier_init([H_Dim2, H_Dim2]))
+    I_b41 = tf.Variable(tf.zeros(shape = [H_Dim2]))
+
+    I_W42 = tf.Variable(xavier_init([H_Dim2, 1]))
+    I_b42 = tf.Variable(tf.zeros(shape = [1]))
+
+    theta_I = [I_W1, I_W2, I_W31, I_W32, I_W41, I_W42, I_b1, I_b2, I_b31, I_b32, I_b41, I_b42]
+
+
+    #%% Structure
+    # 1. Generator
+    Tilde = generator(X,T,Y)
+    # 2. Discriminator
+    D_logit = discriminator(X,T,Y,Tilde)
+    # 3. Inference function
+    Hat = inference(X)
+
+    #%% Loss
+    # 1. Discriminator loss
+    #D_loss = -tf.reduce_mean(T * tf.log(D_prob + 1e-8) + (1. -T) * tf.log(1. - D_prob + 1e-8)) 
+    D_loss = tf.reduce_mean(tf.nn.sigmoid_cross_entropy_with_logits(labels = T, logits = D_logit )) 
+
+    # 2. Generator loss
+    G_loss_GAN = -D_loss 
+
+    G_loss_R = tf.reduce_mean(tf.losses.mean_squared_error(Y, (T * tf.reshape(Tilde[:,1],[-1,1]) + (1. - T) * tf.reshape(Tilde[:,0],[-1,1]) ))) 
+
+    G_loss = G_loss_R + alpha * G_loss_GAN
+
+    # 4. Inference loss
+
+    I_loss1 = tf.reduce_mean(tf.losses.mean_squared_error((T) * Y + (1-T) * tf.reshape(Tilde[:,1],[-1,1]), tf.reshape(Hat[:,1],[-1,1]) )) 
+    I_loss2 = tf.reduce_mean(tf.losses.mean_squared_error((1-T) * Y +  (T) * tf.reshape(Tilde[:,0],[-1,1]), tf.reshape(Hat[:,0],[-1,1]) )) 
+
+    I_loss = I_loss1 + I_loss2
+
+    # Loss Followup    
+    if Test_T is None:
+        Hat_Y = Hat
+        Loss1 = PEHE(Y_T, Hat_Y)
+        Loss2 = ATE(Y_T, Hat_Y)
+
+    #%% Solver
+    G_solver = tf.train.AdamOptimizer().minimize(G_loss, var_list=theta_G)
+    D_solver = tf.train.AdamOptimizer().minimize(D_loss, var_list=theta_D)
+    I_solver = tf.train.AdamOptimizer().minimize(I_loss, var_list=theta_I)
+
+    #%% Sessions
+    sess = tf.Session()
+    sess.run(tf.global_variables_initializer())
+
+    # Iterations
+    # Train G and D first
+    for it in tqdm(range(num_iterations)):
+
+        for kk in range(num_kk):
+            idx_mb = sample_X(Train_X, mb_size) 
+            X_mb = Train_X[idx_mb,:]
+            T_mb = np.reshape(Train_T[idx_mb], [mb_size,1]) 
+            Y_mb = np.reshape(Train_Y[idx_mb], [mb_size,1])   
+
+            _, D_loss_curr = sess.run([D_solver, D_loss], feed_dict = {X: X_mb, T: T_mb, Y: Y_mb})
+
+        idx_mb = sample_X(Train_X, mb_size) 
+        X_mb = Train_X[idx_mb,:]
+        T_mb = np.reshape(Train_T[idx_mb], [mb_size,1]) 
+        Y_mb = np.reshape(Train_Y[idx_mb], [mb_size,1])   
+
+        _, G_loss_curr, Tilde_curr = sess.run([G_solver, G_loss, Tilde], feed_dict = {X: X_mb, T: T_mb, Y: Y_mb})
+
+        #%% Testing
+        if it % 100 == 0:
+            print('Iter: {}'.format(it))
+            print('D_loss: {:.4}'.format((D_loss_curr)))        
+            print('G_loss: {:.4}'.format((G_loss_curr)))    
+            print()
+
+    # Train I and ID
+    result = {}
+    for it in tqdm(range(num_iterations)):
+
+        idx_mb = sample_X(Train_X, mb_size)
+        X_mb = Train_X[idx_mb,:]
+        T_mb = np.reshape(Train_T[idx_mb], [mb_size,1]) 
+        Y_mb = np.reshape(Train_Y[idx_mb], [mb_size,1])   
+
+        _, I_loss_curr = sess.run([I_solver, I_loss], feed_dict = {X: X_mb, T: T_mb, Y: Y_mb})    
+
+        #%% Testing
+        if it % 100 == 0:
+            result = {
+                'alpha': alpha,
+                'kk': num_kk
+            }
+            if Test_T is not None:
+                Hat_curr = sess.run([Hat], feed_dict = {X: Test_X})[0]      
+                [R_Pol_Out, B] = Perf_RPol_ATT(Test_T, Test_Y, Hat_curr)
+
+                print('Iter: {}'.format(it)) 
+                print('I_loss: {:.4}'.format((I_loss_curr)))      
+                print('R_Pol_Out: {:.4}'.format(R_Pol_Out))    
+                print('')
+                result['R_Pol_Out'] = float(R_Pol_Out)
+            else:
+                New_X_mb = Test_X 
+                Y_T_mb = Test_Y           
+
+                Loss1_curr, Loss2_curr, Hat_curr = sess.run([Loss1, Loss2, Hat], feed_dict = {X: New_X_mb, Y_T: Y_T_mb})        
+
+                print('Iter: {}'.format(it)) 
+                print('I_loss: {:.4}'.format((I_loss_curr)))      
+                print('Loss_PEHE_Out: {:.4}'.format(np.sqrt(Loss1_curr)))   
+                print('Loss_ATE_Out: {:.4}'.format(Loss2_curr))   
+                print('')
+                result['Loss_PEHE_Out'] = float(np.sqrt(Loss1_curr))
+                result['Loss_ATE_Out'] = float(Loss2_curr)
+
+    with open(fn_json, "w") as fp:
+        json.dump(result, fp)
+
+    if fn_csv is not None:
+        Hat_curr = sess.run([Hat], feed_dict = {X: Test_X})[0]
+        if Test_T is not None:
+            [R_Pol_Out, B] = Perf_RPol_ATT(Test_T, Test_Y, Hat_curr)
+        df = pd.DataFrame(Hat_curr, columns=['A', 'B'])
+        df.to_csv(fn_csv, index=False)
+
+        odir = os.path.dirname(fn_csv)
+
+        df_test_X = pd.DataFrame(Test_X)
+        df_test_X.to_csv('{}/testx.csv'.format(odir), index=False)
+
+        df_test_Y = pd.DataFrame(Test_Y)
+        df_test_Y.to_csv('{}/testy.csv'.format(odir), index=False)
+
+        if Test_T is not None:
+            df_test_T = pd.DataFrame(Test_T)
+            fn_test1 = '{}/testt.csv'.format(odir)
+            df_test_T.to_csv(fn_test1, index=False)
diff --git a/alg/ganite/ganite_ana.py b/alg/ganite/ganite_ana.py
new file mode 100644
index 00000000..adff827f
--- /dev/null
+++ b/alg/ganite/ganite_ana.py
@@ -0,0 +1,76 @@
+import argparse
+import pandas as pd
+import numpy as np
+import json
+
+
+def Perf_RPol_ATT(Test_T, Test_Y, Output_Y):
+    # RPol
+    # Decision of Output_Y
+    hat_t = np.sign(Output_Y[:,1] - Output_Y[:,0])
+    hat_t = (0.5*(hat_t + 1))
+    new_hat_t = np.abs(1-hat_t)
+    
+    # Intersection
+    idx1 = hat_t * Test_T
+    idx0 = new_hat_t  * (1-Test_T)    
+
+    # RPol Computation
+    RPol1 = (np.sum(idx1 * Test_Y)/(np.sum(idx1)+1e-8)) * np.mean(hat_t)  
+    RPol0 = (np.sum(idx0 * Test_Y)/(np.sum(idx0)+1e-8)) * np.mean(new_hat_t) 
+    RPol = 1 - (RPol1 + RPol0)    
+    
+    # ATT   
+    # Original ATT
+    ATT_value = np.sum(Test_T * Test_Y) / (np.sum(Test_T) + 1e-8) - np.sum((1-Test_T) * Test_Y) / (np.sum(1-Test_T) + 1e-8)
+    # Estimated ATT
+    ATT_estimate = np.sum(Test_T * (Output_Y[:,1] - Output_Y[:,0]) ) / (np.sum(Test_T) + 1e-8) 
+    # Final ATT    
+    ATT = np.abs( ATT_value - ATT_estimate )
+    return [RPol, ATT]
+
+
+def PEHE(y, hat_y):
+    return np.mean((np.square(
+        ((y[:, 1]-y[:, 0])) - (hat_y[:, 1] - hat_y[:, 0]))))
+
+def ATE(y, hat_y):
+    return np.abs(np.mean(
+        y[:, 1]-y[:, 0] ) - np.mean(hat_y[:, 1]-hat_y[:, 0]))
+
+
+def init_arg():
+    parser = argparse.ArgumentParser()
+    parser.add_argument("-i")
+    parser.add_argument("-o")
+    parser.add_argument("--ref")
+    parser.add_argument("--ref_treatment")
+    return parser.parse_args()
+
+
+if __name__ == '__main__':
+
+    args = init_arg()
+
+    fn_json = args.o
+    
+    df_hat = pd.read_csv(args.i)
+    df_ref = pd.read_csv(args.ref)
+    df_ref_treatment = None if args.ref_treatment is None \
+                       else pd.read_csv(args.ref_treatment)
+    y_hat = np.argmax(df_hat.values, axis=1)
+    y_ref = np.argmax(df_ref.values, axis=1)
+
+    result = dict()
+    if df_ref_treatment is None:
+        result['sqrt_PEHE'] = float(np.sqrt(
+            PEHE(df_ref.values, df_hat.values)))
+        result['ATE'] = float(ATE(df_ref.values, df_hat.values))
+    else:
+        result['Perf_RPol_ATT'] = float(Perf_RPol_ATT(
+            df_ref_treatment.values,
+            df_ref.values,
+            df_hat.values)[0])
+    print(result)
+    with open(fn_json, "w") as fp:
+        json.dump(result, fp)
diff --git a/alg/ganite/initpath_alg.py b/alg/ganite/initpath_alg.py
new file mode 100644
index 00000000..20c5a003
--- /dev/null
+++ b/alg/ganite/initpath_alg.py
@@ -0,0 +1,12 @@
+def init_sys_path():
+    import os
+    import sys
+    proj_dir = os.path.abspath(
+        os.path.join(
+            os.path.join(
+                os.path.dirname(os.path.realpath(__file__)),
+                os.pardir),
+            os.pardir))
+    sys.path.append(os.path.join(proj_dir, 'init'))
+    import initpath
+    initpath.platform_init_path(proj_dir)
diff --git a/alg/ganite/test_ganite.py b/alg/ganite/test_ganite.py
new file mode 100644
index 00000000..e7dadca6
--- /dev/null
+++ b/alg/ganite/test_ganite.py
@@ -0,0 +1,152 @@
+'''
+Example/Test script for ganite.
+'''
+import sys
+import os
+import argparse
+import json
+from pathlib import Path
+import initpath_alg
+initpath_alg.init_sys_path()
+import utilmlab
+
+
+def init_arg():
+    parser = argparse.ArgumentParser()
+    parser.add_argument('--exe', help='python interpreter to use')
+    parser.add_argument('--it', default=10000, type=int)
+    parser.add_argument('--kk', default=1)
+    parser.add_argument('--alpha')
+    parser.add_argument('-o')
+    parser.add_argument('--projdir')
+    parser.add_argument('--verify', default=1, type=int)
+    return parser.parse_args()
+
+
+if __name__ == '__main__':
+
+    args = init_arg()
+
+    verify = args.verify
+
+    proj_dir = utilmlab.get_proj_dir() \
+        if args.projdir is None else args.projdir
+
+    fn_json_result_test = args.o
+
+    alg = 'ganite'
+
+    if args.exe is not None:
+        python_exe = args.exe
+    else:
+        python_exe = 'python' if sys.version_info[0] < 3 else 'python3'
+
+    niter = args.it
+    version = 3
+    arg_alpha = args.alpha
+    kk = args.kk
+
+    resdir = '{}/result/{}/v_{}/h_{}'.format(
+        proj_dir,
+        alg,
+        version,
+        os.environ['HOSTNAME'] if 'HOSTNAME' in os.environ else 'unknown')
+
+    utilmlab.ensure_dir(resdir)
+
+    logger = utilmlab.init_logger(resdir, 'log_mtest_{}_ana.txt'.format(alg))
+
+    result_lst = []
+
+    dataset_lst = [
+        ('twins', 0.1),
+        ('jobs', 0.5)]
+
+    script_data = Path('{}/alg/ganite/data_preprocessing_ganite.py'.format(
+        proj_dir))
+    script = Path('{}/alg/ganite/ganite.py'.format(proj_dir))
+    script_ana = Path('{}/alg/ganite/ganite_ana.py'.format(proj_dir))
+
+    for dataset_tpl in dataset_lst:
+
+        dataset, alpha = dataset_tpl
+
+        alpha = alpha if arg_alpha is None else arg_alpha
+
+        odir = '{}/dataset_{}'.format(resdir, dataset)
+
+        fn_trainx = '{}/trainx.csv'.format(odir)
+        fn_trainy = '{}/trainy.csv'.format(odir)
+        fn_traint = '{}/traint.csv'.format(odir)
+        fn_testx = '{}/testx.csv'.format(odir)
+        fn_testy = '{}/testy.csv'.format(odir)
+        fn_testt = '{}/testt.csv'.format(odir)
+        fn_yhat = '{}/yhat.csv'.format(odir)
+
+        if os.path.isfile(fn_testt):
+            os.remove(fn_testt)
+            
+        utilmlab.ensure_dir(odir)
+
+        fn_json_result_dataset = '{}/result.json'.format(odir)
+        fn_json_result_dataset_ana = '{}/result_ana.json'.format(odir)
+
+        utilmlab.exe_cmd(
+            logger,
+            '{} {} --dataset {} '
+            '--trainx {} --trainy {} --traint {} '
+            '--testx {} --testy {} --testt {}'.format(
+                python_exe, script_data, dataset,
+                fn_trainx, fn_trainy, fn_traint,
+                fn_testx, fn_testy, fn_testt))
+
+        arg_testt = '--testt {}'.format(fn_testt) \
+            if os.path.isfile(fn_testt) else ''
+        arg_reftreatment = '--ref_treatment {}'.format(fn_testt) \
+            if os.path.isfile(fn_testt) else ''
+
+        utilmlab.exe_cmd(
+            logger,
+            '{} {} -o {} --alpha {} '
+            ' --it {} --kk {} -ocsv {} '
+            '--trainx {} --trainy {} --traint {} '
+            '--testx {} --testy {} {}'.format(
+                python_exe, script, fn_json_result_dataset,
+                alpha, niter, kk, fn_yhat,
+                fn_trainx, fn_trainy, fn_traint,
+                fn_testx, fn_testy, arg_testt))
+
+        with open(fn_json_result_dataset) as f:
+            result_d = json.load(f)
+
+        result_d['dataset'] = dataset
+
+        utilmlab.exe_cmd(
+            logger,
+            '{} {} -o {} -i {} --ref {} {}'.format(
+                python_exe, script_ana, fn_json_result_dataset_ana,
+                fn_yhat, fn_testy, arg_reftreatment))
+
+        with open(fn_json_result_dataset_ana) as f:
+            result_d_ana = json.load(f)
+
+        result_d['ana'] = result_d_ana
+        result_lst.append(result_d)
+
+    logger.info('\n\nOverview result {}:\n'.format(alg))
+
+    for el in result_lst:
+        logger.info('{}'.format(el))
+
+    if fn_json_result_test is not None:
+        d = {
+            'result': result_lst
+        }
+        with open(fn_json_result_test, "w") as fp:
+            json.dump(d, fp)
+
+    if verify:
+        for el in result_lst:
+            if el['dataset'] == 'twins':
+                res = el['ana']
+                assert 0.28 < res['sqrt_PEHE'] and res['sqrt_PEHE'] < 0.31
diff --git a/alg/ganite/tutorial_ganite.ipynb b/alg/ganite/tutorial_ganite.ipynb
new file mode 100644
index 00000000..253076e8
--- /dev/null
+++ b/alg/ganite/tutorial_ganite.ipynb
@@ -0,0 +1,87 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Ganite\n",
+    "\n",
+    "This tutorial shows how to use Ganite to estimate treatment effects. Follow link [GANITE](https://openreview.net/forum?id=ByKWUeWA-) for more details. We are using the [Twins](https://www.nber.org/data/linked-birth-infant-death-data-vital-statistics-data.html) dataset as an example.\n",
+    "\n",
+    "Preprocess and prepare the dataset for Ganite:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "trnx,trny, trnt = 'trainx.csv', 'trainy.csv', 'traint.csv'\n",
+    "tstx,tsty, tstt = 'testx.csv', 'testy.csv', 'testt.csv'\n",
+    "yhat = './yhat.csv'\n",
+    "ds = 'twins'\n",
+    "python_exe = 'python3'\n",
+    "\n",
+    "!{python_exe} data_preprocessing_ganite.py --dataset {ds}  --trainx {trnx} --trainy {trny} --traint {trnt} --testx {tstx} --testy {tsty} --testt {tstt}"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Run Ganite:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "it = 1000\n",
+    "\n",
+    "!{python_exe} ganite.py --it {it} -ocsv {yhat} --trainx {trnx} --trainy {trny} --traint {trnt} --testx {tstx} --testy {tsty}"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Show estimated treatment effects"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "df = pd.read_csv(yhat)\n",
+    "df.head()"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.2"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/alg/gcit/GCIT.py b/alg/gcit/GCIT.py
new file mode 100644
index 00000000..3a33d08e
--- /dev/null
+++ b/alg/gcit/GCIT.py
@@ -0,0 +1,321 @@
+# %% Necessary Packages
+import tensorflow as tf
+import numpy as np
+import matplotlib.pyplot as plt
+from scipy import stats
+from utils import *
+
+
+# %% GCIT Function
+'''
+Inputs:
+ - z: Confounder variables, this is the conditioning set
+ - x: First target variable
+ - y: Second target variable
+
+Hyper-parameters (=Default values)
+ - mu: WGAN parameter = 1
+ - eta: WGAN regularization parameter = 10
+ - lamda: Information network parameter = 10
+ - statistic: sets the comparison function between generated and true samples (rho in the algorithm pseudocode)
+
+'''
+
+def GCIT(x, y, z, statistic = "rdc", lamda = 10, normalize=True, verbose=False, n_iter=1000,debug=False):
+
+    if normalize:
+        z = (z - z.min()) / (z.max() - z.min())
+        x = (x - x.min()) / (x.max() - x.min())
+        y = (y - y.min()) / (y.max() - y.min())
+
+    # %% Parameters
+    # 1. # of samples
+    n = len(z[:, 0])
+
+    # define training and testing subsets, training for learning the sampler and 
+    # testing for computing test statistic. Set 2/3 and 1/3 as default
+    x_train, y_train, z_train = x[:int(2*n/3),], y[:int(2*n/3),], z[:int(2*n/3),] 
+    x_test, y_test, z_test = x[int(2*n/3):,], y[int(2*n/3):,], z[int(2*n/3):,] 
+
+    n = len(z_train[:, 0])
+    
+    # 2. # of confounders
+    z_dim = len(z_train[0, :])
+
+    # 3. # of target variables of interest (can be changed if needed)
+    x_dim = 1
+
+    # 3. # of random and hidden dimensions
+    if z_dim <= 20:
+        v_dim = int(3)
+        h_dim = int(3)
+
+    else:
+        v_dim = int(z_dim / 10)
+        h_dim = int(z_dim / 10)
+
+    # 4. size of minibatch
+    mb_size = 64
+
+    # 5. WGAN parameters
+    eta = 10
+    lr = 1e-4
+
+    # %% Necessary Functions
+
+    # 1. Xavier Initialization Definition
+    def xavier_init(size):
+        in_dim = size[0]
+        xavier_stddev = 1. / tf.sqrt(in_dim / 2.)
+        return tf.random.normal(shape=size, stddev=xavier_stddev)
+
+    # 2. Sample from normal distribution: Random variable generation
+    def sample_V(m, n):
+        #out = np.random.rand(m, n)
+        #out = np.random.laplace(loc=0.0, scale=1.0, size=n * m)
+        #out = np.reshape(out, (m, n))
+        out = np.random.normal(0., np.sqrt(1. / 3), size=[m, n])
+        return out
+
+    # 3. Sample from the real data (Mini-batch index sampling)
+    def sample_Z(m, n):
+        return np.random.permutation(m)[:n]
+
+    # 4. Permutation for MINE computation
+    def Permute(x):
+        n = len(x)
+        idx = np.random.permutation(n)
+        out = x[idx]
+        return out
+
+
+    # %% Placeholders
+
+    # 1. Target Feature
+    X = tf.compat.v1.placeholder(tf.float32, shape=[None, x_dim])
+    # 2. Target Permuted Feature
+    X_hat = tf.compat.v1.placeholder(tf.float32, shape=[None, x_dim])
+    # 3. Random Variable V
+    V = tf.compat.v1.placeholder(tf.float32, shape=[None, v_dim])
+    # 3. Confounder Z
+    Z = tf.compat.v1.placeholder(tf.float32, shape=[None, z_dim])
+
+    # %% Network Building
+
+    # %% 1. WGAN Discriminator 
+    # - one hidden layer as default even though more may be needed for complex data generation processes
+    WD_W1 = tf.Variable(xavier_init([x_dim + z_dim, h_dim]))
+    WD_b1 = tf.Variable(tf.zeros(shape=[h_dim]))
+
+    WD_W2 = tf.Variable(xavier_init([h_dim, h_dim]))
+    WD_b2 = tf.Variable(tf.zeros(shape=[h_dim]))
+
+    WD_W3 = tf.Variable(xavier_init([h_dim, x_dim]))
+    WD_b3 = tf.Variable(tf.zeros(shape=[x_dim]))
+
+    theta_WD = [WD_W1, WD_W3, WD_b1, WD_b3]
+
+    # %% 2. Generator
+    # Input: Z and V
+    G_W1 = tf.Variable(xavier_init([z_dim + v_dim, h_dim]))
+    G_b1 = tf.Variable(tf.zeros(shape=[h_dim]))
+
+    G_W2 = tf.Variable(xavier_init([h_dim, h_dim]))
+    G_b2 = tf.Variable(tf.zeros(shape=[h_dim]))
+
+    G_W3 = tf.Variable(xavier_init([h_dim, x_dim]))
+    G_b3 = tf.Variable(tf.zeros(shape=[x_dim]))
+
+    theta_G = [G_W1, G_W3, G_b1, G_b3]
+
+    # %% 3. MINE
+    # Input: X and tilde X
+    # For X
+    M_W1A = tf.Variable(xavier_init([x_dim]))
+    M_W1B = tf.Variable(xavier_init([x_dim]))
+    M_b1 = tf.Variable(tf.zeros(shape=[x_dim]))
+
+    # For tilde X
+    M_W2A = tf.Variable(xavier_init([x_dim]))
+    M_W2B = tf.Variable(xavier_init([x_dim]))
+    M_b2 = tf.Variable(tf.zeros(shape=[x_dim]))
+
+    # Combine
+    M_W3 = tf.Variable(xavier_init([x_dim]))
+    M_b3 = tf.Variable(tf.zeros(shape=[x_dim]))
+
+    theta_M = [M_W1A, M_W1B, M_W2A, M_W2B, M_W3, M_b1, M_b2, M_b3]
+
+    # %% Functions
+    # 1. Generator
+    def generator(z, v):
+        inputs = tf.concat(axis=1, values=[z, v])
+        G_h1 = tf.nn.tanh(tf.matmul(inputs, G_W1) + G_b1)
+        #G_h2 = tf.nn.tanh(tf.matmul(G_h1, G_W2) + G_b2)
+        #G_out = tf.nn.sigmoid(tf.matmul(G_h2, G_W3) + G_b3)
+
+        G_out = tf.nn.sigmoid(tf.matmul(G_h1, G_W3) + G_b3)
+
+        return G_out
+
+    # 2. WGAN Discriminator
+    def WGAN_discriminator(x, z):
+        inputs = tf.concat(axis=1, values=[x, z])
+        WD_h1 = tf.nn.relu(tf.matmul(inputs, WD_W1) + WD_b1)
+        #WD_h2 = tf.nn.relu(tf.matmul(WD_h1, WD_W2) + WD_b2)
+        #WD_out = (tf.matmul(WD_h2, WD_W3) + WD_b3)
+
+        WD_out = (tf.matmul(WD_h1, WD_W3) + WD_b3)
+
+        return WD_out
+
+    # 3. MINE
+    def MINE(x, x_hat):
+        M_h1 = tf.nn.tanh(M_W1A * x + M_W1B * x_hat + M_b1)
+        M_h2 = tf.nn.tanh(M_W2A * x + M_W2B * x_hat + M_b2)
+        M_out = (M_W3 * (M_h1 + M_h2) + M_b3)
+
+        Exp_M_out = tf.exp(M_out)
+
+        return M_out, Exp_M_out
+
+    # %% Combination across the networks
+    # 1. Generator
+    G_sample = generator(Z, V)
+
+    # 2. WGAN Outputs for real and fake
+    WD_real = WGAN_discriminator(X, Z)
+    WD_fake = WGAN_discriminator(G_sample, Z)
+
+    # 3. MINE Computation
+    # Without permutation
+    M_out, _ = MINE(X, G_sample)
+    # With permutation
+    _, Exp_M_out = MINE(X_hat, G_sample)
+
+    # 4. WGAN Loss Replacement of Clipping algorithm to Penalty term
+    eps = tf.random.uniform([mb_size, 1], minval=0., maxval=1.)
+    X_inter = eps * X + (1. - eps) * G_sample
+
+    grad = tf.gradients(WGAN_discriminator(X_inter, Z), [X_inter])[0]
+    grad_norm = tf.sqrt(tf.reduce_sum((grad) ** 2 + 1e-8, axis=1))
+    grad_pen = eta * tf.reduce_mean((grad_norm - 1) ** 2)
+
+    # %% Loss function
+    # 1. WGAN Loss, aim to make WD_fake small and WD_real big
+    WD_loss = tf.reduce_mean(WD_fake) - tf.reduce_mean(WD_real) + grad_pen
+
+    # 2. MINE Loss
+    M_loss = lamda * (tf.reduce_sum(tf.reduce_mean(M_out, axis=0) - \
+                                    tf.math.log(tf.reduce_mean(Exp_M_out, axis=0))))
+
+    # 3. Generator loss, aim make WD_fake high
+    G_loss = -tf.reduce_mean(WD_fake) + lamda * M_loss
+
+    # Solver
+    WD_solver = (tf.compat.v1.train.AdamOptimizer(learning_rate=lr, beta1=0.5).minimize(WD_loss, \
+                                                                                        var_list=theta_WD))
+    G_solver = (tf.compat.v1.train.AdamOptimizer(learning_rate=lr, beta1=0.5).minimize(G_loss, var_list=theta_G))
+    M_solver = (tf.compat.v1.train.AdamOptimizer(learning_rate=lr, beta1=0.5).minimize(-M_loss, var_list=theta_M))
+
+    # %% Sessions
+    sess = tf.compat.v1.Session()
+    sess.run(tf.global_variables_initializer())
+
+    Generator_loss = []
+    Mine_loss = []
+    WDiscriminator_loss = []
+
+    # %% Iterations
+    for it in range(n_iter):
+
+        for _ in range(5):
+            # %% WGAN and MINE Training
+
+            # Random variable generation
+            V_mb = sample_V(mb_size, v_dim)
+
+            # Minibatch sampling
+            Z_idx = sample_Z(n, mb_size)
+            Z_mb = z_train[Z_idx, :]
+            X_mb = x_train[Z_idx]
+            X_perm_mb = Permute(X_mb)
+
+            # 1. WGAN Training
+            _, WD_loss_curr = sess.run([WD_solver, WD_loss], \
+                                       feed_dict={X: X_mb, Z: Z_mb, V: V_mb, X_hat: X_perm_mb})
+            # 2. MINE Training
+            _, M_loss_curr = sess.run([M_solver, M_loss], \
+                                      feed_dict={X: X_mb, Z: Z_mb, V: V_mb, X_hat: X_perm_mb})
+
+        # Random variable generation
+        V_mb = sample_V(mb_size, v_dim)
+
+        # Minibatch sampling
+        Z_idx = sample_Z(n, mb_size)
+        Z_mb = z_train[Z_idx, :]
+        X_mb = x_train[Z_idx]
+        X_perm_mb = Permute(X_mb)
+
+        # Generator training
+        _, G_loss_curr = sess.run([G_solver, G_loss], feed_dict={X: X_mb, Z: Z_mb, V: V_mb, X_hat: X_perm_mb})
+
+        Generator_loss.append(G_loss_curr)
+        WDiscriminator_loss.append(WD_loss_curr)
+        Mine_loss.append(M_loss_curr)
+
+        # %% Intermediate Losses
+        if verbose and it % 499 == 0:
+            print('Iter: {}'.format(it))
+            print('Generator_loss: {:.4}'.format(G_loss_curr))
+            print('WD_loss: {:.4}'.format(WD_loss_curr))
+            print('M_loss: {:.4}'.format(M_loss_curr))
+            print()
+            
+        # stop training if discriminator loss is sufficiently low (heuristic)
+        if abs(WD_loss_curr) < 0.1:
+            break
+            
+    if verbose:
+        # plot training losses
+        plt.plot(range(n_iter), WDiscriminator_loss, range(n_iter), Generator_loss, range(n_iter), Mine_loss)
+        plt.legend(('WGAN Discriminator', 'Generator', 'MINE'),
+                   loc='upper right')
+        plt.title('Training losses')
+        plt.tight_layout()
+        plt.show()
+
+    # %% Compute test statistic
+    # 1. Number of samples for null computation
+    n_samples = 1000
+    rho = []
+
+    # 2. Choice of statistic
+    if statistic == "corr":
+        stat = correlation
+    if statistic == "mmd":
+        stat = mmd_squared
+    if statistic == "kolmogorov":
+        stat = kolmogorov
+    if statistic == "wilcox":
+        stat = wilcox
+    if statistic == "rdc":
+        stat = rdc
+   
+    # 3. Generate and collect samples on testing data
+    for sample in range(n_samples):
+        x_hat = sess.run([G_sample], feed_dict={Z: z_test, V: sample_V(len(z_test[:, 0]), v_dim)})[0]
+        rho.append(stat(x_hat, y_test))
+
+    # 4. p-value computation as a two-sided test
+    p_value = min(sum(rho < stat(x_test.reshape(len(x_test)), y_test)) / n_samples,
+                  sum(rho > stat(x_test.reshape(len(x_test)), y_test)) / n_samples)
+
+    
+    if debug:
+        print('Statistics of x_hat ', stats.describe(x_hat))
+        print('Statistics of x_train ',stats.describe(x_test))
+        print('Statistics of generated rho ', stats.describe(rho))
+        print('Observed rho',stat(x_test.reshape(len(x_test)), y_test))
+
+    return(p_value)
diff --git a/alg/gcit/LICENSE b/alg/gcit/LICENSE
new file mode 100644
index 00000000..83402640
--- /dev/null
+++ b/alg/gcit/LICENSE
@@ -0,0 +1,21 @@
+MIT License
+
+Copyright (c) 2019 Alexis Bellot
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
diff --git a/alg/gcit/README.md b/alg/gcit/README.md
new file mode 100644
index 00000000..8b986238
--- /dev/null
+++ b/alg/gcit/README.md
@@ -0,0 +1,14 @@
+# Conditional Independence Testing with Generative Adversarial Networks
+
+This is a python implementation of the algorithm in the paper ["Conditional Independence Testing with Generative Adversarial Networks"](https://arxiv.org/pdf/1907.04068.pdf). The goal of this project is to test conditional independence between variable sets X and Y conditional on Z. It contains synthetic data generation to understand the behaviour of our test in various settings. 
+
+*Please cite the above paper if this resource is used in any publication*
+
+## Dependencies
+The only significant dependencies are python 3.6 or later. It is known to work with tensorflow 1.13.1.
+
+## First steps
+To get started, check *tutorial_gcit.ipynb* which will guide you through the test from the beginning. 
+
+## Use case on genetic data
+We include in the *CCLE Experiments* folder the code used in the real data experiment on Section 5 of the main body of this paper. The folder includes the data used and a simple script to test conditional independence of each feature and drug response given all other features.
diff --git a/alg/gcit/ccle_experiments/README.md b/alg/gcit/ccle_experiments/README.md
new file mode 100644
index 00000000..4261cf48
--- /dev/null
+++ b/alg/gcit/ccle_experiments/README.md
@@ -0,0 +1,14 @@
+# Example of the GCIT applied to the Cancer Cell Line Encyclopedia
+
+## References 
+- Barretina, J., Caponigro, G., Stransky, N., Venkatesan, K., Margolin, A. A., Kim, S., ... & Reddy, A. (2012). The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity. Nature, 483(7391), 603.
+- Tansey, Wesley, et al. "The holdout randomization test: Principled and easy black box feature selection." arXiv preprint arXiv:1811.00645 (2018).
+
+To run the code you will need to download the following data sets: [Response data](https://www.dropbox.com/s/eb60o4cviblzk5k/response.csv?dl=0), [Mutation data](https://www.dropbox.com/s/pyks91zh4zj466j/mutation.txt?dl=0), [Expression data](https://www.dropbox.com/s/jent2ys5tvgar2f/expression.txt?dl=0)
+
+Pre-processing steps follow the code in https://github.com/tansey/hrt.
+
+## Usage
+```
+python3 ccle_experiment.py
+```
diff --git a/alg/gcit/ccle_experiments/ccle_experiment.py b/alg/gcit/ccle_experiments/ccle_experiment.py
new file mode 100644
index 00000000..e384c9fa
--- /dev/null
+++ b/alg/gcit/ccle_experiments/ccle_experiment.py
@@ -0,0 +1,223 @@
+'''
+This code reproduces the real data experiments using the CCLE data.
+Preprocessing steps follow the code of W. Tansey at https://github.com/tansey/hrt.
+'''
+
+import numpy as np
+import pandas as pd
+from scipy import stats
+import matplotlib.pyplot as plt
+import os
+import sys
+from pathlib import Path
+import initpath_alg
+initpath_alg.init_sys_path()
+import utilmlab
+
+
+def add_parent_dir_to_sys_path():
+    file = Path(__file__).resolve()
+    parent, root = file.parent, file.parents[1]
+    sys.path.append(str(root))
+
+
+add_parent_dir_to_sys_path()
+from GCIT import GCIT
+
+
+def get_data_file_name(basename):
+    for fn in [
+            basename,
+            basename + '.gz',
+            'data/' + basename,
+            'data/' + basename + '.gz',
+            utilmlab.get_proj_dir() + '/alg/gcit/ccle_experiments/data/' + basename,
+            utilmlab.get_proj_dir() + '/alg/gcit/ccle_experiments/data/' + basename + '.gz']:
+        if os.path.isfile(fn):
+            return fn
+    print(f'***')
+    print(f'*** Error: cannot find file {basename}, see README.md of how'
+          'to obtain the required data ***')
+    print(f'***')
+    assert 0
+
+
+def load_ccle(drug_target='PLX4720', feature_type='both', normalize=False):
+    '''
+    :param drug target: specific drug we want to analyse
+    :param normalize: normalize data
+    :return: genetic features (mutations) as a 2d array for each cancer cell and corresponding drug response measured with Amax
+    '''
+    if feature_type in ['expression', 'both']:
+        # Load gene expression
+        expression = pd.read_csv(get_data_file_name('expression.txt'), delimiter='\t', header=2, index_col=1).iloc[:, 1:]
+        expression.columns = [c.split(' (ACH')[0] for c in expression.columns]
+        features = expression
+    if feature_type in ['mutation', 'both']:
+        # Load gene mutation
+        mutations = pd.read_csv(get_data_file_name('mutation.txt'), delimiter='\t', header=2, index_col=1).iloc[:,1:]
+        mutations = mutations.iloc[[c.endswith('_MUT') for c in mutations.index]]
+        features = mutations
+    if feature_type == 'both':
+        # get cells having both expression and mutation data
+        both_cells = set(expression.columns) & set(mutations.columns)
+        z = {}
+        for c in both_cells:
+            exp = expression[c].values
+            if len(exp.shape) > 1:
+                exp = exp[:, 0]
+            z[c] = np.concatenate([exp, mutations[c].values])
+        both_df = pd.DataFrame(z, index=[c for c in expression.index] + [c for c in mutations.index])
+        features = both_df
+
+    print('Genetic features dimension = {} on {} cancer cells'.format(features.shape[0],features.shape[1]))
+
+    # Get per-drug X and y regression targets
+    response = pd.read_csv(get_data_file_name('response.csv'), header=0, index_col=[0,2])
+
+    # names of cell lines, there are 504
+    cells = response.index.levels[0]
+    # names of drugs, there are 24
+    drugs = response.index.levels[1]
+
+    X_drugs = [[] for _ in drugs]
+    y_drugs = [[] for _ in drugs]
+
+    # subset data to include only cells, mutations and response associated with chosen drug
+    for j,drug in enumerate(drugs):
+            if drug_target is not None and drug != drug_target:
+                continue # return to beginning of the loop
+            for i,cell in enumerate(cells):
+                if cell not in features.columns or (cell, drug) not in response.index:
+                    continue
+                # all j empty except index that corresponds to target drug
+                # for this j we iteratively append all the mutations on every cell
+                X_drugs[j].append(features[cell].values) # store genetic features (mutations and expression) that appear in cells
+                y_drugs[j].append(response.loc[(cell,drug), 'Amax']) # store response of the drug
+            print('{}: Cell number = {}'.format(drug, len(y_drugs[j])))
+
+    # convert to np array
+    X_drugs = [np.array(x_i) for x_i in X_drugs]
+    y_drugs = [np.array(y_i) for y_i in y_drugs]
+
+    if normalize:
+            X_drugs = [(x_i if (len(x_i) == 0) else (x_i - x_i.mean(axis=0,keepdims=True)) / x_i.std(axis=0).clip(1e-6)) for x_i in X_drugs]
+            y_drugs = [(y_i if (len(y_i) == 0 or y_i.std() == 0) else (y_i - y_i.mean()) / y_i.std()) for y_i in y_drugs]
+
+    drug_idx = drugs.get_loc(drug_target)
+    # 2d array for features and 1d array for response
+    X_drug, y_drug = X_drugs[drug_idx], y_drugs[drug_idx]
+
+    return X_drug, y_drug, features
+
+
+X_drug, y_drug, features = load_ccle(feature_type='mutation')
+
+def ccle_feature_filter(X, y, threshold=0.1):
+    '''
+    :param X: features
+    :param y: response
+    :param threshold: correlation threshold
+    :return: logical array with False for all features that do not have at least pearson correlation at threshold with y
+    and correlations for all variables
+    '''
+    corrs = np.array([np.abs(np.corrcoef(x, y)[0,1]) if x.std() > 0 else 0 for x in X.T])
+    selected = corrs >= threshold # True/False
+    print(selected.sum(), selected.shape, corrs)
+    return selected, corrs
+
+ccle_selected, corrs = ccle_feature_filter(X_drug, y_drug, threshold=0.1)
+
+features.index[ccle_selected]
+stats.describe(corrs[ccle_selected])
+
+def fit_elastic_net_ccle(X, y, nfolds=3):
+    '''
+    :param X: features
+    :param y: response
+    :param nfolds: number of folds for hyperparameter tuning
+    :return: fitted elastic net model
+    '''
+    from sklearn.linear_model import ElasticNetCV
+    # The parameter l1_ratio corresponds to alpha in the glmnet R package
+    # while alpha corresponds to the lambda parameter in glmnet
+    # enet = ElasticNetCV(l1_ratio=np.linspace(0.2, 1.0, 10),
+    #                     alphas=np.exp(np.linspace(-6, 5, 250)),
+    #                     cv=nfolds)
+    enet = ElasticNetCV(l1_ratio=0.2, # It always chooses l1_ratio=0.2
+                        alphas=np.exp(np.linspace(-6, 5, 250)),
+                        cv=nfolds)
+    print('Fitting via CV')
+    enet.fit(X,y)
+    alpha, l1_ratio = enet.alpha_, enet.l1_ratio_
+    print('Chose values: alpha={}, l1_ratio={}'.format(alpha, l1_ratio))
+    return enet
+
+elastic_model = fit_elastic_net_ccle(X_drug[:,ccle_selected], y_drug)
+
+def fit_random_forest_ccle(X, y):
+    '''
+    :param X: features
+    :param y: response
+    :param nfolds: number of folds for hyperparameter tuning
+    :return: fitted elastic net model
+    '''
+    from sklearn.ensemble import RandomForestRegressor
+
+    rf = RandomForestRegressor()
+
+    rf.fit(X,y)
+
+    return rf
+
+rf_model = fit_random_forest_ccle(X_drug[:,ccle_selected], y_drug)
+
+def plot_ccle_predictions(model, X, y):
+    from sklearn.metrics import r2_score
+    plt.close()
+    y_hat = model.predict(X)
+    plt.scatter(y_hat, y, color='blue')
+    plt.plot([min(y.min(), y_hat.min()),max(y.max(), y_hat.max())], [min(y.min(), y_hat.min()),max(y.max(), y_hat.max())], color='red', lw=3)
+    plt.xlabel('Predicted')
+    plt.ylabel('Truth')
+    plt.title(' ($r^2$={:.4f})'.format( r2_score(y, y_hat)))
+    plt.tight_layout()
+
+
+
+plot_ccle_predictions(elastic_model,X_drug[:,ccle_selected],y_drug)
+
+def print_top_features(model):
+    # model_weights = np.mean([m.coef_ for m in model.models], axis=0)
+    if model == rf_model:
+        model_weights = model.feature_importances_
+    else:
+        model_weights = model.coef_
+
+    ccle_features = features[ccle_selected]
+
+    print('Top by fit:')
+    for idx, top in enumerate(np.argsort(np.abs(model_weights))[::-1]):
+        print('{}. {}: {:.4f}'.format(idx+1, ccle_features.index[top], model_weights[top]))
+
+print_top_features(rf_model)
+print_top_features(elastic_model)
+
+def run_test_ccle(X,Y):
+
+    pval = []
+    for x_index in range(X.shape[1]):
+        z = np.delete(X, x_index, axis=1)
+        x = X[:,x_index]
+        x = x.reshape((len(x), 1))
+        Y = Y.reshape((len(Y),1))
+        # now run test
+        pval.append(GCIT(x,Y,z))
+
+    ccle_features = features[ccle_selected]
+
+    print('Top by fit:')
+    for idx, top in enumerate(np.argsort(np.abs(pval))):
+        print('{}. {}: {:.4f}'.format(idx+1, ccle_features.index[top], pval[top]))
+
+run_test_ccle(X_drug[:,ccle_selected],y_drug)
diff --git a/alg/gcit/ccle_experiments/initpath_alg.py b/alg/gcit/ccle_experiments/initpath_alg.py
new file mode 100644
index 00000000..8743407c
--- /dev/null
+++ b/alg/gcit/ccle_experiments/initpath_alg.py
@@ -0,0 +1,11 @@
+def init_sys_path():
+    import os
+    import sys
+    depth = 3
+    path = os.path.dirname(os.path.realpath(__file__))
+    for d in range(depth):
+        path = os.path.join(path, os.pardir)
+    proj_dir = os.path.abspath(path)
+    sys.path.append(os.path.join(proj_dir, 'init'))
+    import initpath
+    initpath.platform_init_path(proj_dir)
diff --git a/alg/gcit/initpath_alg.py b/alg/gcit/initpath_alg.py
new file mode 100644
index 00000000..c6272959
--- /dev/null
+++ b/alg/gcit/initpath_alg.py
@@ -0,0 +1,11 @@
+def init_sys_path():
+    import os
+    import sys
+    depth = 2
+    path = os.path.dirname(os.path.realpath(__file__))
+    for d in range(depth):
+        path = os.path.join(path, os.pardir)
+    proj_dir = os.path.abspath(path)
+    sys.path.append(os.path.join(proj_dir, 'init'))
+    import initpath
+    initpath.platform_init_path(proj_dir)
diff --git a/alg/gcit/test_gcit.py b/alg/gcit/test_gcit.py
new file mode 100644
index 00000000..7cf5a8bd
--- /dev/null
+++ b/alg/gcit/test_gcit.py
@@ -0,0 +1,63 @@
+'''
+Example/Test script for pategan.
+'''
+import sys
+import os
+import argparse
+import json
+from pathlib import Path
+import initpath_alg
+initpath_alg.init_sys_path()
+import utilmlab
+
+
+def init_arg():
+    parser = argparse.ArgumentParser()
+    parser.add_argument('--exe', help='python interpreter to use')
+    parser.add_argument('--projdir')
+    parser.add_argument('-o')
+    return parser.parse_args()
+
+
+if __name__ == '__main__':
+
+    args = init_arg()
+
+    proj_dir = utilmlab.get_proj_dir() \
+        if args.projdir is None else args.projdir
+
+    if not os.path.isfile(
+            '{}/alg/gcit/ccle_experiments/data/mutation.txt.gz'.format(proj_dir)):
+        print('warning: data files for ccle_experiments not found')
+        sys.exit(0)
+        
+    alg = 'gcit'
+    version = 1
+    if args.exe is not None:
+        python_exe = args.exe
+    else:
+        python_exe = 'python' if sys.version_info[0] < 3 else 'python3'
+
+    if args.o is None:
+        resdir = '{}/result/{}/v_{}/h_{}'.format(
+            proj_dir,
+            alg,
+            version,
+            os.environ['HOSTNAME'] if 'HOSTNAME' in os.environ else 'unknown')
+    else:
+        resdir = args.o
+
+    utilmlab.ensure_dir(resdir)
+
+    logger = utilmlab.init_logger(resdir, 'log_test_{}.txt'.format(alg))
+
+    script = Path('{}/alg/gcit/ccle_experiments/'
+                  'ccle_experiment.py'.format(proj_dir))
+
+    odir = resdir
+    
+    utilmlab.exe_cmd(
+        logger,
+        '{} {}'.format(
+            python_exe,
+            script))
diff --git a/alg/gcit/tutorial_gcit.ipynb b/alg/gcit/tutorial_gcit.ipynb
new file mode 100644
index 00000000..779b1321
--- /dev/null
+++ b/alg/gcit/tutorial_gcit.ipynb
@@ -0,0 +1,155 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Example use case of the Generative Conditional Independence Test\n",
+    "\n",
+    "This notebook provides a simple use case of the Generative Conditional Independence Test for testing independence of two variables given we know about other variables that may be related to our quantities of interest. Please find more details the paper *\"Conditional Independence Testing using Generative Adversarial Networks\"* by *Alexis Bellot and Mihaela van der Schaar*. "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## What is the Generative Conditional Independence Test?"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Conditional independence tests are concerned with the question of whether two variables $X$ and $Y$ behave independently of each other, after accounting for the effect of confounders $Z$. Such questions can be written as a hypothesis testing problem: $\\mathcal H_0: X\\indep Y|Z $ versus the general alternative of no independence. A conditional independence test, given a significance level, determines whether to reject or not the null hypothesis $\\mathcal H_0$."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "A number of studies have shown such tests to fail when a large number of variables $Z$ confound the relationship between $X$ and $Y$. This work describes a test that is empirically more robust and whose performance guarantees do not depend on the number of variables involved."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Our test is based on a modification of Generative Adversarial Networks (GANs) that simulates from a distribution under the assumption of conditional independence, while maintaining good power in high dimensional data. In our procedure, after training, the first step involves simulating from our network to generate data sets consistent with $\\mathcal H_0$. We then define a test statistic to capture the $X-Y$ dependency in each sample and compute an empirical distribution which approximates the behaviour of the statistic under $\\mathcal H_0$ and can be directly compared to the statistic observed on the real data to make a decision. "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Let us first generate some data from the GCIT.data_utils module in GCIT as follows:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from utils import *\n",
+    "\n",
+    "x, y, z = generate_samples_random(size=500, sType='CI', dx=1, dy=1, dz=100,fixed_function='nonlinear', dist_z='gaussian')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Here we sample gaussian random variables transformed through non-linear functions, such that $Y$ depends on both $X$ and $Z$."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Now, can we say whether there is an independent relationship between $X$ and $Y$ that is not due to $Z$?"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "To answer this question, the GCIT takes into account the associations of $Z$ and $Y$ separately to mimic a setting where the null hypothesis holds, i.e. $X$ is irrelevant for inferring $Y$, and then compares this synthetic setting to the actual observations. To arrive at a *p-value* we simply call GCIT with arguments the arrays of data variables as follows:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from GCIT import *\n",
+    "\n",
+    "alpha = 0.05\n",
+    "pval = GCIT(x, y, z, verbose=False)\n",
+    "\n",
+    "# This is a two-sided test. For a level 0.05 test, set alpha = 0.05/2\n",
+    "if pval < alpha/2: \n",
+    "    print('p-value is',pval,'- There is enough evidence in the data to reject the null hypoyhesis.')\n",
+    "else:\n",
+    "    print('p-value is',pval,'- There is not enough evidence in the data to reject the null hypothesis.')"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.9"
+  },
+  "varInspector": {
+   "cols": {
+    "lenName": 16,
+    "lenType": 16,
+    "lenVar": 40
+   },
+   "kernels_config": {
+    "python": {
+     "delete_cmd_postfix": "",
+     "delete_cmd_prefix": "del ",
+     "library": "var_list.py",
+     "varRefreshCmd": "print(var_dic_list())"
+    },
+    "r": {
+     "delete_cmd_postfix": ") ",
+     "delete_cmd_prefix": "rm(",
+     "library": "var_list.r",
+     "varRefreshCmd": "cat(var_dic_list()) "
+    }
+   },
+   "position": {
+    "height": "144px",
+    "left": "1083px",
+    "right": "20px",
+    "top": "-6px",
+    "width": "350px"
+   },
+   "types_to_exclude": [
+    "module",
+    "function",
+    "builtin_function_or_method",
+    "instance",
+    "_Feature"
+   ],
+   "window_display": true
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/alg/gcit/utils.py b/alg/gcit/utils.py
new file mode 100644
index 00000000..0f8393e1
--- /dev/null
+++ b/alg/gcit/utils.py
@@ -0,0 +1,321 @@
+from sklearn.metrics.pairwise import rbf_kernel
+from scipy.stats import ks_2samp
+from scipy.stats import wilcoxon
+import numpy as np
+import random
+from scipy import stats
+import time
+from collections import defaultdict
+import numpy as np
+import warnings
+from scipy.stats import rankdata
+
+
+
+def same(x):
+    return x
+
+def cube(x):
+    return np.power(x, 3)
+
+def negexp(x):
+    return np.exp(-np.abs(x))
+
+
+def generate_samples_random(size=1000, sType='CI', dx=1, dy=1, dz=20, nstd=1, fixed_function='linear',
+                            debug=False, normalize = True, seed = None, dist_z = 'gaussian'):
+    '''Generate CI,I or NI post-nonlinear samples
+    1. Z is independent Gaussian or Laplace
+    2. X = f1(<a,Z> + b + noise) and Y = f2(<c,Z> + d + noise) in case of CI
+    Arguments:
+        size : number of samples
+        sType: CI, I, or NI
+        dx: Dimension of X
+        dy: Dimension of Y
+        dz: Dimension of Z
+        nstd: noise standard deviation
+        f1, f2 to be within {x,x^2,x^3,tanh x, e^{-|x|}, cos x}
+
+    Output:
+        Samples X, Y, Z
+    '''
+    if seed == None:
+        np.random.seed()
+    else:
+        np.random.seed(seed)
+
+    if fixed_function == 'linear':
+        f1 = same
+        f2 = same
+    else:
+        I1 = random.randint(2, 6)
+        I2 = random.randint(2, 6)
+
+        if I1 == 2:
+            f1 = np.square
+        elif I1 == 3:
+            f1 = cube
+        elif I1 == 4:
+            f1 = np.tanh
+        elif I2 == 5:
+            f1 = negexp
+        else:
+            f1 = np.cos
+
+        if I2 == 2:
+            f2 = np.square
+        elif I2 == 3:
+            f2 = cube
+        elif I2 == 4:
+            f2 = np.tanh
+        elif I2 == 5:
+            f2 = negexp
+        else:
+            f2 = np.cos
+    if debug:
+        print(f1, f2)
+
+    num = size
+
+    if dist_z =='gaussian':
+        cov = np.eye(dz)
+        mu = np.ones(dz)
+        Z = np.random.multivariate_normal(mu, cov, num)
+        Z = np.matrix(Z)
+
+    elif dist_z == 'laplace':
+        Z = np.random.laplace(loc=0.0, scale=1.0, size=num*dz)
+        Z = np.reshape(Z,(num,dz))
+        Z = np.matrix(Z)
+
+    Ax = np.random.rand(dz, dx)
+    for i in range(dx):
+        Ax[:, i] = Ax[:, i] / np.linalg.norm(Ax[:, i], ord=1)
+    Ax = np.matrix(Ax)
+    Ay = np.random.rand(dz, dy)
+    for i in range(dy):
+        Ay[:, i] = Ay[:, i] / np.linalg.norm(Ay[:, i], ord=1)
+    Ay = np.matrix(Ay)
+
+    Axy = np.random.rand(dx, dy)
+    for i in range(dy):
+        Axy[:, i] = Axy[:, i] / np.linalg.norm(Axy[:, i], ord=1)
+    Axy = np.matrix(Axy)
+
+    temp = Z * Ax
+    m = np.mean(np.abs(temp))
+    nstd = nstd * m 
+
+    if sType == 'CI':
+        X = f1(Z * Ax + nstd * np.random.multivariate_normal(np.zeros(dx), np.eye(dx), num))
+        Y = f2(Z * Ay + nstd * np.random.multivariate_normal(np.zeros(dy), np.eye(dy), num))
+    elif sType == 'I':
+        X = f1(nstd * np.random.multivariate_normal(np.zeros(dx), np.eye(dx), num))
+        Y = f2(nstd * np.random.multivariate_normal(np.zeros(dy), np.eye(dy), num))
+    else:
+        X = np.random.multivariate_normal(np.zeros(dx), np.eye(dx), num)
+        Y = f2(2 * X * Axy + Z * Ay)
+
+    if normalize == True:
+        Z = (Z - Z.min()) / (Z.max() - Z.min())
+        X = (X - X.min()) / (X.max() - X.min())
+        Y = (Y - Y.min()) / (Y.max() - Y.min())
+
+    return np.array(X), np.array(Y), np.array(Z)
+
+def pc_ks(pvals):
+    """ Compute the area under power curve and the Kolmogorov-Smirnoff
+    test statistic of the hypothesis that pvals come from the uniform
+    distribution with support (0, 1).
+    """
+    if pvals.size == 0:
+        return [-1, -1]
+    if -1 in pvals or -2 in pvals:
+        return [-1, -1]
+    pvals = np.sort(pvals)
+    cdf = ecdf(pvals)
+    auc = 0
+    for (pv1, pv2) in zip(pvals[:-1], pvals[1:]):
+        auc += integrate.quad(cdf, pv1, pv2)[0]
+    auc += integrate.quad(cdf, pvals[-1], 1)[0]
+    _, ks = kstest(pvals, 'uniform')
+    return auc, ks
+
+def np2r(x):
+    """ Convert a numpy array to an R matrix.
+    Args:
+        x (dim0, dim1): A 2d numpy array.
+    Returns:
+        x_r: An rpy2 object representing an R matrix isometric to x.
+    """
+    if 'rpy2' not in sys.modules:
+        raise ImportError(("rpy2 is not installed.",
+                " Cannot convert a numpy array to an R vector."))
+    try:
+        dim0, dim1 = x.shape
+    except IndexError:
+        raise IndexError("Only 2d arrays are supported")
+    return R.r.matrix(R.FloatVector(x.flatten()), nrow=dim0, ncol=dim1)
+
+def fdr(truth, pred, axis=None):
+    """ Computes False discovery rate
+    """
+    return ((pred==1) & (truth==0)).sum(axis=axis) / pred.sum(axis=axis).astype(float).clip(1,np.inf)
+
+def tpr(truth, pred, axis=None):
+    """ Computes true positive rate
+    """
+    return ((pred==1) & (truth==1)).sum(axis=axis) / truth.sum(axis=axis).astype(float).clip(1,np.inf)
+
+def true_positives(truth, pred, axis=None):
+    """ Computes number of true positive
+    """
+    return ((pred==1) & (truth==1)).sum(axis=axis)
+
+def false_positives(truth, pred, axis=None):
+    """ Computes number of false positive
+    """
+    return ((pred==1) & (truth==0)).sum(axis=axis)
+
+def bh(p, fdr):
+    """ From vector of p-values and desired false positive rate,
+    returns significant p-values with Benjamini-Hochberg correction
+    """
+    p_orders = np.argsort(p)
+    discoveries = []
+    m = float(len(p_orders))
+    for k, s in enumerate(p_orders):
+        if p[s] <= (k+1) / m * fdr:
+            discoveries.append(s)
+        else:
+            break
+    return np.array(discoveries, dtype=int)
+
+
+
+def mmd_squared(X, Y, gamma = 1):
+
+    X = X.reshape((len(X)), 1)
+    Y = Y.reshape((len(Y)), 1)
+
+    K_XX = rbf_kernel(X, gamma=gamma)
+    K_YY = rbf_kernel(Y, gamma=gamma)
+    K_XY = rbf_kernel(X, Y, gamma=gamma)
+
+    n = K_XX.shape[0]
+    m = K_YY.shape[0]
+
+    mmd_squared = (np.sum(K_XX)-np.trace(K_XX))/(n*(n-1)) + (np.sum(K_YY)-np.trace(K_YY))/(m*(m-1)) - 2 * np.sum(K_XY) / (m * n)
+
+    return mmd_squared
+
+def correlation(X,Y):
+    X = X.reshape((len(X)))
+    Y = Y.reshape((len(Y)))
+    return np.abs(np.corrcoef(X, Y)[0, 1])
+
+def kolmogorov(X,Y):
+
+    X = X.reshape((len(X)))
+    Y = Y.reshape((len(Y)))
+    return ks_2samp(X, Y)[0]
+
+def wilcox(X,Y):
+
+    X = X.reshape((len(X)))
+    Y = Y.reshape((len(Y)))
+    return wilcoxon(X, Y)[0]
+
+
+'''
+X = np.random.normal(0,2,500)
+Y = np.random.normal(0,2,500)
+
+kolmogorov(X,Y)
+'''
+
+def rdc(x, y, f=np.sin, k=20, s=1/6., n=1):
+    """
+    Computes the Randomized Dependence Coefficient
+    x,y: numpy arrays 1-D or 2-D
+         If 1-D, size (samples,)
+         If 2-D, size (samples, variables)
+    f:   function to use for random projection
+    k:   number of random projections to use
+    s:   scale parameter
+    n:   number of times to compute the RDC and
+         return the median (for stability)
+    According to the paper, the coefficient should be relatively insensitive to
+    the settings of the f, k, and s parameters.
+    
+    Source: https://github.com/garydoranjr/rdc
+    """
+    x = x.reshape((len(x)))
+    y = y.reshape((len(y)))
+    
+    if n > 1:
+        values = []
+        for i in range(n):
+            try:
+                values.append(rdc(x, y, f, k, s, 1))
+            except np.linalg.linalg.LinAlgError: pass
+        return np.median(values)
+
+    if len(x.shape) == 1: x = x.reshape((-1, 1))
+    if len(y.shape) == 1: y = y.reshape((-1, 1))
+
+    # Copula Transformation
+    cx = np.column_stack([rankdata(xc, method='ordinal') for xc in x.T])/float(x.size)
+    cy = np.column_stack([rankdata(yc, method='ordinal') for yc in y.T])/float(y.size)
+
+    # Add a vector of ones so that w.x + b is just a dot product
+    O = np.ones(cx.shape[0])
+    X = np.column_stack([cx, O])
+    Y = np.column_stack([cy, O])
+
+    # Random linear projections
+    Rx = (s/X.shape[1])*np.random.randn(X.shape[1], k)
+    Ry = (s/Y.shape[1])*np.random.randn(Y.shape[1], k)
+    X = np.dot(X, Rx)
+    Y = np.dot(Y, Ry)
+
+    # Apply non-linear function to random projections
+    fX = f(X)
+    fY = f(Y)
+
+    # Compute full covariance matrix
+    C = np.cov(np.hstack([fX, fY]).T)
+
+    # Due to numerical issues, if k is too large,
+    # then rank(fX) < k or rank(fY) < k, so we need
+    # to find the largest k such that the eigenvalues
+    # (canonical correlations) are real-valued
+    k0 = k
+    lb = 1
+    ub = k
+    while True:
+
+        # Compute canonical correlations
+        Cxx = C[:k, :k]
+        Cyy = C[k0:k0+k, k0:k0+k]
+        Cxy = C[:k, k0:k0+k]
+        Cyx = C[k0:k0+k, :k]
+
+        eigs = np.linalg.eigvals(np.dot(np.dot(np.linalg.pinv(Cxx), Cxy),
+                                        np.dot(np.linalg.pinv(Cyy), Cyx)))
+
+        # Binary search if k is too large
+        if not (np.all(np.isreal(eigs)) and
+                0 <= np.min(eigs) and
+                np.max(eigs) <= 1):
+            ub -= 1
+            k = (ub + lb) // 2
+            continue
+        if lb == ub: break
+        lb = k
+        if ub == lb + 1:
+            k = ub
+        else:
+            k = (ub + lb) // 2
+
+    return np.sqrt(np.max(eigs))
\ No newline at end of file
diff --git a/alg/invase/data_generation.py b/alg/invase/data_generation.py
new file mode 100644
index 00000000..4b225455
--- /dev/null
+++ b/alg/invase/data_generation.py
@@ -0,0 +1,170 @@
+'''
+Written by Jinsung Yoon
+Date: Jan 1th 2019
+INVASE: Instance-wise Variable Selection using Neural Networks Implementation on Synthetic Datasets
+Reference: J. Yoon, J. Jordon, M. van der Schaar, "IINVASE: Instance-wise Variable Selection using Neural Networks," International Conference on Learning Representations (ICLR), 2019.
+Paper Link: https://openreview.net/forum?id=BJg_roAcK7
+Contact: jsyoon0823@g.ucla.edu
+---------------------------------------------------
+Generating Synthetic Data for Synthetic Examples
+There are 6 Synthetic Datasets
+X ~ N(0,I) where d = 100
+Y = 1/(1+logit)
+- Syn1: logit = exp(X1 * X2)
+- Syn2: logit = exp(X3^2 + X4^2 + X5^2 + X6^2 -4)
+- Syn3: logit = -10 sin(2 * X7) + 2|X8| + X9 + exp(-X10) - 2.4
+- Syn4: If X11 < 0, Syn1, X11 >= Syn2
+- Syn4: If X11 < 0, Syn1, X11 >= Syn3
+- Syn4: If X11 < 0, Syn2, X11 >= Syn3
+''' 
+#%% Necessary packages
+import numpy as np 
+#%% X Generation
+def generate_X (n=10000):
+    
+    X = np.random.randn(n, 11)
+    
+    return X
+#%% Basic Label Generation (Syn1, Syn2, Syn3)
+'''
+X: Features
+data_type: Syn1, Syn2, Syn3
+'''
+def Basic_Label_Generation(X, data_type):
+    
+    # number of samples
+    n = len(X[:,0])
+    
+    # Logit computation
+    # 1. Syn1
+    if (data_type == 'Syn1'):
+        logit = np.exp(X[:,0]*X[:,1])
+        
+    # 2. Syn2
+    elif (data_type == 'Syn2'):       
+        logit = np.exp(np.sum(X[:,2:6]**2, axis = 1) - 4.0) 
+        
+    # 3. Syn3
+    elif (data_type == 'Syn3'):
+        logit = np.exp(-10 * np.sin(0.2*X[:,6]) + abs(X[:,7]) + X[:,8] + np.exp(-X[:,9])  - 2.4) 
+        
+    # P(Y=1|X) & P(Y=0|X)
+    prob_1 = np.reshape( (1 / (1+logit)), [n,1])
+    prob_0 = np.reshape( (logit / (1+logit)), [n,1])
+    
+    # Probability output
+    prob_y = np.concatenate((prob_0,prob_1), axis = 1)
+    
+    # Sampling from the probability
+    y = np.zeros([n,2])
+    y[:,0] = np.reshape(np.random.binomial(1, prob_0), [n,])
+    y[:,1] = 1-y[:,0]
+    return y, prob_y
+    
+#%% Complex Label Generation (Syn4, Syn5, Syn6)
+def Complex_Label_Generation(X, data_type):
+    
+    # number of samples
+    n = len(X[:,0])
+    
+    # Logit generation
+    # 1. Syn4
+    if (data_type == 'Syn4'):
+        logit1 = np.exp(X[:,0]*X[:,1])
+        logit2 = np.exp(np.sum(X[:,2:6]**2, axis = 1) - 4.0) 
+    
+    # 2. Syn5
+    elif (data_type == 'Syn5'):
+        logit1 = np.exp(X[:,0]*X[:,1])
+        logit2 = np.exp(-10 * np.sin(0.2*X[:,6]) + abs(X[:,7]) + X[:,8] + np.exp(-X[:,9])  - 2.4) 
+    
+    # 3. Syn6
+    elif (data_type == 'Syn6'):
+        logit1 = np.exp(np.sum(X[:,2:6]**2, axis = 1) - 4.0) 
+        logit2 = np.exp(-10 * np.sin(0.2*X[:,6]) + abs(X[:,7]) + X[:,8] + np.exp(-X[:,9])  - 2.4) 
+    # Based on X[:,10], combine two logits        
+    idx1 = (X[:,10]< 0)*1
+    idx2 = (X[:,10]>=0)*1
+    
+    logit = logit1 * idx1 + logit2 * idx2
+        
+    # P(Y=1|X) & P(Y=0|X)
+    prob_1 = np.reshape( (1 / (1+logit)), [n,1])
+    prob_0 = np.reshape( (logit / (1+logit)), [n,1])
+    
+    # Probability output
+    prob_y = np.concatenate((prob_0,prob_1), axis = 1)
+    
+    # Sampling from the probability
+    y = np.zeros([n,2])
+    y[:,0] = np.reshape(np.random.binomial(1, prob_0), [n,])
+    y[:,1] = 1-y[:,0]
+    return y, prob_y
+#%% Ground truth Variable Importance
+def Ground_Truth_Generation(X, data_type):
+    # Number of samples and features
+    n = len(X[:,0])
+    d = len(X[0,:])
+    # Output initialization
+    out = np.zeros([n,d])
+    
+    # Index
+    if (data_type in ['Syn4','Syn5','Syn6']):        
+        idx1 = np.where(X[:,10]< 0)[0]
+        idx2 = np.where(X[:,10]>=0)[0]
+        out[:,10] = 1
+    
+    # For each data_type
+    # Simple
+    if (data_type == 'Syn1'):
+        out[:,:2] = 1
+    elif (data_type == 'Syn2'):
+        out[:,2:6] = 1
+    elif (data_type == 'Syn3'):
+        out[:,6:10] = 1
+        
+    # Complex
+    elif (data_type == 'Syn4'):        
+        out[idx1,:2] = 1
+        out[idx2,2:6] = 1
+    elif (data_type == 'Syn5'):        
+        out[idx1,:2] = 1
+        out[idx2,6:10] = 1
+    elif (data_type == 'Syn6'):        
+        out[idx1,2:6] = 1
+        out[idx2,6:10] = 1
+        
+    return out
+    
+#%% Generate X and Y
+'''
+n: Number of samples
+data_type: Syn1 to Syn6
+out: Y or Prob_Y
+'''    
+
+def generate_data(n=10000, data_type='Syn1', seed = 0, out = 'Y'):
+    # For same seed
+    np.random.seed(seed)
+    # X generation
+    X = generate_X(n)
+    # Y generation
+    if (data_type in ['Syn1', 'Syn2', 'Syn3']):
+        Y, Prob_Y = Basic_Label_Generation(X, data_type)
+    elif (data_type in ['Syn4', 'Syn5', 'Syn6']):
+        Y, Prob_Y = Complex_Label_Generation(X, data_type)
+    else:
+        print('error: {} not available'.format(data_type))
+        assert 0
+
+    # Output
+    if out == 'Prob':
+        Y_Out = Prob_Y
+    elif out == 'Y':
+        Y_Out = Y
+        
+    # Ground truth
+    Ground_Truth = Ground_Truth_Generation(X, data_type)
+        
+    return X, Y_Out, Ground_Truth
+    
diff --git a/alg/invase/initpath_alg.py b/alg/invase/initpath_alg.py
new file mode 100644
index 00000000..20c5a003
--- /dev/null
+++ b/alg/invase/initpath_alg.py
@@ -0,0 +1,12 @@
+def init_sys_path():
+    import os
+    import sys
+    proj_dir = os.path.abspath(
+        os.path.join(
+            os.path.join(
+                os.path.dirname(os.path.realpath(__file__)),
+                os.pardir),
+            os.pardir))
+    sys.path.append(os.path.join(proj_dir, 'init'))
+    import initpath
+    initpath.platform_init_path(proj_dir)
diff --git a/alg/invase/invase.py b/alg/invase/invase.py
new file mode 100644
index 00000000..7034651c
--- /dev/null
+++ b/alg/invase/invase.py
@@ -0,0 +1,523 @@
+'''
+Written by Jinsung Yoon
+Date: Jan 1th 2019
+INVASE: Instance-wise Variable Selection using Neural Networks Implementation on Synthetic Datasets
+Reference: J. Yoon, J. Jordon, M. van der Schaar, "INVASE: Instance-wise Variable Selection using Neural Networks," International Conference on Learning Representations (ICLR), 2019.
+Paper Link: https://openreview.net/forum?id=BJg_roAcK7
+Contact: jsyoon0823@g.ucla.edu
+---------------------------------------------------
+Instance-wise Variable Selection (INVASE) - with baseline networks
+'''
+from keras.layers import Input, Dense, Multiply
+from keras.layers import BatchNormalization
+from keras.models import Sequential, Model
+from keras.optimizers import Adam
+from keras import regularizers
+from keras import backend as K
+import tensorflow as tf
+import numpy as np
+from sklearn.metrics import roc_auc_score
+from sklearn.metrics import average_precision_score
+from sklearn.metrics import accuracy_score
+import argparse
+from data_generation import generate_data
+import os
+import json
+import pandas as pd
+import time
+import initpath_alg
+initpath_alg.init_sys_path()
+import utilmlab
+import data_loader_mlab
+
+
+def array2str(a):
+    s = ''
+    for idx, el in enumerate(a):
+        s += (' ' if idx > 0 else '') + '{:0.3f}'.format(el)
+    return s
+
+
+def one_hot_encoder(a):
+    n_values = np.max(a) + 1
+    return np.eye(n_values)[a]
+
+
+def load_create_data(
+        data_type,
+        data_out,
+        is_logging_enabled=True,
+        fn_csv=None,
+        label_nm=None):
+
+    df_train, df_test, dset = None, None, None
+    features = None
+    if data_type in data_loader_mlab.get_available_datasets() + ['show'] \
+       or fn_csv is not None:
+        if fn_csv is not None:
+            rval, dset = data_loader_mlab.load_dataset_from_csv(
+                logger, fn_csv, label_nm)
+        else:
+            rval, dset = data_loader_mlab.get_dataset(data_type)
+        assert rval == 0
+        data_loader_mlab.dataset_log_properties(logger, dset)
+        if is_logging_enabled:
+            logger.info('warning no seed')
+        df = dset['df']
+        features = dset['features']
+        labels = dset['targets']
+        nsample = len(df)
+        train_ratio = 0.8
+        idx = np.random.permutation(nsample)
+        ntrain = int(nsample * train_ratio)
+        df_train = df.iloc[idx[:ntrain]]
+        df_test = df.iloc[idx[ntrain:]]
+
+        col_drop = utilmlab.col_with_nan(df)
+        if is_logging_enabled and len(col_drop):
+            print('warning: dropping features {}'
+                  ', contains nan'.format(col_drop))
+            time.sleep(2)
+
+        features = [el for el in features if el not in col_drop]
+
+        x_train = df_train[features].values
+        y_train = df_train[labels].values
+        x_test = df_test[features].values
+        y_test = df_test[labels].values
+
+        g_train, g_test = None, None
+
+        y_train = one_hot_encoder(np.ravel(y_train))
+        y_test = one_hot_encoder(np.ravel(y_test))
+        if is_logging_enabled:
+            logger.info('y: train:{} test:{}'.format(
+                set(np.ravel(y_train)), set(np.ravel(y_test))))
+    else:
+        x_train, y_train, g_train = generate_data(
+            n=train_N, data_type=data_type, seed=train_seed, out=data_out)
+        x_test,  y_test,  g_test = generate_data(
+            n=test_N,  data_type=data_type, seed=test_seed,  out=data_out)
+    if is_logging_enabled:
+        logger.info('{} {} {} {}'.format(
+            x_train.shape,
+            y_train.shape,
+            x_test.shape,
+            y_test.shape))
+    return x_train, y_train, g_train, x_test, y_test, \
+        g_test, df_train, df_test, dset, features
+
+
+#%% Define PVS class
+class PVS():
+    
+    # 1. Initialization
+    '''
+    x_train: training samples
+    data_type: Syn1 to Syn 6
+    '''
+    def __init__(self, x_train, data_type, nepoch, is_logging_enabled=True):
+        self.is_logging_enabled = is_logging_enabled
+        self.latent_dim1 = 100      # Dimension of actor (generator) network
+        self.latent_dim2 = 200      # Dimension of critic (discriminator) network
+        
+        self.batch_size = min(1000, x_train.shape[0])      # Batch size
+        self.epochs = nepoch        # Epoch size (large epoch is needed due to the policy gradient framework)
+        self.lamda = 0.1            # Hyper-parameter for the number of selected features 
+
+        self.input_shape = x_train.shape[1]     # Input dimension
+        logger.info('input shape: {}'.format(self.input_shape))
+        
+        # Actionvation. (For Syn1 and 2, relu, others, selu)
+        self.activation = 'relu' if data_type in ['Syn1','Syn2'] else 'selu'       
+
+        # Use Adam optimizer with learning rate = 0.0001
+        optimizer = Adam(0.0001)
+        
+        # Build and compile the discriminator (critic)
+        self.discriminator = self.build_discriminator()
+        # Use categorical cross entropy as the loss
+        self.discriminator.compile(loss='categorical_crossentropy', optimizer=optimizer, metrics=['acc'])
+
+        # Build the generator (actor)
+        self.generator = self.build_generator()
+        # Use custom loss (my loss)
+        self.generator.compile(loss=self.my_loss, optimizer=optimizer)
+
+        # Build and compile the value function
+        self.valfunction = self.build_valfunction()
+        # Use categorical cross entropy as the loss
+        self.valfunction.compile(loss='categorical_crossentropy', optimizer=optimizer, metrics=['acc'])
+
+    #%% Custom loss definition
+    def my_loss(self, y_true, y_pred):
+        
+        # dimension of the features
+        d = y_pred.shape[1]        
+        
+        # Put all three in y_true 
+        # 1. selected probability
+        sel_prob = y_true[:,:d]
+        # 2. discriminator output
+        dis_prob = y_true[:,d:(d+2)]
+        # 3. valfunction output
+        val_prob = y_true[:,(d+2):(d+4)]
+        # 4. ground truth
+        y_final = y_true[:,(d+4):]        
+        
+        # A1. Compute the rewards of the actor network
+        Reward1 = tf.reduce_sum(y_final * tf.log(dis_prob + 1e-8), axis = 1)  
+        
+        # A2. Compute the rewards of the actor network
+        Reward2 = tf.reduce_sum(y_final * tf.log(val_prob + 1e-8), axis = 1)  
+
+        # Difference is the rewards
+        Reward = Reward1 - Reward2
+
+        # B. Policy gradient loss computation. 
+        loss1 = Reward * tf.reduce_sum( sel_prob * K.log(y_pred + 1e-8) + (1-sel_prob) * K.log(1-y_pred + 1e-8), axis = 1) - self.lamda * tf.reduce_mean(y_pred, axis = 1)
+        
+        # C. Maximize the loss1
+        loss = tf.reduce_mean(-loss1)
+
+        return loss
+
+    #%% Generator (Actor)
+    def build_generator(self):
+
+        model = Sequential()
+        
+        model.add(Dense(100, activation=self.activation, name = 's/dense1', kernel_regularizer=regularizers.l2(1e-3), input_dim = self.input_shape))
+        model.add(Dense(100, activation=self.activation, name = 's/dense2', kernel_regularizer=regularizers.l2(1e-3)))
+        model.add(Dense(self.input_shape, activation = 'sigmoid', name = 's/dense3', kernel_regularizer=regularizers.l2(1e-3)))
+
+        if self.is_logging_enabled:
+            model.summary()
+
+        feature = Input(shape=(self.input_shape,), dtype='float32')
+        select_prob = model(feature)
+
+        return Model(feature, select_prob)
+
+    #%% Discriminator (Critic)
+    def build_discriminator(self):
+
+        model = Sequential()
+                
+        model.add(Dense(200, activation=self.activation, name = 'dense1', kernel_regularizer=regularizers.l2(1e-3), input_dim = self.input_shape)) 
+        model.add(BatchNormalization())     # Use Batch norm for preventing overfitting
+        model.add(Dense(200, activation=self.activation, name = 'dense2', kernel_regularizer=regularizers.l2(1e-3)))
+        model.add(BatchNormalization())
+        model.add(Dense(2, activation ='softmax', name = 'dense3', kernel_regularizer=regularizers.l2(1e-3)))
+        
+        if self.is_logging_enabled:
+            model.summary()
+        
+        # There are two inputs to be used in the discriminator
+        # 1. Features
+        feature = Input(shape=(self.input_shape,), dtype='float32')
+        # 2. Selected Features
+        select = Input(shape=(self.input_shape,), dtype='float32')         
+        
+        # Element-wise multiplication
+        model_input = Multiply()([feature, select])
+        prob = model(model_input)
+
+        return Model([feature, select], prob)
+        
+    #%% Value Function
+    def build_valfunction(self):
+
+        model = Sequential()
+                
+        model.add(Dense(200, activation=self.activation, name = 'v/dense1', kernel_regularizer=regularizers.l2(1e-3), input_dim = self.input_shape)) 
+        model.add(BatchNormalization())     # Use Batch norm for preventing overfitting
+        model.add(Dense(200, activation=self.activation, name = 'v/dense2', kernel_regularizer=regularizers.l2(1e-3)))
+        model.add(BatchNormalization())
+        model.add(Dense(2, activation ='softmax', name = 'v/dense3', kernel_regularizer=regularizers.l2(1e-3)))
+        
+        if self.is_logging_enabled:
+            model.summary()
+        
+        # There are one inputs to be used in the value function
+        # 1. Features
+        feature = Input(shape=(self.input_shape,), dtype='float32')       
+        
+        # Element-wise multiplication
+        prob = model(feature)
+
+        return Model(feature, prob)
+
+    #%% Sampling the features based on the output of the generator
+    def Sample_M(self, gen_prob):
+        # Shape of the selection probability
+        n = gen_prob.shape[0]
+        d = gen_prob.shape[1]
+        # Sampling
+        samples = np.random.binomial(1, gen_prob, (n,d))
+
+        return samples
+
+    #%% Training procedure
+    def train(self, x_train, y_train):
+
+        # For each epoch (actually iterations)
+        for epoch in range(self.epochs):
+
+            #%% Train Discriminator
+            # Select a random batch of samples
+            idx = np.random.randint(0, x_train.shape[0], self.batch_size)
+            x_batch = x_train[idx,:]
+            y_batch = y_train[idx,:]
+
+            # Generate a batch of probabilities of feature selection
+            gen_prob = self.generator.predict(x_batch)
+            
+            # Sampling the features based on the generated probability
+            sel_prob = self.Sample_M(gen_prob)     
+            
+            # Compute the prediction of the critic based on the sampled features (used for generator training)
+            dis_prob = self.discriminator.predict([x_batch, sel_prob])
+
+            # Train the discriminator
+            d_loss = self.discriminator.train_on_batch([x_batch, sel_prob], y_batch)
+
+            #%% Train Valud function
+
+            # Compute the prediction of the critic based on the sampled features (used for generator training)
+            val_prob = self.valfunction.predict(x_batch)
+
+            # Train the discriminator
+            v_loss = self.valfunction.train_on_batch(x_batch, y_batch)
+            
+            #%% Train Generator
+            # Use three things as the y_true: sel_prob, dis_prob, and ground truth (y_batch)
+            y_batch_final = np.concatenate( (sel_prob, np.asarray(dis_prob), np.asarray(val_prob), y_batch), axis = 1 )
+
+            # Train the generator
+            g_loss = self.generator.train_on_batch(x_batch, y_batch_final)
+
+            #%% Plot the progress
+            dialog = 'Epoch: ' + '{:6d}'.format(epoch) + ', d_loss (Acc)): '
+            dialog += '{:0.3f}'.format(d_loss[1]) + ', v_loss (Acc): '
+            dialog += '{:0.3f}'.format(v_loss[1]) + ', g_loss: ' + '{:+6.4f}'.format(g_loss)
+
+            if epoch % 100 == 0:
+                logger.info('{}'.format(dialog))
+    
+    #%% Selected Features        
+    def output(self, x_train):
+        
+        gen_prob = self.generator.predict(x_train)
+        
+        return np.asarray(gen_prob)
+     
+    #%% Prediction Results 
+    def get_prediction(self, x_train, m_train):
+        
+        val_prediction = self.valfunction.predict(x_train)
+        
+        dis_prediction = self.discriminator.predict([x_train, m_train])
+        
+        return np.asarray(val_prediction), np.asarray(dis_prediction)
+
+
+def init_arg():
+    parser = argparse.ArgumentParser()
+    parser.add_argument("--it", default=10000, type=int)
+    parser.add_argument("-o", default='feature_score.csv.gz')
+    parser.add_argument(
+        '--dataset',
+        help='load one of the available/buildin datasets'
+        ' [spam, spambase, letter, ...] use show to see a list')
+    parser.add_argument(
+        '-i', help='load data as a csv file, requires the name of the label'
+        ' (reponsevar) to be specified as well (if applicable), this column'
+        'will not be processed')
+    parser.add_argument(
+        '--target', help='specifies the column with the response var '
+        'if applicable when loading a csv file, this column will'
+        ' not be processed')
+    return parser.parse_args()
+
+
+if __name__ == '__main__':
+
+    args = init_arg()
+
+    ocsv = args.o
+    odir = os.path.dirname(ocsv)
+    odir = '.' if not len(odir) else odir
+    fn_csv = args.i
+    label_nm = args.target
+    nepoch = args.it
+    logger = utilmlab.init_logger(odir)
+
+    dataset = args.dataset
+
+    assert dataset is not None or fn_csv is not None
+    assert fn_csv is None or label_nm is not None
+
+    # Data output can be either binary (Y) or Probability (Prob)
+    data_out_sets = ['Y', 'Prob']
+    data_out = data_out_sets[0]
+
+    logger.info('invase: {} {} {} {}'.format(dataset, nepoch, odir, data_out))
+
+    # Number of Training and Testing samples
+    train_N = 10000
+    test_N = 10000
+
+    # Seeds (different seeds for training and testing)
+    train_seed = 0
+    test_seed = 1
+
+    x_train, y_train, _, x_test, y_test, g_test, df_train, df_test, \
+        dset, features = load_create_data(
+            dataset,
+            data_out,
+            is_logging_enabled=True,
+            fn_csv=fn_csv,
+            label_nm=label_nm)
+
+    PVS_Alg = PVS(x_train, dataset, nepoch)
+
+    PVS_Alg.train(x_train, y_train)
+
+    # 3. Get the selection probability on the testing set
+    Sel_Prob_Test = PVS_Alg.output(x_test)
+    
+    # 4. Selected features
+    score = 1.*(Sel_Prob_Test > 0.5)
+    
+    # 5. Prediction
+    val_predict, dis_predict = PVS_Alg.get_prediction(x_test, score)
+    
+    #%% Performance Metrics
+    def performance_metric(score, g_truth):
+
+        n = len(score)
+        Temp_TPR = np.zeros([n,])
+        Temp_FDR = np.zeros([n,])
+        
+        for i in range(n):
+    
+            # TPR    
+            TPR_Nom = np.sum(score[i,:] * g_truth[i,:])
+            TPR_Den = np.sum(g_truth[i,:])
+            Temp_TPR[i] = 100 * float(TPR_Nom)/float(TPR_Den+1e-8)
+        
+            # FDR
+            FDR_Nom = np.sum(score[i,:] * (1-g_truth[i,:]))
+            FDR_Den = np.sum(score[i,:])
+            Temp_FDR[i] = 100 * float(FDR_Nom)/float(FDR_Den+1e-8)
+    
+        return np.mean(Temp_TPR), np.mean(Temp_FDR),\
+            np.std(Temp_TPR), np.std(Temp_FDR)
+    
+    #%% Output
+
+    TPR_mean, TPR_std = -1, 0
+    FDR_mean, FDR_std = -1, 0
+    if g_test is not None:
+        TPR_mean, FDR_mean, TPR_std, FDR_std = performance_metric(
+            score, g_test)
+
+        logger.info('TDR mean: {:0.1f}%  std: {:0.1f}%'.format(
+            TPR_mean, TPR_std))
+        logger.info('FDR mean: {:0.1f}%  std: {:0.1f}%'.format(
+            FDR_mean, FDR_std))
+    else:
+        logger.info('no ground truth relevance')
+
+    #%% Prediction Results
+    Predict_Out = np.zeros([20, 3, 2])    
+
+    for i in range(20):
+        
+        # different teat seed
+        test_seed = i+2
+        x_train, y_train, _, x_test, y_test, _, train, df_test, dset, features = load_create_data(
+            dataset,
+            data_out,
+            is_logging_enabled=False,
+            fn_csv=fn_csv,
+            label_nm=label_nm)  
+
+        logger.info('x_test:{}'.format(x_test.shape))
+        
+        # 1. Get the selection probability on the testing set
+        Sel_Prob_Test = PVS_Alg.output(x_test)
+    
+        # 2. Selected features
+        score = 1.*(Sel_Prob_Test > 0.5)
+
+        # logger.info('selprob {}) {}'.format(i, np.mean(Sel_Prob_Test, axis=0)))
+        # logger.info('score   {}) {}'.format(i, np.mean(score, axis=0)))
+        
+        # 3. Prediction
+        val_predict, dis_predict = PVS_Alg.get_prediction(x_test, score)
+        
+        # 4. Prediction Results
+        Predict_Out[i,0,0] = roc_auc_score(y_test[:,1], val_predict[:,1])
+        Predict_Out[i,1,0] = average_precision_score(y_test[:,1], val_predict[:,1])
+        Predict_Out[i,2,0] = accuracy_score(y_test[:,1], 1. * (val_predict[:,1]>0.5) )
+    
+        Predict_Out[i,0,1] = roc_auc_score(y_test[:,1], dis_predict[:,1])
+        Predict_Out[i,1,1] = average_precision_score(y_test[:,1], dis_predict[:,1])
+        Predict_Out[i,2,1] = accuracy_score(y_test[:,1], 1. * (dis_predict[:,1]>0.5) )
+            
+    # Mean / Var of 20 different testing sets
+    Output = np.round(np.concatenate((
+        np.mean(Predict_Out, 0),
+        np.std(Predict_Out, 0)), axis=1), 4)
+
+    logger.info('{}'.format(Output))
+
+    x_train, y_train, _, x_test, y_test, g_test, train, df_test, dset, features = load_create_data(
+        dataset,
+        data_out,
+        fn_csv=fn_csv,
+        label_nm=label_nm)
+
+    PVS_Alg2 = PVS(x_train, dataset, nepoch, is_logging_enabled=False)
+
+    PVS_Alg2.train(x_train, y_train)
+
+    Sel_Prob = PVS_Alg2.output(x_test)
+    if features is not None:
+        df_sel_prob = pd.DataFrame(
+            Sel_Prob, columns=features)
+        compression = 'gzip' if ocsv.endswith('.gz') else None
+        df_sel_prob.to_csv(ocsv, index=False, compression=compression)
+
+    logger.info('mean sel_prob {}'.format(
+        array2str(np.mean(Sel_Prob, axis=0))))
+
+    score = 1.*(Sel_Prob > 0.5)
+    logger.info('mean score {}'.format(
+        array2str(np.mean(score, axis=0))))
+
+    out_d = {
+        'roc': list(Output[0, :]),
+        'prc': list(Output[1, :]),
+        'acc': list(Output[2, :])
+    }
+
+    result_d = {
+        'tpr_mean': TPR_mean,
+        'fdr_mean': FDR_mean,
+        'tpr_std': TPR_std,
+        'fdr_std': FDR_std,
+        'scores': out_d,
+        'features': features,
+        'targets': dset['targets'] if dset is not None else '-'
+    }
+
+    fn_json = '{}/result.json'.format(odir)
+    with open(fn_json, "w") as fp:
+        json.dump(result_d, fp)
+    if df_train is not None:
+        df_train.to_csv('{}/dftrain.csv'.format(odir))
+    if df_test is not None:
+        df_test.to_csv('{}/dftest.csv'.format(odir))
diff --git a/alg/invase/invase_ana.py b/alg/invase/invase_ana.py
new file mode 100644
index 00000000..740e7661
--- /dev/null
+++ b/alg/invase/invase_ana.py
@@ -0,0 +1,60 @@
+import argparse
+import pandas as pd
+import os
+import sys
+import numpy as np
+import json
+import initpath_alg
+initpath_alg.init_sys_path()
+import utilmlab
+import data_loader_mlab
+
+
+def array2str(a):
+    s = ''
+    for idx, el in enumerate(a):
+        s += (' ' if idx > 0 else '') + '{:0.3f}'.format(el)
+    return s
+
+
+def init_arg():
+    parser = argparse.ArgumentParser()
+    parser.add_argument("-i")
+    parser.add_argument("-o")
+    return parser.parse_args()
+
+
+if __name__ == '__main__':
+
+    args = init_arg()
+
+    fn_csv = args.i
+    fn_json = args.o
+
+    df = pd.read_csv(fn_csv)
+    
+    # fig, ax = plt.subplots()
+    # ax.matshow(df.values, cmap=plt.cm.Blues)
+    # plt.show()
+
+    logger = utilmlab.init_logger(os.path.dirname(fn_csv))
+
+    lst = list()
+
+    lst = [(el0, el1, el2) for el0, el1, el2 in zip(
+        df.columns,
+        np.mean(df, axis=0),
+        np.std(df, axis=0))]
+    lst = sorted(lst, key=lambda el: el[1])
+    feature_lst = [el[0] for el in lst if el[1] > 0.5]
+    for idx, el in enumerate(lst):
+        print('{} {:30s} mean:{:0.3f} std:{:0.3f}'.format(idx, el[0], el[1], el[2]))
+    d = {
+        'features': [el[0] for el in lst],
+        'score': [el[1] for el in lst],
+        'score_std': [el[2] for el in lst],
+        'feature_score': lst
+    }
+    if fn_json is not None:
+        with open(fn_json, "w") as fp:
+            json.dump(d, fp)
diff --git a/alg/invase/invase_plot.py b/alg/invase/invase_plot.py
new file mode 100644
index 00000000..b6e3e08e
--- /dev/null
+++ b/alg/invase/invase_plot.py
@@ -0,0 +1,89 @@
+import argparse
+import pandas as pd
+import os
+import sys
+import numpy as np
+import json
+import matplotlib.pyplot as plt
+import seaborn as sns
+import initpath_alg
+initpath_alg.init_sys_path()
+import utilmlab
+import data_loader_mlab
+
+
+def array2str(a):
+    s = ''
+    for idx, el in enumerate(a):
+        s += (' ' if idx > 0 else '') + '{:0.3f}'.format(el)
+    return s
+
+
+def init_arg():
+    parser = argparse.ArgumentParser()
+    parser.add_argument("-i")
+    parser.add_argument("-n", type=int, default=0)
+    parser.add_argument("--show", type=int, default=0)
+    parser.add_argument("-osample")
+    parser.add_argument("-oglobal")
+    parser.add_argument(
+        "-isstd", type=int,
+        default=0,
+        help="include standard deviation in plot")
+    return parser.parse_args()
+
+
+if __name__ == '__main__':
+
+    args = init_arg()
+
+    fn_csv = args.i
+    fn_plot_global = args.oglobal
+    fn_plot_sample = args.osample
+    nsample = args.n
+    is_std = args.isstd
+    
+    df = pd.read_csv(fn_csv)
+    if nsample:
+        df = df[:nsample]
+
+    lst = [(el0, el1, el2) for el0, el1, el2 in zip(
+        df.columns,
+        np.mean(df, axis=0),
+        np.std(df, axis=0))]
+    lst = sorted(lst, key=lambda el: el[1], reverse=True)
+    feature_mean = [el[1] for el in lst]
+    feature_std = [el[2] for el in lst]
+    feature_nm = [el[0][:6] for el in lst]
+    if is_std:
+        df_bar_plot = pd.DataFrame({
+            'feature_mean_std': feature_mean + feature_std,
+            'feature_is_std': [
+                0 for el in feature_mean] + [1 for el in feature_std],
+            'feature_nm': feature_nm + feature_nm})
+        ax = sns.barplot(
+            x="feature_mean_std",
+            y="feature_nm",
+            data=df_bar_plot,
+            palette="Blues_d",
+            hue="feature_is_std")
+    else:
+        df_bar_plot = pd.DataFrame({
+            'feature_mean': feature_mean,
+            'feature_nm': feature_nm})
+        ax = sns.barplot(
+            x="feature_mean",
+            y="feature_nm",
+            data=df_bar_plot,
+            palette="Blues_d")
+
+    plt.savefig(fn_plot_global)
+    fig, ax = plt.subplots()
+    ax.matshow(df.values, cmap=plt.cm.Blues)
+    fig = plt.gcf()
+    dpi = 5
+    plot_size = max(10, len(df.columns)/dpi), len(df)/dpi
+    fig.set_size_inches(plot_size)
+    plt.savefig(fn_plot_sample)
+    if args.show:
+        plt.show()
diff --git a/alg/invase/readme.md b/alg/invase/readme.md
new file mode 100644
index 00000000..18543467
--- /dev/null
+++ b/alg/invase/readme.md
@@ -0,0 +1,19 @@
+# Invase
+
+Written by Jinsung Yoon
+Date: Jan 1th 2019
+INVASE: Instance-wise Variable Selection using Neural Networks Implementation on Synthetic Datasets
+Reference: J. Yoon, J. Jordon, M. van der Schaar, "INVASE: Instance-wise Variable Selection using Neural Networks," International Conference on Learning Representations (ICLR), 2019.
+Paper Link: https://openreview.net/forum?id=BJg_roAcK7
+Contact: jsyoon0823@g.ucla.edu
+
+
+## Usage
+
+see also tutorial_invase.ipynb
+
+```
+python3 invase.py -i <csv> --targe <response var> -o <feature_score.csv.gz>  # calculate feature weighting
+python3 invase_plot.py  -i <csv> -oglobal <globalweighting.png> -osample <sampleweighting.png> -isstd 1  # generate plots
+```
+
diff --git a/alg/invase/test_invase.py b/alg/invase/test_invase.py
new file mode 100644
index 00000000..59881e4f
--- /dev/null
+++ b/alg/invase/test_invase.py
@@ -0,0 +1,115 @@
+'''
+Example/Test script for invase.
+'''
+import sys
+import os
+import json
+import argparse
+import initpath_alg
+from pathlib import Path
+initpath_alg.init_sys_path()
+import utilmlab
+import data_loader_mlab
+
+
+def init_arg():
+    parser = argparse.ArgumentParser()
+    parser.add_argument("--it", default=10000, type=int)
+    parser.add_argument('--exe', help='python interpreter to use')
+    parser.add_argument('--projdir')
+    return parser.parse_args()
+
+
+if __name__ == '__main__':
+
+    args = init_arg()
+
+    if args.exe is not None:
+        python_exe = args.exe
+    else:
+        python_exe = 'python' if sys.version_info[0] < 3 else 'python3'
+    nepoch = args.it
+    version = 4
+    alg = 'invase'
+
+    proj_dir = utilmlab.get_proj_dir() \
+        if args.projdir is None else args.projdir
+
+    resdir = '{}/result/invase/v_{}/h_{}/e_{}'.format(
+        proj_dir,
+        version,
+        os.environ['HOSTNAME'] if 'HOSTNAME' in os.environ else 'unknown',
+        nepoch)
+
+    utilmlab.ensure_dir(resdir)
+
+    logger = utilmlab.init_logger(resdir)
+
+    script = Path('{}/alg/invase/invase.py'.format(proj_dir))
+    script_ana = Path('{}/alg/invase/invase_ana.py'.format(proj_dir))
+    script_plot = Path('{}/alg/invase/invase_plot.py'.format(proj_dir))
+
+    for dataset in ['csv', 'bc', 'spambase']:
+
+        odir = '{}/dataset_{}'.format(resdir, dataset)
+
+        utilmlab.ensure_dir(odir)
+
+        fn_feature_score = '{}/feature_score.csv.gz'.format(odir)
+        fn_json = '{}/feature_score.csv.json'.format(odir)
+        fn_plot_sample = '{}/sample.png'.format(odir)
+        fn_plot_global = '{}/global.png'.format(odir)
+
+        if dataset == 'csv':
+            fn_csv = '{}/spambase.csv.gz'.format(
+                utilmlab.get_data_dir())
+            utilmlab.exe_cmd(
+                logger,
+                '{} {} -i {} --target label --it {} -o {}'.format(
+                    python_exe, script, fn_csv, nepoch, fn_feature_score))
+        else:
+            if not data_loader_mlab.is_available(dataset):
+                continue
+            utilmlab.exe_cmd(
+                logger,
+                '{} {} --dataset {} --it {} -o {}'.format(
+                    python_exe, script, dataset, nepoch, fn_feature_score))
+
+        utilmlab.exe_cmd(logger,'{} {} -i {} -o {}'.format(
+            python_exe, script_ana, fn_feature_score, fn_json))
+
+        utilmlab.exe_cmd(logger,'{} {} -i {} -oglobal {} -osample {}'.format(
+            python_exe, script_plot, fn_feature_score,
+            fn_plot_global, fn_plot_sample))
+
+    result_lst = []
+
+    for dataset in [
+            'Syn1',
+            'Syn2',
+            'Syn3',
+            'Syn4',
+            'Syn5',
+            'Syn6']:
+
+        odir = '{}/dataset_{}'.format(resdir, dataset)
+
+        utilmlab.ensure_dir(odir)
+        fn_feature_score = '{}/feature_score.csv.gz'.format(odir)
+
+        utilmlab.exe_cmd(logger,'{} {} --dataset {} --it {} -o {}'.format(
+            python_exe, script, dataset, nepoch, fn_feature_score))
+
+        fn = '{}/result.json'.format(odir)
+        with open(fn) as f:
+            result_d = json.load(f)
+        result_desc = 'tpr_mean:{} fdr_mean:{}'.format(
+            result_d['tpr_mean'],
+            result_d['fdr_mean'])
+        result_lst.append((dataset, result_desc))
+        logger.info('{}'.format(result_lst[-1]))
+
+    logger.info('\n\nOverview result {}:\n'.format(alg))
+
+    for el in result_lst:
+        logger.info('{:20s} {}'.format(el[0], el[1]))
diff --git a/alg/invase/tutorial_invase.ipynb b/alg/invase/tutorial_invase.ipynb
new file mode 100644
index 00000000..caa57c7c
--- /dev/null
+++ b/alg/invase/tutorial_invase.ipynb
@@ -0,0 +1,128 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Tutorial INVASE\n",
+    "\n",
+    "    \n",
+    " ## instancewise variable selection using deep neural networks"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "This tutorial shows how to use INVASE to do instancewise variable selection. Follow link [INVASE](https://openreview.net/forum?id=BJg_roAcK7) for more details. We are using the well known UCI dataset \"breast-cancer-wisconsin.csv\" as an example."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Load dataset and show the first five samples:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from sklearn.datasets import load_breast_cancer\n",
+    "import pandas as pd\n",
+    "data = load_breast_cancer()  # get Breast Cancer Dataset\n",
+    "\n",
+    "df = pd.DataFrame(data.data, columns=data.feature_names) # create pandas dataframe\n",
+    "target = 'target'\n",
+    "df[target] = data.target\n",
+    "fn_csv = 'data.csv'\n",
+    "df.to_csv(fn_csv, index=False)\n",
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Run invase"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "fn_feature_score = \"feature_score.csv.gz\"\n",
+    "\n",
+    "num_epoch = 2000\n",
+    "!python3 invase.py -i {fn_csv} --target {target} --it {num_epoch} -o {fn_feature_score}"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Analyse results and generate plots"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "fn_json = 'result.json'\n",
+    "!python3 invase_ana.py -i {fn_csv} -o {fn_json}\n",
+    "!python3 invase_plot.py  -i {fn_csv} -oglobal global.png -osample sample.png -isstd 1\n",
+    "import matplotlib.pyplot as plt; plt.rcParams['figure.figsize'] = [12, 12];import matplotlib.image as mpimg;img=mpimg.imread('global.png'); plt.imshow(img);plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Show plot features importance per sample"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import matplotlib.pyplot as plt; plt.rcParams['figure.figsize'] = [13, 60];import matplotlib.image as mpimg;img=mpimg.imread('sample.png'); plt.imshow(img);plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.2"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/alg/knockoffgan/KnockoffGAN.py b/alg/knockoffgan/KnockoffGAN.py
new file mode 100644
index 00000000..e4255d24
--- /dev/null
+++ b/alg/knockoffgan/KnockoffGAN.py
@@ -0,0 +1,357 @@
+'''
+KnockoffGAN Knockoff Variable Generation
+Jinsung Yoon (9/27/2018)
+'''
+
+#%% Necessary Packages
+import numpy as np
+from tqdm import tqdm
+import tensorflow as tf
+import logging
+import argparse
+import pandas as pd
+from sklearn.preprocessing import MinMaxScaler
+
+#%% KnockoffGAN Function
+'''
+Inputs:
+x_train: Training data
+lamda: Power network parameter = 0.01
+mu: WGAN parameter = 1
+'''  
+
+
+logger = logging.getLogger()
+
+
+def KnockoffGAN (x_train, x_name, lamda = 0.01, mu = 1, mb_size=128, niter=2000):    
+
+    tf_debug = False
+
+    if tf_debug:
+        run_opts = tf.RunOptions(report_tensor_allocations_upon_oom = True)
+        config = tf.ConfigProto()
+        config.log_device_placement=True
+        config.gpu_options.allow_growth = True
+    else:
+        run_opts = None
+        config = None
+
+    #%% Parameters
+    # 1. # of samples
+    n = len(x_train[:,0])
+    
+    # 2. # of features
+    x_dim = len(x_train[0,:])
+    
+    # 3. # of random dimensions
+    z_dim = int(x_dim)    
+        
+    # 4. # of hidden dimensions
+    h_dim = int(x_dim)
+        
+    # 5. # of minibatch 
+    # mb_size = 128
+    
+    # 6. WGAN parameters
+    lam = 10
+    lr = 1e-4
+            
+    #%% Necessary Functions
+    
+    # 1. Xavier Initialization Definition
+    def xavier_init(size):
+        in_dim = size[0]
+        xavier_stddev = 1. / tf.sqrt(in_dim / 2.)
+        return tf.random_normal(shape = size, stddev = xavier_stddev)    
+            
+    # 2. Sample from normal distribution: Random variable generation
+    def sample_Z(m, n, x_name):
+        if ((x_name == 'Normal') | (x_name == 'AR_Normal')):
+            return np.random.normal(0., np.sqrt(1./3000), size = [m, n]).copy()
+        elif ((x_name == 'Uniform') | (x_name == 'AR_Uniform')):
+            return np.random.uniform(-3*np.sqrt(1./3000),3*np.sqrt(1./3000),[m,n]).copy()
+            
+    # 3. Sample from the real data (Mini-batch index sampling)
+    def sample_X(m, n):
+        return np.random.permutation(m)[:n].copy()
+                
+    # 4. Permutation for MINE computation
+    def Permute (x):
+        n = len(x[:,0])
+        idx = np.random.permutation(n)
+        out = x[idx,:].copy()
+        return out        
+        
+    # 5. Bernoulli sampling for Swap and Hint variables
+    def sample_SH(m, n, p):
+        return np.random.binomial(1, p, [m,n]).copy()
+         
+    #%% Placeholder inputs
+        
+    # 1. Feature
+    X = tf.placeholder(tf.float32, shape = [None, x_dim])   
+    # 2. Feature (Permute)
+    X_hat = tf.placeholder(tf.float32, shape = [None, x_dim])   
+    # 3. Random Variable    
+    Z = tf.placeholder(tf.float32, shape = [None, z_dim])
+    # 4. Swap
+    S = tf.placeholder(tf.float32, shape = [None, x_dim])   
+    # 5. Hint
+    H = tf.placeholder(tf.float32, shape = [None, x_dim])   
+         
+    #%% Network Building         
+    
+    #%% 1. Discriminator
+    # Input: Swap (X, tilde X) and Hint   
+    D_W1 = tf.Variable(xavier_init([x_dim + x_dim + x_dim, h_dim]))
+    D_b1 = tf.Variable(tf.zeros(shape=[h_dim]))
+    
+    D_W2 = tf.Variable(xavier_init([h_dim,x_dim]))
+    D_b2 = tf.Variable(tf.zeros(shape=[x_dim]))
+    
+    theta_D = [D_W1, D_W2, D_b1, D_b2]
+        
+    #%% 2. WGAN Discriminator
+    # Input: tilde X
+    WD_W1 = tf.Variable(xavier_init([x_dim, h_dim]))
+    WD_b1 = tf.Variable(tf.zeros(shape=[h_dim]))
+    
+    WD_W2 = tf.Variable(xavier_init([h_dim,1]))
+    WD_b2 = tf.Variable(tf.zeros(shape=[1]))
+    
+    theta_WD = [WD_W1, WD_W2, WD_b1, WD_b2]
+    
+    #%% 3. Generator
+    # Input: X and Z
+    G_W1 = tf.Variable(xavier_init([x_dim + z_dim, h_dim]))
+    G_b1 = tf.Variable(tf.zeros(shape=[h_dim]))
+    
+    G_W2 = tf.Variable(xavier_init([h_dim,x_dim]))
+    G_b2 = tf.Variable(tf.zeros(shape=[x_dim]))
+        
+    theta_G = [G_W1, G_W2, G_b1, G_b2]
+    
+    #%% 4. MINE
+    # Input: X and tilde X
+    # For X    
+    M_W1A = tf.Variable(xavier_init([x_dim]))
+    M_W1B = tf.Variable(xavier_init([x_dim]))
+    M_b1 = tf.Variable(tf.zeros(shape=[x_dim]))
+    
+    # For tilde X
+    M_W2A = tf.Variable(xavier_init([x_dim]))
+    M_W2B = tf.Variable(xavier_init([x_dim]))
+    M_b2 = tf.Variable(tf.zeros(shape=[x_dim]))
+    
+    # Combine
+    M_W3 = tf.Variable(xavier_init([x_dim]))
+    M_b3 = tf.Variable(tf.zeros(shape=[x_dim]))
+        
+    theta_M = [M_W1A, M_W1B, M_W2A, M_W2B, M_W3, M_b1, M_b2, M_b3]
+    
+    #%% Functions
+    # 1. Generator    
+    def generator(x, z):
+        inputs = tf.concat(axis=1, values = [x, z])
+        G_h1 = tf.nn.tanh(tf.matmul(inputs, G_W1) + G_b1)
+        G_out = (tf.matmul(G_h1, G_W2) + G_b2)
+            
+        return G_out
+    
+    # 2. Discriminator
+    def discriminator(sA, sB, h):
+        inputs = tf.concat(axis=1, values = [sA, sB, h])
+        D_h1 = tf.nn.tanh(tf.matmul(inputs, D_W1) + D_b1)
+        D_out = tf.nn.sigmoid(tf.matmul(D_h1, D_W2) + D_b2)
+            
+        return D_out
+    
+    # 3. WGAN Discriminator    
+    def WGAN_discriminator(x):
+        WD_h1 = tf.nn.relu(tf.matmul(x, WD_W1) + WD_b1)
+        WD_out = (tf.matmul(WD_h1, WD_W2) + WD_b2)
+            
+        return WD_out        
+        
+     # 4. MINE   
+    def MINE(x, x_hat):
+        M_h1 = tf.nn.tanh(M_W1A * x + M_W1B * x_hat + M_b1)
+        M_h2 = tf.nn.tanh(M_W2A * x + M_W2B * x_hat + M_b2)
+        M_out = (M_W3 * (M_h1 + M_h2) + M_b3)
+        
+        Exp_M_out = tf.exp(M_out)    
+        
+        return M_out, Exp_M_out
+        
+    #%% Combination across the networks
+    # 1. Generater Knockoffs
+    G_sample = generator(X,Z)
+    
+    # 2. WGAN Outputs for real and fake
+    WD_real = WGAN_discriminator(X)
+    WD_fake = WGAN_discriminator(G_sample)
+    
+    # 3. Generate swapping (X, tilde X)
+    SwapA = S * X + (1-S) * G_sample
+    SwapB = (1-S) * X + S * G_sample
+    
+    # 4. Discriminator output 
+    # (X, tilde X) is SwapA, SwapB. Hint is generated by H * S 
+    D_out = discriminator(SwapA, SwapB, H*S)    
+    
+    # 5. MINE Computation
+    # Without permutation
+    M_out, _ = MINE(X, G_sample)
+    # Wit permutation
+    _, Exp_M_out = MINE(X_hat, G_sample)
+    
+    # 6. WGAN Loss Replacement of Clipping algorithm to Penalty term
+    # 1. Line 6 in Algorithm 1
+    eps = tf.random_uniform([mb_size, 1], minval = 0., maxval = 1.)
+    X_inter = eps*X + (1. - eps) * G_sample
+    
+    # 2. Line 7 in Algorithm 1
+    grad = tf.gradients(WGAN_discriminator(X_inter), [X_inter])[0]
+    grad_norm = tf.sqrt(tf.reduce_sum((grad)**2 + 1e-8, axis = 1))
+    grad_pen = lam * tf.reduce_mean((grad_norm - 1)**2)
+    
+    #%% Loss function
+    # 1. WGAN Loss
+    WD_loss = tf.reduce_mean(WD_fake) - tf.reduce_mean(WD_real) + grad_pen
+    
+    # 2. Discriminator loss
+    D_loss = -tf.reduce_mean(S * (1-H) * tf.log(D_out + 1e-8) + (1-S) * (1-H) * tf.log(1 - D_out + 1e-8))   
+    
+    # 3. MINE Loss
+    M_loss = tf.reduce_sum( tf.reduce_mean(M_out, axis = 0) - tf.log(tf.reduce_mean(Exp_M_out, axis = 0)) )
+    
+    # 4. Generator loss
+    G_loss =  - D_loss + mu * -tf.reduce_mean(WD_fake) + lamda * M_loss
+    
+    # Solver
+    WD_solver = (tf.train.AdamOptimizer(learning_rate = lr, beta1 = 0.5).minimize(WD_loss, var_list = theta_WD))
+    D_solver = (tf.train.AdamOptimizer(learning_rate = lr, beta1 = 0.5).minimize(D_loss, var_list = theta_D))
+    G_solver = (tf.train.AdamOptimizer(learning_rate = lr, beta1 = 0.5).minimize(G_loss, var_list = theta_G))
+    M_solver = (tf.train.AdamOptimizer(learning_rate = lr, beta1 = 0.5).minimize(-M_loss, var_list = theta_M))
+            
+        
+    #%% Sessions
+    if tf_debug:
+        sess = tf.Session(config=config)
+        sess.run(tf.global_variables_initializer(), options=run_opts)
+    else:
+        sess = tf.Session()
+        sess.run(tf.global_variables_initializer())
+
+    #%% Iterations
+    for it in tqdm(range(niter)):
+
+        for dummy_range in range(5):
+            #%% WGAN, Discriminator and MINE Training    
+            
+            # Random variable generation
+            Z_mb = sample_Z(mb_size, z_dim, x_name)            
+                
+            # Minibatch sampling
+            X_idx = sample_X(n,mb_size)        
+            X_mb = x_train[X_idx,:].copy()
+            X_perm_mb = Permute(X_mb)
+            
+            # Swap generation
+            S_mb = sample_SH(mb_size, x_dim, 0.5)
+            
+            # Hint generation
+            H_mb = sample_SH(mb_size, x_dim, 0.9)
+                
+            # 1. WGAN Training
+            _, WD_loss_curr = sess.run([WD_solver, WD_loss], feed_dict = {X: X_mb, Z: Z_mb, X_hat: X_perm_mb, S: S_mb, H: H_mb}, options=run_opts)
+            
+            # 2. Discriminator Training
+            # print('discriminator training')
+            _, D_loss_curr = sess.run([D_solver, D_loss], feed_dict = {X: X_mb, Z: Z_mb, X_hat: X_perm_mb, S: S_mb, H: H_mb}, options=run_opts)
+            
+            # 3. MINE Training
+            # print('mine training')
+            _, M_loss_curr = sess.run([M_solver, M_loss], feed_dict = {X: X_mb, Z: Z_mb, X_hat: X_perm_mb, S: S_mb, H: H_mb}, options=run_opts)            
+                        
+        #%% Generator Training
+        
+        # Random variable generation                
+        Z_mb = sample_Z(mb_size, z_dim, x_name)             
+                
+        # Minibatch sampling
+        X_idx = sample_X(n,mb_size)        
+        X_mb = x_train[X_idx,:].copy()
+        X_perm_mb = Permute(X_mb)
+                        
+        # Swap generation
+        S_mb = sample_SH(mb_size, x_dim, 0.5)
+            
+        # Hint generation
+        H_mb = sample_SH(mb_size, x_dim, 0.0)
+        
+        # Generator training
+        # print('gen training')
+        _, G_loss_curr, G_sample_curr = sess.run([G_solver, G_loss, G_sample], feed_dict = {X: X_mb, Z: Z_mb, X_hat: X_perm_mb, S: S_mb, H: H_mb}, options=run_opts)
+      
+    #%% Output
+    #print('last session run')
+    X_knockoff = sess.run([G_sample], feed_dict = {X: x_train, Z: sample_Z(n, z_dim, x_name)}, options=run_opts)[0]
+    # X_knockoff = sess.run([G_sample], feed_dict = {X: x_train, Z: sample_Z(n, z_dim, x_name)})[0]
+    #print('closing session')
+    sess.close()
+    tf.reset_default_graph()
+    return X_knockoff
+
+
+def init_arg():
+    parser = argparse.ArgumentParser()
+    parser.add_argument(
+        '-i')
+    parser.add_argument(
+        '-o')
+    parser.add_argument(
+        '--bs', default=128, type=int)
+    parser.add_argument(
+        '--it', default=2000, type=int)
+    parser.add_argument(
+        '--target')
+    parser.add_argument(
+        '--xname', default='Normal', help='Sample distribution [Normal, Uniform]')
+    parser.add_argument(
+        '--scale', default=1, type=int)
+    return parser.parse_args()
+
+
+if __name__ == "__main__":
+
+    args = init_arg()
+    df = pd.read_csv(args.i)
+    niter = args.it
+    use_scale = args.scale
+    x_name = args.xname
+    lbl = args.target
+    features = list(df.columns)
+    features.remove(lbl)
+
+    # scale/normalize dataset
+    range_scaler = (0, 1)
+    scaler = MinMaxScaler(feature_range=range_scaler)
+
+    x = df[features]
+
+    if use_scale:
+        scaler.fit(x)
+        x = scaler.transform(x)
+    else:
+        x = x.values
+
+    x_k = KnockoffGAN(
+        x,
+        x_name,
+        mb_size=args.bs,
+        niter=niter)
+    df_k = pd.DataFrame(x_k, columns=features)
+    df_k[lbl] = df[lbl]
+    df_k.to_csv(args.o, index=False)
diff --git a/alg/knockoffgan/README.md b/alg/knockoffgan/README.md
new file mode 100644
index 00000000..fc5d2e36
--- /dev/null
+++ b/alg/knockoffgan/README.md
@@ -0,0 +1,18 @@
+# Knockoff GAN
+
+Written by Jinsung Yoon
+[Knockoff Gan](https://openreview.net/forum?id=ByeZ5jC5YQ): "*generating knockoffs for feature selection using generative adversarial networks*". 
+Contact: jsyoon0823@g.ucla.edu
+
+## Usage
+
+See also tutorial
+
+```
+Rscript knockoffgan.r -i <csv> --target <label>  --fdr <false discovery rate> -o <json file> --stat <rf|glm>
+```
+
+
+
+
+
diff --git a/alg/knockoffgan/gen_data.r b/alg/knockoffgan/gen_data.r
new file mode 100644
index 00000000..2da52028
--- /dev/null
+++ b/alg/knockoffgan/gen_data.r
@@ -0,0 +1,67 @@
+# based upon R Tutorial for Knockoffs : https://web.stanford.edu/group/candes/knockoffs/software/knockoffs
+#
+# Creating an artificial problem Let us begin by creating some
+# synthetic data. For simplicity, we will use synthetic data
+# constructed from a generalized linear model such that the response
+# only depends on a small fraction of the variables.
+
+load_install_packages <- function(list.of.packages) {
+    new.packages <- list.of.packages[!(list.of.packages %in% installed.packages()[,"Package"])]
+    if(length(new.packages)) install.packages(new.packages,repos="http://cran.cnr.Berkeley.edu/")
+    for (i in list.of.packages) {
+        library(i,character.only=T)
+    }
+}
+
+load_install_packages(c("argparse"))
+
+init_arg <- function() {
+    parser <- ArgumentParser(description='')
+    parser$add_argument('-o', type="character")
+    parser$add_argument('--ojson', type="character")
+    parser$add_argument('--target', default='label', type="character")
+    return (parser)
+}
+
+args <- init_arg()$parse_args()
+lbl <- args$target
+fn_csv <- args$o
+fn_json <- args$ojson
+
+set.seed(12345)
+
+                   # parameters generation of synthetic data
+n = 3000           # number of observations
+p = 100            # number of variables
+k = 10             # number of variables with nonzero coefficients
+amplitude = 2*7.5  # signal amplitude
+
+# Generate the variables from a multivariate normal distribution
+mu = rep(0,p)
+rho = 0.10
+Sigma = toeplitz(rho^(0:(p-1))) # diagnal const
+
+
+X = matrix(rnorm(n*p),n) %*% chol(Sigma)  # rnorm(n, mean = , sd = ) is used to generate n normal random numbers with arguments mean and sd ; , %*% is matrix multiplication
+
+# Generate the response from a logistic model and encode it as a factor.
+nonzero = sample(p, k)
+beta = amplitude * (1:p %in% nonzero) / sqrt(n)
+invlogit = function(x) exp(x) / (1+exp(x))
+y.sample = function(x) rbinom(n, prob=invlogit(x %*% beta), size=1)
+y = factor(y.sample(X), levels=c(0,1), labels=c("A","B"))
+
+df_syn= as.data.frame(X)
+df_syn[, lbl] = y
+write.csv(df_syn, file=fn_csv, row.names=FALSE)
+features <- names(df_syn)[names(df_syn) != lbl]
+result_json = sprintf('{ "features_selected": [\"%s\" ], "features": ["%s"]}',
+    paste(features[nonzero], collapse='","'),
+    paste(features, collapse='","'))
+
+print(sprintf("# samples:%d, # explanatory variables:%d, relevant variables: # %d) : %s",
+              NROW(df_syn),
+              NCOL(df_syn) - 1,
+              length(nonzero),
+              paste(features[nonzero], collapse=',')))
+write(result_json, file=fn_json)
diff --git a/alg/knockoffgan/initpath_alg.py b/alg/knockoffgan/initpath_alg.py
new file mode 100644
index 00000000..c6272959
--- /dev/null
+++ b/alg/knockoffgan/initpath_alg.py
@@ -0,0 +1,11 @@
+def init_sys_path():
+    import os
+    import sys
+    depth = 2
+    path = os.path.dirname(os.path.realpath(__file__))
+    for d in range(depth):
+        path = os.path.join(path, os.pardir)
+    proj_dir = os.path.abspath(path)
+    sys.path.append(os.path.join(proj_dir, 'init'))
+    import initpath
+    initpath.platform_init_path(proj_dir)
diff --git a/alg/knockoffgan/knockoffgan.r b/alg/knockoffgan/knockoffgan.r
new file mode 100644
index 00000000..190fa1e8
--- /dev/null
+++ b/alg/knockoffgan/knockoffgan.r
@@ -0,0 +1,149 @@
+
+load_install_packages <- function(list.of.packages) {
+    new.packages <- list.of.packages[!(list.of.packages %in% installed.packages()[,"Package"])]
+    if(length(new.packages)) install.packages(new.packages,repos="http://cran.cnr.Berkeley.edu/")
+    for (i in list.of.packages) {
+        library(i,character.only=T)
+    }
+}
+
+load_install_packages(c("knockoff", "argparse", "rjson", "ranger", "doMC"))
+
+init_arg <- function() {
+    parser <- ArgumentParser(description='knockoff gan')
+    parser$add_argument('--it', type="integer", default=2000, help="number of GAN iterations")
+    parser$add_argument('--target', type="character", help="column name with target/response values")
+    parser$add_argument('-i', type="character", help="input data in csv format")
+    parser$add_argument('-o', type="character", help="json output file name")
+    parser$add_argument('--fdr', type="double", default=0.1)
+    parser$add_argument('--usegan', type="integer", default=1)
+    parser$add_argument('--scale', type="integer", default=1)
+    parser$add_argument('--verbose', type="integer", default=1)
+    parser$add_argument('--exe', type="character", default="python3", help="name of python interpreter, typically python3 or python" )
+    parser$add_argument('--projdir', type="character")
+    parser$add_argument(
+        '--replication', 
+        type="integer",
+        default=20,
+        help="number of evaluations over which the results are collected")
+    parser$add_argument('--stat', type="character", default='rf', help="Importance statistics based on .. random forest (rf), glmnet_coefdiff (glm)")
+    return (parser)
+}
+
+
+get_selected_features <- function(selected_lst, max_it) {
+    selected_a <- matrix(0, nrow = 1, ncol=dim(X)[2])
+    for (i in 1:length(selected_lst)) {
+        if (use_verbose) {
+            print(sprintf("%d) %s", i, paste(selected_lst[[i]], collapse=" ")))
+        }
+        selected_a[1, selected_lst[[i]]] <- selected_a[1,selected_lst[[i]]] + 1
+    }
+    if (use_verbose) {
+        print("")
+    }
+    return (which(selected_a[1,] > (max_it/2)))
+}
+
+
+args <- init_arg()$parse_args()
+python_exe <- args$exe
+niter <- args$it
+fn_src <- args$i
+lbl <- args$target
+fdr_threshold <- args$fdr
+use_gan <- args$usegan
+use_scale <- args$scale
+use_verbose <- args$verbose
+num_iterations <- args$replication
+stat_type <- args$stat
+fn_json <- args$o
+proj_dir <- args$projdir
+
+df = read.csv(fn_src)
+
+stopifnot(is.element(lbl, names(df)))
+
+features = names(df)
+
+
+features = features[features != lbl]
+X = as.matrix(df[, features])
+y = as.matrix(df[, lbl])
+
+num_categories = length(unique(y))
+if (num_categories != 2) {
+    print(sprintf("error: target %s is not binary: %d): %s",
+                  lbl,
+                  num_categories,
+                  paste0(unique(y), collapse=" ")))
+}
+
+stopifnot(num_categories == 2)
+
+nfeatures = dim(X)[2]
+
+selected_lst <- list()
+fn_knockoff <- tempfile()
+if (!dir.exists(dirname(fn_knockoff))) {
+   dir.create(dirname(fn_knockoff))
+}
+for (it in 1:num_iterations) {
+    if (!use_gan) {
+        mu = rep(0, nfeatures)
+        rho = 0.10
+        Sigma = toeplitz(rho^(0:(nfeatures-1))) # diagnal const
+        diag_s = create.solve_asdp(Sigma)
+        X_k = create.gaussian(X, mu, Sigma, diag_s=diag_s)
+    } else {
+        script_bs <- "KnockoffGAN.py"
+        if (length(proj_dir)) {
+            script <- sprintf("%s/alg/knockoffgan/%s", proj_dir, script_bs)
+        } else {
+            script <- script_bs
+        }
+      	cmd <- sprintf("%s %s -i %s -o %s --target %s --it %d --scale %d",
+	                python_exe, script, fn_src, fn_knockoff, lbl, niter, use_scale)
+        print(cmd)		
+        rval <- system(cmd)
+        stopifnot(!rval)
+        print(sprintf("reading %s", fn_knockoff))
+        df_k = read.csv(fn_knockoff)
+        X_k = as.matrix(df_k[, names(df_k) != lbl])
+    }
+    if (stat_type=="rf") {
+        W = stat.random_forest(X, X_k, y, family="binomial")
+    } else if (stat_type=="glm") {
+        W = stat.glmnet_coefdiff(X, X_k, y, family="binomial")
+    } else {
+        stopifnot(FALSE)
+    }
+    t = knockoff.threshold(W, fdr=fdr_threshold, offset=1)
+    selected = which(W >= t)
+    selected_lst[[it]] <- selected
+    print(sprintf("%d) selected: %s", it, paste(selected_lst[[it]], collapse=" ")))
+    selected_avg <- get_selected_features(selected_lst, it)
+    print(sprintf("%d,%d)) average selected: %d) %s",
+                  it,
+                  num_iterations,
+                  length(selected_avg),
+                  paste(features[selected_avg], collapse=" ")))
+}
+
+selected_final <- get_selected_features(selected_lst, length(selected_lst))
+
+print(
+    sprintf(
+        "fdr %0.2f #%d,%d,%0.2f%%) (th %0.0f) : %s",
+        fdr_threshold,
+        length(selected_final), nfeatures, length(selected_final)/nfeatures,
+        num_iterations/2,
+        paste(features[selected_final], collapse=" ")))
+
+result_json = sprintf('{ "features_selected": [\"%s\" ], "features": ["%s"]}',
+    paste(features[selected_final], collapse='","'),
+    paste(features, collapse='","'))
+if (length(fn_json)) {
+    write(result_json, file=fn_json)
+}
+file.remove(fn_knockoff)
diff --git a/alg/knockoffgan/test_knockoffgan.py b/alg/knockoffgan/test_knockoffgan.py
new file mode 100644
index 00000000..f6722297
--- /dev/null
+++ b/alg/knockoffgan/test_knockoffgan.py
@@ -0,0 +1,159 @@
+'''
+Test script knockoffGAN: it executes the tutorial notebook
+'''
+import sys
+import os
+import argparse
+from pathlib import Path
+import pandas as pd
+import json
+from sklearn.datasets import load_breast_cancer
+from sklearn.datasets import fetch_covtype
+import initpath_alg
+initpath_alg.init_sys_path()
+import utilmlab    
+
+
+def set_filenames(odir):
+    utilmlab.ensure_dir(odir)
+    fn_csv = '{}/data.csv.gz'.format(odir)
+    return fn_csv
+
+
+def init_arg():
+    parser = argparse.ArgumentParser()
+    parser.add_argument('--exe', help='python interpreter to use')
+    parser.add_argument('--projdir')
+    parser.add_argument('--it', default=2000, type=int)
+    parser.add_argument('--replication', default=20, type=int)
+    return parser.parse_args()
+
+
+if __name__ == '__main__':
+
+    args = init_arg()
+
+    if args.exe is not None:
+        python_exe = args.exe
+    else:
+        python_exe = 'python' if sys.version_info[0] < 3 else 'python3'
+
+    proj_dir = utilmlab.get_proj_dir() \
+        if args.projdir is None else args.projdir
+
+    alg = 'knockoffgan'
+    version = 1
+    niter = args.it
+    nreplication = args.replication
+
+    resdir = '{}/result/{}/v_{}/h_{}'.format(
+        proj_dir,
+        alg,
+        version,
+        os.environ['HOSTNAME'] if 'HOSTNAME' in os.environ else 'unknown')
+
+    utilmlab.ensure_dir(resdir)
+
+    logger = utilmlab.init_logger(
+        resdir,
+        'log_test_knockoffgan_{}.txt'.format(utilmlab.get_hostname()))
+
+    script = Path('{}/alg/knockoffgan/knockoffgan.r'.format(proj_dir))
+
+    for dataset, nsample, sep, generate_error in [
+            ('bc', 0, ',', 0),
+            ('cover', 5000, ',', 1)]:
+
+        odir = '{}/misc/dataset_{}'.format(resdir, dataset)
+
+        fn_csv = set_filenames(odir)
+
+        if dataset == 'bc':
+            x, y = load_breast_cancer(return_X_y=True)
+        elif dataset == 'cover':
+            x, y = fetch_covtype(return_X_y=True)
+        else:
+            assert 0
+
+        lbl = 'target'
+        df = pd.DataFrame(x)
+        df[lbl] = y
+        df.to_csv(
+            fn_csv,
+            index=False,
+            compression='gzip',
+            sep=sep)
+
+        try:
+            utilmlab.exe_cmd(
+                logger,
+                'Rscript {} -i {} --target {} --exe {} --it {} '
+                ' --replication {} --projdir {}' .format(
+                    script,
+                    fn_csv,
+                    lbl,
+                    python_exe,
+                    niter,
+                    nreplication,
+                    proj_dir
+                ),
+                assert_on_error=not generate_error  # assert if an error is not expected
+            )
+        except:
+            if generate_error:
+                logger.info('expected error generated')
+                pass
+            assert 0
+
+    fn_data_csv = '{}/data.csv'.format(resdir)
+    fn_json = '{}/generated_data_properties.json'.format(resdir)
+
+    utilmlab.exe_cmd(
+        logger,
+        'Rscript {}/alg/knockoffgan/gen_data.r -o {} --target {} '
+        ' --ojson {}'.format(proj_dir, fn_data_csv, lbl, fn_json))
+
+    with open(fn_json, "r") as fp:
+        features_gen_data = json.load(fp)
+    logger.info('relevant variables:{}'.format(
+        features_gen_data['features_selected']))
+
+    false_discovery_rate = 0.1
+    stat = "glm"  # Importance statistics based on glmnet_coefdiff (glm)
+    fn_json_ko = '{}/result_knockoff_gan.json'.format(resdir)
+    utilmlab.exe_cmd(
+        logger,
+        'Rscript {} -i {} --target {} --it {} --fdr {} --replication {} '
+        ' -o {} --stat {} --exe {} --projdir {}'.format(
+            script,
+            fn_data_csv,
+            lbl,
+            niter,
+            false_discovery_rate,
+            nreplication,
+            fn_json_ko,
+            stat,
+            python_exe,
+            proj_dir))
+
+    with open(fn_json_ko, 'r') as fp:
+        result = json.load(fp)
+
+    agree_set = set(result['features_selected']).intersection(set(
+        features_gen_data['features_selected']))
+    disagree_set = set(result['features_selected']) - set(
+        features_gen_data['features_selected'])
+
+    logger.info('relevant explanatory variables:{}\n'.format(
+        result['features_selected']))
+    logger.info('agreement generated and detectect explanatory '
+                'variables:{}) {}'.format(
+                    len(agree_set), agree_set))
+    logger.info('disagreement: {}'.format(
+        disagree_set if len(disagree_set) else '-'))
+
+    assert len(disagree_set)  <= (false_discovery_rate * len(features_gen_data['features_selected']) + 1)
+    assert len(agree_set)  == len(features_gen_data['features_selected'])
+    logger.info('pass')
+
+    logger.info('-*-')
diff --git a/alg/knockoffgan/tutorial_knockoffgan.ipynb b/alg/knockoffgan/tutorial_knockoffgan.ipynb
new file mode 100644
index 00000000..64849e96
--- /dev/null
+++ b/alg/knockoffgan/tutorial_knockoffgan.ipynb
@@ -0,0 +1,145 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "This tutorial shows how to use [Knockoff Gan](https://openreview.net/forum?id=ByeZ5jC5YQ): \"*generating knockoffs for feature selection using generative adversarial networks*\". This implemenation uses both R and python3 including tensorflow. Please make sure that all the depencies are installed by following the installation procedure.\n",
+    "\n",
+    "We generate a data file with synthetic data so we know the relation between the explanatory variables and response variable - see also [knockoffs](https://web.stanford.edu/group/candes/knockoffs/software/knockoffs): "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "fn_data_csv = \"data.csv\"\n",
+    "target = \"label\"\n",
+    "fn_json = \"generated_data_properties.json\"\n",
+    "!Rscript gen_data.r  -o {fn_data_csv} --target {target} --ojson {fn_json}"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Show first five rows of generated data:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "df = pd.read_csv(fn_data_csv)\n",
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Show the relevant variables retrieved from the properties file:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import json\n",
+    "with open(fn_json, \"r\") as fp:\n",
+    "    features_gen_data = json.load(fp)\n",
+    "print('relevant variables:{}'.format(features_gen_data['features_selected']))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "niter = 2000 # number iterations GAN\n",
+    "rep = 20 # numbers of repeated runs from which the selected features will be collected\n",
+    "false_discovery_rate = 0.1\n",
+    "stat = \"glm\" # Importance statistics based on glmnet_coefdiff (glm)\n",
+    "fn_json_ko = \"result_knockoff_gan.json\"\n",
+    "python_exe = \"python3\" # on some systems this is python\n",
+    "\n",
+    "!Rscript knockoffgan.r -i {fn_data_csv} --target {target} --it {niter}  --fdr {false_discovery_rate} --replication {rep}  -o {fn_json_ko} --stat {stat} --exe {python_exe}"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Compared knockoff gan results with generated data properties:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import json\n",
+    "\n",
+    "fn_json_ko = \"result_knockoff_gan.json\"\n",
+    "\n",
+    "with open(fn_json_ko,'r') as fp:\n",
+    "    result = json.load(fp)\n",
+    "\n",
+    "agree_set = set(result['features_selected']).intersection(set(features_gen_data['features_selected']))\n",
+    "disagree_set = set(result['features_selected']) - set(features_gen_data['features_selected'])\n",
+    "    \n",
+    "print('relevant explanatory variables:{}\\n'.format(result['features_selected']))\n",
+    "print('agreement generated and detectect explanatory variables:{}) {}'.format(len(agree_set), agree_set))\n",
+    "print('disagreement: {}'.format(disagree_set if len(disagree_set) else '-'))\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Validate results:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "assert len(disagree_set)  <= (false_discovery_rate * len(features_gen_data['features_selected']) + 1)\n",
+    "assert len(agree_set)  == len(features_gen_data['features_selected'])            \n",
+    "print('pass')"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/alg/pategan/PATE_GAN.py b/alg/pategan/PATE_GAN.py
new file mode 100644
index 00000000..0da5d2ff
--- /dev/null
+++ b/alg/pategan/PATE_GAN.py
@@ -0,0 +1,226 @@
+'''
+Jinsung Yoon (0*/13/2018)
+PATEGAN
+'''
+
+#%% Packages
+import tensorflow as tf
+import numpy as np
+from tqdm import tqdm
+
+#%% Function Start
+
+def PATE_GAN(X_train, Y_train, X_test, Y_test, epsilon, delta, niter, num_teachers):
+
+    #%% Parameters
+    # Batch size    
+    mb_size = 128
+    
+    # Feature no
+    X_dim = len(X_train[0,:])
+    
+    # Sample no
+    no = len(X_train[:,0])
+        
+    # Random variable dimension
+    z_dim = int(X_dim/4)
+    
+    # Hidden unit dimensions
+    h_dim = int(X_dim)
+    
+    C_dim = 1
+            
+    # WGAN-GP Parameters
+    lam = 10
+    lr = 1e-4    
+    
+    lamda =np.sqrt(2*np.log(1.25*(10^(delta))))/epsilon
+
+    #%% Data Preprocessing
+    X_train = np.asarray(X_train)
+    
+    #%% Data Normalization
+    Min_Val = np.min(X_train,0)
+    
+    X_train = X_train - Min_Val
+    
+    Max_Val = np.max(X_train,0)
+    
+    X_train = X_train / (Max_Val + 1e-8)
+    
+    #%% Algorithm Start
+
+    #%% Necessary Functions
+
+    # Xavier Initialization Definition
+    def xavier_init(size):
+        in_dim = size[0]
+        xavier_stddev = 1. / tf.sqrt(in_dim / 2.)
+        return tf.random_normal(shape = size, stddev = xavier_stddev)    
+        
+    # Sample from uniform distribution
+    def sample_Z(m, n):
+        return np.random.uniform(-1., 1., size = [m, n])
+        
+    # Sample from the real data
+    def sample_X(m, n):
+        return np.random.permutation(m)[:n]  
+     
+    #%% Placeholder
+    
+    # Feature
+    X = tf.placeholder(tf.float32, shape = [None, X_dim])      
+    # Label
+    Y = tf.placeholder(tf.float32, shape = [None, C_dim])  
+    # Random Variable    
+    Z = tf.placeholder(tf.float32, shape = [None, z_dim])
+    # Conditional Variable
+    M = tf.placeholder(tf.float32, shape = [None, C_dim])
+      
+#%% Discriminator
+    # Discriminator
+    D_W1 = tf.Variable(xavier_init([X_dim + C_dim, h_dim]))
+    D_b1 = tf.Variable(tf.zeros(shape=[h_dim]))
+
+    D_W2 = tf.Variable(xavier_init([h_dim,h_dim]))
+    D_b2 = tf.Variable(tf.zeros(shape=[h_dim]))
+    
+    D_W3 = tf.Variable(xavier_init([h_dim,1]))
+    D_b3 = tf.Variable(tf.zeros(shape=[1]))
+
+    theta_D = [D_W1, D_W2, D_W3, D_b1, D_b2, D_b3]
+    
+    #%% Generator
+
+    G_W1 = tf.Variable(xavier_init([z_dim + C_dim, h_dim]))
+    G_b1 = tf.Variable(tf.zeros(shape=[h_dim]))
+
+    G_W2 = tf.Variable(xavier_init([h_dim,h_dim]))
+    G_b2 = tf.Variable(tf.zeros(shape=[h_dim]))
+
+    G_W3 = tf.Variable(xavier_init([h_dim,X_dim]))
+    G_b3 = tf.Variable(tf.zeros(shape=[X_dim]))
+    
+    theta_G = [G_W1, G_W2, G_W3, G_b1, G_b2, G_b3]
+
+    #%% Functions
+    def generator(z, y):
+        inputs = tf.concat([z,y], axis = 1)
+        G_h1 = tf.nn.tanh(tf.matmul(inputs, G_W1) + G_b1)
+        G_h2 = tf.nn.tanh(tf.matmul(G_h1, G_W2) + G_b2)
+        G_log_prob = tf.nn.sigmoid(tf.matmul(G_h2, G_W3) + G_b3)
+        
+        return G_log_prob
+    
+    def discriminator(x, y):
+        inputs = tf.concat([x,y], axis = 1)
+        D_h1 = tf.nn.relu(tf.matmul(inputs, D_W1) + D_b1)
+        D_h2 = tf.nn.relu(tf.matmul(D_h1, D_W2) + D_b2)
+        out = (tf.matmul(D_h2, D_W3) + D_b3)
+        
+        return out
+      
+    #%% 
+    # Structure
+    G_sample = generator(Z, Y)
+    D_real = discriminator(X, Y)
+    D_fake = discriminator(G_sample, Y)
+
+    #%%
+    D_entire = tf.concat(axis = 0, values = [D_real, D_fake])    
+    
+    #%%
+
+    # Replacement of Clipping algorithm to Penalty term
+    # 1. Line 6 in Algorithm 1
+    eps = tf.random_uniform([mb_size, 1], minval = 0., maxval = 1.)
+    X_inter = eps*X + (1. - eps) * G_sample
+
+    # 2. Line 7 in Algorithm 1
+    grad = tf.gradients(discriminator(X_inter, Y), [X_inter, Y])[0]
+    grad_norm = tf.sqrt(tf.reduce_sum((grad)**2 + 1e-8, axis = 1))
+    grad_pen = lam * tf.reduce_mean((grad_norm - 1)**2)
+
+    # Loss function
+    D_loss = tf.reduce_mean((1-M) * D_entire) - tf.reduce_mean(M * D_entire) + grad_pen
+    G_loss = -tf.reduce_mean(D_fake)
+
+    # Solver
+    D_solver = (tf.train.AdamOptimizer(learning_rate = lr, beta1 = 0.5).minimize(D_loss, var_list = theta_D))
+    G_solver = (tf.train.AdamOptimizer(learning_rate = lr, beta1 = 0.5).minimize(G_loss, var_list = theta_G))
+            
+    #%%
+    # Sessions
+    sess = tf.Session()
+    sess.run(tf.global_variables_initializer())
+        
+    #%%
+    # Iterations
+    for it in tqdm(range(niter)):
+
+        for _ in range(num_teachers):
+            #%% Teacher Training            
+            Z_mb = sample_Z(mb_size, z_dim)            
+            
+            # Teacher 1
+            X_idx = sample_X(no,mb_size)        
+            X_mb = X_train[X_idx,:]  
+            
+            Y_mb = np.reshape(Y_train[X_idx], [mb_size,1])
+            
+            #%%
+            
+            M_real = np.ones([mb_size,])
+            M_fake = np.zeros([mb_size,])
+
+            M_entire = np.concatenate((M_real, M_fake),0)
+                        
+            Normal_Add = np.random.normal(loc=0.0, scale=lamda, size = mb_size*2)
+    
+            M_entire = M_entire + Normal_Add
+            
+            M_entire = (M_entire > 0.5)            
+            
+            M_mb = np.reshape(M_entire.astype(float), (2*mb_size,1))
+            
+            _, D_loss_curr = sess.run([D_solver, D_loss], feed_dict = {X: X_mb, Z: Z_mb, M: M_mb, Y: Y_mb})
+            
+                    
+        #%% Generator Training
+                    
+        Z_mb = sample_Z(mb_size, z_dim)   
+        
+        X_idx = sample_X(no,mb_size)        
+        X_mb = X_train[X_idx,:]  
+            
+        Y_mb = np.reshape(Y_train[X_idx], [mb_size,1])
+                    
+        _, G_loss_curr = sess.run([G_solver, G_loss], feed_dict = {Z: Z_mb, Y: Y_mb})
+
+    #%%       
+
+    #%% Output Generation
+    
+    New_X_train = sess.run([G_sample], feed_dict = {Z: sample_Z(len(X_train[:,0]), z_dim), Y: np.reshape(Y_train, [len(Y_train),1])})
+
+    New_X_train = New_X_train[0]
+    
+    #### Renormalization
+        
+    New_X_train = New_X_train * (Max_Val + 1e-8)
+    
+    New_X_train = New_X_train + Min_Val
+    
+    ## Testing
+    
+    New_X_test = sess.run([G_sample], feed_dict = {Z: sample_Z(len(X_test[:,0]), z_dim), Y: np.reshape(Y_test, [len(Y_test),1])})
+
+    New_X_test = New_X_test[0]
+    
+    #### Renormalization
+        
+    New_X_test = New_X_test * (Max_Val + 1e-8)
+    
+    New_X_test = New_X_test + Min_Val
+    
+    return New_X_train, Y_train, New_X_test, Y_test
diff --git a/alg/pategan/README.md b/alg/pategan/README.md
new file mode 100644
index 00000000..9b4fcd57
--- /dev/null
+++ b/alg/pategan/README.md
@@ -0,0 +1,20 @@
+# Pategan
+
+Written by Jinsung Yoon
+[PATE-GAN](https://openreview.net/forum?id=S1zk9iRqF7) J. Yoon, J. Jordon, M. van der Schaar, "PATE-GAN: Generating Synthetic Data with Differential Privacy Guarantees," International Conference on Learning Representations (ICLR), 2019
+Contact: jsyoon0823@g.ucla.edu
+
+
+## Usage
+
+see also tutorial_pategan.ipynb
+
+```
+python3 pategan_main.py -h # help, overview command line arguments
+
+python3 pategan_main.py # run with default arguments
+
+python3 test_pategan.py  # unit test
+```
+
+
diff --git a/alg/pategan/initpath_alg.py b/alg/pategan/initpath_alg.py
new file mode 100644
index 00000000..20c5a003
--- /dev/null
+++ b/alg/pategan/initpath_alg.py
@@ -0,0 +1,12 @@
+def init_sys_path():
+    import os
+    import sys
+    proj_dir = os.path.abspath(
+        os.path.join(
+            os.path.join(
+                os.path.dirname(os.path.realpath(__file__)),
+                os.pardir),
+            os.pardir))
+    sys.path.append(os.path.join(proj_dir, 'init'))
+    import initpath
+    initpath.platform_init_path(proj_dir)
diff --git a/alg/pategan/pategan.py b/alg/pategan/pategan.py
new file mode 100644
index 00000000..360c0f51
--- /dev/null
+++ b/alg/pategan/pategan.py
@@ -0,0 +1,129 @@
+"""
+Jinsung Yoon (9/13/2018)
+PATE-GAN: Synthetic Data Generation 
+"""
+import numpy as np
+from PATE_GAN import PATE_GAN
+import argparse
+import os
+import time
+import pandas as pd
+import initpath_alg
+initpath_alg.init_sys_path()
+import utilmlab
+
+
+# gpu_frac = 0.5
+# config = tf.ConfigProto()
+# config.gpu_options.per_process_gpu_memory_fraction = gpu_frac
+# set_session(tf.Session(config=config))
+
+
+def df_split_random(df, train_rate=0.8):
+    idx = np.random.permutation(len(df))
+
+    train_idx = idx[:int(train_rate * len(df))]
+    test_idx = idx[int(train_rate * len(df)):]
+        
+    df_train = df.iloc[train_idx]
+    df_test = df.iloc[test_idx, :]
+    return df_train, df_test
+
+
+def init_arg():
+    parser = argparse.ArgumentParser()
+    parser.add_argument("--otrain")
+    parser.add_argument("--otest")
+    parser.add_argument("--itrain")
+    parser.add_argument("--itest")
+    parser.add_argument("--iter", type=int, default=10000)
+    parser.add_argument("--epsilon", type=float, default=1)
+    parser.add_argument("--delta", type=int, default=5)
+    parser.add_argument("--teachers", type=int, default=5)
+    parser.add_argument(
+        "--target",
+        help='name of response var when using csv as input')
+    parser.add_argument(
+        "--separator",
+        default=',',
+        help="separator csv file")
+    return parser.parse_args()
+
+
+if __name__ == '__main__':
+
+    args = init_arg()
+    target = args.target.split(',')
+    sep = args.separator
+
+    fn_i_train = args.itrain
+    fn_i_test = args.itest
+    fn_o_train = args.otrain
+    fn_o_test = args.otest
+
+    num_teachers = args.teachers
+    niter = args.iter
+    epsilon = args.epsilon
+    delta = args.delta
+
+    assert fn_i_train is not None
+    assert fn_i_test is not None
+    assert fn_o_train is not None
+    assert fn_o_test is not None
+    assert target is not None
+
+    logger = utilmlab.init_logger(os.path.dirname(fn_o_train))
+
+    logger.info('loading {} target:{} sep:{}'.format(
+        (fn_i_train, fn_i_test),
+        target,
+        sep))
+
+    df_train = pd.read_csv(fn_i_train, sep=sep)
+    df_test = pd.read_csv(fn_i_test, sep=sep)
+
+    features = list(df_train.columns)
+    for lbl in target:
+        assert lbl in features
+        features.remove(lbl)
+
+    logger.info('features:{} {}'.format(len(features), features))
+    logger.info('target:{}'.format(target))
+    logger.info('epsilon:{} delta:{}'.format(epsilon, delta))
+
+    time_exe_start = time.time()
+
+    x_train_new, y_train_new, x_test_new, y_test_new = PATE_GAN(
+        df_train[features].values,
+        df_train[target].values,
+        df_test[features].values,
+        df_test[target].values,
+        epsilon,
+        delta,
+        niter,
+        num_teachers)
+
+    cols = features
+    cols.append(target[0])
+
+    df_train_new = pd.DataFrame(
+        np.hstack(
+            [x_train_new,
+             y_train_new.reshape(len(y_train_new), -1)]),
+        columns=cols)
+
+    df_test_new = pd.DataFrame(
+        np.hstack(
+            [x_test_new,
+             y_test_new.reshape(len(y_test_new), -1)]),
+        columns=cols)
+
+    df_train_new.to_csv(
+        fn_o_train,
+        index=False,
+        compression=utilmlab.get_df_compression(fn_o_train))
+
+    df_test_new.to_csv(
+        fn_o_test,
+        index=False,
+        compression=utilmlab.get_df_compression(fn_o_test))    
diff --git a/alg/pategan/tutorial_pategan.ipynb b/alg/pategan/tutorial_pategan.ipynb
new file mode 100644
index 00000000..a4fc5347
--- /dev/null
+++ b/alg/pategan/tutorial_pategan.ipynb
@@ -0,0 +1,153 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Tutorial PATE-GAN\n",
+    "\n",
+    "## Generating Synthetic Data with Differential Privacy Guarantees \n",
+    "\n",
+    "This tutorial shows how to use [PATE-GAN](https://openreview.net/forum?id=S1zk9iRqF7). We are using the UCI spam dataset.\n",
+    "\n",
+    "See [installation instructions](../../doc/install.md) to install the dependencies.\n",
+    "\n",
+    "Load dataset and show the first five samples:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "from collections import Counter\n",
+    "import initpath_alg\n",
+    "initpath_alg.init_sys_path()\n",
+    "import utilmlab\n",
+    "\n",
+    "fn_csv = '{}/spambase.csv.gz'.format(utilmlab.get_data_dir())\n",
+    "df = pd.read_csv(fn_csv)  # get UCI spam dataset\n",
+    "target = 'label'\n",
+    "\n",
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Split the dataset and save the training and test data in separate csv files:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "\n",
+    "train_ratio = 0.8\n",
+    "fn_train = 'train.csv'\n",
+    "fn_test = 'test.csv'\n",
+    "\n",
+    "idx = np.random.permutation(len(df))\n",
+    "\n",
+    "train_idx = idx[:int(train_ratio * len(df))]\n",
+    "test_idx = idx[int(train_ratio * len(df)):]\n",
+    "        \n",
+    "df_train = df.iloc[train_idx]\n",
+    "df_test = df.iloc[test_idx]\n",
+    "\n",
+    "df_train.to_csv(fn_train, index=False)\n",
+    "df_test.to_csv(fn_test, index=False)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Run PATE-GAN:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "python_exe='python3'\n",
+    "niter=10000\n",
+    "fn_o_train = 'otrain.csv'\n",
+    "fn_o_test =  'otest.csv'\n",
+    "teachers = 50  # use a reduced number of teachers to limit the execution time\n",
+    "epsilon = 1\n",
+    "delta = 5\n",
+    "\n",
+    "cmd_arg = '--iter {} --target {} --itrain {} --itest {} --otrain {} --otest {} --teachers {} --epsilon {} --delta {}'.format(niter, target, fn_train, fn_test, fn_o_train, fn_o_test, teachers, epsilon, delta)\n",
+    "!{python_exe} pategan.py {cmd_arg}"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Train a classifier on synthetic data and evaluate on the original test data and compare the AUCROC score with that of the same classifier on the original data."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from sklearn.linear_model import LogisticRegression\n",
+    "from sklearn import metrics\n",
+    "from collections import Counter\n",
+    "\n",
+    "\n",
+    "def train_evaluate(df_trn, df_tst):\n",
+    "    model = LogisticRegression(solver='lbfgs', max_iter=4000)\n",
+    "\n",
+    "    features = list(df_trn.columns)\n",
+    "    features.remove(target)\n",
+    "\n",
+    "    model.fit(df_trn[features], df_trn[target])\n",
+    "    pred_proba = model.predict_proba(df_tst[features])\n",
+    "    return metrics.roc_auc_score(df_tst[target], pred_proba[:,1])\n",
+    "\n",
+    "auc = dict()\n",
+    "auc['org'] = train_evaluate(df_train, df_test)\n",
+    "\n",
+    "df_pategan_train = pd.read_csv(fn_o_train)\n",
+    "\n",
+    "auc['pategan'] = train_evaluate(df_pategan_train, df_test)\n",
+    "    \n",
+    "print('aucroc orignal data {:0.4f} auc synthetic data {:0.4f}'.format(auc['org'], auc['pategan']))"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.2"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/alg/smsdkl/Evaluate.py b/alg/smsdkl/Evaluate.py
new file mode 100644
index 00000000..ff60b0ce
--- /dev/null
+++ b/alg/smsdkl/Evaluate.py
@@ -0,0 +1,168 @@
+import random
+import time
+from copy import deepcopy
+
+from keras import backend as K
+
+K.tensorflow_backend._get_available_gpus()
+import numpy as np
+from keras.layers import Dense
+from keras.regularizers import l2
+import keras
+from keras.models import Model
+from keras.layers import Input, LSTM
+
+
+def error_function(BO_output):
+
+    rmse1 = np.min(np.mean(BO_output, axis=1), axis=0)
+    rmse2 = np.mean(np.min(BO_output, axis=0))
+
+    return rmse1,rmse2
+
+
+
+def get_opt_domain():
+
+    domain = get_hyperparameter_space()
+
+    dim = len(domain)
+
+    bounds = []
+    bounds_type = []
+    for i_domain in domain:
+        bounds.append([i_domain['domain'][0], i_domain['domain'][-1]])
+        bounds_type.append(i_domain['type'])
+
+    bb = [bounds, bounds_type]
+    return domain, dim, bb
+
+
+
+
+def init_random_uniform(domain, n_points=25000,initial=False):
+
+
+    list = []
+
+    for k in range(int(n_points)):
+
+        if initial:
+            random.seed(k)
+        else:
+            random.seed(time.time())
+
+
+        list_i = []
+        for i_domain in domain:
+
+            if i_domain['type'] == 'continuous':
+                kk = float(random.uniform(i_domain['domain'][0], i_domain['domain'][1]))
+                list_i.append(kk)
+            else:
+                list_i.append(int(random.sample(i_domain['domain'], 1)[0]))
+
+        list.append(list_i)
+
+
+    return list
+
+
+def min_list(obs):
+
+    obs = -obs[:,-1]
+    leng = len(obs)
+    list = []
+    a = obs[0]
+    list.append(a)
+    for i in range(1, leng):
+        if obs[i] <= a:
+            list.append(obs[i])
+            a = deepcopy(obs[i])
+        else:
+            list.append(a)
+    return list
+
+
+
+def get_hyperparameter_space():
+    hyp_ = [{'name': 'RNN.hidden_size', 'type': 'discrete', 'domain':list(range(10, 251, 1)), 'dimensionality': 1},
+            {'name': 'RNN.dropout_rate', 'type': 'discrete', 'domain': list(range(10, 91, 1)), 'dimensionality': 1},
+            {'name': 'RNN.l2', 'type': 'continuous', 'domain': [-20, 1], 'dimensionality': 1},
+            {'name': 'RNN.num_epoch', 'type': 'discrete', 'domain': list(range(10, 101, 1)), 'dimensionality': 1},
+            {'name': 'RNN.batch_size', 'type': 'discrete', 'domain': list(range(10, 101, 1)), 'dimensionality': 1},
+            {'name': 'RNN.recurrent_dropout_rate', 'type': 'discrete', 'domain': list(range(10, 91, 5)), 'dimensionality': 1}]
+
+    return hyp_
+
+
+def evaluate(train_X, test_X, train_y, test_y, list_domain):
+
+
+
+        performance_list = []
+        for i in range(np.shape(list_domain)[0]):
+            performance_list.append(evaluate_reg_keras(train_X, test_X, train_y, test_y, list_domain[i]))
+
+        obs = np.array(performance_list)
+
+        return obs
+
+
+
+
+
+
+
+def evaluate_reg_keras(train_X,test_X, train_y, test_y, param):
+
+
+    num_units = int(param[0])
+    dropout_rate = param[1]/100
+    l2_rate = np.exp(param[2])
+    epochs = int(param[3])
+    batch = int(param[4])
+    recurrent_dropout = param[5] / 100
+
+    max_length = np.shape(train_y)[1]
+
+
+    train_y = np.expand_dims(train_y,axis=2)
+
+    test_y = np.expand_dims(test_y, axis=2)
+
+    inputs = Input(shape=(train_X.shape[1], train_X.shape[2]))
+    lstm1 = LSTM(num_units, kernel_regularizer=l2(l2_rate), return_sequences=True,
+                dropout=dropout_rate, recurrent_dropout= recurrent_dropout )(inputs)
+
+    pred = Dense(1)(lstm1)
+
+
+    optimizer = keras.optimizers.Adam(lr=0.001, beta_1=0.9, beta_2=0.999, epsilon=None, decay=0.0, amsgrad=False)
+
+
+    model = Model(inputs=inputs, outputs=pred)
+
+    model.compile(loss='mean_squared_error', optimizer=optimizer)
+
+    model.fit(train_X, train_y, epochs=epochs, batch_size=batch, verbose=0, shuffle=False)
+
+
+    rmse_list = np.zeros((10, max_length))
+
+    for row in range(10):
+
+        model.fit(train_X, train_y, epochs=1, batch_size=batch, verbose=0, shuffle=False)
+
+        for i in range(max_length):
+
+            yhat = model.predict(test_X)
+
+            rmse = np.sqrt(np.mean(np.square(test_y[:, i, 0] - yhat[:, i, 0]),axis=0))
+
+            rmse_list[row, i] = rmse
+
+    return np.mean(rmse_list, axis=0)
+
+
+
diff --git a/alg/smsdkl/README.md b/alg/smsdkl/README.md
new file mode 100644
index 00000000..bca89188
--- /dev/null
+++ b/alg/smsdkl/README.md
@@ -0,0 +1,13 @@
+# Stepwise Model Selection for Sequence Prediction via Deep Kernel Learning
+
+This is a python implementation of the algorithm in the paper "Stepwise Model Selection for Sequence Prediction via Deep Kernel Learning".
+
+# Dependencies
+Python 3.6 or later, Tensorflow 1.14, keras 2.2.4
+
+# First steps
+To get started, test_smsdkl.py will walk you through the key components in SMS-DKL
+
+# Reference 
+The household dataset from UCI repository
+https://archive.ics.uci.edu/ml/datasets/individual+household+electric+power+consumption
diff --git a/alg/smsdkl/data/household_power.pickle b/alg/smsdkl/data/household_power.pickle
new file mode 100644
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diff --git a/alg/smsdkl/data_load.py b/alg/smsdkl/data_load.py
new file mode 100644
index 00000000..1ef79ab9
--- /dev/null
+++ b/alg/smsdkl/data_load.py
@@ -0,0 +1,41 @@
+import pickle
+
+import numpy as np
+from sklearn.model_selection import KFold
+
+
+def load_():
+
+    Dataset = pickle.load(open('data/household_power.pickle', 'rb'))
+    Dataset = (Dataset - np.mean(Dataset, axis=0)) / (np.std(Dataset, axis=0))
+    Dataset = Dataset[:7200, :]
+    Dataset = np.reshape(Dataset, [-1, 24, 8])
+
+    Dataset = Dataset[:100,:,:]
+
+    skf = KFold(n_splits=2, random_state=1234)
+
+    train_index, test_index = [[train_index, test_index] for train_index, test_index in skf.split(Dataset)][0]
+
+    train = Dataset[train_index, :]
+    test = Dataset[test_index, :]
+
+    trainX, train_y = train[:, :, :-1], train[:, :, -1]
+    valid_X, valid_y = test[:, :, :-1], test[:, :, -1]
+
+
+
+
+
+    return trainX, valid_X, train_y, valid_y
+
+
+def load_house():
+
+    trainX, testX, label_train, label_test = load_()
+
+    dataX = np.concatenate([trainX, testX], axis=0)
+    data_label = np.concatenate([label_train, label_test], axis=0)
+    Dataset = np.concatenate([dataX, np.expand_dims(data_label, axis=2)], axis=2)
+
+    return Dataset, dataX, data_label, trainX, testX, label_train, label_test
\ No newline at end of file
diff --git a/alg/smsdkl/model.py b/alg/smsdkl/model.py
new file mode 100644
index 00000000..1f8bda55
--- /dev/null
+++ b/alg/smsdkl/model.py
@@ -0,0 +1,374 @@
+import tensorflow as tf
+from pylab import *
+from scipy.special import erfc
+from tensorflow.python.ops import rnn
+
+from Evaluate import init_random_uniform
+
+
+def get_quantiles(acquisition_par, fmin, m, s):
+
+    if isinstance(s, np.ndarray):
+        s[s<1e-10] = 1e-10
+    elif s< 1e-10:
+        s = 1e-10
+    u = (fmin - m - acquisition_par)/s
+    phi = np.exp(-0.5 * u**2) / np.sqrt(2*np.pi)
+    Phi = 0.5 * erfc(-u / np.sqrt(2))
+    return (phi, Phi, u)
+
+
+def _compute_acq(m, s, fmin, jitter):
+
+    phi, Phi, u = get_quantiles(jitter, fmin, m, s)
+    f_acqu = s * (u * Phi + phi)
+    return f_acqu
+
+
+def L_cholesky(x, DD):
+
+    jitter = 1e-15
+
+    L_matrix = tf.cholesky(x + jitter*tf.eye(DD, dtype=tf.float32))
+    return L_matrix
+
+
+
+
+
+class SMSDKL(object):
+    def __init__(self, data_X, BO_data, bounds,lim_domain, rnn_hidden_size=64,h_size=32, num_h = 32, rho_size=2,lr=0.01):
+
+        self.trainX, self.trainY = BO_data
+        self.dims = [np.shape(self.trainX)[1], num_h, num_h, num_h, num_h]
+        self.bounds, self.bound_type = bounds[0], bounds[1]
+        self.rnn_hidden_size = rnn_hidden_size
+        self.num_example = np.shape(data_X)[0]
+        self.max_length = np.shape(data_X)[1]
+        self.lim_domain = lim_domain
+        self.rho_size = rho_size
+        self.data_X =  data_X
+        self.params = dict()
+        self.n_layers = len(self.dims) - 1
+        self.lr = lr
+        self.feature_vector = {}
+        self.ml_primal = {}
+        self.ker_inv = {}
+        self.mean = {}
+        self.weight_deepset = {}
+        self.bias_deepset = {}
+        self.weight_bo = {}
+        self.bias_bo = {}
+        self.embed = {}
+        self.beta = {}
+        self.lam = {}
+        self.r = {}
+        self.Y = {}
+        self.X = {}
+
+
+        hidden_size = [[self.rnn_hidden_size, h_size], [h_size, h_size], [h_size, h_size], [h_size, h_size], [h_size, rho_size]]
+
+
+        # create variables
+        for i in range(len(hidden_size)):
+            self.create_variable('deepset/layer%d' % (i), 'weight', hidden_size[i])
+
+            self.create_variable('deepset/layer%d' % (i), 'biases', hidden_size[i][-1])
+
+            self.weight_deepset[str(i)] = self.get_variable('deepset/layer%d' % (i), 'weight', True)
+            self.bias_deepset[str(i)] = self.get_variable('deepset/layer%d' % (i), 'biases', True)
+
+
+
+        for i in range(self.n_layers):
+            self.create_variable('bo_net/layer%d' % (i), 'weight', [self.dims[i], self.dims[i + 1]])
+
+            self.create_variable('bo_net/layer%d' % (i), 'biases', [self.dims[i + 1]])
+
+            self.weight_bo[str(i)] = self.get_variable('bo_net/layer%d' % (i), 'weight', True)
+
+            self.bias_bo[str(i)] = self.get_variable('bo_net/layer%d' % (i), 'biases', True)
+
+
+
+
+        for i in range(self.max_length):
+
+            self.create_variable('bo_net/task%d' % (i), 'lam', [1, 1])
+
+            self.create_variable('bo_net/task%d' % (i), 'beta', [1, 1])
+
+            lam = self.get_variable('bo_net/task%d' % (i), 'lam', True)
+            self.lam[str(i)] = tf.math.softplus(lam)
+
+            beta = self.get_variable('bo_net/task%d' % (i), 'beta', True)
+            self.beta[str(i)] = tf.math.softplus(beta)
+
+            self.r[str(i)] = self.beta[str(i)] / self.lam[str(i)]
+
+
+
+
+        self.build_model()
+
+
+        self.sess = tf.Session()
+        self.sess.run(tf.global_variables_initializer())
+
+
+        for i in range(self.max_length):
+
+            with tf.variable_scope('bo_net/task%d' % (i), reuse=True):
+                var6 = tf.get_variable("lam")
+                var7 = tf.get_variable("beta")
+
+
+            var6 = tf.assign(var6, 100 * tf.ones(tf.shape(var6)))
+            var7 = tf.assign(var7, 100 * tf.ones(tf.shape(var7)))
+
+            self.sess.run(var6)
+            self.sess.run(var7)
+
+
+
+
+    def build_model(self):
+
+        self.X = tf.placeholder(tf.float32, [None, self.dims[0]])
+
+        self.Y = tf.placeholder(tf.float32, [None, self.max_length])
+
+        self.N_sample = tf.placeholder(dtype=tf.float32, shape=[1])
+
+
+        lstm_cell = tf.contrib.rnn.BasicLSTMCell(num_units=self.rnn_hidden_size)
+
+        self.segment_ids = tf.placeholder(tf.float32, [self.max_length])
+
+        self.rnn_dim_feature = np.shape(self.data_X)[-1]
+
+        self.rnn_input = tf.constant(value=self.data_X, dtype=tf.float32, shape=[self.num_example,self.max_length, self.rnn_dim_feature]) #
+
+        state = lstm_cell.zero_state(self.num_example, dtype=tf.float32)
+
+        xx = tf.unstack(self.rnn_input, self.max_length, 1)
+
+        rnn_output, state = rnn.static_rnn(lstm_cell, xx, initial_state=state)
+
+        self.train_loss = 0
+        self.YY = {}
+
+        for step in range(self.max_length):
+
+
+            self.YY[str(step)] = tf.slice(self.Y, [0, step], [-1, 1])
+
+            ss = tf.slice(rnn_output, [step, 0, 0], [1, -1, -1])
+
+            self.embed[str(step)] = self.deepset(tf.squeeze(ss))
+
+
+            state_embedding = tf.tile(self.embed[str(step)], [tf.cast(self.N_sample[0], tf.int32), 1])
+
+
+
+            self.bo_net(self.X,state_embedding, step)
+
+
+            self.train_loss += self.ml_primal[str(step)]
+
+
+
+
+        self.opt = tf.train.AdamOptimizer(learning_rate=self.lr).minimize(self.train_loss)
+
+
+
+    def batch_optimization(self, max_iter=500):
+
+        num_step = min(10, int(self.max_length))
+        for i in range(max_iter):
+            rr = np.random.randint(0, self.max_length, num_step)
+            ss = np.zeros((self.max_length))
+            ss[rr] = 1
+
+            feed_input = {self.Y: self.trainY, self.X: self.trainX, self.N_sample: [self.trainX.shape[0]], self.segment_ids:ss}
+
+
+            self.sess.run(self.opt, feed_dict = feed_input)
+
+
+    def update_data(self, query, obs):
+
+        query = np.expand_dims(query,axis=1)
+        query = np.swapaxes(query, 0, 1)
+        self.trainX = np.concatenate([self.trainX, query], axis=0)
+
+        self.trainY = np.concatenate([self.trainY, obs], axis=0)
+
+        return self.trainX, self.trainY
+
+
+
+
+    def destroy_graph(self):
+        tf.reset_default_graph()
+
+
+    def get_params(self):
+        mdict = dict()
+        for scope_name, param in self.params.items():
+            w = self.sess.run(param)
+            mdict[scope_name] = w
+        return mdict
+
+
+    def create_variable(self, scope, name, shape, trainable=True):
+
+        with tf.variable_scope(scope):
+            w = tf.get_variable(name, shape, trainable=trainable)
+        self.params[w.name] = w
+
+    def get_variable(self, scope, name, trainable=True):
+        with tf.variable_scope(scope, reuse=True):
+            w = tf.get_variable(name, trainable=trainable)
+        return w
+
+
+
+    def deepset(self, hidden_vec):
+
+
+
+
+
+        Z0 = tf.add(tf.matmul(hidden_vec, self.weight_deepset['0']), self.bias_deepset['0'])
+        A0 = tf.nn.relu(Z0)
+
+        Z1 = tf.add(tf.matmul(A0, self.weight_deepset['1']), self.bias_deepset['1'])
+        A1 = Z1
+
+        mean_emb = tf.reduce_mean(A1, axis=0)
+        mean_emb = tf.expand_dims(mean_emb,axis=0)
+
+        Z2 = tf.add(tf.matmul(mean_emb, self.weight_deepset['2']), self.bias_deepset['2'])
+        A2 = tf.nn.relu(Z2)
+
+        Z3 = tf.add(tf.matmul(A2, self.weight_deepset['3']), self.bias_deepset['3'])
+        A3 = tf.nn.relu(Z3)
+
+        Z4 = tf.add(tf.matmul(A3, self.weight_deepset['4']), self.bias_deepset['4'])
+
+
+        return Z4
+
+
+
+
+
+    def bo_net(self, feature_vector, state_embedding, step):
+
+
+        for i in range(self.n_layers):
+
+            feature_vector = tf.nn.tanh(tf.matmul(feature_vector, self.weight_bo[str(i)]) + self.bias_bo[str(i)])
+
+
+
+        self.feature_vector[str(step)] = tf.concat([state_embedding,feature_vector],axis=1)
+
+        self.DD = tf.shape(self.feature_vector[str(step)])[1]
+
+        phi_phi = self.r[str(step)] * tf.matmul(tf.transpose(self.feature_vector[str(step)]), self.feature_vector[str(step)])
+
+        Ker = phi_phi + tf.eye(self.DD, dtype=tf.float32)
+
+        L_matrix = L_cholesky(Ker, self.DD)
+
+        L_inv_reduce = tf.linalg.triangular_solve(L_matrix, rhs=tf.eye(self.DD, dtype=tf.float32))
+
+        L_y = tf.matmul(L_inv_reduce, tf.matmul(tf.transpose(self.feature_vector[str(step)]), self.YY[str(step)] ))
+
+        term1 = 0.5 * self.beta[str(step)] * (tf.reduce_sum(tf.square(self.YY[str(step)])) - self.r[str(step)] * tf.reduce_sum(tf.square(L_y)))
+
+        term2 = tf.reduce_sum(tf.log(tf.linalg.diag_part(L_matrix)))
+
+        term3 = -0.5 * self.N_sample[0] * tf.log(self.beta[str(step)])
+
+        self.ml_primal[str(step)] = term1 + term2 + term3
+
+        self.ker_inv[str(step)] = tf.matmul(tf.transpose(L_inv_reduce), L_inv_reduce)
+
+        self.mean[str(step)] = self.r[str(step)] * tf.matmul(tf.transpose(L_inv_reduce), L_y)
+
+
+
+    def acquisition(self):
+
+
+        domain_l = init_random_uniform(self.lim_domain)
+
+
+        mean_list, XX_inv_list, featureX_list = self.sess.run([self.mean, self.ker_inv, self.feature_vector],
+                                              feed_dict={ self.X: self.trainX, self.Y: self.trainY, self.N_sample: [self.trainX.shape[0]],
+                                                         self.segment_ids:np.ones((self.max_length))})
+
+        test_X_list = self.sess.run(self.feature_vector, feed_dict={self.X: domain_l, self.N_sample: [np.shape(domain_l)[0]],
+                                               self.segment_ids:np.ones((self.max_length))})
+
+
+
+        max_ei = np.zeros((self.max_length))
+        index_list = []
+        ei_total = []
+
+        for i in range(self.max_length):
+
+            lam = self.sess.run(self.lam[str(i)])
+
+            mean, XX_inv, featureX, test_X = mean_list[str(i)], XX_inv_list[str(i)], featureX_list[str(i)], test_X_list[str(i)]
+
+
+
+            s = []
+            for row in range(test_X.shape[0]):
+
+                x = test_X[[row], :]
+                s_save = (1/lam * np.dot(np.dot(x, XX_inv), x.T)) ** 0.5
+                s.append(s_save)
+
+            prediction = np.dot(test_X, mean)
+
+            sig = np.reshape(np.asarray(s), (test_X.shape[0], 1))
+
+
+            ei = _compute_acq(prediction,  sig, np.min(self.trainY[:, i]), 0.01)
+
+            ei = np.squeeze(ei)
+
+            ei_total.append(ei)
+
+            anchor_index = ei.argsort()[-1]
+
+
+            max_ei[i] = np.max(ei)
+
+
+            index_list.append(anchor_index)
+
+
+
+        prob = np.log(max_ei + 1e-15) - np.log(np.sum(max_ei+ 1e-15))
+
+        prob = np.exp(prob)
+
+        prob = np.ones_like(prob) / (self.max_length)
+
+
+        final_point = domain_l[index_list[np.where(np.random.multinomial(1, prob) > 0.1)[0][0]]]
+
+
+        return final_point
+
+
diff --git a/alg/smsdkl/test_smsdkl.py b/alg/smsdkl/test_smsdkl.py
new file mode 100644
index 00000000..38bf97e3
--- /dev/null
+++ b/alg/smsdkl/test_smsdkl.py
@@ -0,0 +1,93 @@
+from keras import backend as K
+
+from model import SMSDKL
+
+K.tensorflow_backend._get_available_gpus()
+import numpy as np
+from data_load import load_house
+from Evaluate import get_opt_domain, init_random_uniform, evaluate,error_function
+import matplotlib.pyplot as plt
+import matplotlib.patches as mpatches
+
+
+#Set the maximum number of BO iterations
+additional_query_size = 51
+
+#Set the hyperparameter space
+lim_domain, dim, bounds = get_opt_domain()
+
+#loading the housing dataset
+Dataset, dataX, data_label, trainX, testX, label_train, label_test = load_house()
+
+
+#Uniformly sample one point to start optimization
+list_domain = init_random_uniform(lim_domain, n_points=1,initial=True)
+obs = evaluate(trainX, testX, label_train, label_test, list_domain)
+BO_data = np.array(list_domain), obs
+
+
+
+#Set up the BO model
+BO_model = SMSDKL(data_X=Dataset, bounds=bounds, BO_data=BO_data,lim_domain=lim_domain)
+
+
+rmse_global = []
+rmse_wise = []
+
+rmse, _ = error_function(obs)
+rmse_global.append(rmse)
+rmse_wise.append(rmse)
+
+
+for i in range(additional_query_size):
+
+
+    #Optimize the BO network
+    if i %5==0:
+        try:
+
+            BO_model.batch_optimization()
+
+        except Exception:
+
+            print("Covariance matrix not invertible.")
+
+    #Make a acquistion
+    query = BO_model.acquisition()
+
+    #Evaluate the acquistion
+    obs = evaluate(trainX, testX, label_train, label_test, [query])
+
+
+    #Updat the acquisition set
+    BO_input, BO_output = BO_model.update_data(query, obs)
+
+
+    print('Number of Function Evaluations:', i)
+
+    print('query point:', query)
+
+
+    #Compute the minimum rmse obtained by global and step-wise model selection
+    rmse1,rmse2 = error_function(BO_output)
+
+
+
+    #Compare the convergence plot of global and step-wise model selection
+    print('minimum rmse of global model selection:', rmse1)
+    print('minimum rmse of step-wise model selection:', rmse2)
+
+    rmse_global.append(rmse1)
+    rmse_wise.append(rmse2)
+
+    fig = plt.figure()
+    plt.plot(rmse_global, 'darkgreen')
+    plt.plot(rmse_wise, 'crimson')
+    red_patch = mpatches.Patch(color='crimson', label='Step-wise')
+    green_patch = mpatches.Patch(color='darkgreen', label='Global')
+    plt.legend(handles=[green_patch,red_patch])
+    plt.title('Dataset: Housing')
+    plt.xlabel('BO Iterations')
+    plt.ylabel('rmse')
+    fig.savefig('plot.png', dpi=300)
+    plt.close()
diff --git a/alg/symbolic_metamodeling/1-_Introduction_to_Meijer_G-functions.ipynb b/alg/symbolic_metamodeling/1-_Introduction_to_Meijer_G-functions.ipynb
new file mode 100644
index 00000000..374e3d63
--- /dev/null
+++ b/alg/symbolic_metamodeling/1-_Introduction_to_Meijer_G-functions.ipynb
@@ -0,0 +1,296 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Introduction to Meijer $G$-functions\n",
+    "\n",
+    "This notebook provides introductory material on the Meijer-$G$ functions based on our paper *\"Demystifying Black-box Models with Symbolic Metamodels\"* submitted to **NeurIPS 2019** by *Ahmed M. Alaa and Mihaela van der Schaar*. The notebook provides the formal definition of Meijer-$G$ functions, along with examples for how to use our Python implementation of the $G$-function in the context of symbolic computation."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## What are Meijer $G$-functions?"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The **Meijer G-functions** are a family of univariate functions, each of them determined by finitely many indexes. The $G$-function is a linear combination of certain special functions of standard type, and hence it is often use to solve indefinite integrals [1]. Despite their useful properties, $G$-functions are not very well known in the mathematical community. In this notebook, we provide a brief background on Meijer $G$-functions, presenting its formal definition along with its basic properties. In addition, we show how to use our python implementation of $G$-functions in symbolic computations. \n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Formally, the Meijer $G$-function is a univariate function given by a line integral in the complex plane [2, 3]:"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "$G^{m,n}_{p, q}\\left(^{a_1,\\ldots,a_p}_{b_1,\\ldots,b_q}\\,\\Big|\\, x\\right) = \\frac{1}{2\\pi i} \\int_{\\mathcal{L}} \\frac{\\prod^m_{j=1} \\Gamma(b_j - s)\\prod^n_{j=1} \\Gamma(1 - a_j + s)}{\\prod^q_{j=m+1} \\Gamma(1 - b_j + s)\\prod^p_{j=n+1} \\Gamma(a_j + s)}\\, x^s\\, ds$"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "where $\\Gamma(.)$ is the Gamma function, $0 \\leq m \\leq q$, $0 \\leq n \\leq p$, where $m$, $n$, $p$ and $q$ are integer numbers, $a_k - b_j \\neq 1, 2, 3,.\\,.\\,.$ for $k = 1, 2,\\,.\\,.\\,., n$, $j = 1, 2\\,.\\,.\\,., m$ and $x \\neq 0$. This means that no pole of any $\\Gamma(b_j - s)$ coincides with any pole of any $\\Gamma(1 - a_k + s)$. The integration path $\\mathcal{L}$ separates the poles of the factors $\\Gamma(b_j - s)$ from those of the factors $\\Gamma(1 - a_k + s)$."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<img src=\"images/FigA1.png\", width=640>"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "As shown in the Figure above, there are three cases in which integration path $\\mathcal{L}$ can be chosen to separate the poles and the zeros as follows [4]:"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "- $L$ goes from $-i\\infty$ to $i\\infty$.\n",
+    "- $L$ is a loop that starts at $i\\infty$ on a line parallel to the $+$ve real axis, encircles the poles of the factors $\\Gamma(b_j - s)$ and returns to $i\\infty$ on another line parallel to the $+$ve real axis.\n",
+    "- $L$ is a loop that starts at $i\\infty$ on a line parallel to the $-$ve real axis, encircles the poles of the factors $\\Gamma(1 - a_k + s)$ and returns to $\\infty$ on another line parallel to the $-$ve real axis.\n",
+    "\n",
+    "When more than one of Cases 1, 2, and 3 is applicable the same value is obtained for the $G$-function. The conditions for convergence of the line integral can be established by applying Stirling's asymptotic approximation to the gamma functions $\\Gamma(b_j - s)$ and $\\Gamma(1 - a_k + s)$  in the integrand. As a consequence of the definition above, the Meijer $G$-function is an analytic function of $x$ (with possible exception of the origin $x$ = 0 and the unit circle $|x| = 1$)."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## How to use Meijer $G$-functions in PySymbolic?"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**PySymbolic** is a symbolic computation library that we developed in order to implement symbolic metamodeling. This is basically a wrapper over **SymPy** that provides all the relevant functionalities needed for metamodeling, in addition to a high-level API that makes symbolic comptations easier. \n",
+    "\n",
+    "To see how can we evaluate Meijer $G$-functions in PySymbolic, we first import the **MeijerG** class from the **models.special_functions** module as follows:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from pysymbolic.models.special_functions import MeijerG"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "In order to create an instance of a Meijer $G$-function, we only need to provide it with the poles and the zeros through two input arguments as follows:\n",
+    "    \n",
+    "**MeijerG(theta=[a_1,..., a_n,..., a_p, b_1,...,b_m,...,b_q, scale], order=[m, n, p, q])**\n",
+    "\n",
+    "Here the arguments **theta** and **order** correspond to the actual values of the poles and zeros, and the indexes $m$, $n$, $p$ and $q$, respectively. The **scale** variable corresponds to a real number by which the input $x$ is scaled. To demonstrate the above, let us create an object holding the following Meijer $G$-function: \n",
+    "\n",
+    "$G^{0,1}_{3, 1}\\left(^{2, 2, 2}_{1}\\,\\Big|\\, 5x\\right)$"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "To create the corresponding MeijerG object, we define the inputs as theta = [2,2,2,1,5] since $a_1=a_2=a_3 = 2$, and $b_1=1$, whereas the scaling factor is 5. Thus, we have the following:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "MeijerG(theta=[2, 2, 2, 1, 5], order=[0, 1, 3, 1])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Now to recover the expression above in a symbolic format, we use the \"expression\" method:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "My_meijerg_object = MeijerG(theta=[2, 2, 2, 1, 5], order=[0, 1, 3, 1])\n",
+    "\n",
+    "My_meijerg_object.expression()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "As we can see above, it turns out that this particular selection of poles and zeros reduces the Meijer $G$-function to an identity function! This is the power of Meijer $G$-functions: for different selections of poles and zeros, they reduce to familiar functional forms."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "In addition to the **theta** and **order** inputs, the **MeijerG** object takes two other optional arguments:\n",
+    "\n",
+    "- **evaluation_mode**: When evaluating the value numerical value of a Meijer $G$-function at a specific value of $x$, this argument determines the way numerical evaluation is carried out. The options include ['eval','numpy', 'theano', 'cython']. The 'eval' option applies direct symbolic computation, which is the slowest approach. 'numpy' and 'theano' apply numeric evaluation using numpy arrays or theano graphs, whereas 'cython' creates an intermediate C code to enable fast computation of the Meijer $G$-function. The default setting is 'numpy'.  \n",
+    "- **approximation_order**: When approximating the Meijer $G$-function for intermediate computation, we use a Taylor series approximation. This argument determines the number of terms in a Taylor expansion to include in the approximation, and is set to a default value of 15.\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "As mentioned earlier, the main strength of the Meijer $G$-function is that they reduce to familiar functional forms for different selections of poles and zeros. Notable examples include the following:\n",
+    "\n",
+    "- $G^{0,1}_{3, 1}\\left(^{2, 2, 2}_{1}\\,\\Big|\\, x\\right) = x$ (which we have demonstrated above).\n",
+    "\n",
+    "\n",
+    "- $G^{1,0}_{0, 1}\\left(^{-}_{0}\\,\\Big|\\, x\\right) = e^{-x}$.\n",
+    "\n",
+    "\n",
+    "- $G^{1,2}_{2, 2}\\left(^{1,1}_{1,0}\\,\\Big|\\, x\\right) = \\log(x+1)$.\n",
+    "\n",
+    "\n",
+    "- $G^{1,2}_{2, 2}\\left(^{1,1}_{1,1}\\,\\Big|\\, x\\right) = \\frac{x}{(x+1)}$.\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "In what follows, we show how can we recover all the identities above using the MeijerG object. To enable printing in LaTex format inside the notebook, we use the \"init_print\" command in sympy."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from sympy import *\n",
+    "init_printing()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "identity_function    = MeijerG(theta=[2, 2, 2, 1, 1], order=[0, 1, 3, 1])\n",
+    "exponential_function = MeijerG(theta=[0, 1], order=[1, 0, 0, 1])\n",
+    "logarithmic_function = MeijerG(theta=[1,1,1,0,1], order=[1, 2, 2, 2])\n",
+    "rational_function    = MeijerG(theta=[1,1,1,1,1], order=[1, 2, 2, 2])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Now let us check if the magic works!"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "identity_function.expression()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "exponential_function.expression()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "logarithmic_function.expression()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "rational_function.expression()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### References\n",
+    "\n",
+    "[1] Richard Beals and Jacek Szmigielski. Meijer g-functions: a gentle introduction. *Notices of the AMS*, 60(7):866–872, 2013.\n",
+    "\n",
+    "[2] CS Meijer. On the G-function. *North-Holland*, 1946.\n",
+    "\n",
+    "[3] CS Meijer. Uber whittakersche bezw. besselsche funktionen und deren produkte (english translation: About whittaker and bessel functions and their products). *Nieuw Archief voor Wiskunde*, 18(2):10–29, 1936.\n",
+    "\n",
+    "[4] I. Gradshteyn and I. Ryzhik. Table of integrals, series, and products. *Academic press*, 2014."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.8"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/alg/symbolic_metamodeling/2-_Metamodeling_of_univariate_black-box_functions_using_Meijer_G-functions.ipynb b/alg/symbolic_metamodeling/2-_Metamodeling_of_univariate_black-box_functions_using_Meijer_G-functions.ipynb
new file mode 100644
index 00000000..94cd9fc5
--- /dev/null
+++ b/alg/symbolic_metamodeling/2-_Metamodeling_of_univariate_black-box_functions_using_Meijer_G-functions.ipynb
@@ -0,0 +1,523 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Symbolic Metamodeling of Univariate Functions using Meijer $G$-functions\n",
+    "\n",
+    "In this notebook, we carry out the first experiment (Section 5.1) in our paper *\"Demystifying Black-box Models with Symbolic Metamodels\"* submitted to **NeurIPS 2019** by *Ahmed M. Alaa and Mihaela van der Schaar*. In this experiment, we demonstrate the first use case of symbolic metamodeling using synthetic data, where we show how can we learn symbolic expressions for unobserved black-box functions for which we have only query access."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Can we learn complex symbolic expressions?"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We start off with four synthetic experiments with the aim of evaluating the richness of symbolic expressions discovered by our metamodeling algorithm. In each experiment, we apply our Meijer $G$-function-based symbolic metamodeling on a ground-truth univariate function $f(x)$ to fit a metamodel $g(x) \\approx f(x)$, and compare the resulting mathematical expression for $g(x)$ with that obtained by Symbolic regression [1-3], which we implement using the [**gplearn library** ](https://gplearn.readthedocs.io/en/stable/)."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We use the following four expressions for the underlying univariate functions:"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "| **Function** | **Notation** | **Expression**   |\n",
+    "|------|------|------|\n",
+    "|   Exponential function  | $f_1(x)$ | $e^{-3x}$ |\n",
+    "|   Rational function  | $f_2(x)$| $\\frac{x}{(x+1)^2}$ |\n",
+    "|   Sinusoid function  | $f_3(x)$| $\\sin(x)$ |\n",
+    "|   Bessel function  | $f_4(x)$| $J_0\\left(10\\sqrt{x}\\right)$ |"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "As we can see, the functions $f_1(x)$, $f_2(x)$, $f_3(x)$ and $f_4(x)$ have very different functional forms and are of varying levels of complexity. To run the experiments, we first import the univariate functions above from the **benchmarks.univariate_functions** module in **pysymbolic** as follows:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from pysymbolic.benchmarks.univariate_functions import *"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Then, we create a list of the univariate functions $f_1(x)$, $f_2(x)$, $f_3(x)$ and $f_4(x)$ as follows:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "True_functions  = [('Exponential function exp(-3x)', exponential_function), ('Rational function x/(x+1)^2', rational_function), \n",
+    "                   ('Sinusoid function sin(x)', sinusoidal_function), ('Bessel function J_0(10*sqrt(x))', bessel_function)]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Before running the experimens, let us visualize the four functions in the range $x \\in [0,1]$ to see how different they are, and the extent to which their complexity vary from one function to another."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "\n",
+    "from matplotlib import pyplot as plt\n",
+    "get_ipython().magic('matplotlib inline')\n",
+    "\n",
+    "x_points = np.linspace(0,1,100)\n",
+    "\n",
+    "fig, axs = plt.subplots(1, 4, figsize=(20,2.5))\n",
+    "\n",
+    "axs[0].plot(x_points, True_functions[0][1](x_points), linewidth=4)\n",
+    "axs[0].set_title('$f_1(x)$')\n",
+    "axs[1].plot(x_points, True_functions[1][1](x_points), linewidth=4)\n",
+    "axs[1].set_title('$f_2(x)$')\n",
+    "axs[2].plot(x_points, True_functions[2][1](x_points), linewidth=4)\n",
+    "axs[2].set_title('$f_3(x)$')\n",
+    "axs[3].plot(x_points, True_functions[3][1](x_points), linewidth=4)\n",
+    "axs[3].set_title('$f_4(x)$')\n",
+    "\n",
+    "for ax in axs.flat:\n",
+    "    ax.set(xlabel='$x$', ylabel='$f(x)$')\n",
+    "\n",
+    "for ax in axs.flat:\n",
+    "    ax.label_outer()\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "As we can see, the Bessel function is the most complex. So will our symbolic metamodeling algorithm be able top recover the underlying mathematical expression describing these function and recognizing their varying levels of complexity?"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Running the experiments"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Now we set up the experiment by first setting the number of evaluation points (npoints=100) that we will input to both the symbolic metamodeling and the symbolic regression models, and creating an empty list of learned symbolic expressions and $R^2$ scores."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "npoints             = 100\n",
+    "xrange              = [0.01, 1]\n",
+    "\n",
+    "symbolic_metamodels = []\n",
+    "symbolic_regssion   = []\n",
+    "\n",
+    "sym_metamodel_R2    = []\n",
+    "sym_regression_R2   = []"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Before running the experiments, we first import the **algorithms.symbolic_expressions** from **pysymbolic**. This module contains two functions **get_symbolic_model** and **symbolic_regressor**, which recovers univariate metamodels and symbolic regression models respectively. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from mpmath import *\n",
+    "from sympy import *\n",
+    "\n",
+    "from pysymbolic.algorithms.symbolic_expressions import *"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Now we run the experiments by feeding in each function in **true_function** to both the functions **get_symbolic_model** and **symbolic_regressor**:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "for true_function in True_functions:\n",
+    "    \n",
+    "    print('Now working on the ' + true_function[0])\n",
+    "    print('--------------------------------------------------------')\n",
+    "    print('--------------------------------------------------------')\n",
+    "    \n",
+    "    symbolic_model, _mod_R2 = get_symbolic_model(true_function[1], npoints, xrange)\n",
+    "    \n",
+    "    symbolic_metamodels.append(symbolic_model)\n",
+    "    sym_metamodel_R2.append(_mod_R2)\n",
+    "    \n",
+    "    symbolic_reg, _reg_R2   = symbolic_regressor(true_function[1], npoints, xrange)\n",
+    "    \n",
+    "    symbolic_regssion.append(symbolic_reg)\n",
+    "    sym_regression_R2.append(_reg_R2) \n",
+    "    \n",
+    "    print('--------------------------------------------------------')\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Results and discussion"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Now let us check the symbolic expressions retrieved by both symbolic metamodeling and symbolic regression. In order to enable printing in LaTex format, we first invoke the \"init_print\" command of sympy as follows:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "init_printing()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Now let us start with the first function $f_1(x) = e^{-3x}$, and see what the corresponding symbolic metamodel stroed in **symbolic_metamodels[0]**..."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "symbolic_metamodels[0].expression()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "As we can see, this is almost exactly equal to $e^{-3x}$! This means that the metamodeling algorithm was able to recover the true expression for $f_1(x)$ based on 100 evaluation samples only. To check the corresponding values of the poles and zeros recovered by the gradient descent algorithm used to optimize the metamodel, we can inspect the attributes of the **MeijerG** object **symbolic_metamodels[0]** as follows:  "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "symbolic_metamodels[0].a_p, symbolic_metamodels[0].b_q, symbolic_metamodels[0]._const"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Now let us check the expression learned by symbolic regression (whcih is stored in **symbolic_regssion[0]**)... "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "symbolic_regssion[0]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Here, the symbolic regression algorithm retreived an approximation of $f_1(x) = e^{-3x}$, but failed to capture the exponential functional form of $f_1(x)$. This is because the symbolic regression search algorithm starts with predefined forms (mostly polynomials), and hence is less flexible than our Meijer $G$-function parameterization."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**What if we want to restrict our metamodels to polynomials only?** In this case, we can use the *approximate_expression* method to recover a Taylor approximation of the learned symbolic expression as follows."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from copy import deepcopy\n",
+    "\n",
+    "polynomial_metamodel_of_f1 = deepcopy(symbolic_metamodels[0])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "polynomial_metamodel_of_f1.approximation_order = 2\n",
+    "\n",
+    "polynomial_metamodel_of_f1.approx_expression()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "As we can see, the second order Taylor approximation of our metamodel appears to be very closed to the symbolic regression model!"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "But what about the other functions? Let us check $f_2(x) = \\frac{x}{(x+1)^2}$ and see what the metamodel was for that."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "symbolic_metamodels[1].expression()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "For $f_2(x)$, the metamodeling algorithm nailed it! It exactly recovered the true symbolic expression. For the symbolic regression model for $f_2(x)$, we have the following expression:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "symbolic_regssion[1]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "So the symbolic regression algorithm also did a good job in finding the true mathematical expression for $f_2(x)$, though it recovered a less accurate expression than that of the metamodel. Now let us examine the results third function $f_3(x) = \\sin(x)$..."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "symbolic_metamodels[2].expression()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "symbolic_regssion[2]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Here, both algorithms came up with approximations of the sinusoid function in the range $[0,1]$. This is because in the range $[0,1]$ we see no full cycles of sinusoid, and hence it is indistiguishable from, say, a linear approximation. The confluent hypergeometric function $_2 F_1$ in the metamodel is very close to 0, and hence the metamodel can be though of as a linear approximation for the sinusoidal function. "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Now we look at the most tricky of the four functions: $f_4(x) = J_0\\left(10\\sqrt{x}\\right)$. This one is diffcult because it already displays a lot of fluctuations in the range $[0,1]$, and has an unusual functional form. So what symbolic expressions did the two algorithms learn for $f_4(x)$?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "symbolic_metamodels[3].expression()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "symbolic_regssion[3]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "This is an exciting result! The symbolic metamodel is very close to the ground truth: it corresponded to a Bessel function of the second kind $I_0(x)$ instead of a Bessel function of the first kind $J_0(x)$! Using the identity $J_0(ix) = I_0(x)$, we can see that our metamodel is in fact identical to the ground truth! "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The above \"qualitative\" comparisons show that symbolic metamodeling can recover richer and more complex expressions compared to symbolic regression. The quantitative comparison can be done by simply comparing the $R^2$ scores for the two algorithms on the four functions:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "sym_metamodel_R2 "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "sym_regression_R2"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Finally, to evaluate the numeric value of any metamodel for a given $x$, we can use the **evaluate** method of the **MeijerG** object. In the cell below, we evaluate all metamodels in the range $[0,1]$ and plot them along the true functions to see how accurate they are."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "\n",
+    "from matplotlib import pyplot as plt\n",
+    "get_ipython().magic('matplotlib inline')\n",
+    "\n",
+    "x_points = np.linspace(0,1,100)\n",
+    "\n",
+    "fig, axs = plt.subplots(1, 4, figsize=(20,2.5))\n",
+    "\n",
+    "axs[0].plot(x_points, True_functions[0][1](x_points), linewidth=4, label='True function')\n",
+    "axs[0].plot(x_points, symbolic_metamodels[0].evaluate(x_points), color='red', linewidth=3, linestyle='--', label='Metamodel')\n",
+    "axs[0].set_title('$f_1(x)$')\n",
+    "axs[0].legend()\n",
+    "\n",
+    "axs[1].plot(x_points, True_functions[1][1](x_points), linewidth=4, label='True function')\n",
+    "axs[1].plot(x_points, symbolic_metamodels[1].evaluate(x_points), color='red', linewidth=3, linestyle='--', label='Metamodel')\n",
+    "axs[1].set_title('$f_2(x)$')\n",
+    "axs[1].legend()\n",
+    "\n",
+    "axs[2].plot(x_points, True_functions[2][1](x_points), linewidth=4, label='True function')\n",
+    "axs[2].plot(x_points, symbolic_metamodels[2].evaluate(x_points), color='red', linewidth=3, linestyle='--', label='Metamodel')\n",
+    "axs[2].set_title('$f_3(x)$')\n",
+    "axs[2].legend()\n",
+    "\n",
+    "axs[3].plot(x_points, True_functions[3][1](x_points), linewidth=4, label='True function')\n",
+    "axs[3].plot(x_points, symbolic_metamodels[3].evaluate(x_points), color='red', linewidth=3, linestyle='--', label='Metamodel')\n",
+    "axs[3].set_title('$f_4(x)$')\n",
+    "axs[3].legend()\n",
+    "\n",
+    "for ax in axs.flat:\n",
+    "    ax.set(xlabel='$x$', ylabel='$f(x)$')\n",
+    "\n",
+    "for ax in axs.flat:\n",
+    "    ax.label_outer()\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## References\n",
+    "\n",
+    "[1] Patryk Orzechowski, William La Cava, and Jason H Moore. Where are we now?: a large benchmark study of recent symbolic regression methods. *In Proceedings of the Genetic and Evolutionary Computation Conference*, pages 1183–1190. ACM, 2018.\n",
+    "\n",
+    "[2] Telmo Menezes and Camille Roth. Symbolic regression of generative network models. *Scientific reports*, 4:6284, 2014.\n",
+    "\n",
+    "[3] Ekaterina J Vladislavleva, Guido F Smits, and Dick Den Hertog. Order of nonlinearity as a com344 plexity measure for models generated by symbolic regression via pareto genetic programming. *IEEE Transactions on Evolutionary Computation*, 13(2):333–349, 2009.\n"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.8"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/alg/symbolic_metamodeling/3-_Building_Symbolic_Metamodels.ipynb b/alg/symbolic_metamodeling/3-_Building_Symbolic_Metamodels.ipynb
new file mode 100644
index 00000000..316fe49b
--- /dev/null
+++ b/alg/symbolic_metamodeling/3-_Building_Symbolic_Metamodels.ipynb
@@ -0,0 +1,224 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Building symbolic metamodels\n",
+    "\n",
+    "A symbolic metamodel takes as an input a machine learning model, and outputs a symbolic equation describing its response surface as illustrated in the Figure below. This notebook provides the steps needed for building a symbolic metamodel for an XGBoost model fitted to the \"UCI absenteeism at work dataset: https://archive.ics.uci.edu/ml/datasets/Absenteeism+at+work"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<img src=\"images/FigB1.png\", width=640>"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We first import the necessary modules for symbolic metamodeling"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from pysymbolic.algorithms.symbolic_metamodeling import *"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Next, we import the necessary libraries fordata processing, splitting the data into training and testing samples, and XGBoost model fitting "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "from sklearn.preprocessing import MinMaxScaler\n",
+    "from xgboost import XGBClassifier\n",
+    "from sklearn.linear_model import LogisticRegression\n",
+    "\n",
+    "from sklearn.metrics import roc_auc_score\n",
+    "from sklearn.model_selection import train_test_split\n",
+    "\n",
+    "\n",
+    "data          = pd.read_csv(\"data/absenteeism.csv\", delimiter=';')\n",
+    "\n",
+    "feature_names = ['Transportation expense', 'Distance from Residence to Work',\n",
+    "                 'Service time', 'Age', 'Work load Average/day ', 'Hit target',\n",
+    "                 'Disciplinary failure', 'Education', 'Son', 'Social drinker',\n",
+    "                 'Social smoker', 'Pet', 'Weight', 'Height', 'Body mass index']\n",
+    "\n",
+    "scaler        = MinMaxScaler(feature_range=(0, 1))\n",
+    "X             = scaler.fit_transform(data[feature_names])\n",
+    "Y             = ((data['Absenteeism time in hours'] > 4) * 1) \n",
+    "\n",
+    "X_train, X_test, Y_train, Y_test = train_test_split(X, Y, test_size=0.33, random_state=42)\n",
+    "\n",
+    "model         = XGBClassifier()\n",
+    "\n",
+    "model.fit(X_train, Y_train)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Let us examine the AUC-ROC performance of the fitted XGBoost model on the test data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "roc_auc_score(Y_test, model.predict_proba(X_test)[:, 1])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "How much better does XGBoost perform compared to a standard logistic regression?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "model_L = LogisticRegression()\n",
+    "\n",
+    "model_L.fit(X_train, Y_train)\n",
+    "\n",
+    "roc_auc_score(Y_test, model_L.predict_proba(X_test)[:, 1])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Now let us create a symbolic metamodel instance. This takes the fitted model **model** and the training features **X_train** as follows"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "metamodel = symbolic_metamodel(model, X_train)\n",
+    "\n",
+    "metamodel.fit(num_iter=10, batch_size=X_train.shape[0], learning_rate=.01)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Now let us see how this metamodel performs using the **evaluate** method..."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "Y_metamodel = metamodel.evaluate(X_test)\n",
+    "\n",
+    "roc_auc_score(Y_test, Y_metamodel)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "It performs close to the original XGBoost model! Now let us see the exact symbolic equation of the model in terms of Meijer-G functions"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "By invoking the **.fit()** method in the **symbolic_metamodel** class, we essentially transform the XGBoost model to a space of interpretable symbolic equations as shown in the Figure below, without much loss in predictive accuracy. "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<img src=\"images/FigB2.png\", width=320>"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Now we show how to extract the exact and approximate equation $g(x)$ from the metamodel class..."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "metamodel.exact_expression"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "collapsed": true
+   },
+   "source": [
+    "Because this equation involves Hypergeometric functions, we might prefer to work with the polynomial approximation..."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "metamodel.approx_expression"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.8"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/alg/symbolic_metamodeling/README.md b/alg/symbolic_metamodeling/README.md
new file mode 100644
index 00000000..adf2f5f7
--- /dev/null
+++ b/alg/symbolic_metamodeling/README.md
@@ -0,0 +1,3 @@
+# Symbolic-Metamodeling
+
+Code for the NeurIPS 2019 paper "Demystifying Black-box Models with Symbolic Metamodels".
diff --git a/alg/symbolic_metamodeling/data/absenteeism.csv b/alg/symbolic_metamodeling/data/absenteeism.csv
new file mode 100644
index 00000000..4760632b
--- /dev/null
+++ b/alg/symbolic_metamodeling/data/absenteeism.csv
@@ -0,0 +1,741 @@
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diff --git a/alg/symbolic_metamodeling/pysymbolic/algorithms/metamodeling.py b/alg/symbolic_metamodeling/pysymbolic/algorithms/metamodeling.py
new file mode 100644
index 00000000..52245a11
--- /dev/null
+++ b/alg/symbolic_metamodeling/pysymbolic/algorithms/metamodeling.py
@@ -0,0 +1,556 @@
+
+# Copyright (c) 2019, Ahmed M. Alaa
+# Licensed under the BSD 3-clause license (see LICENSE.txt)
+
+
+from pysymbolic.algorithms.instancewise_feature_selection import *
+import numpy as np
+from copy import deepcopy
+from sklearn.preprocessing import PolynomialFeatures
+from pysymbolic.algorithms.keras_predictive_models import *
+from pysymbolic.benchmarks.synthetic_datasets import *
+from pysymbolic.utilities.instancewise_metrics import *
+from pysymbolic.models.special_functions import MeijerG
+from mpmath import *
+from sympy import *
+from sympy.functions import re
+from sklearn.metrics import roc_auc_score
+from sklearn.linear_model import LinearRegression, LogisticRegression
+
+# TO DO: re-fit linear coeff for every new func
+
+
+def eval_one_dimension(Gmodel, X, midpoint=0.5):
+        
+    """
+    Returns a polynomial approximate expression for the Meijer G-function using a Taylor series approximation 
+    """ 
+    try:
+    
+        Gmodel.Taylor_poly_ = taylor(Gmodel.math_expr, midpoint, Gmodel.approximation_order)
+        coeffp              = Gmodel.Taylor_poly_[::-1]
+    
+        approx_expr         = [coeffp[k] * ((X - midpoint)**(Gmodel.approximation_order - k)) for k in range(Gmodel.approximation_order)]
+        approx_expr         = np.sum(approx_expr, axis=0) + coeffp[-1]
+        approx_expr         = [approx_expr[k].real for k in range(len(approx_expr))]  
+    
+    except:
+        
+        approx_expr         = [0 for k in range(X.shape[0])] 
+    
+    return np.float64(approx_expr)
+
+
+def eval_one_dimension_(Meijer_G_func, dim_name, vals):
+
+    evaluated = [simplify(sympify(str(re(Meijer_G_func.approx_expression()))).subs(dim_name, vals[k])).evalf() for k in range(vals.shape[0])]
+    evaluated = np.array(evaluated)
+    
+    return evaluated 
+
+
+def Kolmogorov_expression(n_dim, Thetas, Orders, Thetas_out, Orders_out, r=1):
+    
+    symbols_ = 'X0 '
+
+    for m in range(n_dim - 1):
+    
+        if m < n_dim - 2:
+            
+            symbols_ += 'X'+str(m+1)+' '  
+        else:
+            
+            symbols_ += 'X'+str(m+1)
+    
+    
+    dims_       = symbols(symbols_)  
+    
+    inner_funcs = [MeijerG(theta=Thetas[k], order=Orders[k]) for k in range(n_dim)]
+    outer_funcs = MeijerG(theta=Thetas_out[0], order=Orders_out[0])
+    
+    out_expr_   = 0
+    x           = symbols('x')
+    
+    for v in range(n_dim):
+
+        out_expr_  += sympify(str(re(inner_funcs[v].approx_expression()))).subs(x, dims_[v]) 
+
+    
+    out_expr_ = simplify(sympify(str(re(outer_funcs.expression()))).subs(x, out_expr_))
+
+    return out_expr_, dims_
+
+
+def eval_Kolmogorov_gradient_only(const_, X, theta, Orders, Orders_out, h):
+    
+    n_dim             = X.shape[1]
+    theta             = theta.reshape((-1,1))
+    theta_shifts      = np.tile(theta, [1, theta.shape[0]]).T + np.eye(theta.shape[0]) * h
+    
+    num_inner_params  = Orders[0][2] + Orders[0][3] + 1
+    num_outer_params  = Orders_out[0][2] + Orders_out[0][3] + 1
+    tot_num_params    = num_inner_params * n_dim + num_outer_params
+    
+    f_vals_h          = []
+    
+    f_val_0, f_inners = eval_Kolmogorov_expression_only(const_, X, theta, Orders, Orders_out)
+     
+    for k in range(tot_num_params):
+        
+        f_inners_h                   = deepcopy(f_inners)
+        inner_funcs_h, outer_funcs_h = get_inner_outer_functions(n_dim, theta_shifts[k, :], Orders, Orders_out)
+        idx                          = int(np.floor(k/num_inner_params))
+        
+        if k < num_inner_params * n_dim:
+
+            f_inners_h[idx, :]       = eval_inner_functions_only(X[:, idx].reshape((-1,1)), [inner_funcs_h[idx]])
+
+        f_vals_h.append(eval_Kolmogorov_expression_(const_, X, f_inners_h, outer_funcs_h))
+                
+    f_grad = (np.concatenate(f_vals_h, axis=1) - np.tile(f_val_0 , [1, tot_num_params]))/h    
+        
+
+    return f_val_0, f_grad  
+
+
+
+def eval_Kolmogorov_expression_only(const_, X, theta, Orders, Orders_out):
+
+    x     = symbols('x')
+    n_dim = X.shape[1]
+    
+    inner_funcs, outer_funcs = get_inner_outer_functions(n_dim, theta, Orders, Orders_out) 
+    f_inners                 = eval_inner_functions_only(X, inner_funcs) 
+    f_val                    = eval_Kolmogorov_expression_(const_, X, f_inners, outer_funcs)
+       
+    return f_val, f_inners
+
+
+
+def evaluate_Kolmogorov(out_expr, dims_, x_in):
+    
+    n_dim    = len(dims_)
+    val_expr = sympify(str(re(out_expr))).subs(dims_[0], x_in[0])
+
+    for k in range(n_dim-1):
+    
+        val_expr = sympify(str(re(val_expr))).subs(dims_[k+1], x_in[k+1])
+
+    return val_expr.evalf()
+
+
+def get_theta_parameters(Thetas, Orders_in, Orders_out, n_dim):
+    
+    Theta_inner      = []
+    
+    theta_sizes_in   = [Orders_in[k][2] + Orders_in[k][3] for k in range(len(Orders_in))]
+    pivot_           = 0
+    
+    for k in range(len(Orders_in)):
+        
+        Theta_inner.append(Thetas[pivot_ : pivot_ + theta_sizes_in[k] + 1])
+        pivot_      += theta_sizes_in[k] + 1
+    
+    Theta_outer      = Thetas[pivot_ : ] 
+
+    return Theta_inner, [Theta_outer]
+
+
+
+def Optimize(Loss, theta_0):
+    
+    opt       = minimize(Loss, theta_0, method='CG',  
+                         options={'xtol': 1e-2, 'maxiter':1, 'eps': 0.5, 'disp': True})
+    Loss_     = opt.fun
+    theta_opt = opt.x
+    
+    return theta_opt, Loss_ 
+
+
+def combine_inner_outer(const_, _outer_funcs, x, _inner_funcs):
+    
+    #return const_/(const_ + eval_one_dimension(_outer_funcs, _inner_funcs))
+    return const_/(const_ + np.exp(-1*_inner_funcs))
+
+def stretch_G_params(G):
+    
+    stretched_params_ = np.concatenate([np.concatenate(G.a_p).reshape((-1,1)), 
+                                        np.concatenate(G.b_q).reshape((-1,1)), 
+                                        np.array(G._const).reshape((-1,1))]).reshape(-1,)
+    
+    return stretched_params_
+
+
+def assign_G_params(G, new_params):
+    
+    G_new     = deepcopy(G)
+    
+    a_p_      = new_params[: len(G.a_p) + 1] 
+    b_q_      = new_params[len(G.a_p) + 1: len(G.a_p) + len(G.b_q)]
+    
+    G_new.a_p = [a_p_[:G_new.order[1]], a_p_[G_new.order[1]:]]
+    G_new.b_q = [b_q_[:G_new.order[0]], b_q_[G_new.order[0]:]]
+    
+    G_new._const  = new_params[-1]
+    
+    return G_new
+    
+def MeijerG_finite_difference(G, h):
+    
+    num_params         = G.order[2] + G.order[3] + 1
+    G_h                = []
+    
+    stretched_params_  = stretch_G_params(G)
+    finite_diff_params = np.tile(stretched_params_, [num_params, 1]) + np.eye(num_params) * h
+    
+    for k in range(num_params):
+        
+        G_h.append(assign_G_params(G, finite_diff_params[k, :]))
+    
+    return G_h    
+
+def get_inner_outer_functions(n_dim, theta, Orders, Orders_out):
+    
+    theta         = theta.reshape((-1,))
+    
+    Thetas, Thetas_out = get_theta_parameters(theta, Orders, Orders_out, n_dim=n_dim)
+    
+    inner_funcs   = [MeijerG(theta=Thetas[k], order=Orders[k]) for k in range(n_dim)]
+    outer_funcs   = MeijerG(theta=Thetas_out[0], order=Orders_out[0])
+    
+    return inner_funcs, outer_funcs
+
+
+def eval_inner_functions_only(X, inner_funcs):
+    
+    x             = symbols('x')
+    n_dim         = X.shape[1]
+    f_inners_     = np.real(np.array([eval_one_dimension(inner_funcs[u], X[:, u]) for u in range(len(inner_funcs))]))
+    
+    return f_inners_
+
+def eval_Kolmogorov_expression_(const_, X, f_inners_, outer_funcs):
+    
+    x             = symbols('x')
+    n_dim         = X.shape[1]
+    
+    f_inners      = np.sum(f_inners_, axis=0)
+    f_val         = combine_inner_outer(const_, outer_funcs, x, f_inners).reshape((-1,1))
+    
+    return f_val
+
+
+def exact_Kolmogorov_expression(n_dim, theta, Orders, Orders_out, const_, r=1):
+    
+    Thetas, Thetas_out = get_theta_parameters(theta.reshape((-1,)), Orders, Orders_out, n_dim)
+    
+    symbols_ = 'X0 '
+
+    for m in range(n_dim - 1):
+    
+        if m < n_dim - 2:
+            symbols_ += 'X'+str(m+1)+' '  
+        else:
+            symbols_ += 'X'+str(m+1)
+    
+    dims_       = symbols(symbols_)  
+    
+    inner_funcs = [MeijerG(theta=Thetas[k], order=Orders[k]) for k in range(n_dim)]
+    outer_funcs = MeijerG(theta=Thetas_out[0], order=Orders_out[0])
+    
+    out_expr_   = 0
+    x           = symbols('x')
+    
+    for v in range(n_dim):
+        
+        out_expr_  += sympify(str(re(inner_funcs[v].expression()))).subs(x, dims_[v]) 
+
+    
+    out_expr_  = simplify(sympify(str(re(outer_funcs.expression()))).subs(x, out_expr_))
+    
+    final_expr = simplify(sympify(str(const_/(const_ + out_expr_))))
+
+    return final_expr, dims_
+
+
+class Symbolic_Metamodel:
+    
+    def __init__(self, 
+                 n_dim=10, 
+                 batch_size=100, 
+                 num_iter=30,
+                 learning_rate= 1e-3,
+                 feature_types=None,
+                 **kwargs):
+        
+        self.n_dim         = n_dim
+        self.batch_size    = batch_size
+        self.num_iter      = num_iter
+        self.learning_rate = learning_rate
+        self.exact_grad    = False
+        self.epsilon       = 1e-6
+        self.feature_types = feature_types
+
+        
+    def fit(self, pred_model, x_train):
+        
+        self.pred_model = pred_model
+        self.x_train    = x_train
+        self.n_dim      = x_train.shape[1]
+        
+        self.initialize_thetas()
+        
+        thetas_sgd, Losses_   = self.SGD_optimizer()
+        self.thetas_opt       = thetas_sgd[-1]
+        
+        self.metamodel, dims_ = self.get_exact_Kolmogorov_expression(self.thetas_opt)
+        self.exact_pred_expr  = pred_model 
+        
+    
+    def get_exact_Kolmogorov_expression(self, theta):
+    
+        Thetas, Thetas_out        = get_theta_parameters(theta.reshape((-1,)), self.Orders_in, self.Orders_out, self.n_dim)
+        Thetas_in_0, Thetas_out_0 = get_theta_parameters(self.theta_0.reshape((-1,)), self.Orders_in, self.Orders_out, self.n_dim)  
+    
+        symbols_ = 'X0 '
+
+        for m in range(self.single_dim - 1):
+    
+            if m < self.single_dim - 2:
+            
+                symbols_ += 'X' + str(m + 1) + ' '  
+            
+            else:
+            
+                symbols_ += 'X' + str(m + 1)
+    
+        dims_       = symbols(symbols_)  
+    
+        inner_funcs = [MeijerG(theta=Thetas[k], order=self.Orders_in[k]) for k in range(self.n_dim)]
+        outer_funcs = MeijerG(theta=Thetas_out[0], order=self.Orders_out[0])
+
+        inner_fun_0 = [MeijerG(theta=Thetas_in_0[k], order=self.Orders_in[k]) for k in range(self.n_dim)]
+    
+        out_expr_   = 0
+        x           = symbols('x')
+    
+        for v in range(self.n_dim):
+            
+            if v < self.single_dim:
+
+                if v not in self.zero_locs:
+
+                    out_expr_  += sympify(str(re(inner_funcs[v].expression()))).subs(x, dims_[v])
+
+            else:
+
+                if v not in self.zero_locs:
+                
+                    dim_0       = self.dim_combins[self.single_dim + (v-self.single_dim)][0]
+                    dim_1       = self.dim_combins[self.single_dim + (v-self.single_dim)][1]
+
+                    out_expr_  += sympify(str(re(inner_funcs[v].expression()))).subs(x, dims_[dim_0] * dims_[dim_1])
+
+        out_expr_  = simplify(sympify(str(re(outer_funcs.expression()))).subs(x, out_expr_))           
+    
+        final_expr = simplify(sympify(str(self.init_scale/(self.init_scale + out_expr_))))
+
+        return final_expr, dims_    
+        
+        
+    def initialize_thetas(self):
+        
+        self.poly = PolynomialFeatures(interaction_only=True, include_bias = False)
+        self.poly.fit(self.x_train)
+
+        self.origin_x_train  = self.x_train
+        self.x_train         = self.poly.transform(self.x_train)
+        self.single_dim      = self.n_dim
+        self.n_dim           = self.x_train.shape[1]
+        self.dim_combins     = list(self.poly._combinations(self.single_dim, degree=2, interaction_only=True, include_bias = False))
+        
+        initializer_model = LogisticRegression()
+        binarized_thresh  = 0.5
+        
+        if hasattr(self.pred_model, "predict_proba"):
+            
+            initializer_model.fit(self.x_train, (self.pred_model.predict_proba(self.origin_x_train)[:,1] > binarized_thresh) * 1)
+            
+        else:
+            
+            initializer_model.fit(self.x_train, (self.pred_model.predict(self.origin_x_train) > binarized_thresh) * 1)
+         
+        
+        self.init_coeff = initializer_model.coef_[0] + self.epsilon
+        self.init_scale = np.exp(initializer_model.intercept_)
+        self.zero_locs  = list(np.where(np.abs(self.init_coeff) <= self.epsilon)[0])
+    
+        Thetas_in_0, Thetas_out_0 = self.initialize_hyperparameters()
+        self.theta_0              = np.hstack((Thetas_in_0, Thetas_out_0)).reshape((-1,))
+    
+    
+    def initialize_hyperparameters(self):
+        
+        self.Orders_in  = [[0,1,3,1]] * self.n_dim 
+        self.Orders_out = [[1,0,0,1]]
+    
+        Thetas       = [np.array([2.0, 2.0, 2.0, 1.0, self.init_coeff[k]]) for k in range(self.n_dim)] 
+        Thetas_out   = [np.array([0.0,1.0])]
+    
+        Thetas_in_0  = np.array(Thetas).reshape((1,-1))
+        Thetas_out_0 = np.array(Thetas_out).reshape((1,-1))
+    
+        return Thetas_in_0, Thetas_out_0
+
+    
+    def SGD_optimizer(self):
+        
+        theta_     = self.theta_0.reshape((-1,1)) 
+        losses_    = []
+        thetas_opt = []
+        
+        beta_1     = 0.9 
+        beta_2     = 0.999 
+
+        eps_stable = 1e-8 
+        m          = 0
+        v          = 0
+        step_size  = 0.001
+        
+        for _ in range(self.num_iter):
+            
+            start_time       = time.time()
+            loss_, loss_grad = self.Loss_grad(theta_)
+            
+            #
+            loss_grad[self.single_dim : loss_grad.shape[0] - 2, 0] = 0  
+            #
+
+            if _ <= self.num_iter - 1:
+                
+                theta_  = theta_ - self.learning_rate * loss_grad
+            
+            m     = beta_1 * m + (1 - beta_1) * loss_grad
+            v     = beta_2 * v + (1 - beta_2) * np.power(loss_grad, 2)
+    
+            m_hat = m / (1 - np.power(beta_1, _))
+            v_hat = v / (1 - np.power(beta_2, _))
+
+            #theta_ = theta_ - (step_size * m_hat / (np.sqrt(v_hat) + eps_stable)) 
+           
+            print("-- Search epoch: %s --- Loss: %0.5f --- Run time: %0.2f seconds ---" % (_, loss_, time.time() - start_time)) 
+            
+            losses_.append(loss_)
+            thetas_opt.append(theta_)
+        
+        return thetas_opt, losses_    
+        
+    
+    def Loss_grad(self, theta):
+
+        subsamples_    = np.random.choice(list(range(self.x_train.shape[0])), 
+                                          size=self.batch_size, 
+                                          replace=False)
+        
+        x_             = self.x_train[subsamples_, :]
+        x_original     = self.origin_x_train[subsamples_, :]
+        
+        f_est, f_grad  = eval_Kolmogorov_gradient_only(self.init_scale,
+                                                       x_, 
+                                                       theta.reshape((-1,)),
+                                                       self.Orders_in,
+                                                       self.Orders_out,
+                                                       h=0.01)
+        
+        f_est          = f_est.reshape((-1,1))
+        
+        if hasattr(self.pred_model, "predict_proba"):
+            
+            #y_true = ((self.pred_model.predict_proba(x_original)[:,1] > 0.5)*1).reshape((-1,1))
+            f_true = self.pred_model.predict_proba(x_original)[:,1].reshape((-1,1))
+            
+        else:
+            
+            #y_true = ((self.pred_model.predict(x_original)[:,1] > 0.5)*1).reshape((-1,1))
+            f_true = self.pred_model.predict(x_original)[:,1].reshape((-1,1))
+        
+        
+        loss_type = 'mean_square_error'
+        
+        if loss_type == 'mean_square_error':
+            
+            loss_per_param = np.tile(-1 * 2 * (f_true - f_est), [1, f_grad.shape[1]])
+            loss_grad      = np.mean(loss_per_param * f_grad, axis=0).reshape((-1,1))
+            loss_          = np.mean((f_true - f_est)**2)
+            
+        elif loss_type == 'cross_entropy':
+            
+            loss_per_param = np.tile(- (f_true - f_est)/((1 - f_est) * f_est), [1, f_grad.shape[1]])
+            loss_grad      = np.mean(loss_per_param * f_grad, axis=0).reshape((-1,1))
+            loss_          = np.mean(-1 * (np.multiply(f_true, np.log(f_est)) + np.multiply((1 - f_true), np.log(1 - f_est)))) 
+            
+        #loss_c     = roc_auc_score(y_true, f_est)
+        #print("AUC", loss_c)
+        
+        return loss_, loss_grad    
+
+    
+    def evaluate(self, x_in):
+
+        y_est, _  = eval_Kolmogorov_gradient_only(self.init_scale,
+                                                  self.poly.transform(x_in), 
+                                                  self.thetas_opt,
+                                                  self.Orders_in,
+                                                  self.Orders_out,
+                                                  h=0.01)
+        return y_est
+    
+    def get_gradient(self, x_in):
+        
+        grad_ = []
+        h     = 0.01
+        x_in  = x_in.reshape((1,-1))
+        
+        if self.exact_grad:
+            
+            gradients_ = []
+            
+            for var in vars_:
+                
+                gradients_.append(diff(sym_meta_mod, var))
+
+                for k in range(x_test.shape[0]):
+                    
+                    grad_.append([gradients_[v].subs(vars_[0], x_test[k,0]).subs(vars_[1], x_test[k,1]).subs(vars_[2], x_test[k,2]).subs(vars_[3], x_test[k,3]).subs(vars_[4], x_test[k,4]).subs(vars_[5], x_test[k,5]).subs(vars_[6], x_test[k,6]).subs(vars_[7], x_test[k,7]).subs(vars_[8], x_test[k,8]).subs(vars_[9], x_test[k,9]) for v in range(len(gradients_))])
+            
+        else:
+            
+            for u in range(x_in.shape[1]):
+        
+                x_in_h       = deepcopy(x_in)
+
+                if self.feature_types is not None:
+                
+                    x_in_h[0, u] = ((self.feature_types[u]=='c')*1) * (x_in_h[0, u] + h) + ((self.feature_types[u]=='b')*1) * ((x_in_h[0, u]==0)*1)     
+
+                else:
+
+                    x_in_h[0, u] = x_in_h[0, u] + h
+                    
+        
+                grad_.append(np.abs(self.exact_pred_expr.predict_proba(x_in_h)[:,1] - self.exact_pred_expr.predict_proba(x_in)[:,1])/h)
+        
+    
+        return np.array(grad_)
+        
+    def get_instancewise_scores(self, x_in):
+        
+        scores = []
+        
+        for v in range(x_in.shape[0]): 
+            
+            scores.append(self.get_gradient(x_in[v, :]))
+        
+        
+        return scores
+
diff --git a/alg/symbolic_metamodeling/pysymbolic/algorithms/symbolic_expressions.py b/alg/symbolic_metamodeling/pysymbolic/algorithms/symbolic_expressions.py
new file mode 100644
index 00000000..97da5f7c
--- /dev/null
+++ b/alg/symbolic_metamodeling/pysymbolic/algorithms/symbolic_expressions.py
@@ -0,0 +1,134 @@
+# Copyright (c) 2019, Ahmed M. Alaa
+# Licensed under the BSD 3-clause license (see LICENSE.txt)
+
+from __future__ import absolute_import, division, print_function
+
+import sys, os, time
+import numpy as np
+import pandas as pd
+import scipy as sc
+import itertools
+
+from mpmath import *
+from sympy import *
+
+from scipy.optimize import minimize
+
+import warnings
+warnings.filterwarnings("ignore")
+if not sys.warnoptions:
+    warnings.simplefilter("ignore")
+
+from pysymbolic.models.special_functions import MeijerG
+from pysymbolic.utilities.performance import compute_Rsquared
+
+#from sympy.printing.theanocode import theano_function
+from sympy.utilities.autowrap import ufuncify
+
+from gplearn.genetic import SymbolicRegressor
+
+
+def load_hyperparameter_config():
+
+    hyperparameter_space = {
+                        'hyper_1': (np.array([1.0,1.0]), [1,0,0,1]),
+                        'hyper_2': (np.array([0.0,0.0,1.0,0.0,1.0]), [1,2,2,2]),
+                        'hyper_3': (np.array([2.0,2.0,2.0,1.0,1.0]), [0,1,3,1]),
+                        'hyper_4': (np.array([0.0,0.0,20.0]), [1,0,0,2])
+                        }
+
+    return hyperparameter_space                    
+
+
+def Optimize(Loss, theta_0):
+    opt       = minimize(Loss, theta_0, method='CG', options={'xtol': 1e-8, 'disp': True})
+    Loss_     = opt.fun
+    theta_opt = opt.x
+    
+    return theta_opt, Loss_ 
+
+
+def symbolic_modeling(f, G_order, theta_0, npoints, xrange):
+    X         = np.linspace(xrange[0], xrange[1], npoints)
+
+    def Loss(theta):
+        
+        G     = MeijerG(theta=theta, order=G_order)
+        loss_ = np.mean((f(X) - G.evaluate(X))**2)
+        print("Expression:", G.expression())
+        print("Loss:", loss_)
+        
+        return loss_
+    
+    theta_opt, Loss_ = Optimize(Loss, theta_0)
+    symbolic_model   = MeijerG(theta=theta_opt, order=G_order)
+
+    return symbolic_model, Loss_ 
+
+def get_symbolic_model(f, npoints, xrange):
+
+    hyperparameter_space = load_hyperparameter_config() 
+    loss_threshold       = 10e-5
+
+    symbol_exprs         = []
+    losses_              = [] 
+
+    for k in range(len(hyperparameter_space)):
+
+        symbolic_model, Loss_ = symbolic_modeling(f, hyperparameter_space['hyper_'+str(k+1)][1], 
+                                                  hyperparameter_space['hyper_'+str(k+1)][0], npoints, xrange)
+
+        symbol_exprs.append(symbolic_model)
+        losses_.append(Loss_)
+
+        if losses_[-1] <= loss_threshold:
+            break 
+
+    best_model = np.argmin(np.array(losses_))
+
+    X          = np.linspace(xrange[0], xrange[1], npoints).reshape((-1,1))
+    
+    Y_true     = f(X).reshape((-1,1))
+    Y_est      = symbol_exprs[best_model].evaluate(X).reshape((-1,1))
+
+    R2_perf    = compute_Rsquared(Y_true, Y_est)
+    
+    return symbol_exprs[best_model], R2_perf    
+
+
+def symbolic_regressor(f, npoints, xrange):
+
+    X  = np.linspace(xrange[0], xrange[1], npoints).reshape((-1,1))
+    y  = f(X)
+
+    est_gp = SymbolicRegressor(population_size=5000,
+                               generations=20, stopping_criteria=0.01,
+                               p_crossover=0.7, p_subtree_mutation=0.1,
+                               p_hoist_mutation=0.05, p_point_mutation=0.1,
+                               max_samples=0.9, verbose=1,
+                               parsimony_coefficient=0.01, random_state=0)
+
+    est_gp.fit(X, y)
+
+    sym_expr = str(est_gp._program)
+
+    converter = {
+        'sub': lambda x, y : x - y,
+        'div': lambda x, y : x/y,
+        'mul': lambda x, y : x*y,
+        'add': lambda x, y : x + y,
+        'neg': lambda x    : -x,
+        'pow': lambda x, y : x**y
+    }
+
+    x, X0   = symbols('x X0')
+    sym_reg = simplify(sympify(sym_expr, locals=converter))
+    sym_reg = sym_reg.subs(X0,x)
+
+    Y_true  = y.reshape((-1,1))
+    Y_est   = np.array([sympify(str(sym_reg)).subs(x,X[k]) for k in range(len(X))]).reshape((-1,1))
+
+    R2_perf = compute_Rsquared(Y_true, Y_est)
+
+    return sym_reg, R2_perf
+
diff --git a/alg/symbolic_metamodeling/pysymbolic/algorithms/symbolic_metamodeling.py b/alg/symbolic_metamodeling/pysymbolic/algorithms/symbolic_metamodeling.py
new file mode 100644
index 00000000..01fcbee5
--- /dev/null
+++ b/alg/symbolic_metamodeling/pysymbolic/algorithms/symbolic_metamodeling.py
@@ -0,0 +1,348 @@
+
+
+# Copyright (c) 2019, Ahmed M. Alaa
+# Licensed under the BSD 3-clause license (see LICENSE.txt)
+
+from __future__ import absolute_import, division, print_function
+
+import sys, os, time
+import numpy as np
+import pandas as pd
+import scipy as sc
+from scipy.special import digamma, gamma
+import itertools
+import copy
+
+from mpmath import *
+from sympy import *
+#from sympy.printing.theanocode import theano_function
+from sympy.utilities.autowrap import ufuncify
+
+from pysymbolic.models.special_functions import *
+
+from tqdm import tqdm, trange, tqdm_notebook, tnrange
+
+import warnings
+warnings.filterwarnings("ignore")
+if not sys.warnoptions:
+    warnings.simplefilter("ignore")
+
+from sklearn.preprocessing import PolynomialFeatures
+from sklearn.preprocessing import MinMaxScaler
+from xgboost import XGBClassifier
+from sklearn.linear_model import LinearRegression, LogisticRegression, Ridge
+from sympy import Integral, Symbol
+from sympy.abc import x, y
+
+from sklearn.metrics import roc_auc_score
+from sklearn.model_selection import train_test_split
+
+
+def is_ipython():
+    
+    try:
+        
+        __IPYTHON__
+        
+        return True
+    
+    except NameError:
+        
+        return False
+
+
+def basis(a, b, c, x, hyper_order=[1, 2, 2, 2]):
+    
+    epsilon = 0.001
+    
+    func_   = MeijerG(theta=[a, a, a, b, c], order=hyper_order, approximation_order=3)
+    
+    return func_.evaluate(x + epsilon)
+
+def basis_expression(a, b, c, hyper_order=[1, 2, 2, 2]):
+    
+    func_ = MeijerG(theta=[a, a, a, b, c], order=hyper_order, approximation_order=3)
+    
+    return func_
+    
+
+def basis_grad(a, b, c, x, hyper_order=[1, 2, 2, 2]):
+    
+    K1     = sc.special.digamma(a - b + 1)
+    K2     = sc.special.digamma(a - b + 2)
+    K3     = sc.special.digamma(a - b + 3)
+    K4     = sc.special.digamma(a - b + 4)
+    
+    G1     = sc.special.gamma(a - b + 1)
+    G2     = sc.special.gamma(a - b + 2)
+    G3     = sc.special.gamma(a - b + 3)
+    G4     = sc.special.gamma(a - b + 4)
+    
+    nema1  = 6 * ((c * x)**3) * (K4 - np.log(c * x))
+    nema2  = 2 * ((c * x)**2) * (-K3 + np.log(c * x))
+    nema3  = (c * x) * (K2 - np.log(c * x))
+    nema4  = -1 * (K1 - np.log(c * x))
+    
+    nemb1  = -1 * 6 * ((c * x)**3) * K4 
+    nemb2  = 2 * ((c * x)**2) * K3 
+    nemb3  = -1 * (c * x) * K2 
+    nemb4  = K1 
+    
+    nemc1  = -1 * (c**2) * (x**3) * (6 * a + 18)
+    nemc2  = (c * (x**2)) * (4 + 2 * a) 
+    nemc3  = -1 * x * (1 + a)
+    nemc4  = a / c
+    
+    grad_a = ((c * x) ** a) * (nema1/G4 + nema2/G3 + nema3/G2 + nema4/G1) 
+    grad_b = ((c * x) ** a) * (nemb1/G4 + nemb2/G3 + nemb3/G2 + nemb4/G1) 
+    grad_c = ((c * x) ** a) * (nemc1/G4 + nemc2/G3 + nemc3/G2 + nemc4/G1) 
+
+    return grad_a, grad_b, grad_c
+
+
+
+def tune_single_dim(lr, n_iter, x, y, verbosity=False):
+    
+    epsilon   = 0.001
+    x         = x + epsilon
+    
+    a         = 2
+    b         = 1
+    c         = 1
+    
+    batch_size  = np.min((x.shape[0], 500)) 
+    
+    for u in range(n_iter):
+        
+        batch_index = np.random.choice(list(range(x.shape[0])), size=batch_size)
+        
+        new_grads   = basis_grad(a, b, c, x[batch_index])
+        func_true   = basis(a, b, c, x[batch_index])
+        
+        loss        =  np.mean((func_true - y[batch_index])**2)
+        
+        if verbosity:
+        
+            print("Iteration: %d \t--- Loss: %.3f" % (u, loss))
+        
+        grads_a   = np.mean(2 * new_grads[0] * (func_true - y[batch_index]))
+        grads_b   = np.mean(2 * new_grads[1] * (func_true - y[batch_index]))
+        grads_c   = np.mean(2 * new_grads[2] * (func_true - y[batch_index]))
+        
+        a         = a - lr * grads_a
+        b         = b - lr * grads_b
+        c         = c - lr * grads_c
+        
+    return a, b, c 
+
+
+def compose_features(params, X):
+    
+    X_out = [basis(a=float(params[k, 0]), b=float(params[k, 1]), c=float(params[k, 2]), 
+                   x=X[:, k], hyper_order=[1, 2, 2, 2]) for k in range(X.shape[1])] 
+    
+    return np.array(X_out).T
+    
+
+class symbolic_metamodel:
+    
+    def __init__(self, model, X, mode="classification"):
+        
+        self.feature_expander = PolynomialFeatures(2, include_bias=False, interaction_only=True)
+        self.X                = X
+        self.X_new            = self.feature_expander.fit_transform(X) 
+        self.X_names          = self.feature_expander.get_feature_names()
+        
+        if mode == "classification": 
+        
+            self.Y                = model.predict_proba(self.X)[:, 1]
+            self.Y_r              = np.log(self.Y/(1 - self.Y))
+            
+        else:
+            
+            self.Y_r              = model.predict(self.X)
+        
+        
+        self.num_basis        = self.X_new.shape[1]
+        self.params_per_basis = 3
+        self.total_params     = self.num_basis * self.params_per_basis + 1
+        
+        a_init                = 1.393628702223735 
+        b_init                = 1.020550117939659
+        c_init                = 1.491820813243337
+        
+        self.params           = np.tile(np.array([a_init, b_init, c_init]), [self.num_basis, 1])
+        
+        if get_ipython().__class__.__name__ == 'ZMQInteractiveShell':
+            
+            self.tqdm_mode = tqdm_notebook
+            
+        else:
+            
+            self.tqdm_mode = tqdm
+            
+    
+    def set_equation(self, reset_init_model=False):
+         
+        self.X_init           = compose_features(self.params, self.X_new)
+        
+        if reset_init_model:
+            
+            self.init_model   = Ridge(alpha=.1, fit_intercept=False, normalize=True) #LinearRegression
+            
+            self.init_model.fit(self.X_init, self.Y_r)
+    
+    def get_gradients(self, Y_true, Y_metamodel, batch_index=None):
+        
+        param_grads = self.params * 0
+        epsilon     = 0.001 
+        
+        for k in range(self.params.shape[0]):
+            
+            a                 = float(self.params[k, 0])
+            b                 = float(self.params[k, 1])
+            c                 = float(self.params[k, 2])
+            
+            if batch_index is None:
+                grads_vals    = basis_grad(a, b, c, self.X_new[:, k] +  epsilon)
+            else:
+                grads_vals    = basis_grad(a, b, c, self.X_new[batch_index, k] +  epsilon)
+            
+            param_grads[k, :] = np.array(self.loss_grads(Y_true, Y_metamodel, grads_vals))
+        
+        return param_grads
+        
+    
+    def loss(self, Y_true, Y_metamodel):
+        
+        return np.mean((Y_true - Y_metamodel)**2)
+    
+    def loss_grads(self, Y_true, Y_metamodel, param_grads_x):
+        
+        loss_grad_a = np.mean(2 * (Y_true - Y_metamodel) * param_grads_x[0])
+        loss_grad_b = np.mean(2 * (Y_true - Y_metamodel) * param_grads_x[1])
+        loss_grad_c = np.mean(2 * (Y_true - Y_metamodel) * param_grads_x[2])
+        
+        return loss_grad_a, loss_grad_b, loss_grad_c 
+    
+    def loss_grad_coeff(self, Y_true, Y_metamodel, param_grads_x):
+        
+        loss_grad_ = np.mean(2 * (Y_true - Y_metamodel) * param_grads_x)
+        
+        return loss_grad_
+        
+    
+    def fit(self, num_iter=10, batch_size=100, learning_rate=.01):
+        
+        print("---- Tuning the basis functions ----")
+        
+        for u in self.tqdm_mode(range(self.X.shape[1])):
+            
+            self.params[u, :] = tune_single_dim(lr=0.1, n_iter=500, x=self.X_new[:, u], y=self.Y_r)
+            
+        self.set_equation(reset_init_model=True)
+
+        self.metamodel_loss = []
+        
+        print("----  Optimizing the metamodel  ----")
+        
+        for _ in self.tqdm_mode(range(num_iter)):
+            
+            batch_index = np.random.choice(list(range(self.X_new.shape[0])), size=batch_size)
+            
+            curr_func   = self.init_model.predict(self.X_init[batch_index, :])
+            
+            self.metamodel_loss.append(self.loss(self.Y_r[batch_index], curr_func))
+            
+            param_grads  = self.get_gradients(self.Y_r[batch_index], curr_func, batch_index)
+            self.params  = self.params - learning_rate * param_grads
+            
+            coef_grads            = [self.loss_grad_coeff(self.Y_r[batch_index], curr_func, self.X_init[batch_index, k]) for k in range(self.X_init.shape[1])]
+            self.init_model.coef_ = self.init_model.coef_ - learning_rate * np.array(coef_grads)
+             
+            self.set_equation()  
+            
+            self.exact_expression, self.approx_expression = self.symbolic_expression()
+            
+    def evaluate(self, X):
+        
+        X_modified  = self.feature_expander.fit_transform(X)
+        X_modified_ = compose_features(self.params, X_modified)
+        Y_pred_r    = self.init_model.predict(X_modified_)
+        Y_pred      = 1 / (1 + np.exp(-1 * Y_pred_r))
+        
+        return Y_pred 
+    
+    def symbolic_expression(self):
+    
+        dims_ = []
+
+        for u in range(self.num_basis):
+
+            new_symb = self.X_names[u].split(" ")
+
+            if len(new_symb) > 1:
+    
+                S1 = Symbol(new_symb[0].replace("x", "X"), real=True)
+                S2 = Symbol(new_symb[1].replace("x", "X"), real=True)
+        
+                dims_.append(S1 * S2)
+    
+            else:
+        
+                S1 = Symbol(new_symb[0].replace("x", "X"), real=True)
+    
+                dims_.append(S1)
+        
+        self.dim_symbols = dims_
+        
+        sym_exact   = 0
+        sym_approx  = 0
+        x           = symbols('x')
+
+        for v in range(self.num_basis):
+    
+            f_curr      = basis_expression(a=float(self.params[v,0]), 
+                                           b=float(self.params[v,1]), 
+                                           c=float(self.params[v,2]))
+        
+            sym_exact  += sympify(str(self.init_model.coef_[v] * re(f_curr.expression()))).subs(x, dims_[v])
+            sym_approx += sympify(str(self.init_model.coef_[v] * re(f_curr.approx_expression()))).subs(x, dims_[v])    
+        
+        return 1/(1 + exp(-1*sym_exact)), 1/(1 + exp(-1*sym_approx))   
+    
+    
+    def get_gradient_expression(self):
+        
+        diff_dims  = self.dim_symbols[:self.X.shape[1]]
+        gradients_ = [diff(self.approx_expression, diff_dims[k]) for k in range(len(diff_dims))]
+
+        diff_dims  = [str(diff_dims[k]) for k in range(len(diff_dims))]
+        evaluator  = [lambdify(diff_dims, gradients_[k], modules=['math']) for k in range(len(gradients_))]
+    
+        return gradients_, diff_dims, evaluator
+    
+
+    def _gradient(self, gradient_expressions, diff_dims, evaluator, x_in):
+    
+        Dict_syms  = dict.fromkeys(diff_dims)
+
+        for u in range(len(diff_dims)):
+
+            Dict_syms[diff_dims[u]] = x_in[u]
+         
+        grad_out  = [np.abs(evaluator[k](**Dict_syms)) for k in range(len(evaluator))]
+    
+        
+        return np.array(grad_out)    
+    
+    
+    def get_instancewise_scores(self, X_in):
+    
+        gr_exp, diff_dims, evaluator = self.get_gradient_expression()
+    
+        gards_ = [self._gradient(gr_exp, diff_dims, evaluator, X_in[k, :]) for k in range(X_in.shape[0])]
+    
+        return gards_
+    
+        
diff --git a/alg/symbolic_metamodeling/pysymbolic/benchmarks/synthetic_datasets.py b/alg/symbolic_metamodeling/pysymbolic/benchmarks/synthetic_datasets.py
new file mode 100644
index 00000000..de72fb2b
--- /dev/null
+++ b/alg/symbolic_metamodeling/pysymbolic/benchmarks/synthetic_datasets.py
@@ -0,0 +1,127 @@
+
+
+"""
+This script contains functions for generating synthetic data. 
+The code is based on https://github.com/Jianbo-Lab/CCM
+and https://github.com/Jianbo-Lab/L2X
+
+""" 
+from __future__ import print_function
+import numpy as np  
+from scipy.stats import chi2
+
+def generate_XOR_labels(X):
+    y = np.exp(X[:,0]*X[:,1])
+
+    prob_1 = np.expand_dims(1 / (1+y) ,1)
+    prob_0 = np.expand_dims(y / (1+y) ,1)
+
+    y = np.concatenate((prob_0,prob_1), axis = 1)
+
+    return y
+
+def generate_orange_labels(X):
+    logit = np.exp(np.sum(X[:,:4]**2, axis = 1) - 4.0) 
+
+    prob_1 = np.expand_dims(1 / (1+logit) ,1)
+    prob_0 = np.expand_dims(logit / (1+logit) ,1)
+
+    y = np.concatenate((prob_0,prob_1), axis = 1)
+
+    return y
+
+def generate_additive_labels(X):
+    logit = np.exp(-100 * np.sin(0.2*X[:,0]) + abs(X[:,1]) + X[:,2] + np.exp(-X[:,3])  - 2.4) 
+
+    prob_1 = np.expand_dims(1 / (1+logit) ,1)
+    prob_0 = np.expand_dims(logit / (1+logit) ,1)
+
+    y = np.concatenate((prob_0,prob_1), axis = 1)
+
+    return y
+
+
+
+def generate_data(n=100, datatype='', seed = 0, val = False):
+    """
+    Generate data (X,y)
+    Args:
+        n(int): number of samples 
+        datatype(string): The type of data 
+        choices: 'orange_skin', 'XOR', 'regression'.
+        seed: random seed used
+    Return: 
+        X(float): [n,d].  
+        y(float): n dimensional array. 
+    """
+
+    np.random.seed(seed)
+
+    #X = np.random.randn(n, 10) #np.random.uniform(low=0.0, high=1.0, size=(n,10)) #
+    
+    
+    datatypes = None 
+
+    if datatype == 'orange_skin':
+        X = np.random.randn(n, 10)
+        y = generate_orange_labels(X) 
+
+    elif datatype == 'XOR':
+
+        X = np.abs(np.random.randn(n, 10))
+        y = generate_XOR_labels(X)    
+
+    elif datatype == 'nonlinear_additive':
+
+        X = np.random.randn(n, 10)
+        y = generate_additive_labels(X) 
+
+    elif datatype == 'switch':
+
+        X = np.random.randn(n, 10)
+
+        # Construct X as a mixture of two Gaussians.
+        X[:n//2,-1] += 3
+        X[n//2:,-1] += -3
+        X1 = X[:n//2]; X2 = X[n//2:]
+
+        y1 = generate_orange_labels(X1)
+        y2 = generate_additive_labels(X2)
+
+        # Set the key features of X2 to be the 4-8th features.
+        X2[:,4:8],X2[:,:4] = X2[:,:4],X2[:,4:8]
+
+        X = np.concatenate([X1,X2], axis = 0)
+        y = np.concatenate([y1,y2], axis = 0) 
+
+        # Used for evaluation purposes.
+        datatypes = np.array(['orange_skin'] * len(y1) + ['nonlinear_additive'] * len(y2)) 
+
+        # Permute the instances randomly.
+        perm_inds = np.random.permutation(n)
+        X,y = X[perm_inds],y[perm_inds]
+        datatypes = datatypes[perm_inds]
+
+
+    return X, y, datatypes 
+
+
+def create_data(datatype, n = 1000): 
+    """
+    Create train and validation datasets.
+    """
+    x_train, y_train, _         = generate_data(n = n, datatype = datatype, seed = 0)  
+    x_val, y_val, datatypes_val = generate_data(n = 10 ** 3, datatype = datatype, seed = 1)  
+
+    input_shape                 = x_train.shape[1]
+    
+    y_train_                    = (y_train[:,0]>0.5)*1
+    y_val_                      = (y_val[:,0]>0.5)*1
+
+    x_train = (x_train - np.min(x_train))/np.max(x_train - np.min(x_train))
+    x_val   = (x_val - np.min(x_val))/np.max(x_val - np.min(x_val))
+
+    return x_train, y_train_, x_val, y_val_, datatypes_val
+
+
+
diff --git a/alg/symbolic_metamodeling/pysymbolic/benchmarks/univariate_functions.py b/alg/symbolic_metamodeling/pysymbolic/benchmarks/univariate_functions.py
new file mode 100644
index 00000000..f3b776df
--- /dev/null
+++ b/alg/symbolic_metamodeling/pysymbolic/benchmarks/univariate_functions.py
@@ -0,0 +1,50 @@
+# Copyright (c) 2019, Ahmed M. Alaa
+# Licensed under the BSD 3-clause license (see LICENSE.txt)
+
+from __future__ import absolute_import, division, print_function
+
+import sys, os, time
+import numpy as np
+import pandas as pd
+from scipy.special import jv
+import itertools
+
+from mpmath import *
+from sympy import *
+#from sympy.printing.theanocode import theano_function
+from sympy.utilities.autowrap import ufuncify
+
+import warnings
+warnings.filterwarnings("ignore")
+if not sys.warnoptions:
+    warnings.simplefilter("ignore")
+
+
+
+def exponential_function(X):
+	"""
+    Benchmark exponential function f(x) = exp(-3x)
+	"""
+	return np.exp(-3 * X) 
+	
+
+def rational_function(X):
+	"""
+    Benchmark rational function f(x) = x/(x + 1)*2
+	"""
+	return X/((X+1)**2)
+
+def sinusoidal_function(X):
+	"""
+    Benchmark sinusoid function f(x) = sin(x)
+	"""
+
+	return np.sin(X) 
+
+
+def bessel_function(X):
+	"""
+    Benchmark Bessel function of the first kind f(x) = J_0(10*sqrt(X))
+	"""
+
+	return jv(0, 10*np.sqrt(X))  
diff --git a/alg/symbolic_metamodeling/pysymbolic/models/special_functions.py b/alg/symbolic_metamodeling/pysymbolic/models/special_functions.py
new file mode 100644
index 00000000..112707be
--- /dev/null
+++ b/alg/symbolic_metamodeling/pysymbolic/models/special_functions.py
@@ -0,0 +1,164 @@
+# Copyright (c) 2019, Ahmed M. Alaa
+# Licensed under the BSD 3-clause license (see LICENSE.txt)
+
+from __future__ import absolute_import, division, print_function
+
+import sys, os, time
+import numpy as np
+import pandas as pd
+import scipy as sc
+from scipy.special import digamma, gamma
+import itertools
+import copy
+
+from mpmath import *
+from sympy import *
+#from sympy.printing.theanocode import theano_function
+from sympy.utilities.autowrap import ufuncify
+
+import warnings
+warnings.filterwarnings("ignore")
+if not sys.warnoptions:
+    warnings.simplefilter("ignore")
+
+
+class MeijerG:
+    
+    """
+    The MeijerG class creates an instance of the Meijer G-functions. The the G-function was originally introduced by 
+    Cornelis Simon Meijer [1,2] as a very general class of special functions that encapsulates most of the known functional
+    forms as particular cases. (There are other general function classes such as the generalized  hypergeometric function and 
+    the  MacRobert E-function, but Meijer's G-function includes those as special cases as well [3].)   
+    
+    The MeijerG enables fast evaluation and manipulation of Meijer G-functions. It does so by building a wrapper
+    over the "meijerg" function implementation of Sympy [4].
+    
+    References:
+    -----------
+    
+    [1] CS Meijer. On the G-function. North-Holland, 1946.
+    [2] CS Meijer. Uber whittakersche bezw. besselsche funktionen und deren produkte (english translation: 
+        About whittaker and bessel functions and their products). Nieuw Archief voor Wiskunde, 18(2):10–29, 1936.
+    [3] Richard Beals and Jacek Szmigielski. Meijer G-functions: a gentle introduction. Notices of the AMS, 60(7):866–872, 2013.
+    [4] Aaron Meurer, Christopher P. Smith, Mateusz Paprocki, Ondrej Certik, Sergey B. Kirpichev, Matthew Rocklin,
+        AMiT Kumar, Sergiu Ivanov, Jason K. Moore, Sartaj Singh, Thilina Rath nayake, Sean Vig, Brian E. Granger,
+        Richard P. Muller, Francesco Bonazzi, Harsh Gupta, Shivam Vats, Fredrik Johansson, Fabian Pedregosa, 
+        Matthew J. Curry, Andy R. Terrel, Stepan, Roucka, Ashutosh Saboo, Isuru Fernando, Sumith Kulal, Robert Cimrman, 
+        and Anthony Scopatz. Sympy: symbolic computing in python. PeerJ Computer Science, 3:e103, 2017.
+    """
+    
+    def __init__(self, theta=[2, 2, 2, 1, 1], order=[0, 1, 3, 1], 
+                 evaluation_mode='numpy', approximation_order=15, **kwargs):
+        
+        """
+        :param theta: contains the poles and zeros of the Meijer G-function G(a_1,...,a_n,...,a_p; b_1,...,b_p,...,b_n| c * x),
+                      where theta = [a_1,..., a_n,..., a_p, b_1,..., b_p,..., b_n, c].
+        :param order: The indexes m, n, p, q, respectively.
+        :param evaluation_mode: The method used to evaluate the Meijer G function for a vector X. For direct symbolic evaluation 
+                                using Sympy's evalf() use evaluation_mode='eval'. For fast computation using Numpy, Cython 
+                                or Theano graphs set evaluation_mode='numpy', 'cython' and 'theano', respectively.                      
+        :param approximation_order: Truncation order of the Taylor series approximation used to implement the fast computation
+                                    functions with Cython.
+        Default setting for theta=[2, 2, 2, 1, 1], order=[0, 1, 3, 1] corresponds to the identity function 
+        G(a_1,...,a_n,...,a_p; b_1,...,b_p,...,b_n| c * x) = x 
+        
+        """
+        
+        self.theta               = theta
+        self.order               = order
+        self.evaluation_mode     = evaluation_mode 
+        self.approximation_order = approximation_order
+        
+        self.set_G_parameters()
+    
+    def set_G_parameters(self):
+        
+        """
+        Sets the poles and zeros of the Meijer G-function based on the input parameters
+        """
+        a_p_ = self.theta[0 : self.order[2]]
+        b_q_ = self.theta[self.order[2] : ][ : self.order[3]]
+
+        self.a_p     = [a_p_[:self.order[1]], a_p_[self.order[1]:]]
+        self.b_q     = [b_q_[:self.order[0]], b_q_[self.order[0]:]]
+        self._const  = self.theta[-1]
+        
+    def expression(self):
+        
+        """
+        Returns a symbolic expression for the Meijer G-function encapsulated in the class.
+        """
+        x         = Symbol('x', real=True) 
+        self.expr = hyperexpand(meijerg(self.a_p, self.b_q, self._const * x))  
+    
+        return self.expr 
+    
+    def math_expr(self, x): 
+        
+        """
+        Returns a symbolic expression for the Meijer G-function that is
+        compatabile with data types used by the math library
+        """
+        a_p_ = [list(self.a_p[k]) for k in range(len(self.a_p))]
+        b_q_ = [list(self.b_q[k]) for k in range(len(self.b_q))]
+
+        return mp.meijerg(a_p_, b_q_, self._const * x)
+    
+    def approx_expression(self, midpoint=0.5):
+        
+        """
+        Returns a polynomial approximate expression for the Meijer G-function using a Taylor series approximation 
+        """
+        x                 = Symbol('x', real=True)
+        
+        self.Taylor_poly_ = taylor(self.math_expr, midpoint, self.approximation_order)
+        self.coeffp       = self.Taylor_poly_[::-1]
+        
+        self.approx_expr  = 0
+    
+        for k in range(self.approximation_order):
+        
+            self.approx_expr = self.approx_expr + self.coeffp[k] * ((x - midpoint)**(self.approximation_order - k))
+    
+        self.approx_expr = self.approx_expr + self.coeffp[-1]    
+        self.approx_expr = simplify(self.approx_expr) 
+ 
+        return self.approx_expr 
+    
+    
+    def evaluate(self, X):
+        """
+        Evaluates the Meijer G function for the input vector X
+        """
+        x     = Symbol('x', real=True) 
+        
+        if self.evaluation_mode=='eval':
+            
+            Y = np.array(list(map(lambda z: float(meijerg(self.a_p, self.b_q, self._const * z).evalf()), list(X))))
+        
+        elif self.evaluation_mode in ['numpy','cython','theano']:
+            
+            evaluators_ = {'numpy': lambdify([x], self.approx_expression(), modules=['math']),
+                           'cython': lambdify([x], self.approx_expression(), modules=['math']), #ufuncify([x], self.approx_expression()),
+                           'theano': lambdify([x], self.approx_expression(), modules=['math'])} #theano_function([x], [self.approx_expression()])}
+            
+            evaluater_  = evaluators_[self.evaluation_mode]
+            Y           = np.array([evaluater_(X[k]) for k in range(len(X))])
+            
+        return np.real(Y)
+    
+    def gradients(self, x):
+    
+        h     = .01 
+        grads = []
+    
+        for u in range(len(self.theta)):
+    
+            f_g          = copy.deepcopy(self)
+            f_g.theta[u] = self.theta[u] + h
+            f_g.set_G_parameters()
+        
+            grads.append(((np.real(f_g.evaluate(x)) - np.real(self.evaluate(x)))/h))
+        
+        return grads   
+    
diff --git a/alg/symbolic_metamodeling/pysymbolic/utilities/instancewise_metrics.py b/alg/symbolic_metamodeling/pysymbolic/utilities/instancewise_metrics.py
new file mode 100644
index 00000000..f2aa9709
--- /dev/null
+++ b/alg/symbolic_metamodeling/pysymbolic/utilities/instancewise_metrics.py
@@ -0,0 +1,62 @@
+
+"""
+This script contains functions for generating synthetic data. 
+The code is based on https://github.com/Jianbo-Lab/L2X
+
+""" 
+
+from __future__ import absolute_import, division, print_function
+
+import sys, os, time
+import numpy as np
+import pandas as pd
+import scipy as sc
+import itertools
+
+from mpmath import *
+from sympy import *
+
+from scipy.optimize import minimize
+
+import warnings
+warnings.filterwarnings("ignore")
+if not sys.warnoptions:
+    warnings.simplefilter("ignore")
+
+    
+def create_rank(scores, k): 
+    """
+    Compute rank of each feature based on weight.
+    
+    """
+    scores = abs(scores)
+    n, d = scores.shape
+    ranks = []
+    for i, score in enumerate(scores):
+        # Random permutation to avoid bias due to equal weights.
+        idx = np.random.permutation(d) 
+        permutated_weights = score[idx]  
+        permutated_rank=(-permutated_weights).argsort().argsort()+1
+        rank = permutated_rank[np.argsort(idx)]
+
+        ranks.append(rank)
+
+    return np.array(ranks)
+
+def compute_median_rank(scores, k, datatype_val = None):
+    ranks = create_rank(scores, k)
+    if datatype_val is None: 
+        median_ranks = np.median(ranks[:,:k], axis = 1)
+    else:
+        datatype_val = datatype_val[:len(scores)]
+        median_ranks1 = np.median(ranks[datatype_val == 'orange_skin',:][:,np.array([0,1,2,3,9])], 
+            axis = 1)
+        median_ranks2 = np.median(ranks[datatype_val == 'nonlinear_additive',:][:,np.array([4,5,6,7,9])], 
+            axis = 1)
+        median_ranks = np.concatenate((median_ranks1, median_ranks2), 0)
+    return median_ranks 
+
+
+
+
+
diff --git a/alg/symbolic_metamodeling/pysymbolic/utilities/performance.py b/alg/symbolic_metamodeling/pysymbolic/utilities/performance.py
new file mode 100644
index 00000000..053c9746
--- /dev/null
+++ b/alg/symbolic_metamodeling/pysymbolic/utilities/performance.py
@@ -0,0 +1,56 @@
+# Copyright (c) 2019, Ahmed M. Alaa
+# Licensed under the BSD 3-clause license (see LICENSE.txt)
+
+from __future__ import absolute_import, division, print_function
+
+import sys, os, time
+import numpy as np
+import pandas as pd
+import scipy as sc
+import itertools
+
+from mpmath import *
+from sympy import *
+
+from scipy.optimize import minimize
+
+import warnings
+warnings.filterwarnings("ignore")
+if not sys.warnoptions:
+    warnings.simplefilter("ignore")
+
+from pysymbolic.models.special_functions import MeijerG
+
+def compute_Rsquared(f_true, f_est):
+
+	R2 = 1 - (np.mean((f_true - f_est)**2)/np.mean((f_true - np.mean(f_true))**2))
+
+	return R2
+
+
+def mean_confidence_interval(data, confidence=0.95):
+    
+    a     = 1.0 * np.array(data)
+    n     = len(a)
+    m, se = np.mean(a), sc.stats.sem(a)
+    h     = se * sc.stats.t.ppf((1 + confidence) / 2., n-1)
+    
+    return m, h
+
+
+def scrambled(orig):
+    
+    dest = orig[:]
+    np.random.shuffle(dest)
+    
+    return dest
+
+
+def partition_(lst, n): 
+    
+    division = len(lst) / float(n) 
+    
+    return [lst[int(round(division * i)): int(round(division * (i + 1)))] for i in range(n)]
+
+
+
diff --git a/alg/symbolic_metamodeling/pysymbolic/utilities/visualiation.py b/alg/symbolic_metamodeling/pysymbolic/utilities/visualiation.py
new file mode 100644
index 00000000..dcc74898
--- /dev/null
+++ b/alg/symbolic_metamodeling/pysymbolic/utilities/visualiation.py
@@ -0,0 +1,32 @@
+# Copyright (c) 2019, Ahmed M. Alaa
+# Licensed under the BSD 3-clause license (see LICENSE.txt)
+
+from __future__ import absolute_import, division, print_function
+
+import sys, os, time
+import numpy as np
+import pandas as pd
+import scipy as sc
+import itertools
+
+from mpmath import *
+from sympy import *
+
+from scipy.optimize import minimize
+
+import warnings
+warnings.filterwarnings("ignore")
+if not sys.warnoptions:
+    warnings.simplefilter("ignore")
+
+from pysymbolic.models.special_functions import MeijerG
+
+def visualize_univariate(xrange, f, label_, color_):
+
+	x        = Symbol('x')
+
+	X        = np.linspace(xrange[0], xrange[1], 1000)
+	Y_values = np.array([sympify(str(f)).subs(x,X[k]) for k in range(len(X))]).reshape((-1,1))
+
+	plt.plot(X, Y_values, color=color_, label=label_)
+	plt.legend()
diff --git a/alg/test_alg.py b/alg/test_alg.py
new file mode 100644
index 00000000..04f27474
--- /dev/null
+++ b/alg/test_alg.py
@@ -0,0 +1,139 @@
+'''
+Test script that executes all unit tests and notebooks under this directory
+'''
+import sys
+import os
+import argparse
+from pathlib import Path
+import time
+import re
+import json
+
+
+def init_sys_path():
+    import os
+    import sys
+    proj_dir = os.path.abspath(
+        os.path.join(
+            os.path.dirname(os.path.realpath(__file__)),
+            os.pardir))
+    sys.path.append(os.path.join(proj_dir, 'init'))
+    import initpath
+    initpath.platform_init_path(proj_dir)
+
+
+init_sys_path()
+import utilmlab    
+
+
+def init_arg():
+    parser = argparse.ArgumentParser()
+    parser.add_argument('--exe', help='python interpreter to use')
+    parser.add_argument('--projdir')
+    parser.add_argument('--it', type=int)
+    parser.add_argument('--testdir', help='directory to search for unit tests (test_*, *.ipynb)')
+    parser.add_argument('--onlynotebook', type=int, default=0)
+    parser.add_argument('-o')
+    return parser.parse_args()
+
+
+if __name__ == '__main__':
+
+    args = init_arg()
+
+    odir = args.o
+    
+    is_only_notebook = args.onlynotebook
+
+    if args.exe is not None:
+        python_exe = args.exe
+    else:
+        python_exe = 'python' if sys.version_info[0] < 3 else 'python3'
+
+    proj_dir = utilmlab.get_proj_dir() \
+        if args.projdir is None else args.projdir
+
+    test_dir = '{}/alg'.format(proj_dir) if args.testdir is None else args.testdir
+
+    logger = utilmlab.init_logger(
+            '.',
+            'log_test_alg_{}.txt'.format(utilmlab.get_hostname()))
+
+    if not is_only_notebook:
+
+        # execute all unit tests
+
+        f_lst = utilmlab.find_file_dir(
+            test_dir,
+            'test_*.py')
+
+        logger.info('Unit tests found:{}'.format(f_lst))
+
+        for fpy in f_lst:
+            if 'test_alg.py' in fpy:
+                continue
+            time_start = time.time()
+            utilmlab.exe_cmd(
+                logger,
+                '{} {} {} {}'.format(
+                    python_exe,
+                    Path(fpy),
+                    '--it {}'.format(args.it) if args.it is not None else '',
+                    '--exe {}'.format(args.exe) if args.exe is not None else ''
+                )
+            )
+            logger.info('time={}'.format(time.time() - time_start))
+
+    # execute all notebooks
+
+    f_lst = utilmlab.find_file_dir(
+        test_dir,
+        '*.ipynb')
+
+    logger.info('notebooks found:{}'.format(f_lst))
+
+    cwd = os.getcwd()
+
+    fn_html_lst = []
+    for fnb in f_lst:
+
+        script = Path(fnb)
+
+        fn_html = re.sub(
+            '.ipynb$',
+            '.html',
+            str(script))
+
+        fn_html_lst.append(fn_html)
+        
+        time_start = time.time()
+
+        # utilmlab.exe_cmd(
+        #     logger,
+        #     'jupyter nbconvert {} --to python'.format(fnb))
+
+        
+        # fpy = fnb.replace('.ipynb', '.py')
+        # os.chdir(os.path.dirname(fpy))
+        # utilmlab.exe_cmd(
+        #     logger,
+        #     '{} {} '.format(
+        #         'ipython3',
+        #         fpy))
+        # os.chdir(cwd)
+
+        utilmlab.exe_cmd(
+            logger,
+            'jupyter nbconvert --ExecutePreprocessor.timeout=-1 '
+            '--to=html --execute {}'.format(fnb))
+
+        logger.info('time={}'.format(time.time() - time_start))
+    result_d = {
+        'html': fn_html_lst
+    }
+    for fn in fn_html_lst:
+        logger.info('html: {}'.format(fn))
+    logger.info('-*-')
+    if odir is not None:
+        with open('{}/result.json'.format(odir), 'w') as fp:
+            json.dump(result_d, fp)
diff --git a/alg/timegan/data/GOOGLE_BIG.csv b/alg/timegan/data/GOOGLE_BIG.csv
new file mode 100644
index 00000000..301f6a97
--- /dev/null
+++ b/alg/timegan/data/GOOGLE_BIG.csv
@@ -0,0 +1,3686 @@
+Open,High,Low,Close,Adj_Close,Volume
+49.676899,51.693783,47.669952,49.845802,49.845802,44994500
+50.178635,54.187561,49.925285,53.80505,53.80505,23005800
+55.017166,56.373344,54.172661,54.346527,54.346527,18393200
+55.260582,55.439419,51.450363,52.096165,52.096165,15361800
+52.140873,53.651051,51.604362,52.657513,52.657513,9257400
+52.135906,53.626213,51.991844,53.606342,53.606342,7148200
+53.700729,53.959049,52.503513,52.732029,52.732029,6258300
+52.299839,52.40416,50.675404,50.675404,50.675404,5235700
+50.819469,51.519913,50.74992,50.85424,50.85424,4954800
+51.018177,51.152302,49.512966,49.80109,49.80109,9206800
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+50.14883,50.541279,49.339096,49.681866,49.681866,5191000
+50.178635,50.670437,49.483158,50.461796,50.461796,5891300
+50.04451,51.18211,49.925285,50.819469,50.819469,5023000
+50.933723,51.023144,50.173668,50.824436,50.824436,4092100
+50.471729,52.935703,50.322701,52.324677,52.324677,8764200
+52.970478,53.854729,52.886028,53.402668,53.402668,7902900
+53.377831,55.638126,53.049961,55.384777,55.384777,10910200
+54.922779,56.745922,54.743942,55.638126,55.638126,10793500
+55.80703,57.525848,55.46426,56.616764,56.616764,9335800
+56.840309,58.365391,56.408119,58.365391,58.365391,9543500
+58.097134,60.407108,58.007717,59.294346,59.294346,10708500
+59.517895,59.820923,58.375324,58.539257,58.539257,7282900
+58.320679,59.448345,58.027588,58.807514,58.807514,7638000
+59.036026,60.918781,58.131908,60.01963,60.01963,8599600
+60.079243,61.649033,59.493053,59.527828,59.527828,9191900
+59.3937,60.049435,58.519386,58.747902,58.747902,7119100
+60.25808,63.288372,59.716602,63.020115,63.020115,17056100
+62.940632,67.073753,62.70715,65.116478,65.116478,30745600
+64.530296,65.722542,64.083199,64.381264,64.381264,13861300
+64.977386,66.686272,64.033524,65.861633,65.861633,15238400
+67.188004,67.992775,66.581947,67.09362,67.09362,13120500
+66.894913,68.817406,65.692734,68.737923,68.737923,15085500
+68.330574,68.777664,67.560585,68.097092,68.097092,13481800
+68.017609,69.488045,67.833809,68.976372,68.976372,14221000
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diff --git a/alg/timegan/data_loading.py b/alg/timegan/data_loading.py
new file mode 100644
index 00000000..128d3e91
--- /dev/null
+++ b/alg/timegan/data_loading.py
@@ -0,0 +1,100 @@
+'''
+2019 NeurIPS Submission
+Title: Time-series Generative Adversarial Networks
+Authors: Jinsung Yoon, Daniel Jarrett, Mihaela van der Schaar
+
+Last Updated Date: May 29th 2019
+Code Author: Jinsung Yoon (jsyoon0823@gmail.com)
+
+-----------------------------
+
+Data loading
+(1) Load Google dataset
+- Transform the raw data to preprocessed data
+(2) Generate Sine dataset
+
+Inputs
+(1) Google dataset
+- Raw data
+- seq_length: Sequence Length
+(2) Sine dataset
+- No: Sample Number
+- T_No: Sequence Length
+- F_No: Feature Number
+
+Outputs
+- time-series preprocessed data
+'''
+
+#%% Necessary Packages
+import numpy as np
+
+#%% Min Max Normalizer
+
+def MinMaxScaler(data):
+    numerator = data - np.min(data, 0)
+    denominator = np.max(data, 0) - np.min(data, 0)
+    return numerator / (denominator + 1e-7)
+
+#%% Load Google Data
+    
+def google_data_loading (seq_length):
+
+    # Load Google Data
+    x = np.loadtxt('data/GOOGLE_BIG.csv', delimiter = ",",skiprows = 1)
+    # Flip the data to make chronological data
+    x = x[::-1]
+    # Min-Max Normalizer
+    x = MinMaxScaler(x)
+    
+    # Build dataset
+    dataX = []
+    
+    # Cut data by sequence length
+    for i in range(0, len(x) - seq_length):
+        _x = x[i:i + seq_length]
+        dataX.append(_x)
+        
+    # Mix Data (to make it similar to i.i.d)
+    idx = np.random.permutation(len(dataX))
+    
+    outputX = []
+    for i in range(len(dataX)):
+        outputX.append(dataX[idx[i]])
+    
+    return outputX
+  
+#%% Sine Data Generation
+
+def sine_data_generation (No, T_No, F_No):
+  
+    # Initialize the output
+    dataX = list()
+
+    # Generate sine data
+    for i in range(No):
+      
+        # Initialize each time-series
+        Temp = list()
+
+        # For each feature
+        for k in range(F_No):              
+                          
+            # Randomly drawn frequence and phase
+            freq1 = np.random.uniform(0,0.1)            
+            phase1 = np.random.uniform(0,0.1)
+          
+            # Generate Sine Signal
+            Temp1 = [np.sin(freq1 * j + phase1) for j in range(T_No)] 
+            Temp.append(Temp1)
+        
+        # Align row/column
+        Temp = np.transpose(np.asarray(Temp))
+        
+        # Normalize to [0,1]
+        Temp = (Temp + 1)*0.5
+        
+        dataX.append(Temp)
+                
+    return dataX
+    
diff --git a/alg/timegan/main.py b/alg/timegan/main.py
new file mode 100644
index 00000000..eb8b4ae8
--- /dev/null
+++ b/alg/timegan/main.py
@@ -0,0 +1,116 @@
+'''
+2019 NeurIPS Submission
+Title: Time-series Generative Adversarial Networks
+Authors: Jinsung Yoon, Daniel Jarrett, Mihaela van der Schaar
+
+Last Updated Date: May 29th 2019
+Code Author: Jinsung Yoon (jsyoon0823@gmail.com)
+
+-----------------------------
+
+Main Function
+- Import Dataset
+- Generate Synthetic Dataset
+- Evaluate the performances in three ways
+(1) Visualization (t-SNE, PCA)
+(2) Discriminative Score
+(3) Predictive Score
+
+Inputs
+- Dataset
+- Network Parameters
+
+Outputs
+- time-series synthetic data
+- Performances
+(1) Visualization (t-SNE, PCA)
+(2) Discriminative Score
+(3) Predictive Score
+'''
+
+#%% Necessary Packages
+
+import numpy as np
+import sys
+
+#%% Functions
+# 1. Models
+from tgan import tgan
+
+# 2. Data Loading
+from data_loading import google_data_loading, sine_data_generation
+
+# 3. Metrics
+sys.path.append('metrics')
+from discriminative_score_metrics import discriminative_score_metrics
+from visualization_metrics import PCA_Analysis, tSNE_Analysis
+from predictive_score_metrics import predictive_score_metrics
+
+#%% Main Parameters
+# Data
+data_set = ['google','sine']
+data_name = data_set[1]
+
+# Experiments iterations
+Iteration = 2
+Sub_Iteration = 10
+
+#%% Data Loading
+seq_length = 24
+
+if data_name == 'google':
+    dataX = google_data_loading(seq_length)
+elif data_name == 'sine':
+    No = 10000
+    F_No = 5
+    dataX = sine_data_generation(No, seq_length, F_No)
+
+print(data_name + ' dataset is ready.')
+
+#%% Newtork Parameters
+parameters = dict()
+
+parameters['hidden_dim'] = len(dataX[0][0,:]) * 4
+parameters['num_layers'] = 3
+parameters['iterations'] = 50000
+parameters['batch_size'] = 128
+parameters['module_name'] = 'gru'   # Other options: 'lstm' or 'lstmLN'
+parameters['z_dim'] = len(dataX[0][0,:]) 
+
+#%% Experiments
+# Output Initialization
+Discriminative_Score = list()
+Predictive_Score = list()
+
+# Each Iteration
+for it in range(Iteration):
+
+    # Synthetic Data Generation
+    dataX_hat = tgan(dataX, parameters)   
+      
+    print('Finish Synthetic Data Generation')
+
+    #%% Performance Metrics
+    
+    # 1. Discriminative Score
+    Acc = list()
+    for tt in range(Sub_Iteration):
+        Temp_Disc = discriminative_score_metrics (dataX, dataX_hat)
+        Acc.append(Temp_Disc)
+    
+    Discriminative_Score.append(np.mean(Acc))
+    
+    # 2. Predictive Performance
+    MAE_All = list()
+    for tt in range(Sub_Iteration):
+        MAE_All.append(predictive_score_metrics (dataX, dataX_hat))
+        
+    Predictive_Score.append(np.mean(MAE_All))        
+        
+#%% 3. Visualization
+PCA_Analysis (dataX, dataX_hat)
+tSNE_Analysis (dataX, dataX_hat)
+
+# Print Results
+print('Discriminative Score - Mean: ' + str(np.round(np.mean(Discriminative_Score),4)) + ', Std: ' + str(np.round(np.std(Discriminative_Score),4)))
+print('Predictive Score - Mean: ' + str(np.round(np.mean(Predictive_Score),4)) + ', Std: ' + str(np.round(np.std(Predictive_Score),4)))
diff --git a/alg/timegan/metrics/discriminative_score_metrics.py b/alg/timegan/metrics/discriminative_score_metrics.py
new file mode 100644
index 00000000..ffe9490b
--- /dev/null
+++ b/alg/timegan/metrics/discriminative_score_metrics.py
@@ -0,0 +1,162 @@
+'''
+2019 NeurIPS Submission
+Title: Time-series Generative Adversarial Networks
+Authors: Jinsung Yoon, Daniel Jarrett, Mihaela van der Schaar
+
+Last Updated Date: May 29th 2019
+Code Author: Jinsung Yoon (jsyoon0823@gmail.com)
+
+-----------------------------
+
+Discriminative_Score_Metrics
+- Use Post-hoc RNN to classify Original data and Synthetic data
+
+Inputs
+- dataX: Original data
+- dataX_hat: Synthetic ata
+
+Outputs
+- Discriminative Score (np.abs(Classification Accuracy - 0.5))
+
+'''
+
+#%% Necessary Packages
+import tensorflow as tf
+import numpy as np
+from sklearn.metrics import accuracy_score
+
+#%% Post-hoc RNN Classifier 
+
+def discriminative_score_metrics (dataX, dataX_hat):
+  
+    # Initialization on the Graph
+    tf.reset_default_graph()
+
+    # Basic Parameters
+    No = len(dataX)
+    data_dim = len(dataX[0][0,:])
+    
+    # Compute Maximum seq length and each seq length
+    dataT = list()
+    Max_Seq_Len = 0
+    for i in range(No):
+        Max_Seq_Len = max(Max_Seq_Len, len(dataX[i][:,0]))
+        dataT.append(len(dataX[i][:,0]))
+     
+    # Network Parameters
+    hidden_dim = max(int(data_dim/2),1)
+    iterations = 2000
+    batch_size = 128
+    
+    #%% input place holders
+    # Features
+    X = tf.placeholder(tf.float32, [None, Max_Seq_Len, data_dim], name = "myinput_x")
+    X_hat = tf.placeholder(tf.float32, [None, Max_Seq_Len, data_dim], name = "myinput_x_hat")
+    
+    # Times
+    T = tf.placeholder(tf.int32, [None], name = "myinput_t")
+    T_hat = tf.placeholder(tf.int32, [None], name = "myinput_t_hat")
+    
+    #%% builde a RNN classification network 
+    
+    def discriminator (X, T):
+      
+        with tf.variable_scope("discriminator", reuse = tf.AUTO_REUSE) as vs:
+            
+            d_cell = tf.nn.rnn_cell.GRUCell(num_units=hidden_dim, activation=tf.nn.tanh, name = 'cd_cell')
+                    
+            d_outputs, d_last_states = tf.nn.dynamic_rnn(d_cell, X, dtype=tf.float32, sequence_length = T)
+                
+            # Logits
+            Y_hat = tf.contrib.layers.fully_connected(d_last_states, 1, activation_fn=None) 
+            
+            # Sigmoid output
+            Y_hat_Final = tf.nn.sigmoid(Y_hat)
+            
+            # Variables
+            d_vars = [v for v in tf.all_variables() if v.name.startswith(vs.name)]
+    
+        return Y_hat, Y_hat_Final, d_vars
+    
+    #%% Train / Test Division
+    def train_test_divide (dataX, dataX_hat, dataT):
+      
+        # Divide train/test index
+        No = len(dataX)
+        idx = np.random.permutation(No)
+        train_idx = idx[:int(No*0.8)]
+        test_idx = idx[int(No*0.8):]
+        
+        # Train and Test X
+        trainX = [dataX[i] for i in train_idx]
+        trainX_hat = [dataX_hat[i] for i in train_idx]
+        
+        testX = [dataX[i] for i in test_idx]
+        testX_hat = [dataX_hat[i] for i in test_idx]
+        
+        # Train and Test T
+        trainT = [dataT[i] for i in train_idx]
+        testT = [dataT[i] for i in test_idx]
+      
+        return trainX, trainX_hat, testX, testX_hat, trainT, testT
+    
+    #%% Functions
+    # Variables
+    Y_real, Y_pred_real, d_vars = discriminator(X, T)
+    Y_fake, Y_pred_fake, _ = discriminator(X_hat, T_hat)
+        
+    # Loss for the discriminator
+    D_loss_real = tf.reduce_mean(tf.nn.sigmoid_cross_entropy_with_logits(logits = Y_real, labels = tf.ones_like(Y_real)))
+    D_loss_fake = tf.reduce_mean(tf.nn.sigmoid_cross_entropy_with_logits(logits = Y_fake, labels = tf.zeros_like(Y_fake)))
+    D_loss = D_loss_real + D_loss_fake
+    
+    # optimizer
+    D_solver = tf.train.AdamOptimizer().minimize(D_loss, var_list = d_vars)
+        
+    #%% Sessions    
+
+    # Start session and initialize
+    sess = tf.Session()
+    sess.run(tf.global_variables_initializer())
+    
+    # Train / Test Division
+    trainX, trainX_hat, testX, testX_hat, trainT, testT = train_test_divide (dataX, dataX_hat, dataT)
+    
+    # Training step
+    for itt in range(iterations):
+          
+        # Batch setting
+        idx = np.random.permutation(len(trainX))
+        train_idx = idx[:batch_size]     
+            
+        X_mb = list(trainX[i] for i in train_idx)
+        T_mb = list(trainT[i] for i in train_idx)
+        
+        # Batch setting
+        idx = np.random.permutation(len(trainX_hat))
+        train_idx = idx[:batch_size]     
+            
+        X_hat_mb = list(trainX_hat[i] for i in train_idx)
+        T_hat_mb = list(trainT[i] for i in train_idx)
+          
+        # Train discriminator
+        _, step_d_loss = sess.run([D_solver, D_loss], feed_dict={X: X_mb, T: T_mb, X_hat: X_hat_mb, T_hat: T_hat_mb})            
+        
+        #%% Checkpoints
+#        if itt % 500 == 0:
+#            print("[step: {}] loss - d loss: {}".format(itt, np.round(step_d_loss,4)))
+    
+    #%% Final Outputs (ontTesting set)
+    
+    Y_pred_real_curr, Y_pred_fake_curr = sess.run([Y_pred_real, Y_pred_fake], feed_dict={X: testX, T: testT, X_hat: testX_hat, T_hat: testT})
+    
+    Y_pred_final = np.squeeze(np.concatenate((Y_pred_real_curr, Y_pred_fake_curr), axis = 0))
+    Y_label_final = np.concatenate((np.ones([len(Y_pred_real_curr),]), np.zeros([len(Y_pred_real_curr),])), axis = 0)
+    
+    #%% Accuracy
+    Acc = accuracy_score(Y_label_final, Y_pred_final>0.5)
+    
+    Disc_Score = np.abs(0.5-Acc)
+    
+    return Disc_Score
+    
\ No newline at end of file
diff --git a/alg/timegan/metrics/predictive_score_metrics.py b/alg/timegan/metrics/predictive_score_metrics.py
new file mode 100644
index 00000000..dc20603d
--- /dev/null
+++ b/alg/timegan/metrics/predictive_score_metrics.py
@@ -0,0 +1,129 @@
+'''
+2019 NeurIPS Submission
+Title: Time-series Generative Adversarial Networks
+Authors: Jinsung Yoon, Daniel Jarrett, Mihaela van der Schaar
+
+Last Updated Date: May 29th 2019
+Code Author: Jinsung Yoon (jsyoon0823@gmail.com)
+
+-----------------------------
+
+Predictive_Score_Metrics
+- Use Post-hoc RNN to predict one-step ahead (last feature)
+
+Inputs
+- dataX: Original data
+- dataX_hat: Synthetic ata
+
+Outputs
+- Predictive Score (MAE of one-step ahead prediction)
+'''
+
+#%% Necessary Packages
+import tensorflow as tf
+import numpy as np
+from sklearn.metrics import mean_absolute_error
+
+#%% Post-hoc RNN one-step ahead predictor
+
+def predictive_score_metrics (dataX, dataX_hat):
+  
+    # Initialization on the Graph
+    tf.reset_default_graph()
+
+    # Basic Parameters
+    No = len(dataX)
+    data_dim = len(dataX[0][0,:])
+    
+    # Maximum seq length and each seq length
+    dataT = list()
+    Max_Seq_Len = 0
+    for i in range(No):
+        Max_Seq_Len = max(Max_Seq_Len, len(dataX[i][:,0]))
+        dataT.append(len(dataX[i][:,0]))
+     
+    # Network Parameters
+    hidden_dim = max(int(data_dim/2),1)
+    iterations = 5000
+    batch_size = 128
+    
+    #%% input place holders
+    
+    X = tf.placeholder(tf.float32, [None, Max_Seq_Len-1, data_dim-1], name = "myinput_x")
+    T = tf.placeholder(tf.int32, [None], name = "myinput_t")    
+    Y = tf.placeholder(tf.float32, [None, Max_Seq_Len-1, 1], name = "myinput_y")
+    
+    #%% builde a RNN discriminator network 
+    
+    def predictor (X, T):
+      
+        with tf.variable_scope("predictor", reuse = tf.AUTO_REUSE) as vs:
+            
+            d_cell = tf.nn.rnn_cell.GRUCell(num_units=hidden_dim, activation=tf.nn.tanh, name = 'd_cell')
+                    
+            d_outputs, d_last_states = tf.nn.dynamic_rnn(d_cell, X, dtype=tf.float32, sequence_length = T)
+                
+            Y_hat = tf.contrib.layers.fully_connected(d_outputs, 1, activation_fn=None) 
+            
+            Y_hat_Final = tf.nn.sigmoid(Y_hat)
+            
+            d_vars = [v for v in tf.all_variables() if v.name.startswith(vs.name)]
+    
+        return Y_hat_Final, d_vars
+    
+    #%% Functions
+    # Variables
+    Y_pred, d_vars = predictor(X, T)
+        
+    # Loss for the predictor
+    D_loss = tf.losses.absolute_difference(Y, Y_pred)
+    
+    # optimizer
+    D_solver = tf.train.AdamOptimizer().minimize(D_loss, var_list = d_vars)
+        
+    #%% Sessions    
+
+    # Session start
+    sess = tf.Session()
+    sess.run(tf.global_variables_initializer())
+    
+    # Training using Synthetic dataset
+    for itt in range(iterations):
+          
+        # Batch setting
+        idx = np.random.permutation(len(dataX_hat))
+        train_idx = idx[:batch_size]     
+            
+        X_mb = list(dataX_hat[i][:-1,:(data_dim-1)] for i in train_idx)
+        T_mb = list(dataT[i]-1 for i in train_idx)
+        Y_mb = list(np.reshape(dataX_hat[i][1:,(data_dim-1)],[len(dataX_hat[i][1:,(data_dim-1)]),1]) for i in train_idx)        
+          
+        # Train discriminator
+        _, step_d_loss = sess.run([D_solver, D_loss], feed_dict={X: X_mb, T: T_mb, Y: Y_mb})            
+        
+        #%% Checkpoints
+#        if itt % 500 == 0:
+#            print("[step: {}] loss - d loss: {}".format(itt, np.sqrt(np.round(step_d_loss,4))))
+    
+    #%% Use Original Dataset to test
+    
+    # Make Batch with Original Data
+    idx = np.random.permutation(len(dataX_hat))
+    train_idx = idx[:No]     
+    
+    X_mb = list(dataX[i][:-1,:(data_dim-1)] for i in train_idx)
+    T_mb = list(dataT[i]-1 for i in train_idx)
+    Y_mb = list(np.reshape(dataX[i][1:,(data_dim-1)], [len(dataX[i][1:,(data_dim-1)]),1]) for i in train_idx)
+    
+    # Predict Fugure
+    pred_Y_curr = sess.run(Y_pred, feed_dict={X: X_mb, T: T_mb})
+    
+    # Compute MAE
+    MAE_Temp = 0
+    for i in range(No):
+        MAE_Temp = MAE_Temp + mean_absolute_error(Y_mb[i], pred_Y_curr[i,:,:])
+    
+    MAE = MAE_Temp / No
+    
+    return MAE
+    
\ No newline at end of file
diff --git a/alg/timegan/metrics/visualization_metrics.py b/alg/timegan/metrics/visualization_metrics.py
new file mode 100644
index 00000000..467c401b
--- /dev/null
+++ b/alg/timegan/metrics/visualization_metrics.py
@@ -0,0 +1,108 @@
+'''
+2019 NeurIPS Submission
+Title: Time-series Generative Adversarial Networks
+Authors: Jinsung Yoon, Daniel Jarrett, Mihaela van der Schaar
+
+Last Updated Date: May 29th 2019
+Code Author: Jinsung Yoon (jsyoon0823@gmail.com)
+
+-----------------------------
+
+PCA and TSNE analysis between Original data and Synthetic data
+Inputs: 
+  - dataX: original data
+  - dataX_hat: synthetic data
+  
+Outputs:
+  - PCA Analysis Results
+  - t-SNE Analysis Results
+
+'''
+#%% Necessary Packages
+
+from sklearn.manifold import TSNE
+from sklearn.decomposition import PCA
+import matplotlib.pyplot as plt
+import numpy as np
+
+#%% PCA Analysis
+    
+def PCA_Analysis (dataX, dataX_hat):
+  
+    # Analysis Data Size
+    Sample_No = 1000
+    
+    # Data Preprocessing
+    for i in range(Sample_No):
+        if (i == 0):
+            arrayX = np.reshape(np.mean(np.asarray(dataX[0]),1), [1,len(dataX[0][:,0])])
+            arrayX_hat = np.reshape(np.mean(np.asarray(dataX_hat[0]),1), [1,len(dataX[0][:,0])])
+        else:
+            arrayX = np.concatenate((arrayX, np.reshape(np.mean(np.asarray(dataX[i]),1), [1,len(dataX[0][:,0])])))
+            arrayX_hat = np.concatenate((arrayX_hat, np.reshape(np.mean(np.asarray(dataX_hat[i]),1), [1,len(dataX[0][:,0])])))
+    
+    # Parameters        
+    No = len(arrayX[:,0])
+    colors = ["red" for i in range(No)] +  ["blue" for i in range(No)]    
+    
+    # PCA Analysis
+    pca = PCA(n_components = 2)
+    pca.fit(arrayX)
+    pca_results = pca.transform(arrayX)
+    pca_hat_results = pca.transform(arrayX_hat)
+        
+    # Plotting
+    f, ax = plt.subplots(1)
+    
+    plt.scatter(pca_results[:,0], pca_results[:,1], c = colors[:No], alpha = 0.2, label = "Original")
+    plt.scatter(pca_hat_results[:,0], pca_hat_results[:,1], c = colors[No:], alpha = 0.2, label = "Synthetic")
+
+    ax.legend()
+    
+    plt.title('PCA plot')
+    plt.xlabel('x-pca')
+    plt.ylabel('y_pca')
+    plt.show()
+    
+    
+#%% TSNE Analysis
+    
+def tSNE_Analysis (dataX, dataX_hat):
+  
+    # Analysis Data Size
+    Sample_No = 1000
+  
+    # Preprocess
+    for i in range(Sample_No):
+        if (i == 0):
+            arrayX = np.reshape(np.mean(np.asarray(dataX[0]),1), [1,len(dataX[0][:,0])])
+            arrayX_hat = np.reshape(np.mean(np.asarray(dataX_hat[0]),1), [1,len(dataX[0][:,0])])
+        else:
+            arrayX = np.concatenate((arrayX, np.reshape(np.mean(np.asarray(dataX[i]),1), [1,len(dataX[0][:,0])])))
+            arrayX_hat = np.concatenate((arrayX_hat, np.reshape(np.mean(np.asarray(dataX_hat[i]),1), [1,len(dataX[0][:,0])])))
+     
+    # Do t-SNE Analysis together       
+    final_arrayX = np.concatenate((arrayX, arrayX_hat), axis = 0)
+    
+    # Parameters
+    No = len(arrayX[:,0])
+    colors = ["red" for i in range(No)] +  ["blue" for i in range(No)]    
+    
+    # TSNE anlaysis
+    tsne = TSNE(n_components = 2, verbose = 1, perplexity = 40, n_iter = 300)
+    tsne_results = tsne.fit_transform(final_arrayX)
+    
+    # Plotting
+    f, ax = plt.subplots(1)
+    
+    plt.scatter(tsne_results[:No,0], tsne_results[:No,1], c = colors[:No], alpha = 0.2, label = "Original")
+    plt.scatter(tsne_results[No:,0], tsne_results[No:,1], c = colors[No:], alpha = 0.2, label = "Synthetic")
+
+    ax.legend()
+    
+    plt.title('t-SNE plot')
+    plt.xlabel('x-tsne')
+    plt.ylabel('y_tsne')
+    plt.show()
+    
+    
\ No newline at end of file
diff --git a/alg/timegan/readme.txt b/alg/timegan/readme.txt
new file mode 100644
index 00000000..b9c5363d
--- /dev/null
+++ b/alg/timegan/readme.txt
@@ -0,0 +1,40 @@
+2019 NeurIPS Submission
+Title: Time-series Generative Adversarial Networks
+Authors: Jinsung Yoon, Daniel Jarrett, Mihaela van der Schaar
+
+Last Updated Date: May 29th 2019
+Code Author: Jinsung Yoon (jsyoon0823@gmail.com)
+
+1. Datasets (in Data Folder)
+(1) Google dataset
+- GOOGLE_BIG.csv
+(2) Sine dataset
+- Generated from data_loading.py 
+
+2. Codes
+(1) data_loading.py
+- Transform raw time-series data to preprocessed time-series data (Googld data)
+- Generate Sine data
+
+(2) Metrics Folder
+  (a) visualization_metrics.py
+  - PCA and t-SNE analysis between Original data and Synthetic data
+  (b) discriminative_score_metrics.py
+  - Use Post-hoc RNN to classify Original data and Synthetic data
+  (c) predictive_score_metrics.py
+  - Use Post-hoc RNN to predict one-step ahead (last feature)
+
+(2) tgan.py
+- Use original time-series data as training set to generater synthetic time-series data
+
+(3) main.py
+- Replicate the performances of Table 2 and Figure 3 in the paper
+- Report discriminative and predictive scores for each dataset and t-SNE and PCA analysis
+
+3. How to use?
+(1) In order to replicate the results in the paper
+- Run main.py (with selecting the dataset)
+
+(2) In order to achieve time-series synthetic dataset (Main objective of the paper)
+- Run tgan.py
+- Input original time-series data to achieve corresponding synthetic time-series data
\ No newline at end of file
diff --git a/alg/timegan/requirements.txt b/alg/timegan/requirements.txt
new file mode 100644
index 00000000..fc5b9fb5
--- /dev/null
+++ b/alg/timegan/requirements.txt
@@ -0,0 +1,2 @@
+tensorflow<=1.10.0
+numpy>=1.15.3
diff --git a/alg/timegan/tgan.py b/alg/timegan/tgan.py
new file mode 100644
index 00000000..a5aa1f23
--- /dev/null
+++ b/alg/timegan/tgan.py
@@ -0,0 +1,371 @@
+'''
+2019 NeurIPS Submission
+Title: Time-series Generative Adversarial Networks
+Authors: Jinsung Yoon, Daniel Jarrett, Mihaela van der Schaar
+
+Last Updated Date: May 29th 2019
+Code Author: Jinsung Yoon (jsyoon0823@gmail.com)
+
+-----------------------------
+
+TGAN Function
+- Use original data as training set to generater synthetic data (time-series)
+
+Inputs
+- Dataset
+- Network Parameters
+
+Outputs
+- time-series synthetic data
+'''
+
+#%% Necessary Packages
+import tensorflow as tf
+import numpy as np
+
+#%% Min Max Normalizer
+
+def MinMaxScaler(dataX):
+    
+    min_val = np.min(np.min(dataX, axis = 0), axis = 0)
+    dataX = dataX - min_val
+    
+    max_val = np.max(np.max(dataX, axis = 0), axis = 0)
+    dataX = dataX / (max_val + 1e-7)
+    
+    return dataX, min_val, max_val
+
+#%% Start TGAN function (Input: Original data, Output: Synthetic Data)
+
+def tgan (dataX, parameters):
+  
+    # Initialization on the Graph
+    tf.reset_default_graph()
+
+    # Basic Parameters
+    No = len(dataX)
+    data_dim = len(dataX[0][0,:])
+    
+    # Maximum seq length and each seq length
+    dataT = list()
+    Max_Seq_Len = 0
+    for i in range(No):
+        Max_Seq_Len = max(Max_Seq_Len, len(dataX[i][:,0]))
+        dataT.append(len(dataX[i][:,0]))
+        
+    # Normalization
+    if ((np.max(dataX) > 1) | (np.min(dataX) < 0)):
+        dataX, min_val, max_val = MinMaxScaler(dataX)
+        Normalization_Flag = 1
+    else:
+        Normalization_Flag = 0
+     
+    # Network Parameters
+    hidden_dim   = parameters['hidden_dim'] 
+    num_layers   = parameters['num_layers']
+    iterations   = parameters['iterations']
+    batch_size   = parameters['batch_size']
+    module_name  = parameters['module_name']    # 'lstm' or 'lstmLN'
+    z_dim        = parameters['z_dim']
+    gamma        = 1
+    
+    #%% input place holders
+    
+    X = tf.placeholder(tf.float32, [None, Max_Seq_Len, data_dim], name = "myinput_x")
+    Z = tf.placeholder(tf.float32, [None, Max_Seq_Len, z_dim], name = "myinput_z")
+    T = tf.placeholder(tf.int32, [None], name = "myinput_t")
+    
+    #%% Basic RNN Cell
+          
+    def rnn_cell(module_name):
+      # GRU
+        if (module_name == 'gru'):
+            rnn_cell = tf.nn.rnn_cell.GRUCell(num_units=hidden_dim, activation=tf.nn.tanh)
+      # LSTM
+        elif (module_name == 'lstm'):
+            rnn_cell = tf.contrib.rnn.BasicLSTMCell(num_units=hidden_dim, activation=tf.nn.tanh)
+      # LSTM Layer Normalization
+        elif (module_name == 'lstmLN'):
+            rnn_cell = tf.contrib.rnn.LayerNormBasicLSTMCell(num_units=hidden_dim, activation=tf.nn.tanh)
+        return rnn_cell
+      
+        
+    #%% build a RNN embedding network      
+    
+    def embedder (X, T):      
+      
+        with tf.variable_scope("embedder", reuse = tf.AUTO_REUSE):
+            
+            e_cell = tf.nn.rnn_cell.MultiRNNCell([rnn_cell(module_name) for _ in range(num_layers)])
+                
+            e_outputs, e_last_states = tf.nn.dynamic_rnn(e_cell, X, dtype=tf.float32, sequence_length = T)
+            
+            H = tf.contrib.layers.fully_connected(e_outputs, hidden_dim, activation_fn=tf.nn.sigmoid)     
+
+        return H
+      
+    ##### Recovery
+    
+    def recovery (H, T):      
+      
+        with tf.variable_scope("recovery", reuse = tf.AUTO_REUSE):       
+              
+            r_cell = tf.nn.rnn_cell.MultiRNNCell([rnn_cell(module_name) for _ in range(num_layers)])
+                
+            r_outputs, r_last_states = tf.nn.dynamic_rnn(r_cell, H, dtype=tf.float32, sequence_length = T)
+            
+            X_tilde = tf.contrib.layers.fully_connected(r_outputs, data_dim, activation_fn=tf.nn.sigmoid) 
+
+        return X_tilde
+    
+    
+    
+    #%% build a RNN generator network
+    
+    def generator (Z, T):      
+      
+        with tf.variable_scope("generator", reuse = tf.AUTO_REUSE):
+            
+            e_cell = tf.nn.rnn_cell.MultiRNNCell([rnn_cell(module_name) for _ in range(num_layers)])
+                
+            e_outputs, e_last_states = tf.nn.dynamic_rnn(e_cell, Z, dtype=tf.float32, sequence_length = T)
+            
+            E = tf.contrib.layers.fully_connected(e_outputs, hidden_dim, activation_fn=tf.nn.sigmoid)     
+
+        return E
+      
+    def supervisor (H, T):      
+      
+        with tf.variable_scope("supervisor", reuse = tf.AUTO_REUSE):
+            
+            e_cell = tf.nn.rnn_cell.MultiRNNCell([rnn_cell(module_name) for _ in range(num_layers-1)])
+                
+            e_outputs, e_last_states = tf.nn.dynamic_rnn(e_cell, H, dtype=tf.float32, sequence_length = T)
+            
+            S = tf.contrib.layers.fully_connected(e_outputs, hidden_dim, activation_fn=tf.nn.sigmoid)     
+
+        return S
+      
+      
+      
+    #%% builde a RNN discriminator network 
+    
+    def discriminator (H, T):
+      
+        with tf.variable_scope("discriminator", reuse = tf.AUTO_REUSE):
+            
+            d_cell = tf.nn.rnn_cell.MultiRNNCell([rnn_cell(module_name) for _ in range(num_layers)])
+                
+            d_outputs, d_last_states = tf.nn.dynamic_rnn(d_cell, H, dtype=tf.float32, sequence_length = T)
+            
+            Y_hat = tf.contrib.layers.fully_connected(d_outputs, 1, activation_fn=None) 
+    
+        return Y_hat   
+    
+    
+    #%% Random vector generation
+    def random_generator (batch_size, z_dim, T_mb, Max_Seq_Len):
+      
+        Z_mb = list()
+        
+        for i in range(batch_size):
+            
+            Temp = np.zeros([Max_Seq_Len, z_dim])
+            
+            Temp_Z = np.random.uniform(0., 1, [T_mb[i], z_dim])
+        
+            Temp[:T_mb[i],:] = Temp_Z
+            
+            Z_mb.append(Temp_Z)
+      
+        return Z_mb
+    
+    #%% Functions
+    
+    # Embedder Networks
+    H = embedder(X, T)
+    X_tilde = recovery(H, T)
+    
+    # Generator
+    E_hat = generator(Z, T)
+    H_hat = supervisor(E_hat, T)
+    H_hat_supervise = supervisor(H, T)
+    
+    # Synthetic data
+    X_hat = recovery(H_hat, T)
+    
+    # Discriminator
+    Y_fake = discriminator(H_hat, T)
+    Y_real = discriminator(H, T)     
+    Y_fake_e = discriminator(E_hat, T)
+    
+    # Variables        
+    e_vars = [v for v in tf.trainable_variables() if v.name.startswith('embedder')]
+    r_vars = [v for v in tf.trainable_variables() if v.name.startswith('recovery')]
+    g_vars = [v for v in tf.trainable_variables() if v.name.startswith('generator')]
+    s_vars = [v for v in tf.trainable_variables() if v.name.startswith('supervisor')]
+    d_vars = [v for v in tf.trainable_variables() if v.name.startswith('discriminator')]
+    
+    # Loss for the discriminator
+    D_loss_real = tf.losses.sigmoid_cross_entropy(tf.ones_like(Y_real), Y_real)
+    D_loss_fake = tf.losses.sigmoid_cross_entropy(tf.zeros_like(Y_fake), Y_fake)
+    D_loss_fake_e = tf.losses.sigmoid_cross_entropy(tf.zeros_like(Y_fake_e), Y_fake_e)
+    D_loss = D_loss_real + D_loss_fake + gamma * D_loss_fake_e
+            
+    # Loss for the generator
+    # 1. Adversarial loss
+    G_loss_U = tf.losses.sigmoid_cross_entropy(tf.ones_like(Y_fake), Y_fake)
+    G_loss_U_e = tf.losses.sigmoid_cross_entropy(tf.ones_like(Y_fake_e), Y_fake_e)
+    
+    # 2. Supervised loss
+    G_loss_S = tf.losses.mean_squared_error(H[:,1:,:], H_hat_supervise[:,1:,:])
+    
+    # 3. Two Momments
+    G_loss_V1 = tf.reduce_mean(np.abs(tf.sqrt(tf.nn.moments(X_hat,[0])[1] + 1e-6) - tf.sqrt(tf.nn.moments(X,[0])[1] + 1e-6)))
+    G_loss_V2 = tf.reduce_mean(np.abs((tf.nn.moments(X_hat,[0])[0]) - (tf.nn.moments(X,[0])[0])))
+    
+    G_loss_V = G_loss_V1 + G_loss_V2
+    
+    # Summation
+    G_loss = G_loss_U + gamma * G_loss_U_e + 100 * tf.sqrt(G_loss_S) + 100*G_loss_V 
+            
+    # Loss for the embedder network
+    E_loss_T0 = tf.losses.mean_squared_error(X, X_tilde)
+    E_loss0 = 10*tf.sqrt(E_loss_T0)
+    E_loss = E_loss0  + 0.1*G_loss_S
+    
+    # optimizer
+    E0_solver = tf.train.AdamOptimizer().minimize(E_loss0, var_list = e_vars + r_vars)
+    E_solver = tf.train.AdamOptimizer().minimize(E_loss, var_list = e_vars + r_vars)
+    D_solver = tf.train.AdamOptimizer().minimize(D_loss, var_list = d_vars)
+    G_solver = tf.train.AdamOptimizer().minimize(G_loss, var_list = g_vars + s_vars)      
+    GS_solver = tf.train.AdamOptimizer().minimize(G_loss_S, var_list = g_vars + s_vars)   
+        
+    #%% Sessions    
+    
+    sess = tf.Session()
+    sess.run(tf.global_variables_initializer())
+    
+    #%% Embedding Learning
+    
+    print('Start Embedding Network Training')
+    
+    for itt in range(iterations):
+        
+        # Batch setting
+        idx = np.random.permutation(No)
+        train_idx = idx[:batch_size]     
+            
+        X_mb = list(dataX[i] for i in train_idx)
+        T_mb = list(dataT[i] for i in train_idx)
+            
+        # Train embedder        
+        _, step_e_loss = sess.run([E0_solver, E_loss_T0], feed_dict={X: X_mb, T: T_mb})
+        
+        if itt % 1000 == 0:
+            print('step: '+ str(itt) + ', e_loss: ' + str(np.round(np.sqrt(step_e_loss),4)) )        
+            
+    print('Finish Embedding Network Training')
+    
+    #%% Training Supervised Loss First
+    
+    print('Start Training with Supervised Loss Only')
+    
+    for itt in range(iterations):
+        
+        # Batch setting
+        idx = np.random.permutation(No)
+        train_idx = idx[:batch_size]     
+            
+        X_mb = list(dataX[i] for i in train_idx)
+        T_mb = list(dataT[i] for i in train_idx)        
+        
+        Z_mb = random_generator(batch_size, z_dim, T_mb, Max_Seq_Len)
+        
+        # Train generator       
+        _, step_g_loss_s = sess.run([GS_solver, G_loss_S], feed_dict={Z: Z_mb, X: X_mb, T: T_mb})
+                           
+        if itt % 1000 == 0:
+            print('step: '+ str(itt) + ', s_loss: ' + str(np.round(np.sqrt(step_g_loss_s),4)) )
+                
+    print('Finish Training with Supervised Loss Only')
+    
+    #%% Joint Training
+    
+    print('Start Joint Training')
+    
+    # Training step
+    for itt in range(iterations):
+      
+        # Generator Training
+        for kk in range(2):
+          
+            # Batch setting
+            idx = np.random.permutation(No)
+            train_idx = idx[:batch_size]     
+            
+            X_mb = list(dataX[i] for i in train_idx)
+            T_mb = list(dataT[i] for i in train_idx)
+            
+            # Random vector generation
+            Z_mb = random_generator(batch_size, z_dim, T_mb, Max_Seq_Len)
+              
+            # Train generator
+            _, step_g_loss_u, step_g_loss_s, step_g_loss_v = sess.run([G_solver, G_loss_U, G_loss_S, G_loss_V], feed_dict={Z: Z_mb, X: X_mb, T: T_mb})
+            
+            # Train embedder        
+            _, step_e_loss_t0 = sess.run([E_solver, E_loss_T0], feed_dict={Z: Z_mb, X: X_mb, T: T_mb})   
+           
+        #%% Discriminator Training
+        
+        # Batch setting
+        idx = np.random.permutation(No)
+        train_idx = idx[:batch_size]     
+        
+        X_mb = list(dataX[i] for i in train_idx)
+        T_mb = list(dataT[i] for i in train_idx)
+        
+        # Random vector generation
+        Z_mb = random_generator(batch_size, z_dim, T_mb, Max_Seq_Len)
+            
+        
+        check_d_loss = sess.run(D_loss, feed_dict={X: X_mb, T: T_mb, Z: Z_mb})
+        
+        # Train discriminator
+        
+        if (check_d_loss > 0.15):        
+            _, step_d_loss = sess.run([D_solver, D_loss], feed_dict={X: X_mb, T: T_mb, Z: Z_mb})
+        
+        #%% Checkpoints
+        if itt % 1000 == 0:
+            print('step: '+ str(itt) + 
+                  ', d_loss: ' + str(np.round(step_d_loss,4)) + 
+                  ', g_loss_u: ' + str(np.round(step_g_loss_u,4)) + 
+                  ', g_loss_s: ' + str(np.round(np.sqrt(step_g_loss_s),4)) + 
+                  ', g_loss_v: ' + str(np.round(step_g_loss_v,4)) + 
+                  ', e_loss_t0: ' + str(np.round(np.sqrt(step_e_loss_t0),4))  )
+   
+    
+    print('Finish Joint Training')
+    
+    #%% Final Outputs
+    
+    Z_mb = random_generator(No, z_dim, dataT, Max_Seq_Len)
+    
+    X_hat_curr = sess.run(X_hat, feed_dict={Z: Z_mb, X: dataX, T: dataT})    
+    
+    #%% List of the final outputs
+    
+    dataX_hat = list()
+    
+    for i in range(No):
+        Temp = X_hat_curr[i,:dataT[i],:]
+        dataX_hat.append(Temp)
+        
+    # Renormalization
+    if (Normalization_Flag == 1):
+        dataX_hat = dataX_hat * max_val
+        dataX_hat = dataX_hat + min_val
+    
+    return dataX_hat
+    
\ No newline at end of file
diff --git a/alg/timegan/tutorial_timegan.ipynb b/alg/timegan/tutorial_timegan.ipynb
new file mode 100644
index 00000000..944346a0
--- /dev/null
+++ b/alg/timegan/tutorial_timegan.ipynb
@@ -0,0 +1,236 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Tutorial TGAN\n",
+    "\n",
+    "## Time-series Generative Adversarial Networks"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "This tutorial shows how to use TGAN to generate synthetic time-series data. We are using Google Stock and Sine dataset as examples."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Experiment Settings (Import necessary packages and functions)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\n",
+    "import numpy as np\n",
+    "import sys\n",
+    "\n",
+    "#%% Functions\n",
+    "# 1. Models\n",
+    "from tgan import tgan\n",
+    "\n",
+    "# 2. Data Loading\n",
+    "from data_loading import google_data_loading, sine_data_generation\n",
+    "\n",
+    "# 3. Metrics\n",
+    "sys.path.append('metrics')\n",
+    "from discriminative_score_metrics import discriminative_score_metrics\n",
+    "from visualization_metrics import PCA_Analysis, tSNE_Analysis\n",
+    "from predictive_score_metrics import predictive_score_metrics\n",
+    "\n",
+    "print('Finish importing necessary packages and functions')\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Set main parameters and datasets"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#%% Main Parameters\n",
+    "# Data\n",
+    "data_set = ['google','sine']\n",
+    "data_name = data_set[0]\n",
+    "\n",
+    "# Experiments iterations\n",
+    "Iteration = 2\n",
+    "Sub_Iteration = 3\n",
+    "\n",
+    "#%% Data Loading\n",
+    "seq_length = 24\n",
+    "\n",
+    "if data_name == 'google':\n",
+    "    dataX = google_data_loading(seq_length)\n",
+    "elif data_name == 'sine':\n",
+    "    No = 10000\n",
+    "    F_No = 5\n",
+    "    dataX = sine_data_generation(No, seq_length, F_No)\n",
+    "\n",
+    "print(data_name + ' dataset is ready.')\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Set network parameters & Output initialization"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\n",
+    "#%% Newtork Parameters\n",
+    "parameters = dict()\n",
+    "\n",
+    "parameters['hidden_dim'] = len(dataX[0][0,:]) * 4\n",
+    "parameters['num_layers'] = 3\n",
+    "parameters['iterations'] = 10000\n",
+    "parameters['batch_size'] = 128\n",
+    "parameters['module_name'] = 'gru'   # Other options: 'lstm' or 'lstmLN'\n",
+    "parameters['z_dim'] = len(dataX[0][0,:]) \n",
+    "\n",
+    "print('Parameters are ' + str(parameters))\n",
+    "\n",
+    "#%% Experiments\n",
+    "# Output Initialization\n",
+    "Discriminative_Score = list()\n",
+    "Predictive_Score = list()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Run TGAN & Evaluate discriminative and predictive scores"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\n",
+    "print('Start iterations') \n",
+    "    \n",
+    "# Each Iteration\n",
+    "for it in range(Iteration):\n",
+    "\n",
+    "    \n",
+    "    # Synthetic Data Generation\n",
+    "    dataX_hat = tgan(dataX, parameters)   \n",
+    "      \n",
+    "    print('Finish Synthetic Data Generation')\n",
+    "\n",
+    "    #%% Performance Metrics\n",
+    "    \n",
+    "    # 1. Discriminative Score\n",
+    "    Acc = list()\n",
+    "    for tt in range(Sub_Iteration):\n",
+    "        Temp_Disc = discriminative_score_metrics (dataX, dataX_hat)\n",
+    "        Acc.append(Temp_Disc)\n",
+    "    \n",
+    "    Discriminative_Score.append(np.mean(Acc))\n",
+    "    \n",
+    "    # 2. Predictive Performance\n",
+    "    MAE_All = list()\n",
+    "    for tt in range(Sub_Iteration):\n",
+    "        MAE_All.append(predictive_score_metrics (dataX, dataX_hat))\n",
+    "        \n",
+    "    Predictive_Score.append(np.mean(MAE_All))    \n",
+    "    \n",
+    "print('Finish TGAN iterations')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Visualization (PCA Analysis)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "PCA_Analysis (dataX, dataX_hat)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Visualization (t-SNE Analysis)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "tSNE_Analysis (dataX, dataX_hat)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Print Discriminative and Predictive Scores"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Print Results\n",
+    "print('Discriminative Score - Mean: ' + str(np.round(np.mean(Discriminative_Score),4)) + ', Std: ' + str(np.round(np.std(Discriminative_Score),4)))\n",
+    "print('Predictive Score - Mean: ' + str(np.round(np.mean(Predictive_Score),4)) + ', Std: ' + str(np.round(np.std(Predictive_Score),4)))\n"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/cfg/install_packages.r b/cfg/install_packages.r
new file mode 100644
index 00000000..b66cc196
--- /dev/null
+++ b/cfg/install_packages.r
@@ -0,0 +1,26 @@
+load_install_packages <- function(list.of.packages) {
+    new.packages <- list.of.packages[!(list.of.packages %in% installed.packages()[,"Package"])]
+    if(length(new.packages)) install.packages(new.packages,repos="http://cran.cnr.Berkeley.edu/")
+    for (i in list.of.packages) {
+        print(sprintf("loading %s",i))
+        library(i,character.only=T)
+    }
+}
+
+package_lst <- c(
+    "coin",
+    "missForest",
+    "knockoff",
+    "glmnet",
+    "ranger",
+    "Xmisc",
+    "doMC",
+    "CoxBoost",
+    "randomForestSRC",
+    "party",
+    "softImpute",
+    "ranger",
+    'IRkernel'
+    )
+
+load_install_packages(package_lst)
diff --git a/cfg/requirements.txt b/cfg/requirements.txt
new file mode 100644
index 00000000..d1e2dcc1
--- /dev/null
+++ b/cfg/requirements.txt
@@ -0,0 +1,30 @@
+hmmlearn
+scipy # == 1.2.0
+prompt-toolkit # ==1.0.15
+pympler
+pivottablejs
+pandas # ==0.23
+seaborn
+scikit-survival
+xgboost
+IPython
+rpy2
+tzlocal
+lifelines
+gpyopt
+requests
+tqdm
+jupyter 
+ipywidgets
+numpy
+argparse
+statsmodels
+sklearn
+ipython
+sets
+termcolor
+pyro-ppl
+gplearn
+lime
+shap
+# keras
diff --git a/doc/install.md b/doc/install.md
new file mode 100644
index 00000000..e6ee7ebe
--- /dev/null
+++ b/doc/install.md
@@ -0,0 +1,63 @@
+# Installation instructions
+
+The required dependencies work with python3.6 or python3.7.
+In addition to this it depends upon R packages
+which are only available for recent versions of R. Some algorithms
+require tensorflow, ideally with GPU acceleration.
+
+
+## Anaconda (Windows, Linux, ...)
+
+Depends upon the Anaconda Distribution (https://www.anaconda.com)
+
+```
+   # if you do not have python3.6 or python 3.7 create an environment with the required version of python
+
+conda create -n python36env python=3.6  # install and create an python3.6 environment
+conda activate python36env              # use source for linux like environments, for example 'source ~/anaconda3/bin/activate python36env'
+
+   # install packages:
+   
+conda install  r-essentials r-base
+
+conda install pandas scipy pivottablejs rpy2 matplotlib tqdm requests jupyter seaborn
+pip install sklearn gpyopt xgboost sets
+
+```
+
+
+- install tensorflow (optional)
+
+```
+conda install tensorflowXXX keras
+```
+
+## Linux
+
+It is known to work and tested with Ubuntu vs 18.04, R vs 3.5.1,
+python3.6 and tensorflow (1.4.1 and higher)
+
+- install the R packages with the following steps:
+
+```
+R  # opens R
+source("cfg/install_packages.r") # run script and answer the questions, this will install the R packages.
+```
+
+
+- install the python dependencies with the following steps:
+
+```
+pip3 install -r cfg/requirements.txt
+```
+
+- install tensorflow
+
+choose your version of tensorflow (CPU/GPU) and install with:
+
+```
+
+pip3 install tensorflowXXX keras
+
+```
+
diff --git a/init/initpath.py b/init/initpath.py
new file mode 100644
index 00000000..93559c55
--- /dev/null
+++ b/init/initpath.py
@@ -0,0 +1,6 @@
+import sys
+import os
+
+
+def platform_init_path(proj_dir):
+    sys.path.append(os.path.join(proj_dir, 'util/'))
diff --git a/util/data_loader_mlab.py b/util/data_loader_mlab.py
new file mode 100644
index 00000000..b3c6e350
--- /dev/null
+++ b/util/data_loader_mlab.py
@@ -0,0 +1,237 @@
+import pandas as pd
+import utilmlab
+import sys
+from sklearn.datasets import load_breast_cancer, fetch_covtype
+import logging
+import argparse
+import os
+
+
+ds2fn_d = {
+    'bc': None,
+    'cover': None,
+    'breastcancer': None,
+    'spam': '{}/spam.csv.gz'.format(utilmlab.get_data_dir()),
+    'spambase': '{}/spambase.csv.gz'.format(utilmlab.get_data_dir()),
+    'news': '{}/OnlineNewsPopularity.csv.gz'.format(utilmlab.get_data_dir()),
+    'newsbin': '{}/OnlineNewsPopularity.csv.gz'.format(
+        utilmlab.get_data_dir()),
+    'letter': '{}/letter.csv.gz'.format(utilmlab.get_data_dir()),
+    'letter-recognition': '{}/letter.csv.gz'.format(utilmlab.get_data_dir()),
+    'creditcardfraud': '{}/kaggle_creditcardfraud/creditcard_modified.csv'.format(
+        utilmlab.get_data_dir())
+}
+
+
+def is_available(ds):
+    if ds in ds2fn_d.keys():
+        return True if ds2fn_d[ds] is None else os.path.isfile(ds2fn_d[ds])
+
+
+def get_available_datasets():
+    ds_lst = list()
+    for ds in ds2fn_d.keys():
+        if is_available(ds):
+            ds_lst.append(ds)
+    return ds_lst
+
+
+def get_dataset(dataset, nsample=0):
+
+    fn = None
+    labels = []
+    features_not_scalable = []
+    features_drop = []
+    rval = 0
+    df = None
+    dataset_lst = get_available_datasets()
+
+    if dataset not in get_available_datasets() + ['show']:
+        print('error: {} not available: ({})'.format(dataset, dataset_lst))
+        sys.exit(1)
+
+    if dataset == 'spam':
+        fn = '{}/spam.csv.gz'.format(utilmlab.get_data_dir())
+    elif dataset == 'spambase':
+        fn = '{}/spambase.csv.gz'.format(utilmlab.get_data_dir())
+        labels = ['label']
+    elif dataset == 'breastcancer' or dataset == 'bc':
+        data = load_breast_cancer()  # get Breast Cancer Dataset
+        df = pd.DataFrame(data.data, columns=data.feature_names)
+        target = 'target'
+        df[target] = data.target
+        labels = [target]
+    elif dataset == 'cover':
+        data = fetch_covtype()
+        df = pd.DataFrame(data.data)
+        target = 'target'
+        df[target] = data.target
+        labels = [target]
+    elif dataset == 'news':
+        fn = '{}/OnlineNewsPopularity.csv.gz'.format(
+            utilmlab.get_data_dir())
+        labels = [' shares']
+        features_drop = ['url']
+    elif dataset == 'newsbin':
+        fn = '{}/OnlineNewsPopularity.csv.gz'.format(
+            utilmlab.get_data_dir())
+        labels = [' shares']
+        features_drop = ['url']
+        response_var = labels[0]
+        df = pd.read_csv(fn)
+        df[response_var] = [0 if el <= 5000 else 1 for el in df[response_var]]
+    elif dataset == 'letter':
+        fn = '{}/letter.csv.gz'.format(utilmlab.get_data_dir())
+    elif dataset == 'letter-recognition':
+        fn = '{}/letter-recognition.csv.gz'.format(utilmlab.get_data_dir())
+        labels = ['lettr']
+    elif dataset == 'creditcardfraud':
+        fn = ds2fn_d[dataset]
+        labels = ['Amount', 'Class']
+    elif dataset == 'show':
+        print('availabel datasets: {}'.format(dataset_lst))
+        sys.exit(0)
+    else:
+        print('warning: unsupported dataset:{}'.format(dataset))
+        rval = 1
+        return (rval, None)
+
+    if df is not None:
+        pass
+    elif fn is not None:
+        df = pd.read_csv(fn)
+    else:
+        assert 0
+
+    features = [el for el in list(df.columns)
+                if el not in labels and el not in features_drop]
+
+    if nsample:
+        df = df[:nsample]
+    return (rval, {
+        'df': df,
+        'targets': labels,
+        'features': features,
+        'features_not_scalable': features_not_scalable
+    } if not rval else None)
+
+
+def dataset_log_properties(logger, dset):
+
+    labels = dset['targets']
+
+    df = dset['df']
+
+    logger.info('features: #{} {}'.format(
+        len(dset['features']), dset['features']))
+
+    desc = ''
+    for lbl in labels:
+        card = len(set(df[lbl]))
+        desc += str(card)
+
+    logger.info('label(s): {} # {}'.format(labels, desc))
+
+    logger.info('#: {}'.format(
+        dset['df'].values.shape[0]))
+
+
+def load_dataset_from_csv(logger, icsv, label):
+    logger.info('loading csv {}'.format(icsv))
+    df = pd.read_csv(icsv)
+    features = list(df.columns)
+    if label is not None:
+        assert label in features
+        features.remove(label)
+    logger.info('features: #{} {} label:{}'.format(
+        len(features), features, label))
+    rval = 0
+    return (rval, {
+        'df': df,
+        'targets': [label],
+        'features': features,
+        'features_not_scalable': []
+    } if not rval else None)
+
+
+def init_arg():
+    parser = argparse.ArgumentParser()
+    parser.add_argument('-o')
+    parser.add_argument('--dataset')
+    parser.add_argument(
+        '--target',
+        default='label',
+        help='targets, separated by ,')
+    parser.add_argument('--pmiss', default=0, type=float)
+    parser.add_argument('-n', default=0, type=int)
+    parser.add_argument(
+        '--showavailable',
+        help='show available datasets',
+        action='store_true')
+    parser.add_argument(
+        "--separator",
+        default=',',
+        help="separator to use when writing to csv file")
+    return parser.parse_args()
+
+
+if __name__ == '__main__':
+
+    logger = logging.getLogger()
+    logging.basicConfig(level=logging.INFO, format='%(message)s')
+    logger.setLevel(logging.INFO)
+
+    args = init_arg()
+    dataset = args.dataset
+    fn_o = args.o
+    label = args.target.split(',')
+    p_miss = args.pmiss
+    sep = args.separator
+    nsample = args.n
+    
+    if args.showavailable:
+        dataset_lst = get_available_datasets()
+        logger.info('available datasets: {}'.format(dataset_lst))
+        sys.exit(0)
+    
+    # hack: space marker: some tools cannot deal with spaces with are part of
+    # the name
+    dataset = dataset.replace('@', ' ') if dataset is not None else dataset
+
+    rval, dset = get_dataset(dataset)
+    assert rval == 0
+    dataset_log_properties(logger, dset)
+    features = dset['features']
+    df = dset['df']
+    logger.info(dset['targets'])
+    assert len(dset['targets']) >= 1
+
+    df_dst = df[features+dset['targets']]
+
+    if label[0] not in dset['targets']:
+        print(dset['targets'], label)
+        print(df_dst.columns)
+        df_dst[label] = df[dset['targets']]
+        print(df.columns)
+        df_dst = df_dst.drop(dset['targets'], axis=1)
+        for el in dset['targets']:
+            assert el not in df_dst.columns
+
+    del df
+    
+    logger.info('{} {} o:{} lbl:{} pmiss:{}'.format(
+        dataset,
+        df_dst.values.shape,
+        fn_o,
+        label,
+        p_miss))
+
+    if nsample:
+        df_dst = df_dst[:nsample]
+
+    if p_miss:
+        df_dst[features] = utilmlab.introduce_missing(df_dst[features], p_miss)
+    assert fn_o is not None
+    compression = 'gzip' if fn_o.endswith('.gz') else None
+    logger.info('saving {} {}'.format(fn_o, list(df_dst.columns)))
+    df_dst.to_csv(fn_o, index=False, compression=compression, sep=sep)
diff --git a/util/utilmlab.py b/util/utilmlab.py
new file mode 100644
index 00000000..8d20272f
--- /dev/null
+++ b/util/utilmlab.py
@@ -0,0 +1,294 @@
+import logging
+import os
+import fnmatch
+import re
+from subprocess import call
+from collections import Counter
+import pandas as pd
+import numpy as np
+from sklearn.preprocessing import label_binarize
+from sklearn.metrics import roc_curve, auc, precision_recall_curve
+from sklearn.metrics import roc_auc_score, average_precision_score
+
+
+def init_logger(odir='.', log_fn='log.txt', use_show=True, log_level=None):
+    logger = logging.getLogger()
+    logging.basicConfig(level=logging.INFO, format='%(message)s')
+    logging.basicConfig(level=logging.WARNING, format='%(message)s')
+    log_fn = "{}/{}".format(odir if len(odir) else ".", log_fn)
+    if os.path.isfile(log_fn):
+        os.remove(log_fn)
+    handler = logging.FileHandler(log_fn)
+    if log_level is None:
+        log_level = logging.INFO if use_show else logging.WARNING
+    handler.setLevel(log_level)
+    logger.addHandler(handler)
+    logger.setLevel(log_level)
+    return logger
+
+
+def get_proj_dir():
+    return os.path.abspath(os.path.join(
+        os.path.dirname(os.path.realpath(__file__)),
+        os.pardir))
+
+
+def get_data_dir():
+    return os.path.join(get_proj_dir(), 'data')
+
+
+def ensure_dir(d):
+    if not os.path.exists(d):
+        os.makedirs(d)
+
+
+def find_file_dir(dir, fn_mask):
+    file_lst = []
+    for dir_name, sub_dir, f_list in os.walk(dir):
+        for file_name in f_list:
+            if fnmatch.fnmatch(file_name, fn_mask):
+                file_lst.append(os.path.join(dir_name, file_name))
+    return file_lst
+
+
+def col_with_nan(df):
+    col_nan = []
+    for el in df.columns:
+        if sum(df[el].isnull()):
+            col_nan.append(el)
+    return col_nan
+
+
+def exe_cmd(logger, cmd, assert_on_error=True):
+    logger.info('cmd:{}'.format(cmd))
+    cmd = re.sub(' +', ' ', cmd).rstrip().lstrip()
+    cmd_lst = cmd.split(' ')
+    rval = call(cmd_lst)
+    if assert_on_error:
+        assert rval == 0
+
+
+def count_properties(a):
+    d = Counter(a)
+    rval_d = dict()
+    sum_val = sum(d.values())
+    for el in d.keys():
+        rval_d['{}_ratio'.format(el)] = d[el]/float(sum_val)
+    kys = d.keys()
+    for el in kys:
+        rval_d[el] = d[el]
+    return rval_d
+
+
+def df_cat_to_one_hot(
+        df,
+        th=0.05,
+        is_verbose=0,
+        dummy_na=True,
+        labels=None,
+        is_cat_one_hot=True):
+
+    '''
+    one hot encoding of columns of a dataframe if number of values (set)
+    is less than a fraction of the number of samples
+    '''
+
+    nsampe = len(df)
+    prop_col = dict()
+    prop_col['dfcolumns'] = df.columns
+    prop_col['is_cat_one_hot'] = is_cat_one_hot
+    df_one_hot = pd.DataFrame()
+    for colnm in df.columns:
+        ncat = len(set(df[colnm].dropna()))
+        ratio = ncat/float(nsampe)
+        is_cat = ratio < th and (
+            colnm not in labels if labels is not None else True)  # is_cat is False if in labels
+        prop_col[colnm] = {
+            'cat': is_cat
+        }
+        if is_cat and is_cat_one_hot:
+            cat_val = list(set(df[colnm].dropna()))
+            df_tmp = pd.get_dummies(df[colnm], dummy_na=dummy_na)
+            col_nan = df_tmp[np.nan].values.reshape(-1, 1) \
+                      if np.nan in df_tmp.columns else None
+            colnms = ['{}_{}'.format(colnm, el) for el in cat_val]
+            df_tmp = df_tmp[cat_val]  # drop na column
+            if col_nan is not None:
+                df_tmp = np.where(
+                    col_nan.repeat(ncat, axis=1),
+                    np.nan,
+                    df_tmp.values)
+                df_tmp = pd.DataFrame(df_tmp, columns=cat_val)
+            if is_verbose:
+                print('cols:{} {} cat:{}'.format(
+                    colnms, df_tmp.columns, cat_val))
+            df_one_hot[colnms] = df_tmp
+            prop_col[colnm]['columns'] = df_tmp.columns
+            prop_col[colnm]['columns_df'] = colnms
+        else:
+            prop_col[colnm]['columns'] = colnm
+            df_one_hot[colnm] = df[colnm]
+    prop_col['dfcol_one_hot'] = list(df_one_hot.columns)
+
+    cat_lst = [prop_col[el]['cat'] for el in prop_col['dfcolumns']]
+    if is_verbose:
+        print('cat:{} (#{}) {}'.format(
+            sum(cat_lst),
+            len(cat_lst),
+            sum(cat_lst)/float(len(cat_lst))))
+    return df_one_hot, prop_col
+
+
+def df_one_hot_to_cat(df_one_hot, prop_one_hot_col, labels=None):
+    '''
+    decodes a one hot encoded dataframe, see method df_cat_to_one_hot(...).
+    '''
+
+    df_dst = pd.DataFrame()
+
+    for colnm in prop_one_hot_col['dfcolumns']:
+        if prop_one_hot_col[colnm]['cat']:
+            if prop_one_hot_col['is_cat_one_hot']:
+                c0 = prop_one_hot_col[colnm]['columns_df']
+                c1 = list(prop_one_hot_col[colnm]['columns'])
+                assert len(c0) == len(c1)
+                df_tmp = pd.DataFrame(
+                    df_one_hot[prop_one_hot_col[colnm]['columns_df']])
+                df_tmp.columns = c1
+                df_dst[colnm] = df_tmp.idxmax(1)
+            else:
+                df_dst[colnm] = np.round(df_one_hot[colnm])
+        else:
+            df_dst[colnm] = df_one_hot[colnm]
+
+    return df_dst
+
+
+def df_get_num_na(df):
+    return int(sum(np.ravel(np.isnan(df))))
+
+
+def introduce_missing(data, p_miss):
+
+    nsample = len(data)
+    nfeatures = data.shape[1]
+
+    p_miss_vec = p_miss * np.ones((nfeatures, 1))
+
+    mask = np.zeros(data.shape)
+
+    for i in range(data.shape[1]):
+        A = np.random.uniform(0., 1., size=[nsample, ])
+        B = A > p_miss_vec[i]
+        mask[:, i] = 1.*B
+
+    X_missing = np.where(mask < 1, np.nan, data)
+    return X_missing
+
+
+def log_meminfo():
+    fn = '/proc/meminfo'
+    if os.path.isfile(fn):
+        f = open(fn, "r")
+        for ln in f:   
+            logger.info('{}'.format(ln))
+        f.close()
+
+
+def get_y_pred_proba_hlpr(y_pred_proba, nclasses):
+    '''
+    returns the column with the class of interest (typically the last
+    column), this is classifier/datatype dependent
+    '''
+    if isinstance(y_pred_proba, tuple):
+        y_pred_proba_tmp = y_pred_proba[1]
+    elif nclasses <= 2 and isinstance(y_pred_proba, (np.ndarray, np.generic)):
+        y_pred_proba_tmp = y_pred_proba if len(y_pred_proba.shape) < 2 else y_pred_proba[:, 1]
+    else:
+        y_pred_proba_tmp = y_pred_proba
+    return y_pred_proba_tmp
+        
+
+def evaluate_auc(y_test, y_pred_proba, classes=None):
+
+    nnan = sum(np.ravel(np.isnan(y_pred_proba)))
+
+    if nnan:
+
+        logger.info('nan in preds when calculating score, return low score')
+        return 0.5, 0
+
+    else:
+               
+        n_classes = len(set(np.ravel(y_test)))
+
+        y_pred_proba_tmp = get_y_pred_proba_hlpr(y_pred_proba, n_classes)
+
+        if n_classes > 2:
+
+            logger.debug('+evaluate_auc {} {}'.format(y_test.shape, y_pred_proba_tmp.shape))
+
+            fpr = dict()
+            tpr = dict()
+            precision = dict()
+            recall = dict()
+            average_precision = dict()
+            thresholds = dict()
+            roc_auc = dict()
+            prc_auc = dict()
+
+            if classes == None:
+                classes = sorted(set(np.ravel(y_test)))
+                logger.info(
+                    'warning: classes is none and more than two '
+                    ' (#{}), classes assumed to be an ordered set:{}'.format(
+                        n_classes, classes))
+
+            y_test = label_binarize(y_test, classes=classes)
+            for i in range(n_classes):
+                fpr[i], tpr[i], _ = roc_curve(y_test[:, i], y_pred_proba_tmp[:, i])
+                precision[i], recall[i], thresholds[i] = precision_recall_curve(
+                    y_test[:, i],
+                    y_pred_proba_tmp[:, i])
+                roc_auc[i] = auc(fpr[i], tpr[i])
+                average_precision[i] = average_precision_score(
+                    y_test[:, i],
+                    y_pred_proba_tmp[:, i])
+
+            fpr["micro"], tpr["micro"], _ = roc_curve(y_test.ravel(), y_pred_proba_tmp.ravel())
+            roc_auc["micro"] = auc(fpr["micro"], tpr["micro"])
+
+            precision["micro"], recall["micro"], _ = precision_recall_curve(
+                y_test.ravel(),
+                y_pred_proba_tmp.ravel())
+
+            average_precision["micro"] = average_precision_score(
+                y_test,
+                y_pred_proba_tmp,
+                average="micro")
+
+            aucroc = roc_auc["micro"]
+            aucprc = average_precision["micro"]
+        else:
+
+            aucroc = roc_auc_score(
+                np.ravel(y_test),
+                y_pred_proba_tmp)
+            aucprc = average_precision_score(
+                np.ravel(y_test),
+                y_pred_proba_tmp)
+
+    return aucroc, aucprc
+
+
+def get_hostname():
+    return os.environ['HOSTNAME'] if 'HOSTNAME' in os.environ else 'unknown'
+
+
+def get_df_compression(fn):
+    return 'gzip' if fn.endswith('.gz') else None
+
+
+logger = logging.getLogger()
+
+